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CN 34-1304/RISSN 1674-3679

Volume 27 Issue 12
Dec.  2023
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Article Contents
YANG Shanlan, TU Jiaxin, ZHANG Langlang, WU Lei, HUANG Helang. An exploratory study on the change of aging degree and inflection point age of residents in some communities in Jiangxi Province[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2023, 27(12): 1435-1441. doi: 10.16462/j.cnki.zhjbkz.2023.12.012
Citation: YANG Shanlan, TU Jiaxin, ZHANG Langlang, WU Lei, HUANG Helang. An exploratory study on the change of aging degree and inflection point age of residents in some communities in Jiangxi Province[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2023, 27(12): 1435-1441. doi: 10.16462/j.cnki.zhjbkz.2023.12.012

An exploratory study on the change of aging degree and inflection point age of residents in some communities in Jiangxi Province

doi: 10.16462/j.cnki.zhjbkz.2023.12.012
Funds:

National Natural Science Foundation of China 81960620

National Natural Science Foundation of China 81360446

National Natural Science Foundation of China 71663037

More Information
  • Corresponding author: HUANG Helang, E-mail: hhlang0821@sina.com
  • Received Date: 2022-10-25
  • Rev Recd Date: 2023-01-28
  • Publish Date: 2023-12-10
  •   Objective  To explore the characteristics of aging changes in the population, reveal the inflection point age in the whole life cycle, clarify the nonlinear process of aging development, and provide targeted intervention periods for the active health of the population.  Methods  Using multistage stratified cluster sampling, 5 106 valid subjects were selected. The physiological-psychological-social three dimensional human aging scale (PPSHAS) scale was used to measure the degree of aging. Score of the aging degree was fitted by the LOESS smoothing curve; The age of aging inflection point was analyzed by ROC curve, and its predictive value on aging degree was verified by logistic regression model and the C index.  Results  Significant differences were found in the scores of aging degree among different age groups (all P < 0.05), and it increased in a wave-like manner with age. According to the WHO′s analysis of aging inflection points for four groups (young, middle-aged, older, and elderly), the inflection point ages of aging were found to be 26.0, 38.0, 47.0, 57.1, 61.6, 68.5, 76.9, and 83.8 years, respectively (all P < 0.05). After adjusting for confounding factors, the inflection point age remained a valuable predictor of changes in the aging degree, with good model consistency (Hosmer Lemeshow test P>0.05).  Conclusions  The aging process of the human body is uniform, and the four groups of people have aging inflection points. This study is of positive significance to deeply understand aging, grasp aging laws, and do a targeted anti-aging work.
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