ChapterPDF Available

Effects of Genetic Counseling on Reducing Prenatal Stress and Autism Rates in the Asia-Pacific Region

Authors:
  • The children’s hospital, Zhejiang University school of medicine,

Abstract

Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by difficulties in social interaction, repetitive behaviors, and narrow interests. People with ASD often experience additional mental health issues such as depression and anxiety. While genetics have long been considered a significant factor in the development of ASD, recent research indicates that the interplay between genes and the environment is crucial in understanding its underlying causes. This chapter aims to discuss the relationship between prenatal stress and the characteristics of ASD in countries within the Asia-Pacific region. The findings indicate a connection between prenatal stress and the traits of ASD in China, South Korea, and Japan. Further investigation is required to fully comprehend the specific mechanisms involved in this relationship. Genetic consultation can provide insights into potential risk factors, genetic counseling, and guidance on personalized interventions.
Effects of Genetic Counseling on
Reducing Prenatal Stress and Autism
Rates in the Asia-Pacific Region
Yanhua Bi 1, Kadir Uludag 2
1 Zhejiang University, China
2 Shanghai Jiao Tong University Mental Health Center, China
Abstract: Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized
by difficulties in social interaction, repetitive behaviors, and narrow interests. People with
ASD often experience additional mental health issues such as depression and anxiety. While
genetics have long been considered a significant factor in the development of ASD, recent
research indicates that the interplay between genes and the environment is crucial in
understanding its underlying causes. This chapter aims to discuss the relationship between
prenatal stress and the characteristics of ASD in countries within the Asia-Pacific region. The
findings indicate a connection between prenatal stress and the traits of ASD in China, South
Korea, and Japan. Further investigation is required to fully comprehend the specific
mechanisms involved in this relationship. Genetic consultation can provide insights into
potential risk factors, genetic counseling, and guidance on personalized interventions.
Keywords: Autism Spectrum Disorders, Prenatal Stress, Postnatal Stress, Asian Countries,
Genetic Consultation, Genetic Analysis, Genetic Counseling, Culture
ABOUT THE AUTHOR(S)
Yanhua Bi - MISSING BIOGRAPHY. PLEASE SEND TO THE EDITORS
Kadir Uludag - MISSING BIOGRAPHY. PLEASE SEND TO THE EDITORS
BOOK EDITORS:
Manuel B. Garcia
FEU Institute of Technology, Philippines
Rui Pedro Pereira de Almeida
University of Algarve, Portugal
Note: The book editors reserve the right to edit chapters for style, clarity, coherence, and brevity. Additionally, to
maintain a cohesive voice throughout the book, all book chapters will cite each other as much as feasible.
INTRODUCTION
Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized
by impaired communication, social deficits, and repetitive behaviors. It affects 1 in 59
children (approximately 1.7%) in the USA, and 1 in 143 in China as of 2020 (Leigh & Du,
2015; Zhou et al., 2020). The incidence of ASD among children born in Japan who were
diagnosed with the disorder between 2009 and 2014 was 2.75%, whereas the total prevalence
of ASD among Koreans increased from 5.04 per 100,000 in 2008 to 10.97 per 100,000 in
2015 (Sasayama et al., 2021). Whereas the total prevalence of ASD among Koreans was 5.04
per 100, 000 in 2008 and increased to 10.97 per 100, 000 in 2015 (Hong et al., 2020). These
findings indicate a rising prevalence of ASD, particularly in the United States and Asia-
Pacific regions, encompassing countries such as China, Japan, and South Korea. The social
dynamics and cultural norms vary across the United States, China, Japan, and South Korea.
Cultural variables can vary even within a single country.
Nevertheless, expectant mothers frequently encounter social, economic, physical,
and psychological challenges and burdens during pregnancy, particularly in both
industrialized and developing nations (Furber et al., 2009). In contemporary society,
individuals are required to balance self-care, work responsibilities, and simultaneous
childcare duties (Kim & Chung, 2018). In China, Japan, and South Korea, there has been a
notable increase in the number of pregnant women who are engaging in employment to
provide support for their families. Moreover, it stands apart from previous generations due to
the substantial changes in work culture that have taken place. The stress experienced by these
women is influenced by several complex factors, including physical and psychological
changes, managing daily life, maternal and infant health, maternal role, family support,
healthcare services, social environment, and the challenge of balancing work and pregnancy
responsibilities for those who are working (Kim & Chung, 2018). Recent research conducted
in Japan revealed that pregnant women encounter limited social support and heightened pain
intensity throughout their pregnancy (Yamada et al., 2021). China is rapidly emerging as a
highly progressive nation in the Asia-Pacific region, experiencing significant growth and
development.
The prevalence of psychiatric problems such as depression, anxiety, and stress
during pregnancy was high in Chinese pregnant women (Gao et al., 2019; Hu et al., 2017; Ma
et al., 2019; Wu et al., 2020). In China, where the prevalence of depression, anxiety, and
stress during pregnancy is high, the main stress factors include lower educational
backgrounds, unplanned pregnancies, crowded residential conditions, lower household
income, and a greater number of previous deliveries, as well as poor sleep quality (Gao et al.,
2019; Hu et al., 2017). Pregnant women are at high risk of prenatal stress, depression, and
anxiety during early pregnancy (Tang et al., 2019), even during the COVID-19 period, as
evidenced by research papers published between 2019-2021 (Luo et al., 2021; Rodriguez et
al., 2021; Uludag, 2022; Wang et al., 2020; Zhang et al., 2021).
There is growing research examining the association between prenatal maternal
stress and the risk of neurodevelopmental disorders, including ASD and attention-
deficit/hyperactivity disorder (ADHD) (Class et al., 2014; Khashan et al., 2008; Manzari et
al., 2019; Rodriguez & Bohlin, 2005). However, ASD etiology has not yet been clearly
defined and identified. Novel technologies and large population-based studies provide new
insight into the environmental risk factors and genetic factors contributing to the etiology of
ASD (Modabbernia et al., 2017). Experiencing stress during pregnancy can have negative
consequences for expectant mothers, and both stress and maternal immune dysregulation
have been linked to an increased risk of ASD(Manzari et al., 2019). Autism with intellectual
disability is linked to increased levels of maternal cytokines and chemokines during
gestation(Vargas et al., 2005), as well as neuroglia and innate neuroimmune system activation
in the brain tissue and cerebrospinal fluid of autistic patients(Pardo et al., 2005). Recent
studies have demonstrated that infection, toxin exposures, maternal stress, and maternal
obesity influence inflammatory and immune pathways(P. Krakowiak et al., 2012; Volk et al.,
2014; Zerbo et al., 2015). Chemokines, cytokines interleukin-1, and epidermal growth factor
could penetrate the immature blood-brain barrier and perturbed neurodevelopment(Deverman
& Patterson, 2009), leading to severe and persistent behavioral and cognitive
abnormalities(Nawa & Takei, 2006).
MAIN FOCUS OF THE CHAPTER
While genetics have long been considered a significant factor in the development of
ASD, recent research indicates that the interplay between genes and the environment is
crucial in understanding its underlying causes. Studies have shown that prenatal exposure to
stress can impact both the neurodevelopment and immune system of offspring. Pregnant
women who are employed face particular vulnerability to prenatal stress due to various
pressures and demands. To prevent and address ASD, it is essential to comprehend the
mechanisms by which it develops and how environmental factors, including prenatal stress,
contribute to its occurrence. This chapter aims to discuss the relationship between prenatal
stress and the characteristics of ASD. Furthermore, we have incorporated inflammatory
biomarkers, such as microglia, into our review. Furthermore, as cortisol is a stress-related
marker, we have also incorporated cortisol into our study. Nevertheless, we have only
incorporated a limited number of biomarkers that are relevant to our subject matter.
This chapter pose significant contribution to the the areas of health literacy and
medical practice. The advent of advanced technologies is indeed fundamentally transforming
prenatal care, including genetic counseling. With the integration of sophisticated data
analytics, blockchain, artificial intelligence, and telemedicine (e.g., Barua et al., 2024; Miller
et al., 2024; Tariq, 2024), the process of interpreting and conveying genetic information to
expectant parents is becoming more precise and personalized. These technological
developments facilitate a deeper understanding of the interplay between genetic and
environmental factors, including prenatal stress, in the development of ASD. The rise of
educational technologies, including apps and online platforms, further augments the capacity
of pregnant women, especially those in high-stress jobs, to access information and strategies
for stress management. This chapter contributes to the evolving narrative of how emerging
technologies are essential in enhancing health literacy, reshaping medical practices (Datta &
Barua, 2024; Pramanik, 2024; Roy & Ashmika, 2024), and potentially reducing the incidence
of ASD through informed prenatal care.
BACKGROUND OF THE STUDY
The Influence of Asian Cultures on Autism Spectrum Disorder
The proportion of women in the workforce is increasing worldwide, including in
countries like Japan, South Korea, and China where cultural norms traditionally viewed
women as being primarily responsible for household labor and motherhood until the mid-20th
century. As these countries became industrial countries, more women entered the workforce
across all fields. Nevertheless, the rise in female employment has rendered women more
vulnerable to stress, both within their professional environments and within their domestic
lives, as illustrated in Figure 1.
Figure 1. The Causes of Persistent Stress During Pregnancy and Its Link to ASD
In the context of Japan, female employees tend to repress positive emotions when
confronted with work-related stressors and this behavior has been associated with psychiatric
conditions such as major depression (Kawakami & Haratani, 1999). Additionally, regardless
of employment status, domestic work stress has a significant impact on women's
psychological health. The well-being of women is connected to the impacts of household
chores, work-life balance challenges, the support received from family members, and various
factors within the occupational sphere (Kachi et al., 2020). A prior study suggested that
prenatal stress may lead to low birth weight, smaller head circumference, preterm delivery,
skewed sex ratios, and retardation of fetal brain development (Hibino et al., 2009).
In South Korea where 41% of the workforce is made up of women (Korean
National Statistical Office, 2003), work and family-related stress are critical factors that
impact women’s health and well-being in the workplace (Kim et al., 2005). Moreover,
women who have limited access to resources are at a higher risk of experiencing symptoms
of depression (Oh & Park, 2020).
In China, where around 70% of women participate in the labor force, women in the
workforce face not only the pressures of their jobs but also the demands of family
responsibilities such as child-rearing and eldercare. Some women even work throughout their
pregnancies, potentially harming fetal brain development. For those living in China's big
cities, the high cost of living can exacerbate these pressures, especially for young couples.
