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Sleep quality of Shanghai residents: population-based cross-sectional study

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Objective To estimate the prevalence of poor sleep and its risk factors for adults living in a suburban area of Shanghai with rapid urbanization. Methods A total of 37,545 residents who were aged 20 to 74 years and from the “Peak Program,” a community-based natural population cohort study, were included. Data on demographics, lifestyle, and physical health-related factors were collected using a face-to-face questionnaire interview. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI), and poor sleep was defined as a PSQI score above 7. Results The overall mean of PSQI score was 3.69 ± 2.57 while the prevalence of poor sleep was 8.3%. The prevalence of poor sleep quality was higher in participants who were older than 40 years, had less education, smoked tobacco, had anxiety, and had a chronic disease (p < 0.05 for all comparisons). After adjustment for confounding, a logistic regression model indicated that poor sleep was associated with advanced age, smoking, anxiety, cardiovascular and cerebrovascular diseases, respiratory diseases, and other chronic diseases (p < 0.05 for all comparisons). In addition, compared to women who were premenopausal, the naturally postmenopausal women (OR 1.675, 95% CI 1.44–1.94) and induced menopausal women (OR 2.26, 95% CI 1.81–2.82) were more likely to report poor sleep. Conclusion The prevalence of poor sleep among individuals who lived in the Songjiang District of Shanghai and were aged 20 to 74 years was remarkably lower than in the general population of China. Poor sleep was generally more common in middle-aged and elderly residents and in those suffering from anxiety and chronic diseases. Regular exercise, anxiety relieving, and treatment improvement of different chronic diseases may help sleep better.
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Vol.:(0123456789)
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Quality of Life Research (2020) 29:1055–1064
https://doi.org/10.1007/s11136-019-02371-x
Sleep quality ofShanghai residents: population‑based cross‑sectional
study
WenjunWu1· YonggenJiang2· NaWang1· MeiyingZhu2· XingLiu1· FengJiang1· GenmingZhao1· QiZhao1
Accepted: 19 November 2019 / Published online: 28 November 2019
© Springer Nature Switzerland AG 2019
Abstract
Objective To estimate the prevalence of poor sleep and its risk factors for adults living in a suburban area of Shanghai with
rapid urbanization.
Methods A total of 37,545 residents who were aged 20 to 74years and from the “Peak Program,” a community-based natural
population cohort study, were included. Data on demographics, lifestyle, and physical health-related factors were collected
using a face-to-face questionnaire interview. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI),
and poor sleep was defined as a PSQI score above 7.
Results The overall mean of PSQI score was 3.69 ± 2.57 while the prevalence of poor sleep was 8.3%. The prevalence of
poor sleep quality was higher in participants who were older than 40years, had less education, smoked tobacco, had anxi-
ety, and had a chronic disease (p < 0.05 for all comparisons). After adjustment for confounding, a logistic regression model
indicated that poor sleep was associated with advanced age, smoking, anxiety, cardiovascular and cerebrovascular diseases,
respiratory diseases, and other chronic diseases (p < 0.05 for all comparisons). In addition, compared to women who were
premenopausal, the naturally postmenopausal women (OR 1.675, 95% CI 1.44–1.94) and induced menopausal women (OR
2.26, 95% CI 1.81–2.82) were more likely to report poor sleep.
Conclusion The prevalence of poor sleep among individuals who lived in the Songjiang District of Shanghai and were aged
20 to 74years was remarkably lower than in the general population of China. Poor sleep was generally more common in
middle-aged and elderly residents and in those suffering from anxiety and chronic diseases. Regular exercise, anxiety reliev-
ing, and treatment improvement of different chronic diseases may help sleep better.
Keywords Sleep quality· The Pittsburgh sleep quality index· Cross-sectional study
Introduction
The symptoms of poor sleep include complaints of diffi-
culty initiating sleep, difficulty maintaining sleep, waking
up too early, or having chronic nonrestorative sleep or per-
sistently poor-quality sleep [1, 2]. Adequate sleep is impor-
tant for good health, and people with poor sleep are more
likely to experience physical and psychological problems,
such as headaches, cognitive impairment, workplace errors,
mood disorders, and even an increased risk of death [36].
