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O1‐09‐05: The epidemiological study of cognitive function among chinese community‐dwelling elderly people, 1998‐2011: The chinese longitudinal healthy longevity survey
Author(s) -
Gao Mingyue,
Yang Min,
Qiu Peiyuan,
Kuang Weihong
Publication year - 2015
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2015.07.079
Subject(s) - medicine , gerontology , demography , cognitive impairment , epidemiology , china , activities of daily living , longitudinal study , cognition , physical therapy , geography , psychiatry , archaeology , sociology , pathology
construct representative indicators (e.g. level of income, education, rate of unemployment, urbanization, access to services...). All variables estimated at community level were transformed into tertiles (T1-T2-T3). The dementia cases were actively diagnosed according to the DSM-IV criteria and validated by an independent expert committee. Associations between dementia and community factors were assessed with the marginal Cox model with delayed entry and age as the time scale, including sex and individual education as confounding factors. Results:During the follow-up, 934 dementia cases were identified. Risk of dementia is increased in participants living in neighborhoods with a higher proportion of laborers (T3/T1 HR1⁄41.20[1.01; 1.43], p1⁄40.04), or unemployed (T3/T1 HR1⁄41.22 [1.03; 1.44], p1⁄40.02). On the opposite, living in high income neighborhoods is associated with lower risk (T3/T1 HR1⁄40.81[0.68; 0.95], p1⁄40.01). In neighborhoods with intermediate proportion of elderly, risk of dementia is decreased (T2/T1 HR1⁄40.79[0.67; 0.95], p1⁄40.01) while there is no significant difference for those with highest proportion of elderly (T3/T1 HR 1⁄40.87 [0.73-1.04], p1⁄40.12). Conclusions: Independently of age, sex and individual level of education, some factors reflecting socioeconomic disadvantage of the area where subjects are living are associated with dementia risk. Understanding how environmental factors may