{"title":"可穿戴设备对糖尿病患者体育锻炼水平的影响:2017 BRFSS。","authors":"","doi":"10.1016/j.pcd.2024.05.004","DOIUrl":null,"url":null,"abstract":"<div><h3>Aim</h3><p>This study aims to examine the association between wearing wearable devices and physical activity levels among people living with diabetes.</p></div><div><h3>Methods</h3><p>1298 wearable device users and nonusers living with diabetes from eight states of the 2017 Behavioral Risk Factors Surveillance System were included in the analysis. Unadjusted and adjusted linear regression was performed to determine the association between self-reported physical activity per week (min) and wearable device usage (users and nonusers) among people living with diabetes using survey analysis.</p></div><div><h3>Results</h3><p>84.97 % (95 % CI [80.39, 88.89]) of participants were nonusers of wearable devices, while 15.03 % (95 % CI [11.11, 19.61]) were users. Across the sample, the average weekly physical activity was 427.39 mins (95 % Cl [356.43, 498.35]). Nonusers had a higher physical activity per week with 433.83 mins (95 % CI [353.59, 514.07]), while users only had 392.59 mins (95 % CI [253.48, 531.69]) of physical activity per week. However, the differences between the two groups were non-statistically significant <em>(p=.</em>61). In both adjusted and unadjusted linear regressions between physical activity per week and wearable device usage, statistically significant associations were not found (unadjusted: β=-41.24, <em>p=</em>.62; adjusted: β=-56.41, <em>p</em>=.59).</p></div><div><h3>Conclusion</h3><p>Further research is needed to determine the effectiveness of wearable devices in promoting physical activity among people with diabetes. Additionally, there is a need to determine how people with diabetes use wearable devices that could promote physical activity levels.</p></div>","PeriodicalId":48997,"journal":{"name":"Primary Care Diabetes","volume":null,"pages":null},"PeriodicalIF":2.6000,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The use of wearable devices on physical activity levels among individuals living with diabetes: 2017 BRFSS\",\"authors\":\"\",\"doi\":\"10.1016/j.pcd.2024.05.004\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Aim</h3><p>This study aims to examine the association between wearing wearable devices and physical activity levels among people living with diabetes.</p></div><div><h3>Methods</h3><p>1298 wearable device users and nonusers living with diabetes from eight states of the 2017 Behavioral Risk Factors Surveillance System were included in the analysis. Unadjusted and adjusted linear regression was performed to determine the association between self-reported physical activity per week (min) and wearable device usage (users and nonusers) among people living with diabetes using survey analysis.</p></div><div><h3>Results</h3><p>84.97 % (95 % CI [80.39, 88.89]) of participants were nonusers of wearable devices, while 15.03 % (95 % CI [11.11, 19.61]) were users. Across the sample, the average weekly physical activity was 427.39 mins (95 % Cl [356.43, 498.35]). Nonusers had a higher physical activity per week with 433.83 mins (95 % CI [353.59, 514.07]), while users only had 392.59 mins (95 % CI [253.48, 531.69]) of physical activity per week. However, the differences between the two groups were non-statistically significant <em>(p=.</em>61). In both adjusted and unadjusted linear regressions between physical activity per week and wearable device usage, statistically significant associations were not found (unadjusted: β=-41.24, <em>p=</em>.62; adjusted: β=-56.41, <em>p</em>=.59).</p></div><div><h3>Conclusion</h3><p>Further research is needed to determine the effectiveness of wearable devices in promoting physical activity among people with diabetes. Additionally, there is a need to determine how people with diabetes use wearable devices that could promote physical activity levels.</p></div>\",\"PeriodicalId\":48997,\"journal\":{\"name\":\"Primary Care Diabetes\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2024-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Primary Care Diabetes\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1751991824001128\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENDOCRINOLOGY & METABOLISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Primary Care Diabetes","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1751991824001128","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
引用次数: 0
摘要
目的:本研究旨在探讨糖尿病患者佩戴可穿戴设备与体力活动水平之间的关联。方法:分析对象包括来自 2017 年行为风险因素监测系统 8 个州的 1298 名糖尿病患者中的可穿戴设备使用者和非使用者。通过调查分析,对糖尿病患者每周自我报告的体力活动(分钟)与可穿戴设备使用情况(用户和非用户)之间的关联进行了未调整和调整后的线性回归:84.97% (95 % CI [80.39, 88.89])的参与者不使用可穿戴设备,15.03% (95 % CI [11.11, 19.61])的参与者使用可穿戴设备。在所有样本中,平均每周运动时间为 427.39 分钟(95 % Cl [356.43, 498.35])。非使用者的每周体力活动量更大,为 433.83 分钟(95 % CI [353.59, 514.07]),而使用者的每周体力活动量仅为 392.59 分钟(95 % CI [253.48, 531.69])。不过,两组之间的差异无统计学意义(P=0.61)。在每周体力活动量与可穿戴设备使用量之间的调整和未调整线性回归中,均未发现有统计学意义的关联(未调整:β=-41.24,p=.62;调整:β=-56.41,p=.59):需要进一步研究确定可穿戴设备在促进糖尿病患者体育锻炼方面的有效性。此外,还需要确定糖尿病患者如何使用可促进体育锻炼水平的可穿戴设备。
The use of wearable devices on physical activity levels among individuals living with diabetes: 2017 BRFSS
Aim
This study aims to examine the association between wearing wearable devices and physical activity levels among people living with diabetes.
Methods
1298 wearable device users and nonusers living with diabetes from eight states of the 2017 Behavioral Risk Factors Surveillance System were included in the analysis. Unadjusted and adjusted linear regression was performed to determine the association between self-reported physical activity per week (min) and wearable device usage (users and nonusers) among people living with diabetes using survey analysis.
Results
84.97 % (95 % CI [80.39, 88.89]) of participants were nonusers of wearable devices, while 15.03 % (95 % CI [11.11, 19.61]) were users. Across the sample, the average weekly physical activity was 427.39 mins (95 % Cl [356.43, 498.35]). Nonusers had a higher physical activity per week with 433.83 mins (95 % CI [353.59, 514.07]), while users only had 392.59 mins (95 % CI [253.48, 531.69]) of physical activity per week. However, the differences between the two groups were non-statistically significant (p=.61). In both adjusted and unadjusted linear regressions between physical activity per week and wearable device usage, statistically significant associations were not found (unadjusted: β=-41.24, p=.62; adjusted: β=-56.41, p=.59).
Conclusion
Further research is needed to determine the effectiveness of wearable devices in promoting physical activity among people with diabetes. Additionally, there is a need to determine how people with diabetes use wearable devices that could promote physical activity levels.
期刊介绍:
The journal publishes original research articles and high quality reviews in the fields of clinical care, diabetes education, nutrition, health services, psychosocial research and epidemiology and other areas as far as is relevant for diabetology in a primary-care setting. The purpose of the journal is to encourage interdisciplinary research and discussion between all those who are involved in primary diabetes care on an international level. The Journal also publishes news and articles concerning the policies and activities of Primary Care Diabetes Europe and reflects the society''s aim of improving the care for people with diabetes mellitus within the primary-care setting.