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Differential Effects of Sleep Disturbance and Malnutrition on Late-Life Depression Among Community-Dwelling Older Adults

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dc.contributor.authorHwang, G-
dc.contributor.authorCho, YH-
dc.contributor.authorKim, EJ-
dc.contributor.authorWoang, JW-
dc.contributor.authorHong, CH-
dc.contributor.authorRoh, HW-
dc.contributor.authorSon, SJ-
dc.date.accessioned2023-02-21T04:33:41Z-
dc.date.available2023-02-21T04:33:41Z-
dc.date.issued2022-
dc.identifier.urihttp://repository.ajou.ac.kr/handle/201003/24690-
dc.description.abstractBACKGROUND: Late-life depression is a complex phenomenon that cannot be fully understood simply as depression occurring in older adults, prompting researchers to suggest that it represents a component of geriatric syndrome. Given the inherent complexity and multifactorial nature of geriatric syndrome, understanding the interactions between the comorbid conditions involved is important for establishing appropriate preventive strategies. While sleep disturbance and malnutrition are common manifestations of geriatric syndrome, they have also been regarded as indicators of late-life depression. However, the differential effects of sleep disturbance and malnutrition on late-life depression and their interrelationships remain unclear. OBJECTIVE: The objective of this study was to examine the effects of sleep disturbance and malnutrition on depression and the interactions between them among community-dwelling older adults. METHODS: Sleep disturbance and malnutrition in 1,029 community-dwelling older adults from Suwon Geriatric Mental Health Center were assessed using the Pittsburgh Sleep Quality Index (PSQI) and Mini Nutritional Assessment (MNA), respectively. The Korean version of the Short Form of the Geriatric Depression Scale (SGDS-K) was used to evaluate depressive symptoms. Sociodemographic parameters were recorded. A multiple linear regression analysis was conducted to examine the effects of sleep and nutrition on depressive symptoms after adjusting for covariates. The effect size and conditional effects of sleep disturbance and malnutrition on late-life depression were assessed using Cohen's f(2) values and the Johnson-Neyman technique, respectively. RESULTS: After possible confounders were adjusted, the SGDS-K score was positively associated with the PSQI score (standardized beta = 0.166, P < 0.001) and negatively associated with the MNA score (standardized beta = -0.480, P < 0.001). The local effect size of the associations was small for PSQI and medium for MNA. A significant interaction was observed between the PSQI and MNA scores. The result of the Johnson-Neyman technique indicated that the influence of PSQI on SGDS-K became weaker and insignificant as nutritional status worsened. However, the association between the MNA and SGDS-K scores was significant regardless of PSQI. CONCLUSION: Both sleep disturbance and malnutrition were significantly associated with late-life depression, although malnutrition may be more critically associated with depression than sleep disturbance in community-dwelling older adults.-
dc.language.isoen-
dc.titleDifferential Effects of Sleep Disturbance and Malnutrition on Late-Life Depression Among Community-Dwelling Older Adults-
dc.typeArticle-
dc.identifier.pmid35599763-
dc.identifier.urlhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9122027-
dc.subject.keywordconditional effect-
dc.subject.keywordinteraction-
dc.subject.keywordlate-life depression-
dc.subject.keywordmalnutrition-
dc.subject.keywordsleep disturbance-
dc.contributor.affiliatedAuthorCho, YH-
dc.contributor.affiliatedAuthorHong, CH-
dc.contributor.affiliatedAuthorRoh, HW-
dc.contributor.affiliatedAuthorSon, SJ-
dc.type.localJournal Papers-
dc.identifier.doi10.3389/fpsyt.2022.820427-
dc.citation.titleFrontiers in psychiatry-
dc.citation.volume13-
dc.citation.date2022-
dc.citation.startPage820427-
dc.citation.endPage820427-
dc.identifier.bibliographicCitationFrontiers in psychiatry, 13. : 820427-820427, 2022-
dc.identifier.eissn1664-0640-
dc.relation.journalidJ016640640-
Appears in Collections:
Journal Papers > School of Medicine / Graduate School of Medicine > Psychiatry & Behavioural Sciences
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