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CN 34-1304/RISSN 1674-3679

Volume 28 Issue 2
Feb.  2024
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LIANG Xinyue, CHEN Xiaoxiao, WANG Liangyou, WANG Tingting, WANG Shanling, XIE Yali, LIN Haijiang, HE Na. Study on the status and correlation factors of multiple chronic conditions among health examination participants aged ≥45 years in a community in Taizhou City[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(2): 233-240. doi: 10.16462/j.cnki.zhjbkz.2024.02.017
Citation: LIANG Xinyue, CHEN Xiaoxiao, WANG Liangyou, WANG Tingting, WANG Shanling, XIE Yali, LIN Haijiang, HE Na. Study on the status and correlation factors of multiple chronic conditions among health examination participants aged ≥45 years in a community in Taizhou City[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(2): 233-240. doi: 10.16462/j.cnki.zhjbkz.2024.02.017

Study on the status and correlation factors of multiple chronic conditions among health examination participants aged ≥45 years in a community in Taizhou City

doi: 10.16462/j.cnki.zhjbkz.2024.02.017
Funds:

Special Support Program for High Level Talents in Taizhou TZ2022-2

More Information
  • Corresponding author: LIN Haijiang, E-mail: fudanlhj@qq.com; HE Na, E-mail: nhe@fudan.edu.cn
  • Received Date: 2023-05-09
  • Rev Recd Date: 2023-08-23
  • Available Online: 2024-03-30
  • Publish Date: 2024-02-10
  •   Objective  To investigate the distribution characteristics and risk factors of common chronic health conditions and multiple chronic conditions(MCCs) among the physical examination population aged ≥45 years in Taizhou City.  Methods  Based on a cross-sectional study, the health records of people aged ≥45 years who participated in routine health examination at a community health service center in a District of Taizhou city from January to December 2021 were collected. Chi-square test, t test and variance analysis were used to analyze the distribution of chronic health conditions and related health risk factors. Ordered logistic regression was used to analyze the co-existing factors of MCCs.  Results  A total of 13 020 subjects were included in the study. The overall detection rate of chronic health conditions was 93.07%, with the following rates: hypertension (58.22%), fatty liver (41.31%), abnormal renal function (34.55%), abnormal electrocardiogram (31.80%), dyslipidemia (23.47%), abnormal liver function (20.60%), diabetes (13.45%), and anemia (10.43%). The study identified five chronic disease-related risk factors among the subjects, including lack of exercise (77.26%), unbalanced diet (71.27%), central obesity (55.98%), smoking (32.84%) and alcohol consumption (32.28%). 71.87% of the subjects had MCCs, with hypertension, fatty liver, abnormal renal function, and dyslipidemia being the main components. The results of ordered logistic regression indicated that for each year of age increase (aOR=1.010, 95% CI: 1.006-1.014, P < 0.001), females (aOR=1.396, 95% CI: 1.291-1.510, P < 0.001) and the presence of 2 (aOR=1.169, 95% CI: 1.054-1.295, P=0.003), 3 (aOR=1.561, 95% CI: 1.409-1.730, P < 0.001) and 4 or more (aOR=1.887, 95% CI: 1.668-2.134, P < 0.001) health risk factors were associated with an increased risk of MCCs.  Conclusions  The aggregation of health risk factors is common in the physical examination population aged ≥45 years in Taizhou City, and the prevalence of multiple chronic conditions is notably high. Advanced age, female gender, and the presence of multiple risk health factors may significantly increase the risk of experiencing multiple chronic conditions, necessitating the enhancement of relevant policies.
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