“For the next generation” drives communities: generative concern and community participation among middle-aged and older adults

In Japan, rapid population aging and the weakening of local communities have heightened the importance of promoting community participation among middle-aged and older adults. To this end, it is necessary to examine the psychological factors that facilitate such engagement. The present study aimed to investigate the association between generative concern and community participation, specifically focusing on involvement in community activities and interactions with neighbors. An online survey was conducted with middle-aged and older Japanese adults, and data from 540 participants (aged 50–87) were analyzed. Results from generalized linear models indicated that individuals with higher levels of generative concern reported greater involvement in community activities and more frequent interactions with neighbors, even after controlling for loneliness and demographic variables. Furthermore, exploratory analyses focusing on the interaction between generative concern and employment status revealed that the association between generative concern and community participation was particularly strong among participants who were not employed. These findings suggest that generative concern may serve as a psychological resource that promotes community participation among middle-aged and older adults in Japan, compensating for the loss of social roles that often accompanies retirement.

Authors

Institutions

Publication Details

Journal
Cogent Gerontology
Published
2026-02-24
DOI
https://doi.org/10.1080/28324897.2026.2636876
Primary Topic
Aging and Gerontology Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

“For the next generation” drives communities: generative concern and community participation among middle-aged and older adults

Yuho Shimizu
Cogent Gerontology
Aging and Gerontology Research
article

“For the next generation” drives communities: generative concern and community participation among middle-aged and older adults

Yuho Shimizu
article en

Abstract

In Japan, rapid population aging and the weakening of local communities have heightened the importance of promoting community participation among middle-aged and older adults. To this end, it is necessary to examine the psychological factors that facilitate such engagement. The present study aimed to investigate the association between generative concern and community participation, specifically focusing on involvement in community activities and interactions with neighbors. An online survey was conducted with middle-aged and older Japanese adults, and data from 540 participants (aged 50–87) were analyzed. Results from generalized linear models indicated that individuals with higher levels of generative concern reported greater involvement in community activities and more frequent interactions with neighbors, even after controlling for loneliness and demographic variables. Furthermore, exploratory analyses focusing on the interaction between generative concern and employment status revealed that the association between generative concern and community participation was particularly strong among participants who were not employed. These findings suggest that generative concern may serve as a psychological resource that promotes community participation among middle-aged and older adults in Japan, compensating for the loss of social roles that often accompanies retirement.

Cogent GerontologyVol. 5(1)
Seijo University (JP)
Reduced inequalities
Openalex Percentile: Top 61%
Aging and Gerontology Research
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.