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. 2023 Dec 19;23(1):875.
doi: 10.1186/s12877-023-04579-6.

Associations of daytime napping and nighttime sleep quality with depressive symptoms in older Chinese: the Guangzhou biobank cohort study

Weisen Zhang #  1 , Baijing Zhou #  1   2 , Chaoqiang Jiang  1 , Yali Jin  1 , Tong Zhu  1 , Feng Zhu  1 , Kar Keung Cheng  3 , Tai Hing Lam  4 , Lin Xu  5
Affiliations

Associations of daytime napping and nighttime sleep quality with depressive symptoms in older Chinese: the Guangzhou biobank cohort study

Weisen Zhang et al. BMC Geriatr. .

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.

Keywords: Daytime napping; Depressive symptoms; Guangzhou biobank cohort study; Nighttime sleep quality; Older people.

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Conflict of interest statement

The authors declare no competing interests.

References

    1. Ferrari AJ, Charlson FJ, Norman RE, Patten SB, Freedman G, Murray CJ, Vos T, Whiteford HA. Burden of depressive disorders by country, sex, age, and year: findings from the global burden of disease study 2010. PLoS Med. 2013;10(11):e1001547. doi: 10.1371/journal.pmed.1001547. - DOI - PMC - PubMed
    1. World Health Organization . Depression and other common mental disorders: global health estimates. 2017.
    1. Ferrari AJ, Somerville AJ, Baxter AJ, Norman R, Patten SB, Vos T, Whiteford HA. Global variation in the prevalence and incidence of major depressive disorder: a systematic review of the epidemiological literature. Psychol Med. 2013;43(3):471–481. doi: 10.1017/S0033291712001511. - DOI - PubMed
    1. Yu B, Gu Y, Bao X, Meng G, Wu H, Zhang Q, Liu L, Sun S, Wang X, Zhou M, et al. Distinct associations of computer/mobile devices use and TV watching with depressive symptoms in adults: a large population study in China. Depress Anxiety. 2019;36(9):879–886. doi: 10.1002/da.22932. - DOI - PubMed
    1. Bao YP, Han Y, Ma J, Wang RJ, Shi L, Wang TY, He J, Yue JL, Shi J, Tang XD, et al. Cooccurrence and bidirectional prediction of sleep disturbances and depression in older adults: Meta-analysis and systematic review. Neurosci Biobehav Rev. 2017;75:257–273. doi: 10.1016/j.neubiorev.2017.01.032. - DOI - PubMed

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