Evidence map›Paper›PMID 39307073›Full record

ArticleThe journal of nutrition, health & aging2024

Validation of intrinsic capacity and healthy sleep pattern in middle-aged and older adults: a longitudinal Chinese study assessing healthy ageing.

Xing-Ling Chen, Jin Li, Shu-Ning Sun, Xiao-Jiao Zhang, Jia-Hui Chen, Ling-Jun Wang, Zhong-Qi Yang, Shi-Hao Ni, Lu Lu

Abstract readValidation Study
In one paragraph

Article in The journal of nutrition, health & aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

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0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
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  3. Associations and interaction effects of socioeconomic, lifestyle, and genetic factors on intrinsic capacity.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
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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.

Xing-Ling ChenState Key Laboratory of Traditional Chinese Medicine Syndrome, The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou 510407, China; Lingnan Medical Research Center, Guangzhou University of Chinese Medicine, Guangzhou 510407, China; University Key Laboratory of Traditional Chinese Medicine Prevention and Treatment of Chronic Heart Failure, Guangdong Province 510407, China; Guangzhou Key Laboratory for Chinese Medicine Prevention and Treatment of Chronic Heart Failure, Guangzhou University of Chinese Medicine, Guangzhou 510407, China.
Jin LiState Key Laboratory of Traditional Chinese Medicine Syndrome, The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou 510407, China; Lingnan Medical Research Center, Guangzhou University of Chinese Medicine, Guangzhou 510407, China; University Key Laboratory of Traditional Chinese Medicine Prevention and Treatment of Chronic Heart Failure, Guangdong Province 510407, China; Guangzhou Key Laboratory for Chinese Medicine Prevention and Treatment of Chronic Heart Failure, Guangzhou University of Chinese Medicine, Guangzhou 510407, China.
Shu-Ning SunState Key Laboratory of Traditional Chinese Medicine Syndrome, The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou 510407, China; Lingnan Medical Research Center, Guangzhou University of Chinese Medicine, Guangzhou 510407, China; University Key Laboratory of Traditional Chinese Medicine Prevention and Treatment of Chronic Heart Failure, Guangdong Province 510407, China; Guangzhou Key Laboratory for Chinese Medicine Prevention and Treatment of Chronic Heart Failure, Guangzhou University of Chinese Medicine, Guangzhou 510407, China.
Xiao-Jiao ZhangState Key Laboratory of Traditional Chinese Medicine Syndrome, The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou 510407, China; Lingnan Medical Research Center, Guangzhou University of Chinese Medicine, Guangzhou 510407, China; University Key Laboratory of Traditional Chinese Medicine Prevention and Treatment of Chronic Heart Failure, Guangdong Province 510407, China; Guangzhou Key Laboratory for Chinese Medicine Prevention and Treatment of Chronic Heart Failure, Guangzhou University of Chinese Medicine, Guangzhou 510407, China.
Jia-Hui ChenState Key Laboratory of Traditional Chinese Medicine Syndrome, The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou 510407, China; University Key Laboratory of Traditional Chinese Medicine Prevention and Treatment of Chronic Heart Failure, Guangdong Province 510407, China; Guangzhou Key Laboratory for Chinese Medicine Prevention and Treatment of Chronic Heart Failure, Guangzhou University of Chinese Medicine, Guangzhou 510407, China.
Ling-Jun WangState Key Laboratory of Traditional Chinese Medicine Syndrome, The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou 510407, China; Lingnan Medical Research Center, Guangzhou University of Chinese Medicine, Guangzhou 510407, China; University Key Laboratory of Traditional Chinese Medicine Prevention and Treatment of Chronic Heart Failure, Guangdong Province 510407, China; Guangzhou Key Laboratory for Chinese Medicine Prevention and Treatment of Chronic Heart Failure, Guangzhou University of Chinese Medicine, Guangzhou 510407, China. Electronic address: smu868@gzucm.edu.cn.
Zhong-Qi YangState Key Laboratory of Traditional Chinese Medicine Syndrome, The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou 510407, China; University Key Laboratory of Traditional Chinese Medicine Prevention and Treatment of Chronic Heart Failure, Guangdong Province 510407, China; Guangzhou Key Laboratory for Chinese Medicine Prevention and Treatment of Chronic Heart Failure, Guangzhou University of Chinese Medicine, Guangzhou 510407, China. Electronic address: yangzhongqi@gzucm.edu.cn.
Shi-Hao NiState Key Laboratory of Traditional Chinese Medicine Syndrome, The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou 510407, China; Lingnan Medical Research Center, Guangzhou University of Chinese Medicine, Guangzhou 510407, China; University Key Laboratory of Traditional Chinese Medicine Prevention and Treatment of Chronic Heart Failure, Guangdong Province 510407, China; Guangzhou Key Laboratory for Chinese Medicine Prevention and Treatment of Chronic Heart Failure, Guangzhou University of Chinese Medicine, Guangzhou 510407, China. Electronic address: nishihao@stu.gzucm.edu.cn.
Lu LuState Key Laboratory of Traditional Chinese Medicine Syndrome, The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou 510407, China; Lingnan Medical Research Center, Guangzhou University of Chinese Medicine, Guangzhou 510407, China; University Key Laboratory of Traditional Chinese Medicine Prevention and Treatment of Chronic Heart Failure, Guangdong Province 510407, China; Guangzhou Key Laboratory for Chinese Medicine Prevention and Treatment of Chronic Heart Failure, Guangzhou University of Chinese Medicine, Guangzhou 510407, China. Electronic address: coinland@gzucm.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesIntrinsic capacity (IC), a multidimensional construct encompassing mental and physical capacities, has been established in the aging framework by the World Health Organization. However, the detailed relationship between IC and Chinese sleep patterns (nighttime sleep and post-lunch naps) remains inadequately elucidated.

