A systematic review of the association between sleep health and stress biomarkers in children.
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ABSTRACT:
SUBMITTER: Ordway MR
PROVIDER: S-EPMC8458225 | biostudies-literature | 2021 Oct
REPOSITORIES: biostudies-literature
Publications
A systematic review of the association between sleep health and stress biomarkers in children.
Ordway Monica R MR Condon Eileen M EM Basile Ibrahim Bridget B Abel Emily A EA Funaro Melissa C MC Batten Janene J Sadler Lois S LS Redeker Nancy S NS
Sleep medicine reviews 20210501
Sleep is intimately linked with the stress response system. While the evidence for this connection has been systematically reviewed in the adult literature, to our knowledge no studies have examined this relationship in young children. Recent scientific interest in understanding the effects of adverse environments in early childhood, including an emphasis on understanding the role of sleep, highlights the importance of synthesizing the current evidence on the relationship between sleep and the s ...[more]
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Project description:BackgroundChildren with Special Health Care Needs (CSHCN) require greater attention from family caregivers as they present temporary or permanent physical, developmental, behavioral, or emotional issues. This demand for care generates overload and stress among family caregivers. So far, there is no study that gathers the available literature regarding the use of biomarkers to assess stress among caregivers of CSHCN. Hence, we aimed to synthetize and to assess the scientific evidence on biomarkers associated with stress in caregivers of CSHCN.MethodsThis systematic review and meta-analysis protocol was elaborated following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols (PRISMA-P). The search strategy will be undertaken through 7 electronic bibliographic databases: Embase, MEDLINE/PubMed, Cochrane Library, Web of Science, CINAHL, Scopus, and PsycINFO. In addition, secondary searches in other sources, such as Clinical trials.gov-NIH, The British Library, Pro Quest Dissertations Database, Google Scholar, and medRXiv will be also carried out. The reference section of the included studies will be hand searched for additional relevant studies. There will be no restriction regarding the publication dates or languages for this systematic review. Moreover, in an independently manner, 2 investigators will select studies, perform data extraction, as well as perform a critical appraisal of the risk of bias and overall quality of the selected studies, based on their designs. The heterogeneity among the studies will be assessed using the I2 statistic test. According to the results of this test, we will verify whether a meta-analysis is feasible. If feasibility is confirmed, a random-effect model analysis will be carried out. For data analysis, the calculation of the pooled effect estimates will consider a 95% CI and alpha will be set in 0.05 using the SPSS version 23.0.ResultsThis systematic review and meta-analysis will provide better insights regarding the biomarkers associated with stress in caregivers of CSHCN. Hence, consistent data and robust evidence will be provided to help practitioners and decision-makers in this area.ConclusionsTo the best of our knowledge this study, will be the first to synthetize and critically evaluate the scientific evidence on biomarkers associated with stress in caregivers of CSHCN.
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Project description:ObjectivesSleep disturbance and mental health are challenges for healthcare workers (HCWs). Especially during the COVID-19 pandemic, they experienced more severe sleep and mental health problems. However, the association between sleep disturbance and the mental health of HCWs is still controversial. This study aimed to systematically review the relationship by conducting a systematic review and meta-analysis.MethodTwo researchers retrieved the literature from Web of Science, PubMed, EMBASE, CINAHL, Psyclnfo, and Cochrane Library from the establishment of the databases until November 20, 2021. We used the New Castle-Ottawa Scale (NOS) and Agency for Healthcare Research and Quality (AHRQ) to evaluate the risk of bias in prospective research and cross-sectional research, respectively. The major exposure was HCWs' sleep disturbance, and the major outcome was mental health. The correlation coefficients (r), regression coefficients (β) and odds ratios (OR) of the included studies were integrated.ResultFifty-nine studies were included for qualitative analysis, of which 30 studies could be combined and entered into quantitative analysis. There were 23 studies during the COVID-19 pandemic among the 59 included studies. The results of the meta-analysis showed that the correlation coefficient between sleep disturbance and mental health was 0.43 (95% CI: 0.39-0.47). HCWs with sleep disturbance had a 3.74 (95% CI: 2.76-5.07) times higher risk of mental health problems than those without sleep disturbance. The correlation coefficient during the COVID-19 epidemic was 0.45 (95% CI: 0.37-0.53), while it was 0.40 (95% CI: 0.36-0.44) during the non-epidemic period. Subgroup analysis compared the OR results in epidemic and non-epidemic periods of COVID-19, which were 4.48 (95% CI: 2.75-5.07) and 3.74 (95% CI: 2.74-7.32), respectively.ConclusionSleep disturbance and mental health problems were positively correlated among HCWs. Particularly in the COVID-19 pandemic, more attention should be given to this issue.
