Evidence map›Paper›PMID 23464799›Full record

ArticleAIDS care2013

Socio-demographic and health associations with body mass index at the time of enrollment in HIV care in Nyanza Province, Kenya.

Jason M Nagata, Kathryn J Fiorella, Sera L Young, Oscar D Otieno, Ijaa Kapule, Elizabeth A Bukusi, Craig R Cohen

Abstract read
In one paragraph

Article in AIDS care, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Trial
  2. Article
  3. Observational
  4. Article
  5. Human health alters the sustainability of fishing practices in East Africa.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  6. Article
  7. Article
  8. 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

7 authors.

Jason M Nagataa School of Medicine , University of California , San Francisco, San Francisco , CA , USA.
Kathryn J Fiorella
Sera L Young
Oscar D Otieno
Ijaa Kapule
Elizabeth A Bukusi
Craig R Cohen

Funding

Health Consequences of Food & Nutrition Insecurity for HIV+ Women & Their InfantsK01MH098902 · NIMH · NORTHWESTERN UNIVERSITY · PI YOUNG, SERA LEWISE · 2012 to 2016
$854k
Reproductive Infectious Disease (RID) FellowshipT32AI065388 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI COHEN, CRAIG R · 2007 to 2011
$781k
A Multidisciplinary Area of Concentration Program in Global HealthR25TW007512 · FIC · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI STEWART, CHRISTOPHER C. · 2008 to 2011
$611k
FIC NIH HHS 5R25TW7512-3FIC NIH HHS R25 TW007512NIAID NIH HHS T32 AI065388NIAID NIH HHS T32AI065388NIMH NIH HHS K01 MH098902NIMH NIH HHS K01MH098902
6 · The paper itself

Abstract

Low body mass index (BMI) at the time of enrollment into HIV care has been shown to be a strong predictor of mortality independent of CD4 count. This study investigated socio-demographic associations with underweight (BMI < 18.5) among adults in Nyanza Province, Kenya, upon enrollment into HIV care. BMI, socio-demographic, and health data from a cross-sectional sample of 8254 women and 3533 men were gathered upon enrollment in the Family AIDS Care and Education Services (FACES) program in Nyanza Province, Kenya, between January 2005 and March 2010. Overall, 27.4% of adults were underweight upon enrollment in HIV care. Among each women [W] and men [M], being underweight was associated with younger age (W: adjusted odds ratio [AOR], 2.90; 95% confidence interval [CI], 1.85-4.55; M: AOR, 5.87; 95% CI, 2.80-12.32 for those aged 15-19 compared to ≥50 years old), less education (W: AOR, 2.92; 95% CI, 1.83-4.65; M: AOR, 1.55; 95% CI, 1.04-2.31 for primary education compared to some college/university), low CD4 count (W: AOR, 2.13; 95% CI, 1.50-3.03; M: AOR, 1.43; 95% CI, 0.76-2.70 for 0-250 compared to ≥750 cells/mm(3)), and poor self-reported health status (W: AOR, 1.72; 95% CI, 0.89-3.33; M: AOR, 9.78; 95% CI, 1.26-75.73 for poor compared to excellent). Among all enrollees to HIV care, low BMI was associated with male gender, lower educational attainment, younger age, and poor self-reported health. HIV care and treatment programs should consider using socio-demographic and health risk factors associated with low BMI to target and recruit patients with the goal of preventing late enrollment into care.

Indexed as

Body Mass IndexHealth StatusAdultAge FactorsAnthropometryCD4 Lymphocyte CountCross-Sectional StudiesEducational StatusFemaleHIV InfectionsHumansKenyaMaleMiddle AgedOdds RatioSelf Report

Identifiers

PMID23464799
PMCPMC3708981

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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.