Evidence map›Paper›PMID 34958367›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2022

Joint Associations of Multiple Lifestyle Factors With Risk of Active Tuberculosis in the Population: The Singapore Chinese Health Study.

Huiqi Li, Cynthia B E Chee, Tingting Geng, An Pan, Woon Puay Koh

Open access · greenAbstract read
PubMed Full text at PMC Publisher
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Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.2field-weighted citation impact, top 45% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

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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

5 authors at 3 institutions in 2 countries.

Huiqi LiDepartment of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China.
Cynthia B E CheeSingapore Tuberculosis Control Unit, Tan Tock Seng Hospital, Singapore.
Tingting GengDepartment of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China.
An PanDepartment of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China.
Woon Puay KohHealthy Longevity Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singaporeand.
Huazhong University of Science and Technology · CNAgency for Science, Technology and Research · SGTan Tock Seng Hospital · SG

Funding

Prospective studies of cancer etiology and prevention in Shanghai and SingaporeR01CA144034 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI YUAN, JIAN-MIN · 2010 to 2014
$7.0M
Cancer epidemiology cohorts in Shanghai and Singapore UM1CA182876 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI YUAN, JIAN-MIN · 2014 to 2018
$4.3M
NCI NIH HHS R01 CA144034NCI NIH HHS UM1 CA182876
6 · The paper itself

Abstract

backgroundLittle is known about the joint associations of multiple lifestyle risk factors including smoking, low body mass index, physical inactivity, alcohol consumption, and low diet quality with risk of active tuberculosis.

methodsWe analyzed data from the Singapore Chinese Health Study, a prospective cohort study of 63 257 Chinese adults aged 45-74 years enrolled between 1993 and 1998. Incident cases of active tuberculosis were identified via linkage with the National TB Registry through 31 December 2016. Cox proportional hazards regression models were used to compute hazard ratios (HRs) and 95% confidence intervals (CIs) of tuberculosis risk in relation to the combined scores of lifestyle risk factors.

resultsCompared with participants with none of the risk factors, the adjusted HRs (95% CI) of active tuberculosis for participants with 1, 2, 3, 4, and 5 risk factors were 1.24 (1.02-1.51), 1.84 (1.51-2.23), 2.52 (2.03-3.14), 4.07 (3.07-5.41), and 9.04 (5.44-15.02), respectively (Ptrend < .0001). The HR for those with 5 factors was ~1.5 times the product of individual risk estimates from the 5 factors on a multiplicative scale. The stepwise increase in risk of active tuberculosis with increasing number of lifestyle risk factors was significantly stronger in participants with diabetes than their counterparts without diabetes at recruitment (Pinteraction = .01).

conclusionsMultiple lifestyle risk factors were associated with risk of active tuberculosis in a synergistic manner. Our findings highlight the importance of public health programs and interventions targeting these factors simultaneously to reduce the tuberculosis burden among the general population.

Indexed as

Diabetes MellitusTuberculosisAdultChinaHumansLife StyleProspective StudiesRisk FactorsSingaporecohortlifestyle factorstuberculosis

Identifiers

PMID34958367
PMCPMC9410721
OpenAlexW4200080697

What OpenQuestion holds

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Registered trials

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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.