Evidence map›Paper›PMID 29289809›Full record

ArticleJournal of health economics2018

The effect of weight on mental health: New evidence using genetic IVs.

Barton Willage

Open access · greenAbstract read
In one paragraph

Article in Journal of health economics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
7.2field-weighted citation impact, top 3% 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

15 citing papers in PubMed, 46 citations in OpenAlex.

  1. Article
  2. The hidden cost of sophistication: economic complexity and obesity.The European journal of health economics : HEPAC : health economics in prevention and care · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Mental health effects of education.Health economics · 2022
    Article
  9. Review
  10. Body Mass and Income: Gender and Occupational Differences.International journal of environmental research and public health · 2021
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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

1 author at 1 institution in 1 country.

Barton WillageCornell University, Department of Economics, United States. Electronic address: bjw94@cornell.edu.
Cornell University · US

Funding

Wave IV Data CollectionP01HD031921 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HARRIS, KATHLEEN MULLAN · 1994 to 2020
$86.1M
NICHD NIH HHS P01 HD031921
6 · The paper itself

Abstract

Average body mass index (BMI) and depression prevalence grew over the last several decades, increasing medical expenditures. There is a strong correlation between obesity and depression but limited evidence on the causal effect of weight on mental health. I use an index of genetic risk for high BMI as a source of exogenous variation in weight to provide novel evidence on the effect of weight on mental health. This is one of the first studies to use genetics as an instrument for BMI and to examine the causal relationship between weight and depression. Results are mixed; I find a meaningful and significant effect of weight on suicidal ideation but no effects on counseling and an index of depression. The effect on suicidal ideation is concentrated in white females. From respondent and interviewer opinions of respondent attractiveness, social stigma is a mechanism through which weight affects mental health for white women.

Indexed as

Body WeightAdolescentAdultDepressionFemaleGenetic Predisposition to DiseaseHumansLeast-Squares AnalysisMaleMental HealthObesityRisk FactorsSuicidal IdeationYoung Adult

Identifiers

PMID29289809
PMCPMC5862752
OpenAlexW2769399593

What OpenQuestion holds

Textmetadata
LicenceTDM
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.