Evidence map›Paper›PMID 24590626›Full record

ArticleAge (Dordrecht, Netherlands)2014

Association between subjective well-being and exceptional longevity in a longevity town in China: a population-based study.

Zuyun Liu, Lei Li, Jiapin Huang, Degui Qian, Fei Chen, Jun Xu, Shilin Li, Li Jin, Xiaofeng Wang

Abstract readMulticenter Study
In one paragraph

Article in Age (Dordrecht, Netherlands), 2014. 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

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

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

9 authors.

Zuyun LiuState Key Laboratory of Genetic Engineering and MOE Key Laboratory of Contemporary Anthropology, School of Life Sciences and Institutes of Biomedical Sciences, Fudan University, 200433, Shanghai, China.
Lei Li
Jiapin Huang
Degui Qian
Fei Chen
Jun Xu
Shilin Li
Li Jin
Xiaofeng Wang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To examine the associations of cognitive and emotional facets (measured by life satisfaction [LS], positive affect [PA], negative affect [NA], and affect balance [AB]) of subjective well-being (SWB) with exceptional longevity (EL), we conducted a population-based study with 463 EL individuals (95+, EL group) recruited from a longevity town of Rugao, China (N = 755, with a response rate of 71.6 %), and 926 elderly individuals (60-69, elderly/control group). The population-based controls were sampled from the resident registry according to the gender ratio of the EL group. We found that the EL group had significantly higher levels of LS (30.74 vs. 28.93), PA (3.91 vs. 3.67), and AB (7.89 vs. 7.40) and a lower level of NA (1.02 vs. 1.27) than the elderly group. Multivariate logistic regression analysis revealed that higher levels of LS, PA, AB, and NA were significantly associated with EL, with odds ratios (ORs) of 1.98 (95 % CI, 1.36-2.89), 2.35 (95 % CI, 1.59-3.48), 2.56 (95 % CI, 1.75-3.75), and 0.50 (95 % CI, 0.33-0.74), respectively. Stratification analysis showed that the associations were significant in the healthy subsample, with the following ORs: LS = 2.31, PA = 2.53, AB = 3.05, and NA = 0.39. In conclusion, SWB, with high cognitive and emotional facets, was associated with EL in the healthy Rugao population. The findings imply that interventions that aim to improve elderly individuals' SWB may promote their quality of life and, ultimately, EL.

Indexed as

Quality of LifeAffectAgedAged, 80 and overChinaEmotionsFemaleHumansLongevityMaleMiddle AgedPopulation SurveillanceRetrospective StudiesSocial Environment

Identifiers

PMID24590626
PMCPMC4082570

What OpenQuestion holds

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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.