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Han J, Ju YJ, Lee SY. Physical activity, sedentary behavior, and cardiovascular disease risk in Korea: a trajectory analysis. Epidemiol Health 2023; 45:e2023028. [PMID: 36915274 PMCID: PMC10266925 DOI: 10.4178/epih.e2023028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 02/08/2023] [Indexed: 03/16/2023] Open
Abstract
OBJECTIVES To identify the distinct trajectories of sedentary behavior (SB) and explore whether reduced cardiovascular disease (CVD) risk was associated with a distinct trajectory of physical activity (PA). METHODS We analyzed data from 6,425 people who participated in the Korean Health Panel Survey over a period of 10 years. The participants' self-reported SB and PA were assessed annually, and trajectory groups were identified using a group-based trajectory model for longitudinal data analysis. Logistic regression analysis was performed to assess the association between CVD risk (10-year cumulative incidence) and the trajectories of SB and PA. The adjusted variables included socio-demographic factors, the predisposing diseases of CVD, and baseline health behaviors. RESULTS Trajectory analysis identified 4 SB trajectory groups: SB group 1 (low and slightly increasing trend, 53.1%), SB group 2 (high and rapidly decreasing trend, 14.7%), SB group 3 (high and slightly decreasing trend, 9.9%), and SB group 4 (low and rapidly increasing trend, 22.2%). The 3 PA trajectory groups were PA group 1 (moderate and slightly decreasing trend, 32.1%), PA group 2 (low and slightly decreasing trend, 57.3%), and PA group 3 (maintained inactivity, 10.7%). By the 10-year follow-up, 577 cases of incident CVD had occurred. We also noted a 50% reduction in the risk of CVD when SB group 4 was accompanied by PA group 1 (odds ratio, 0.50; 95% confidence interval, 0.28 to 0.90). CONCLUSIONS Despite increased time spent in SB, maintaining PA about 2 days to 3 days per week reduced the occurrence of CVD.
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Affiliation(s)
- Jina Han
- Department of Preventive Medicine and Public Health, Ajou University School of Medicine, Suwon, Korea
| | - Yeong Jun Ju
- Department of Preventive Medicine and Public Health, Ajou University School of Medicine, Suwon, Korea
| | - Soon Young Lee
- Department of Preventive Medicine and Public Health, Ajou University School of Medicine, Suwon, Korea
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Luu MN, Han M, Bui TT, Tran PTT, Lim MK, Oh JK. Smoking trajectory and cancer risk: A population-based
cohort study. Tob Induc Dis 2022; 20:71. [PMID: 36118557 PMCID: PMC9413414 DOI: 10.18332/tid/152137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 05/30/2022] [Accepted: 07/15/2022] [Indexed: 12/04/2022] Open
Abstract
INTRODUCTION Smoking behavior can change with time and lead to different health outcomes. This study explored the trajectory of smoking and its relationship with cancer incidence and mortality among Korean male adults. METHODS We used 2002–2018 data from the National Health Insurance Service (NHIS). Smoking status was repeatedly measured in four waves of general health examinations provided by the NHIS between 2002 and 2009. Cancer incidence and mortality were tracked from 2010 to 2018. Trajectory analysis was used to identify the patterns of smoking. The hazard ratio was calculated using Cox proportional regression models. RESULTS For the 2448548 men (≥20 years), 137788 cases of cancers and 41146 cancer deaths were found. We identified six trajectory groups: never smokers, former smokers, new current smokers, decreasing light smokers, steady moderate smokers, and steady heavy smokers. All smoking groups had an increased risk of cancer. The steady heavy smokers showed higher cancer incidence and mortality rate than the steady non-smokers (hazard ratio, HR=1.53; 95% CI: 1.49–1.58 and HR=2.64; 95% CI: 2.50–2.79, respectively). The cancer-specific analysis showed that the larynx and lung cancer incidence and mortality rate of the smoking group were higher than in never smokers. CONCLUSIONS Smoking, even at low doses, increases the risk of most cancers in men. Quitting or reducing smoking, especially at a young age, can lower cancer incidence and mortality. This study may provide more objective results on the relationship between smoking and cancer, because smoking behavior was examined at multiple time points.
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Affiliation(s)
- Minh N. Luu
- Department of Cancer Control and Population Health, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang-si, Republic of Korea
- Department of Research Methodology and Biostatistics, School of Preventive Medicine and Public Health, Hanoi Medical University, Hanoi, Vietnam
| | - Minji Han
- Department of Cancer Control and Population Health, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang-si, Republic of Korea
- Division of Cancer Prevention, National Cancer Control Institute, National Cancer Center, Goyang-si, Republic of Korea
| | - Tra T. Bui
- Department of Cancer Control and Population Health, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang-si, Republic of Korea
| | - Phuong Thao T. Tran
- Department of Cancer Control and Population Health, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang-si, Republic of Korea
| | - Min-Kyung Lim
- Department of Social and Preventive Medicine, College of Medicine, Inha University, Incheon, Republic of Korea
| | - Jin K. Oh
- Department of Cancer Control and Population Health, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang-si, Republic of Korea
- Division of Cancer Prevention, National Cancer Control Institute, National Cancer Center, Goyang-si, Republic of Korea
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Feng X, Qiu W, Cheng M, Liang R, Xu T, Zhou M, He M, Zhang X, Yuan J, Wang D, Chen W. Association of shift work with cardiovascular disease risk among Chinese workers. Chronobiol Int 2021; 38:1186-1194. [PMID: 33910438 DOI: 10.1080/07420528.2021.1917593] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
To evaluate the association of shift work with 10-year cardiovascular disease (CVD) risk among Chinese workers. We included 23,064 workers in the first follow-up of the Dongfeng-Tongji cohort study. Questionnaires and physical examinations were conducted to collect data for all participants. Framingham Risk Score was calculated according to the multivariable risk algorithms, and used to evaluate 10-year CVD risk. Logistic regression models were used to assess the relationship between shift work and 10-year CVD risk. Among 23,064 individuals, 51.92% of workers suffered shift work, and the proportions of shift work duration of 1-<10, 10-<20, and ≥20 years were 17.29%, 17.35% and 17.30%, respectively. Compared with individuals without a shift work history, the odds ratios (ORs) and 95% confidence intervals (CIs) of 10-year CVD were 1.027 (0.900-1.173), 1.058 (0.927-1.206) and 1.191 (1.036-1.368) for individuals with shift work duration of 1-<10 years, 10-<20 years, and ≥20 years, respectively, after adjusting for potential confounders. And the association was more obvious in males. When shift work and obesity were combined, the OR (95%CI) of high 10-year CVD risk (3.373, 2.390-4.761) was significantly increased for obese individuals with shift work of ≥20 years. Besides, the OR (95%CI) for higher 10-year CVD risk associated with shift work decreased as the leaving shift work duration prolonged. Shift work is associated with a higher 10-year CVD risk, especially among males. Obesity has a synergistic effect on such association while leaving shift work reduces such association.
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Affiliation(s)
- Xiaobing Feng
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.,Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Weihong Qiu
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.,Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Man Cheng
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.,Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Ruyi Liang
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.,Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Tao Xu
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.,Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Min Zhou
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.,Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Meian He
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.,Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xiaomin Zhang
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.,Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Jing Yuan
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.,Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Dongming Wang
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.,Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Weihong Chen
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.,Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
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