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Brief Report: Body Mass Index and Cognitive Function Among HIV-1-Infected Individuals in China, India, and Nigeria.

ABSTRACT: BACKGROUND:Risk of cognitive impairment is increased among persons with high or low body mass index in HIV- and HIV+ populations in resource-rich settings. We examined this association among HIV+ patients in 3 resource-limited settings. METHODS:This secondary analysis included data of 761 HIV+ volunteers pooled from 3 prospective cohort studies conducted in China (n = 404; 53%), India (n = 200; 26%), and Nigeria (n = 157; 21%). World Health Organization (WHO) weight classifications were based on body mass index. T scores, adjusted for demographics and practice effects, were derived from a 7-domain neuropsychological battery. Neurocognitive impairment (NCI) was defined as global deficit score of ?0.5. RESULTS:Overall, prevalence of NCI at baseline was 27.7% (similar across all cohorts). The overweight/obese and underweight constituted 37.3% and 15.5% of the total participants, respectively. In a multivariable logistic regression of pooled longitudinal data, adjusting for clinical and demographic variables, the odds of global NCI were 38% higher among the overweight/obese as compared to normal weight participants [odds ratio: 1.38 (95% confidence interval: 1.1 to 1.72); P = 0.005]. Similarly, the odds of global NCI were 39% higher among the underweight as compared to normal weight participants [odds ratio: 1.39 (95% confidence interval: 1.03 to 1.87); P = 0.029]. CONCLUSIONS:NCI among HIV-1-infected patients was more prevalent in both overweight/obese and underweight than normal weight individuals in 3 resource-limited settings, confirming observations in resource-rich settings. Mechanisms underlying these associations are unclear but likely differ for underweight and overweight persons.

SUBMITTER: Jumare J

PROVIDER: S-EPMC6331248 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature

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Brief Report: Body Mass Index and Cognitive Function Among HIV-1-Infected Individuals in China, India, and Nigeria.

Jumare Jibreel J El-Kamary Samer S SS Magder Laurence L Hungerford Laura L Umlauf Anya A Franklin Donald D Ghate Manisha M Abimiku Alashʼle A Charurat Man M Letendre Scott S Ellis Ronald J RJ Mehendale Sanjay S Blattner William A WA Royal Walter W Marcotte Thomas D TD Heaton Robert K RK Grant Igor I McCutchan John A JA

Journal of acquired immune deficiency syndromes (1999) 20190201 2

<h4>Background</h4>Risk of cognitive impairment is increased among persons with high or low body mass index in HIV- and HIV+ populations in resource-rich settings. We examined this association among HIV+ patients in 3 resource-limited settings.<h4>Methods</h4>This secondary analysis included data of 761 HIV+ volunteers pooled from 3 prospective cohort studies conducted in China (n = 404; 53%), India (n = 200; 26%), and Nigeria (n = 157; 21%). World Health Organization (WHO) weight classification ...[more]

