Evidence map›Paper›PMID 30263135›Full record

ArticleGlobal health, epidemiology and genomics2018

Body mass index and wealth index: positively correlated indicators of health and wealth inequalities in Nairobi slums.

T N Haregu, S F Mohamed, S Muthuri, C Khayeka-Wandabwa, C Kyobutungi

Abstract read
In one paragraph

Article in Global health, epidemiology and genomics, 2018. 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

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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. Article
  2. Article
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  4. Article
  5. Article
  6. Article
  7. Article
  8. Migration-Related Weight Changes among African Immigrants in the United States.International journal of environmental research and public health · 2022
    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

5 authors.

T N HareguAfrican population and Health Research Center, P.O. Box 10787-00100, Naiorbi, Kenya.
S F MohamedAfrican population and Health Research Center, P.O. Box 10787-00100, Naiorbi, Kenya.
S MuthuriAfrican population and Health Research Center, P.O. Box 10787-00100, Naiorbi, Kenya.
C Khayeka-WandabwaAfrican population and Health Research Center, P.O. Box 10787-00100, Naiorbi, Kenya.
C KyobutungiAfrican population and Health Research Center, P.O. Box 10787-00100, Naiorbi, Kenya.

Funding

Shared Core: Biobanking, Bioinformatics and Data ManagementU54HG006938 · NHGRI · WITS HEALTH CONSORTIUM (PTY), LTD · PI RAMSAY, MICHELE MICHELE · 2012 to 2022
$12.2M
NHGRI NIH HHS U54 HG006938
6 · The paper itself

Abstract

introductionWealth index is a known predictor of body mass index (BMI). Many studies have reported a positive association between BMI and

objectiveTo examine the association between BMI and wealth index in an urban

methodsA total of 2003 adults between 40 and 60 years of age were included. BMI was derived from direct weight and height measurements. Wealth Index was computed using the standard principal component analysis of household amenities ownership. The relationship between BMI and wealth index was assessed using both linear and logistic regression models.

resultsWe found that BMI linearly increased across the five quintiles of wealth index in both men and women, after adjusting for potential confounding factors. The prevalence of obesity increased from 10% in the first wealth quintile to 26.2% in the fifth wealth quintile. The average BMI for women entered the overweight category at the second quintile wealth status, or the third quintile for the total population.

conclusionThere exists a strong positive relationship between BMI and wealth index in slum settings. Health promotion interventions aimed at reducing obesity may consider using wealth index in priority setting.

Indexed as

Body mass indexslumswealth index

Identifiers

PMID30263135
PMCPMC6152486

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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.