Evidence map›Paper›PMID 24795523›Full record

ArticleThe Journal of socio-economics2013

Do political factors matter in explaining under- and overweight outcomes in developing countries?

Elena Fumagalli, Emmanouil Mentzakis, Marc Suhrcke

Abstract read
In one paragraph

Article in The Journal of socio-economics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Elena FumagalliInstitute of Health Economics and Management (IEMS) and Department of Economics (DEEP), University of Lausanne, Switzerland.
Emmanouil MentzakisEconomics Division, School of Social Sciences, University of Southampton, Southampton, UK.
Marc SuhrckeHealth Economics Group, Faculty of Medicine and Health Sciences, University of East Anglia, Norwich Research Park, Norwich, UK ; UKCRC Centre for Diet and Physical Activity, Institute for Public Health, Cambridge, UK.

Funding

Wellcome Trust
6 · The paper itself

Abstract

We construct a rich dataset covering 47 developing countries over the years 1990-2007, combining several micro and macro level data sources to explore the link between political factors and body mass index (BMI). We implement a heteroskedastic generalized ordered logit model allowing for different covariate effects across the BMI distribution and accounting for the unequal BMI dispersion by geographical area. We find that systems with democratic qualities are more likely to reduce under-weight, but increase overweight/obesity, whereas effective political competition does entail double-benefits in the form of reducing both under-weight and obesity. Our results are robust to the introduction of country fixed effects.

Indexed as

BMIDeveloping countriesGeneralized ordered response modelsObesity

Identifiers

PMID24795523
PMCPMC4004373

What OpenQuestion holds

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LicenceCC BY
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.