Evidence map›Paper›PMID 31588027›Full record

ArticleJournal of the American Medical Directors Association2020

Leisure Activities and All-Cause Mortality Among the Chinese Oldest-Old Population: A Prospective Community-Based Cohort Study.

Zhi-Hao Li, Xi-Ru Zhang, Yue-Bin Lv, Dong Shen, Fu-Rong Li, Wen-Fang Zhong, Qing-Mei Huang, Xian-Bo Wu, Yi Zeng, Xiang Gao and 2 more

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Medical Directors Association, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
4.8field-weighted citation impact, top 5% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 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

12 authors at 4 institutions in 2 countries.

Zhi-Hao LiDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China.
Xi-Ru ZhangDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China.
Yue-Bin LvNational Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Dong ShenDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China.
Fu-Rong LiDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China.
Wen-Fang ZhongDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China.
Qing-Mei HuangDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China.
Xian-Bo WuDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China.
Yi ZengCenter for Study of Healthy Aging and Development Studies, Peking University, Beijing, China.
Xiang GaoNutritional Epidemiology Lab, Pennsylvania State University, Philadelphia, PA, USA.
Xiao-Ming ShiNational Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China. Electronic address: shixm@chinacdc.cn.
Chen MaoDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China. Electronic address: maochen9@smu.edu.cn.
Southern Medical University · CNChinese Center For Disease Control and Prevention · CNPeking University · CNPennsylvania State University · US

Funding

THE RANGE OF MALE-FEMALE MORTALITY DIFFERENCESP01AG031719 · NIA · DUKE UNIVERSITY · PI ZENG, YI · 2009 to 2020
$10.2M
Demographic Analysis on Determinants of Healthy Longevity in ChinaR01AG023627 · NIA · DUKE UNIVERSITY · PI ZENG, YI · 2004 to 2014
$3.9M
NIA NIH HHS P01 AG031719NIA NIH HHS R01 AG023627
6 · The paper itself

Abstract

objectiveTo investigate associations between leisure activities, examining each activity separately and in combination, and all-cause mortality among the Chinese oldest-old (≥80 years) population.

designProspective cohort study.

settingCommunity-living, the oldest-old from 22 provinces in China.

participantsWe included 30,070 Chinese individuals aged ≥80 years (mean age: 92.7 years) from the Chinese Longitudinal Healthy Longevity Survey from 1998 to 2014. MEASUREMENTS: Cox proportional hazards models were used to estimate relationships between leisure activities and all-cause mortality, adjusting for covariates including sociodemographic and lifestyle factors, self-reported medical history, and other potential confounders.

resultsDuring 110,278 person-years of follow-up, 23,661 deaths were documented. Participants who engaged in watching TV or listening to the radio, playing cards or mah-jong, reading books or newspapers, gardening, keeping domestic animals or pets, or attending religious activities "almost every day" had a significantly lower mortality risk (adjusted hazard ratios ranged from 0.82 to 0.89; P < .01 for all) than did participants who "never" engaged in those activities. Furthermore, engagement in multiple leisure activities was associated with a reduced risk of all-cause mortality (P for the trend < .001). CONCLUSIONS AND IMPLICATIONS: Frequent participation in leisure activities might help decrease the risk of death in the Chinese oldest-old population. This finding has important implications for public health policy and encourages the incorporation of a broad range of leisure activities into the daily lives of oldest-old individuals.

Indexed as

Leisure ActivitiesMortalityAged, 80 and overChinaCohort StudiesHumansLongitudinal StudiesProportional Hazards ModelsProspective Studiescohort studyLeisure activitymortalityoldest-old

Identifiers

PMID31588027
PMCPMC8019061
OpenAlexW2978620104

What OpenQuestion holds

Textmetadata
LicenceTDM
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.