The effects of these conditions on the brain development of the fetus are still unclear.
Societies need to acknowledge and address the unique challenges that women face in the
workplace and at home, to promote their physical and mental health and well-being. By
providing support for working women, including resources for managing stress and balancing
work and family responsibilities, we can ensure that women's health is prioritized in the
workforce.
PRENATAL STRESS
Prenatal Persistent Stress
Mothers who experience anxiety, psychosocial stress, and depression are at risk for
various adverse health outcomes, such as cardiovascular disease, obesity, hypertension,
hyperlipidemia, insulin resistance, non-insulin-dependent diabetes mellitus, asthma, and other
health problems (Barker et al., 1993; Cookson et al., 2009; McCalman & Morley, 2003;
McCormack et al., 2003; Richards et al., 2001; Roseboom et al., 2000). Both mothers and
their fetuses are vulnerable to psychosocial and biological stress. Stress during pregnancy can
reduce offspring's affective responses to stress, impair memory function, and increase the risk
of postpartum depression (Sandman et al., 2012). Prenatal stress excess emotional and brain
structure modification in offspring (Soares-Cunha et al., 2018). Prenatal stress can also result
in emotional and structural changes in the brains of offspring, affect embryonic and adult
microglia, and disrupt GABAergic progenitor migration. Elevated glucocorticoids, which are
a risk factor associated with prenatal stress, can lead to increased anxiety, fearfulness,
cognitive impairments, and alterations in brain structure and function in offspring (Kim et al.,
2015; Krontira et al., 2020; Osborne et al., 2018). Elevated levels of glucocorticoids
additionally hinder the process of placental vascularization, leading to the disruption of the
protective barrier provided by the placenta (Krontira et al., 2020). Prenatal stress interferes
with the protective barrier of the placenta by increasing glucocorticoid levels, which is
achieved by inhibiting the vascularization of the placenta (Ozmen et al., 2017).
Recent studies have suggested that maternal stress exposure may play a vital role in
the development of ASD (Beversdorf et al., 2005; Beversdorf et al., 2018; Kinney et al.,
2008). The link between maternal stress and a range of adverse behavioral responses,
including fear and anxiety-like behaviors, as well as abnormal stress reactivity in offspring,
persists into adulthood (Ward et al., 2000; Weinstock, 1997). These findings emphasize the
importance of understanding the impact of prenatal stress on both maternal and child health
outcomes, including the potential contribution to the development of ASD and the long-term
consequences on behavior and stress regulation. Prenatal stress and its associated factors are
highly likely to have a significant impact on postnatal life as well. Additionally, these factors
have the potential to influence intricate epigenetic mechanisms.
Prenatal Stress and Genetics
Prenatal stress and genetics are two interconnected factors that have garnered
significant attention in the field of developmental psychology and reproductive health.
Prenatal stress refers to the psychological and physiological stress experienced by the mother
during pregnancy, which can have profound effects on the developing fetus. On the other
hand, genetics encompasses the inherited traits and genetic variations passed down from
parents to their offspring, playing a crucial role in shaping an individual's physical and
psychological characteristics. Eighteen human and sixteen animal studies on prenatal stress
interaction with genetic variants were reviewed. Maternal serotonin transporter genetics
interact with prenatal stress to affect offspring symptoms. Offspring serotonin, dopamine, and
stress physiology-related alleles interact with prenatal stress (Abbott et al., 2018).
The reviewed studies, encompassing both human and animal research, have shed
light on the interaction between prenatal stress and genetic variants. Specifically, maternal
serotonin transporter genetics have been found to interact with prenatal stress, impacting
offspring symptoms. Moreover, alleles related to serotonin, dopamine, and stress physiology
in offspring have demonstrated interactions with prenatal stress. These findings highlight the
intricate interplay between prenatal stress and genetics, emphasizing the need for further
research to better understand their combined effects on offspring outcomes and pave the way
for tailored interventions and support strategies in the realm of reproductive health.
Prenatal Stress and Evolutionary Psychology
There is evidence to suggest that when a mother experiences stress or anxiety during
pregnancy, her child may be more likely to exhibit symptoms of ADHD, conduct disorder,
aggression, or anxiety. For example, a previous study found that prenatal stress exposure was
associated with an increased risk of ADHD symptoms in children (Ronald et al., 2011). While
there is ongoing debate about the proportion of these effects that are due to prenatal versus
postnatal factors and the role of genetics, there is strong evidence to indicate that exposure to
prenatal stress can increase the risk of later psychopathology.
It is possible that in our evolutionary history, some increase in these characteristics
in certain individuals was adaptive in response to a stressful environment, and that fetal
programming prepared the child or group for the environment in which they were going to
find themselves (Glover, 2011). However, it is important to note that the stressors faced by
humans today are often very different from those in our evolutionary past. Furthermore, the
negative effects of prenatal stress exposure can have long-term consequences on an
individual's mental and physical health that may not be immediately apparent.
Therefore, it is crucial to recognize the potential risks of prenatal stress exposure and
take steps to reduce stress levels during pregnancy. This may involve seeking social support,
practicing relaxation techniques, and engaging in activities that promote overall well-being
(Aminabee, 2024; Lobo et al., 2024; Martin & Alarcón-Urbistondo, 2024). By doing so,
mothers can give their children the best chance for healthy development and positive
outcomes later in life.
POSTNATAL STRESS
Previous literature confirmed the relation between some prenatal, perinatal, and
postnatal factors with autism. There have been several studies exploring the relationship
between prenatal, perinatal, and postnatal factors and autism. A study published in the Journal
of the American Academy of Child and Adolescent Psychiatry in 2015 found that exposure to
maternal infection during pregnancy was associated with an increased risk of autism
(Atladóttir et al., 2012). Similarly, a study published in the journal Pediatrics in 2014 found
that infants who experienced birth complications such as low birth weight, birth asphyxia,
and neonatal hypoglycemia were more likely to be diagnosed with autism later in childhood
(Paula Krakowiak et al., 2012). Additionally, a recent study published in JAMA Pediatrics in
2020 found that exposure to air pollution during pregnancy was associated with an increased
risk of autism in offspring (Raz et al., 2015). All these factors were examined individually,
thus it was still unclear whether these factors are causal or play a secondary role in the
development of autism (Wang et al., 2017). While these studies provide valuable insights into
the potential links between various prenatal, perinatal, and postnatal factors and autism, it is
important to note that they do not establish causation. Further research is needed to better
understand the complex interplay between genetic, psychological, and environmental factors
in the development of autism.
INFLAMMATORY BIOMARKERS, AUTISM, AND GENETICS
In recent years, there has been growing interest and research focused on the role of
inflammatory biomarkers, autism, and genetics in understanding the complex etiology of
ASD. Inflammatory markers, including microglia, play a crucial role as valuable biomarkers
in providing insights into an individual's health status. Furthermore, inflammatory markers
are used for prediction in the field of psychiatry (Uludag et al., 2023).
Microglia
Microglia plays a critical role and is one of the most important glial cells in the
central nervous system, which colonizes the fetus as primitive myeloid precursor cells from
the yolk sac, starting from the 9th day of the embryo (Ginhoux et al., 2010). Immune
molecules and glia are vital for normal development and the CNS environment (Deverman &
Patterson, 2009). Recent studies have suggested that microglial activation may be involved in
the pathogenesis of ASD (Morgan et al., 2010; Vargas et al., 2005). When microglia are
activated by any perturbation, they can be long-lived and remain activated chronically (Town
et al., 2005). Activation of microglia leads to the production of sensitized inflammatory
responses that can have a detrimental impact on the CNS, leading to abnormal neuronal
connectivity and function. Our review hypothesized that microglial activation by non-
infectious environmental factors in pregnancy-prenatal persistent stress is a critical
mechanism in the pathophysiology subtype of ASD for a wide segment of the population.
Non-infectious environmental factors such as prenatal persistent stress may trigger microglial
activation, leading to an increased risk of ASD. Evidence suggests that mothers who
experience stress during pregnancy have a higher likelihood of having children with ASD,
and exposure to prenatal stress in animal models leads to microglial activation and ASD-like
behaviors in offspring. It is important to note that microglial activation is not the only
mechanism involved in the pathophysiology of ASD. Genetic and epigenetic factors also play
a role in the development of ASD. Further research is needed to better understand the
complex interplay between microglial activation and other risk factors for ASD to develop
effective prevention and treatment strategies.
Microglia and Prenatal Persistent Stress
Microglia, which are immune cells in the brain, change both the fetal and postnatal
rodent brain due to prenatal stress and maternal immune activation. These alterations include
significant changes in the density of multivacuolated microglia, as well as variations in the
number of microglia and their activation levels (Bilbo et al., 2018; Bittle & Stevens, 2018;
Gumusoglu et al., 2017). However, the specific microglial changes in maternal physiology
under stress are not well understood. Disruptions to normal microglial development,
including those caused by infection, toxins, and stress, may contribute to aberrant microglial
development, potentially having long-lasting effects on brain function and increasing the risk
of various diseases (Hanamsagar & Bilbo, 2017). We hypothesize that when pregnant women
reside in a relaxed environment, their offspring's cognitive pathways, including thinking and
decision-making, function efficiently, akin to driving on a smooth, high-speed road.
Conversely, when pregnant women are in a highly stressed environment, it may adversely
affect the offspring's microglia morphology and activation, leading to cognitive pathways that
are less efficient, similar to driving on an uneven road (Figure 2).
Figure 2. How Prenatal Stress and a Relaxing Environment Influence Cognitive Pathways in Decision-
Making and Thinking
Cortisol, Stress, and Autism
Cortisol, stress, and autism have emerged as interconnected factors that have drawn
considerable attention in the field of autism research. Recent evidence has shed further light
on the complex relationship between cortisol, stress, and autism. A study published in 2021
found that children with autism and high levels of anxiety exhibited altered cortisol rhythms
compared to typically developing children and those with autism without anxiety (Corbett et
al., 2006). This suggests that anxiety may play a role in the dysregulation of the cortisol
system in individuals with autism. Overall, the literature highlights the potential impact of
caregiving stress on cortisol dysregulation in individuals with autism. The level of cortisol in
the amniotic fluid, surrounding the baby in the womb, is inversely correlated with infant
cognitive development (Glover, 2015). Overall, these recent studies suggest that cortisol
dysregulation in individuals with autism is likely to be influenced by a range of factors,
including anxiety, caregiving stress, and potentially altered neurodevelopmental processes.
