Longitudinal evaluation of an mHealth overweight and obesity management tool
Original Article

Longitudinal evaluation of an mHealth overweight and obesity management tool

Ida Olivia Juhl Langkjær1^, Cilius Esmann Fonvig2,3^, Louise Aas Holm2^, Andreas Friis Pihl4,5^, Jens-Christian Holm1,2,3^

1University of Copenhagen, Faculty of Health and Medical Sciences, Copenhagen, Denmark; 2Faculty of Health and Medical Sciences, Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark; 3Dr Holm App Aps., Holbæk, Denmark; 4Research Unit of General Practice, University of Southern Denmark, Odense, Denmark; 5Roche Diagnostics Denmark, Hvidovre, Denmark

Contributions: (I) Conception and design: CE Fonvig, JC Holm; (II) Administrative support: None; (III) Provision of study materials or patients: CE Fonvig, JC Holm; (IV) Collection and assembly of data: CE Fonvig; (V) Data analysis and interpretation: All authors; (VI) Manuscript writing: All authors; (VII) Final approval of manuscript: All authors.

^ORCID: Ida Olivia Juhl Langkjær, 0000-0001-7647-3080; Cilius Esmann Fonvig, 0000-0002-5031-0125; Louise Aas Holm, 0000-0002-5439-5429; Andreas Friis Pihl, 0000-0003-0158-7205; Jens-Christian Holm, 0000-0003-4653-342X.

Correspondence to: Jens-Christian Holm. Kalundborgvej 114, 4300 Holbæk, Denmark. Email: jch@drholm.com.

Background: Efficient obesity treatment protocols are lacking. This study reports treatment results from a web-based application, originally developed for use in an in-person healthcare setting providing health, overweight, and obesity management.

Methods: The web application DrHolmApp (WADHA) was evaluated in adult users two years after it was launched. The WADHA provides a personal and tailored treatment plan comprising a series of detailed action advices on everyday life, constructed from the user’s input to a thorough online questionnaire. Throughout the subscription period, the WADHA users have full access to online healthcare professional support. We conducted a longitudinal cohort study using self-reported data.

Results: This study included 940 adult WADHA users (861 female). The median body mass index (BMI) change across all WADHA users was –0.63 BMI points (95% CI: –0.7 to –0.57, P<0.001). 665 (71%) of all WADHA users reduced their BMI (median reduction: 0.94, 95% CI: 0.88 to 1.02). In the subset with obesity (n=675), BMI was reduced in 72%. The median number of days per week with physical activity for at least one hour per day increased with 1.5 days per week (from 2 days per week at baseline, P<0.001). Subsequently, the WADHA users improved their mood, quality of life, and body image satisfaction and reduced their appetite, bullying, and wish for weight loss (all P<0.001). A higher number of consultations associated with greater weight loss (P<0.001) independent of age and degree of obesity at treatment initiation.

Conclusions: Seventy-one percent of the WADHA users experienced weight loss, concomitant to an increased level of physical activity, improved mood, quality of life, and body image satisfaction, and reduced appetite, degree of bullying, and wish for weight loss.

Keywords: Body mass index (BMI); mobile health (mHealth); obesity; treatment; weight loss


Received: 10 March 2021; Accepted: 24 June 2021; Published: 20 January 2022.

doi: 10.21037/mhealth-21-8


Introduction

Worldwide, obesity is one of the largest public health challenges of this century. In 2016, the number of adults living with overweight reached 1.9 billion, which corresponds to 39% of the global adult population, of whom 650 million exhibited obesity (1). If the current development continues, by the year of 2030, 58% of the global adult population will live with overweight of which 20% will suffer from obesity (2).

Obesity causes multiple complications. Among the most common complications are hypertension, fatty liver, dyslipidemia, sleep apnea, and depression alongside high prevalence of concomitant type 2 diabetes mellitus, cardiovascular diseases, and cancers. Furthermore, overweight and obesity are found to be associated with reduced physical activity, increased inactivity, poor sleep, and decreased quality of life (3). Therefore, development of innovative and effective methods to counter obesity and its related complications worldwide is needed.

In general, the market for health applications, including applications focusing on weight loss, is expanding, but studies of weight loss applications have shown a significant lack of expert involvement and a lack of evidence-based treatment methods (4-6).

