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Measuring resilience in children: a review of recent literature and recommendations for future research

Authors:
  • Lady Davis Institute - Jewish General Hospital

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Purpose of review: Understanding variability in developmental outcomes following exposure to early life adversity (ELA) has been an area of increasing interest in psychiatry, as resilient outcomes are just as prevalent as negative ones. However, resilient individuals are understudied in most cohorts and even when studied, resilience is typically defined as an absence of psychopathology. This review examines current approaches to resilience and proposes more comprehensive and objective ways of defining resilience. Recent findings: Of the 36 studies reviewed, the most commonly used measure was the Strengths and Difficulties Questionnaire (n = 6), followed by the Child Behavior Checklist (n = 5), the Resilience Scale for Chinese Adolescents (n = 5), the Rosenberg Self-Esteem Scale (n = 4), and the Child and Youth Resilience Scale (n = 3). Summary: This review reveals that studies tend to rely on self-report methods to capture resilience which poses some challenges. We propose a complementary measure of child resilience that relies on more proactive behavioral and observational indicators; some of our preliminary findings are presented. Additionally, concerns about the way ELA is characterized as well as the influence of genetics on resilient outcomes prompts further considerations about how to proceed with resiliency research.
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C
URRENT
O
PINION
Measuring resilience in children: a review of recent
literature and recommendations for future research
Leonora King
a
, Alexia Jolicoeur-Martineau
b
, David P. Laplante
c
,
Eszter Szekely
a
, Robert Levitan
d
, and Ashley Wazana
a
Purpose of review
Understanding variability in developmental outcomes following exposure to early life adversity (ELA) has
been an area of increasing interest in psychiatry, as resilient outcomes are just as prevalent as negative
ones. However, resilient individuals are understudied in most cohorts and even when studied, resilience is
typically defined as an absence of psychopathology. This review examines current approaches to resilience
and proposes more comprehensive and objective ways of defining resilience.
Recent findings
Of the 36 studies reviewed, the most commonly used measure was the Strengths and Difficulties
Questionnaire (n¼6), followed by the Child Behavior Checklist (n¼5), the Resilience Scale for Chinese
Adolescents (n¼5), the Rosenberg Self-Esteem Scale (n¼4), and the Child and Youth Resilience Scale
(n¼3).
Summary
This review reveals that studies tend to rely on self-report methods to capture resilience which poses some
challenges. We propose a complementary measure of child resilience that relies on more proactive
behavioral and observational indicators; some of our preliminary findings are presented. Additionally,
concerns about the way ELA is characterized as well as the influence of genetics on resilient outcomes
prompts further considerations about how to proceed with resiliency research.
Keywords
challenging puzzle task, children, early life adversity, resilience, gene-by-environment interactions
INTRODUCTION
Development is marked by periods of heightened
neural plasticity in which brain regions involved in
the regulation of emotion and stress are particularly
sensitive to the effects of early life adversity (ELA).
Although ELA can have long-term negative impacts
on the developing child, sometimes resulting in
psychiatric and behavioral problems [1 4], many
children remain unaffected [5,6]. In fact, as many as
50% of individuals who are exposed to stressful
events do not go on to develop a stress-related
psychiatric illness in later life [6,7]. This suggests
that there are important variations in how people
respond to stress and traumatic events, with some
individuals prone to maladaptive outcomes and
others who function well. As a result, the focus of
recent research has been to better understand the
factors that contribute to positive outcomes in addi-
tion to negative ones.
Positive adaptation or better-than-expected out-
comes in the context of ELA is known as resilience
[8,9]. Although there are varying definitions of resil-
ience, it is best understood as a dynamic process that
integrates many systems within an individual as
well as in the environment of the individual, leading
to positive adaptation in the face of adversity. More
specifically, resilience is not a static state or trait-like
attribute [10], rather it is a biopsychosocial process
that involves several interacting factors including
a
Jewish General Hospital, Lady Davis Institute for Medical Research
and McGill University,
b
Mila, Jewish General Hospital, University of
Montreal,
c
Jewish General Hospital, Lady Davis Institute for Medical
Research, Montreal and
d
Family Mental Health Research Institute,
Centre for Addiction and Mental Health, University of Toronto, Toronto,
Canada
Correspondence to Ashley Wazana, MD, Child Center for Development
and Mental Health, Jewish General Hospital, 4335 Chemin Cote Sainte-
Catherine West, Montre´al, QC, Canada H3T 1E4.
Tel: +1 514 340 8222x27652; e-mail: ashley.wazana@mcgill.ca
Curr Opin Psychiatry 2021, 34:10– 21
DOI:10.1097/YCO.0000000000000663
www.co-psychiatry.com Volume 34 Number 1 January 2021
REVIEW
Copyright © 2020 Wolters Kluwer Health, Inc. All rights reserved.
neurobiological mechanisms, stress and emotional
regulation systems, prosocial skills, coping strategies
and temperament [11–14].
MEASURING RESILIENCE IN CHILDREN
How resilience is characterized and detected may
vary depending on the developmental period as
responses to challenges are typically content and
context-specific [15]. It has been suggested that
detecting resilient functioning in young children
may be more reliable given that their vulnerability
confers increased sensitivity to the environment
making them more responsive to the task at hand
[16]. Still, the methods by which resilience is cap-
tured and measured (whether in children or adults)
poses some challenges particularly because resil-
ience has often been characterized as an absence
of psychopathology or dysfunction although the
two are not synonymous. Rather, resiliency research
is more robust when it captures some of the more
proactive cognitive, emotional, and behavioral pro-
cesses associated with resilient functioning.
The current review aims to highlight recent
trends in resiliency research by reviewing studies
of child resilience published in the last 18 months.
Using PubMed, a biomedical literature database, the
following search parameters were entered: ((((resil-
ience[Title] OR resilient[Title] OR resiliency[Title]
OR ‘positive outcomes’[Title] AND ((’2019/04/
15’[Date - Publication]: ‘2020’[Date - Publication])))
AND (child[Title] OR children[Title]) AND (english[-
Filter])) NOT (review[Title/Abstract]). A total of 99
articles were returned. After scanning titles and
abstracts for relevance, 34 studies were excluded
for the following reasons: they were measuring resil-
ience in parents, caregivers or mothers who had
children with some disability, disorder or medical
condition (n¼34), whereas the remaining studies
were excluded (n¼29) because they were deemed
irrelevant for other reasons (e.g., were editorials,
consisted of retrospective reports of ELA or the name
of the cohort had the term resilience in it). The final
selection consisted of 36 articles for which the age
range was birth to 19 years old.
The majority of the studies identified in the
review used quantitative approaches, whereas four
studies used qualitative methods [17 20] and three
studies incorporated a mixed-methods research
design [21–23]. Twenty-four of the 36 studies
reviewed were cross-sectional, seven were longitu-
dinal and the remaining five were intervention-
based. Although measures of psychopathology were
featured in the reviewed studies, unless they were
used to construct a measure of resilience, they are
not reported here as it was not the purpose of the
review. Otherwise, resilience was featured as the
outcome measure in 27 studies, whereas another
seven studies examined resilience as a mediating
factor (n¼4) [24,25
&
,26,27] or as a predictor variable
(n¼3) [21,28,29] and two studies assessed the psy-
chometric properties of resilient measures [30,31].
In terms of sample size, the range of participants for
the qualitative studies was from nine to 137,
whereas for quantitative studies, the range was from
24 to 51 156 participants. The majority of measures
were based on child or youth self-reports (n¼26),
whereas nine of the 36 studies were based on parent-
reports and one on teacher reports (Table 1).
The most common instrument used to measure
resilience in children was the Strengths and Diffi-
culties Questionnaire (SDQ) which was used in six of
36 studies. The SDQ captures both positive and
negative outcomes in children and can be adminis-
tered to children, parents, or teachers. The 25-item
SDQ (and an optional incapacity section) measures
current attention/hyperactivity problems, conduct
problems, emotional problems, peer relationships,
and prosocial behaviors [32]. In the current review,
three of the six studies administered the parent-
reported version of the SDQ [22,33,34], whereas
the child-reported version was used twice [35,36]
and the teacher-reported version once [37]. Of these,
three studies included SDQ total scores in their
analyses [22,35,37], two studies used both total
scores and the prosocial skills subscale [33,34] and
one study used only the peer relations subscale of
the SDQ [36].
