Imeraj Albi, Olesen Thomas Bastholm, Laursen Ditte Hjorth, Søndergaard Jens, Brandt Carl Joakim
Research Unit for General Practice, Department of Public Health, University of Southern Denmark, Odense, Denmark.
Steno Diabetes Center Odense, Odense University Hospital, Odense, Denmark.
JMIR Form Res. 2022 Sep 14;6(9):e40739. doi: 10.2196/40739.
Digital health interventions are increasingly used to handle and promote positive health behaviors. Clinical measures are often used, and a certain precision is essential for digital health interventions to have an effect. Only few studies have compared clinically measured weights with self-reported weights. No study has examined the validity of self-reported weight from a mobile app used in a tailored weight loss intervention.
The aim of this study was to analyze the agreement between clinically measured weight and self-reported weight collected from a mobile health lifestyle coaching program during a 12-month weight loss intervention for obese patients with and without type 2 diabetes. The secondary aim was to investigate the determinants for possible discrepancies between clinically measured and self-reported weights of these patients with different demographic and lifestyle characteristics and achievements of weight loss goals.
Weight registrations were collected from participants (N=104) in a Danish randomized controlled trial examining the effect of a digital lifestyle intervention on weight loss among obese patients with and without type 2 diabetes. Data were collected at baseline and after 6 and 12 months. Self-reported weight was measured at home and registered in the app.
Self-reported body weight was lower than the weight measured in the clinic after 6 months by 1.03 kg (95% CI 1.01-1.05; P<.001) and after 12 months also by 1.03 kg (95% CI 0.99-1.04; P<.001). After 6 months, baseline weight and BMI were associated with a discrepancy of 0.03 kg (95% CI 0.01-0.04; P=.01) and 0.09 kg (95% CI 0.02-0.17; P=.02) per increment of 1 kg and 1 kg/m, respectively, between clinically measured weight and self-reported weight. Weight change during the first 6 months was also associated with a difference of 0.1 kg (95% CI 0.04-0.01; P<.001) per kilogram of difference in weight between clinically measured weight and self-reported weight. Participants who did not achieve the 5% weight loss goal underestimated their weight by 0.79 kg (95% CI 0.34-1.23) at 6 months. After 12 months, only baseline weight was associated with a discrepancy of 0.03 kg (95% CI 0.01-0.05; P=.02) per increment of kilogram between clinically measured weight and self-reported weight. None of the other factors showed any significant discrepancy after 12 months.
Self-reported weight obtained from mobile health is a valid method for collecting anthropometric measurements.
ClinicalTrials.gov NCT03788915; https://clinicaltrials.gov/ct2/show/NCT03788915.
数字健康干预措施越来越多地用于管理和促进积极的健康行为。临床测量方法经常被使用，一定的精确度对于数字健康干预措施产生效果至关重要。只有少数研究比较了临床测量体重与自我报告体重。尚无研究考察在量身定制的减肥干预中使用的移动应用程序所报告的自我体重的有效性。
本研究旨在分析在为期12个月的减肥干预中，从移动健康生活方式指导项目收集的自我报告体重与肥胖的2型糖尿病患者和非2型糖尿病患者临床测量体重之间的一致性。次要目的是调查这些具有不同人口统计学和生活方式特征以及减肥目标达成情况的患者，其临床测量体重与自我报告体重之间可能存在差异的决定因素。
从丹麦一项随机对照试验的参与者（N = 104）中收集体重记录，该试验考察数字生活方式干预对肥胖的2型糖尿病患者和非2型糖尿病患者减肥的效果。在基线以及6个月和12个月后收集数据。自我报告体重在家中测量并记录在应用程序中。
6个月后，自我报告体重比临床测量体重低1.03千克（95%CI 1.01 - 1.05；P <.001），12个月后同样低1.03千克（95%CI 0.99 - 1.04；P <.001）。6个月后，临床测量体重与自我报告体重之间，基线体重每增加1千克差异为0.03千克（95%CI 0.01 - 0.04；P =.01），基线BMI每增加1kg/m差异为0.09千克（95%CI 0.02 - 0.17；P =.02）。前6个月的体重变化也与临床测量体重和自我报告体重之间每千克差异0.1千克（95%CI 0.04 - 0.01；P <.001）的差异相关。未达到5%体重减轻目标的参与者在6个月时低估体重0.79千克（95%CI 0.34 - 1.23）。12个月后，只有基线体重与临床测量体重和自我报告体重之间每增加1千克0.03千克（