Further research is needed to better understand these complex interactions and to develop
effective interventions to support stress management in individuals with autism and their
caregivers.
THE SIGNIFICANCE OF GENETIC COUNSELING
Significant progress has been made in various areas, such as the understanding of
inherited diseases, advancements in the examination of human chromosomes to identify
chromosomal abnormalities, and the ability to diagnose specific diseases during the second
trimester of pregnancy (Fraser, 1974). Genetic counseling involves assisting individuals in
comprehending and adjusting to the medical, psychological, and familial consequences
related to the genetic factors contributing to diseases (Resta et al., 2006).
A "genetic counselor" refers to a health professional at the master's level who has
received comprehensive training in human genetics as well as counseling abilities(Bennett et
al., 2003). There is a consensus among genetic counselors that conducting genetic counseling
in a morally impartial manner is essential (Caplan, 2020; Garcia et al., 2024). Genetic
counselors are depicted as fulfilling various roles, including that of a genetics educator,
mediator, lifestyle advisor, interpreter of risks, and entrepreneur (Harris et al., 2013).
Additionally as mentioned in the previous study (Ritvo et al., 1989), the estimated overall
risk of autism recurrence (the likelihood of each subsequent sibling of an autistic child
developing autism) is 8.6%. If the first autistic child is male, the estimated recurrence risk is
7%, while for a female, it is 14.5%. It is important to provide these updated recurrence risk
estimates to individuals with autistic children who are considering family planning (Ritvo et
al., 1989). Furthermore, studies published from 1961 to 2003, support the notion that autism
is primarily caused by a combination of multiple genetic factors (Muhle et al., 2004).
Furthermore, the remarkable progress made in understanding the genetic aspects of autism
through genetic and molecular research, coupled with the development of new diagnostic
tools, has significantly transformed the landscape, allowing for the identification of a
potential underlying genetic cause in approximately 25% of autism cases using the currently
available molecular tests (Griesi-Oliveira & Sertié, 2017).
In conclusion, significant advancements in the understanding of inherited diseases,
chromosomal examination, and prenatal diagnosis have paved the way for genetic counseling
to assist individuals in comprehending and adapting to the medical, psychological, and
familial implications of genetic factors contributing to diseases. Genetic counselors, who
possess specialized training in human genetics and counseling, play diverse roles in
educating, mediating, advising on lifestyle, interpreting risks, and even entrepreneurship. It is
crucial to provide the latest recurrence risk estimates for autism to individuals with autistic
children considering family planning.
SUGGESTIONS FOR FURTHER STUDIES
Access to genetic counseling should be provided for individuals who are part of at-
risk groups. Furthermore, efforts should be made to educate individuals about the importance
and availability of genetic counseling, encouraging them to seek it when appropriate.
Collaborations between healthcare professionals, genetic counselors, and community
organizations can help raise awareness and reach underserved populations (Almeida, 2024;
Hauwaert et al., 2024; Silva et al., 2024). Integration of genetic counseling into routine
healthcare practices, such as preconception care and prenatal screening, can also enhance
accessibility. Moreover, ongoing research and advancements in genetic testing technologies
should be supported to expand the scope and accuracy of genetic counseling services.
Additionally, it is important to propose a solid framework that can be used for the evaluation
of genetic services as mentioned in the previous study (Wang et al., 2004).
While patient satisfaction has gained considerable attention in evaluating medical
care, it has been relatively overlooked in the context of genetic counseling (Shiloh et al.,
1990). Given the relative neglect of patient satisfaction in the realm of genetic counseling, it
is crucial to address this issue and make improvements to enhance the overall patient
experience. Here are some suggestions to consider:
1. Implement patient feedback mechanisms: Establish systems that allow patients to
provide feedback on their genetic counseling experience. This can be in the form of
surveys, questionnaires, or follow-up interviews. Gathering patient perspectives will
help identify areas for improvement and ensure their satisfaction is taken into account.
2. Enhance communication and information sharing: Clear and effective
communication is vital in genetic counseling. Counselors should strive to explain
complex genetic concepts in a way that patients can understand. Providing
comprehensive and accurate information about genetic testing options, potential
outcomes, and available support services can empower patients and contribute to their
satisfaction.
3. Foster a supportive and empathetic environment: Genetic counseling can be an
emotionally charged experience for patients and their families. Creating a
compassionate and supportive atmosphere can significantly impact patient
satisfaction. Counselors should demonstrate empathy, active listening, and respect for
patients' concerns and emotions throughout the counseling process.
4. Continuous professional development: Genetic counselors should engage in
ongoing professional development and training to stay updated on the latest research,
counseling techniques, and patient-centered approaches. This will enable them to
provide high-quality services that meet patients' needs and expectations, ultimately
enhancing patient satisfaction (Silva et al., 2024).
5. Collaborative decision-making: Involving patients in the decision-making process
(Thapliyal et al., 2024) regarding their genetic testing and healthcare options can
increase their sense of control and satisfaction. Genetic counselors should strive to
facilitate shared decision-making, providing patients with the necessary information
and guidance to make informed choices about their genetic healthcare.
6. Evaluate and address wait times: Minimizing wait times and optimizing
appointment scheduling can contribute to patient satisfaction. Efficient management
of clinic schedules and timely communication of appointment reminders can help
reduce patient anxiety and frustration.
By implementing these suggestions and prioritizing patient satisfaction in genetic
counseling, healthcare providers can ensure that patients receive comprehensive, empathetic,
and patient-centered care, finally leading to improved outcomes and overall satisfaction. In
addition, it is imperative to prohibit work conditions that prioritize profits over the well-being
of individuals and are unsuitable for human welfare. To address this issue effectively, the
following suggestions can be considered:
1. Implement and enforce labor regulations: Governments should establish and
enforce strict labor regulations that prioritize the health, safety, and overall well-being
of workers. These regulations should include provisions for reasonable working
hours, fair wages, safe working conditions, and adequate rest breaks.
2. Promote work-life balance: Encourage employers to adopt policies that promote
work-life balance, such as flexible working hours, telecommuting options, and paid
time off. This allows employees to maintain a healthy equilibrium between their
professional and personal lives, reducing stress and promoting overall well-being.
3. Foster a positive and inclusive work culture: Create a work environment that values
employee well-being and fosters a sense of belonging and support. Encourage open
communication, provide opportunities for professional development, and address any
instances of discrimination or harassment promptly and effectively.
4. Prioritize employee mental health: Recognize the importance of mental health in
the workplace and provide resources and support for employees to address their
mental well-being. This can include access to counseling services, mental health
awareness programs, and initiatives that reduce the stigma surrounding mental health
issues.
5. Encourage employee participation and feedback: Empower employees by
involving them in decision-making processes and seeking their feedback on work
conditions. This can be achieved through regular surveys, suggestion boxes, or
employee representative bodies. Actively addressing and implementing employee
suggestions can improve overall satisfaction and well-being.
It is crucial to take these criteria into account from the perspective of individuals
who have children with autism. Moreover, further reviews can explore additional
inflammatory biomarkers (C-reactive protein, tumor necrosis factor-alpha, interleukin 6,
interleukin 1 beta) that can be utilized in the context of autism, prenatal stress, and genetics.
Exploring the potential involvement of other inflammatory markers, such as interleukin 8
(IL-8), interferon-gamma (IFN-γ), and transforming growth factor-beta (TGF-β), may
provide a more comprehensive understanding of the intricate relationships between these
factors. By examining a broader range of inflammatory biomarkers, researchers can gain
deeper insights into the underlying mechanisms and potential biomolecular pathways
involved in the complex interactions between autism, prenatal stress, and genetic factors.
Moreover, it is worth considering the inclusion of oxidative stress markers as potential
biomarkers in addition to the previously mentioned inflammatory markers. By incorporating
these markers into research and clinical studies, a more comprehensive understanding of the
oxidative stress response and its implications can be attained, particularly about autism,
prenatal stress, and genetics.
Moreover, it is crucial to conduct regular prevalence studies to monitor the rates of
genetic diseases consistently. By implementing these suggestions and prioritizing prevalence
studies, we can effectively track rates of genetic diseases, improve early detection, enhance
patient care, and work towards better management and prevention strategies. In the context of
ASD, several factors are noteworthy:
1. Early Detection and Intervention: AI-based methods possess the potential to
identify early indicators of diseases and disorders, thereby enabling timely
intervention and support for affected individuals (Garcia et al., 2021; Maaliw et al.,
2022; Suriyan & Nagarajan, 2024). This approach could apply to ASD.
2. Enhanced Diagnostic Precision: Artificial intelligence algorithms can analyze
extensive datasets, facilitating the identification of complex relationships between
clinical and behavioral factors associated with ASD. This can lead to more precise and
accurate diagnostic processes (Barua, 2024).
3. Automation and Efficiency: AI technologies offer automation of various diagnostic
aspects, streamlining the assessment process and improving efficiency in identifying
ASD-related indicators.
It is important to consider these factors as they demonstrate the potential benefits of
utilizing AI in the diagnosis and management of autism disorder.
CONCLUSION
The culture and industrialization processes of the three countries in the Asia-Pacific
region are very similar. In the process of urbanization, many women migrate into cities in
search of jobs and living, but at the same time, they are also facing the pressure of life and
work. Many women marry men in major cities and become pregnant. These pregnant women
often keep working. It is unclear whether these external pressures will affect the outbreak of
psychiatric diseases, and the social interaction and neurodevelopment of young children.
However, the incidence of autistic children in these three countries is very high. The high
outbreak of ASD is a certain similarity with the labor participation rate of women in three
countries. Therefore, we predict that the high incidence of autism in China, South Korea, and
Japan is related to women’s persistent stress during pregnancy. It is crucial to acknowledge
that the incidence of autism in China, South Korea, and Japan is a complex issue that requires
a more comprehensive approach to understanding the underlying causes. Genetics also plays
a significant role in the development of autism, and environmental factors such as stress
during pregnancy may increase the risk, but they are not the sole cause. Furthermore, it is
essential to avoid stigmatizing or blaming mothers for the development of autism in their
children. The causes of autism are multifactorial and complex, and it is crucial to approach
this issue with sensitivity and empathy. To address the challenges associated with autism in
these countries and globally, research efforts should focus on identifying the various factors
that contribute to the development of autism and developing effective interventions and
support systems for individuals with autism and their families. Taking a comprehensive and
nuanced approach is essential to understanding and addressing the challenges associated with
autism. Genetic counseling has the potential to contribute to the reduction of autism rates in
Asian countries (e.g., China, Japan, and South Korea) and across the globe.
