Evidence map›Paper›PMID 35410318›Full record

ArticleBMC public health2022

A cross-sectional study of alcohol consumption and alcoholic liver disease in Beijing: based on 74,998 community residents.

Huai Wang, Pei Gao, Weixin Chen, Qianli Yuan, Min Lv, Shuang Bai, Jiang Wu

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
1.6field-weighted citation impact, top 17% 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Alcohol Consumption Behaviors and Liver Disease: Is There a Safer Drinking Practices?Medical science monitor : international medical journal of experimental and clinical research · 2025
    Review
  6. Article
  7. Article
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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

7 authors at 1 institution in 1 country.

Huai WangDepartment of Immunization, Beijing Center for Disease Prevention and Control, No.16, HePingLi Middle Street, DongCheng District, Beijing, 100013, China.
Pei GaoDepartment of Immunization, Beijing Center for Disease Prevention and Control, No.16, HePingLi Middle Street, DongCheng District, Beijing, 100013, China.
Weixin ChenDepartment of Immunization, Beijing Center for Disease Prevention and Control, No.16, HePingLi Middle Street, DongCheng District, Beijing, 100013, China.
Qianli YuanDepartment of Immunization, Beijing Center for Disease Prevention and Control, No.16, HePingLi Middle Street, DongCheng District, Beijing, 100013, China.
Min LvDepartment of Immunization, Beijing Center for Disease Prevention and Control, No.16, HePingLi Middle Street, DongCheng District, Beijing, 100013, China.
Shuang BaiDepartment of Immunization, Beijing Center for Disease Prevention and Control, No.16, HePingLi Middle Street, DongCheng District, Beijing, 100013, China.
Jiang WuDepartment of Immunization, Beijing Center for Disease Prevention and Control, No.16, HePingLi Middle Street, DongCheng District, Beijing, 100013, China. wj81732@hotmail.com.
Beijing Center for Disease Prevention and Control · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe alcohol consumption pattern, alcoholic liver disease (ALD) prevalence and related risk factors among alcohol drinkers in Beijing haven't been fully elucidated. Hence, a cross-sectional study was conducted to investigate potential link among these factors.

methodsA two-stage stratified cluster sampling was carried out in Beijing. All participants were 25 years of age or older, possessed with medical insurance, and lived in Beijing for over 6 months. As part for this investigation, participants were asked to answer a questionnaire and undergo physical examination. The questionnaire included demographic information, alcohol intake, and medical history. The physical examination included physical and Fibrotouch tests. Moreover, 10 ml blood sample was collected from each subject to examine liver functions, perform routine blood, Hepatitis B Virus (HBV) and Hepatitis C Virus (HCV).

resultsOverall, 74,988 residents participated in our study. The proportion of current drinkers among all participants was 46.10%. The differences in gender, region, age group, education, annual household income, and occupation among lifetime abstainers, former drinkers, non-weekly and weekly drinkers were significantly different (P<0.05). The ethanol intake between men and women, people living in urban and rural regions were significantly different (P<0.05). Strong spirits were commonly consumed by men, whereas, beers were commonly consumed by women. Drinking strong spirits generally lead to liver steatosis. In addition, ALD prevalence was 1.30% in participants over 25 years old. The differences in ALD prevalence between men and women, and among different age groups, were significant (P<0.05). Based on our analysis, ALD risk factors in Beijing included: gender (male), age (older than 35 years), high waist circumference, high blood pressure, high BMI, high blood sugar level, and being heavy drinkers.

conclusionCompared with other cities or regions in China, the level of alcohol consumption in Beijing is at an upper middle level. But the ALD prevalence is low likely because ethanol intake is relatively low. Our analysis revealed that heavy drinking is a major risk factor for ALD development. Hence, if alcohol consumption is unavoidable, we caution against heavy drinking.

Indexed as

Liver Diseases, AlcoholicAdultAlcohol DrinkingBeijingCross-Sectional StudiesEthanolFemaleHumansInfantMaleEthanolAlcohol consumptionAlcoholic liver diseaseCross-sectional studyPrevalenceRisk factors

Identifiers

PMID35410318
PMCPMC9003938
OpenAlexW4223458459

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.