The other two most common measures of child
resilience were the Resilience Scale for Chinese Ado-
lescents (RSCA) and the Child Behavior Checklist
(CBCL), each of which were administered in 5 stud-
ies. The RSCA is a 27-item survey with a 5-point
KEY POINTS
Measures of resilience in children are moving away
from defining resilience as an absence
of psychopathology.
The majority of child resiliency measures tend to be
based on self-reports and to a lesser extent,
parent reports.
A more objective and comprehensive measure of child
resilience that combines self-ratings and interrater
codings of video observations in response to a
challenging task is proposed.
Considerations about the ways in which ELA is
characterized as well as the influence of genetics on
resilient outcomes are discussed.
Measuring resilience in children King et al.
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Copyright © 2020 Wolters Kluwer Health, Inc. All rights reserved.
Table 1. Review of studies and measures used
Study
Age range
(in years)
Informant Sample
size
Study
design
Resilience
variable
Rosenberg
self-esteem CYRM CBCL Qualitative Other measure(s)
Asante et al., 2019 Mean age¼14 Child 16 Cross-sectional Outcome x Qualitative semistructured interviews
Beeckman et al., 2019 8– 18 Child 59 Cross-sectional Mediator AFQ-Y þCPAQ-A
Bethell et al., 2019 6– 17 Parent 51,156 Cross-sectional Outcome Child Flourishing Index, Family Resilience &
Connection Index and Social Engagement Index
(constructed using items from the NSCH)
Cheetham-Blake
et al., 2019
7– 11 Child 34 Cross-sectional Predictor x The Kidcope questionnaireþat-home parent –child
dyadic interviews
Cohen et al., 2019 10– 11 Child 167 Cross-sectional Predictor x My Life Today scale þ10-item emotional regulation
scale þThe BSI
Conover et al., 2020 6– 10 Parent 36 Intervention Outcome x x Context of ‘Tell Me a Story’ intervention; Ego-
Resiliency Q-Sort (ER-11); total CBCL as well as
internalizing and externalizing subscales used
Cui et al., 2020 14– 18 Child 1354 Longitudinal Outcome x x Future Events Questionnaire; child maltreatment was
measured every two years from birth onwards
Ellersgaard et al., 2020 7 Child 522 Cross-sectional Outcome KIDSCREEN-27 (Quality of life measures) & Self-
esteem scale ‘I think I am’
Elmore et al., 2020 8– 17 Parent 40 302 Cross-sectional Mediator Using the ‘HOPE: Health Outcomes from Positive
Experiences’ framework, the following factors were
constructed: emotional competency, constructive
social engagement, safe and stable environment,
trusting relationships with adults
Study
Age range
(in years) Informant
Sample
size
Study
design
Resilience
variable SDQ
Rosenberg
self-esteem CYRM CD-RISC Qualitative Other measure(s)
Fogarty
et al., 2019
10 Parent 9 Longitudinal Outcome x x Semistructured interviews about: experiences of abuse
within relationships, making decisions around
staying or leaving relationships, parenting, how
they and their children coped, and help seeking
Folayan
et al., 2020
6– 16 Child 1001 Cross-sectional Psycho-metrics x x Perceived Social Support scale
Hebbani
et al., 2020
Mean age
¼19.7
Child 331 Cross-sectional Outcome x Socio-cultural factors Questionnaire (culturally
mediated factors linked to resilience) þSGSS þthe
Ryff and Keyes Scales of Psychological Well Being
Herbell et al.,
2020
6– 17 Child 1900 Cross-sectional Outcome Child Flourishment Index þFamily Resilience and
Connection Index; parental coping and parental
emotional support were also measured (constructed
using items from the NSCH)
Jefferies et al.,
2019
9– 12 Child 227 Cross-sectional Outcome x x Other measures of physical activity and competence
including PLAYfun, PLAYself, PLAYinventory,
PLAYparent and PLAYpe_teacher; also the peer
relations subscale of the SDQ was used
Kaiser et al., 2020 13– 14 Child 12 Cross-sectional Outcome x Phenomenological qualitative approach using in-depth
interviews
Mood and anxiety disorders
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Table 1 (Continued )
Study
Age range
(in years) Informant
Sample
size
Study
design
Resilience
variable SDQ
Rosenberg
self-esteem CYRM CD-RISC Qualitative Other measure(s)
Kirby et al., 2020 4 –5 Teacher 636 Longitudinal Outcome x GHQ-28, Kessler-6, Infant Characteristics
Questionnaire, FRS adult deprivation questions,
EYFSP, maternal self-efficacy; these measures were
administered either at 6, 18, 12, or 24 months in
parents
Study Age range
(in years) Informant
Sample
size
Study
design
Resilience
variable
SDQ
RSCA CYRM CBCL Qualitative Other measure(s)
Liu et al., 2020 12–14 Child 646 Cross-sectional Outcome x Also measured parent-child relations
Llistosella et al., 2019 12– 19 Child 270 þ15 þ432 Cross-sectional Psychometrics x Study I ¼CRYM-28; Study II ¼semi-structured
interviews with 6 youth aged 17 to 19, 4
participants from Study I and 5 resilient experts;
Study III ¼validation of the CYRM-32; convergent
and discriminant validity was compared with the
BRCS, ACS, and AF5
Malee et al., 2019 6 –14 Parent 448 Longitudinal Outcome x Completed every 6 months; resilience was defined as
having CBCL T-scores within the normal range (T-
score <60)
Mantovani et al.,
2020
14– 18 Child 9 Intervention Outcome x Semistructured, one-to-one interviews in relation to a 1-
year peer-mentoring relationship
Matsuyama et al.,
2020
6– 10 Parent 2712 Longitudinal Mediator CRCS; resilience as a mediator between parent –child
interactions and dental caries incidence
Mayr et al., 2020 9– 15 Child 24 Intervention Outcome Lifestyle intervention; cardiorespiratory fitness and
Piers-Harris 2 children’s self-concept scale was
assessed at baseline and at 12 weeks
Miller-Graff
et al., 2020
4– 17 Parent 385 Cross-sectional Outcome x SDQ ¼Total and prosocial skills subscale; other
parental measures included: the FACES-IV, the PBS,
and the RRC-ARM
Morgan
et al., 2020
9– 16 Child 252 Cross-sectional Outcome x Also administered the Perceived Parental Rearing
Patterns Scale (EMBU), Chinese version
Study
Age range
(in years) Informant
Sample
size
Study
design
Resilience
variable SDQ RSCA
Rosenberg
self-esteem CBCL Qualitative Other measure(s)
Ndetei et al., 2019 11– 18 Child 1883 Cross-sectional Outcome x Resilience scale (ER-89) þYSR
Rotheram-Borus
et al., 2019
0– 5 Parent 1073 Longitudinal Outcome x x Resilience was defined as being within the normal
range for growth, cognitive functioning, and
behavior; measures include: the Bayley Scale of
Infant Development, the Peabody Picture
Vocabulary Test, the KABC
Shaw et al., 2019 11, 13, 15 Child 5286 Cross-sectional Outcome 5-item World Health Organization Wellbeing
index þ3 promotive factors: frequency of eating
family meals together, classmate support and
teacher support
Tam et al., 2020 9 –10 Child 276 Intervention Outcome x x Resilience-based intervention; also administered:
MSAS and the CSES-A
Measuring resilience in children King et al.
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Copyright © 2020 Wolters Kluwer Health, Inc. All rights reserved.
