scholarly journals Body mass index, waist-to-hip ratio and cognitive function among Chinese elderly: a cross-sectional study

BMJ Open ◽  
2018 ◽  
Vol 8 (10) ◽  
pp. e022055 ◽  
Author(s):  
Tao Zhang ◽  
Rui Yan ◽  
Qifeng Chen ◽  
Xuhua Ying ◽  
Yujia Zhai ◽  
...  

ObjectivesTo investigate the associations between body mass index (BMI), waist-to-hip ratio (WHR) and cognitive function among Chinese elderly.DesignCross-sectional study.SettingCommunity.ParticipantsData were obtained from the baseline survey of a community-based cohort in Zhejiang Province, and 9326 persons aged 60 years and older were enrolled.Primary outcome measuresWe investigated the association between BMI and cognition, and then explored the association between WHR and cognition across different quartiles of BMI.ResultsA sample of 9087 persons was used in this study, including 4375 men and 4712 women. Higher WHR increased cognitive impairment risk in those with BMI >25.3 kg/m2(OR (per 0.1 increase) 1.39; 95% CI 1.13 to 1.70). No statistically significant association was found in other BMI categories.ConclusionsHigher WHR could increase the risk of cognitive impairment among elderly with BMI >25.3 kg/m2. Our results suggest that it could be of benefit to the elderly with high BMI to control WHR.

2021 ◽  
Vol 9 (4) ◽  
pp. 3979-3984
Author(s):  
Samuel SE ◽  
◽  
Senapathi P ◽  
Shetty S ◽  
◽  
...  

Background: Higher BMI has been often attributed with decline in cognitive function, mortality, and morbidity in elderly. However, few studies have reported high BMI as protective towards cognition and Activities of Daily Living (ADL). Accurate quantification of the role of BMI in the incidence of cognition and performance is desirable in the face of the increasing prevalence of individuals with overweight and obesity and prolonged life span in the population. This study aimed to investigate the association of BMI with cognition and ADL in community living elderly. Method: A cross sectional study was conducted among community living elderly. BMI and KATZ index scores were recorded from the respondents. Data were analyzed using SPSS version and a p value of less than 0.05 was considered statistically significant. Results: A total of 53 respondents enrolled in this study and was predominated by (54.7%) males and (45.30%) females. Karl Pearson correlation coefficient test found a positive correlation (r= 0.33) between BMI and Cognition and was found to be statistically significant (p<0.05). Also, it was observed that moderately positive correlation exists between BMI and ADL (r =0.64) and was found to be statistically very highly significant (p<0.001) Conclusion: This study concluded that among elderly, higher BMI values were associated with better performance in daily activities and lower cognitive impairment. KEY WORDS: Elderly, Body mass index, Activities of Daily Living, Cognition.


1970 ◽  
Vol 4 (2) ◽  
pp. 59-62
Author(s):  
Md Anisur Rahman ◽  
Monira Akhter Moni ◽  
Kamal Ahmed ◽  
Md Shafiqul Islam ◽  
Md Abidul Haque

This cross-sectional study was carried out from January to June 2006 to find out the anthropometric profile of the urban seniors living in three selected areas (Nakhal Para, Badda and Mirpur) of Dhaka city. A total of 317 individuals of both sexes aged 60 years and above were recruited by convenient sampling. Data were collected by a pre-tested questionnaire and a check list. Mean body mass index, waist circumference and waist to hip ratio were 17.8 ± 4.0, 75.5 ± 12.5 cm and 0.87 ± 0.12, respectively. Although only 3% elderly were obese, substantial proportion of the sample were overweight. Females were more prone to health risks than male. Measures should be taken to create awareness amongst these populations for controlling their health risk. Key words: Anthropometry; elderly; Body Mass Index (BMI); Waist Circumference (WC); Waist to Hip Ratio (WHR) DOI: 10.3329/imcj.v4i2.6497Ibrahim Med. Coll. J. 2010; 4(2): 59-62


2021 ◽  
Vol 83 (4) ◽  
pp. 1741-1752
Author(s):  
Jing-Jing Zhang ◽  
Lin Li ◽  
Dan Liu ◽  
Fei-Fei Hu ◽  
Gui-Rong Cheng ◽  
...  

Background: Some studies have demonstrated an association between low and high body mass index (BMI) and an increased risk of dementia. However, only a few of these studies were performed in rural areas. Objective: This cross–sectional study investigated the associations between BMI and cognitive impairment among community–dwelling older adults from rural and urban areas. Methods: 8,221 older persons enrolled in the Hubei Memory & Ageing Cohort Study (HMACS) were recruited. Sociodemographic and lifestyle data, comorbidities, physical measurements, and clinical diagnoses of cognitive impairment were analyzed. Logistic regression was performed to assess the associations of BMI categories with cognitive impairment. A series of sensitivity analyses were conducted to test whether reverse causality could influence our results. Results: Being underweight in the rural–dwelling participants increased the risk of cognitive impairment. Being overweight was a protective factor in rural–dwelling participants aged 65–69 years and 75–79 years, whereas being underweight was significantly associated with cognitive impairment (OR, 1.37; 95% CI: 1.03–1.83; p < 0.05). Sensitivity analyses support that underweight had an additive effect on the odds of cognitive impairment and was related to risk of dementia. Interaction test revealed that the differences between urban/rural in the relationship between BMI and cognitive impairment are statistically significant. Conclusion: Associations between BMI and cognitive impairment differ among urban/rural groups. Older people with low BMI living in rural China are at a higher risk for dementia than those living in urban areas.


2021 ◽  
pp. 1-8
Author(s):  
Xiao Liu ◽  
Ayiguli Abudukeremu ◽  
Yuan Jiang ◽  
Zhengyu Cao ◽  
Maoxiong Wu ◽  
...  

Background: Several kinds of motor dysfunction can predict future cognitive impairment in elderly individuals. However, the ability of the fine motor index (FINEA) and gross motor index (GROSSA) to predict the risk of cognitive impairment has not been assessed. Objective: We investigated the associations between FINEA/GROSSA and cognitive impairment. Methods: The data of 4,745 participants from The Irish Longitudinal Study on Ageing (TILDA) were analyzed. Cognitive function was assessed using the Mini-Mental State Examination (MMSE). We first assessed the correlation between the FINEA GROSSA and MMSE in a cross-sectional study. Then, we further investigated the predictive role of the incidence of cognitive impairment in a prospective cohort study. Results: We found that both FINEA and GROSSA were negatively correlated with MMSE in both the unadjusted (FINEA: B = –1.00, 95%confidence intervals (CI): –1.17, –0.83, t = –11.53, p <  0.001; GROSSA: B = –0.85, 95%CI: –0.94, –0.76, t = –18.29, p <  0.001) and adjusted (FINEA: B = –0.63, 95%CI: –0.79, –0.47, t = –7.77, p <  0.001; GROSSA: B = –0.57, 95%CI: –0.66, –0.48, t = –12.61, p <  0.001) analyses in a cross-sectional study. In a prospective cohort study, both high FINEA and high GROSSA were associated with an increased incidence of cognitive function impairment (FINEA: adjusted odds ratios (OR) = 2.35, 95%CI: 1.05, 5.23, p = 0.036; GROSSA adjusted OR = 3.00, 95%CI: 1.49, 6.03, p = 0.002) after 2 years of follow-up. Conclusion: Higher FINEA and GROSSA scores were both associated with an increased incidence of cognitive impairment. FINEA or GROSSA might be a simple tool for identifying patients with cognitive impairment.


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