Evidence map›Paper›PMID 36100302›Full record

ArticleBMJ open2022

Incidence rate, risk factors and behaviour changes for alcohol drinking: findings from a community-based cohort study in Southwest China.

Bingbing Zhu, Jie Zhou, Yun Chen, Kelin Xu, Yanli Wu, Yiying Wang, Na Wang, Tao Liu, Chaowei Fu

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 25% of its field
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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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

9 authors at 2 institutions in 1 country.

Bingbing Zhu *NHC Key Laboratory of Health Technology Assessment, Fudan University School of Public Health, Shanghai, China.ORCID 0000-0002-8697-8733
Jie Zhou *Institute of Chronic Disease Control, Guizhou Center for Disease Control and Prevention, Guiyang, Guizhou Province, China.
Yun ChenNHC Key Laboratory of Health Technology Assessment, Fudan University School of Public Health, Shanghai, China.
Kelin XuNHC Key Laboratory of Health Technology Assessment, Fudan University School of Public Health, Shanghai, China.
Yanli WuInstitute of Chronic Disease Control, Guizhou Center for Disease Control and Prevention, Guiyang, Guizhou Province, China.
Yiying WangInstitute of Chronic Disease Control, Guizhou Center for Disease Control and Prevention, Guiyang, Guizhou Province, China.
Na WangNHC Key Laboratory of Health Technology Assessment, Fudan University School of Public Health, Shanghai, China.
Tao LiuInstitute of Chronic Disease Control, Guizhou Center for Disease Control and Prevention, Guiyang, Guizhou Province, China fcw@fudan.edu.cn liutaombs@163.com.
Chaowei FuNHC Key Laboratory of Health Technology Assessment, Fudan University School of Public Health, Shanghai, China fcw@fudan.edu.cn liutaombs@163.com.ORCID 0000-0003-0966-8552
Fudan University · CNGuizhou Center for Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo describe changes in alcohol drinking behaviour, estimate the incidence rate of alcohol drinking and explore its risk factors in the Chinese community population.

designA community population prospective cohort study.

settingA total of 48 townships of 12 counties or districts in Guizhou province, China.

participantsWith the multistage proportional stratified cluster sampling method, a total of 7343 adult residents were enrolled into this study and eligible to be analysed. PRIMARY AND SECONDARY OUTCOME MEASURES: The incidence rate and its risk factor (adjusted HR (aHR) and 95% CIs) as well as the prevalence of alcohol drinking.

resultsThere was a little increase trend in the overall prevalence of alcohol drinking among 7343 subjects over an average of 7.22-year follow-up, and the prevalence in women increased by 2.5% statistically (p=0.001). Among 5005 non-drinkers in 7343 subjects at baseline, 1107 incident drinkers were identified, and the incidence rate of alcohol drinking was estimated at 30.63/1000 person-years with significant sex difference (57.46 vs 17.99 per 1000 person-years for men and women, respectively, p<0.001). The incidence rate decreased gradually with age, peaking in men aged 18-29 years old and women aged 30-39 years old at baseline. After the adjustment for covariates, being male (aHR=3.46, 95% CI: 3.02 to 3.96), being non-Han Chinese (aHR=1.65, 95% CI: 1.44 to 1.88), living in urban areas (aHR=3.50, 95% CI: 3.01 to 4.08), being employed (aHR=1.33, 95% CI: 1.16 to 1.52), smoking (aHR=1.17, 95% CI: 1.00 to 1.38) and having no history of chronic diseases (aHR=1.19, 95% CI: 1.04 to 1.35) were independent risk factors for incident drinkers.

conclusionThe number of women increased in the prevalence of alcohol drinking significantly although there was no significant overall change for the cohort population in Southwest China. Also, there was a high risk of developing alcohol drinking among the study population, especially for those non-drinkers who were younger men, non-Han Chinese, living in urban areas, employed, current smokers or without any chronic diseases. Interventions to prevent and manage alcohol consumption should be designed and implemented in Chinese communities as soon as possible.

Indexed as

Alcohol DrinkingAdolescentAdultChinaCohort StudiesFemaleHumansIncidenceMaleProspective StudiesRisk FactorsYoung AdultEPIDEMIOLOGYNutritionPUBLIC HEALTH

Identifiers

PMID36100302
PMCPMC9472170
OpenAlexW4295759619

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.