Effects of age, period, and cohort on the prevalence of frailty in Chinese older adults from 2002 to 2014

Bibliographic Data

ID22071283
AuthorsSiying Li (0000-0001-6906-8394, Wuhan University), Wenye Fan (Wuhan University), Boya Zhu (Wuhan University), Chao Ma (0000-0001-7181-5109, Wuhan University), Xiaodong Tan (0000-0002-8190-6060, Wuhan University, corresponding author), Yaohua Gu (Wuhan University, corresponding author)
Year2022
Volume10
Pages935163-935163
Publication date2022-08-12
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2022.935163
PMID36033734
OpenAlexW4291158528
LanguageEN
Citations received1
References cited39

Background: Currently, longitudinal studies on frailty are in an early stage, particularly in low- and middle-income countries. Only one study was conducted in Hong Kong to examine age-period-cohort effects on the prevalence of frailty among Chinese older adults. Objectives: This study aims to shed light on the prevalence trajectory of frailty among older adults in mainland China through the APC model and to analyze the effects of age, period, and cohort on the prevalence trajectory. Methods: The sample for this study was older adults aged 65-109 years old from the 2002 to 2014 Chinese Longitudinal Healthy Longevity Survey (CLHLS). Frailty status was measured by Rockwood FI. An age-period-cohort model was used to describe the effects of age, period, and cohort on the prevalence trajectory of frailty. Results: The prevalence of frailty among Chinese older adults changed significantly with age, period, and cohort. Furthermore, the effect of age was much stronger than the effect of period and cohort. The prevalence of frailty in the 101-103 and 104-106 age groups was 8.998 (95% CI 13.667-5.924) and 8.699 (95% CI 13.037-5.805) times higher than the in the 65-67 age group, respectively. The sensitivity analysis based on Fried's frailty phenotype showed similar results, confirming the robustness of our findings. Conclusion: All of the age effect reflecting the individual aging process, period effect reflecting change in the social environment, and birth cohort effect reflecting different generations could influence the prevalence of frailty at the population level. In contrast, the age effect was the main effect

Ageing · Cohort · Cohort effect · Cohort study · Environmental health · Population · Population ageing · Aging and Gerontology Research · Demography · Frailty in Older Adults · Insurance, Mortality, Demography, Risk Management · Medicine · Gerontology · Internal Medicine