Table 1 (Continued )
Study
Age range
(in years) Informant
Sample
size
Study
design
Resilience
variable SDQ RSCA
Rosenberg
self-esteem CBCL Qualitative Other measure(s)
Tian et al., 2019 10–17 Child 2898 Cross-sectional Predictor x Also assessed self-harm and depressive symptoms
Veronese et al.,
2020
7– 13 Child 29 Cross-sectional Outcome x Participatory approach based on children’s drawings
of maps representing safe and unsafe places
followed by a guided walk (n¼10) through those
places
Vreeman et al.,
2019
10– 14 Child 253 Intervention Outcome x Context of RCT; depression symptoms were measured
using the Patient Health Questionnaire (PHQ-9);
resilience was defined as having low scores on
SDQ Total and PHQ-9
Wang et al., 2019 0.5 –6 Parent 2397 Cross-sectional Mediator DECA þInfant-Junior Middle School Student’s Ability of
Social Life Scale; having a score of 60 or more on
DECA was defined as resilience
Worku et al., 2019 13 Child 137 Cross-sectional Outcome x Conducted interviews and focus groups þthe Ryff and
Keyes Scales of Psychological Well Being
Study Age range (in years) Informant Sample size Study design Resilience variable Other measure(s)
Wu et al., 2020 8–14 Child 816 Longitudinal Outcome Self-rating Scale of Psychological Resilience; the
preliminary questionnaire was validated in a
presample of 269 children
Xiao et al., 2019 10– 17 Child 2898 Cross-sectional Outcome RSCA ¼Resilience Scale for Chinese Adolescents
Young et al., 2020 4 Child 64 Longitudinal Outcome Different types of intelligence were assessed using the
WPPSI-III; language ability was determined using
the CELF-Pre2; visual ability and motor coordination
was assessed using the Beery-Buktenica Test of VMI;
cortical thickness, surface area and brain volume
were assessed using MRI scans; resilient was
defined as having good neurodevelopmental
outcomes and cognitive abilities
ACS, Coping Strategies for Adolescents; AF5, Self-Concept Form 5; AFQ-Y, Avoidance and Fusion Questionnaire for Youth; BRCS, Brief Resilient Coping Scale; BSI, Brief Symptom Inventory; CBCL, Child Behavior
Checklist; CD-RISC, Connor Davidson-Resilience Scale; CELF-Pre2, Clinical Evaluation of Language FundamentalsPreschool, 2nd Ed; CPAQ-A, Chronic Pain Acceptance Questionnaire –Adolescent version; CRCS,
Children’s Resilient Coping Scale; CSES-A, Cultural Self-Efficacy Scale for Children and Adolescents; CYRM, Child and Youth Resilience Measure; DECA, Devereux Early Childhood Assessment; EMBU, Egna Minnen av
barndoms uppfostran; EYFSP, Early Years Foundation Stage Profile; FACES-IV, Family Adaptability and Cohesion Scale; FRS, Family Resources Survey; GHQ-28, General Health Questionnaire; KABC, Kaufman
Assessment Battery for Children; MSAS, Making Sense of Adversity Scale; NSCH, National Survey of Children’s Health; PBS, Parent Behavior Scale; RRC-ARM, Resilience Research Centre-Adult Resilience Measure;
RSCA, Resilience Scale for Chinese Adolescents; SDQ, Strengths and Difficulties Questionnaire; SGSS, Sherer General self-efficacy scale; VMI, visual motor integration; WPPSI-III, Wechsler Preschool and Primary Scales
of Intelligence 3rd Ed; YSR, Youth Self Report.
Mood and anxiety disorders
14 www.co-psychiatry.com Volume 34 Number 1 January 2021
Copyright © 2020 Wolters Kluwer Health, Inc. All rights reserved.
Likert scale that taps into seven domains: goal focus,
emotion control, positive cognition, family support,
interpersonal assistance, personal strength, and sup-
port [38]. The RSCA was exclusively used in studies
with Chinese participants [29,39,40
&
,41,42]. The
CBCL addresses a range of emotional and behavioral
problems including internalizing and externalizing
symptoms, attention problems, and aggressive
behaviors; total scores or its subscales can be used
[43]. The preschool version of the CBCL contains
100 items, is intended for children aged 1.5 5 years
and relies on parent reports. The school-age version
is made up of 118 items, is designed for children
aged 6–18 years and can be teacher or parent-
reported; otherwise if the child is 11 years or older,
then the 112-item Youth Self-Report (YSR) version
of the CBCL can be used [44]. For the current review,
three studies relied on parent reports [34,45,46
&
],
whereas two studies administered the YSR version
[47
&
,48]. Of the studies identified in the current
review, one study examined the CBCL total scores
as well as the internalizing and externalizing sub-
scales [46
&
], another analyzed the CBCL total scores
along with the aggressive subscale [34], another used
the activities and social subscale [47
&
], and two used
the CBCL total scores only [45,48]. However, in two
of these studies, the CBCL scores were used as an
indicator of behavioral and emotional problems
rather than resilience [46
&
,48]. The other studies
used the CBCL ‘activities and social’ subscale as a
measure of social competence [47
&
], whereas the
remaining two studies defined resilience as having
CBCL scores in the normal range [34,45].
The next most commonly used instruments
were the Rosenberg Self-Esteem Scale and the Child
and Youth Resilience Measure (CYRM). The Rosen-
berg Self-Esteem Scale was administered in four
studies [28,30,40
&
,47
&
] and the CYRM in three
[31,36,46
&
]. The Rosenberg Self-Esteem scale is com-
posed of 10 items and conforms to a 4-point Likert
scale [49]. There are three versions of the CYRM, the
12, 28, and 32-item versions all of which are based
on a 5-point Likert scale [50,51]. The CYRM-12 was
administered in two studies [36,46
&
] whereas the
CYRM-32 was used and validated in one study [31].
Another two studies [30,52] administered the
25-item Connor Davidson-Resilience Scale [53],
although Folayan et al. [30] utilized the reduced
10-item version [54]. The Ryff and Keyes Scales of
Psychological Well Being is an instrument consist-
ing of six subscales: self-acceptance, positive rela-
tions with others, autonomy, environmental
mastery, purpose in life and personal growth [55]
and was administered in two studies as well [23,52].
The remaining studies used other measures of resil-
ience and are indicated in Table 1.
With the exception of six studies where resilience
was either characterized as an absence of psychologi-
cal inflexibility [24], having low scores on the SDQ
[35,37], or being in the normal range behaviorally
(e.g., CBCL scores) [34,45], developmentally [34], or
cognitively [56], the remaining studies used actual
resilient scales or measures of positive adjustment
rather than relying on an absence of psychopathol-
ogy to characterize resilience. This is reassuring con-
sidering that a similar review which was conducted
recently (from 2004 to 2018) and examined measures
of resilience in children, found that over half of the
identified studies characterized resilience as an
absence of psychopathology, namely low levels of
externalizing and internalizing problems, anxiety,
depressive symptoms, aggression, delinquency, anti-
social behavior, and drug use [57
&&
]. It is possible that
current research in psychiatry is starting to address
concerns about equating an absence of psychopa-
thology with resilience.
A significant limitation of the studies identified
in the current review and of those reviewed by Gart-
land et al. [57
&&
] is that none featured observable
behavioral measures of resiliency in the children;
rather they were all based on self-reports and par-
ent-reports or to a lesser extent, teacher-reports. Some
of the limitations of relying on self-report measures
are that they introduce social-desirability and recall
biases [58] and disagreement among informants has
been a long-standing issue in research [59,60]. Obser-
vational measures of resilience such as how a child
copes with a stressful task may be a more reliable
means of detecting resilience in young children as it
provides insight into the behavioral and cognitive
processes involved. Although there was one study
identified in our review which used the BEST-C (the
children’s version of the Trier Social Stress Test) and
includes verbal reports assessing self-reported stress
and coping in response to the task, these reports were
only examined in the context of a manipulation
check. Furthermore, the main purpose of this study
was to assess the impact of this task on salivary
cortisol and heart rate [21]. An alternative to this
paradigm is the Challenging Puzzles Task (CPT),
which not only captures how children deal with a
stressful task but also taps into three indicators of
resilience: positive self-evaluation, hopefulness, and
motivation [15,61–63]. These constructs are detect-
able in children as young as four years old [64] and are
relatively stable up to five years later [65].