ADDITIONAL READING
Akrivopoulou, C. M. (Ed.). (2015). Protecting the Genetic Self from Biometric Threats:
Autonomy, Identity, and Genetic Privacy. IGI Global. https://doi.org/10.4018/978-1-4666-
8153-8
Almeida, R. P. (Ed.). (2022). Handbook of Research on Improving Allied Health Professions
Education: Advancing Clinical Training and Interdisciplinary Translational Research. IGI
Global. https://doi.org/10.4018/978-1-7998-9578-7
Garcia, M. B., Lopez Cabrera, M. V., & de Almeida, R. P. (Eds.). (2023). Handbook of
Research on Instructional Technologies in Health Education and Allied Disciplines. IGI
Global. https://doi.org/10.4018/978-1-6684-7164-7
Jamanis, S. & Vogler-Elias, D. (Eds.). (2024). Autism, Neurodiversity, and Equity in
Professional Preparation Programs. IGI Global. https://doi.org/10.4018/979-8-3693-0163-0
Kats, Y. (Ed.). (2017). Supporting the Education of Children with Autism Spectrum
Disorders. IGI Global. https://doi.org/10.4018/978-1-5225-0816-8
Saha, A. & Agarwal, N. (2018). Assessing Social Support and Stress in Autism-Focused
Virtual Communities: Emerging Research and Opportunities. IGI Global.
https://doi.org/10.4018/978-1-5225-4020-5
KEY TERMS AND DEFINITIONS
Autism Spectrum Disorder (ASD): A neurodevelopmental disorder characterized by
challenges with social interaction, communication, and often accompanied by repetitive
behaviors. ASD encompasses a range of conditions that were previously considered separate
autism, Asperger's syndrome, childhood disintegrative disorder, and an unspecified form of
pervasive developmental disorder.
Cortisol: A steroid hormone produced by the adrenal glands, often referred to as the "stress
hormone" as its levels increase in response to stress. It plays a crucial role in regulating
various bodily functions including metabolism, immune response, and stress responses.
Genetic Counseling: A process that involves analyzing and advising individuals about the
genetic risks and implications of inherited disorders. It helps individuals understand and
adapt to the medical, psychological, and familial implications of genetic contributions to
diseases.
Microglia: Specialized immune cells located in the brain and spinal cord, part of the central
nervous system's immune defense. They play a key role in brain maintenance, including the
removal of damaged neurons and infection control, and have been implicated in the
pathology of various neurodevelopmental disorders.
Prenatal Stress: The stress experienced by a pregnant woman, which can have significant
impacts on the fetus's development. This stress can be psychological or physiological and is
known to affect both the mother and the developing fetus, potentially leading to long-term
health and developmental consequences.
Psychopathology: The study of abnormal behaviors and mental disorders. In the context of
this paper, it refers to the potential developmental and psychological disorders that can arise
as a result of prenatal stress or other factors related to ASD.
Neurodevelopmental Disorders: A group of disorders that affect the development of the
nervous system, leading to abnormal brain function which may affect emotion, learning
ability, self-control, and memory. ASD falls under this category.
REFERENCES
Abbott, P. W., Gumusoglu, S. B., Bittle, J., Beversdorf, D. Q., & Stevens, H. E. (2018). Prenatal stress and genetic
risk: How prenatal stress interacts with genetics to alter risk for psychiatric illness.
Psychoneuroendocrinology, 90, 9-21. https://doi.org/10.1016/j.psyneuen.2018.01.019
Almeida, R. S. d. (2024). Beyond Textbooks and Standard Practices: Advancing Mental Health Literacy with
Digital Tools. In Emerging Technologies for Health Literacy and Medical Practice. IGI Global.
https://doi.org/10.4018/979-8-3693-1214-8.ch002
Aminabee, S. (2024). The Future of Healthcare and Patient-Centric Care: Digital Innovations, Trends, and
Predictions. In Emerging Technologies for Health Literacy and Medical Practice. IGI Global.
https://doi.org/10.4018/979-8-3693-1214-8.ch012
Atladóttir, H., Henriksen, T. B., Schendel, D. E., & Parner, E. T. (2012). Autism After Infection, Febrile Episodes,
and Antibiotic Use During Pregnancy: An Exploratory Study. Pediatrics, 130(6), 1447-1454.
https://doi.org/10.1542/peds.2012-1107
Barker, D. J., Osmond, C., Simmonds, S. J., & Wield, G. A. (1993). The Relation of Small Head Circumference
and Thinness at Birth to Death From Cardiovascular Disease in Adult Life. BMJ, 306(6875), 422-426.
https://doi.org/10.1136/bmj.306.6875.422
Barua, R. (2024). Innovations in Minimally Invasive Surgery: The Rise of Smart Flexible Surgical Robots. In
Emerging Technologies for Health Literacy and Medical Practice. IGI Global.
https://doi.org/10.4018/979-8-3693-1214-8.ch006
Barua, R., Biswas, N., & Das, D. (2024). Emergent Applications of Organ-on-a-chip (OOAC) Technologies with
Artificial Vascular Networks in the 21st Century. In Emerging Technologies for Health Literacy and
Medical Practice. IGI Global. https://doi.org/10.4018/979-8-3693-1214-8.ch010
Bennett, R. L., Hampel, H. L., Mandell, J. B., & Marks, J. H. (2003). Genetic Counselors: Translating Genomic
Science Into Clinical Practice. The Journal of clinical investigation, 112(9), 1274-1279.
https://doi.org/10.1172/JCI20113
Beversdorf, D. Q., Manning, S. E., Hillier, A., Anderson, S. L., Nordgren, R. E., Walters, S. E., Nagaraja, H. N.,
Cooley, W. C., Gaelic, S. E., & Bauman, M. L. (2005). Timing of Prenatal Stressors and Autism. Journal
of Autism and Developmental Disorders, 35(4), 471-478. https://doi.org/10.1007/s10803-005-5037-8
Beversdorf, D. Q., Stevens, H. E., & Jones, K. L. (2018). Prenatal Stress, Maternal Immune Dysregulation, and
Their Association With Autism Spectrum Disorders. Current Psychiatry Reports 20(9), 1-12.
https://doi.org/10.1007/s11920-018-0945-4
Bilbo, S. D., Block, C. L., Bolton, J. L., Hanamsagar, R., & Tran, P. K. (2018). Beyond Infection - Maternal
Immune Activation by Environmental Factors, Microglial Development, and Relevance for Autism
Spectrum Disorders. Experimental Neurology, 299, 241-251.
https://doi.org/10.1016/j.expneurol.2017.07.002
Bittle, J., & Stevens, H. E. (2018). The Role of Glucocorticoid, Interleukin -1beta, and Antioxidants in Prenatal
Stress Effects on Embryonic Microglia. Journal of Neuroinflammation, 15(1), 1-6.
https://doi.org/10.1186/s12974-018-1079-7
Caplan, A. L. (2020). Neutrality is Not Morality: The Ethics of Genetic Counseling. In Prescribing Our Future
(pp. 149-165). Routledge. https://doi.org/10.4324/9781351328609-16
Class, Q. A., Abel, K. M., Khashan, A. S., Rickert, M. E., Dalman, C., Larsson, H., Hultman, C. M., Langstrom,
N., Lichtenstein, P., & D'Onofrio, B. M. (2014). Offspring Psychopathology Following Preconception,
Prenatal and Postnatal Maternal Bereavement Stress. Psychological Medicine, 44(1), 71-84.
https://doi.org/10.1017/S0033291713000780
Cookson, H., Granell, R., Joinson, C., Ben-Shlomo, Y., & Henderson, A. J. (2009). Mothers' Anxiety During
Pregnancy is Associated With Asthma in Their Children. Journal of Allergy and Clinical Immunology,
123(4), 847-853. https://doi.org/10.1016/j.jaci.2009.01.042
Corbett, B. A., Mendoza, S., Abdullah, M., Wegelin, J. A., & Levine, S. (2006). Cortisol Circadian Rhythms and
Response to Stress in Children With Autism. Psychoneuroendocrinology, 31(1), 59-68.
https://doi.org/10.1016/j.psyneuen.2005.05.011
Datta, S., & Barua, R. (2024). 3D Printing in Modern Healthcare: An Overview of Materials, Methods,
Applications, and Challenges. In Emerging Technologies for Health Literacy and Medical Practice. IGI
Global. https://doi.org/10.4018/979-8-3693-1214-8.ch007
Deverman, B. E., & Patterson, P. H. (2009). Cytokines and CNS Development. Neuron, 64(1), 61-78.
https://doi.org/10.1016/j.neuron.2009.09.002
Fraser, F. C. (1974). Genetic Counseling. Am J Hum Genet, 26(5), 636-659.
https://pubmed.ncbi.nlm.nih.gov/4609197/
Furber, C. M., Garrod, D., Maloney, E., Lovell, K., & McGowan, L. (2009). A Qualitative Study of Mild to
Moderate Psychological Distress During Pregnancy. International Journal of Nursing Studies, 46(5),
669-677. https://doi.org/10.1016/j.ijnurstu.2008.12.003
Gao, M., Hu, J., Yang, L., Ding, N., Wei, X., Li, L., Liu, L., Ma, Y., & Wen, D. (2019). Association of Sleep
Quality During Pregnancy With Stress and Depression: A Prospective Birth Cohort Study in China. BMC
Pregnancy Childbirth, 19(1), 1-8. https://doi.org/10.1186/s12884-019-2583-1
Garcia, M. B., Garcia, P. S., Maaliw III, R. R., Lagrazon, P. G. G., Arif, Y. M., Ofosu -Ampong, K., Yousef, A.
