Community Well‐Being and Functional Disability Risk Among Older Adults: A Multilevel Analysis of 91 Municipalities in Japan
Tomoki Tanaka, Weida Lyu, Katsuya Iijima

Abstract
| Variable | Mean (SD) |
|
|
|---|---|---|---|
| Level 1: Individual factors | |||
| Age, years | 76.4 (7.1) | 0.055 (0.054 to 0.056) | < 0.001 |
| Sex, the percentage of male | 23.0% | −0.251 (−0.273 to −0.230) | < 0.001 |
| Self‐efficacy for health care | 48.1 (7.4) | −0.051 (−0.073 to −0.030) | < 0.001 |
| Level 2: Community well‐being indicators | |||
| Community‐level indicators that are potentially protective against frailty | |||
| Shopping and dining convenience | 48.7 (3.7) | −0.028 (−0.034 to −0.021) | < 0.001 |
| Digital life environment | 46.3 (7.6) | −0.004 (−0.008 to −0.001) | 0.024 |
| Childcare environment | 49.5 (3.8) | −0.004 (−0.007 to −0.001) | 0.018 |
| Environmental symbiosis | 50.4 (4.0) | −0.010 (−0.013 to −0.006) | < 0.001 |
| Local government services | 50.5 (4.6) | −0.003 (−0.006 to 0.000) | 0.090 |
| Community‐level indicators associated with higher risk or inclusive urban contexts | |||
| Transportation and mobility | 48.7 (4.6) | 0.011 (0.007 to 0.016) | < 0.001 |
| Public space | 47.1 (6.2) | 0.013 (0.010 to 0.016) | < 0.001 |
| Diversity and tolerance | 49.3 (6.1) | 0.006 (0.003 to 0.009) | < 0.001 |
| Employment and income | 50.5 (5.0) | 0.007 (0.004 to 0.010) | < 0.001 |
| Business creation | 48.4 (4.6) | 0.010 (0.006 to 0.014) | < 0.001 |
| Community self‐efficacy | 54.0 (16.0) | 0.004 (0.002 to 0.006) | < 0.001 |
| Primary and secondary education | 50.4 (4.9) | 0.006 (0.003 to 0.010) | < 0.001 |
| Nonsignificant indicators | |||
| Health and welfare | 50.8 (3.5) | 0.000 (−0.005 to 0.005) | 0.982 |
| Housing environment | 52.2 (9.2) | 0.001 (−0.003 to 0.005) | 0.756 |
| Leisure and recreation | 50.4 (7.7) | 0.001 (0.000 to 0.003) | 0.122 |
| Urban landscape | 49.5 (11.6) | 0.000 (−0.001 to 0.001) | 0.810 |
| Safety (accidents and crime) | 52.3 (6.7) | −0.002 (−0.004 to 0.001) | 0.208 |
| Natural scenery | 46.4 (8.3) | 0.001 (−0.001 to 0.002) | 0.462 |
| Natural resources | 51.0 (7.4) | 0.000 (−0.003 to 0.003) | 0.979 |
| Natural disasters | 50.8 (3.9) | −0.001 (−0.006 to 0.003) | 0.615 |
| Community connectedness | 51.2 (5.8) | −0.002 (−0.008 to 0.004) | 0.481 |
| Health status (community‐level) | 53.7 (7.5) | 0.000 (−0.002 to 0.002) | 0.747 |
| Culture and arts | 49.3 (4.1) | −0.003 (−0.007 to 0.001) | 0.116 |
| Educational opportunities | 49.9 (4.0) | 0.000 (−0.004 to 0.005) | 0.892 |
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Taxonomy
TopicsFrailty in Older Adults · Health disparities and outcomes · Geriatric Care and Nursing Homes
Dear Editors,
1
In advanced nations experiencing rapid population aging, such as Japan, maintaining supportive community environments and sustainable living conditions for older adults are urgent priorities [1]. Frailty, characterized by the accumulation of physical, psychological, and social function decline, is a reversible condition and an important target for preventing adverse health outcomes [2]. Previous practices have primarily focused on individual‐level risk factors; the role of community‐level environments in shaping trajectories remains underexplored [3]. The Community Well‐Being Index (CWBI), developed by the Digital Agency of Japan, is an objective, multidimensional measure of municipal livability [4]. However, few studies have empirically linked community‐level well‐being to frailty‐related risk among older adults at a national scale. We aimed to examine the association between community well‐being and the frailty checkup risk score (FCRS), a composite indicator of functional disability reflecting physical and social domains derived from the frailty checkup (FC) program [5].
