Department of Nutrition, University of Nevada, Reno, Reno, Nevada.
Department of Population Health, Grossman School of Medicine, New York University, New York, New York.
J Ren Nutr. 2023 Jan;33(1):35-44. doi: 10.1053/j.jrn.2022.05.006. Epub 2022 Jun 22.
Although technology-supported interventions are effective for reducing chronic disease risk, little is known about the relative and combined efficacy of mobile health strategies aimed at multiple lifestyle factors. The purpose of this clinical trial is to evaluate the efficacy of technology-supported behavioral intervention strategies for managing multiple lifestyle-related health outcomes in overweight adults with type 2 diabetes (T2D) and chronic kidney disease (CKD).
Using a 2 × 2 factorial design, adults with excess body weight (body mass index ≥27 kg/m, age ≥40 years), T2D, and CKD stages 2-4 were randomized to an advice control group, or remotely delivered programs consisting of synchronous group-based education (all groups), plus (1) Social Cognitive Theory-based behavioral counseling and/or (2) mobile self-monitoring of diet and physical activity. All programs targeted weight loss, greater physical activity, and lower intakes of sodium and phosphorus-containing food additives.
Of 256 randomized participants, 186 (73%) completed 6-month assessments. Compared to the ADVICE group, mHealth interventions did not result in significant changes in weight loss, or urinary sodium and phosphorus excretion. In aggregate analyses, groups receiving mobile self-monitoring had greater weight loss at 3 months (P = .02), but between 3 and 6 months, weight losses plateaued, and by 6 months, the differences were no longer statistically significant.
When engaging patients with T2D and CKD in multiple behavior changes, self-monitoring diet and physical activity demonstrated significantly larger short-term weight losses. Theory-based behavioral counseling alone was no better than baseline advice and demonstrated no interaction effect with self-monitoring.
尽管技术支持的干预措施对于降低慢性病风险非常有效,但对于旨在针对多种生活方式因素的移动健康策略的相对和联合疗效知之甚少。本临床试验的目的是评估针对超重 2 型糖尿病(T2D)和慢性肾脏病(CKD)患者的多种生活方式相关健康结果的技术支持行为干预策略的疗效。
使用 2×2 析因设计,将超重(体重指数≥27kg/m,年龄≥40 岁)、T2D 和 CKD 2-4 期的成年人随机分配到建议对照组或远程提供的方案中,包括同步小组教育(所有组),加上(1)基于社会认知理论的行为咨询和/或(2)移动自我监测饮食和身体活动。所有方案都针对体重减轻、更多的身体活动以及减少钠和磷添加剂的摄入。
在 256 名随机参与者中,有 186 名(73%)完成了 6 个月的评估。与 ADVICE 组相比,移动健康干预并没有导致体重减轻或尿钠和磷排泄量的显著变化。在综合分析中,接受移动自我监测的组在 3 个月时体重减轻更大(P=0.02),但在 3 至 6 个月之间,体重减轻趋于平稳,到 6 个月时,差异不再具有统计学意义。
在让 T2D 和 CKD 患者参与多项行为改变时,饮食和身体活动的自我监测显示出明显更大的短期体重减轻。单独的基于理论的行为咨询并不比基线建议更好,并且与自我监测没有交互作用。