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Prevalence of gender disparities and predictors affecting the occurrence of mild cognitive impairment (MCI)
Authors:Lee Lai Kuan  Shahar Suzana  Chin Ai-Vyrn  Mohd Yusoff Noor Aini  Rajab Norfadilah  Aziz Safiyyah Abdul
Affiliation:a Department of Nutrition and Dietetics, Faculty of Allied Health Sciences, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, 50300 Kuala Lumpur, Malaysia
b Division of Geriatrics, Department of Medicine, Faculty of Medicine, Universiti Malaya, 50603 Kuala Lumpur, Malaysia
c Masterskill University College of Health Sciences, Jalan Kemacahaya, 43200 Selangor Darul Ehsan, Malaysia
d Department of Biomedical Sciences, Faculty of Allied Health Sciences, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, 50300 Kuala Lumpur, Malaysia
e Health Psychology Unit, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, 50300 Kuala Lumpur, Malaysia
Abstract:The aims were to investigate the prevalence of mild cognitive impairment (MCI) within gender disparities in Malaysian older adults, and to determine the predictors of MCI according to gender disparities. A community-based sample of urban, multiethnic dwelling elderly aged 60 years of age and above from Cheras, Kuala Lumpur was recruited. Prevalence of all-type MCI, amnestic-type MCI (am-MCI) and non-amnestic-type MCI (nam-MCI) was assessed using comprehensive neuropsychological batteries. The association between demography, socioeconomic status, lifestyle practices, and nutritional status and health risk factors with MCI were examined. Predictors of MCI occurrence between gender disparities were determined. The prevalence of all-type MCI, am-MCI and nam-MCI was 21.1%, 15.4% and 5.7%, respectively. Binary logistic regression indicated that hypercholesterolemia is the significant predictor for MCI in men after adjustment for age, ethnicity and total years of education. While, in women, MCI was best predicted by married status, without exercise practice, overweight and obesity. These results suggest that approximately one-fifth of the studied elderly people had MCI. Predictors for MCI are totally different between men and women. It is critical to identify those at higher risk for MCI in order to implement preventative measures to delay or reverse this abnormal condition.
Keywords:Gender disparities   Mild cognitive impairment   Predictors of MCI   Prevalence of MCI
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