Rate of Social Isolation by Geographic Location Among Older Adults
AAA LongRoad Study
Datos Bibliográficos
| ID | 22075017 |
|---|---|
| Autores | Laura Lynch (0000-0001-7599-882X, Columbia University Irving Medical Center), Thelma J Mielenz (0000-0001-5975-7209, Columbia University Irving Medical Center, autor de correspondencia), Guohua Li (0000-0003-4732-2448, Columbia University Irving Medical Center), David W Eby (0000-0001-8650-0628, University of Michigan), Lisa J Molnar (0000-0002-9556-1761, University of Michigan), Marian E Betz (0000-0003-1643-6565, University of Colorado Anschutz Medical Campus), Carolyn DiGuiseppi (0000-0002-6440-7817, Colorado School of Public Health), Linda Hill (0000-0002-1249-1826, University of California San Diego), Linda L Hill, Vanya Jones (0000-0002-9048-0102, Johns Hopkins University), David Strogatz (0000-0002-5805-6280, Bassett Medical Center) |
| Año | 2021 |
| Volumen | 9 |
| Páginas | 791683-791683 |
| Fecha de publicación | 2021-12-10 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Frontiers in Public Health (JOURNAL) |
| Identificadores de la revista | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Editorial | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2021.791683 |
| PMID | 34957037 |
| OpenAlex | W4200462986 |
| Idioma | EN |
| Citas recibidas | 3 |
| Referencias citadas | 22 |
Introduction: Social isolation is a modifiable risk factor for negative health outcomes among older adults. This work assessed the relationship between geography (i.e., urban vs. non-urban residence) and social isolation in a cohort of older drivers. Methods: The AAA LongROAD cohort with 2,989 older adult drivers from across the country were included. Social isolation was measured at baseline and at two subsequent annual follow-ups using PROMIS v2.0 Social Isolation 4a. The effect of geographic location with social isolation was assessed through with multivariable regression using a generalized estimating equation model. Results: The rate of social isolation in urban areas was 21% lower (adjusted RR 0.79, 95% CI 0.46, 1.36) compared to non-urban areas after adjusting for covariates, though not significant. Discussion: Social isolation is a predictor of poor health outcomes and geographic considerations have been lacking in the literature. The panel data in this analysis provides more evidence for causality though the under-representation of non-urban areas potentially reduces the power for the results. Conclusions: It is important to understand the needs and risk of social isolation in various geographic settings to ensure resources and interventions are appropriately modified for a greater public health impact
Cohort · Cohort study · Environmental health · Geography · Location · Psychological intervention · Public health · Residence · Social isolation · Sociology · Demography · Health disparities and outcomes · Medicine · Older Adults Driving Studies · Urban Transport and Accessibility · Gerontology
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| Obras citantes distintas | 3 |
|---|---|
| Citas por año | 1,5 |
| Intervalo de citas | 2024 - 2025 (2) |
| Velocidad de citación | recent |
| Altamente citado | No |
| Tipos de cita | Neutras: 3 |