Evidence map›Paper›PMID 39299789›Full record

ArticleBMJ open2024

Smoking prevalence among adults in China Mainland and their age of smoking initiation during adolescence: a national cross-sectional study.

Shumin Deng, Hao Li, Wenjing Zuo, Zifeng Liu, Yibo Wu

Abstract read
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

5 authors.

Shumin DengBig Data and Artificial Intelligence Center, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.ORCID 0000-0003-1679-6712
Hao LiSchool of Public Health, Wuhan University, Wuhan, China.ORCID 0000-0002-5155-4033
Wenjing ZuoTaikang Medical School (School of Basic Medical Sciences), Wuhan University, Wuhan, China.
Zifeng Liu *Big Data and Artificial Intelligence Center, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China bjmuwuyibo@outlook.com liuzf@mail.sysu.edu.cn.
Yibo Wu *School of Public Health, Peking University, Beijing, China bjmuwuyibo@outlook.com liuzf@mail.sysu.edu.cn.ORCID 0000-0001-9607-313X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aims to calculate the national prevalence of smoking among Chinese adults and to describe the hazard of smoking initiation by age during their adolescence, as well as the disparities in sex, residence and age groups.

designA cross-sectional study.

settingThe data were derived from a multistage sampling study conducted in 120 cities in China Mainland.

participantsA total of 9963 participants aged ≥19 years were included. PRIMARY OUTCOME MEASURES: Survival analysis was used to quantify the hazards of smoking initiation by a single year of age during adolescence, and the log-rank test was used to compare the hazard curves across subgroups.

resultsThe prevalence of current smoking among males and females was 27.7% and 2.0%, respectively, and 56.2% of current smokers began smoking at or before the age of 18. The hazard of smoking initiation during adolescence for females was less than 0.5%, and the hazard for males increased gradually before 14 years of age and increased sharply at age 15 (4.34%), then peaked at age 18 (6.24%). Males in rural experienced a higher hazard of smoking initiation than those in urban (χ

conclusionsThe prevalence of smoking among Chinese adults was lower than once reported. Males experienced higher hazards of smoking initiation at all ages than females. The hazard pattern suggests that the key focus for smoking prevention are males and adolescents aged 15-18 years, and future interventions should be delivered to the right target population at the appropriate time.

Indexed as

SmokingAdolescentAdultAgedAge FactorsChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalenceRural PopulationSex DistributionUrban PopulationYoung AdultadolescentbehaviorChinahealth policy

Identifiers

PMID39299789
PMCPMC11418542

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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.