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Sociodemographic predictors of the association between self-reported sleep duration and depression

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Sociodemographic predictors of the association between self-reported sleep duration and depression. / Al Balushi, Mitha; Ahmad, Amar; Al Balushi, Sara et al.
In: PLOS Global Public Health, Vol. 4, No. 6, e0003255, 12.06.2024.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Al Balushi, M, Ahmad, A, Al Balushi, S, Javaid, S, Al-Maskari, F, Abdulle, A, Ali, R & Vo, TV (ed.) 2024, 'Sociodemographic predictors of the association between self-reported sleep duration and depression', PLOS Global Public Health, vol. 4, no. 6, e0003255. https://doi.org/10.1371/journal.pgph.0003255

APA

Al Balushi, M., Ahmad, A., Al Balushi, S., Javaid, S., Al-Maskari, F., Abdulle, A., Ali, R., & Vo, T. V. (Ed.) (2024). Sociodemographic predictors of the association between self-reported sleep duration and depression. PLOS Global Public Health, 4(6), Article e0003255. https://doi.org/10.1371/journal.pgph.0003255

Vancouver

Al Balushi M, Ahmad A, Al Balushi S, Javaid S, Al-Maskari F, Abdulle A et al. Sociodemographic predictors of the association between self-reported sleep duration and depression. PLOS Global Public Health. 2024 Jun 12;4(6):e0003255. doi: 10.1371/journal.pgph.0003255

Author

Al Balushi, Mitha ; Ahmad, Amar ; Al Balushi, Sara et al. / Sociodemographic predictors of the association between self-reported sleep duration and depression. In: PLOS Global Public Health. 2024 ; Vol. 4, No. 6.

Bibtex

@article{3a901da826134faab873d6794c18cd73,
title = "Sociodemographic predictors of the association between self-reported sleep duration and depression",
abstract = "A growing interest has been recently reported in exploring sleep duration within psychology context in particular to its relation to some mental chronic diseases such as depression. The aim of this study is to investigate the association between self-reported sleep hours as an outcome and self-perceived depression among Emirati adults, after adjusting for sociodemographic factors such as age, gender, marital status, and employment status. We performed a cross-sectional analysis using 11,455 participants baseline data of the UAE Healthy Future Study (UAEHFS). Univariate and multivariate logistic regression models were performed with self-reported sleep hours as an outcome. The predictors were the self-reported depression by measuring the PHQ-8 score, sociodemographic factors (age, gender, marital status, and employment status) Odds ratios with 95% confidence intervals (CI) were reported. In a sensitivity analysis, a multivariate imputation by chained equations (MICE) procedure was applied with classification and Regression Trees (CART) to impute missing values. Overall, 11,455 participants were included in the final analysis of this study. Participants{\textquoteright} median age was 32.0 years (Interquartile-Range: 24.0, 39.0). There were 6,217 (54.3%) males included in this study. In total, 4,488 (63.6%) of the participants reported sleep duration of more than 7 hours. Statistically significant negative association was observed between the total PHQ-8 score as a measure for depression and binarized self-reported sleep, OR = 0.961 (95% CI: 0.948, 0.974). For one unit increase in age and BMI, the odds ratio of reporting shorter sleep was 0.979 (95% CI: 0.969, 0.990) and 0.987 (95% CI: 0.977, 0.998), respectively. The study findings indicate a correlation between self-reported depression and an increased probability of individuals reporting shorter self-perceived sleep durations especially when considering the sociodemographic factors as predictors. There was a variation in the effect of depression on sleep duration among different study groups. In particular, the association between reported sleep duration and reported depression, students and unemployed individuals have reported longer sleep hours as compared to employed participants. Also, married individuals reported a higher percentage of longer sleep duration as compared to single and unmarried ones when examined reported depression as a predictor to sleep duration. However, there was no gender differences in self-perceived sleep duration when associated with reported depression.",
author = "{Al Balushi}, Mitha and Amar Ahmad and {Al Balushi}, Sara and Sayed Javaid and Fatma Al-Maskari and Abdishakur Abdulle and Raghib Ali and Vo, {Thang Van}",
year = "2024",
month = jun,
day = "12",
doi = "10.1371/journal.pgph.0003255",
language = "English",
volume = "4",
journal = "PLOS Global Public Health",
issn = "2767-3375",
publisher = "Public Library of Science",
number = "6",

}

RIS

TY - JOUR

T1 - Sociodemographic predictors of the association between self-reported sleep duration and depression

