Evidence map›Paper›PMID 39090560›Full record

ArticleBMC geriatrics2024

The factors related to depressive symptoms in urban older adults in South Korea: a study based on the Seoul Aging Survey.

Changwoo Shon, Junghyun Kim

Abstract read
In one paragraph

Article in BMC geriatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Changwoo ShonGraduate School of Public Health, Inje University, Busanjin-gu, Busan, 47392, Korea.
Junghyun KimSchool of Rehabilitation and Welfare, Hankyoung National University, Pyeongtaek-si, Gyeonggi-do, 17738, Korea. kimj@hknu.ac.kr.

Funding

Inje University 20230041
6 · The paper itself

Abstract

purposeThis study aims to comprehensively examine the determinants of depression among urban older adults in Seoul, utilizing the social-ecological model to address multifaceted influences.

methodsA comprehensive analysis was conducted using data from the 2022 Seoul Aging Survey, which surveyed 2,914 individuals aged 65 and above. A multiple logistic regression analysis was performed to identify factors contributing to depressive symptoms, including socio-demographic characteristics, health behaviors and status, research accessibility, social support, and environmental influences.

resultsThis study revealed that poor subjective health (OR = 1.47) and the presence of multiple chronic diseases (OR = 1.59) significantly increased the risk of depressive symptoms among urban older adults. From a social support standpoint, living alone was associated with a higher risk of depression (OR = 1.66), low food security (OR = 2.56), and low digital competency (OR = 2.70) were all significant predictors of depressive symptoms. Additionally, a lack of engagement with cultural facilities (OR = 2.15) was identified as a critical environmental factor contributing to depression.

conclusionsThe findings underscore the need for comprehensive policy and practical interventions aimed at preventing chronic disease, enhancing social support networks, improving digital literacy, ensuring food security, and expanding access to healthcare and cultural facilities. Such measures are crucial in mitigating depression among urban older adults, thereby enhancing their overall well-being and quality of life.

Indexed as

DepressionSocial SupportUrban PopulationAgedAged, 80 and overCross-Sectional StudiesFemaleHealth SurveysHumansMaleRepublic of KoreaRisk FactorsSeoulCultural facilityDepressionHealth behaviorsSocial-ecological modelSocial supportUrban older adults

Identifiers

PMID39090560
PMCPMC11293004

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.