Accepted for/Published in: JMIR Formative Research
Date Submitted: Jul 3, 2022
Date Accepted: Aug 29, 2022
Date Submitted to PubMed: Sep 1, 2022
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Agreement between Measured and Self-reported Weight among Patients with Type 2 Diabetes through an mHealth Lifestyle Coaching Program in Denmark: A Validation Study
ABSTRACT
Background:
Digital health interventions (DHIs) are increasingly used to handle and promote positive health behaviours. Clinical measures are often used, and a certain precision is essential for DHIs to have an effect. Few studies have compared clinically measured weight to self-reported weight. No study has examined the validity of self-reported weight from a mobile app used in a tailored weight loss intervention.
Objective:
To analyse the agreement between clinically measured versus self-reported weight collected from a mobile health (mHealth) lifestyle coaching program during a 12-month weight loss intervention for obese patients with and without type 2 diabetes (T2D). A secondary aim was to investigate determinants for possible discrepancies between clinically measured and self-reported weight by different demographic and lifestyle factors and achievement of weight loss goals.
Methods:
Weight registrations were collected from participants (n=104) from a Danish RCT examining the effect of digital lifestyle intervention on weight loss among obese patients with and without T2D. Data was collected at baseline and after 6 and 12 months. Self-reported weight was measured at home and registered into the app.
Results:
Self-reported body weight was lower compared to weight measured in the clinic; 1.03 kg, p<0.001 (1.01;1.05) after 6 months and 1.03 kg p<0.001 (0.99;1.04) after 12 months. Baseline weight and BMI after 6 months were associated with discrepancy between measured and self-reported weight with 0.03 kg, p=0.012 (0.01;0.04), and 0.09 kg p=0.017 (0.02;0.17), per increment of kg and kg/m2 respectively. Weight change during the first 6 months was also associated with difference between measured and self-reported weight with 0.1 kg, p=0.001, (0.04;0.01) per 1 kg of ∆weight. Non achievement of a 5% weight loss was associated with difference at 6 months with 0.79 kg (0.34;1.23). After 12 months only baseline weight was associated with discrepancy between measured and self-reported weight with 0.03 kg, p=0.019, 95% CI (0.01;0.05) per increment of kg. None of the other factors showed any significant discrepancy after 12 months.
Conclusions:
Self-reported weight obtained from mHealth is a valid method for collecting anthropometric measurements.
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