Evidence map›Paper›PMID 24223743›Full record

ArticlePloS one2013

Physical activity, smoking, and alcohol consumption in association with incidence of type 2 diabetes among middle-aged and elderly Chinese men.

Liang Shi, Xiao-Ou Shu, Honglan Li, Hui Cai, Qiaolan Liu, Wei Zheng, Yong-Bing Xiang, Raquel Villegas

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 6 pooled it
7.8field-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

68 citing papers in PubMed, 6 syntheses or guidelines pooled it, 141 citations in OpenAlex.

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8 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

8 authors at 4 institutions in 2 countries.

Liang ShiDepartment of Medicine, Division of Epidemiology and Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America ; Department of Diabetes Control and Prevention, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, People's Republic of China.
Xiao-Ou Shu
Honglan Li
Hui Cai
Qiaolan Liu
Wei Zheng
Yong-Bing Xiang
Raquel Villegas
Vanderbilt University Medical Center · USShanghai Cancer Institute · CNCenters for Disease Control and Prevention · USSichuan University · CN

Funding

Cohort Study of Cancer inhibitory Factors in MenR01CA082729 · NCI · VANDERBILT UNIVERSITY · PI SHU, XIAO-OU · 2001 to 2011
$6.3M
Shanghai Men's Health StudyUM1CA173640 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI SHU, XIAO-OU · 2013 to 2017
$4.9M
Vanderbilt-Shanghai Chronic Disease Research Training ProgramD43TW008313 · FIC · VANDERBILT UNIVERSITY · PI SHU, XIAO-OU · 2009 to 2013
$1.1M
FIC NIH HHS D43 TW008313NCI NIH HHS R01 CA082729NCI NIH HHS UM1 CA173640PHS HHS D43 TX008313
6 · The paper itself

Abstract

backgroundType 2 diabetes mellitus (T2DM) is a prevalent chronic disease worldwide. The prevalence of T2DM is increasing rapidly in China. Understanding the contribution of modifiable lifestyle factors on T2DM risk is imperative to prevent the development of T2DM in China.

methodsWe examined associations between lifestyle factors including physical activity, smoking and alcohol consumption with incidence of T2DM among middle-aged and elderly men in urban Shanghai. Information on socio-demographics, lifestyle habits, dietary habits, and disease history was collected via in-person interviews. Anthropometric measurements were taken. A total of 51 464 Chinese men aged 40-74 years free of T2DM, coronary heart disease (CHD), and stroke at baseline were included in the current study. Incident T2DM was identified through follow-up surveys conducted every 2-3 years. Cox proportional hazard analyses were conducted to evaluate associations between lifestyle risk factors and incidence of T2DM.

resultsWe documented 1304 new cases of T2DM during 276 929 person-years of follow-up (average: 5.4 years). Physical activity was inversely associated with T2DM risk. Daily living, commuting, and total physical activity METs had inverse negative dose-response relationships with T2DM (P-trend = 0.0033, 0.0022, and <0.0001, respectively). Regular participation in exercise or sports reduced T2DM risk (HR = 0.86, 95%CI: 0.76-0.98). Moderate alcohol intake (1-3 drinks/day) was inversely related to T2DM risk (HR = 0.80, 95%CI: 0.67-0.94). Cigarette smoking, on the other hand, was associated with increased T2DM risk; HRs were 1.25 (95%CI: 1.00-1.56) for smoking more than 20 cigarettes per day and 1.28 (95%CI: 1.04-1.57) for smoking more than 40 pack-years.

conclusionsPhysical activity and moderate alcohol intake are inversely associated with T2DM risk, whereas smoking was positively associated with T2DM risk among middle-age and elderly Chinese men. Preventive measures should be developed to focus on these modifiable lifestyle habits to reduce the upward trend of T2DM.

Indexed as

Sedentary BehaviorAdultAgedAlcohol DrinkingChinaDiabetes Mellitus, Type 2HumansIncidenceMaleMiddle AgedMotor ActivityProportional Hazards ModelsRisk FactorsSmoking

Identifiers

PMID24223743
PMCPMC3817165
OpenAlexW2063928557

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.