Evidence map›Paper›PMID 28265517›Full record

ArticlePeerJ2017

The impact of human development on individual health: a causal mediation analysis examining pathways through education and body mass index.

Aolin Wang, Onyebuchi A Arah

Abstract read
In one paragraph

Article in PeerJ, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

2 authors.

Aolin WangDepartment of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, CA, United States; California Center for Population Research (CCPR), Los Angeles, CA, United States.
Onyebuchi A ArahDepartment of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, CA, United States; California Center for Population Research (CCPR), Los Angeles, CA, United States; UCLA Center for Health Policy Research, Los Angeles, CA, United States.

Funding

The impact of natural experiments on child obesity: A systems science approachR01HD072296 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI PRELIP, MICHAEL LEE, WANG, MAY C · 2013 to 2017
$2.4M
NICHD NIH HHS R01 HD072296
6 · The paper itself

Abstract

backgroundThe macro environment we live in projects what we can achieve and how we behave, and in turn, shapes our health in complex ways. Policymaking will benefit from insights into the mechanisms underlying how national socioeconomic context affects health. This study examined the impact of human development on individual health and the possible mediating roles of education and body mass index (BMI).

methodsWe analyzed World Health Survey data on 109,448 participants aged 25 or older from 42 low- and middle-income countries with augmented human development index (HDI) in 1990. We used principal components method to create a health score based on measures from eight health state domains, used years of schooling as education indicator and calculated BMI from self-reported height and weight. We used causal mediation analysis technique with random intercepts to account for the multilevel structure.

resultsBelow a reference HDI level of 0.48, HDI was negatively associated with good health (total effect at HDI of 0.23:

conclusionHuman development has a non-linear effect on individual health, but the impact appears to be mainly through pathways other than education and BMI.

Indexed as

Body mass indexEducationGeneral healthHuman developmentMediation analysisPathways

Identifiers

PMID28265517
PMCPMC5335675

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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.