Emilia Pietiläinen, Heikki Kyröläinen, Kai Parkkola, Tiina Luukkaala, Tommi Vasankari
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Measurements were taken at the baseline, 6-mo and 12-mo after the intervention. They included two-week RM 42-accelerometer measurements of PA, cardiometabolic biomarkers, body composition, physical fitness tests, and a questionnaire about stress and work ability for the intervention group at every point and for the control group at baseline and 12-mo. At the 6-mo, only PA was measured in the control group. Primary outcomes were changes in PA from baseline to 6-mo and 12-mo as well as changes in maximal oxygen uptake and fitness index from baseline to 12-mo. Secondary outcomes were changes in other parameters from baseline to 12-mo. The effect of the intervention on primary and secondary outcomes was analyzed using unadjusted generalised linear mixed model, accounting for a group-by-time interaction effect in all models.</p><p><strong>Results: </strong>There was no statistically significant group-by-time interaction regarding the measured parameters. However, amount the intervention group daily standing time (mean increase 18 min/day, 95% confidence interval [CI] 6-29 min/day) and maximal oxygen uptake (mean increase 2.15 ml/kg/min 95% CI 0.56-3.74 ml/kg/min) tended to increase during twelve months.</p><p><strong>Discussion: </strong>The intervention did not effectively change the primary outcomes, but showed encouraging trends and revealed the potential and challenges of the intervention developed to increase PA in a military workplace.</p>","PeriodicalId":12716,"journal":{"name":"Frontiers in Sports and Active Living","volume":"7 ","pages":"1549980"},"PeriodicalIF":2.6000,"publicationDate":"2025-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12411429/pdf/","citationCount":"0","resultStr":"{\"title\":\"A randomized controlled trial utilizing an interactive accelerometer linked to a smartphone application for enhancing physical activity and health among military employees.\",\"authors\":\"Emilia Pietiläinen, Heikki Kyröläinen, Kai Parkkola, Tiina Luukkaala, Tommi Vasankari\",\"doi\":\"10.3389/fspor.2025.1549980\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>The primary objectives of the present individualized randomized controlled trial were to increase physical activity (PA) and improve physical fitness.</p><p><strong>Materials and methods: </strong>260 military employees around Finland participated. 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引用次数: 0
摘要
本个体化随机对照试验的主要目的是增加身体活动(PA)和改善身体健康。材料与方法:芬兰各地260名军人参与。三分之二(158人)被随机分为干预组,三分之一(101人)被随机分为对照组。干预组使用与智能手机相连的Exsed Movesense加速计测量PA和睡眠六个月。他们通过智能手机应用程序收到反馈,被鼓励在工作时间每周锻炼2小时,并参加电话咨询。对照组在没有加速度计或反馈的情况下继续PA程序。在基线、干预后6个月和12个月进行测量。他们包括为期两周的RM 42加速计测量PA,心脏代谢生物标志物,身体成分,体能测试,以及干预组在每个点以及对照组在基线和12个月时的压力和工作能力问卷。6个月时,对照组仅测量PA。主要结果是PA从基线到6个月和12个月的变化,以及最大摄氧量和健康指数从基线到12个月的变化。次要结局是其他参数从基线到12个月的变化。使用未调整的广义线性混合模型分析干预对主要和次要结局的影响,考虑所有模型中按时间分组的相互作用效应。结果:测量参数组间无统计学意义的交互作用。然而,干预组每日站立时间(平均增加18分钟/天,95%可信区间[CI] 6-29分钟/天)和最大摄氧量(平均增加2.15 ml/kg/min, 95% CI 0.56-3.74 ml/kg/min)在12个月内呈增加趋势。讨论:干预措施并没有有效地改变主要结果,但显示出令人鼓舞的趋势,并揭示了干预措施的潜力和挑战,以增加军事工作场所的PA。
A randomized controlled trial utilizing an interactive accelerometer linked to a smartphone application for enhancing physical activity and health among military employees.
Introduction: The primary objectives of the present individualized randomized controlled trial were to increase physical activity (PA) and improve physical fitness.
Materials and methods: 260 military employees around Finland participated. Two-thirds, (158), were randomized in the intervention and one-third, (101), in the control group. The intervention group used Exsed Movesense accelerometers linked to smartphones measuring PA and sleep for six months. They received feedback via a smartphone application, were encouraged to exercise during worktime for 2 hours/week, and participated in telephone counseling. The control group continued PA routines without the accelerometer or feedback. Measurements were taken at the baseline, 6-mo and 12-mo after the intervention. They included two-week RM 42-accelerometer measurements of PA, cardiometabolic biomarkers, body composition, physical fitness tests, and a questionnaire about stress and work ability for the intervention group at every point and for the control group at baseline and 12-mo. At the 6-mo, only PA was measured in the control group. Primary outcomes were changes in PA from baseline to 6-mo and 12-mo as well as changes in maximal oxygen uptake and fitness index from baseline to 12-mo. Secondary outcomes were changes in other parameters from baseline to 12-mo. The effect of the intervention on primary and secondary outcomes was analyzed using unadjusted generalised linear mixed model, accounting for a group-by-time interaction effect in all models.
Results: There was no statistically significant group-by-time interaction regarding the measured parameters. However, amount the intervention group daily standing time (mean increase 18 min/day, 95% confidence interval [CI] 6-29 min/day) and maximal oxygen uptake (mean increase 2.15 ml/kg/min 95% CI 0.56-3.74 ml/kg/min) tended to increase during twelve months.
Discussion: The intervention did not effectively change the primary outcomes, but showed encouraging trends and revealed the potential and challenges of the intervention developed to increase PA in a military workplace.