Literature DB >> 35524107

The association between healthy aging index and trajectories of disability: a population-based cohort study.

Raoping Tu1, Huihui He2, Suhang Wang2, Jiali Ding2, Qingping Zeng2, Lu Guo2, Yueping Li3, Tianwei Xu4, Guangyu Lu2.   

Abstract

BACKGROUND: Healthy aging index (HAI) could predict adverse health consequences including mortality and disability independent of age and comorbidity. We investigated the role of HAI on trajectories of disability throughout later life based on a nationally representative sample.
METHODS: We examined 1733 participants aged over 60 years from the China Health and Retirement Longitudinal Study (CHARLS) followed for 7 years/4 waves repeatedly. Systolic blood pressure [SBP], cognitive function, cystatin C, peak expiratory flow [PEF], and fasting glucose were categorized using tertile or clinical reference range, and scored as 0 (healthiest), 1 (less healthy) and 2 (least healthy) respectively to further generate HAI summary scores (range 0-10). Disability was defined as the sum of impaired activities of daily living (ADL) and instrumental activities of daily living (IADL). We used linear mixed-effects model to study the association between HAI and trajectories of disability.
RESULTS: A total of 10.5% of participants represented in the healthiest group and 22.5% ended up as the least healthy. After adjusting for all potential confounders, disability progression was significantly faster (β = 0.27, 95% CI 0.11-0.42) in the least healthy group when comparing with the healthiest.
CONCLUSION: Our findings suggest that HAI is associated with disability progression among adults aged over 60 years old. It might be beneficial for future interventions to specifically target older adults with high HAI scores as a means of reducing disability.
© 2022. The Author(s), under exclusive licence to Springer Nature Switzerland AG.

Entities:  

Keywords:  Aging; Disability; Healthy; Index; Trajectory

Mesh:

Year:  2022        PMID: 35524107     DOI: 10.1007/s40520-022-02117-9

Source DB:  PubMed          Journal:  Aging Clin Exp Res        ISSN: 1594-0667            Impact factor:   4.481


  29 in total

1.  Mortality in Relation to Changes in a Healthy Aging Index: The Health, Aging, and Body Composition Study.

Authors:  Matthew D L O'Connell; Megan M Marron; Robert M Boudreau; Mark Canney; Jason L Sanders; Rose Anne Kenny; Stephen B Kritchevsky; Tamara B Harris; Anne B Newman
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2019-04-23       Impact factor: 6.053

2.  Changes in the prevalence of chronic disability in China: evidence from the China Health and Retirement Longitudinal Study.

Authors:  N Liu; D A Cadilhac; M F Kilkenny; Y Liang
Journal:  Public Health       Date:  2020-06-27       Impact factor: 2.427

Review 3.  Disability in older adults: evidence regarding significance, etiology, and risk.

Authors:  L P Fried; J M Guralnik
Journal:  J Am Geriatr Soc       Date:  1997-01       Impact factor: 5.562

4.  Finding the vulnerable among China's elderly: identifying measures for effective policy targeting.

Authors:  Tao Kong; Po Yang
Journal:  J Aging Soc Policy       Date:  2018-08-21

5.  Cohort Profile: the Health and Retirement Study (HRS).

Authors:  Amanda Sonnega; Jessica D Faul; Mary Beth Ofstedal; Kenneth M Langa; John W R Phillips; David R Weir
Journal:  Int J Epidemiol       Date:  2014-03-25       Impact factor: 7.196

6.  Airflow limitation is underrecognized in well-functioning older people.

Authors:  G W Waterer; J Y Wan; S B Kritchevsky; R G Wunderink; S Satterfield; D C Bauer; A B Newman; D R Taaffe; R L Jensen; R O Crapo
Journal:  J Am Geriatr Soc       Date:  2001-08       Impact factor: 5.562

7.  Cohort profile: the English longitudinal study of ageing.

Authors:  Andrew Steptoe; Elizabeth Breeze; James Banks; James Nazroo
Journal:  Int J Epidemiol       Date:  2012-11-09       Impact factor: 7.196

8.  Association of a Modified Physiologic Index with mortality and incident disability: the Health, Aging, and Body Composition study.

Authors:  Jason L Sanders; Robert M Boudreau; Brenda W Penninx; Eleanor M Simonsick; Stephen B Kritchevsky; Suzanne Satterfield; Tamara B Harris; Douglas C Bauer; Anne B Newman
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2012-04-30       Impact factor: 6.053

9.  Ankle-arm index as a marker of atherosclerosis in the Cardiovascular Health Study. Cardiovascular Heart Study (CHS) Collaborative Research Group.

Authors:  A B Newman; D S Siscovick; T A Manolio; J Polak; L P Fried; N O Borhani; S K Wolfson
Journal:  Circulation       Date:  1993-09       Impact factor: 29.690

10.  A Modified Healthy Aging Index and Its Association with Mortality: The National Health and Nutrition Examination Survey, 1999-2002.

Authors:  Chenkai Wu; Ellen Smit; Jason L Sanders; Anne B Newman; Michelle C Odden
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2017-10-01       Impact factor: 6.053

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  1 in total

1.  Improving transitional care through online communication skills training.

Authors:  Ji-Tseng Fang; Shih-Ying Chen; Lan-Yen Yang; Kuo-Chen Liao; Chung-Hao Lin; Maiko Fujimori; Woung-Ru Tang
Journal:  Aging Clin Exp Res       Date:  2022-09-21       Impact factor: 4.481

  1 in total

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