methodsParticipants in this study were individuals aged ≥45 years residing in China, included in the China Health and Retirement Longitudinal Study (CHARLS). We analyzed 4 years of CHARLS data from the first wave (May 2011-March 2012) to the second wave (July 2015-January 2016). Data from these waves were utilized for longitudinal analysis. Self-reported data included nighttime sleep and nap duration, along with other baseline characteristics. The IC evaluation involved physical examinations and blood tests. Initially, linear regression was used to assess the relationship between total sleep duration, nighttime sleep duration, nap duration, and IC change between the two waves that were determined by marginal effects (ME) and their corresponding 95% confidence intervals (CIs). Regression splines were employed to explore potential nonlinear associations. Subgroup and sensitivity analyses were conducted to investigate the heterogeneity of IC change under specific conditions and the robustness of our results. Mediation analysis was performed to identify potential factors mediating the relationship between sleep patterns and IC change.

resultsBoth excessive (>10 h) (total, ME: -1.12; 95% CI: -1.61, -0.64; nighttime, ME: -1.44; 95% CI: -2.29, -0.59) and insufficient (<6 h) sleep duration (total, ME: -0.43; 95% CI: -0.68, -0.18; nighttime, ME: -0.50; 95% CI: -0.73, -0.27) negatively impacted IC change. Moderate naps (≤60 min) mitigated the decline in IC change (ME: 0.28; 95% CI: 0.07, 0.49). IC values decreased at the slowest rate when nap time constituted one-seventh of total sleep time. The onset of dyslipidemia partially mediated the association between naps (≤60 min) and IC change (P =  0.02).

conclusionsThese findings suggest that maintaining a healthy sleep pattern of 6-8 h of nighttime or total sleep, along with a post-lunch nap of ≤60 min, helps preserve optimal IC or delay its decline. This is particularly beneficial for cognitive, psychological, and locomotion performance among middle-aged and older adults.

Indexed as

Healthy AgingSleepAgedChinaFemaleHumansLongitudinal StudiesMaleMiddle AgedSelf ReportCognitiveFunctional performanceICLocomotionNapPsychological

Identifiers

PMID39307073
PMCPMC12879214

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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.