Institute for Health & Aging/Department of Physiological Nursing, School of Nursing, University of California, San Francisco, San Francisco, CA, USA.
Department of Epidemiology & Biostatistics, University of California, San Francisco, San Francisco, CA, USA.
Transl Behav Med. 2018 Sep 8;8(5):714-723. doi: 10.1093/tbm/ibx039.
More than half of Latino adults living in the USA are expected to develop type 2 diabetes in their lifetime. Despite the growing interest in smartphone use for weight loss and diabetes prevention, relatively few clinical trials have evaluated the efficacy of mobile app-based interventions in Latino populations. The aim of this study was to evaluate the potential efficacy of an in-person weight loss intervention in conjunction with a commercially available Fitbit app in a Latino sample at risk for type 2 diabetes and explore significant predictors associated with weight loss. After the run-in period, 54 self-identified Latinos with body mass index (BMI) > 24.9 kg/m2 were enrolled in an 8-week uncontrolled pilot study, and received a Fitbit Zip, its app, and two in-person weight loss sessions adapted from the Diabetes Prevention Program. Mean age was 45.3 (SD ± 10.8) years, 61.1% were born in the USA, and mean BMI was 31.4 (SD ± 4.1) kg/m2. Participants lost an average of 3.3 (SD ± 3.4) % of their body weight (p < .0005). We also observed statistically significant reductions in hip and waist circumferences, and systolic and diastolic blood pressure (p < .001). After controlling for demographic factors, use of the mobile app weight diary at least twice a week (p = .01) and change in the International Physical Activity Questionnaire score (p = .03) were associated with change in percent body weight. The intervention showed the potential efficacy of this intervention, which should be formally evaluated in a randomized controlled trial.
超过一半居住在美国的拉丁裔成年人预计在其一生中会发展为 2 型糖尿病。尽管人们对智能手机在减肥和预防糖尿病方面的应用越来越感兴趣,但相对较少的临床试验评估了基于移动应用程序的干预措施在拉丁裔人群中的疗效。本研究旨在评估在有 2 型糖尿病风险的拉丁裔人群中,结合商业上可用的 Fitbit 应用程序进行面对面减肥干预的潜在疗效,并探索与体重减轻相关的显著预测因素。在导入期后,54 名自我认定的 BMI(体重指数)>24.9kg/m2 的拉丁裔个体参加了一项为期 8 周的非对照性试点研究,并获得了 Fitbit Zip、其应用程序以及两项改编自糖尿病预防计划的面对面减肥课程。参与者的平均年龄为 45.3(SD ± 10.8)岁,61.1%出生于美国,平均 BMI 为 31.4(SD ± 4.1)kg/m2。参与者平均减轻了 3.3(SD ± 3.4)%的体重(p <.0005)。我们还观察到髋部和腰围、收缩压和舒张压有统计学显著降低(p <.001)。在控制了人口统计学因素后,每周至少使用移动应用程序体重日记两次(p =.01)和国际体力活动问卷得分的变化(p =.03)与体重百分比的变化相关。该干预措施显示了这种干预的潜在疗效,应在随机对照试验中进行正式评估。
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