Evidence map›Paper›PMID 39407128›Full record

ArticleBMC geriatrics2024

Social isolation and likelihood of becoming centenarians: evidence from the Chinese longitudinal healthy longevity survey.

Yaqi Li, Guliyeerke Jigeer, Yuebin Lv, Kaiyue Wang, Yinshun Peng, Liang Sun, Xiaoming Shi, Xiang Gao

Abstract read
In one paragraph

Article in BMC geriatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. The centenarian blueprint: lessons in defying Parkinson's disease.Journal of neural transmission (Vienna, Austria : 1996) · 2025
    Review
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

8 authors.

Yaqi Li *Department of Nutrition and Food Hygiene, School of Public Health, Institute of Nutrition, Zhongshan Hospital, Fudan University, 130 Dongan Road, Shanghai, 200032, China.
Guliyeerke Jigeer *Department of Nutrition and Food Hygiene, School of Public Health, Institute of Nutrition, Zhongshan Hospital, Fudan University, 130 Dongan Road, Shanghai, 200032, China.
Yuebin LvChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
Kaiyue WangDepartment of Nutrition and Food Hygiene, School of Public Health, Institute of Nutrition, Zhongshan Hospital, Fudan University, 130 Dongan Road, Shanghai, 200032, China.
Yinshun PengDepartment of Nutrition and Food Hygiene, School of Public Health, Institute of Nutrition, Zhongshan Hospital, Fudan University, 130 Dongan Road, Shanghai, 200032, China.
Liang SunDepartment of Nutrition and Food Hygiene, School of Public Health, Institute of Nutrition, Zhongshan Hospital, Fudan University, 130 Dongan Road, Shanghai, 200032, China.
Xiaoming ShiChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 102206, China. shixm@chinacdc.cn.
Xiang GaoDepartment of Nutrition and Food Hygiene, School of Public Health, Institute of Nutrition, Zhongshan Hospital, Fudan University, 130 Dongan Road, Shanghai, 200032, China. xiang_gao@fudan.edu.cn.

Funding

Startup grant at Fudan University JIF201015YStartup grant at Fudan University JIF201018Ythe key projects in the three-year plan of Shanghai municipal public health system (2023-2025) GWVI-4 and GWVI-11.1-42
6 · The paper itself

Abstract

backgroundSocial isolation, defined as an individual's lack of social connections, is particularly prevalent among older adults. However, its association with health outcomes among the oldest-old population (aged 80 and above) was understudied.

aimsTo examine the association between social isolation and the likelihood of becoming a centenarian among the oldest-old people in China, aiming to provide novel insights into promoting healthy aging and longevity.

methodsUsing data from The Chinese Longitudinal Healthy Longevity Survey, conducted in 22 provinces in mainland China since 1998, we performed a community-based, prospective nested case-control study. The primary outcome was survival to the age of 100 by 2018 (the end of follow-up). Information on social isolation and other covariates was collected via a questionnaire at baseline. The degree of social isolation was categorized as low, moderate, and high. Included (n = 5,716) were 1,584 identified centenarians and 4,132 controls (deceased before reaching 100 years), matched by age, sex, and year of entry. A conditional logistic regression model was used to evaluate the association between social isolation and the likelihood of becoming a centenarian, adjusting for demographic factors, lifestyle factors, chronic disease, potential disability, optimistic attitude, and perceived loneliness.

resultsIndividuals with the highest social isolation score had lower odds of becoming centenarians (adjusted OR:0.82; 95% CI: 0.68, 0.98), relative to those with the least social isolation (P-value < 0.05), and this association persisted in sensitivity analyses. The association was more pronounced among ever smokers, compared to never smokers (P-value = 0.001). We did not observe significant interactions between social isolation and other covariates (P-value > 0.05 for all).

conclusionsThis study highlights the inverse association between social isolation and the likelihood of becoming a centenarian, emphasizing the need for public health initiatives to combat isolation in the older population.

Indexed as

LongevitySocial IsolationAged, 80 and overCase-Control StudiesChinaEast Asian PeopleFemaleHealthy AgingHumansLongitudinal StudiesMaleProspective StudiesCase-control studyLongevitySocial isolationThe oldest-old

Identifiers

PMID39407128
PMCPMC11476547

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LicenceCC BY-NC-ND
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Registered trials

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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.