With the growing market and increasing interest from the population, healthcare professionals need to consider implementing mHealth in overweight and obesity treatment strategies. As an example, patients in Germany now get reimbursed when general practitioners prescribe an app in regards of treatment, and in Great Britain they have established their National Health Service Apps Library as well as strategic efforts ensuring of implementation into the clinical practices. Despite these examples, guidelines regarding the use of mHealth in overweight and obesity treatment and criteria for standardized application evaluations, are lacking (6).


The Holbaek obesity treatment (HOT) protocol

The Web Application DrHolmApp (WADHA) is developed according to the HOT protocol, which is an evidence-based, multifaceted obesity treatment protocol designed for the management of overweight and obesity in the pediatric population (7). The treatment is based on general recommendations combined with the perspective and insights of obesity understood as a disease and physiological insights into the endocrine regulation of fat mass; especially how the body adapts when challenged by weight loss (8,9). These insights include an understanding of the body shifting into an energy-preserving mode when the individual is initiating fat mass reducing actions, such as a reduced caloric intake or an increased level of physical activity. The HOT protocol has induced weight loss in 65–85% of more than 3,000 patients (7,10)—with reductions in the degree of obesity independent of baseline degree of adiposity, age, social class (7), glucose metabolism (11), genetic risk score (12), and disturbed eating (13)—reductions in parents’ body mass index (BMI) (14), and amelioration of obesity-related complications in children and adolescents (7,15). This includes reductions in blood pressure (16-18), blood lipid concentrations (19,20), fat accumulation in liver and skeletal muscle (21), and obstructive sleep apnea (22), and improvements in quality of life (23,24) and psychosocial well-being (24).

The HOT protocol has been implemented in hospital settings and the primary healthcare sector in more than 75 out of 98 municipalities in Denmark (7,10,15).

The HOT protocol with its questionnaires and treatment plans have been converted into an online obesity treatment tool, the WADHA.

Here we present the first results of the digital transformation of the HOT protocol from an out-patient treatment clinic to an online web solution.

We present the following article in accordance with the STROBE reporting checklist (available at https://dx.doi.org/10.21037/mhealth-21-8).


Methods

This longitudinal questionnaire-based survey study recruited users of an online web application from December 2017 to December 2019.

WADHA

The WADHA is developed by healthcare professional obesity specialists and is a responsive homepage that mimics a smartphone application on all mobile devices or laptops. By subscribing, the WADHA user gets access to a tailor-made and individualized treatment plan, a multimedia library with text and video clips in obesity education, a grocery shopping guide, healthy recipes, a diary, graphical treatment trajectories, inspiration to physical activity, and online healthcare professional support. The personal treatment plan is constructed automatically after each online consultation by an algorithm based on the answers made in the consultation. The online consultations consist of 90 questions that thoroughly evaluate important details and aim to identify unfavorable logistics and choices in daily life in order to control the environment and thus manage the degree of overweight and related complications. These include questions regarding quantities, frequencies, ingredients, and qualities on meals, eating patterns, appetite, intake of foods high in sugar and fat, physical activity, inactivity, sleep, alcohol and smoking habits, means of transportation, among other. The individualized treatment plan accommodates several strategies, including a meal eating exercise to be used at dinner to help control appetite and meal patterns. The WADHA user is prompted an answer for each question, which is then used to construct a treatment plan that is designed to tailor-make changes in daily life habits (Appendix 1). Furthermore, many of the 90 questions also serve as indirect or direct contributors to the WADHA users’ understanding and awareness of obesity, regardless of whether or not a question results in an actual item on the treatment plan.

The online consultation also evaluates psychosocial well-being using a six-item subjective assessment of the domains: mood, quality of life, appetite, bullying, wish for weight loss, and body image satisfaction based on the WADHA user’s general everyday life during the past few weeks. This is assessed by use of a visual analogue scale (VAS) score used in treatment and studies of childhood and adolescent obesity. The assessment tool was developed for daily clinical practice, comprising simple questions addressing each of these six important psychosocial qualities in an understandable manner, where the WADHA users are asked to rate the abovementioned parameters on a VAS score from 0 to 10 as described by Fonvig et al. (24). As an example, the WADHA users are asked “Do you have the best life [10], the worst life [0], or somewhere in between?” when asked about their quality of life (Table 1). Based on the WADHA user’s perception of the specific parameter, the user places the curser on a blank line marked with 0 and 10 in each end. The exact value is calculated by the software.

