Evidence map›Paper›PMID 37383885›Full record

ArticleHealth policy OPEN2023

The impact of cash transfer participation on unhealthy consumption in Brazil.

Fernanda Araujo Maciel, Diogo Duarte

Abstract read
In one paragraph

Article in Health policy OPEN, 2023. 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
  2. Machine Learning Algorithms to Estimate Propensity Scores in Health Policy Evaluation: A Scoping Review.International journal of environmental research and public health · 2024
    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

2 authors.

Fernanda Araujo MacielCalifornia State University, Sacramento, College of Business, 6000 J Street, Sacramento, CA 95819, USA.
Diogo DuarteFlorida International University, College of Business, 11200 S.W. 8th St., 236, Miami, FL 33199, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We assess the impact of the Brazilian government's conditional cash transfer program Bolsa Família on unhealthy consumption by households, proxied by expenses with ultra-processed food, alcohol, and tobacco products. Using machine learning techniques to improve the propensity score estimation, we analyze the intensive and extensive margin effects of participating in the program on the household purchase of unhealthy products. Our results reveal that program participants spend more on food in general, but not necessarily more on unhealthy options. While we find evidence that participants increase their probability of spending more on food away from home, they do not significantly alter their expenditures on packaged food, alcohol, or tobacco products.

Indexed as

Conditional cash transfer programPropensity score matching estimationUnhealthy consumption

Identifiers

PMID37383885
PMCPMC10297731

What OpenQuestion holds

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LicenceCC BY
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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.