AU - Al Balushi, Mitha

AU - Ahmad, Amar

AU - Al Balushi, Sara

AU - Javaid, Sayed

AU - Al-Maskari, Fatma

AU - Abdulle, Abdishakur

AU - Ali, Raghib

A2 - Vo, Thang Van

PY - 2024/6/12

Y1 - 2024/6/12

N2 - A growing interest has been recently reported in exploring sleep duration within psychology context in particular to its relation to some mental chronic diseases such as depression. The aim of this study is to investigate the association between self-reported sleep hours as an outcome and self-perceived depression among Emirati adults, after adjusting for sociodemographic factors such as age, gender, marital status, and employment status. We performed a cross-sectional analysis using 11,455 participants baseline data of the UAE Healthy Future Study (UAEHFS). Univariate and multivariate logistic regression models were performed with self-reported sleep hours as an outcome. The predictors were the self-reported depression by measuring the PHQ-8 score, sociodemographic factors (age, gender, marital status, and employment status) Odds ratios with 95% confidence intervals (CI) were reported. In a sensitivity analysis, a multivariate imputation by chained equations (MICE) procedure was applied with classification and Regression Trees (CART) to impute missing values. Overall, 11,455 participants were included in the final analysis of this study. Participants’ median age was 32.0 years (Interquartile-Range: 24.0, 39.0). There were 6,217 (54.3%) males included in this study. In total, 4,488 (63.6%) of the participants reported sleep duration of more than 7 hours. Statistically significant negative association was observed between the total PHQ-8 score as a measure for depression and binarized self-reported sleep, OR = 0.961 (95% CI: 0.948, 0.974). For one unit increase in age and BMI, the odds ratio of reporting shorter sleep was 0.979 (95% CI: 0.969, 0.990) and 0.987 (95% CI: 0.977, 0.998), respectively. The study findings indicate a correlation between self-reported depression and an increased probability of individuals reporting shorter self-perceived sleep durations especially when considering the sociodemographic factors as predictors. There was a variation in the effect of depression on sleep duration among different study groups. In particular, the association between reported sleep duration and reported depression, students and unemployed individuals have reported longer sleep hours as compared to employed participants. Also, married individuals reported a higher percentage of longer sleep duration as compared to single and unmarried ones when examined reported depression as a predictor to sleep duration. However, there was no gender differences in self-perceived sleep duration when associated with reported depression.

AB - A growing interest has been recently reported in exploring sleep duration within psychology context in particular to its relation to some mental chronic diseases such as depression. The aim of this study is to investigate the association between self-reported sleep hours as an outcome and self-perceived depression among Emirati adults, after adjusting for sociodemographic factors such as age, gender, marital status, and employment status. We performed a cross-sectional analysis using 11,455 participants baseline data of the UAE Healthy Future Study (UAEHFS). Univariate and multivariate logistic regression models were performed with self-reported sleep hours as an outcome. The predictors were the self-reported depression by measuring the PHQ-8 score, sociodemographic factors (age, gender, marital status, and employment status) Odds ratios with 95% confidence intervals (CI) were reported. In a sensitivity analysis, a multivariate imputation by chained equations (MICE) procedure was applied with classification and Regression Trees (CART) to impute missing values. Overall, 11,455 participants were included in the final analysis of this study. Participants’ median age was 32.0 years (Interquartile-Range: 24.0, 39.0). There were 6,217 (54.3%) males included in this study. In total, 4,488 (63.6%) of the participants reported sleep duration of more than 7 hours. Statistically significant negative association was observed between the total PHQ-8 score as a measure for depression and binarized self-reported sleep, OR = 0.961 (95% CI: 0.948, 0.974). For one unit increase in age and BMI, the odds ratio of reporting shorter sleep was 0.979 (95% CI: 0.969, 0.990) and 0.987 (95% CI: 0.977, 0.998), respectively. The study findings indicate a correlation between self-reported depression and an increased probability of individuals reporting shorter self-perceived sleep durations especially when considering the sociodemographic factors as predictors. There was a variation in the effect of depression on sleep duration among different study groups. In particular, the association between reported sleep duration and reported depression, students and unemployed individuals have reported longer sleep hours as compared to employed participants. Also, married individuals reported a higher percentage of longer sleep duration as compared to single and unmarried ones when examined reported depression as a predictor to sleep duration. However, there was no gender differences in self-perceived sleep duration when associated with reported depression.

U2 - 10.1371/journal.pgph.0003255

DO - 10.1371/journal.pgph.0003255

M3 - Journal article

VL - 4

JO - PLOS Global Public Health

JF - PLOS Global Public Health

SN - 2767-3375

IS - 6

M1 - e0003255

ER -