Evidence map›Paper›PMID 34344673›Full record

ArticleBMJ open2021

Association between allostatic load and mortality among Chinese older adults: the Chinese Longitudinal Health and Longevity Study.

Tianhang Zhang, Lijing L Yan, Hua-Shuai Chen, Hai-Yu Jin, Chenkai Wu

Abstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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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

7 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

5 authors.

Tianhang ZhangGlobal Health Research Center, Duke Kunshan University, Kunshan, Jiangsu, China.
Lijing L YanGlobal Health Research Center, Duke Kunshan University, Kunshan, Jiangsu, China.
Hua-Shuai ChenCenter for the Study of Aging and Human Development, Duke University, Durham, North Carolina, USA.
Hai-Yu JinGlobal Health Research Center, Duke Kunshan University, Kunshan, Jiangsu, China.
Chenkai WuGlobal Health Research Center, Duke Kunshan University, Kunshan, Jiangsu, China chenkai.wu@dukekunshan.edu.cn.ORCID 0000-0002-2256-0653

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAllostatic load (AL) has shown that high burden of AL is associated with increased risk of adverse outcomes, but little attention has been paid to China with largest ageing population in the world.

objectiveThis study is to examine the association between AL and all-cause mortality among Chinese adults aged at least 60 years.

designPopulation-based prospective cohort study.

settingIn 2011-2012, an ancillary study, in which a blood test was added, including a total of 2439 participants, was conducted in eight longevity areas in the Chinese Longitudinal Healthy Longevity Survey.

participantsThe final analytical sample consisted of 1519 participants (mean±SD age: men 80.5±11.3 years; women 90.2±11.8 years and 53% women). PRIMARY OUTCOME MEASURE: Cox models were used to examine the association between AL and mortality among men and women, separately. Analyses were also adjusted for potential confounders including age, ethnicity, education and marital status, smoking and exercise.

resultsMale with a medium AL burden (score: 2-4) and high AL burden (score: 5-9) had a 33% and 118% higher hazard of death, respectively, than those with a low AL burden (score: 0-1). We did not find significant difference between females with different levels of AL burden.

conclusionHigher AL burden was associated with increased all-cause mortality among Chinese men aged at least 60 years. However, we did not find strong association among women. In conclusion, Intervention programmes targeting modifiable components of the AL burden may help prolong lifespan for older adults, especially men, in China.

Indexed as

AllostasisAgedAged, 80 and overChinaFemaleHumansLongevityLongitudinal StudiesMaleMortalityProspective Studiesepidemiologymental healthpublic health

Identifiers

PMID34344673
PMCPMC8336121

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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.