Environmental Factors Affecting Cognitive Function among Community-Dwelling Older Adults: A Longitudinal Study
Atsushi Motohiro,
Takafumi Abe,
Kenta Okuyama,
Keiichi Onoda,
Tomoko Ito,
Minoru Isomura,
Toru Nabika and
Shunichi Kumakura
Additional contact information
Atsushi Motohiro: Canvas Inc., 366 Satokata, Kisuki-cho, Unnnan-shi 699-1311, Shimane, Japan
Takafumi Abe: Center for Community-Based Healthcare Research and Education (CoHRE), Organization for Research and Academic Information, Shimane University, 223-8 Enya-cho, Izumo-shi 693-8501, Shimane, Japan
Kenta Okuyama: Center for Community-Based Healthcare Research and Education (CoHRE), Organization for Research and Academic Information, Shimane University, 223-8 Enya-cho, Izumo-shi 693-8501, Shimane, Japan
Keiichi Onoda: Department of Psychology, Otemon Gakuin University, 2-1-15 Nishiai, Ibaraki City 567-8502, Osaka, Japan
Tomoko Ito: Department of Community Health and Gerontological Nursing, Faculty of Medicine, Shimane University, 89-1 Enya-cho, Izumo 693-8501, Shimane, Japan
Minoru Isomura: Center for Community-Based Healthcare Research and Education (CoHRE), Organization for Research and Academic Information, Shimane University, 223-8 Enya-cho, Izumo-shi 693-8501, Shimane, Japan
Toru Nabika: Center for Community-Based Healthcare Research and Education (CoHRE), Organization for Research and Academic Information, Shimane University, 223-8 Enya-cho, Izumo-shi 693-8501, Shimane, Japan
Shunichi Kumakura: Department of Medical Education and Research, Faculty of Medicine, Shimane University, 89-1 Enya-cho, Izumo-shi 693-8501, Shimane, Japan
IJERPH, 2021, vol. 18, issue 16, 1-9
Abstract:
Although neighborhood environmental factors have been found to be associated with cognitive decline, few longitudinal studies have focused on their effect on older adults living in rural areas. This longitudinal study aimed to investigate the role of neighborhood environmental factors in cognitive decline among rural older adults. The data of 485 older adults aged ?60 years who were living in Unnan City in Japan and had participated in two surveys conducted between 2014 and 2018 were analyzed. Cognitive function was assessed using the Cognitive Assessment for Dementia, iPad version 2. Elevation, hilliness, residential density, and proximity to a community center were determined using geographic information system. We applied a generalized estimating equation with odds ratios (OR) and 95% confidence intervals (CIs) of cognitive decline in the quartiles of neighborhood environmental factors. A total of 56 (11.6%) participants demonstrated a decrease in cognitive function at follow up. Elevation (adjusted OR 2.58, 95% CI (1.39, 4.77) for Q4 vs. Q1) and hilliness (adjusted OR 1.93, 95% CI (1.03, 3.63) for Q4 vs. Q1) were associated with a higher likelihood of cognitive decline. The second quartiles of residential density showed significantly lower likelihoods of cognitive decline compared with the first quartiles (adjusted OR 0.36, 95% CI (0.19, 0.71) for Q2 vs. Q1). Thus, an elevated hilly environment and residential density predicted cognitive decline among rural older adults.
Keywords: cognitive function; rural mountainous area; older adults (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:18:y:2021:i:16:p:8528-:d:613174
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