Evidence map›Paper›PMID 39369237›Full record

ArticleBMC public health2024

The association between BMI and cognition in India: data from the Longitudinal Aging Study in India (LASI).

Emma Nichols, Alden L Gross, Peifeng Hu, T V Sekher, Aparajit B Dey, Jinkook Lee

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Emma NicholsCenter for Economic and Social Research, University of Southern California, 635 Downey Way, VPD, Los Angeles, CA, 90089, USA. emmanich@usc.edu.
Alden L GrossJohns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Peifeng HuDivision of Geriatrics, UCLA School of Medicine, Los Angeles, CA, USA.
T V SekherInternational Institute for Population Sciences, Mumbai, India.
Aparajit B DeyDepartment of Geriatric Medicine, All India Institute of Medical Sciences, New Delhi, India.
Jinkook LeeCenter for Economic and Social Research, University of Southern California, 635 Downey Way, VPD, Los Angeles, CA, 90089, USA.

Funding

Integrting Information About Aging SurveysR01AG030153 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Sara Adar, Alden L. Gross · 2007 to 2026
$41.7M
Leveraging a natural experiment to estimate the causal impact of blood sugar on dementia and cognition in IndiaR01AG051125 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Jinkook Lee · 2015 to 2026
$26.8M
The Longitudinal Aging Study in IndiaR01AG042778 · NIA · HARVARD SCHOOL OF PUBLIC HEALTH · PI AROKIASAMY, PERIANAYAGAM, BLOOM, DAVID E · 2013 to 2019
$9.0M
Diamond and Hydrogenated Carbon MicroelectrodesR01GM065958 · NIGMS · MICHIGAN STATE UNIVERSITY · PI SWAIN, GREG M · 2002 to 2004
$361k
NIA NIH HHS R01 AG030153NIA NIH HHS R01 AG042778NIA NIH HHS R01 AG051125NIGMS NIH HHS R01 GM065958
6 · The paper itself

Abstract

backgroundHigh body-mass index (BMI) is an established risk factor for late-life cognitive impairment and dementia, but most evidence comes from high-income contexts. Existing evidence from cross-sectional data in low- and middle-income settings is inconsistent, and many studies do not adequately address potential sources of bias.

methodsWe used data from Wave 1 of the Longitudinal Aging Study in India (LASI) (analytic N = 56,753) to estimate the association between BMI categories and cognitive functioning among older adults aged 45 + years using survey-weighted linear regression models stratified by gender and controlling for potential confounders including demographic factors, socio-economic status (SES) characteristics, and health-related behaviors. To probe potential sources of bias, including residual confounding and reverse causation, we used weighting and trimming methods, sample restriction, and explored effect modification.

resultsIn fully adjusted models, relative to normal BMI underweight BMI was associated with lower cognitive scores (Men: -0.16 SD difference, 95% CI -0.18, -0.13; Women: -0.12 SD, -0.15, -0.10). Overweight and obesity were associated with higher cognitive scores in both men (overweight: 0.09; 0.07, 0.12, obese: 0.10; 0.05, 0.15) and women (overweight: 0.09; 0.07-0.12, obese: 0.12; 0.08-0.15). Estimates were similar after weighting and trimming but were attenuated after excluding those with low cognition (≥1 SD below the mean relative to those with similar demographic characteristics). Positive associations between overweight and obese BMI and cognition were attenuated or null in those living in urban settings and those with higher levels of educational attainment.

conclusionsUnderweight BMI is a risk factor for poor cognitive outcomes in adults 45 years and older and may be indicative of poor nutritional status and life-course disadvantage in India. In tandem with existing literature, supplemental analyses and effect modification results indicate that unmeasured confounding and reverse causation may explain the observed positive associations between overweight and obese BMI and cognitive functioning from cross-sectional studies in low- and middle-income settings. Future data with longitudinal follow-up will be helpful to further disentangle biases.

Indexed as

Body Mass IndexAgedAged, 80 and overAgingCognitionCross-Sectional StudiesFemaleHumansIndiaLongitudinal StudiesMaleMiddle AgedRisk FactorsBody mass indexCognitionIndiaObesity

Identifiers

PMID39369237
PMCPMC11456231

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.