Evidence map›Paper›PMID 32631359›Full record

ArticleBMC public health2020

Smoking, heavy drinking, physical inactivity, and obesity among middle-aged and older adults in China: cross-sectional findings from the baseline survey of CHARLS 2011-2012.

Lijie Ding, Yajun Liang, Edwin C K Tan, Yin Hu, Chi Zhang, Yanxun Liu, Fuzhong Xue, Rui Wang

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 1 pooled it
6.1field-weighted citation impact, top 3% 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

50 citing papers in PubMed, 1 synthesis or guideline pooled it, 85 citations in OpenAlex.

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  9. Global prevalence of obesity in the older adults: A meta-analysis.Public health in practice (Oxford, England) · 2025
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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

8 authors at 6 institutions in 3 countries.

Lijie DingDivision of health management, School of sport social science, Shandong Sport University, Room 1415, 10600 Shijidadao Road, Jinan, 250102, China. dljie369@hotmail.com.
Yajun LiangDepartment of Public Health Sciences, Karolinska Institutet (KI), Stockholm, Sweden.
Edwin C K TanThe University of Sydney, Faculty of Medicine and Health, School of Pharmacy, Sydney, New South Wales, Australia.
Yin HuSödertälje Hospital, Stockholm, Sweden.
Chi ZhangEnergy Processes, Royal Institute of Technology, Stockholm, Sweden.
Yanxun LiuDepartment of Biostatistics, School of Public Health, Shandong University, Box 100, 44 Wenhua Xi Road, Jinan, 250012, PO, China.
Fuzhong XueDepartment of Biostatistics, School of Public Health, Shandong University, Box 100, 44 Wenhua Xi Road, Jinan, 250012, PO, China. xuefzh@sdu.edu.cn.
Rui WangAging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden. rui.wang@gih.se.
Karolinska Institutet · SEShandong University · CNKTH Royal Institute of Technology · SEMonash University · AUShandong Sport University · CNSödertälje Sjukhus · SE

Funding

Demensförbundet 2019-0000Dementia Collaborative Research Centres, Australia APP1107381Excellent Youth Development Foundation of Zhengzhou University 000000Loo och Hans Ostermans Stiftelse för Medicinsk Forskning 2017-00205Loo och Hans Ostermans Stiftelse för Medicinsk Forskning 2019-01265Vetenskapsrådet 2016-06658
6 · The paper itself

Abstract

backgroundPrevention and control of cardiometabolic conditions and cardiovascular disease (CVD) in China may contribute to sustainable CVD reduction globally, given the fact that one-fifth of the worldwide population is in China. Knowing the distribution of behavioral risk factors (e.g., smoking and physical inactivity), especially at a national level in China, would be extremely relevant to the field of public health and CVD prevention. The objectives of this study were to investigate the nationwide prevalence of obesity, smoking, heavy drinking, and physical inactivity in Chinese adults, and further explore whether cardiometabolic conditions would modify the distribution of behavioral risk factors.

methodsThis population-based study is based on the China Health and Retirement Longitudinal Study (2011-2012), including 17,302 adults (≥45 years, mean age 59.67 years, female 51.66%) from 25 provinces in China. Data on demographics, lifestyle factors, health status and history of diseases were collected via structured interviews and laboratory tests. Smoking, heavy drinking, obesity, and physical inactivity were defined following standard guidelines. We performed descriptive analysis and logistic regressions in this study.

resultsThe overall prevalence of heavy drinking, obesity, current smoking, and physical inactivity among middle-aged and older adults was 7.23% (95% confidence interval 6.53-7.29%), 11.53% (10.43-12.62%), 27.46% (26.30-28.62%), and 44.06% (41.19-46.92%), respectively. The prevalence varied between rural and urban areas as well as among geographic areas, with higher prevalence in the Northern and Northeastern regions. Heavy drinking and obesity were significantly associated with incident hypertension, diabetes, and high cholesterol; while current smoking was significantly associated with incident hypertension. Compared with healthy individuals, participants who self-reported a diagnosis of hypertension, high cholesterol, or diabetes were less likely to smoke currently and drink alcohol heavily, but more likely to be physically inactive and obese.

conclusionsAmong Chinese middle-aged and older adults, the prevalence of behavioral risk factors varies by geographic region. Further effort is required to improve physical activity and fitness for Chinese adults, especially those with cardiometabolic conditions.

Indexed as

Sedentary BehaviorAgedAlcohol DrinkingChinaCross-Sectional StudiesExerciseFemaleHealth StatusHumansLife StyleLogistic ModelsLongitudinal StudiesMaleMiddle AgedObesityPrevalenceBehavioral risk factorsCardiovascular disease preventionDiabetesHigh cholesterolHypertensionPublic health

Identifiers

PMID32631359
PMCPMC7336642
OpenAlexW3040056513

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.