Cross-Sectional Associations between Living and Built Environments and Depression Symptoms among Chinese Older Adults
International Journal of Environmental Research and Public Health
; 19(10):5819, 2022.
Article
in English
| ProQuest Central | ID: covidwho-1871070
ABSTRACT
In this study, we explored the cross-sectional associations between living and built environments and depression among older Chinese adults. Data from 5822 participants were obtained. Depression symptoms were evaluated through the use of the Patient Health Questionnaire (PHQ-9), with a score higher than 4 categorized as having depression symptoms. The living environment was assessed by asking about dust in the environment and barrier-free facilities. We considered the presence of amenities within a 10 min walking distance and the proportion of green space within an 800 m distance from participants’ dwellings to reflect the built environment. Data were analyzed by multilevel logistic regression. Participants living in a non-dusty environment with proximity to green space had a lower risk of depression (non-dusty environment OR = 0.784, 95% CI = 0.642, 0.956;green space OR = 0.834, 95% CI = 0.697, 0.998). However, having no access to barrier-free facilities and hospital proximity increased the depression risk (barrier-free facilities OR = 1.253, 95% CI = 1.078, 1.457;hospital OR = 1.318, 95% CI = 1.104, 1.574). Dusty environments, access to barrier-free facilities and proximity to hospitals and green spaces were associated with depression symptoms among older Chinese adults.
Sciences: Comprehensive Works; depression symptoms; environment; older adults; Diabetes; Urban environments; Body mass index; Mortality; Hypertension; Supermarkets; Chronic illnesses; Hospitals; Adults; Proximity; Data analysis; Mental depression; Rural areas; Older people; Dwellings; Restaurants; Geriatrics; Medical screening; Cross sections; COVID-19; China
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Collection:
Databases of international organizations
Database:
ProQuest Central
Type of study:
Observational study
/
Randomized controlled trials
Language:
English
Journal:
International Journal of Environmental Research and Public Health
Year:
2022
Document Type:
Article
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