M. F., & Vaithilingam, C. A. (2024). Technoethical Considerations for Advancing Health Literacy and
Medical Practice: A Posthumanist Framework in the Age of Healthcare 5.0. In Emerging Technologies
for Health Literacy and Medical Practice. IGI Global. https://doi.org/10.4018/979-8-3693-1214-8.ch001
Garcia, M. B., Revano Jr, T. F., & Cunanan-Yabut, A. (2021). Hand Alphabet Recognition for Dactylology
Conversion to English Print Using Streaming Video Segmentation. 2021 9th International Conference
on Computer and Communications Management (ICCCM). https://doi.org/10.1145/3479162.3479169
Ginhoux, F., Greter, M., Leboeuf, M., Nandi, S., See, P., Gokhan, S., Mehler, M. F., Conway, S. J., Ng, L. G.,
Stanley, E. R., Samokhvalov, I. M., & Merad, M. (2010). Fate Mapping Analysis Reveals That Adult
Microglia Derive From Primitive Macrophages. Science, 330(6005), 841-845.
https://doi.org/10.1126/science.1194637
Glover, V. (2011). Annual Research Review: Prenatal Stress and the Origins of Psychopathology: An
Evolutionary Perspective. Journal of Child Psychology and Psychiatry, 52(4), 356-367.
https://doi.org/10.1111/j.1469-7610.2011.02371.x
Glover, V. (2015). Prenatal Stress and Its Effects on the Fetus and the Child: Possible Underlying Biological
Mechanisms. In M. Antonelli (Ed.), Perinatal Programming of Neurodevelopment (pp. 269-283).
Springer. https://doi.org/10.1007/978-1-4939-1372-5_13
Griesi-Oliveira, K., & Sertié, A. L. (2017). Autism Spectrum Disorders: An Updated Guide for Genetic
Counseling. Einstein (Sao Paulo), 15, 233-238. https://doi.org/10.1590/S1679-45082017RB4020
Gumusoglu, S. B., Fine, R. S., Murray, S. J., Bittle, J. L., & Stevens, H. E. (2017). The Role of IL -6 in
Neurodevelopment After Prenatal Stress. Brain, Behavior, and Immunity, 65, 274-283.
https://doi.org/10.1016/j.bbi.2017.05.015
Hanamsagar, R., & Bilbo, S. D. (2017). Environment Matters: Microglia Function and Dysfunction in a Changing
World. Current Opinion in Neurobiology, 47, 146-155. https://doi.org/10.1016/j.conb.2017.10.007
Harris, A., Kelly, S. E., & Wyatt, S. (2013). Counseling Customers: Emerging Roles for Genetic Counselors in
the Direct-to-consumer Genetic Testing Market. Journal of genetic counseling, 22, 277-288.
https://doi.org/10.1007/s10897-012-9548-0
Hauwaert, R. V., Mateus, A. R., Coutinho, A. L., Rodrigues, J., Martins, A. R., Vilela, F., & Almeida, D. (2024).
The Role of Digital Health Technologies on Maternal Health Literacy: A Narrative Review. In Emerging
Technologies for Health Literacy and Medical Practice. IGI Global. https://doi.org/10.4018/979-8-3693-
1214-8.ch003
Hibino, Y., Takaki, J., Kambayashi, Y., Hitomi, Y., Sakai, A., Sekizuka, N., Ogino, K., & Nakamura, H. (2009).
Health Impact of Disaster-Related Stress on Pregnant Women Living in the Affected Area of the Noto
Peninsula Earthquake in Japan. Psychiatry and Clinical Neurosciences, 63(1), 107-115.
https://doi.org/10.1111/j.1440-1819.2008.01911.x
Hong, M., Lee, S. M., Park, S., Yoon, S. J., Kim, Y. E., & Oh, I. H. (2020). Prevalence and Economic Burden of
Autism Spectrum Disorder in South Korea Using National Health Insurance Data from 2008 to 2015.
Journal of Autism and Developmental Disorders, 50(1), 333-339. https://doi.org/10.1007/s10803-019-
04255-y
Hu, H. Q., Zhang, J., Zhao, W., Tian, T., Huang, A. Q., & Wang, L. L. (2017). The Occurrence and Influencing
Factors of Anxiety and Depression Among Pregnant Women in 6 Counties/districts in China. Chinese
Journal of Preventive Medicine, 51(1), 47-52. https://doi.org/10.3760/cma.j.issn.0253-
9624.2017.01.010
Kachi, Y., Inoue, A., Eguchi, H., Kawakami, N., Shimazu, A., & Tsutsumi, A. (2020). Occupational Stress and
the Risk of Turnover: A Large Prospective Cohort Study of Employees in Japan. BMC Public Health,
20(1), 1-8. https://doi.org/10.1186/s12889-020-8289-5
Kawakami, N., & Haratani, T. (1999). Epidemiology of Job Stress and Health in Japan: Review of Current
Evidence and Future Direction. Industrial Health, 37(2), 174-186.
https://doi.org/10.2486/indhealth.37.174
Khashan, A. S., Abel, K. M., McNamee, R., Pedersen, M. G., Webb, R. T., Baker, P. N., Kenny, L. C., &
Mortensen, P. B. (2008). Higher Risk of Offspring Schizophrenia Following Antenatal Maternal
Exposure to Severe Adverse Life Events. Archives of General Psychiatry, 65(2), 146-152.
https://doi.org/10.1001/archgenpsychiatry.2007.20
Kim, D. R., Bale, T. L., & Epperson, C. N. (2015). Prenatal Programming of Mental Illness: Current
Understanding of Relationship and Mechanisms. Current Psychiatry Reports, 17(2), 1-9.
https://doi.org/10.1007/s11920-014-0546-9
Kim, G. S., Cho, W. J., Lee, C. Y., Marion, L. N., & Kim, M. J. (2005). The Relationship of Work Stress and
Family Stress to the Self-rated Health of Women Employed in the Industrial Sector in Korea. Public
Health Nurse, 22(5), 389-397. https://doi.org/10.1111/j.0737-1209.2005.220503.x
Kim, Y., & Chung, C. W. (2018). Development of the Korean Pregnancy Stress Scale. Japan Journal of Nursing
Science, 15(2), 113-124. https://doi.org/10.1111/jjns.12175
Kinney, D. K., Miller, A. M., Crowley, D. J., Huang, E., & Gerber, E. (2008). Autism Prevalence Following
Prenatal Exposure to Hurricanes and Tropical Storms in Louisiana. Journal of Autism and Developmental
Disorders, 38(3), 481-488. https://doi.org/10.1007/s10803-007-0414-0
Krakowiak, P., Walker, C. K., Bremer, A. A., Baker, A. S., Ozonoff, S., Hansen, R. L., & Hertz-Picciotto, I.
(2012). Maternal Metabolic Conditions and Risk for Autism and Other Neurodevelopmental Disorders.
Pediatrics, 129(5), 1121-1128. https://doi.org/10.1542/peds.2011-2583
Krakowiak, P., Walker, C. K., Bremer, A. A., Baker, A. S., Ozonoff, S., Hansen, R. L., & Hertz-Picciotto, I.
(2012). Maternal metabolic conditions and risk for autism and other neurodevelopmental disorders.
Pediatrics, 129(5), e1121-e1128.
Krontira, A. C., Cruceanu, C., & Binder, E. B. (2020). Glucocorticoids as Mediators of Adverse Outcomes of
Prenatal Stress. Trends in Neurosciences, 43(6), 394-405. https://doi.org/10.1016/j.tins.2020.03.008
Leigh, J. P., & Du, J. (2015). Brief Report: Forecasting the Economic Burden of Autism in 2015 and 2025 in the
United States. Journal of Autism and Developmental Disorders, 45(12), 4135-4139.
https://doi.org/10.1007/s10803-015-2521-7
Lobo, M. D., Miravent, S., & Almeida, R. P. P. d. (2024). Emerging Trends in Ultrasound Education and
Healthcare Clinical Applications: A Rapid Review. In Emerging Technologies for Health Literacy and
Medical Practice. IGI Global. https://doi.org/10.4018/979-8-3693-1214-8.ch013
Luo, Z., Shen, Y., Yuan, J., Zhao, Y., Liu, Z., & Shangguan, F. (2021). Perceived Stress, Resilience, and Anxiety
Among Pregnant Chinese Women During the COVID-19 Pandemic: Latent Profile Analysis and
Mediation Analysis. Frontiers in Psychology, 12, 1-9. https://doi.org/10.3389/fpsyg.2021.696132
Ma, X., Wang, Y., Hu, H., Tao, X. G., Zhang, Y., & Shi, H. (2019). The Impact of Resilience on Prenatal Anxiety
and Depression Among Pregnant Women in Shanghai. Journal of Affective Disorders, 250, 57-64.
https://doi.org/10.1016/j.jad.2019.02.058
Maaliw, R. R., Alon, A. S., Lagman, A. C., Garcia, M. B., Abante, M. V., Belleza, R. C., Tan, J. B., & Maaño, R.
A. (2022). Cataract Detection and Grading Using Ensemble Neural Networks and Transfer Learning.
2022 IEEE 13th Annual Information Technology, Electronics and Mobile Communication Conference
(IEMCON), 74-81. https://doi.org/10.1109/IEMCON56893.2022.9946550
Manzari, N., Matvienko-Sikar, K., Baldoni, F., O'Keeffe, G. W., & Khashan, A. S. (2019). Prenatal Maternal
Stress and Risk of Neurodevelopmental Disorders in the Offspring: A Systematic Review and Meta-
Analysis. Social Psychiatry and Psychiatric Epidemiology, 54(11), 1299-1309.
https://doi.org/10.1007/s00127-019-01745-3
Martin, M. S., & Alarcón-Urbistondo, P. (2024). Digital Transformation in Healthcare and Medical Practices:
Advancements, Challenges, and Future Opportunities. In Emerging Technologies for Health Literacy
and Medical Practice. IGI Global. https://doi.org/10.4018/979-8-3693-1214-8.ch009
McCalman, J., & Morley, R. (2003). Mothers' Health and Babies' Weights: the Biology of Poverty at the
Melbourne Lying-In Hospital, 1857-83. Social History of Medicine, 16(1), 39-56.
https://doi.org/10.1093/shm/16.1.39
McCormack, V. A., dos Santos Silva, I., De Stavola, B. L., Mohsen, R., Leon, D. A., & Lithell, H. O. (2003).
Fetal Growth and Subsequent Risk of Breast Cancer: Results From Long Term Follow Up of Swedish
Cohort. BMJ, 326(7383), 248. https://doi.org/10.1136/bmj.326.7383.248
Miller, J. C., Fernando, E. Q., Miranda, J. P. P., Bansil, J. A., Hernandez, H. E., & Regala, A. R. (2024). Extended
Reality Technologies in Physical Fitness for Health Promotion: Insights from Bibliometric Research. In
Emerging Technologies for Health Literacy and Medical Practice. IGI Global.
https://doi.org/10.4018/979-8-3693-1214-8.ch005
Modabbernia, A., Velthorst, E., & Reichenberg, A. (2017). Environmental Risk Factors for Autism: An Evidence-
Based Review of Systematic Reviews and Meta-Analyses. Molecular Autism, 8, 1-16.
https://doi.org/10.1186/s13229-017-0121-4
Morgan, J. T., Chana, G., Pardo, C. A., Achim, C., Semendeferi, K., Buckwalter, J., Courchesne, E., & Everall, I.
