Evidence map›Paper›PMID 34978668›Full record

ArticleEuropean journal of epidemiology2022

Lifestyle risk factors and all-cause and cause-specific mortality: assessing the influence of reverse causation in a prospective cohort of 457,021 US adults.

Leandro F M Rezende, Gerson Ferrari, Dong Hoon Lee, Dagfinn Aune, Bing Liao, Wentao Huang, Jing Nie, Yafeng Wang, Edward Giovannucci

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Article in European journal of epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

9 authors.

Leandro F M RezendeDepartamento de Medicina Preventiva, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil.
Gerson FerrariUniversidad de Santiago de Chile (USACH), Escuela de Ciencias de la Actividad Física, el Deporte y la Salud, Santiago, Chile.
Dong Hoon LeeDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Dagfinn AuneDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Bing LiaoSchool of Nursing, Guangdong Pharmaceutical University, Haizhu District, Guangzhou, China.
Wentao HuangSchool of Nursing, Guangdong Pharmaceutical University, Haizhu District, Guangzhou, China.
Jing NieDepartment of Sociology & Institute for Empirical Social Science Research, School of Humanities and Social Sciences, Xi'an Jiaotong University, 28 Xianning West Road, Xi'an, 710049, Shaanxi, China. njamm.5818@stu.xjtu.edu.cn.
Yafeng WangDepartment of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, Wuhan, China.
Edward GiovannucciDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLifestyle risk factors have been associated with increased all-cause and cause-specific mortality, but the influence of reverse causation has been underappreciated as a limitation in epidemiological studies.

methodsProspective cohort study including 457,021 US adults from the National Health Interview Survey 1997-2013 linked to the National Death Index records through December 31, 2015. Multivariable Cox models were performed to examine the association of lifestyle risk factors with all-cause and cause-specific mortality. Participants with prevalent diseases and the first 2, 5, 10, and 15 years of follow-up were excluded to account for reverse causation.

resultsDuring 4,441,609 person-years, we identified 60,323 total deaths. Heavy alcohol drinking (HR 1.12; 95% CI 1.08 to 1.16), smoking (HR 1.78; 95% CI 1.74 to 1.83) and lack of physical activity (HR 1.51; 95% CI 1.47 to 1.54) were associated with increased all-cause mortality. Overweight was associated with lower all-cause mortality (HR 0.88; 95% CI 0.86 to 0.90). After exclusion of participants with diseases and first 10 years of follow-up, associations changed to: heavy alcohol drinking (HR 1.31; 95% CI 1.20 to 1.43), smoking (HR 1.99; 95% CI 1.87 to 2.11), lack of physical activity (HR 1.21; 95% CI 1.15 to 1.27), and overweight (HR 1.05; 95% CI 1.00 to 1.10).

conclusionsMethods to account for reverse causation suggest different effects of reverse causation on the associations between lifestyle risk factors and mortality. Exclusion of participants with diseases at baseline, and exclusion of 5-10 years of follow-up may be necessary to mitigate reverse causation.

Indexed as

Cardiovascular DiseasesLife StyleAdultCause of DeathCohort StudiesHumansProspective StudiesRisk FactorsBiasLifestyle risk factorsMortalityProspective study

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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.