Evidence map›Paper›PMID 36311566›Full record

ArticleFrontiers in public health2022

Prevalence and correlates of cigarette smoking among Dulong adults in China: A cross-sectional survey in 2020.

Ying Shao, Shun Zha, Mingfang Qin, Qiuyan Zhu, Xiliang Yang, Cangjiang Yang, Xinlin Wang, Yanli Zhang, Weimei Yang, Kunhua Zhou and 3 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

13 authors.

Ying ShaoDivision for Prevention and Control of Chronic Non-communicable Disease, Yunnan Center for Disease Control and Prevention, Kunming, China.
Shun ZhaDivision for Prevention and Control of Chronic Non-communicable Disease, Yunnan Center for Disease Control and Prevention, Kunming, China.
Mingfang QinExecutive Office, Yunnan Institute of Endemic Disease Control, Dali, China.
Qiuyan ZhuDivision for Prevention and Control of Chronic Non-communicable Disease, Yunnan Center for Disease Control and Prevention, Kunming, China.
Xiliang YangDivision for Prevention and Control of Chronic Non-communicable Disease, Yunnan Center for Disease Control and Prevention, Kunming, China.
Cangjiang YangDivision for Prevention and Control of Chronic Non-communicable Disease, Yunnan Center for Disease Control and Prevention, Kunming, China.
Xinlin WangDepartment for Prevention and Control of Chronic Non-communicable Disease, Nujiang Prefecture Center for Disease Control and Prevention, Lushui, China.
Yanli ZhangExecutive Office, Gonshan County Center for Disease Control and Prevention, Gongshan, China.
Weimei YangDepartment for Prevention and Control of Chronic Non-communicable Disease, Nujiang Prefecture Center for Disease Control and Prevention, Lushui, China.
Kunhua ZhouExecutive Office, Gonshan County Center for Disease Control and Prevention, Gongshan, China.
Yanmei LiExecutive Office, Gonshan County Center for Disease Control and Prevention, Gongshan, China.
Xian TangDivision for Prevention and Control of Chronic Non-communicable Disease, Yunnan Center for Disease Control and Prevention, Kunming, China.
Qiuli YuDivision for Prevention and Control of Chronic Non-communicable Disease, Yunnan Center for Disease Control and Prevention, Kunming, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The Dulong people are one of the minorities in China with the lowest population. In recent years, the lifestyle of the Dulong people has also changed drastically due to income growth and urbanization. This study aims to identify cigarette smoking prevalence and potential risk factors among Dulong adults in China. Methods: This study was conducted among 1,018 adults based on the Dulong Health Status Investigation and Evaluation (DHSIE) in Gongshan Dulong and Nu Autonomous County of Yunnan province, Southwest China. A cross-sectional design and face-to-face questionnaire were used to collect cigarette smoking habits and demographic information. Data were weighted by post-stratification weights according to the age and gender composition of Dulong resident. We also analyzed univariate and multivariate unconditional logistic regression to explore current smoking correlates. Results: The weighted prevalence of ever-smoking, currently smoking, and formerly smoking among Dulong adults is 31.3, 27.7, and 3.6%, respectively. The prevalence of ever-smoking and currently smoking among male participants (57.0 and 50.6%) is much higher than that of female participants (4.0 and 3.4%). Nearly 60% of ever-smokers and current smokers smoked more than 20 cigarettes per day, which are higher than former smokers (35.2%). Among current smokers, 33.1% relapsed, and 28.3% intend to quit smoking. By adjusting for potential confounding variables, multiple logistic regression analysis indicated that male participants (OR = 48.982, 95% CI: 25.026-95.869) and current drinkers (OR = 4.450, 95% CI: 2.556-7.746) are more likely to be current smokers. On the contrary, current smokers are also more likely to be exposed to secondhand smoke (OR = 4.269, 95% CI: 2.330-7.820) and have a higher risk of chronic respiratory disease (OR = 4.955, 95% CI: 1.669-14.706). Conclusion: Cigarette smoking is highly prevalent among the Dulong people in Southwest China. An appropriate and effective tobacco control strategy is an urgent need for this population.

Indexed as

Cigarette SmokingAdultChinaCross-Sectional StudiesFemaleHumansMaleNicotianaPrevalencecigarette smokingDulong adultminorityprevalencerisk factors

Identifiers

PMID36311566
PMCPMC9608327

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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.