Evidence map›Paper›PMID 35650518›Full record

ArticleBMC geriatrics2022

Combined lifestyle factors on mortality among the elder population: evidence from a Chinese cohort study.

Changqing Sun, Huimin Liu, Fei Xu, Ying Qin, Panpan Wang, Qianyu Zhou, Dandan Liu, Shanqun Jia, Qiang Zhang

Abstract read
In one paragraph

Article in BMC geriatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–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

15 citing papers in PubMed.

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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.

Changqing SunSchool of Public Health, Zhengzhou University, Zhengzhou, China.
Huimin LiuSchool of Public Health, Zhengzhou University, Zhengzhou, China.
Fei XuSchool of Public Health, Zhengzhou University, Zhengzhou, China.
Ying QinSchool of Nursing and Health, Zhengzhou University, Zhengzhou, China.
Panpan WangSchool of Nursing and Health, Zhengzhou University, Zhengzhou, China.
Qianyu ZhouSchool of Public Health, Zhengzhou University, Zhengzhou, China.
Dandan LiuSchool of Public Health, Zhengzhou University, Zhengzhou, China.
Shanqun JiaSchool of Public Health, Zhengzhou University, Zhengzhou, China.
Qiang ZhangSchool of Nursing and Health, Zhengzhou University, Zhengzhou, China. qzhang25@zzu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNumerous studies have suggested that lifestyle-related factors are associated with mortality, however limited evidence is available for the Chinese elder population.

methodsThe data of this study was obtained from the Chinese Longitudinal Health Survey (CLHLS) during 2008 - 2018, lifestyle-related factors including body mass index (BMI), smoking, drinking, consumption of vegetables and fruits, physical activity and sleep duration were included as dependent variables in the analysis. A lifestyle risk score was created using six unhealthy behaviors: smoking, drinking, unhealthy weight, physical inactivity, not eat vegetables or fruits and short or prolonged sleep. The Kaplan-Meier curves were used to illustrate the cumulative effect of lifestyle factors on mortality and cox regression models were conducted to estimate the combined effects of lifestyle-related factors on total mortality.

resultsThe results illustrated that low BMI, smoking, no fruit eating, and no physical inactivity were risk factors for total mortality. KM curves showed significant cumulative effect of unhealthy lifestyle factors on mortality. Compared with participants without any unhealthy factors, the hazard ratio (HR) for participants with six unhealthy factors was 1.335 (1.015,1.757) for all-cause mortality.

conclusionsThis study demonstrated poor adherence to a healthy lifestyle may increase all-cause mortality and specific combinations of lifestyle related factors have different effects on mortality among Chinese elderly population.

Indexed as

Asian PeopleLife StyleAgedChinaCohort StudiesHumansSedentary BehaviorVegetablesCohort studyHealthy lifestyleMortalityThe elder population

Identifiers

PMID35650518
PMCPMC9158191

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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.