The relationship between lifestyle and the risk of depression among people living with someone who needs care: The Yamagata Cohort Study

To reduce the risk of depression among family caregivers, providing them with appropriate social and financial support is crucial. Geriatr Gerontol Int 2025; 25: 1503-1510.

Authors

Institutions

Publication Details

Journal
Geriatrics and gerontology international/Geriatrics & gerontology international
Published
2025-09-20
DOI
https://doi.org/10.1111/ggi.70184
Citations
1
Primary Topic
Health disparities and outcomes
Type
article
Field-Weighted Citation Impact
2.17
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The relationship between lifestyle and the risk of depression among people living with someone who needs care: The Yamagata Cohort Study

Kaori Sakurada, Tsuneo Konta, Chisaki Uno, Yoko Ishida et al.
1 citations
Geriatrics and gerontology international/Geriatrics & gerontology international
Health disparities and outcomes
2.17
article

The relationship between lifestyle and the risk of depression among people living with someone who needs care: The Yamagata Cohort Study

Kaori Sakurada, Tsuneo Konta, Chisaki Uno, Yoko Ishida, Hiroshi Inaba
article en
1 citations

Abstract

To reduce the risk of depression among family caregivers, providing them with appropriate social and financial support is crucial. Geriatr Gerontol Int 2025; 25: 1503-1510.

Geriatrics and gerontology international/Geriatrics & gerontology internationalVol. 25(11)
Yamagata University (JP)
Openalex Percentile: Top 11%
Health disparities and outcomes
2.17
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.