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Project description:Study objectivesThis systematic review aimed to examine the: (1) strength of associations between prenatal sleep (ie, duration, quality, and insomnia) and psychological health (ie, depression, anxiety, and stress); and (2) moderating influence of sociodemographic characteristics (ie, maternal age, gestational age/trimester, parity, marital and socioeconomic status [SES]), body mass index (BMI), and meeting sleep recommendations.MethodsA systematic search was conducted using PubMed, PsycINFO, Web of Science, and CINHAL to identify studies with at least one sleep measure and a psychological health outcome. Effect sizes (ES) were calculated by associations between individual components of sleep and psychological health (eg, sleep quality-depression).ResultsReviewed studies (n = 32) included 14,648 participants and yielded 219 ES. ES for anxiety/stress were combined due to insufficient data to analyze individually. Average strengths of associations for sleep duration-depression (ES = .52) and sleep duration-anxiety/stress (ES = .48), sleep quality-depression (ES = .55) and sleep quality-anxiety/stress (ES = .58), and insomnia-depression (ES = .67) ranged from medium to large. Marital status, parity, BMI, and meeting sleep recommendations moderated sleep duration-depression and sleep duration-anxiety/stress. SES, gestational age/trimester, parity, and BMI moderated sleep quality-depression and sleep quality-anxiety/stress associations.ConclusionsPoor sleep quality and depression are prevalent during pregnancy and may negatively impact maternal and fetal outcomes. Moderating effects suggest that pregnant women of different BMI status and gestational age differ in their sleep habits and depression and anxiety/stress levels. Findings highlight the need to better understand the impact of these associations on maternal-fetal outcomes to inform interventions to improve sleep and psychological health.
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Project description:ImportanceDisturbed sleep represents a potentially modifiable risk factor for depression in children and youths that can be targeted in prevention programs.ObjectiveTo evaluate the association between disturbed sleep and depression in children and youths using meta-analytic methods.Data sourcesEmbase, MEDLINE, PsycINFO, Scopus, Web of Science, and ProQuest Dissertations & Theses Global were searched for articles published from 1980 to August 2019.Study selectionProspective cohort studies reporting estimates, adjusted for baseline depression, of the association between disturbed sleep and depression in 5- to 24-year-old participants from community and clinical-based samples with any comorbid diagnosis. Case series and reports, systematic reviews, meta-analyses, and treatment, theoretical, and position studies were excluded. A total of 8700 studies met the selection criteria. This study adhered to the guidelines of the Preferred Reporting Items for Systematic Reviews (PRISMA) and Meta-analyses and the Meta-analysis of Observational Studies in Epidemiology (MOOSE) statements.Data extraction and synthesisStudy screening and data extraction were conducted by 2 authors at all stages. To pool effect estimates, a fixed-effect model was used if I2 < 50%; otherwise, a random-effects model was used. The I2 statistic was used to assess heterogeneity. The risk of bias was assessed using the Research Triangle Institute Item Bank tool. Metaregression analyses were used to explore the heterogeneity associated with type of ascertainment, type of and assessment tool for disturbed sleep and depression, follow-up duration, disturbed sleep at follow-up, and age at baseline.Main outcome and measuresDisturbed sleep included sleep disturbances or insomnia. Depression included depressive disorders or dimensional constructs of depression. Covariates included age, sex, and sociodemographic variables.ResultsA total of 22 studies (including 28 895 patients) were included in the study, of which 16 (including 27 073 patients) were included in the meta-analysis. The pooled β coefficient of the association between disturbed sleep and depression was 0.11 (95% CI, 0.06-0.15; P < .001; n = 14 067; I2 = 50.8%), and the pooled odds ratio of depression in those with vs without disturbed sleep was 1.50 (95% CI, 1.13-2.00; P = .005; n = 13 006; I2 = 87.7%). Metaregression and sensitivity analyses showed no evidence that pooled estimates differed across any covariate. Substantial publication bias was found.Conclusions and relevanceThis meta-analysis found a small but statistically significant effect size indicating an association between sleep disruption and depressive symptoms in children and youths. The high prevalence of disturbed sleep implies a large cohort of vulnerable children and youths who could develop depression. Disrupted sleep should be included in multifaceted prevention programs starting in childhood.
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Project description:ObjectiveSleep deficiency and sleep disorders disproportionally affect socially disadvantaged and marginalized individuals and groups. Recent evidence suggests that stigma, a social process characterized by labeling, stereotyping, and prejudice, is associated with sleep characteristics.PurposeGuided by the Health Stigma and Discrimination Framework, the purpose of this systematic review is to describe associations between dimensions of stigma and sleep deficiency and to identify future directions for research.MethodsWe searched the OVIDPsycINFO, OVIDEMASE, OVIDMEDLINE, and CINAHL databases for empirical research studies that reported relationships between the 3 dimensions of stigma-internalized, perceived, and anticipated-and characteristics of sleep deficiency-duration, continuity/efficiency, timing, alertness/sleepiness, quality, and disorders.ResultsOf 1717 articles, 15 met our inclusion criteria. The most frequently assessed dimensions of stigma were internalized and perceived stigma. Characteristics of sleep deficiency were measured by self-report and included sleep quality, duration, trouble sleeping, and insomnia symptoms. We found consistent evidence that stigma, whether internalized, perceived, or anticipated, is associated with self-reported characteristics of sleep deficiency.ConclusionsThis evidence base can be further strengthened with prospective studies that incorporate both multidimensional measures of stigma and objective measures of sleep characteristics. We outline research implications that can clarify underlying mechanisms and more precisely define the relationships between stigma and sleep and inform interventions to address stigma, improve sleep, and reduce the health inequities that disproportionately affect individuals from socially disadvantaged and marginalized groups.
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