Evidence map›Paper›PMID 37526907›Full record

ArticleGeroScience2024

Associations of healthy aging index and all-cause and cause-specific mortality: a prospective cohort study of UK Biobank participants.

Zhenhuang Zhuang, Yimin Zhao, Ninghao Huang, Yueying Li, Wenxiu Wang, Zimin Song, Xue Dong, Wendi Xiao, Jinzhu Jia, Zhonghua Liu and 2 more

Abstract read
In one paragraph

Article in GeroScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Re-Engagement in Physical Activity Slows the Decline in Older Adults' Well-Being - A Longitudinal Study.Inquiry : a journal of medical care organization, provision and financing
    Article
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

12 authors.

Zhenhuang ZhuangDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China.
Yimin ZhaoDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China.
Ninghao HuangDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China.
Yueying LiDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China.
Wenxiu WangDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China.
Zimin SongDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China.
Xue DongDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China.
Wendi XiaoDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China.
Jinzhu JiaDepartment of Biostatistics, School of Public Health, Peking University, Beijing, China.
Zhonghua LiuDepartment of Biostatistics, Columbia University, New York, NY, USA.
Lu QiDepartment of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA. lqi1@tulane.edu.
Tao HuangDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China. huangtao@bjmu.edu.cn.ORCID 0000-0002-0328-1368

Funding

National Key R&D Program of China 2020YFC2003401National Natural Science Foundation of China 82173499
6 · The paper itself

Abstract

The healthy aging index (HAI) has been recently developed as a surrogate measure of biological age. However, to what extent the HAI is associated with all-cause and cause-specific mortality and whether this association differs in younger and older adults remains unknown. We aimed to quantify the association between the HAI and mortality in a population of UK adults. In the prospective cohort study, data are obtained from the UK Biobank. Five HAI components (systolic blood pressure, reaction time, cystatin C, serum glucose, forced vital capacity) were scored 0 (healthiest), 1, and 2 (unhealthiest) according to sex-specific tertiles or clinically relevant cut-points and summed to construct the HAI (range 0-10). Cox proportional hazard regression models were used to estimate the associations of the HAI with the risk of all-cause and cause-specific mortality. 387,794 middle-aged and older participants were followed up for a median of 8.9 years (IQR 8.3-9.5). A total of 14,112 all-cause deaths were documented. After adjustments, each 1-point increase in the HAI was related to a higher risk of all-cause mortality (hazards ratio [HR], 1.17; 95%CI, 1.15-1.18). Such association was stronger among adults younger than 60 years (1.19, 1.17-1.21) than that among those 60 years and older (1.15, 1.14-1.17) (P interaction < 0.001). For each unit increment of the HAI, the multivariate-adjusted HRs for risk of death were 1.28 (1.25-1.31) for cardiovascular diseases, 1.09 (1.07-1.10) for cancer, 1.36 (1.29-1.44) for digestive disease, 1.42 (1.35-1.48) for respiratory disease, 1.42 (1.33-1.51) for infectious diseases, and 1.15 (1.09-1.21) for neurodegenerative disease, respectively. Our findings indicate that the HAI is positively associated with all-cause and cause-specific mortality independent of chronological age. Our results further underscore the importance of effective early-life interventions to slow aging and prevent premature death.

Indexed as

Healthy AgingNeurodegenerative DiseasesAgedBiological Specimen BanksCause of DeathFemaleHumansMaleMiddle AgedProspective StudiesUK BiobankBiological ageCohort studyHealthy agingMortality

Identifiers

PMID37526907
PMCPMC10828282

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.