Evidence map›Paper›PMID 26521133›Full record

ArticleBMC public health2015

Tobacco use and household expenditures on food, education, and healthcare in low- and middle-income countries: a multilevel analysis.

Young Kyung Do, Mary Ann Bautista

Abstract read
In one paragraph

Article in BMC public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  8. Spatial spillovers of violent conflict amplify the impacts of climate variability on malaria risk in sub-Saharan Africa.Proceedings of the National Academy of Sciences of the United States of America · 2024
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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

2 authors.

Young Kyung DoDepartment of Health Policy and Management, Seoul National University College of Medicine and Institute of Health Policy and Management, Seoul National University Medical Research Center, 103 Daehak-ro, Jongno-gu, Seoul, 110-799, Korea. ykdo89@snu.ac.kr.
Mary Ann BautistaSaw Swee Hock School of Public Health, National University of Singapore, 21 Lower Rd, Singapore, 119077, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe majority of one billion smokers worldwide live in low- and middle-income countries (LMICs) and the highest proportion of smokers in most of these countries belong to the lower socioeconomic groups. This study aimed to investigate the associations between tobacco use within households and expenditures on food, education, and healthcare in LMICs.

methodsUsing data from the World Health Survey, this cross-sectional study included a sample of 53,625 adult males aged <60 years from 40 LMICs. Multilevel, mixed-effects linear regression was used to determine the association between current tobacco use status of the main income provider (daily; occasional; no use) and three categories of (logged) household expenditures: food, education, and healthcare; controlling for age, level of education, household wealth quintile, marital status, urban-rural setting, country-level income group, and region.

resultsIn the preferred random-slope models that controlled for covariates, daily tobacco use was associated with lower household expenditures on education and healthcare by 8.0% (95% confidence interval: -12.8 to -3.2%) and 5.5% (-10.7 to -0.3%), respectively. The association between tobacco use and food expenditure was inconsistent across models.

conclusionsTobacco use in LMICs may have a negative influence on investment in human capital development. Addressing the tobacco use problem in LMICs could benefit not only the health and economic well-being of smokers and their immediate families but also long-run economic development at a societal level.

Indexed as

AdultCross-Sectional StudiesEducationFamily CharacteristicsFoodGlobal HealthHealth ExpendituresHealth SurveysHumansLinear ModelsMaleMiddle AgedMultilevel AnalysisPovertySocioeconomic FactorsTobacco Use

Identifiers

PMID26521133
PMCPMC4628343

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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.