P. (2010). Microglial Activation and Increased Microglial Density Observed in the Dorsolateral
Prefrontal Cortex in Autism. Biological Psychiatry, 68(4), 368-376.
https://doi.org/10.1016/j.biopsych.2010.05.024
Muhle, R., Trentacoste, S. V., & Rapin, I. (2004). The Genetics of Autism. Pediatrics, 113(5), e472-e486.
https://doi.org/10.1542/peds.113.5.e472
Nawa, H., & Takei, N. (2006). Recent Progress in Animal Modeling of Immune Inflammatory Processes in
Schizophrenia: Implication of Specific Cytokines. Journal of Neuroscience Research, 56(1), 2-13.
https://doi.org/10.1016/j.neures.2006.06.002
Oh, H., & Park, S. K. (2020). Gender and Stress-Buffering of Social Capital Toward Depression Among
Precarious Workers in South Korea. Work, 66(1), 53-62. https://doi.org/10.3233/WOR-203150
Osborne, S., Biaggi, A., Chua, T. E., Du Preez, A., Hazelgrove, K., Nikkheslat, N., Previti, G., Zunszain, P. A.,
Conroy, S., & Pariante, C. M. (2018). Antenatal Depression Programs Cortisol Stress Reactivity in
Offspring Through Increased Maternal Inflammation and Cortisol in Pregnancy: the Psychiatry Research
and Motherhood - Depression (PRAM-D) Study. Psychoneuroendocrinology, 98, 211-221.
https://doi.org/10.1016/j.psyneuen.2018.06.017
Ozmen, A., Unek, G., & Korgun, E. T. (2017). Effect of Glucocorticoids on Mechanisms of Placental
Angiogenesis. Placenta, 52, 41-48. https://doi.org/10.1016/j.placenta.2017.02.015
Pardo, C. A., Vargas, D. L., & Zimmerman, A. W. (2005). Immunity, Neuroglia and Neuroinflammation in
Autism. International Review of Psychiatry, 17(6), 485-495.
https://doi.org/10.1080/02646830500381930
Pramanik, S. (2024). An In-Depth Exploration of Nonwoven Materials in the Healthcare and Medical Sector. In
Emerging Technologies for Health Literacy and Medical Practice. IGI Global.
https://doi.org/10.4018/979-8-3693-1214-8.ch015
Raz, R., Roberts, A. L., Lyall, K., Hart, J. E., Just, A. C., Laden, F., & Weisskopf, M. G. (2015). Autism Spectrum
Disorder and Particulate Matter Air Pollution Before, During, and After Pregnancy: a Nested Case
control Analysis Within the Nurses’ Health Study II Cohort. Environmental health perspectives, 123(3),
264-270. https://doi.org/10.1289/ehp.1408133
Resta, R., Biesecker, B. B., Bennett, R. L., Blum, S., Estabrooks Hahn, S., Strecker, M. N., & Williams, J. L.
(2006). A New Definition of Genetic Counseling: National Society of Genetic Counselors’ Task Force
Report. Journal of Genetic Counseling
15, 77-83. https://doi.org/10.1007/s10897-005-9014-3
Richards, M., Hardy, R., Kuh, D., & Wadsworth, M. E. (2001). Birth Weight and Cognitive Function in the British
1946 Birth Cohort: Longitudinal Population Based Study. BMJ, 322(7280), 199-203.
https://doi.org/10.1136/bmj.322.7280.199
Ritvo, E. R., Jorde, L. B., Mason-Brothers, A., Freeman, B. J., Pingree, C., Jones, M. B., McMahon, W. M.,
Petersen, P. B., Jenson, W. R., & Mo, A. (1989). The UCLA-University of Utah Epidemiologic Survey
of Autism: Recurrence Risk Estimates and Genetic Counseling. The American journal of psychiatry,
146(8), 1032-1036. https://doi.org/10.1176/ajp.146.8.1032
Rodriguez, A., & Bohlin, G. (2005). Are Maternal Smoking and Stress During Pregnancy Related to ADHD
Symptoms in Children? Journal of Child Psychology and Psychiatry, 46(3), 246-254.
https://doi.org/10.1111/j.1469-7610.2004.00359.x
Rodriguez, N., Tun, H. M., Field, C. J., Mandhane, P. J., Scott, J. A., & Kozyrskyj, A. L. (2021). Prenatal
Depression, Breastfeeding, and Infant Gut Microbiota. Front Microbiol, 12, 664257.
https://doi.org/10.3389/fmicb.2021.664257
Ronald, A., Pennell, C. E., & Whitehouse, A. J. (2011). Prenatal Maternal Stress Associated With ADHD and
Autistic Traits in Early Childhood. Frontiers in Psychology, 1, 1-8.
https://doi.org/10.3389/fpsyg.2010.00223
Roseboom, T. J., van der Meulen, J. H., Osmond, C., Barker, D. J., Ravelli, A. C., Schroeder-Tanka, J. M., van
Montfrans, G. A., Michels, R. P., & Bleker, O. P. (2000). Coronary Heart Disease After Prenatal
Exposure to the Dutch Famine, 1944-45. Heart, 84(6), 595-598. https://doi.org/10.1136/heart.84.6.595
Roy, R., & Ashmika, R. (2024). Textile Products in Healthcare: Innovations, Applications, and Emerging Trends.
In Emerging Technologies for Health Literacy and Medical Practice. IGI Global.
https://doi.org/10.4018/979-8-3693-1214-8.ch014
Sandman, C. A., Davis, E. P., Buss, C., & Glynn, L. M. (2012). Exposure to Prenatal Psychobiological Stress
Exerts Programming Influences on the Mother and Her Fetus. Neuroendocrinology, 95(1), 7-21.
https://doi.org/10.1159/000327017
Sasayama, D., Kuge, R., Toibana, Y., & Honda, H. (2021). Trends in Autism Spectrum Disorder Diagnoses in
Japan, 2009 to 2019. JAMA Netw Open, 4(5), e219234.
https://doi.org/10.1001/jamanetworkopen.2021.9234
Shiloh, S., Avdor, O., & Goodman, R. M. (1990). Satisfaction With Genetic Counseling: Dimensions and
Measurement. American Journal of Medical Genetics, 37(4), 522-529.
https://doi.org/https://doi.org/10.1002/ajmg.1320370419
Silva, C. A. d., Almeida, R. P. P. d., Carvalheira, F., Abrantes, A. F., Miranda, D., Vicente, B., Ramos, M., &
Mestre, T. (2024). Digital Health in the Context of Healthcare Workers’ Education and Training: The
Other Side of Health Curricula in Portugal. In Emerging Technologies for Health Literacy and Medical
Practice. IGI Global. https://doi.org/10.4018/979-8-3693-1214-8.ch004
Soares-Cunha, C., Coimbra, B., Borges, S., Domingues, A. V., Silva, D., Sousa, N., & Rodrigues, A. J. (2018).
Mild Prenatal Stress Causes Emotional and Brain Structural Modifications in Rats of Both Sexes. Front
Behav Neurosci, 12, 129. https://doi.org/10.3389/fnbeh.2018.00129
Suriyan, K., & Nagarajan, R. (2024). Particle Swarm Optimization in Biomedical Technologies: Innovations,
Challenges, and Opportunities. In Emerging Technologies for Health Literacy and Medical Practice. IGI
Global. https://doi.org/10.4018/979-8-3693-1214-8.ch011
Tang, X., Lu, Z., Hu, D., & Zhong, X. (2019). Influencing Factors for Prenatal Stress, Anxiety and Depression in
Early Pregnancy Among Women in Chongqing, China. Journal of Affective Disorders, 253, 292-302.
https://doi.org/10.1016/j.jad.2019.05.003
Tariq, M. U. (2024). Revolutionizing Health Data Management with Blockchain Technology: Enhancing Security
and Efficiency in a Digital Era. In Emerging Technologies for Health Literacy and Medical Practice.
IGI Global. https://doi.org/10.4018/979-8-3693-1214-8.ch008
Thapliyal, K., Thapliyal, M., & Thapliyal, D. (2024). Social Media and Health Communication: A Review of
Advantages, Challenges, and Best Practices. In Emerging Technologies for Health Literacy and Medical
Practice. IGI Global. https://doi.org/10.4018/979-8-3693-1214-8.ch017
Town, T., Nikolic, V., & Tan, J. (2005). The Microglial "Activation" Continuum: From Innate to Adaptive
Responses. Journal of Neuroinflammation, 2, 24. https://doi.org/10.1186/1742-2094-2-24
Uludag, K. (2022). Coronary Blindness: Desensitization After Excessive Exposure to Coronavirus-Related
Information. Health Policy and Technology, 11(3), 1-2. https://doi.org/10.1016/j.hlpt.2022.100625
Uludag, K., Wang, D. M., Mohamoud, Y., Wu, H. E., & Zhang, X. (2023). Antipsychotic -Based Machine
Learning Models May Help Prediction of Tardive Dyskinesia in Patients With Schizophrenia. Schizophr
Res, 252, 33-35. https://doi.org/10.1016/j.schres.2022.12.026
Vargas, D. L., Nascimbene, C., Krishnan, C., Zimmerman, A. W., & Pardo, C. A. (2005). Neuroglial Activation
and Neuroinflammation in the Brain of Patients With Autism. Annals of Neurology, 57(1), 67-81.
https://doi.org/10.1002/ana.20315
Volk, H. E., Kerin, T., Lurmann, F., Hertz-Picciotto, I., McConnell, R., & Campbell, D. B. (2014). Autism
Spectrum Disorder: Interaction of Air Pollution With the MET Receptor Tyrosine Kinase Gene.
Epidemiology, 25(1), 44-47. https://doi.org/10.1097/EDE.0000000000000030
Wang, C., Geng, H., Liu, W., & Zhang, G. (2017). Prenatal, Perinatal, and Postnatal Factors Associated With
Autism: A Meta-Analysis. Medicine, 96(18), 1-7. https://doi.org/10.1097/MD.0000000000006696
Wang, C., Gonzalez, R., & Merajver, S. D. (2004). Assessment of Genetic Testing and Related Counseling
Services: Current Research and Future Directions. Social Science & Medicine, 58(7), 1427-1442.
https://doi.org/https://doi.org/10.1016/S0277-9536(03)00337-X
Wang, Y., Chen, L., Wu, T., Shi, H., Li, Q., Jiang, H., Zheng, D., Wang, X., Wei, Y., Zhao, Y., & Qiao, J. (2020).
