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Choi C, Kim DK, Lee I. Virtual Golf, "Exergaming", Using Virtual Reality for Healthcare in Older Adults: Focusing on Leisure Constraints, Participation Benefits, and Continuous Participation Intention. Healthcare (Basel) 2024; 12:962. [PMID: 38786374 PMCID: PMC11120669 DOI: 10.3390/healthcare12100962] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2024] [Revised: 05/02/2024] [Accepted: 05/06/2024] [Indexed: 05/25/2024] Open
Abstract
Exergaming, a new type of sport, combined with virtual reality, has provided new opportunities for the aging population. This study analyzed the differences in leisure constraints, participation benefits, and continuous participation intention in virtual golf (represented as an exergame) depending on the participants' ages. Data collection was conducted from August 2023 to November 2023. A quantitative research design and a convenience sampling method were employed, targeting 310 regular virtual golf participants aged 20 years or older in the Republic of Korea. For comparative analysis, the survey participants were segmented into three groups: Group 1, young adults (18-35 years); Group 2, middle-aged adults (36-55 years); and Group 3, older adults (56-69 years). To compare and analyze participation behaviors in virtual golf, the dependent variables were identified: (a) leisure constraints (four factors) to limit formation and participation in leisure; (b) participation benefits (four factors) to encourage participation in leisure; and (c) continuous participation intention (single factor) to show likelihood to participate in leisure in the future. The results revealed that the young adult group showed statistically high results for costs under leisure constraints (F = 14.949, p < 0.001, ηp2 = 0.089), and the older adult group reported statistically high results in physical (F = 9.346, p < 0.001, ηp2 = 0.057) and mental (F = 7.249, p < 0.001, ηp2 = 0.045) participation benefits and continuous participation intention (F = 6.486, p < 0.01, ηp2 = 0.041). This study confirmed that virtual golf using advanced technology brings physical and mental benefits to older people based on reasonable cost and enables continuous participation in physical activity.
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Affiliation(s)
- Chulhwan Choi
- Department of Physical Education, Gachon University, 1342, Seongnam-daero, Sujeong-gu, Seongnam-si 13120, Republic of Korea;
| | - Dong-Kyu Kim
- Department of Sport, Leisure & Recreation, College of Nature Science, Soon Chun Hyang University, Ansan-si 31538, Republic of Korea
| | - Inyup Lee
- Department of Sport Science, Jeju National University, 102, Jejudaehak-ro, Jeju-si 63243, Republic of Korea
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He Y, Niu Y, Li Z, Zhang R, Chen Y, Dong Z, Zheng Y, Wang Q, Wang Y, Zhao D, Sun X, Cai G, Feng Z, Zhang W, Chen X. Arterial stiffness is associated with handgrip strength in relatively healthy Chinese older adults. Front Nutr 2024; 11:1342411. [PMID: 38406190 PMCID: PMC10893589 DOI: 10.3389/fnut.2024.1342411] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Accepted: 01/24/2024] [Indexed: 02/27/2024] Open
Abstract
Background Increased arterial stiffness and low handgrip strength (HGS) are associated with poor health outcomes and are a severe health risk for older adults. However, there is limited evidence and mixed results on whether there is an association between them. Therefore, this study focused on the association between arterial stiffness and HGS in relatively healthy older adults in Beijing, China. Methods In 2016, 2,217 adult volunteers were recruited in Beijing. Brachial-ankle pulse wave velocity (baPWV) and the ankle-brachial index were measured using an automatic vascular profiling system. Carotid artery intima-media thickness and common carotid artery-internal diameter (CCAID) were evaluated using Doppler ultrasound, and HGS was measured with a dynamometer. Low HGS was determined using the Asian Sarcopenia Working Group 2019 criteria. Multivariate linear and logistic regressions evaluated the relationship between arterial stiffness and HGS. Results Ultimately, 776 relatively healthy older adults (mean age 69.05 ± 6.46 years) were included. Based on the AWGS2019 criteria, 137 participants were defined as having low HGS. Compared to the normal HGS group, the low HGS group was older and had higher baPWV (p < 0.001) but lower CCAID, body mass index (BMI) and hemoglobin (Hb) (p < 0.05). The multiple linear regression analysis revealed that baPWV was negatively correlated with HGS (β = -0.173, t = -2.587, p = 0.01). Multivariate logistic regression analysis showed that baPWV and CCAID were associated with an increased risk of low HGS (odds ratio (OR) per SD increase: 1.318, p = 0.007; OR per SD increase: 0.541, p < 0.001). Conclusion Arterial stiffness and HGS were significantly negatively correlated in relatively healthy Chinese older adults. Low HGS is associated with increased arterial stiffness. Encouraging exercise training to improve HGS, thereby reducing arterial stiffness and the risk of cardiovascular events, may be a simple and effective intervention.
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Affiliation(s)
- Yan He
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
- Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Yue Niu
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
| | - Zhe Li
- The First Affiliated Hospital and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China
| | - Ruimin Zhang
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
- Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Yizhi Chen
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
- Department of Nephrology, Hainan Hospital of Chinese PLA General Hospital, Hainan Province Academician Team Innovation Center, Sanya, China
| | - Zheyi Dong
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
| | - Ying Zheng
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
| | - Qian Wang
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
| | - Yong Wang
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
| | - Delong Zhao
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
| | - Xuefeng Sun
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
| | - Guangyan Cai
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
| | - Zhe Feng
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
| | - Weiguang Zhang
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
| | - Xiangmei Chen
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
- Chengdu University of Traditional Chinese Medicine, Chengdu, China
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