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      Association between sleep duration and psychological resilience in a population-based survey: A cross-sectional study

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          Abstract

          BACKGROUND:

          The study aimed to find out the association between sleep duration and psychological resilience in a population-based survey.

          MATERIALS AND METHODS:

          A cross-sectional survey was conducted in August 2022, employing a cluster random sampling method to recruit community residents at Futian District in Shenzhen, China. A total of 2,445 participants aged 18 years and over were included in the study. The Brief Resilience Scale (BRS) was utilized to measure psychological resilience, and sleep duration was classified according to the American Heart Association’s sleep duration categories. Multivariable linear regression was used to analyze the relationship between psychological resilience and sleep duration after adjusting for gender, age, smoking status, physical exercise frequency, body mass index (BMI), and education level.

          RESULTS:

          The participants displayed moderate levels of psychological resilience, with a mean resilience score of 3.46 (standard deviation [SD] = 0.62) and a mean sleep duration of 7.04 h (SD = 1.10). After adjusting for covariates, longer sleep duration was associated with higher psychological resilience (β = 0.047, P < 0.05), indicating that participants with a long sleep duration had higher resilience scores than those with a short sleep duration.

          CONCLUSION:

          Longer sleep duration is positively associated with higher psychological resilience in community residents. These findings suggest that improving sleep duration may be a promising approach to enhancing psychological resilience, preventing psychological problems, and promoting overall physical and mental health development.

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          Most cited references46

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          Insomnia as a predictor of depression: a meta-analytic evaluation of longitudinal epidemiological studies.

          In many patients with depression, symptoms of insomnia herald the onset of the disorder and may persist into remission or recovery, even after adequate treatment. Several studies have raised the question whether insomniac symptoms may constitute an independent clinical predictor of depression. This meta-analysis is aimed at evaluating quantitatively if insomnia constitutes a predictor of depression. PubMed, Medline, PsycInfo, and PsycArticles databases were searched from 1980 until 2010 to identify longitudinal epidemiological studies simultaneously investigating insomniac complaints and depressed psychopathology. Effects were summarized using the logarithms of the odds ratios for insomnia at baseline to predict depression at follow-up. Studies were pooled with both fixed- and random-effects meta-analytic models in order to evaluate the concordance. Heterogeneity test and sensitivity analysis were computed. Twenty-one studies met inclusion criteria. Considering all studies together, heterogeneity was found. The random-effects model showed an overall odds ratio for insomnia to predict depression of 2.60 (confidence interval [CI]: 1.98-3.42). When the analysis was adjusted for outliers, the studies were not longer heterogeneous. The fixed-effects model showed an overall odds ratio of 2.10 (CI: 1.86-2.38). The main limit is that included studies did not always consider the role of other intervening variables. Non-depressed people with insomnia have a twofold risk to develop depression, compared to people with no sleep difficulties. Thus, early treatment programs for insomnia might reduce the risk for developing depression in the general population and be considered a helpful general preventive strategy in the area of mental health care. Copyright © 2011 Elsevier B.V. All rights reserved.
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            Screen time and sleep among school-aged children and adolescents: a systematic literature review.

            We systematically examined and updated the scientific literature on the association between screen time (e.g., television, computers, video games, and mobile devices) and sleep outcomes among school-aged children and adolescents. We reviewed 67 studies published from 1999 to early 2014. We found that screen time is adversely associated with sleep outcomes (primarily shortened duration and delayed timing) in 90% of studies. Some of the results varied by type of screen exposure, age of participant, gender, and day of the week. While the evidence regarding the association between screen time and sleep is consistent, we discuss limitations of the current studies: 1) causal association not confirmed; 2) measurement error (of both screen time exposure and sleep measures); 3) limited data on simultaneous use of multiple screens, characteristics and content of screens used. Youth should be advised to limit or reduce screen time exposure, especially before or during bedtime hours to minimize any harmful effects of screen time on sleep and well-being. Future research should better account for the methodological limitations of the extant studies, and seek to better understand the magnitude and mechanisms of the association. These steps will help the development and implementation of policies or interventions related to screen time among youth.
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              The sleep-deprived human brain

              How does sleep deprivation affect the human brain? Walker and colleagues review neuroimaging studies on the consequences of sleep deprivation on cognition and emotion — with specific focuses on attention and working memory, positive and negative emotion, and hippocampal learning — and the mechanisms underlying these effects.
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                Author and article information

                Journal
                J Educ Health Promot
                J Educ Health Promot
                JEHP
                J Edu Health Promot
                Journal of Education and Health Promotion
                Wolters Kluwer - Medknow (India )
                2277-9531
                2319-6440
                2024
                26 February 2024
                : 13
                : 43
                Affiliations
                [1] Department of Epidemiology, School of Public Health (Shenzhen), Sun Yat-Sen University, Shenzhen, China
                [1 ] Department of Health Education, Futian Institute for Health Education and Health Promotion, Shenzhen, China
                Author notes
                Address for correspondence: Prof. Yiqiang Zhan, Department of Epidemiology, School of Public Health (Shenzhen), Sun Yat-Sen University, Shenzhen, China. E-mail: zhanyq8@ 123456mail.sysu.edu.cn Dr. Nan Zheng, Futian Institute for Health Education and Health Promotion, Shenzhen, China. E-mail: ftjkjy@ 123456163.com
                [#]

                Yanan Zhu, Yasi Zhang and Mansi Zhuang contributed equally to this work.

                Article
                JEHP-13-43
                10.4103/jehp.jehp_832_23
                10977620
                38549653
                e733a880-5c3a-4e28-a309-c44af461946a
                Copyright: © 2024 Journal of Education and Health Promotion

                This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.

                History
                : 13 June 2023
                : 05 August 2023
                Categories
                Original Article

                cross-sectional studies,epidemiology,psychological resilience,sleep duration

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