RECOMMENDATIONS FOR FUTURE
RESEARCH
The Maternal Adversity, Vulnerability and Neurode-
velopment (MAVAN) project, a community-based,
Measuring resilience in children King et al.
0951-7367 Copyright ß2020 Wolters Kluwer Health, Inc. All rights reserved. www.co-psychiatry.com 15
Copyright © 2020 Wolters Kluwer Health, Inc. All rights reserved.
prospective cohort study of pregnant mothers and
their offspring, is currently using the CPT to identify
the developmental pathways associated with risk and
resilience. Dyads are assessed longitudinally, with
multiple assessments of both mother and child in
home and laboratory from pregnancy to late adoles-
cence. In our study, the CPT was administered to five-
year-old children by a trained experimenter in the
child’s home alongside other measures of child
behavior. The CPT [66] is a modified version of the
task used by Cole et al. [64,65] with children of the
same age: our adapted version consisted of five puzzle
trials instead of the original seven trials. The CPT
consists of a series of possible and impossible puzzles,
whereby reactions to a challenge (in this case, three
impossible puzzles) are captured via a rating scale.
Puzzles one and five are possible to solve and can be
completed with the help of the research assistant as
needed whereas puzzles 2–4 are impossible and have
a time limit of 2minutes. A picture of each puzzle is
shown before the challenge begins and after each
puzzle the children are asked the following questions:
How well do you think you did on the puzzle? (posi-
tive self-evaluation); How do you think you will do on
the next puzzle?(hopefulness); How do you feel about
doing the next puzzle? (motivation). To answer these
questions, a prepuzzle trial is conducted to ensure the
child understands the accompanying rating scales (of
stars and happy/sad faces) which range from 1 (nega-
tive outlook) to 5 (positive outlook; Fig. 1).
Measures of resilience were captured in two
ways. First, self-ratings according to the above ques-
tions were recorded and used to conduct data-driven
trajectory analyses across the five puzzles for each
indicator of resilience. Whether assessing positive
self-evaluation, hopefulness or motivation, prelimi-
nary data corresponding to these trajectory analyses
revealed three distinct and consistent response pat-
terns. One group of children remained relatively
stable and exhibited positive self-appraisal through-
out the puzzle task even when faced with failures
(resilient group), another group showed a decrease
in self-appraisal when faced with impossible puzzles
followed by an improvement in self-appraisal when
presented with a solvable puzzle (rebound group),
whereas a third group of children exhibited steadily
decreasing self-appraisal even when presented with
a solvable puzzle post-impossible trials (discouraged
group; Fig. 2). Similar trajectories have been
detected in other studies on resilience [67 69], fur-
ther validating our findings.
Second, a video component of the CPT is cur-
rently being coded according to the Disruptive
Behavior Diagnostic Observation Schedule (DB-
DOS), a structured clinic-based assessment designed
to capture emotional dysregulation in young
children [70,71]. For our purposes, the DB-DOS was
adapted to capture salient behaviors relevant to the
CPT: anger modulation, stress reactivity, compe-
tence, prosocial skills, and coping strategies. Exam-
ples of the behaviors in question are noted across all
five puzzles with attention paid to the intensity and
frequency as well as the child’s verbal and physical
cues (e.g., frowning, self-talk, complaints, shrugging
of shoulders, crossing of arms). Codes range from 0
to 3 with 3 indicating that the behavior in question
is present to a high degree and 0 indicating that the
behavior is not present. The scores are then totaled
across each domain. Because of the subjectivity in
coding, internal reliability was set at 80% with the
second coder needing to demonstrate agreeableness
on 4/5 behavior codes before going on to code inde-
pendently. Additionally, 40% of the videos were
double-coded and 25% triple-coded to establish
interrater reliability. Essentially, this video compo-
nent of the CPT will complement the self-ratings with
observed measures, thereby enriching this task as a
robust and valid measure of resilience. Analyses using
this measure are currently underway.
EARLY LIFE ADVERSITY
Models of resilience have historically included con-
sideration of developmental pathways including the
role of ELA and constitutional (e.g., genetic) suscep-
tibility. The operationalization of ELA requires spe-
cific attention as one factor that is often overlooked
and difficult to disentangle is the timing of exposure
to ELA. The early life period is critical as some win-
dows of development may be more influential than
others. For example, the prenatal period has been the
focus of much investigation because the fetus is
forming according to incoming signals from the
maternal environment [72]. The fetus is therefore
susceptible to prenatal stress and maternal mood
states whose effects can be directly transmitted via
neuroendocrine signals and epigenetic programming
[73,74]. On the other hand, postnatal influences have
the potential to modulate or even override prenatal
effects as well as genetic vulnerability effects [75– 77].
Children’s brains are known to be extremely plastic
up until early adulthood [78,79] and compelling
evidence from attachment and maternal care
research demonstrates the profound impact of post-
natal influences on child development [80– 82].
Other research suggests that it is not necessarily a
question of timing, but whether the prenatal envi-
ronment ‘matches’ the postnatal environment, a
concept known as the match-mismatch hypothesis
[83]. If the postnatal environment is congruent with
the prenatal environment, the fetus’ adaptations in
utero will apply outside the womb resulting in more
Mood and anxiety disorders
16 www.co-psychiatry.com Volume 34 Number 1 January 2021
Copyright © 2020 Wolters Kluwer Health, Inc. All rights reserved.
favorable outcomes. However, if the prenatal and
postnatal environments are a mismatch, the fetus
will be maladapted to the postnatal environment,
leading to negative outcomes. Another theory pro-
poses that prenatal stress can promote postnatal
plasticity and positive outcomes (if reared in a sup-
portive environment) because of an increased sensi-
tivity that develops from prenatal stress exposure
[84]. Regardless of timing effects, perhaps the more
important question is: does prenatal ELA extend into
FIGURE 1. Images and examples of the Challenging Puzzles Task (CPT). Three questions corresponding to positive self-evaluation,
hopefulness and motivation are asked after each puzzle and participants can respond using the child-friendly rating scales.
Measuring resilience in children King et al.
0951-7367 Copyright ß2020 Wolters Kluwer Health, Inc. All rights reserved. www.co-psychiatry.com 17
Copyright © 2020 Wolters Kluwer Health, Inc. All rights reserved.
the postnatal period and if so, how chronic and/or
severe is the ELA? To answer this question, longitudi-
nal measures of ELA are necessary. However, the
chronicity and severity of ELA is not often captured
when assessing environmental risk; rather the mere
presence or absence of a stressor is captured [13,85,86].
Categorizing environmental risk this way likely leads
to inconsistent results as one incident of child mal-
treatment can have a very different impact compared
with having experienced years of child maltreatment.
THE ROLE OF GENETICS
No article identified for this review assessed the
influence of genetics on resilient outcomes in
children although several gene variants (namely,
those associated with the serotonin transporter,
BDNF, CRHR1, and DRD4 [BDNF ¼brain-derived
neurotrophic factor, CRHR1 ¼corticotropin-releas-
ing hormone receptor 1, DRD4 ¼dopamine receptor
4]) have been associated with resilience because of
their implication in emotional and stress regulation
[12,87–93]. Despite a general consensus that there
are direct genetic influences on resilience, mixed
results from genetic studies [94
&&
,95
&
,96] have
prompted a reflection about how to capture the
complexity of genetic susceptibility and its interac-
tion with environmental factors. As a result, current
research efforts are not only moving away from
candidate gene studies, but they are also moving
FIGURE 2. Trajectory patterns for the three indicators of resilience on the Challenging Puzzle Task (CPT) identifying children
as being in the resilient, rebound or discouraged group.
Mood and anxiety disorders
18 www.co-psychiatry.com Volume 34 Number 1 January 2021
Copyright © 2020 Wolters Kluwer Health, Inc. All rights reserved.
toward gene-by-environment (G E) interaction
studies to explain behavior. Emerging evidence sug-
gests that a combination of environmental and
genetic factors likely influence the relationship
between stress exposure and resilient outcomes. In
other words, genotype may only be a risk factor
under certain environmental conditions [7], a con-
cept that is supported by the differential suscepti-
bility hypothesis [83]. Specifically, the differential
susceptibility hypothesis posits that an underlying
biological vulnerability may not only render indi-
viduals more sensitive to adverse environments
(resulting in worse outcomes), but equally sensitive
to positive environments as well, flourishing as a
result [96]. On the other hand, individuals without
genetic susceptibility may be more likely to perse-
vere regardless of environmental quality.
