The Combined Effects of Sports Smart Bracelet and Multi-Component Exercise Program on Exercise Motivation among the Elderly in Macau

Lao, Cheuk Kei; Wang, Bing Long; Wang, Richard S.; Chang, H.

doi:10.3390/medicina57010034

Cited by 13 publications

(16 citation statements)

References 17 publications

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“…Our study shows that high PA levels can effectively reduce the risk of subsequent cognitive decline. This finding is consistent with that of many previous studies 58 , 59 . Daily PA has been found to prevent cognitive decline in older adults and help delay their already present cognitive decline.…”

Section: Discussionsupporting

confidence: 94%

The combined effect of physical activity and fruit and vegetable intake on decreasing cognitive decline in older Taiwanese adults

Wang

Huang

et al. 2022

Sci Rep

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The factors associated with cognitive decline among older adults include physical activity and fruit and vegetable intake. However, the long-term effects of concomitant physical activity and fruit and vegetable intake are unknown. This 16-year longitudinal study explored the joint effect of mitigating cognitive decline in a cohort of older Taiwanese individuals. Five population-based surveys (Taiwan Longitudinal Survey on Aging [1999–2015]) involving 4440 respondents over 53 years old in 1999 were conducted. Cognitive function was assessed using the Short Portable Mental Status Questionnaire (SPMSQ). The demographic, socioeconomic, health-related, behavioral, and disease status covariates were adjusted in the regression analysis. Trends in cognitive decline were observed over 16 years. The risk of cognitive decline decreased by 63% when high physical activity and high fruit and vegetable intake were combined (odds ratio 0.37; 95% confidence interval 0.23–0.59), indicating a potential combined effect of physical activity and fruit and vegetable intake on mitigating cognitive decline. These personal actions are safe, effective, and economical approaches to health promotion and disease prevention.

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Section: Discussionsupporting

confidence: 94%

The combined effect of physical activity and fruit and vegetable intake on decreasing cognitive decline in older Taiwanese adults

Wang

Huang

et al. 2022

Sci Rep

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“…The intensity of walking activities can be expressed by heart rate [ 28 ], and it was recommended that older adults achieve at least a moderate-intensity walking pace for 150 min [ 27 , 29 ]. There are more and more studies on artificial intelligence (AI) technology products, using smart bracelets for health and health care applications, monitoring body temperature, and in adult sports [ 30 , 31 , 32 , 33 ]. Lao et al confirmed that wearing a sports bracelet can improve the motivation of physical activity in older adults [ 31 ].…”

Section: Introductionmentioning

confidence: 99%

Promoting Healthy Behaviors in Older Adults to Optimize Health-Promoting Lifestyle: An Intervention Study

Chia

Huang²,

Huang

et al. 2023

IJERPH

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Introduction: Exercise intervention is the easiest and most effective way to promote human health. This study combined technology and exercise to improve the health behavior of the older adults through a physical activity intervention and to enhance a health-promoting lifestyle. Materials and methods: A quasi-experimental research method was used to openly recruit 120 healthy male and female older adults over 65 years old (average age of males: 71.6 ± 1.25 years; average age of females: 72.3 ± 1.28 years), all of whom wore smart bracelets. The participants were monitored by special personnel during the same period of walking every Monday to Friday. All participants recorded their daily steps, distance walked, and calorie consumption data for a period of 8 weeks. Results: After 8 weeks of walking, all participants showed a positive medium–high correlation of various factors between healthy behaviors and the health-promoting lifestyle scales. In the post-tests of each factor of two scales, males had the highest correlation between regular physical activity and physical activity, and females had the highest correlation between regular physical activity and social support. The variabilities in the explanatory power of the health behaviors of males and females on the health-promoting lifestyle were R2 = 70.9% (p < 0.01) and R2 = 74.1% (p < 0.01), indicating that the variables of healthy behaviors have a positive effect on health-promoting lifestyles in male and female older adults. Conclusions: Walking interventions positively affect the health behaviors of older adults and encourage health-promoting lifestyles. The value of this study is in its contribution to health promotion and public health recommendations for older adults.

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“…Among them, smart sports bracelets are a commonly used intelligent wearable device in sports today [ 10 , 11 ]. By collecting data and browsing health records, sports smart bracelets can monitor physiological data during exercise [ 12 ].…”

Section: Introductionmentioning

confidence: 99%

Research on User Experience of Sports Smart Bracelet Based on Fuzzy Comprehensive Appraisal and SSA-BP Neural Network

Luo

Zhao

Chen

2022

Computational Intelligence and Neuroscience

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Due to the marked increase in the prevalence of overweight and obesity worldwide and an environment leading to a series of chronic diseases, physical exercise is an important way to prevent chronic diseases. Additionally, a good exercise smart bracelet can bring convenience to physical exercise. Quick and accurate evaluation of smart sports bracelets has become a hot topic and draws attention from both academic researchers and public society. In the literature, the analytic hierarchy process (AHP) and entropy weight method (EWM) were used to obtain the weights from both subjective and objective perspectives, which were integrated by the comprehensive weighting method, and furthermore the performance of sports smart bracelet was evaluated through fuzzy comprehensive evaluation. Also, to avoid complex weight calculations caused by the comprehensive weighting method, machine learning methods are used to model the structure and contribute to the comprehensive evaluation process. However, few studies have investigated all previous elements in the comprehensive evaluation process. In this study, we consider all previous parts when evaluating smart sports bracelets. In particular, we use the sparrow search algorithm (SSA) to optimize the backpropagation (BP) neural network for constructing the comprehensive score prediction model of the sports smart bracelet. Results show that the sparrow search algorithm-optimized backpropagation (SSA-BP) neural network model has good predictive ability and can quickly obtain evaluation results on the premise of effectively ensuring the accuracy of the evaluation results.

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The Combined Effects of Sports Smart Bracelet and Multi-Component Exercise Program on Exercise Motivation among the Elderly in Macau

Cited by 13 publications

References 17 publications

The combined effect of physical activity and fruit and vegetable intake on decreasing cognitive decline in older Taiwanese adults

The combined effect of physical activity and fruit and vegetable intake on decreasing cognitive decline in older Taiwanese adults

Promoting Healthy Behaviors in Older Adults to Optimize Health-Promoting Lifestyle: An Intervention Study

Research on User Experience of Sports Smart Bracelet Based on Fuzzy Comprehensive Appraisal and SSA-BP Neural Network

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