Evidence map›Paper›PMID 28040447›Full record

ReviewMechanisms of ageing and development2017

Demographics, phenotypic health characteristics and genetic analysis of centenarians in China.

Yi Zeng, Qiushi Feng, Danan Gu, James W Vaupel

Abstract readReview
In one paragraph

Review in Mechanisms of ageing and development, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

58 citing papers in PubMed, 147 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

4 authors at 4 institutions in 4 countries.

Yi ZengCenter for the Study of Aging and Human Development, Medical School of Duke University, United States; Center for Healthy Aging and Development Studies, National School of Development, Raissun Institute for Advanced Studies, Peking University, China. Electronic address: zengyi@nsd.pku.edu.cn.
Qiushi FengDepartment of Sociology & Centre for Family and Population Research, National University of Singapore, Singapore.
Danan GuUnited Nations Population Division, United States.
James W VaupelMax Planck Institute for Demographic Research, Germany.
Max Planck Institute for Demographic Research · DENational University of Singapore · SGPeking University · CNUnited Nations Population Fund · US

Funding

STALLARD Admin Supp: Predicting Future Care Needs and Costs for Individual Medicare Enrollees with Incident Suspected Alzheimer's DiseaseP30AG034424 · NIA · DUKE UNIVERSITY · PI SCOTT M. LYNCH · 2009 to 2026
$12.2M
THE RANGE OF MALE-FEMALE MORTALITY DIFFERENCESP01AG031719 · NIA · DUKE UNIVERSITY · PI CHRISTENSEN, KAARE · 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 P30 AG034424NIA NIH HHS R01 AG023627
6 · The paper itself

Abstract

After a brief introduction to the background, significance and unique features of the centenarian population in China, we describe the Chinese Longitudinal Healthy Longevity Study (CLHLS), which is the world's largest study of centenarians, nonagenarians, octogenarians, and compatible young-old aged 65-79. Based on the CLHLS data and other relevant studies, we summarize demographic and socioeconomic characteristics as well as self-reported and objectively-tested health indicators of centenarians in China, with an emphasis on gender differences and rural/urban disparities. We then compare five-year-age-specific trajectories of physical and cognitive functions, self-reported health, and life satisfactions from ages 65-69 to 100+, concluding that good psychological resilience and optimism are keys to the exceptional longevity enjoyed by centenarians. We discuss recent findings of novel loci and pathways that are significantly associated with longevity based on the genome-wide association study (GWAS) of the CLHLS centenarian sample, which is 2.7 times as large as prior GWAS of longevity. We also highlight colleagues' and our own studies on longevity candidate genes and gene-environment interaction analyses. Finally, we discuss limitations inherent in our studies of centenarians in China and further research perspectives.

Indexed as

Gene-Environment InteractionGenome-Wide Association StudyHealth StatusPopulation DynamicsSelf ReportAdultAgedAged, 80 and overChinaCognitionFemaleHumansLongevityMaleMiddle AgedSocioeconomic FactorsCentenariansChinaGenetic variantsGxE interactionsHealth phenotypesHealthy longevity

Identifiers

PMID28040447
PMCPMC5489367
OpenAlexW2564519149

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.