GE approaches are consistent with findings in
molecular biology which reveal that gene expres-
sion is contingent upon transcriptional signals that
derive from the internal and the external environ-
ment. That the majority of G E studies demon-
strate moderate replicability [97], leads to reflection
about a number of factors. First, most G E studies
focus on a restricted range of environmental factors
and a limited number of genes. This suggests the
need for approaches that can model complex and
comprehensive lists of environmental and genetic
factors [98]. Second, most G E studies are based on
a diathesis-stress model whereby genetic suscepti-
bility to psychiatric disorders manifests under
stressful conditions with more severe stressors
increasing the chances that a disorder will develop
in a dose-dependent manner [99]. The concern is
that the diathesis-stress model often focuses on
negative environmental influences and negative
outcomes; otherwise an absence of adversity and
dysfunction is measured in place of positive factors
[8,13]. Measuring resilience as the absence of adver-
sity or dysfunction may mask potential differential
susceptibility findings as such approaches favor
vulnerability explanations [100] which may lead
to inconsistent results. The diathesis-stress model
also fails to explain why susceptibility genotypes
have not been selected against over the course of
evolution. The significant frequency of many of
these ‘susceptibility’ genotypes [95
&
] suggest some
advantage to carrying ‘risk alleles’ or at the very
least, that the expression of such genes depends on
variability in the environment.
CONCLUSION
The results from this review suggest that research on
resilience in children is moving away from opera-
tionalizing resilience merely as the absence of
psychopathology, in favor of an understanding that
resilience is a dynamic process that encompasses
several interacting features including coping strate-
gies, emotional regulation abilities, flexibility, self-
esteem, a positive outlook, and prosocial skills.
Some of the studies identified in this review
attempted to capture some of this complexity by
using mixed-methods approaches or by using mul-
tiple instruments to measure resilient functioning.
Also important to note is that although the majority
of the reviewed studies featured resilience as an
outcome variable, very few reported an effect size
[23,33,36,37,101], a key measure needed to deter-
mine the explanatory value of the models being
tested. Despite the move toward more valid mea-
sures of resilience, the exclusive reliance on self-
report or parent-report measures poses some chal-
lenges as resilience is a multidimensional construct
that relies on behavioural and cognitive processes.
For this reason, we propose a method of operation-
alizing resilience in young children that combines
behavioral tasks, self-ratings, and observational
measures. Preliminary findings derived from this
approach appear promising.
We also highlight other considerations in resil-
ience research and propose recommendations for
going forward pertaining to: how ELA is character-
ized; and the influence of genetics on resilient out-
comes. Having a better understanding of these
factors may help explain variability in outcomes.
Although this review outlines measures of resilience
in children, one of the next steps should be the
construction and validation of resilience measures
applicable across the lifespan. This would enable the
exploration of the stability of resilient functioning,
critical protective factors, including key strategies
and processes that could be used in the promotion of
mental wellness. The application of such interven-
tion strategies would be most optimal in early child-
hood when the plasticity of children’s behavior,
cognitive and emotional development can be
exploited to undo maladaptive patterns not
yet entrenched.
Acknowledgements
We would like to thank all the families who participated
in this study, without which this research would not have
been possible.
Financial support and sponsorship
The primary sources of funding for this study include the
Canadian Institute for Health Research (CIHR), grant
numbers: 359912, 365309, and 231614.
Conflicts of interest
There are no conflicts of interest.
Measuring resilience in children King et al.
0951-7367 Copyright ß2020 Wolters Kluwer Health, Inc. All rights reserved. www.co-psychiatry.com 19
Copyright © 2020 Wolters Kluwer Health, Inc. All rights reserved.
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... Studies investigating child resilience using validated measures are uncommon in both Indigenous and non-Indigenous contexts. There are few quantitative child measures available, and even fewer encompass both internal and external resources [11][12][13]. Recent reviews indicate the Strengths and Difficulties Questionnaire (SDQ), a measure of emotional and behavioural functioning or mental health, has most commonly been used to reflect resilience [11]. ...
... There are few quantitative child measures available, and even fewer encompass both internal and external resources [11][12][13]. Recent reviews indicate the Strengths and Difficulties Questionnaire (SDQ), a measure of emotional and behavioural functioning or mental health, has most commonly been used to reflect resilience [11]. Such studies use positive functioning to identify resilience in the presence of an adversity such as family violence, whereas in this study, resilience is seen as the process that mediates between adversity and mental health or social and emotional wellbeing. ...
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Background Resilience is a process of drawing on internal or external strengths to regain, sustain or improve adaptive outcomes despite adversity. Using a child resilience measure co-designed with Aboriginal and Torres Strait Islander communities, we investigate: 1) children’s personal, family, school and community strengths; 2) gender differences; and 3) associations between resilience and wellbeing. Methods 1132 parent/caregivers of children aged 5–12 years were recruited to the Childhood Resilience Study, including through the Aboriginal Families Study. The Aboriginal Families Study is a population-based cohort of 344 mothers of an Aboriginal and/or Torres Strait Islander child. This paper focuses on the wave 2 survey data on child resilience at age 5–9 years (n = 231). Resilience was assessed with the Child Resilience Questionnaire-parent/caregiver report (CRQ-P/C), categorised into tertiles of low, moderate and high scores. Child emotional/behavioural wellbeing and mental health competence was assessed with the parent-report Strengths and Difficulties Questionnaire. All Tobit regression models adjusted for child age. Outcomes Aboriginal and Torres Strait Islander girls had higher resilience scores compared to boys (Adj.β = 0·9, 95%CI 0·9–1·4), with higher School Engagement , Friends and Connectedness to language scale scores. Resilience scores were strongly associated with wellbeing and high mental health competence. A higher proportion of girls with low resilience scores had positive wellbeing than did boys (73.3% versus 49.0%). High resilience scores were associated with lower SDQ total difficulties score after adjusting for child age, gender, maternal age and education and family location (major city, regional, remote) (Adj.β = -3.4, 95%CI -5.1, -1.7). Compared to the Childhood Resilience Study sample, Aboriginal Families Study children had higher mean CRQ-P/C scores in the personal and family domains. Interpretation High family strengths can support Aboriginal and Torres Strait Islander children at both an individual and cultural level. Boys may benefit from added scaffolding by schools, family and communities to support their social and academic connectedness.
... These limitations mean that in practice, child resilience has most commonly been identified by proxy, often using the Strengths and Difficulties Questionnaire, which is a measure of emotional and behavioural wellbeing developed in a majority population and translated for use with other language groups [25]. Such research is in effect using positive emotional and behavioural wellbeing to identify resilient individuals. ...
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Refugee research tends to be deficit based and focused on the risks threatening positive adaptation and wellbeing. High rates of mental (and physical) health issues have been reported for refugee adults and children, including intergenerational trauma. This study uses the new Child Resilience Questionnaire (CRQ), co-designed with refugee background communities, to describe resilience and positive wellbeing experienced by children of refugee-background. The Childhood Resilience Study (CRS) recruited 1132 families with children aged 5–12 years in Victoria and South Australia, Australia. This included the recruitment of 109 families from 4 refugee background communities: Assyrian Chaldean (Iraq, Syria), Hazara (Afghanistan), Karen (Burma, Thailand) and Sierra Leonean families. CRQ-parent/caregiver report (CRQ-P/C) scores were categorised into ‘low’, ‘moderate’ and ‘high’. The child’s emotional and behavioural wellbeing was assessed with the Strengths and Difficulties Questionnaire, with positive wellbeing defined as <17 on the total difficulties score. Tobit regression models adjusted for a child’s age. The CRQ-P/C scores were not different for boys and girls of refugee background. Children of refugee-background (n = 109) had higher average CRQ-P/C scores than other CRS children (n = 1023) in the personal, school and community domains, but were lower in the family domain. Most children with ‘high’ resilience scores had positive wellbeing for both children of refugee-background (94.6%) and other CRS children (96.5%). Contrary to common stereotypes, children of refugee-background show specific individual, family, school and cultural strengths that can help them navigate cumulative and complex risks to sustain or develop their positive wellbeing. A better understanding as to how to build strengths at personal, family, peer, school and community levels where children are vulnerable is an important next step. Working in close collaboration with refugee communities, schools, policy makers and key service providers will ensure the optimal translation of these findings into sustainable practice and impactful public policy.
