Evidence map›Paper›PMID 41088370›Full record

ArticleBioPsychoSocial medicine2025

Incidence of depressive symptoms and their associations with lifestyle and social support networks among community-dwelling older adults: a sex-stratified longitudinal study using the JAGES study.

Mei Amaike, Ayuka Yokoyama, Yuko Tanaka, Momoka Yamazaki, Akemi Matsuzawa, Toshiyuki Ojima, Etsuko Tadaka

Abstract read
In one paragraph

Article in BioPsychoSocial medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Exposome factors predict the association between sleep health and depression.medRxiv : the preprint server for health sciences · 2026
    Article
  2. Article
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

7 authors.

Mei Amaike, Takikawa City, Hokkaido, Japan.
Ayuka YokoyamaDepartment of Community and Public Health Nursing, Faculty of Medicine/Graduate School of Health Sciences, Hokkaido University, Sapporo, Hokkaido, Japan.
Yuko TanakaDepartment of Community and Public Health Nursing, Faculty of Medicine/Graduate School of Health Sciences, Hokkaido University, Sapporo, Hokkaido, Japan.
Momoka YamazakiDepartment of Public Health Nursing, Faculty of Medicine/Graduate School of Health Sciences, Hokkaido University, Sapporo, Hokkaido, Japan.
Akemi MatsuzawaDepartment of Pediatric Nursing, Faculty of Medicine/Graduate School of Health Sciences, Hokkaido University, Sapporo, Hokkaido, Japan.
Toshiyuki OjimaDepartment of Community Health & Preventive Medicine, Hamamatsu University School of Medicine, Hamamatsu, Shizuoka, Japan.
Etsuko TadakaDepartment of Community and Public Health Nursing, Faculty of Medicine/Graduate School of Health Sciences, Hokkaido University, Sapporo, Hokkaido, Japan. e_tadaka@pop.med.hokudai.ac.jp.

Funding

Infectious and Tropical Diseases Research Center, Health Research Institute, Ahvaz Jundishapur University of Medical Sciences 19FA1012Infectious and Tropical Diseases Research Center, Health Research Institute, Ahvaz Jundishapur University of Medical Sciences 19FA2001Infectious and Tropical Diseases Research Center, Health Research Institute, Ahvaz Jundishapur University of Medical Sciences 21FA1012Infectious and Tropical Diseases Research Center, Health Research Institute, Ahvaz Jundishapur University of Medical Sciences 22FA1010Infectious and Tropical Diseases Research Center, Health Research Institute, Ahvaz Jundishapur University of Medical Sciences 22FA2001Infectious and Tropical Diseases Research Center, Health Research Institute, Ahvaz Jundishapur University of Medical Sciences 22FG2001Infectious and Tropical Diseases Research Center, Health Research Institute, Ahvaz Jundishapur University of Medical Sciences 23FA1022Japan Society for the Promotion of Science 20H00557Japan Society for the Promotion of Science 20K10540Japan Society for the Promotion of Science 21H03153Japan Society for the Promotion of Science 21H03196Japan Society for the Promotion of Science 21K17302Japan Society for the Promotion of Science 22H00934Japan Society for the Promotion of Science 22H03299Japan Society for the Promotion of Science 22K04450Japan Society for the Promotion of Science 22K13558Japan Society for the Promotion of Science 22K17409Japan Society for the Promotion of Science 23H00449Japan Society for the Promotion of Science 23H03117
6 · The paper itself

Abstract

backgroundPrimary prevention of depressive symptoms among independent older adults is a critical public health challenge. Lifestyle factors and social support networks are increasingly recognized as pivotal determinants of mental health in this population. However, few longitudinal studies have examined these relationships, and little attention has been directed to gender-based differences. We investigated the associations between lifestyle factors and social support networks and the depressive symptoms of community-dwelling independent older adults in a sex-stratified 3-year longitudinal study.

methodsThis study used data from the Japan Gerontological Evaluation Study. Participants were functionally independent individuals aged 65 years and older. Our final analysis included data for 6,929 individuals collected between 2019 and 2022. A logistic regression analysis was conducted with depressive symptoms in 2022 as the dependent variable. Lifestyle factors and social support networks were treated as independent variables, with age, chronic diseases, and household income included as covariates. The effects of interactions between lifestyle factors and social support networks on depressive symptoms were also analyzed.

resultsThe prevalence of depressive symptoms was 10.7% in men and 11.6% in women in the 3-year follow-up. The incidence rate of newly developed depressive symptoms (per 1,000 person-years) was 35.6 for men and 38.8 for women. Sex-based differences were found in lifestyle and social support network factors associated with depressive symptoms. In men, walking for more than 30 min per day, insomnia, and emotional support were significantly associated with the risk for depressive symptoms. In women, walking for more than 30 min per day, insomnia, and instrumental support were significantly associated with the risk for depressive symptoms. No interaction effects between lifestyle factors and social support networks on depressive symptoms were observed in either men or women.

conclusionThese findings underscore the importance of preventing depressive symptoms among older adults, particularly through the lens of gender-specific differences in lifestyle factors and social support networks associated with depressive symptoms. This study highlights the potential for developing targeted and effective primary prevention strategies by identifying modifiable determinants of depressive symptoms.

Indexed as

Community-dwelling older adultsDepressive symptomsLifestylePrimary preventionSocial support networks

Identifiers

PMID41088370
PMCPMC12522889

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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.