Evidence map›Paper›PMID 29208071›Full record

ArticlePublic health nutrition2018

Economic policy and the double burden of malnutrition: cross-national longitudinal analysis of minimum wage and women's underweight and obesity.

Annalijn I Conklin, Ninez A Ponce, Catherine M Crespi, John Frank, Arijit Nandi, Jody Heymann

Open access · bronzeAbstract read
In one paragraph

Article in Public health nutrition, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

11 citing papers in PubMed, 20 citations in OpenAlex.

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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

6 authors at 4 institutions in 3 countries.

Annalijn I Conklin1Centre for Health Evaluation and Outcomes Science and Faculty of Pharmaceutical Sciences,University of British Columbia,2405 Wesbrook Mall,Room 4623,Vancouver,British Columbia,Canada,V6T 1K3.
Ninez A Ponce3Department of Health Policy and Management and Center for Global and Immigrant Health,UCLA Fielding School of Public Health,Los Angeles,CA,USA.
Catherine M Crespi4Department of Biostatistics,UCLA Fielding School of Public Health,Los Angeles,CA,USA.
John Frank5Scottish Collaboration for Public Health Research & Policy,Usher Institute of Population Health Sciences and Informatics,The University of Edinburgh,Edinburgh,UK.
Arijit Nandi6Institute for Health and Social Policy and Department of Epidemiology,Biostatistics, and Occupational Health,McGill University,Montréal,Québec,Canada.
Jody Heymann1Centre for Health Evaluation and Outcomes Science and Faculty of Pharmaceutical Sciences,University of British Columbia,2405 Wesbrook Mall,Room 4623,Vancouver,British Columbia,Canada,V6T 1K3.
UCLA Health · USUniversity of British Columbia · CAMcGill University · CAScottish Collaboration for Public Health Research and Policy · GB

Funding

CIHR MFE-135520CIHR ROH-115209Medical Research Council MC_PC_13040Medical Research Council MR/K007017/1Medical Research Council MR/K023209/1Medical Research Council MR/M501633/1Medical Research Council MR/M501633/2
6 · The paper itself

Abstract

objectiveTo examine changes in minimum wage associated with changes in women's weight status.

designLongitudinal study of legislated minimum wage levels (per month, purchasing power parity-adjusted, 2011 constant US dollar values) linked to anthropometric and sociodemographic data from multiple Demographic and Health Surveys (2000-2014). Separate multilevel models estimated associations of a $10 increase in monthly minimum wage with the rate of change in underweight and obesity, conditioning on individual and country confounders. Post-estimation analysis computed predicted mean probabilities of being underweight or obese associated with higher levels of minimum wage at study start and end.

settingTwenty-four low-income countries. SUBJECTS: Adult non-pregnant women (n 150 796).

resultsHigher minimum wages were associated (OR; 95 % CI) with reduced underweight in women (0·986; 0·977, 0·995); a decrease that accelerated over time (P-interaction=0·025). Increasing minimum wage was associated with higher obesity (1·019; 1·008, 1·030), but did not alter the rate of increase in obesity prevalence (P-interaction=0·8). A $10 rise in monthly minimum wage was associated (prevalence difference; 95 % CI) with an average decrease of about 0·14 percentage points (-0·14; -0·23, -0·05) for underweight and an increase of about 0·1 percentage points (0·12; 0·04, 0·20) for obesity.

conclusionsThe present longitudinal multi-country study showed that a $10 rise in monthly minimum wage significantly accelerated the decline in women's underweight prevalence, but had no association with the pace of growth in obesity prevalence. Thus, modest rises in minimum wage may be beneficial for addressing the protracted underweight problem in poor countries, especially South Asia and parts of Africa.

Indexed as

EconomicsNutritional StatusPovertySalaries and Fringe BenefitsAdultBody WeightDeveloping CountriesFemaleHumansIncomeLongitudinal StudiesMalnutritionMiddle AgedObesityThinnessYoung AdultEconomic policyMinimum wageMultilevel analysisWeight statusWomen

Identifiers

PMID29208071
PMCPMC10261645
OpenAlexW2773328615

What OpenQuestion holds

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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.