Empowerment Model for The Elderly and Community to Improve the Welfare of the Elderly

<ns7:p> Rapid population ageing poses significant challenges to elderly welfare, particularly in communities with limited institutional support. This study aims to develop and empirically test an empowerment model involving older people and the community to sustainably improve elderly welfare. Using a mixed-method research design, the study combines quantitative analysis of welfare outcomes with qualitative exploration of empowerment processes. Quantitative data were collected through structured questionnaires administered to 210 elderly participants involved in community-based empowerment programs. Elderly welfare was measured across physical, psychological, social, and economic dimensions. Data were analysed using descriptive statistics, paired-samples t-tests, and multiple regression. Qualitative data were obtained through in-depth interviews and focus group discussions with elderly participants, family members, and community cadres. They were analysed thematically to enrich the interpretation of the statistical findings. The statistical results indicate a significant improvement in elderly welfare following program implementation. The mean welfare score increased from 3.12 to 3.89 on a five-point scale (t = 9.46, p &lt; 0.001). Regression analysis shows that community participation (β = 0.41, p &lt; 0.001) and elderly self-efficacy (β = 0.36, p &lt; 0.01) are strong predictors of welfare improvement, explaining 52% of the variance in welfare outcomes (R <ns7:sup>2</ns7:sup> = 0.52). Qualitative findings support these results, revealing enhanced independence, stronger social networks, and increased community recognition of older people as active contributors rather than dependents. The study concludes that an integrated empowerment model, combining health promotion, social engagement, economic micro-activities, and psychosocial support, effectively improves elderly welfare when supported by active community involvement. This research contributes to scientific discourse on empowerment-based ageing interventions and provides evidence-based recommendations for policymakers and practitioners in designing community-driven elderly welfare programs. </ns7:p>

Authors

Institutions

Publication Details

Journal
F1000Research
Published
2026-01-30
DOI
https://doi.org/10.12688/f1000research.176617.1
Primary Topic
Intergenerational Family Dynamics and Caregiving
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Empowerment Model for The Elderly and Community to Improve the Welfare of the Elderly

Arief Tukiman Hendrawijaya, Bayu Pradikto, Ria Rizkia Alvi, Friska Indria Nora Harahap et al.
F1000Research
Intergenerational Family Dynamics and Caregiving
article

Empowerment Model for The Elderly and Community to Improve the Welfare of the Elderly

Arief Tukiman Hendrawijaya, Bayu Pradikto, Ria Rizkia Alvi, Friska Indria Nora Harahap, Mustafa Kamil, Muhammad Adil Arnady, Rosilawati Rosilawati, Ahmad Syahid, Hepy Tri Winarti
article en

Abstract

<ns7:p> Rapid population ageing poses significant challenges to elderly welfare, particularly in communities with limited institutional support. This study aims to develop and empirically test an empowerment model involving older people and the community to sustainably improve elderly welfare. Using a mixed-method research design, the study combines quantitative analysis of welfare outcomes with qualitative exploration of empowerment processes. Quantitative data were collected through structured questionnaires administered to 210 elderly participants involved in community-based empowerment programs. Elderly welfare was measured across physical, psychological, social, and economic dimensions. Data were analysed using descriptive statistics, paired-samples t-tests, and multiple regression. Qualitative data were obtained through in-depth interviews and focus group discussions with elderly participants, family members, and community cadres. They were analysed thematically to enrich the interpretation of the statistical findings. The statistical results indicate a significant improvement in elderly welfare following program implementation. The mean welfare score increased from 3.12 to 3.89 on a five-point scale (t = 9.46, p &lt; 0.001). Regression analysis shows that community participation (β = 0.41, p &lt; 0.001) and elderly self-efficacy (β = 0.36, p &lt; 0.01) are strong predictors of welfare improvement, explaining 52% of the variance in welfare outcomes (R <ns7:sup>2</ns7:sup> = 0.52). Qualitative findings support these results, revealing enhanced independence, stronger social networks, and increased community recognition of older people as active contributors rather than dependents. The study concludes that an integrated empowerment model, combining health promotion, social engagement, economic micro-activities, and psychosocial support, effectively improves elderly welfare when supported by active community involvement. This research contributes to scientific discourse on empowerment-based ageing interventions and provides evidence-based recommendations for policymakers and practitioners in designing community-driven elderly welfare programs. </ns7:p>

F1000ResearchVol. 15
Indonesia University of Education (ID), Universitas Jember (ID), Mulawarman University (ID)
Openalex Percentile: Top 76%
Intergenerational Family Dynamics and Caregiving
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.