Table 1

The subjective visual analogue scale score assessment

Domains Definition Question
Mood The experience of being happy or sad most of the time “Are you very happy [10], very sad [0], or somewhere in between?”
Quality of life The general perception of life and its contents “Do you have the best life [10], the worst life [0], or somewhere in between?”
Appetite The degree of feeling hungry “Are you very hungry [10], not hungry [0], or somewhere in between?”
Bullying Being socially excluded, teased, beaten, or bothered in a repulsive manner “Are you bullied a lot [10], never bullied [0], or somewhere in between?”
Motivation The degree of the wish to lose weight “Do you want to lose weight [10], do you not care to lose weight [0], or somewhere in between?”
Body Image Satisfaction The perception of own body image and contentment of own physical appearance “Are you happy with your body [10], are you dissatisfied with your body [0], or somewhere in between?”

Table 1 is reprinted by permission from Springer Nature Customer Service Centre GmbH: Springer Nature, Quality of Life Research, Subjective evaluation of psychosocial well-being in children and youths with overweight or obesity: the impact of multidisciplinary obesity, Cilius Esmann Fonvig et al., 2017.

The online consultation is primarily digital with an option to receive healthcare provided support. The online consultations consist of the questionnaire described above with the personal treatment plan as the immediate outcome.

Follow-up consist of repetitions of the online consultation and can be repeated an unlimited number of times; the only limitation is that the next online consultation is locked for 14 days after each consultation. The overall goal is to periodically adjust and revise the treatment plan according to new habits and relevant challenges in daily life and thereby process-develop the mind of the WADHA user to continuously cope and comply with the treatment plan which aims to control the environment amidst individual challenges.

The WADHA is publicly available on the internet (25,26). Users can buy a subscription for 3, 12, or 24 months.

None of the WADHA users received any compensations, reimbursements, or payments for participating in the program.

All assessments are self-reported by the WADHA users in each of the online consultations. The WADHA users were consecutively included by subscription over time and completed a varying number of online consultations. The present study only reports the first and the last consultation regardless of the individual WADHA user had two or more than 30 consultations. Follow-up is therefore the latest consultation before data evaluation. Data extraction took place two years after launching the WADHA.

The WADHA is currently available in Danish, English, Arabic, and Norwegian, although only data from the Danish version has been evaluated in the present study.

Ethics

All included data from the study population is given with consent, and WADHA users have consented to having their data analyzed and stored according to the European GDPR regulations (27).

This study was conducted according to the Helsinki Declaration (as revised in 2013). In accordance with Danish Law [section 14(2) of the Committee Act of the Danish National Committee on Health Research Ethics], this questionnaire-based survey study, which does not involve human biological material, should not be notified or reported to a research ethics committee.

Statistical analysis

Normality of data was evaluated using histograms and Q-Q plots. All variables, except from age, exhibited a non-normal distribution. The paired Wilcoxon signed rank test was used to analyze differences in continuous variables (age, height, weight, BMI, treatment duration, number of consultations, number of days per week with physical activity (PA) more than 1 hour/day, and the domains on the VAS) from baseline to follow-up and the corresponding nonparametric CI. The sample estimates were expressed as a ‘(pseudo)median’ difference. Skewness of all continuous variables was evaluated by residual plots, where random patterns identified variables with no need for data transformation. All the variables showed no need for data transformation. Accordingly, applying the ‘skewness’ measure (R-package: ‘moments’) showed that none of the variables exhibited a skewness number closer to 0 (zero) after log-transformation. The Chi-squared test was used to perform between-group analysis of gender composition.

Associations with change in BMI were investigated by multivariate linear regression models adjusted for age, gender, baseline degree of obesity, treatment duration, and number of online consultations.

The level of significance was set at P<0.05. Statistical analyses were performed using “R” statistical software version 4.0.2 (28).


Results

Study sample

This study included 979 adult WADHA users who had completed at least two online consultations.

Exclusion criteria were (I) a height change of more than 9 cm during treatment, (II) a weight change of more than an average of 1.3 kg per day during the course of treatment, and (III) a BMI-change of more than an average of 0.5 points per day during the course of treatment. Thirty-nine were excluded due to reported abnormal changes in height (n=36), weight (n=3), or BMI (n=0).

WADHA user characteristic developments

Among the remaining 940 (861 female) WADHA users, the median BMI at follow-up was 33.3 [interquartile range (IQR): 29.0–37.9] (33.9 at baseline). At follow-up, the fraction with normal weight had increased to 4.0% (from 2.3%), the fraction with overweight had increased to 28.5% (from 25.9%), and the fraction with obesity had decreased accordingly (see Table 2).