Impact of COVID-19 in Pregnancy on Mother's Psychological Status and Infant's Neurobehavioral
Development: A Longitudinal Cohort Study in China. BMC Medicine, 18(1), 1-10.
https://doi.org/10.1186/s12916-020-01825-1
Ward, H. E., Johnson, E. A., Salm, A. K., & Birkle, D. L. (2000). Effects of Prenatal Stress on Defensive
Withdrawal Behavior and Corticotropin Releasing Factor Systems in Rat Brain. Physiology & Behavior,
70(3-4), 359-366. https://doi.org/10.1016/s0031-9384(00)00270-5
Weinstock, M. (1997). Does Prenatal Stress Impair Coping and Regulation of Hypothalamic-Pituitary-Adrenal
Axis? Neuroscience & Biobehavioral Reviews, 21(1), 1-10. https://doi.org/10.1016/s0149-
7634(96)00014-0
Wu, Y., Zhang, C., Liu, H., Duan, C., Li, C., Fan, J., Li, H., Chen, L., Xu, H., Li, X., Guo, Y., Wang, Y., Li, X.,
Li, J., Zhang, T., You, Y., Li, H., Yang, S., Tao, X., Xu, Y., Lao, H., Wen, M., Zhou, Y., Wang, J., Chen,
Y., Meng, D., Zhai, J., Ye, Y., Zhong, Q., Yang, X., Zhang, D., Zhang, J., Wu, X., Chen, W., Dennis, C.
L., & Huang, H. F. (2020). Perinatal Depressive and Anxiety Symptoms of Pregnant Women During the
Coronavirus Disease 2019 Outbreak in China. American Journal of Obstetrics and Gynecology, 223(2),
1-9. https://doi.org/10.1016/j.ajog.2020.05.009
Yamada, K., Kimura, T., Cui, M., Kubota, Y., Ikehara, S., Iso, H., Japan, E., & Children's Study, G. (2021). Social
Support, Social Cohesion and Pain During Pregnancy: The Japan Environment and Children's Study.
European Journal of Pain, 25(4), 872-885. https://doi.org/10.1002/ejp.1717
Zerbo, O., Qian, Y., Yoshida, C., Grether, J. K., Van de Water, J., & Croen, L. A. (2015). Maternal Infection
During Pregnancy and Autism Spectrum Disorders. Journal of Autism and Developmental Disorders,
45(12), 4015-4025. https://doi.org/10.1007/s10803-013-2016-3
Zhang, S., Zhou, Y., Ge, L. K., Zeng, L., Liu, Z., Qian, W., Yang, J., Zhou, X., Wei, G. X., & Zhang, X. (2021).
Interaction of Insomnia and Somatization with Post-Traumatic Stress Disorder in Pregnant Women
During the COVID-19 Pandemic. Neuropsychiatric Disease and Treatment, 17, 2539-2547.
https://doi.org/10.2147/NDT.S310300
Zhou, H., Xu, X., Yan, W., Zou, X., Wu, L., Luo, X., Li, T., Huang, Y., Guan, H., Chen, X., Mao, M., Xia, K.,
Zhang, L., Li, E., Ge, X., Zhang, L., Li, C., Zhang, X., Zhou, Y., Ding, D., Shih, A., Fombonne, E.,
Zheng, Y., Han, J., Sun, Z., Jiang, Y. H., Wang, Y., & Team, L.-N. S. (2020). Prevalence of Autism
Spectrum Disorder in China: A Nationwide Multi-center Population-based Study Among Children Aged
6 to 12 Years. Neuroscience Bulletin, 36(9), 961-971. https://doi.org/10.1007/s12264-020-00530-6
... To determine the sample of studies selected for this integrative review, some inclusion criteria were listed: an article published in the last ten years, original articles whose language was in English with access to the full text, in which the theme corresponded to the object of study in question. Studies with publication years lower than 2011, incomplete publications, and studies that do not conform to the object and theme of this research were excluded (Bi & Uludag, 2024;Wang et al., 2024). The databases titled Latin American Literature in Health Sciences (LILACS), Medical Literature Analysis and Retrieval System Online (Medline), and Electronic Journals of Psychology (PePSIC) were accessed via their electronic websites to conduct article searches (NEHIR, UCLER, & GEYIK, 2024; Spencer et al., 2024). ...
Article
Full-text available
Introduction: Neurological diseases resulting from nervous system injuries can profoundly impact nutritional status and compromise physical and cognitive capabilities necessary for adequate dietary intake. This study focuses on exploring primary nutritional therapies for neurological illnesses. Methods: An integrative literature review was conducted utilizing databases including PePSIC, Medline, and LILACS. A comprehensive search strategy encompassed cross-referencing descriptors such as neuropathies, nutritional therapy, efficacy, and side effects in both Pakistan and China. The search period spanned from January to July 2023. Following the application of inclusion criteria, 175 relevant items were identified. Results: While traditional medical interventions for neurological conditions primarily involve pharmacotherapy, food therapy has shown promise in enhancing clinical outcomes and alleviating symptoms in certain diseases. Nutritional interventions have been particularly effective in improving the prognosis of adrenoleukodystrophy and ameliorating symptoms of Wernicke-Korsakoff syndrome and epilepsy. As such, patients afflicted with these conditions stand to benefit significantly from tailored dietary interventions. Conclusion: Nutritional therapy presents a valuable adjunctive approach in managing neurological diseases, offering opportunities to enhance patient outcomes and alleviate symptoms where traditional medical interventions may fall short. Incorporating dietary interventions into comprehensive treatment plans for neurological disorders is imperative for optimizing patient care and recovery. KEYWORDS: Neurological Diseases; Nutritional Therapy; Side Effects.
Article
Full-text available
Background: Neurological diseases resulting from nervous system injuries can significantly impact nutritional status and the physical and cognitive capacities necessary for maintaining a sufficient diet. This study focuses on primary nutritional therapies for neurological illnesses. Methods: An integrative literature review was conducted using three databases: PePSIC, Medline, and LILACS. A comprehensive search strategy was employed, incorporating descriptors such as neuropathies, nutritional therapy, efficacy, and side effects. Results: After applying inclusion criteria, 175 relevant items were identified. While traditional medical interventions for neurological conditions typically involve medication, food therapy has shown promise in enhancing clinical outcomes and alleviating symptoms for certain diseases. Specifically, food therapy has been effective in improving the prognosis of adrenoleukodystrophy and mitigating symptoms of Wernicke-Korsakoff syndrome and epilepsy. Conclusion: Patients with neurological illnesses, such as adrenoleukodystrophy, Wernicke-Korsakoff syndrome, and epilepsy, may benefit from dietary interventions to improve prognosis and alleviate symptoms. Therefore, healthcare professionals should consider incorporating food therapy into the treatment plans for these conditions to optimize patient outcomes. Keywords: Neurological Diseases; Nutritional Therapy; Side Effects.
Chapter
The field of surgical robotics has been rapidly advancing, with a focus on improving minimally invasive surgery techniques. Minimally invasive surgery (MIS) is characterized by smaller incisions, reduced trauma to the patient, quicker recovery times, and less post-operative pain compared to traditional open surgery. Surgical robots have played a significant role in enhancing the capabilities of surgeons and expanding the potential for MIS. The next era of smart flexible surgical robots for MIS could encompass several exciting developments. Future surgical robots are likely to be more flexible and adaptable, allowing them to navigate complex anatomical structures with greater ease. In this chapter, the authors will present the current state-of-the-art surgical robotic applications for MIS, focusing on the limitations and challenges still open for their use in clinical applications. This chapter is significant as it not only offers insights into current technological advancements but also lays the groundwork for understanding future innovations that could revolutionize patient care in surgery.
Chapter
This chapter explores particle swarm optimization (PSO) in the rapidly evolving landscape of biomedical technologies. The study begins by introducing the fundamental principles of PSO, emphasizing its advantages in addressing complex optimization problems common in biomedical applications. The authors delve into innovative uses of PSO in various biomedical fields, including image enhancement, data clustering, and drug development, highlighting how PSO contributes to more accurate diagnoses, efficient treatment plans, and streamlined research methodologies. Significantly, this chapter identifies emerging opportunities where PSO can be further leveraged, particularly in personalized medicine and predictive health analytics, suggesting a roadmap for future research and development. By combining theoretical insights with practical examples, this work aims to provide a comprehensive overview of PSO's role in advancing biomedical technologies, offering valuable perspectives for researchers, practitioners, and policymakers in the field.
Chapter
The extensive impact of social media on modern society has transformed the landscape of health communication, by introducing novel techniques, strategies, and best practices. This chapter investigates the connection between social media and health communication, researching successful techniques that promote public health and well-being globally. Such an exploration is significant as it investigates the intricate relationship between social media and health communication, exploring successful techniques that promote public health and well-being globally. With enormous users worldwide, digital platforms like Facebook, Instagram, and Twitter serve as powerful tools for circulating health information and encouraging community engagement. Social media health communication requires adapting and reshaping content to various audiences, incorporating multimedia formats for convenience, and leveraging influencers to enhance messages. The ability to reach large and diverse demographics in real time enhances the dissemination of preventive measures, health education, and crisis communication.
Chapter
This chapter provides an overview of nonwoven materials in the healthcare industry, discussing their various uses, characteristics, advantages, challenges, recent developments, and potential future prospects. The essential nature of nonwovens lies in their barrier efficiency, breathability, and comfort, making them indispensable for surgical gowns, face masks, sterile packaging, wound dressings, and hygiene products. The chapter emphasizes the cost-effectiveness, disposability, and infection control offered by nonwoven materials, while also discussing their environmental impact and compliance with regulations. The dynamic advancement of these materials is demonstrated through the integration of nanotechnology and the development of smart nonwovens. Looking ahead, the availability of biodegradable alternatives and customized healthcare solutions is expected, driven by sustainability, technology, and emerging trends. The implications for the healthcare sector include enhanced patient safety, improved operational efficiency, and increased sustainability.
