IMR Press / RCM / Volume 23 / Issue 11 / DOI: 10.31083/j.rcm2311385
Open Access Original Research
Associations between Physical Activity Trajectories and Incident Hypertension
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1 Department of Rehabilitation Medicine, Ningbo No.2 Hospital, University of the Chinese Academy of Sciences, 315010 Ningbo, Zhejiang, China
2 Centers for Disease Control and Prevention of Suzhou High-tech Zone, 215000 Suzhou, Jiangsu, China
3 Department of Global Health, Ningbo Institute of Life and Health Industry, University of Chinese Academy of Sciences, 315010 Ningbo, Zhejiang, China
4 Department of Radiation Oncology, Affiliated Hospital of Guilin Medical University, 541001 Guilin, Guangxi, China
5 Tianjin Cerebral Vascular and Neural Degenerative Disease Key Laboratory, Tianjin Neurosurgery Institute, Tianjin Huanhu Hospital, 300060 Tianjin, China
6 Department of Child Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Soochow University, 215123 Suzhou, Jiangsu, China
*Correspondence: hpsun@suda.edu.cn (Hong-peng Sun); 20184247027@stu.suda.edu.cn (Gui-zhen Cao)
These authors contributed equally.
Academic Editor: Jerome L. Fleg
Rev. Cardiovasc. Med. 2022, 23(11), 385; https://doi.org/10.31083/j.rcm2311385
Submitted: 4 July 2022 | Revised: 19 September 2022 | Accepted: 20 September 2022 | Published: 22 November 2022
Copyright: © 2022 The Author(s). Published by IMR Press.
This is an open access article under the CC BY 4.0 license.
Abstract

Purpose: We aimed to characterize physical activity (PA) trajectories across adulthood and to estimate their association with incident hypertension risk. Methods: Data were obtained from the China Health and Nutrition Survey (CHNS) conducted during 2004–2011. Group-based trajectory modeling (GBTM) was used to identify distinct groups of PA trajectories. The Cox proportional hazards model was used to investigate the association. Results: A total of 11,162 participants whose PA was repeatedly estimated by self-report from questionnaires two to four times in the CHNS were included in our study. During the 5.4 years of follow-up, 3824 incident hypertension cases were identified. Five distinct PA trajectories were identified in men: light and slight decline, light and gradual decline then sharp rise, light to medium-heavy then decline, medium-heavy and gradual decline, and heavy and sharp decline. Two distinct PA trajectories were identified in women: light and stable, and medium and gradual decline. The PA trajectory of medium-heavy and gradual decline was significantly associated with decreased risk of hypertension in men, with the hazard ratios and 95% confidence intervals (CI) being 0.80 (0.63, 0.99), 0.74 (0.59, 0.93), 0.76 (0.60, 0.96), and 0.70 (0.55, 0.88) in models 1–4, respectively. Conclusions: Our study identified five distinct long-term PA trajectories in men and two distinct trajectories in women. The PA trajectory of medium-heavy PA in early adulthood followed by gradual decline was found to be significantly associated with a decreased risk of hypertension in later life in men.

Keywords
adulthood
group-based trajectory modeling
hypertension
longitudinal cohort study
physical activity (PA)
Funding
81402761/National Natural Science Foundation of China
BK20140361/Foundation Research Project of Jiangsu Province
SS201811/Suzhou science and technology development project
XJ201655/Suzhou Xiangcheng district people’s livelihood science and technology project
XJ201706/Suzhou Xiangcheng district people’s livelihood science and technology project
KJS1513/Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases
Figures
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