... In the current study, we focus on two specific and differentiated levels of stress resilience: perceived resilience (i.e., belief in one's ability to psychologically "bounce back" and recover from stressors) and physiological recovery from stress (i.e., the body's ability to physiologically recover quickly and fully after a stressful event). Perceived resilience, measured using self-report questionnaires and sometimes referred to as psychological or mental resilience (Tuxunjiang et al., 2022), is one of the most commonly measured aspects of resilience (King et al., 2021). Perceived resilience during pregnancy may help the individual adapt positively to new and changing stressors during this life stage. ...
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Exposure to high levels of stress during pregnancy is a known risk factor for a wide range of offspring outcomes, but little is known about the biopsychosocial factors underlying resilience and recovery from stress during pregnancy. The current study investigated associations between emotional and instrumental support during pregnancy and resilience to stress during pregnancy, including perceived resilience (belief in ability to “bounce back” from adversity) and physiological resilience (ability to physiologically recover quickly after an acute stressor). We further tested whether support and resilience during pregnancy predicted offspring internalizing and externalizing behaviors. Participants included 130 pregnant women (ages 26–28 years; 58% Black, 27% White, 15% Multiracial; 28% receiving public assistance) from a population-based longitudinal study. During pregnancy, participants reported on emotional and instrumental support, current life stressors, and perceived resilience to stress. In addition, heart rate variability was recorded continuously before, during, and after a controlled stress test to measure physiological recovery from stressors. When offspring were 2–3 years of age, mothers reported on children’s internalizing and externalizing problems. Results from moderated mediation analyses indicated that emotional, but not instrumental, support was associated with perceived resilience during pregnancy, which predicted lower internalizing and externalizing problems in offspring. Emotional support also predicted greater physiological recovery during pregnancy, but only for individuals reporting multiple life stressors. Findings suggest that emotional support may influence psychological and physiological responses to stress during pregnancy, with implications for offspring emotional and behavioral health. Clinical implications of these results and directions for future research are discussed.
... 35 However, King and colleagues suggested that resilience should be measured not only with self-report questionnaires but also with observational behavioral measures such as measuring how children cope with stressful tasks to better understand this complex construct. 63,64 This is relevant as challenges in EF, which are common in cCHD, may hinder introspection. Introspection is crucial for completing self-reported questionnaire. ...
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Importance Infants with complex congenital heart disease (cCHD) may experience prolonged and severe stress when undergoing open heart surgery. However, little is known about long-term stress and its role in neurodevelopmental impairments in this population. Objective To investigate potential differences between early adolescents aged 10 to 15 years with cCHD and healthy controls in physiological stress markers by hair analysis, executive function (EF) performance, and resilience. Design, Setting, and Participants This single-center, population-based case-control study was conducted at the University Children’s Hospital Zurich, Switzerland. Patients with different types of cCHD who underwent cardiopulmonary bypass surgery during the first year of life and who did not have a genetic disorder were included in a prospective cohort study between 2004 and 2012. A total of 178 patients were eligible for assessment at ages 10 to 15 years. A control group of healthy term-born individuals was cross-sectionally recruited. Data assessment was between 2019 and 2021. Statistical analysis was performed from January to April 2023. Exposure Patients with cCHD who underwent infant open heart surgery. Main Outcomes and Measures Physiological stress markers were quantified by summing cortisol and cortisone concentrations measured with liquid chromatography with tandem mass spectrometry in a 3-centimeter hair strand. EFs were assessed with a neuropsychological test battery to produce an age-adjusted EF summary score. Resilience was assessed with a standardized self-report questionnaire. Results The study included 100 patients with cCHD and 104 controls between 10 and 15 years of age (mean [SD] age, 13.3 [1.3] years); 110 (53.9%) were male and 94 (46.1%) were female. When adjusting for age, sex, and parental education, patients had significantly higher sums of hair cortisol and cortisone concentrations (β, 0.28 [95% CI, 0.12 to 0.43]; P < .001) and lower EF scores (β, −0.36 [95% CI, −0.49 to −0.23]; P < .001) than controls. There was no group difference in self-reported resilience (β, −0.04 [95% CI, −0.23 to 0.12]; P = .63). A significant interaction effect between stress markers and EFs was found, indicating a stronger negative association in patients than controls (β, −0.65 [95% CI, −1.15 to −0.15]; P = .01). The contrast effects were not significant in patients (β, −0.21 [95% CI, −0.43 to −0.00]; P = .06) and controls (β, 0.09 [95% CI, −0.11 to 0.30]; P = .38). Conclusions and Relevance This case-control study provides evidence for altered physiological stress levels in adolescents with cCHD and an association with poorer EF. These results suggest that future studies are needed to better understand the neurobiological mechanisms and timing of alterations in the stress system and its role in neurodevelopment.
... A classic example of this type of protective factor is resilience (Anyan et al., 2021;Daigneault et al., 2013;Listosella et al., 2019;Manrique & Alonso Tapia, 2022;Ungar & Liebenberg, 2011) but it can also be posttraumatic growth (Zhou et al., 2017). A recent review of the literature performed by King et al. (2021) examines several conceptualizations of resilience and examines the most commonly used measures for resilience. Authors of this study argue that a broader conceptualization for resilience should be used instead of understanding resilience as the mere absence of psychopathology after a traumatic event. ...
... However, when discussing resilience of (migrant) adolescents, one must be aware that assessment tools for measuring Frontiers in Education 03 frontiersin.org this phenomenon are more prevalent for adults than for younger groups, as studies highlight (e.g., Prince-Embury, 2012; King et al., 2021). Following increased attention paid to migrant adolescents' wellbeing, scholars have recognized the fundamental role schools have in supporting migrant learners during the integration process. ...
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Adolescents present a relevant stakeholder in international migrations since they comprise a large share of all migrants. Previous studies show that migration processes significantly affect the well-being of migrant adolescents. This article investigates how the school environment, with its pedagogical practices and interpersonal relationships established between migrant adolescents, their classmates, and teachers, affect migrant adolescents’ well-being. Our research draws on quantitative data collected as part of the MiCREATE project. The sample of migrant adolescents (N = 700) was surveyed in 46 schools in six countries: Austria, Denmark, Slovenia, Spain, Poland, and the United Kingdom. Results indicate that migrant adolescents like school and feel safe there, however, they tend to be more satisfied with relationships established with teachers than with peers. Furthermore, differences in self-perceived school well-being emerge when comparing countries with a longer tradition of high migration flows (Spain, Denmark, and the United Kingdom) and those less experienced (Poland and Slovenia), although slight exceptions were detected. The results lead to the conclusion that schools that foster intercultural education and fulfilling interpersonal relationships are essential for school well-being of migrant adolescents and present an important step toward successful integration of migrant youth.
... maltreatment and sexual abuse) who did not develop psychopathological disorders, but managed to develop adequate levels of adaptation and a more constructive view of the adverse situations experienced. 9,10 The concept of resilience is an attempt to understand and explain what aspects (protective factors) minimise psychopathological risk and promote positive development in people despite adversity. 8 In fact, most studies on suicidal behaviour in adolescents have focused exclusively on risk variables. ...