However, existing epidemiological surveys indicate that
about 30 to 40% of adults in the general population chroni-
cally suffer from at least one sleep disorder symptom and
that about 9 to 15% who have chronic symptoms report day-
time consequences [7].
The prevalence of poor sleep varies according to the
assessment criteria and target population [2, 79]. In 1989,
Buysse etal. proposed the Pittsburgh Sleep Quality Index
(PSQI) to evaluate the sleep quality of adults and determined
the test–retest reliability and validity of this instrument [10].
Since then, there have been numerous studies using PSQI
to assess the quality of sleep in various populations (e.g.,
college students, the elderly, pregnant women, patients with
chronic diseases, and civil servants) [1113]. However,
researchers used different standard PSQI scores for evaluat-
ing the quality of sleep. Buysse etal. considered a global
PSQI score greater than 5 yielded a diagnostic sensitivity of
* Qi Zhao
zhaoqi@shmu.edu.cn
1 Department ofEpidemiology, School ofPublic Health,
Fudan University, 130 DongAn Road, Shanghai, China
2 Songjiang District Center forDisease Control
andPrevention, Shanghai, China
Content courtesy of Springer Nature, terms of use apply. Rights reserved.
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Background Sleep quality has been widely studied among western countries. However, there is limited population-based evidence on insomnia in Chinese adult populations, especially in middle-aged and older adults. The aims of present study are to (1) examine the prevalence of poor sleep among Chinese middle-age and older adults, (2) compare the Pittsburgh Sleep Quality Index (PSQI) seven domain scores across different physical health statuses, (3) explore factors associated with insomnia. MethodsA cross-sectional survey was conducted using a multi-instrument questionnaire. In total, 1563 residents aged 45 or older in the community were interviewed. The Chinese version of the PSQI was used to assess sleep quality while poor sleep was defined as a total PSQI score >5. Socio-demographic, lifestyle and physical health data were also collected. ResultsThe prevalence of poor sleep among adults aged over 45 years was 20.67 %. Clusters logistic regression analysis identified that migrant workers, single marital status, lower education level, no physical exercise, illness within 2 weeks, and a higher total number of chronic diseases contribute to increased risk of poor sleep (P < 0.05). Among three clusters, physical health has the biggest independent contribution on sleep quality. Conclusions Our results indicated that poor sleep was common in middle-aged and older adults. It was associated with identity of migrant worker, education level, exercise, illness within 2 weeks and number of chronic disease. Being ill within 2 weeks and having more chronic diseases were the major physical health-related factors contributing to poor sleep in the middle-aged and older people. Physical health may be a major determinant in sleep quality.
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Rapid urbanization created unique urban environment with a characteristic of dramatic modification of land cover, consequently causing profound perturbations in the transport and fate of pollutants in urban ecosystem. Taking a hyper-urbanization city (Shanghai) as an example to reveal the influence of urbanization development on pollutant footprint, this study reconstructed and compared historical evolutions of elemental carbon (EC) and polycyclic aromatic hydrocarbons (PAHs) based on two lake sediment cores (DSL: Dianshan Lake; LXL: Luxun Lake) from early- and newly-urbanized areas, respectively. Historical fluxes of EC and total PAH (Σ16PAHs) showed similar and sharply fluctuant increases occurring after the 1950s in the DSL core later than the LXL core after the 1900s. In modern times (after 2000), the mean fluxes of EC and Σ16PAHs in the LXL core were 2.68- and 1.38-fold greater than those in the DSL core, respectively, indicating the stronger influence from more intensive human activities and longer industrial history in early urbanized area. Based on the significant correlations among socioeconomic factors with EC and Σ16PAH fluxes, the extended STIRPAT (stochastic impacts by regression on population, affluence and technology) models were successfully constructed, revealing that significance of these driving factors were in the order of population > the proportion of heavy industry > coal consumption > gross domestic product (GDP) per capita > vehicle amount. In general, the obvious discrepancy in historical stage and intensity of sedimentary EC and PAH accumulations implied that some newly fast-developing cities still have a chance to adjust urban development strategy to avoid more serious pollution.