PMID: 30422905

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Project description:BackgroundThe association between body mass index (BMI) and the risk of cognitive impairment remains uncertain. Relatively few studies have analyzed the dose-response relationship between BMI and cognitive impairment. This article utilized nationally representative longitudinal data to assess the association between BMI and cognitive impairment in Chinese older adults.ObjectiveThe present study aimed to analyze the association between BMI and cognitive impairment in Chinese older people, including an investigation of gender differences and the dose-response relationship.MethodsData were obtained from the China Health and Retirement Longitudinal Study database in 2015 and 2018. The present study used logistic regression to analyze the relationship between baseline BMI and cognitive impairment, and adopted a restricted cubic spline model to plot dose-response curves for baseline BMI and prevalence of risk of cognitive impairment.ResultsThe mean BMI of the survey population was 23.48 ± 3.66 kg/m2, and the detection rate of cognitive impairment was 34.2%. Compared to the normal weight group (18.5 ≤ BMI < 23.9 kg/m2), the odds ratio (OR) for cognitive impairment was 1.473 (95% CI: 1.189-1.823) in the underweight group (BMI < 18.5 kg/m2), whereas the corresponding OR was 0.874 (95% CI: 0.776-0.985) for the overweight or obese group (BMI ≥ 24.0 kg/m2) after adjusting for confounders. Gender subgroup analysis showed that overweight or obese older women were less likely to develop cognitive impairment (OR = 0.843; 95% CI: 0.720-0.987). The results of the restricted cubic spline analysis revealed a curvilinear L-shaped relationship between BMI and the risk of cognitive impairment (P non-linearity <0.05). In particular, the risk of cognitive impairment was higher at a lower baseline BMI. In contrast, BMI in the range of 23.2-27.8 kg/m2 was associated with a decreased risk of cognitive impairment.ConclusionBMI is a dose-dependent related factor for cognitive impairment in Chinese older adults. Being underweight is a risk factor for the development of cognitive impairment, while being overweight or obese is less likely to have cognitive impairment, particularly in female older people. Keeping BMI ranging from 23.2-27.8 kg/m2 in older adults can help maintain cognitive function.

Project description:ImportanceBody mass index (BMI) is used to diagnose obesity in adolescents worldwide, despite evidence that weight does not scale with height squared in adolescents. To account for this, health care providers diagnose obesity using BMI percentiles for each age (BMI z scores), but this does not ensure that BMI is accurate in adolescents.ObjectiveTo compare the accuracy of BMI vs other body fat indices of the form body mass divided by heightn in estimating body fat levels in adolescents.Design, setting, and participantsCross-sectional data from the 1999 to 2006 US National Health and Nutrition Examination Survey were analyzed between September 2015 and December 2016.Main outcomes and measuresDual-energy x-ray absorptiometry and anthropometric data were used to determine changes in body fat levels, body proportions, and the scaling relationships among body mass, height, and percent body fat. To assess the merits of each adiposity index, 3 criteria were used: stability with age, accuracy in estimating percent body fat, and accuracy in classifying adolescents as overweight vs normal weight.ResultsParticipants included 2285 non-Hispanic white participants aged 8 to 29 years. Percent body fat varied with both age and height during adolescence, invalidating the standard weight-to-height regression as the way of finding the optimal body fat index. Because the correct regression model (percent body fat is proportional to mass divided by heightn) suggested that percent body fat scales to height with an exponent closer to 3, we therefore focused on the tri-ponderal mass index (TMI; mass divided by height cubed) as an alternative to BMI z scores. For ages 8 to 17 years, TMI yielded greater stability with age and estimated percent body fat better than BMI (R2?=?0.64 vs 0.38 in boys and R2?=?0.72 vs 0.66 in girls). Moreover, TMI misclassified adolescents as overweight vs normal weight less often than BMI z scores (TMI, 8.4%; 95% CI, 7.3%-9.5% vs BMI, 19.4%; 95% CI, 17.8%-20.0%; P?<?.001) and performed equally as well as updated BMI percentiles derived from the same data set (TMI, 8.4%; 95% CI, 7.3%-9.5% vs BMI, 8.0%; 95% CI, 6.9%-9.1%; P?=?.62).Conclusions and relevanceThe tri-ponderal mass index estimates body fat levels more accurately than BMI in non-Hispanic white adolescents aged 8 to 17 years. Moreover, TMI diagnoses adolescents as overweight more accurately than BMI z scores and equally as well as updated BMI percentiles but is much simpler to use than either because it does not involve complicated percentiles. Taken together, it is worth considering replacing BMI z scores with TMI to estimate body fat levels in adolescents.

Dataset Information

Brief Report: Body Mass Index and Cognitive Function Among HIV-1-Infected Individuals in China, India, and Nigeria.

Publications

Brief Report: Body Mass Index and Cognitive Function Among HIV-1-Infected Individuals in China, India, and Nigeria.

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