Evidence map›Paper›PMID 31775713›Full record

ArticleBMC public health2019

Cognitive function and cardiometabolic disease risk factors in rural South Africa: baseline evidence from the HAALSI study.

Brian Houle, Thomas Gaziano, Meagan Farrell, F Xavier Gómez-Olivé, Lindsay C Kobayashi, Nigel J Crowther, Alisha N Wade, Livia Montana, Ryan G Wagner, Lisa Berkman and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.9field-weighted citation impact, top 7% of its field
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

15 citing papers in PubMed, 19 citations in OpenAlex.

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  7. Risk factors for mild cognitive impairment among older adults in a hospital in southern Nigeria.African journal of primary health care & family medicine · 2023
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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

11 authors at 6 institutions in 5 countries.

Brian HouleSchool of Demography, The Australian National University, ACT, Canberra, Australia.
Thomas GazianoDivision of Cardiovascular Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Meagan FarrellHarvard Center for Population and Development Studies, Harvard University, Cambridge, MA, USA.
F Xavier Gómez-OlivéMRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, 2193, South Africa.
Lindsay C KobayashiDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
Nigel J CrowtherDepartment of Chemical Pathology, National Health Laboratory Service, University of the Witwatersrand Faculty of Health Sciences, Johannesburg, South Africa.
Alisha N WadeMRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, 2193, South Africa.
Livia MontanaHarvard Center for Population and Development Studies, Harvard University, Cambridge, MA, USA.
Ryan G WagnerMRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, 2193, South Africa.
Lisa BerkmanMRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, 2193, South Africa.
Stephen M TollmanMRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, 2193, South Africa. stephen.tollman@wits.ac.za.ORCID http://orcid.org/0000-0003-0744-7588
Harvard University · USUniversity of the Witwatersrand · ZAAustralian National University · AUBrigham and Women's Hospital · USNational Health Laboratory Service · ZAUniversity of Michigan · US

Funding

SOCIAL AND ECONOMIC PREDICTORS OF PHYSICAL AND COGNITIVE FUNCTIONP01AG041710 · NIA · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Stephen Tollman · 2013 to 2026
$37.3M
Shared Core: Biobanking, Bioinformatics and Data ManagementU54HG006938 · NHGRI · WITS HEALTH CONSORTIUM (PTY), LTD · PI RAMSAY, MICHELE MICHELE · 2012 to 2022
$12.2M
An Innovative Language Controlled Tablet-Based Cognitive Test: Harmonizing Dementia Screening across High and Low Literacy CountriesR01AG051144 · NIA · HARVARD SCHOOL OF PUBLIC HEALTH · PI BERKMAN, LISA F · 2015 to 2016
$764k
Endocrine and metabolic diseases in rural South Africa-establishing burden and improving detectionK43TW010698 · FIC · WITS HEALTH CONSORTIUM (PTY), LTD · PI WADE, ALISHA NICOLE · 2017 to 2021
$581k
FIC NIH HHS K43 TW010698Fogarty International Center (US) K43TW010698National Institute on Aging (US) 1R01AG051144National Institute on Aging (US) 3U54HG006938National Institute on Aging (US) P01AG041710NHGRI NIH HHS U54 HG006938Wellcome TrustWellcome Trust (GB) 069683/Z/02/ZWellcome Trust (GB) 085477/B/08/ZWellcome Trust (GB) 58893/Z/99/A
6 · The paper itself

Abstract

backgroundEvidence on cognitive function in older South Africans is limited, with few population-based studies. We aimed to estimate baseline associations between cognitive function and cardiometabolic disease risk factors in rural South Africa.

methodsWe use baseline data from "Health and Aging in Africa: A Longitudinal Study of an INDEPTH Community in South Africa" (HAALSI), a population-based study of adults aged 40 and above in rural South Africa in 2015. Cognitive function was measured using measures of time orientation, immediate and delayed recall, and numeracy adapted from the Health and Retirement Study cognitive battery (overall total cognitive score range 0-26). We used multiple linear regression to estimate associations between cardiometabolic risk factors (including BMI, hypertension, dyslipidemia, diabetes, history of stroke, alcohol frequency, and smoking status) and the overall cognitive function score, adjusted for potential confounders.

resultsIn multivariable-adjusted analyses (n = 3018; male = 1520; female = 1498; median age 59 (interquartile range 50-67)), cardiometabolic risk factors associated with lower cognitive function scores included: diabetes (b = - 1.11 [95% confidence interval: - 2.01, - 0.20] for controlled diabetes vs. no diabetes); underweight BMI (b = - 0.87 [CI: - 1.48, - 0.26] vs. normal BMI); and current and past smoking history compared to never smokers. Factors associated with higher cognitive function scores included: obese BMI (b = 0.74 [CI: 0.39, 1.10] vs. normal BMI); and controlled hypertension (b = 0.53 [CI: 0.11, 0.96] vs. normotensive).

conclusionsWe provide an important baseline from rural South Africa on the associations between cardiometabolic disease risk factors and cognitive function in an older, rural South African population using standardized clinical measurements and cut-offs and widely used cognitive assessments. Future studies are needed to clarify temporal associations as well as patterns between the onset and duration of cardiometabolic conditions and cognitive function. As the South African population ages, effective management of cardiometabolic risk factors may be key to lasting cognitive health.

Indexed as

CognitionRural PopulationAgedCardiovascular DiseasesFemaleHumansLongitudinal StudiesMaleMetabolic DiseasesMiddle AgedRisk FactorsSouth AfricaAfricaCardiometabolic diseaseCognitive functionCross-sectional studiesEpidemiologyNoncommunicable disease

Identifiers

PMID31775713
PMCPMC6882146
OpenAlexW2991457145

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.