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Tsai KZ, Huang CM, Wang HS, Sui X, Lavie CJ, Lin GM. Does the guideline-based physical activity level for cardiovascular health also benefit periodontal health? J Dent Sci 2024; 19:46-50. [PMID: 38303861 PMCID: PMC10829664 DOI: 10.1016/j.jds.2023.05.036] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 05/31/2023] [Indexed: 02/03/2024] Open
Abstract
Abstract Background/purpose It is unclear about whether the guideline-based physical activity (PA) level for cardiovascular health also benefits periodontal health. Therefore, this study aimed to clarify the association between guideline-based PA levels and periodontitis in young adults. Materials and methods This was a cross-sectional study which included 334 military participants, aged 18-44 years in Taiwan. The PA level was assessed by total running time per week (wk) in the past 6 months from a self-reported questionnaire, and was classified as moderate intensity PA <150, 150-299, and ≥300 min/wk according to the American guideline for cardiovascular health. Periodontitis was defined based on the 2017 World Workshop. Multiple logistic regression analysis was used to determine the association with adjustment for age, sex, educational level, tobacco smoking, alcohol intake, body mass index, waist circumference, blood pressure and teeth brushing frequency. Results As compared to the PA: 150-299 min/wk, the PA <150 min/wk was associated with a greater possibility of periodontitis (odds ratio (OR): 2.45 (95% confidence interval (CI): 1.24-4.82), whereas the PA ≥300 min/wk was not associated with periodontitis (OR: 0.98 (95% CI: 0.13-1.09)) in young adults. Conclusion The guideline-based moderate intensity PA level ≥150 min/wk is found to have superior periodontal health in young adults. However, there is no additional benefit in more exercise time to obtain better periodontal health when the suggested PA level has been achieved.
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Affiliation(s)
- Kun-Zhe Tsai
- Department of Medicine, Hualien Armed Forces General Hospital, Hualien, Taiwan
- Department of Stomatology of Periodontology, Mackay Memorial Hospital, Taipei, Taiwan
- Department of Dentistry, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Chen-Ming Huang
- Department of Cardiovascular Surgery, Mennonite Christian Hospital, Hualien City, Taiwan
| | - Hui-Shang Wang
- Division of Cardiology, Department of Internal Medicine, Hualien Tzu Chi Hospital, Hualien City, Taiwan
| | - Xuemei Sui
- Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
| | - Carl J. Lavie
- John Ochsner Heart and Vascular Institute, Ochsner Clinical School, The University of Queensland School of Medicine, New Orleans, LA, USA
| | - Gen-Min Lin
- Department of Medicine, Hualien Armed Forces General Hospital, Hualien, Taiwan
- Department of Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
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Zhao X, Liu X, Wu X, Fu P, Zhang X, Zhou M, Hao Y, Xu B, Yan L, Xiao J, Li X, Lv L, Yang H, Liu Z, Yang C, Wang X, Liao J, Jiang X, Zhang B, Li J. Associations between changes of smartphone pedometer-assessed step counts and levels of obesity-related breast cancer biomarkers in non-cancer women: A population-based observational study. J Sports Sci 2023; 41:937-946. [PMID: 37598352 DOI: 10.1080/02640414.2023.2249754] [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: 10/16/2022] [Accepted: 08/11/2023] [Indexed: 08/22/2023]
Abstract
While a higher level of physical activity (PA) is inversely associated with a higher breast cancer (BC) risk, the health benefits of daily steps on obesity-related BC biomarkers remain unclear. We aimed to understand the associations of changes in step counts with levels of five obesity-related BC biomarkers during a two-year follow-up. In total, 144 non-cancer women (47.96 ± 5.72) were observed on both 2019 and 2021. A structured questionnaire, daily steps and fasting blood samples were collected before (t0, 2019) and after (t1, 2021). Levels of biomarkers (IGF-binding proteins 3, adiponectin, soluble leptin receptor, C-reactive protein, and resistin) were assayed by ELISA. Participants were divided into persistent low steps, decreasing steps, increasing steps, and persistent high steps. Associations of categories on proposed biomarkers were estimated using linear regression models, with persistent low steps as reference. Associations between time-varying step counts with biomarkers were quantified using mixed linear models. Compared with persistent low steps, increasing steps is associated with a reduction in C-reactive protein level (β=-0.74, 95%CI=-1.23--0.26, P-value = 2.98 × 10-3). An inverse association between time-varying step counts with C-reactive protein level was identified, consistent across different obesity types and baseline step level categories. No association with daily step counts was observed for other proteins.
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Affiliation(s)
- Xunying Zhao
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xiaohua Liu
- Department of Maternal and Child Health, Chengdu Shuangliu District Maternal and Child Health Care Hospital, Chengdu, Sichuan, China
| | - Xueyao Wu
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Ping Fu
- Department of Maternal and Child Health, Chengdu Shuangliu District Maternal and Child Health Care Hospital, Chengdu, Sichuan, China
| | - Xiaofan Zhang
- Department of Scientific Research & Management, The Second People's Hospital of Guiyang, Guiyang, China
| | - Min Zhou
- Department of Maternal and Child Health, Chengdu Shuangliu District Maternal and Child Health Care Hospital, Chengdu, Sichuan, China
| | - Yu Hao
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Bin Xu
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Lanping Yan
- Department of Maternal and Child Health, Chengdu Shuangliu District Maternal and Child Health Care Hospital, Chengdu, Sichuan, China
| | - Jinyu Xiao
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xingyue Li
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Liang Lv
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Huifang Yang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Zhenmi Liu
- Department of Maternal, Child and Adolescent Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Chunxia Yang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xin Wang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Jiaqiang Liao
- Department of Occupational and Environmental Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Xia Jiang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
- Department of Nutrition and Food Hygiene, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Ben Zhang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
- Department of Occupational and Environmental Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Jiayuan Li
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
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