Evidence map›Paper›PMID 30786877›Full record

ArticleBMC public health2019

Patterns and trends of alcohol consumption in rural and urban areas of China: findings from the China Kadoorie Biobank.

Pek Kei Im, Iona Y Millwood, Yu Guo, Huaidong Du, Yiping Chen, Zheng Bian, Yunlong Tan, Zhendong Guo, Shukuan Wu, Yujie Hua and 4 more

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed
8.6field-weighted citation impact, top 2% 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

62 citing papers in PubMed, 103 citations in OpenAlex.

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  14. Nine-year risk stratification and prediction ofFrontiers in public health · 2025
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2 more citing papers are in PubMed but not listed here.

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

14 authors at 4 institutions in 2 countries.

Pek Kei ImClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Iona Y MillwoodClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK. iona.millwood@ndph.ox.ac.uk.
Yu GuoChinese Academy of Medical Sciences, Beijing, China.
Huaidong DuClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Yiping ChenClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Zheng BianChinese Academy of Medical Sciences, Beijing, China.
Yunlong TanChinese Academy of Medical Sciences, Beijing, China.
Zhendong GuoMeilan CDC, Haikou, Hainan, China.
Shukuan WuMeilan CDC, Haikou, Hainan, China.
Yujie HuaSuzhou CDC, Suzhou, Jiangsu, China.
Liming LiDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Ling YangClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Zhengming ChenClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
China Kadoorie Biobank (CKB) collaborative group
Chinese Academy of Medical Sciences & Peking Union Medical College · CNUniversity of Oxford · GBHainan Center for Disease Control & Prevention · CNPeking University · CN

Funding

Medical Research Council MC_U137686851Medical Research Council MC_UU_00017/1Medical Research Council MC_UU_12026/2Ministry of Science and Technology of the People's Republic of China 2016YFC 0900500, 0900501, 0900504, 1303904National Natural Science Foundation of China 81390540, 81390541, 81390544Wellcome Trust 202922/Z/16/Z, 104085/Z/14/Z, 088158/Z/09/ZWellcome Trust 212946/Z/18/Z
6 · The paper itself

Abstract

backgroundIn China, alcohol consumption has increased significantly in recent decades. Little evidence exists, however, about temporal trends in levels and patterns of alcohol consumption and associated factors in adult populations.

methodsIn 2004-08, the China Kadoorie Biobank recruited ~ 512,000 adults (41% men, mean age 52 years [SD 10.7]) from 10 (5 urban, 5 rural) geographically diverse regions across China, with ~ 25,000 randomly selected participants resurveyed in 2013-14. The self-reported prevalence and patterns (e.g., amount, beverage type, heavy drinking episodes) of alcohol drinking at baseline and resurvey were compared and related to socio-demographic, health and other factors.

resultsAt baseline, 33% of men drank alcohol at least weekly (i.e., current regular), compared to only 2% of women. In men, current regular drinking was more common in urban (38%) than in rural (29%) areas at baseline. Among men, the proportion of current regular drinkers slightly decreased at resurvey (33% baseline vs. 29% resurvey), while the proportion of ex-regular drinkers slightly increased (4% vs. 6%), particularly among older men, with more than half of ex-regular drinkers stopping for health reasons. Among current regular drinkers, the proportion engaging in heavy episodic drinking (i.e., > 60 g/session) increased (30% baseline vs. 35% resurvey) in both rural (29% vs. 33%) and urban (31% vs. 36%) areas, particularly among younger men born in the 1970s (41% vs. 47%). Alcohol intake involved primarily spirits, at both baseline and resurvey. Those engaging in heavy drinking episodes tended to have multiple other health-related risk factors (e.g., regular smoking, low fruit intake, low physical activity and hypertension).

conclusionsAmong Chinese men, the proportion of drinkers engaging in harmful drinking behaviours increased in the past decade, particularly among younger men. Harmful drinking patterns tended to cluster with other unhealthy lifestyles and health-related risk factors.

Indexed as

AdultAgedAge FactorsAlcohol DrinkingBiological Specimen BanksChinaFemaleHealth BehaviorHealth StatusHumansLife StyleMaleMiddle AgedPrevalenceRisk FactorsRural PopulationAlcoholChinaPatternsTrends

Identifiers

PMID30786877
PMCPMC6383236
OpenAlexW2925187864

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.