Analysis and judgment of age of physiological aging inflection point of Jiangxi community residents

ZHANG Langlang; XIONG Junxi; LIU Yong; YANG Shanlan; TU Jiaxin; HUANG Helang; WU Lei

doi:10.16462/j.cnki.zhjbkz.2024.02.010

Volume 28 Issue 2

Feb. 2024

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ZHANG Langlang, XIONG Junxi, LIU Yong, YANG Shanlan, TU Jiaxin, HUANG Helang, WU Lei. Analysis and judgment of age of physiological aging inflection point of Jiangxi community residents[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(2): 191-197. doi: 10.16462/j.cnki.zhjbkz.2024.02.010

Citation:

ZHANG Langlang, XIONG Junxi, LIU Yong, YANG Shanlan, TU Jiaxin, HUANG Helang, WU Lei. Analysis and judgment of age of physiological aging inflection point of Jiangxi community residents[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(2): 191-197. doi: 10.16462/j.cnki.zhjbkz.2024.02.010

Citation:

ZHANG Langlang, XIONG Junxi, LIU Yong, YANG Shanlan, TU Jiaxin, HUANG Helang, WU Lei. Analysis and judgment of age of physiological aging inflection point of Jiangxi community residents[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(2): 191-197. doi: 10.16462/j.cnki.zhjbkz.2024.02.010

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Analysis and judgment of age of physiological aging inflection point of Jiangxi community residents

doi: 10.16462/j.cnki.zhjbkz.2024.02.010

School of Public Health of Nanchang University, Jiangxi Province Key Laboratory of Preventive Medicine, Nanchang 330006, China

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: 2023-04-28
Rev Recd Date: 2023-07-04

Available Online: 2024-03-30

Publish Date: 2024-02-10

Abstract

Abstract

Objective To explore the dynamic changes and inflection points of physiological aging in residents of different ages, and to provide reference for the study of anti-aging/anti-aging measures in different age groups. Methods A multi-stage stratified cluster sampling method was used to select 5 106 community residents aged over 20 years in some communities in Jiangxi Province. The physiological aging degree score of the sample population was measured by physiological-psychological-social three dimensional human aging scale, and the physiological aging curve of the sample population was fitted by locally weighted scatterplot smoothing curve method. According to the results of physiological aging score, the residents were divided into aging group and non-aging group, and the receiver operator characteristic curve was drawn to determine the cut-off value of the inflection point of physiological aging, and a series of indicators such as area under curve value were used to evaluate its predictive value. The binary logistic regression model adjustment of the confounding factors affecting the inflection point was carried out, and the predictive value of the age of the inflection point on aging degree was verified by the C index. Results The physiological aging degree of residents of different ages increased with age; There were four inflection point ages at different stages of life, namely 38.2 years(AUC=0.586, P < 0.01), 49.4 years(AUC=0.555, P < 0.01), 68.9 years(AUC=0.545, P < 0.01), 76.9 years(AUC=0.546, P < 0.01); The logistic regression results showed that after controlling for the mixed effects, the inflection point age had predictive value on the change of physiological aging, and the C index of young people was 0.694 (P=0.03), that of middle-aged people was 0.601 (P < 0.01), that of young and elderly people was 0.658 (P < 0.01), and that of the elderly was 0.627 (P < 0.01). Conclusions The process of physiological aging in human body is not uniform, and physiological aging of people of different ages has inflection points, and inflection points are significant after model verification.
- Aging,
- Physiological aging,
- Inflection point age,
- Receiver operator characteristic curve,
- Epidemiology

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References(23)

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