Evidence map›Paper›PMID 38656070›Full record

ArticleCadernos de saude publica2024

[What does the Brazilian National Health Survey have to say about the influence of cigarette spending on household income?]

André Szklo, Mirian Carvalho de Souza, Aline de Mesquita Carvalho

Abstract readEnglish Abstract
In one paragraph

Article in Cadernos de saude publica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

André SzkloInstituto Nacional de Câncer José Alencar Gomes da Silva, Rio de Janeiro, Brasil.ORCID 0000-0003-1903-6188
Mirian Carvalho de SouzaInstituto Nacional de Câncer José Alencar Gomes da Silva, Rio de Janeiro, Brasil.ORCID 0000-0001-7516-1974
Aline de Mesquita CarvalhoInstituto Nacional de Câncer José Alencar Gomes da Silva, Rio de Janeiro, Brasil.ORCID 0000-0002-2066-3755

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In a country whose indicators of population impoverishment continue to increase, it is concerning that individuals spend money to buy cigarettes instead of using this resource in actions that strengthen aspects of the well-being of their lives and that of their families. Based on the Brazilian National Health Survey conducted in 2019, the influence of spending on manufactured cigarettes on the family budget in households with at least one smoker was estimated, stratified by sociodemographic characteristics. Brazilian smokers allocated around 8% of their average per capita monthly household income to the purchase of manufactured cigarettes. The percentage of average monthly expenditure on cigarettes reached almost 10% of this income among smokers aged 15 to 24 and was even higher for those with incomplete elementary education (approximately 11%). In the North and Northeast regions of the country, this expenditure exceeded 9%. The state with the most significant impact on household income was Acre (13.6%), followed by Alagoas (11.9%), Ceará, Pará, and Tocantins (all with approximately 11%). Our findings, therefore, reinforce the importance of strengthening the implementation of effective measures, such as tax policy, to reduce the proportion of smokers. Thus, the money that individuals currently allocate to purchase cigarettes can be used to meet their basic needs, contributing to the promotion of health and improving the quality of life.

Indexed as

Health SurveysIncomeSocioeconomic FactorsTobacco ProductsAdolescentAdultBrazilFamily CharacteristicsFemaleHumansMaleMiddle AgedSmokingYoung Adult

Identifiers

PMID38656070
PMCPMC11034624

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.