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首页> 外文期刊>JMIR mHealth and uHealth >A Pedometer-Guided Physical Activity Intervention for Obese Pregnant Women (the Fit MUM Study): Randomized Feasibility Study
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A Pedometer-Guided Physical Activity Intervention for Obese Pregnant Women (the Fit MUM Study): Randomized Feasibility Study

机译:对肥胖孕妇的计步器引导的身体活动干预措施(适合妈妈研究):随机可行性研究

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Background Obesity in pregnancy is a growing problem worldwide, with excessive gestational weight gain (GWG) occurring in the majority of pregnancies. This significantly increases risks to both mother and child. A major contributor to both prepregnancy obesity and excessive GWG is physical inactivity; however, past interventions targeting maternal weight gain and activity levels during the antenatal period have been ineffective in women who are already overweight. Pedometer-guided activity may offer a novel solution for increasing activity levels in this population. Objective This initial feasibility randomized controlled trial aimed to test a pedometer-based intervention to increase activity and reduce excessive GWG in pregnant women. Methods We supplied 30 pregnant women with obesity a Fitbit Zip pedometer and randomized them into 1 of 3 groups: control (pedometer only), app (pedometer synced to patients’ personal smartphone, with self-monitoring of activity), or app-coach (addition of a health coach–delivered behavioral change program). Feasibility outcomes included participant compliance with wearing pedometers (days with missing pedometer data), data syncing, and data integrity. Activity outcomes (step counts and active minutes) were analyzed using linear mixed models and generalized estimating equations. Results A total of 30 participants were recruited within a 10-week period, with a dropout rate of 10% (3/30; 2 withdrawals and 1 stillbirth); 27 participants thus completed the study. Mean BMI in all groups was ≥35 kg/msup2/sup. Mean (SD) percentage of missing data days were 23.4% (20.6%), 39.5% (32.4%), and 21.1% (16.0%) in control, app group, and app-coach group patients, respectively. Estimated mean baseline activity levels were 14.5 active min/day and 5455 steps/day, with no significant differences found in activity levels between groups, with mean daily step counts in all groups remaining in the sedentary (5000 steps/day) or low activity (5000-7499 steps/day) categories for the entire study duration. There was a mean decrease of 7.8 steps/day for each increase in gestation day over the study period (95% CI 2.91 to 12.69, P =.002). Conclusions Activity data syncing with a personal smartphone is feasible in a cohort of pregnant women with obesity. However, our results do not support a future definitive study in its present form. Recruitment and retention rates were adequate, as was activity data syncing to participants’ smartphones. A follow-up interventional trial seeking to reduce GWG and improve activity in this population must focus on improving compliance with activity data recording and behavioral interventions delivered.
机译:怀孕的背景肥胖是全世界越来越多的问题,在大多数怀孕中发生了过度的妊娠期增长(GWG)。这显着增加了母亲和孩子的风险。既有预孕肥胖症和过量的GWG的主要因素是物理不活动;然而,过去的过去的干预措施在产前期间的产妇体重增加和活性水平对已经超重的女性无效。计步器引导的活动可以提供新的解决方案,用于增加这群人群的活性水平。目的这一初步可行性随机控制试验旨在测试基于计步器的干预,以增加活性,减少孕妇的过度GWG。方法采用肥胖的30个孕妇配备Fitbit Zip计步器,将它们随机分为3组:控制(仅限计步器),APP(计步器与患者个人智能手机同步,具有自我监控活动),或应用程序 - 教练(添加健康教练交付的行为变更计划)。可行性结果包括参与者遵守佩戴计步器(有计数计数据的天数),数据同步和数据完整性。使用线性混合模型和广义估计方程分析活动结果(步骤计数和有效分钟)。结果共有30名参与者在10周内招募了30%,辍学率为10%(3/30; 2次取款和1个死产); 27名参与者完成了这项研究。所有组中的平均BMI≥35kg/ m 2 。缺失数据天的平均值(SD)百分比分别为23.4%(20.6%),39.5%(32.4%),对照,APP组和App-Coach组患者分别为21.1%(16.0%)。估计的平均基线活性水平为14.5活性最小/天,5455步,群体之间的活性水平没有显着差异,在久坐不动(5000步/天)或低活动中剩余的所有群体中的平均日常步骤计数( 5000-7499步骤/日)类别为整个研究持续时间。在研究期间每次妊娠日的每次增加(95%CI 2.91至12.69,p = .002),每次妊娠日的增加的平均减少7.8步骤/日。结论活动数据与个人智能手机同步在患有肥胖的孕妇队列中可行。但是,我们的结果并不支持未来的最终研究。招聘和保留率足够,与参与者的智能手机相结合的活动数​​据也是如此。寻求减少GWG的后续介入试验,并改善本人的活动必须重点关注改善遵守活动数据记录和行为干预的遵守情况。

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