Evidence map›Paper›PMID 33070472›Full record

ArticleObesity (Silver Spring, Md.)2020

BMI and All-Cause Mortality in a Population-Based Cohort in Rural South Africa.

Jennifer Manne-Goehler, Kathy Baisley, Alain Vandormael, Till Bärnighausen, Frank Tanser, Kobus Herbst, Deenan Pillay, Mark J Siedner

Abstract read
In one paragraph

Article in Obesity (Silver Spring, Md.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Weight Gain After HIV Therapy Initiation: Pathophysiology and Implications.The Journal of clinical endocrinology and metabolism · 2024 · on this map
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
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

8 authors.

Jennifer Manne-GoehlerDivision of Infectious Diseases, Massachusetts General Hospital, Boston, Massachusetts, USA.ORCID 0000-0001-9295-0035
Kathy BaisleyDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.
Alain VandormaelHeidelberg Institute of Global Health (HIGH), Heidelberg University, Heidelberg, Germany.
Till BärnighausenAfrica Health Research Institute, KwaZulu-Natal, South Africa.
Frank TanserAfrica Health Research Institute, KwaZulu-Natal, South Africa.
Kobus HerbstAfrica Health Research Institute, KwaZulu-Natal, South Africa.
Deenan PillayAfrica Health Research Institute, KwaZulu-Natal, South Africa.
Mark J SiednerDivision of Infectious Diseases, Massachusetts General Hospital, Boston, Massachusetts, USA.

Funding

The impact of HIV viral diversity and cellular immunity on HIV pathogenesisP30AI060354 · NIAID · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI RAJESH T GANDHI · 2004 to 2026
$94.4M
PROGRAM FOR AIDS CLINICAL RESEARCH TRAINING (PACRT)T32AI007433 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI MARK J SIEDNER · 1992 to 2026
$11.4M
Quality of Life and Aging with HIV in Rural UgandaR01AG059504 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI SIEDNER, MARK J · 2019 to 2023
$3.4M
Epidemiology of coronary artery disease among people with HIV in rural sub-Saharan AfricaR01HL141053 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI SIEDNER, MARK J · 2018 to 2021
$3.0M
NHLBI NIH HHS R01 HL141053NIAID NIH HHS P30 AI060354NIAID NIH HHS T32 AI007433NIA NIH HHS R01 AG059504Wellcome Trust
6 · The paper itself

Abstract

objectiveThis study evaluates the association between BMI and all-cause and cause-specific mortality in South Africa.

methodsProspective, population-based observational cohort data from rural South Africa were analyzed. BMI was measured in 2010. Demographic characteristics were recorded and deaths were verified with verbal autopsy interview. The InterVA-5 tool was used to assign causes of death. HIV testing was conducted annually. Cox proportional hazards models were fit to estimate the effect of BMI on all-cause and cause-specific mortality, accounting for the competing risk of death from other causes. Models were adjusted for sociodemographic characteristics and HIV status, and inverse probability weighting for survey nonparticipation was used.

resultsThe cohort consisted of 9,728 individuals. In adjusted models, those with BMI of 25.0 to 29.9 kg/m

conclusionsIndividuals in South Africa who meet clinically defined criteria for overweight or obesity had a lower risk of all-cause mortality than those with a normal BMI. These findings were stronger for women and communicable conditions.

Indexed as

Body Mass IndexAdultCause of DeathCohort StudiesFemaleHumansMaleMiddle AgedProspective StudiesRural PopulationSouth AfricaSurveys and QuestionnairesYoung Adult

Identifiers

PMID33070472
PMCPMC7686076

What OpenQuestion holds

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LicenceTDM
Read underepoch 390

Registered trials

None linked

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.