阿萨姆邦古瓦哈提市老年人体重指数与年龄与轻度认知障碍(MCI)的相关性

V. Rajendran, A. Saikia, M. D. Bharali
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引用次数: 0

摘要

目的:对BMI和社会人口学特征进行分层后,确定MCI与BMI和年龄之间的相关性。方法:采用多阶段抽样方法对古瓦哈提市576名年龄≥60岁的老年人进行横断面研究。使用印地迷你精神状态检查工具筛查痴呆和轻度认知障碍。采用预先设计和预先测试的时间表收集数据,并使用SPSS进行分析。结果:HMMSE评分与BMI无显著相关(r =0.07)。然而,当分层时,在文盲(r =-0.21)、小学教育(r =-0.48)和非技术工人(r =-0.49)中,BMI与HMMSE得分呈显著负相关。老年人的年龄与认知存在显著负相关,分别为:OBC (r= -0.21)、Lower middle (III) (r= -0.39)、Upper Lower (r= -0.17)、Lower (V) (r= -0.26)、Graduate (r= -0.23)、middle School (r= -0.36)、文盲(r= -0.34)、文职人员(r= -0.60)、半专业人员(r= -0.62)、熟练工人(r=-0.68)、失业者(r= -0.15)、肥胖者(r= -0.30)。结论:年龄、类别、社会经济地位和身体质量指数(BMI)是老年人认知能力的预测因子。需要进一步的研究来评估年龄、体重指数和认知能力下降之间的相关性。
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Correlation of Body Mass Index and age with Mild Cognitive Impairment (MCI) in elderly of Guwahati City, Assam
Objective: To determine the correlation between BMI and age with MCI and  after stratifying for BMI and socio-demographic characteristics. Methods: This cross-sectional study was conducted among 576 elderly (≥60 years) in Guwahati city using a multi-stage sampling technique. Hindi Mini-Mental State Examination tool was used for screening for dementia and MCI. Data were collected using a pre-designed and pre-tested schedule and SPSS was used for analysis. Results: HMMSE scores were not significantly correlated with BMI (r =0.07). However, when stratified, a significantly negative correlation of BMI with HMMSE scores was seen for illiterates (r =-0.21), primary school education (r =-0.48) and unskilled workers (r =-0.49). There was a significant negative correlation between age and cognition for elderly belonging to  OBC, (r =-0.21), Lower middle (III), (r =-0.39), Upper Lower (r =-0.17),  Lower (V), (r =-0.26), Graduate, Post Graduate,(r = -0.23), Middle School, (r =-0.36), Illiterate, (r =-0.34), Clerical, (r =-0.60), Semi Professional, (r =-0.62), skilled worker (r=-0.68), Unemployed,  (r =-0.15) and Obese, (r =-0.30). Conclusion: Various factors like age, category, socioeconomic status, and Body Mass Index (BMI) were found to be predictors of cognition among the elderly.Further studies are needed to evaluate the correlations between age, BMI, and cognitive decline.
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