South American Center of Excellence for Cardiovascular Health (CESCAS), Institute for Clinical Effectiveness and Health Policy (IECS), Buenos Aires, Argentina.
CRONICAS Center of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima, Peru.
Lancet Diabetes Endocrinol. 2016 Jan;4(1):52-63. doi: 10.1016/S2213-8587(15)00381-2. Epub 2015 Dec 1.
Poor diet and physical inactivity strongly affect the growing epidemic of cardiovascular disease worldwide. Mobile phone-based health interventions (mHealth) have been shown to help promote weight loss and increase physical activity and are an attractive approach for health-care systems with limited resources. We aimed to assess whether mHealth with advice for lifestyle improvements would reduce blood pressure, promote weight loss, and improve diet quality and physical activity in individuals with prehypertension living in low-resource urban settings in Latin America.
In this parallel-group, randomised controlled trial, we recruited individuals (aged 30-60 years) with systolic blood pressure between 120 and 139 mm Hg, diastolic blood pressure between 80 and 89 mm Hg, or both from health-care centres, workplaces, and community centres in low-resource urban settings in Argentina, Guatemala, and Peru. Participants were randomly assigned to receive either monthly motivational counselling calls and weekly personalised text messages to their mobile phones about diet quality and physical activity for 12 months, or usual care. Randomisation was stratified by country, and we applied minimisation by sex and age groups. Study personnel collecting and analysing data were masked to group assignment. The primary outcomes were mean between-group differences in the changes in systolic and diastolic blood pressure from baseline to 12 months in an intention-to-treat analysis of all participants who completed assessments at 12 months. Secondary outcome measures were changes in bodyweight, waist circumference, and self-reported target behaviours from baseline to 12 months. The trial is registered with ClinicalTrials.gov, number NCT01295216.
Between March 1, 2012, and Nov 30, 2012, we randomly assigned 637 participants to receive intervention (n=316) or usual care (n=321). 266 (84%) participants in the intervention group and 287 (89%) in the control group were assessed at 12 months. The intervention did not affect change in systolic blood pressure (mean net change -0·37 mm Hg [95% CI -2·15 to 1·40]; p=0·43) or diastolic blood pressure (0·01 mm Hg [-1·29 to 1·32]; p=0·99) compared with usual care. However, we noted a significant net reduction in bodyweight (-0·66 kg [-1·24 to -0·07]; p=0·04) and intake of high-fat and high-sugar foods (-0·75 [-1·30 to -0·20]; p=0·008) in the intervention group compared with the control group. In a prespecified subanalysis, we found that participants in the intervention group who received more than 75% of the calls (nine or more, from a maximum of 12) had a greater reduction of bodyweight (-4·85 [-8·21 to -1·48]) and waist circumference (-3·31 [-5·95 to -0·67]) than participants in the control group. Additionally, participants in the intervention group had an increase in the intake of fruits and vegetables and a decrease in diets high in sodium, fat, and simple sugars relative to participants in the control group. However, we found no changes in systolic blood pressure, diasatolic blood pressure, or physical activity in the group of participants who received more than 75% of the calls compared with the group who received less than 50% of the calls.
Our mHealth-based intervention did not result in a change in blood pressure that differed from usual care, but was associated with a small reduction in bodyweight and an improvement in some dietary habits. We noted a dose-response effect, which signals potential opportunities for larger effects from similar interventions in low-resource settings. More research is needed on mHealth, particularly among people who are poor and disproportionally affected by the cardiovascular disease epidemic and who need effective and affordable interventions to help bridge the equity gap in the management of cardiometabolic risk factors.
National Heart, Lung, and Blood Institute (US National Institutes of Health) and the Medtronic Foundation.
不良饮食和缺乏身体活动强烈影响着全球不断增长的心血管疾病流行。移动医疗干预(mHealth)已被证明有助于促进体重减轻和增加身体活动,对于资源有限的医疗保健系统来说是一种有吸引力的方法。我们旨在评估在资源匮乏的拉丁美洲城市环境中,针对生活方式改善的 mHealth 建议是否可以降低血压、促进体重减轻以及改善血压前期人群的饮食质量和身体活动。
在这项平行组、随机对照试验中,我们从阿根廷、危地马拉和秘鲁的低资源城市环境中的医疗中心、工作场所和社区中心招募了收缩压在 120-139mmHg 之间、舒张压在 80-89mmHg 之间或两者兼有(年龄在 30-60 岁之间)的个体。参与者被随机分配接受每月的动机咨询电话和每周个性化的手机短信,内容是关于饮食质量和身体活动,为期 12 个月,或接受常规护理。随机分配按国家分层,我们通过性别和年龄组进行最小化。收集和分析数据的研究人员对分组分配不知情。主要结局是在所有完成 12 个月评估的参与者中,意向治疗分析中收缩压和舒张压从基线到 12 个月的平均组间差异。次要结局是体重、腰围和自我报告的目标行为从基线到 12 个月的变化。该试验在 ClinicalTrials.gov 上注册,编号为 NCT01295216。
在 2012 年 3 月 1 日至 11 月 30 日期间,我们随机分配了 637 名参与者接受干预(n=316)或常规护理(n=321)。在干预组中,266(84%)名参与者和对照组中 287(89%)名参与者在 12 个月时进行了评估。干预组与对照组相比,收缩压(平均净变化-0·37mmHg[95%CI-2·15 至 1·40];p=0·43)或舒张压(0·01mmHg[-1·29 至 1·32];p=0·99)的变化没有影响。然而,我们注意到干预组体重显著减轻(-0·66kg[-1·24 至 -0·07];p=0·04)和高糖高脂食物摄入量减少(-0·75[-1·30 至 -0·20];p=0·008)。在预先指定的亚分析中,我们发现干预组中接受超过 75%的电话(最多 12 个中的 9 个)的参与者体重减轻更多(-4·85[-8·21 至 -1·48])和腰围减少更多(-3·31[-5·95 至 -0·67]),而对照组参与者体重减轻和腰围减少较少。此外,与对照组相比,干预组参与者水果和蔬菜的摄入量增加,而钠、脂肪和简单糖含量高的饮食减少。然而,我们发现,与接受少于 50%电话的组相比,接受超过 75%电话的组参与者的收缩压、舒张压或身体活动没有变化。
我们基于移动医疗的干预措施并没有导致血压的变化与常规护理不同,但与体重的轻微减轻和一些饮食习惯的改善有关。我们注意到了一种剂量反应效应,这表明在资源有限的环境中,类似的干预措施可能会有更大的效果。需要更多关于移动医疗的研究,特别是在那些受心血管疾病流行影响最大、面临最大风险且需要有效和负担得起的干预措施来帮助缩小心血管代谢风险因素管理方面的公平差距的贫困人口中。
美国国立卫生研究院国家心肺血液研究所和美敦力基金会。