title: Prevalence and predictors of mild cognitive impairment in Xi'an: a community-based study among the elders.
abstract: Mild cognitive impairment (MCI) is an intermediate stage between normal cognitive function and dementia among aging individuals. This study was designed to estimate the prevalence of MCI and explore the possible risk factors including gender disparities among community-dwelling older individuals. The study was conducted in Xi'an, China. This is a cross-sectional study. A total of 815 individuals, 60 years and older were selected by stratified random cluster sampling. Cognitive function was measured using the mini-mental status examination (MMSE), the Chinese version of the Dementia Rating Scales (CDRS) was used to apply the diagnostic of non-dementia, and activities of daily living (ADL) and instrumental activities of daily living (IADL) systems were used to functional status. The association between sociodemographic characteristics, lifestyle, history of chronic diseases and MCI were evaluated separately for men and women using the Pearson χ²-test and binary logistic regression. Of the 815 community-dwelling individuals, 145 were found to have MCI. Overall, the prevalence of MCI was 18.5%, with a prevalence of 19.6% in women (105/535), and 15.3% (40/261) in men. The results of the binary logistical regression analysis indicated that age and history of stroke were associated with MCI in men. For women, the risk factors were lower level of educational and lack of religious attendance. Results suggested that the factors capable of influencing MCI differed profoundly between older men and older women. For this reason, different preventative measures should be adopted to delay or reverse cognitive impairment among community-dwelling older men and women.
authors.affiliation: Department of Nursing, the Fourth Military Medical University, Xi'an, China.
authors.forename: Xiangni
authors.initials: X
authors.lastname: Su
authors.affiliation: Department of Health Statistics, the Fourth Military Medical University, Xi'an, China.
authors.forename: Lei
authors.initials: L
authors.lastname: Shang
authors.affiliation: Department of Nursing, the Fourth Military Medical University, Xi'an, China.
authors.forename: Qiaoling
authors.initials: Q
authors.lastname: Xu
authors.affiliation: Department of Nursing, the Fourth Military Medical University, Xi'an, China.
authors.forename: Nannan
authors.initials: N
authors.lastname: Li
authors.affiliation: Department of Nursing, the Fourth Military Medical University, Xi'an, China.
authors.forename: Jianhua
authors.initials: J
authors.lastname: Chen
authors.affiliation: Department of Nursing, the Health College, Xi'an, China.
authors.forename: Liping
authors.initials: L
authors.lastname: Zhang
authors.affiliation: Department of Epidemiology, the Fourth Military Medical University, Xi'an, China.
authors.forename: Lei
authors.initials: L
authors.lastname: Zhang
authors.affiliation: Department of Nursing, the Fourth Military Medical University, Xi'an, China.
authors.forename: Qianzhen
authors.initials: Q
authors.lastname: Hua
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D002681:China / Q000453:epidemiology; D060825:Cognitive Dysfunction / Q000453:epidemiology*; D003710:Demography; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D009483:Neuropsychological Tests; D015995:Prevalence; D012111:Residence Characteristics / Q000706:statistics & numerical data*; D012307:Risk Factors