Chapter
The future of healthcare is a dynamic landscape characterized by rapid advancements, evolving patient needs, and transformative technologies. This chapter explores key trends and predictions shaping the industry. It covers the integration of AI, telemedicine, genomics, and patient empowerment. These shifts promise a healthcare ecosystem that is more efficient, accessible, and personalized than ever before. However, they also present challenges, including data privacy, ethical considerations, and equitable access. Navigating this evolving healthcare landscape will require a thoughtful balance of innovation and ethical practice, ensuring that the future of healthcare benefits all segments of society. The chapter aims to equip stakeholders with insights and strategies to navigate this complex landscape, advocating for a healthcare future that prioritizes patient-centricity while embracing technological progress in a way that is inclusive and beneficial for all.
Chapter
In the era of technological transformation, the healthcare system is undergoing significant changes with the integration of digital health. The World Health Organization advocates for ethical and equitable incorporation of digital health into health priorities. Maternal health literacy intersects with digital transformation, emphasizing the need for health literacy responsiveness. This chapter explores the applications of digital health technologies on maternal health literacy. A narrative review identified technologies used for maternal health literacy, such as mobile apps, wearable devices, online platforms, and telehealth. Their impact on maternal health literacy, the potential benefits, challenges, and sociodemographic considerations linked with these technologies were assessed. The findings highlight the role of digital health in maternal health literacy and the importance of inclusive and culturally sensitive approaches. Recognizing the opportunities and limitations of digital health is vital for promoting maternal well-being and reducing health disparities during pregnancy.
Chapter
Full-text available
The evolution of technologies in the healthcare sector has revolutionized the health landscape, from the expansion of telemedicine to the vital role of social networks. The authors delve into how technology redefines healthcare, promoting efficient communication and empowering both patients and healthcare professionals. They offer a comprehensive and captivating insight into the interaction between health and the digital era. They analyze the challenges faced by the healthcare sector and the opportunities presented by the digital age. Through a systematic review of the literature in recent years, the authors obtain results that clarify the current landscape of the healthcare sector and how both professionals and patients make use of these tools that technologies provide. These findings offer vital insights into how technology is reshaping the healthcare landscape, presenting both challenges and opportunities that can guide future innovations and policymaking in this rapidly evolving sector.
Chapter
Healthcare textiles have seen a considerable transition throughout time, becoming an increasingly important part of the healthcare ecosystem. A thorough introduction to healthcare textiles is provided in this chapter, along with an analysis of their use in patient care, infection control, and the larger healthcare sector. It explores the numerous kinds of healthcare textiles, how crucial they are to maintaining hygiene, and the difficulties in using them. It also looks at cutting-edge advancements that have the potential to change the way healthcare textiles are used in the future, such as smart textiles and sustainable practices. Healthcare textiles are positioned to become increasingly important to patient safety and environmental sustainability as the healthcare industry develops. This chapter is significant as it provides an in-depth exploration of the evolving role of healthcare textiles in patient safety and sustainability, highlighting cutting-edge developments and future trends in the industry.
Chapter
Full-text available
The evolution of technologies in the healthcare sector has revolutionized the health landscape, from the expansion of telemedicine to the vital role of social networks. The authors delve into how technology redefines healthcare, promoting efficient communication and empowering both patients and healthcare professionals. They offer a comprehensive and captivating insight into the interaction between health and the digital era. They analyze the challenges faced by the healthcare sector and the opportunities presented by the digital age. Through a systematic review of the literature in recent years, the authors obtain results that clarify the current landscape of the healthcare sector and how both professionals and patients make use of these tools that technologies provide. These findings offer vital insights into how technology is reshaping the healthcare landscape, presenting both challenges and opportunities that can guide future innovations and policymaking in this rapidly evolving sector.
Chapter
The field of surgical robotics has been rapidly advancing, with a focus on improving minimally invasive surgery techniques. Minimally invasive surgery (MIS) is characterized by smaller incisions, reduced trauma to the patient, quicker recovery times, and less post-operative pain compared to traditional open surgery. Surgical robots have played a significant role in enhancing the capabilities of surgeons and expanding the potential for MIS. The next era of smart flexible surgical robots for MIS could encompass several exciting developments. Future surgical robots are likely to be more flexible and adaptable, allowing them to navigate complex anatomical structures with greater ease. In this chapter, the authors will present the current state-of-the-art surgical robotic applications for MIS, focusing on the limitations and challenges still open for their use in clinical applications. This chapter is significant as it not only offers insights into current technological advancements but also lays the groundwork for understanding future innovations that could revolutionize patient care in surgery.
Chapter
Among the various manufacturing processes currently in use by the industry, 3D printing stands out as a unique additive technique. It enables the creation of three-dimensional solid objects of virtually any shape from a digital model. Initially considered an ambitious concept, medical 3D printing has become a reality thanks to substantial time and investment. This chapter delves into the recent advancements in 3D printing within the modern medical field, offering a concise overview of how and why 3D printing is transforming medical practices, education, and research. It serves as an introduction to the subject, followed by a demonstration of the state-of-the-art through recent industry developments. The significance of this chapter lies in its comprehensive coverage of the evolving role of 3D printing in healthcare, highlighting not only the current applications and challenges but also underscoring its potential to revolutionize various aspects of medical science and patient care.
Chapter
This chapter explores particle swarm optimization (PSO) in the rapidly evolving landscape of biomedical technologies. The study begins by introducing the fundamental principles of PSO, emphasizing its advantages in addressing complex optimization problems common in biomedical applications. The authors delve into innovative uses of PSO in various biomedical fields, including image enhancement, data clustering, and drug development, highlighting how PSO contributes to more accurate diagnoses, efficient treatment plans, and streamlined research methodologies. Significantly, this chapter identifies emerging opportunities where PSO can be further leveraged, particularly in personalized medicine and predictive health analytics, suggesting a roadmap for future research and development. By combining theoretical insights with practical examples, this work aims to provide a comprehensive overview of PSO's role in advancing biomedical technologies, offering valuable perspectives for researchers, practitioners, and policymakers in the field.
Chapter
The extensive impact of social media on modern society has transformed the landscape of health communication, by introducing novel techniques, strategies, and best practices. This chapter investigates the connection between social media and health communication, researching successful techniques that promote public health and well-being globally. Such an exploration is significant as it investigates the intricate relationship between social media and health communication, exploring successful techniques that promote public health and well-being globally. With enormous users worldwide, digital platforms like Facebook, Instagram, and Twitter serve as powerful tools for circulating health information and encouraging community engagement. Social media health communication requires adapting and reshaping content to various audiences, incorporating multimedia formats for convenience, and leveraging influencers to enhance messages. The ability to reach large and diverse demographics in real time enhances the dissemination of preventive measures, health education, and crisis communication.
Chapter
This chapter provides an overview of nonwoven materials in the healthcare industry, discussing their various uses, characteristics, advantages, challenges, recent developments, and potential future prospects. The essential nature of nonwovens lies in their barrier efficiency, breathability, and comfort, making them indispensable for surgical gowns, face masks, sterile packaging, wound dressings, and hygiene products. The chapter emphasizes the cost-effectiveness, disposability, and infection control offered by nonwoven materials, while also discussing their environmental impact and compliance with regulations. The dynamic advancement of these materials is demonstrated through the integration of nanotechnology and the development of smart nonwovens. Looking ahead, the availability of biodegradable alternatives and customized healthcare solutions is expected, driven by sustainability, technology, and emerging trends. The implications for the healthcare sector include enhanced patient safety, improved operational efficiency, and increased sustainability.
Chapter
The future of healthcare is a dynamic landscape characterized by rapid advancements, evolving patient needs, and transformative technologies. This chapter explores key trends and predictions shaping the industry. It covers the integration of AI, telemedicine, genomics, and patient empowerment. These shifts promise a healthcare ecosystem that is more efficient, accessible, and personalized than ever before. However, they also present challenges, including data privacy, ethical considerations, and equitable access. Navigating this evolving healthcare landscape will require a thoughtful balance of innovation and ethical practice, ensuring that the future of healthcare benefits all segments of society. The chapter aims to equip stakeholders with insights and strategies to navigate this complex landscape, advocating for a healthcare future that prioritizes patient-centricity while embracing technological progress in a way that is inclusive and beneficial for all.
Chapter
In the era of technological transformation, the healthcare system is undergoing significant changes with the integration of digital health. The World Health Organization advocates for ethical and equitable incorporation of digital health into health priorities. Maternal health literacy intersects with digital transformation, emphasizing the need for health literacy responsiveness. This chapter explores the applications of digital health technologies on maternal health literacy. A narrative review identified technologies used for maternal health literacy, such as mobile apps, wearable devices, online platforms, and telehealth. Their impact on maternal health literacy, the potential benefits, challenges, and sociodemographic considerations linked with these technologies were assessed. The findings highlight the role of digital health in maternal health literacy and the importance of inclusive and culturally sensitive approaches. Recognizing the opportunities and limitations of digital health is vital for promoting maternal well-being and reducing health disparities during pregnancy.
Chapter
Healthcare textiles have seen a considerable transition throughout time, becoming an increasingly important part of the healthcare ecosystem. A thorough introduction to healthcare textiles is provided in this chapter, along with an analysis of their use in patient care, infection control, and the larger healthcare sector. It explores the numerous kinds of healthcare textiles, how crucial they are to maintaining hygiene, and the difficulties in using them. It also looks at cutting-edge advancements that have the potential to change the way healthcare textiles are used in the future, such as smart textiles and sustainable practices. Healthcare textiles are positioned to become increasingly important to patient safety and environmental sustainability as the healthcare industry develops. This chapter is significant as it provides an in-depth exploration of the evolving role of healthcare textiles in patient safety and sustainability, highlighting cutting-edge developments and future trends in the industry.
Chapter
The organ-on-a-chip (OOAC) technology stands at the forefront of emergent technologies, representing a biomimetic configuration of functional organs on a microfluidic chip. This technology synergizes biomedical engineering, cell biology, and biomaterial technology to mimic the microenvironment of specific organs. It effectively replicates the biomechanical and biological soft tissue interfaces, enabling the simulation of organ functionality and responses to various stimuli, including drug reactions and environmental effects. OOAC has vast implications for precision medicine and biological defense strategies. In this chapter, the authors delve into the principles of OOAC, exploring its role in creating physiological models and discussing its advantages, current challenges, and prospects. This examination is significant as it highlights the transformative potential of OOAC technologies in the 21st century and contributes to a deeper understanding of OOAC's applications in advancing medical research.