Data were obtained from 91 municipalities participating in the FC program between 2018 and 2024. The study included 37 208 community‐dwelling adults aged ≥ 65 years (mean age 76.6 ± 7.2 years; 77% female) with complete demographic data. The outcome variable was the FCRS, which represents the degree of frailty progression encompassing physical and social domains [5]. The primary exposure of interest was community‐level well‐being, operationalized using domain‐specific scores from the 2024 CWBI, derived from objective administrative indicators [4]. Individual‐level covariates (Level 1) included age, sex, and self‐efficacy for health management, which measures confidence in performing multiple health‐related behaviors [6]. Community‐level covariates (Level 2) were incorporated as contextual predictors in the multilevel model. A generalized linear mixed model with municipalities as random intercepts was employed, specifying a normal distribution and identity link. Analyses were performed using SPSS version 29.0 (IBM Japan, Tokyo).
At the individual level, older age was associated with higher FCRS, whereas male sex and higher self‐efficacy for health management were associated with lower FCRS (p < 0.001 for all; Table 1). At the community level, several CWBI domains demonstrated significant associations. Municipalities with higher shopping and dining convenience, digital life and childcare environments, and environmental symbiosis showed significantly lower FCRS. Municipalities with higher public space, diversity and tolerance, employment and income, business creation, and educational environment scores showed higher FCRS. Sixteen other indicators were non‐significant. Between municipality variance was significant (variance = 0.284, p < 0.001), and the intraclass correlation coefficient (ICC, 0.38) indicated that approximately 38% of the total FCRS variance was attributable to intermunicipality differences or unmeasured individual‐level factors shared within municipalities.
This nationwide multilevel analysis suggested that community‐level well‐being remained significantly associated with frailty‐related risk, despite adjusting for individual characteristics. Municipalities with greater lifestyle convenience, information and communication technology accessibility, and environmentally conscious development had lower FCRS; thus, supportive environments may help maintain daily autonomy and social engagement. Conversely, higher FCRS in municipalities with greater public space, diversity, and economic vitality might reflect inclusive urban contexts—areas where older adults with diverse health conditions, including frailty, are more visible and socially integrated. These findings indicate that community well‐being is not merely a measure of livability but also a contextual factor shaping population health through both protective and inclusive mechanisms. These domains likely reflect broader social and infrastructural contexts rather than isolated facilities.
The ICC suggested that nearly 40% of the total variance in frailty risk was attributable to municipality‐level differences or unmeasured shared individual factors, such as social capital or access to services, aligning with the World Health Organization's Integrated Care for Older People framework [7], which emphasizes environmental and social structures as essential to maintaining intrinsic capacity and functional ability. Similarly, the Asian Working Group for Sarcopenia 2025 highlighted the importance of community‐level and environmental approaches to muscle health and frailty prevention across the life course [8]. These frameworks support the interpretation that age‐friendly multidimensional environments may mitigate frailty progression in super‐aged societies.
This study has some limitations. Its cross‐sectional design precludes causal inference. Participants were community‐dwelling older adults who participated voluntarily; therefore, the sample may not fully represent all residents in each municipality. Although the FCRS integrates multiple individual‐level functional and health‐related components, detailed clinical diagnoses and comorbidity data were not available, and such unmeasured health factors may have influenced the results. Moreover, community indicators are based on objective municipal averages, which may not reflect within‐community diversity or subjective perceptions of livability. Future longitudinal studies integrating subjective well‐being and neighborhood‐level data are warranted to clarify causal pathways and heterogeneity.
In conclusion, community well‐being was independently associated with frailty‐related risk among older adults. Strengthening digital, environmental, and social infrastructures may serve as a foundation for community‐based frailty prevention.
Author Contributions
Tomoki Tanaka: writing – original draft, visualization, validation, supervision, software, resources, project administration, methodology, investigation, funding acquisition, formal analysis, data curation, conceptualization. Weida Lyu: writing – review and editing, visualization, validation, software, methodology, investigation, funding acquisition, formal analysis, data curation. Katsuya Iijima: writing – review and editing, visualization, validation, supervision, project administration, methodology, investigation, formal analysis, data curation, conceptualization.
Funding
The authors have nothing to report.
Ethics Statement
The study protocol was approved by the Ethics Committee of the University of Tokyo(#19–320), and written informed consent was obtained from all participants. The study was conducted following the principles of the Declaration of Helsinki.
Conflicts of Interest
The authors declare no conflicts of interest.
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