Evidence map›Paper›PMID 40238323›Full record

ArticleInternational journal of environmental research and public health2025

Sex Disparities in Smoked and Smokeless Tobacco Use Among Displaced Populations in Mizoram, India: A Cross-Sectional Study.

Yashika Sharma, Ruth Masterson Creber, Julia Lalmuanpuii, Sakie Zawtha, Beichotha Zawtha, Helimay Chairi, Rodani Zawkhai, Stacey Dai, So Hyeon Bang, Natalie Benda

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Yashika SharmaSchool of Nursing, University of Connecticut, Storrs, CT 06269, USA.
Ruth Masterson CreberSchool of Nursing, Columbia University, New York, NY 10032, USA.
Julia LalmuanpuiiFerrando Integrated Women Development Center, Aizawl 796025, India.
Sakie ZawthaHealth and Hope Myanmar, Aizawl 796001, India.
Beichotha ZawthaHealth and Hope Myanmar, Aizawl 796001, India.ORCID 0000-0001-9155-4225
Helimay ChairiHealth and Hope Myanmar, Aizawl 796001, India.
Rodani ZawkhaiHealth and Hope Myanmar, Aizawl 796001, India.
Stacey DaiSchool of Nursing, Columbia University, New York, NY 10032, USA.
So Hyeon BangSchool of Nursing, Columbia University, New York, NY 10032, USA.ORCID 0000-0002-6493-1950
Natalie BendaSchool of Nursing, Columbia University, New York, NY 10032, USA.ORCID 0000-0002-3256-0243

Funding

mHealth and Mobile Ultrasound for Mothers in Myanmar (mMUMM)R21HD103053 · NICHD · WEILL MEDICAL COLL OF CORNELL UNIV · PI MASTERSON CREBER, RUTH MARIE · 2021 to 2022
$373k
NICHD NIH HHS R21 HD103053NIH HHS 7R21HD103053-03A1This work was supported by the Eunice Kennedy Shriver National Institute of Child Health and Human Development (Grant #; PI Masterson Creber) R21HD103053
6 · The paper itself

Abstract

Displaced populations face an elevated risk for tobacco use, especially smokeless tobacco (SLT), due to its affordability and acceptability in regions like Mizoram State (India) and Chin State (Myanmar). Despite this, limited research exists on tobacco use patterns and contributing factors among displaced populations. This study aimed to examine smoked tobacco and SLT use among displaced communities in Mizoram, India. We collected data across nine villages using mobile health technology. We conducted logistic regression models to examine the cross-sectional associations between sex and tobacco use. Age was explored as a potential moderator. The analytic sample consisted of 2226 participants, with a mean age of 43 (±16.2) years, 63.1% of whom were women. Approximately 70% of the participants reported using tobacco, with SLT being the most common form (46.3%). Women were 57% less likely to use tobacco than men, but women aged 55 and older had twice the odds of using tobacco compared to men in the same age group. Additionally, women had nearly 71 times higher odds of using SLT compared to smoked tobacco than men. The findings underscore the need for culturally sensitive interventions targeting SLT use among women. Future research should explore the drivers of this disparity to guide public health strategies.

Indexed as

Tobacco, SmokelessTobacco UseAdolescentAdultAgedCross-Sectional StudiesFemaleHumansIndiaMaleMiddle AgedSex FactorsYoung Adultglobal healthIndiasex disparitiessmokeless tobacco usetobacco use

Identifiers

PMID40238323
PMCPMC11942137

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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.