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Background The assessment of resilience as an outcome in adolescents remains a challenge, with few instruments available. Some studies have focused on risk factors, but few have focused on protective factors as a formula for measuring resilient outcomes. Aims To adapt a new Suicide Attempt Resilience Scale (SRSA-18) for use with adolescents, analysing its structural validity, the gender and age invariance of the measure, and divergent and convergent validity, together with its reliability. Method The psychometric properties of the scale were assessed in 628 participants aged between 13 and 18 years, of whom 342 (54.5%) were girls. Results After a process of adaptation for adolescents, exploratory and confirmatory factor analysis yielded a three-dimensional structure with adequate goodness-of-fit indices, invariance of the measure according to gender and age, adequate levels of reliability (ω = 0.91), high convergent validity with the 14-Item Resilience Scale and high divergent validity with the suicidal act/planning subdimension of the Adolescent Suicidal Behavior Assessment Scale. Conclusions There is a need to create and adapt instruments to measure resilience in some populations with high psychosocial vulnerability as a key aspect for measuring the impact of prevention and mental health promotion programmes in adolescents.
Article
Resilience is a concept of growing interest because it can systematically inform prevention measures and psychosocial interventions for children and adolescents. The aim of this study was to explore resilience factors among young people who are victims of bullying and harassment (age 9 to 16 years old). In 2021 the burden of the pandemic lockdown became an additional adversity. The study used a repeated cross‐sectional design. Two datasets with a total of 2,211 participants from 2017 ( N = 972) and 2021 ( N = 1,239) were included. The strengths and difficulties questionnaire (SDQ) was applied to define the resilient and non‐resilient groups, and the quality‐of‐life questionnaire (KINDL) was used to map resilience factors. A total of 227 participants reported that they were being bullied, and 604 participants reported harassments from their peers. We used correlation and regression analyses to identify which factors predicted the highest resistance to the negative effects of bullying and harassment. The results were that 77.2% of the participants stayed resilient when facing these maladjustments, but this dropped to 61.7% during the pandemic. The most important resilience factors before the pandemic were the school environment, emotional well‐being, and good relations with their friends. The impact of these predictors changed during the pandemic. Emotional well‐being increased in strength, school environment was reduced, and friends did not predict resilience anymore. The effect sizes were generally large to medium. As it is common to experience adversity at some stage in life, it is vital for families, schools, social and healthcare workers to be aware of the factors associated with resilience. The results of this study may contribute towards an evidence base for developing plans to increase the capacity of resilience among young people.
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Unlabelled: More than 25% of all children grow up with a chronic disease. They are at higher risk for developmental and psychosocial problems. However, children who function resiliently manage to adapt positively to these challenges. We aim to systematically review how resilience is defined and measured in children with a chronic disease. A search of PubMed, Cochrane, Embase, and PsycINFO was performed on December 9, 2022, using resilience, disease, and child/adolescent as search terms. Two reviewers independently screened articles for inclusion according to predefined criteria. Extraction domains included study characteristics, definition, and instruments assessing resilience outcomes, and resilience factors. Fifty-five out of 8766 articles were identified as relevant. In general, resilience was characterized as positive adaptation to adversity. The included studies assessed resilience by the outcomes of positive adaptation, or by resilience factors, or both. We categorized the assessed resilience outcomes into three groups: personal traits, psychosocial functioning, and disease-related outcomes. Moreover, myriad of resilience factors were measured, which were grouped into internal resilience factors (cognitive, social, and emotional competence factors), disease-related factors, and external factors (caregiver factors, social factors, and contextual factors). Our scoping review provides insight into the definitions and instruments used to measure resilience in children with a chronic disease. More knowledge is needed on which resilience factors are related to positive adaptation in specific illness-related challenges, which underlying mechanisms are responsible for this positive adaptation, and how these underlying mechanisms interact with one another. Supplementary information: The online version contains supplementary material available at 10.1007/s42844-023-00092-2.
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The mindset of both teachers and students plays a significant role in how successfully students learn and thrive in schools. Mindsets are defined as the assumptions and expectations we possess about ourselves and others that determine our behaviors. This chapter identifies the components of a resilient mindset and describes the seven instincts that fall under the concept of tenacity. The input of the teacher as a “charismatic adult” for students, as an essential source for their intrinsic motivation, resilience, and social-emotional development, is highlighted. A foundation for an effective classroom environment that enriches the “whole” student is the presence of positive emotions. Such emotions encourage the emergence and maintenance of personal control, self-discipline, intrinsic motivation, responsibility, caring, and resilience. Deci and Ryan’s framework for intrinsic motivation, “self-determination theory,” and its focus on the importance of meeting four basic needs—belonging and connectedness; self-determination and autonomy; competence; and meaning and purpose—are described together with specific strategies to reinforce these needs in all students.
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Using survey data of middle school students from Ye county in Henan province and Chenggu and Ningqiang county in Shaanxi province, China, adopting latent class analysis and hierarchical linear regression, this study analyzes the impact of parental remote migration and parent-child relation types on the psychological resilience of rural left-behind children. The results show that: Only mother’s remote migration has a significantly negative impact on the psychological resilience of rural left-behind children, the time of parental first migration, the distance of father’s migration, and children’s migration have no significant impacts; parent-child relation of “alienation connection and weak function” or parent-child relation combination of “parental alienation connection and weak function” is the most unfavorable factor for the psychological resilience of rural left-behind children, while father-child relation of “close connection but lacking function”, mother-child relation of “intimate connection and strong function”, and combination of “paternal close connection but lacking function - maternal intimate connection and strong function” are the most favorable factors. There is gender difference in the impact of father-child relation types and mother-child relation types, the impact of father-child relation types is stronger than that of mother-child relation types; harmonious parental relation, supportive friends, caring teachers, and moderate home-school interaction are favorable for the psychological resilience of rural left-behind children.
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The transition from active treatment to survivorship is often a highly stressful and potentially critical juncture in determining long-term postactive treatment well-being of individuals with cancer. While decrements in well-being are often observed on average, there is tremendous variation across survivors on many different indices of well-being. During this reentry period, many survivors attempt to make sense of their cancer experience and its ultimate impact on their lives. Based on the broader trauma and coping literature and theory, this chapter considers posttrauma (cancer treatment) adjustment by examining factors that facilitate and/or impede three posttrauma trajectories: continued distress, recovery, and resilience. Influencing these trajectories are aspects of the cancer and treatment (e.g., length and intensity, time since diagnosis), psychosocial resources (e.g., social support) and appraisal and coping processes (e.g., threat vs challenge appraisals, approach vs avoidance coping). With this information, clinicians and researchers can assess and target mutable factors to help those who are distressed and potentially promote resilience during the transition from active treatment to cancer survivorship.
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Children born very preterm (VPT) are at high-risk for altered brain development and impaired neurodevelopmental outcomes but are not well-studied before school-age. We investigated 64 four-year-olds: 37 VPT children [<32 weeks gestational age [GA]; 22 males; mean GA: 28.8 weeks ± 1.6], 25 full-term (FT) children (12 males), plus two VPT cases with ventriculomegaly and exceptionally resilient outcomes. All children underwent high-resolution structural magnetic resonance imaging and developmental assessments. Measures of brain volume, cortical thickness, and surface area were obtained. Children born VPT demonstrated reduced cerebral and cerebellar white matter volumes yet increased cerebral gray matter, temporal lobe, occipital lobe and ventricle volumes after adjusting for total brain volume. Cortical thickness was greater in the VPT children compared to FT children across all lobes. On developmental assessments, the VPT children scored lower on average than FT children while the two cases had intact cognitive abilities. In addition to larger ventricle volumes, the two cases had white matter and gray matter volumes within the ranges of the FT children. The VPT children displayed distinct differences in structural brain volumes at 4 years of age, consistent with delayed maturation. The cases with persistent ventriculomegaly and good cognitive outcomes displayed typical gray matter and increased white matter volumes, indicating a potential protective developmental phenomenon contributing to their intact cognitive abilities.
