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Associations of Daytime Napping and Nighttime Sleep Quality with Depressive Symptoms in Older Chinese: the Guangzhou Biobank Cohort Study

Overview
Journal BMC Geriatr
Publisher Biomed Central
Specialty Geriatrics
Date 2023 Dec 20
PMID 38114908
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Abstract

Background: Poor sleep quality has been linked to depression in older adults, but results of the association between daytime napping and depression remains limited and conflicting. Moreover, whether the association of daytime napping with depression varies by nighttime sleep quality is unclear. Hence, we examined the associations of daytime napping and nighttime sleep quality with depressive symptoms in older Chinese.

Methods: A total of 16,786 participants aged ≥50 from the Guangzhou Biobank Cohort Study second-round examination (2008-2012) were included in this cross-sectional study. Geriatric Depression Scale (GDS-15), Pittsburgh Sleep Quality Index (PSQI), napping and demographic data were collected by face-to-face interview using a computerized questionnaire. Logistic regression was used to calculate odds ratio (OR) of depressive symptoms for napping and sleep quality.

Results: The prevalence of depressive symptoms (GDS score > 5) and poor global sleep quality (PSQI score ≥ 6) was 5.3 and 31.9%, respectively. Compared to non-nappers, nappers showed significantly higher odds of depressive symptoms, with OR (95% confidence interval (CI)) being 1.28 (1.11-1.49). The odds of depressive symptoms for daytime napping varied by nighttime sleep quality (P for interaction = 0.04). In good-quality sleepers, compared to non-nappers, nappers had significantly higher odds of depressive symptoms, with OR (95% CI) being 1.57 (1.23-2.01), whereas no association was found in poor-quality sleepers (OR = 1.13, 0.94-1.36).

Conclusion: Napping was associated with higher odds of depressive symptoms in older people, and the association was stronger in good-quality sleepers.

Citing Articles

Frailty as a mediator between sleep quality and cognitive impairment among the rural older adults: a cross-sectional study.

Dong P, Cheng C, Yin W, Li Z, Shi Y, Gao M BMC Geriatr. 2025; 25(1):7.

PMID: 39754045 PMC: 11697922. DOI: 10.1186/s12877-024-05657-z.

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