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University students are especially vulnerable to poor sleep quality. The aim of this study was to assess students' sleep hygiene awareness and sleep hygiene practices, and evaluate their sleep quality. The association of sleep quality with sleep hygiene awareness and practice was also explored. The median sleep quality score was 7; scores more than 5 indicate poor sleep quality. Hence, a large proportion of Kuwait University students experience a suboptimal level of overall sleep quality according to the Pittsburgh Sleep Quality Index criteria. Sleep hygiene knowledge among university students was relatively inadequate. Most respondents (60.9%) failed to recognize that taking a nap during daytime might be disruptive to sleep. Sleep quality was strongly correlated with sleep hygiene practice (Spearman rank correlation, rs = 0.267, P < .001) but not with sleep hygiene knowledge. Medical students showed poorer sleep hygiene awareness and poor sleep quality compared with students from other universities. Logistic regression analysis showed that female sex (adjusted odds ratio [OR] = 1.8, P < .001), college (OR = 2.2, P < .001), grade point average (OR = 2.8, P = .023), and sleep hygiene practice score were independently associated with sleep quality after adjusting for confounders. In conclusion, a large proportion of Kuwait University students experience poor sleep quality. Therefore, the development of sleep hygiene education programs as an intervention and prevention strategy is recommended. This will improve students' knowledge on the importance of adopting healthy sleep hygiene practices for better sleep quality and enhanced academic performance.
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Purpose of review: Neurologists, along with all health care providers, commonly encounter patients with insomnia, which is a condition that impacts patients' underlying neurologic conditions in a bidirectional manner. While chronic insomnia is one of the most common sleep disturbances, only a small proportion of individuals with this condition discuss their sleep problems with their providers. When insomnia is described, it is more often in relationship to another medical problem, as opposed to an independent condition. In neurology practice, multiple factors including pain, movement disorders, sleep apnea, and medications that act on the central nervous system often contribute to insomnia. An all-inclusive approach is necessary when evaluating sleep problems in patients with insomnia. Recent findings: The US Food and Drug Administration (FDA) has approved several medications for the treatment of insomnia that target specific receptor systems in the brain and incorporate several unique pharmacodynamic and pharmacokinetic profiles that can represent customized therapy for specific insomnia phenotypes. FDA-approved medications for insomnia include γ-aminobutyric acid (GABA)-modulating benzodiazepine receptor agonists, a melatonin receptor agonist, a histamine receptor antagonist, and the newest approved option, a hypocretin (orexin) receptor antagonist. Summary: This article provides an evidence-based multidisciplinary approach to the treatment of insomnia, highlighting the rationale and utility of cognitive-behavioral therapy and pharmacologic interventions. Neurologists should be proactive in assessing the impact of underlying comorbidities on insomnia, particularly in the setting of psychiatric conditions such as depression, sleep disorders such as circadian rhythm disorders, and medical problems such as nocturia.
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Objective: To systematically evaluate the influencing factors on quality of sleep among community elderly population aged ≥60 years in China. Methods: Literature review was conducted using databases of PubMed, EMbase, CBM, CNKI and Wanfang to collect data regarding influencing factors on quality of sleep. Both qualitative and quantitative analysis were performed to pool the eligible studies. Results: Sixteen cross-sectional studies were included. Data from both qualitative and quantitative analysis showed that the elderly population who had ever married (OR=0.72, 95%CI: 0.52-0.98) or lived with other people (OR=0.78, 95%CI: 0.70-0.87) had better quality of sleep but it was worse when with chronic diseases (OR=2.24, 95%CI: 1.39-3.61). The effects of age and sex on the quality of sleep in the elderly was not yet conclusive. Studies on life style, social support and psychological factors appeared scarce. Conclusion: The protective factors on quality of sleep among community elderly population aged ≥60 years in China appeared as: ever had married or lived with others while chronic diseases were risk factors in reducing the quality of sleep.