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Objectives: We evaluated the internal consistencies and the correlation between measures of adverse childhood experiences (ACE), bully victimization, self-esteem, resilience, and social support in children/adolescents in Nigeria. Results: The Cronbach's alphas were 0.67 for the ACE Questionnaire; 0.79 for the victimization subscale of the Illinois Bully Scale; 0.60 for Rosenberg's self-esteem scale; 0.81 for Connor-Davidson resilience scale; and 0.93 for multidimensional perceived social support scale. Social support was negatively correlated with ACE (r = - 0.21) and bully victimization (r = - 0.16) and was associated with higher self-esteem (r = - 0.29) and higher resilience (r = 0.15). Likewise, higher resilience was associated with fewer ACE (r = - 0.07), higher self-esteem (r = - 0.21), and higher bully victimization (r = 0.13). Higher self-esteem was associated with fewer ACE (r = 0.25) and lower bully victimization (r = 0.16), whereas bully victimization was positively correlated with ACE (r = 0.20). The correlations were all statistically significant.
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Background Adverse childhood experiences (ACEs) are common among children. Little is known on how resilience factors and positive childhood experiences (PCEs) may moderate the relationship between ACEs and childhood depression. Objective Our study fills this gap by providing recent, nationally representative estimates of ACE and PCE exposure for ages 8-17 and examines the associations between ACE exposure and PCEs on the outcome of depression. Participants and setting Data were drawn from the nationally representative 2016-2017 National Survey of Children’s Health (NSCH) and included a total sample of 40,302 children and adolescents. Methods Chi square analysis and multivariate logistic regressions were performed to assess associations of depression with 9 ACE and 6 PCE exposures. Additive and multiplicative interactions were examined between ACE exposure and PCEs (resiliency measures) on depression. Survey sampling weights and SAS survey procedures were used. Results Our study found that 4% of children had current depression and those with an ACE count greater than four had increased odds (aOR: 2.29; CI: 1.74-3.02). Multivariate regressions demonstrated associations between depression and low resiliency as well as significant interactions between ACE exposure and three PCEs. Children who were exposed to greater than four ACEs and did not exhibit resilience had 8.75 higher odds of depression (CI: 5.23-14.65) compared to those with less than four ACEs and some resilience. Conclusions These findings illustrate the need for the promotion of PCEs and the building of resiliency for combatting depression and reducing the impact of trauma in children and adolescents.
Article
Purpose: To investigate the association between parent-child interactions in the first grade, child resilience in the second grade, and dental caries incidence in the fourth grade of elementary school. Methods: The longitudinal data of 3,168 children from the Adachi Child Health Impact of Living Difficulty (A-CHILD) study were analyzed. In 2015, caregivers of all first-grade public elementary school children in Adachi City, Tokyo, Japan, provided answers about their parenting behaviors. In the second grade, child resilience and oral health behaviors were measured. The incidence of dental caries in the fourth grade was assessed during mandatory dental checkups at school. Structural equation modeling was applied. Results: Parent-child interactions at the first-grade was associated with higher resilience of children in second grade (standardized coefficient [β] equals 0.402; 95 percent confidence interval [95% CI] equals 0.357 to 0.446), which was associated with favorable oral health behavior in the same year (β equals 0.236, 95% CI equals 0.159 to 0.313). Favorable oral health behavior was inversely associated with dental caries incidence in the fourth grade (β equals -0.108, 95% CI equals -0.170 to -0.045). Conclusion: Parent-child interactions were associated with improved resilience and fewer incidents of dental caries in children.
Article
The objective of this research is to compare psychological resilience in Chinese firstborn and only children and its relation to perceived parenting styles and child abuse. The results found that total psychological resilience score, and resilience subscales such as emotion control and goal focus mean scores of the firstborn child was significantly lower compared to the only child (Ps<0.05). The total psychological resilience scores of both male and female in firstborn children was significantly lower, when compared respectively to only children (Ps<0.01). Emotional warmth and understanding in both parents was positively correlated to total psychological resilience (Ps<0.01) in the only child. Severe punishment by the father and rejection/denial by the mother were factors negatively correlated to total psychological resilience score in the only child (Ps<0.01). Severe punishment and rejection/denial by the father and severe punishment by the mother was negatively correlated to total psychological resilience score in the firstborn child (Ps<0.05). Child abuse was negatively correlated to total psychological resilience (r= -0.246, P < 0.05) scores in the only child, and was negatively correlated to goal focus (r= -0.191, P < 0.05) and emotion control (r= -0.222, P < 0.05) scores in the first born child. In conclusion, the firstborn child had a lower psychological resilience score when compared to the only child, especially the female firstborn child. Negative perceived parenting style and child abuse were detrimental to psychological resilience.
Article
Approximately 20% of children and adolescents in the United States are affected by mental, emotional, and behavioral (MEB) disorders. Child flourishment and family resilience contribute to healthy family development, including the promotion of child MEB wellbeing. Identifying factors that promote child flourishment and family resilience are critical. This study aimed to determine the prevalence and parenting factors associated with family resilience and child flourishment among children aged 6–17 years with MEB disorders. This was a secondary analysis of the 2016–2017 National Survey of Children's Health. The sample consisted of parents and their children (n = 1,900, weighted n = 5,375,670). Data were weighted to be representative of the US population and analyzed using descriptive statistics and linear regression. We found that only 6.3% of children aged 6–17 with an MEB were optimally flourishing. Parental aggravation was negatively associated with child flourishment, and parental coping was positively associated with child flourishment. In total, 66.5% of families with children exhibited resilience. Parental coping and availability of parental emotional support were positively associated with family resilience. Potential interventions that leverage study findings include parent training to increase parental emotional regulation (e.g., increase frustration tolerance, coping skills) and family navigation services to increase parental support (e.g., emotional support, coping skills) through the child's treatment trajectory. Overall, this study provides evidence of a disparity in flourishment in America's youth with MEB disorders, and despite this adversity, families are resilient.
Article
Background Child victimization is one of the most serious, preventable threats to child health and wellbeing around the world. Contemporary research has demonstrated that polyvictimization, or children’s experience of multiple types of victimization, is particularly detrimental. Objective The current study aims to evaluate relationships between child victimization and child resilience with a particular focus on caregiver and family promotive factors. Participants and setting Participants included N = 385 caregiver-child dyads from a high-risk neighborhood in San Juan de Lurigancho district in Lima, Peru. Methods Data were collected in the context of a representative survey of houses in the neighborhood; an index child (ages 4-17) was randomly selected for each household and caregivers provided reports on core study constructs. Results Child victimization (β = .35, p < .001) and harsh punishment (β = .17, p < .001) were associated with higher levels of child adjustment problems. Caregiver depression was associated with both higher adjustment problems (β = .22, p < .001) and higher prosocial skills (β = .14, p = .003). Caregiver resilience was associated with lower adjustment problems (β = -.15, p = .01) and higher prosocial skills (β = .14, p = .04). Positive parenting was associated with lower adjustment problems (β = -.15, p < .001) and higher prosocial skills (β = .20, p < .001). Family cohesion (β = .23, p = .001) was positively associated only with children’s prosocial skills. Conclusions Findings suggest that caregiver resilience and positive parenting are consistent promotive factors for child resilience across indicators, including both adjustment problems and prosocial skills. These promotive factors may therefore be promising potential targets address in the context of interventions aimed at promoting child resilience.
Article
Young Adult Children of Alcoholics (YACOA) are vulnerable to emotional psychopathology. However, some of them remain healthy and lead a productive life despite growing up in adverse circumstances. The present study aims at understanding the relationship between resilience and positive psychological factors among those healthy YACOA. Participants who were identified as YACOA were enrolled from both urban and rural colleges in Karnataka (India). Among them, those who did not report emotional psychopathology were assessed on measures of Resilience, socio-cultural factors (family support, community support, and participation in religious rituals), Self-efficacy and psychological well-being. They were divided into high and low resilience groups based on the median scores. YACOA with high resilience had a significant positive association with cultural factors of resilience whereas YACOA with low resilience had significant positive association with self-efficacy and sub-categories of psychological wellbeing. Binary Logistic Regression analysis found that socio-cultural factors were found to be associated with high resilience among YACOA. This study has recognized the significance of socio-cultural factors and self-acceptance in enhancing resilience among healthy YACOA. These findings offer insights into the interventions for the wellbeing of the YACOA.