Table 2

Characteristics of the 940 WADHA users

Variables Baseline Follow-up P-values
Age, years, means (SD) 49.1 (11.1) 49.4 (11.1) <0.001
Baseline BMI, kg/m2, medians (IQR) 33.9 (29.6–38.9) 33.3 (29.0–37.9) <0.001
Obesity class III (≥40), n (%) 185 (19.7) 157 (16.7)
Obesity class II (35–39.9), n (%) 219 (23.3) 208 (22.1)
Obesity class I (30–34.9), n (%) 271 (28.8) 269 (28.6)
Overweight (25–29.9), n (%) 243 (25.9) 268 (28.5)
Normal weight (18.5–24.9), n (%) 22 (2.3) 38 (4.0)
Underweight (BMI <18.5), n (%) 0 (0.0) 0 (0.0)
Visual Analogue Scale, medians (IQR)
   Mood 6.7 (4.4–7.9) 7.1 (5.4–8.4) <0.001
   Quality of life 6.9 (5.4–8.0) 7.3 (5.9–8.3) <0.001
   Appetite 6.7 (5.2–8.2) 6.2 (3.5–7.4) <0.001
   Bullying 0.1 (0.0–1.1) 0.0 (0.0–0.8) <0.001
   Wish for weight loss 10.0 (9.8–10.0) 10.0 (8.6–10.0) <0.001
   Body image satisfaction 1.5 (0.4–3.1) 2.3 (0.8–4.3) <0.001
Treatment duration days, medians (IQR) 52.0 (25.0–84.0)
Number of consultations, medians (IQR) 3.0 (2.0–4.0)

WADHA, Web Application DrHolmApp; SD, standard deviation; BMI, body mass index; IQR, interquartile range.

The median treatment duration was 52 days (IQR: 25–84) and the median number of consultations was 3 (IQR: 2–4) ranging up to more than 40 consultations.

The median VAS scores at follow-up were: mood 7.1 (6.7 at baseline), quality of life 7.3 (6.9 at baseline), appetite 6.2 (6.7 at baseline), bullying 0.0 (0.1 at baseline), wish for weight loss 10.0 (10.0 at baseline), body image satisfaction 2.3 (1.5 at baseline).

Effectiveness on weight loss

The median BMI change of all 940 WADHA users was –0.63 BMI points (95% CI: –0.70 to –0.57, P<0.001). A total of 641 (71%) of the WADHA users reduced their BMI (median change: –0.94, 95% CI: –1.02 to –0.88), while 9% maintained their BMI, and 20% increased their BMI (median increase: 0.68, 95% CI: 0.57−0.80).

The median number of days per week with PA for at least one hour per day increased with 1.5 days per week (95% CI: 1.5–1.5, P<0.001) from 2.0 days per week at baseline.

Subsequently, the WADHA users improved their mood by 0.4 points (P<0.001), quality of life by 0.4 points (P<0.001), and body image satisfaction by 0.8 points (P<0.001). They reduced their appetite by 0.7 points (P<0.001), bullying by 0.2 points (P<0.001), and the wish for weight loss by 0.8 points (P<0.001).

In the subset of WADHA users with obesity (n=675), BMI was reduced in 72%, while 8%had an unchanged BMI, and 20% increased BMI.

Associations with weight loss

In the basic linear regression model (Table 3), the change in BMI was inversely associated with age (P<0.001) and gender (P=0.04), and the BMI at baseline (P=0.01), indicating that higher age, the male gender, and a higher BMI at baseline associate with greater reductions in BMI.

Table 3

Multiple linear regression showing the relationship between the change in BMI and age, gender, and baseline BMI in the 940 adult WADHA user

Independent variables (∆BMI as the dependent variable) Basic model
β (SE) R2 P
Age, years –0.02 (0.004) 0.01 <0.001
Gender –0.34 (0.17) 0.02 0.04
BMI at baseline –0.02 (0.01) 0.02 0.01

Estimates (β), standard errors (SE), and correlation coefficients (R2) of the relationship between the change in BMI, age, gender, and baseline BMI. WADHA, Web Application DrHolmApp; BMI, body mass index.

When further adjusting for either treatment duration (P=0.68; Table 4, model A) or number of consultations (P<0.001; Table 4, model B) in each their model, only number of consultations was associated (inversely) with the change in BMI. This indicates that a higher number of consultations associate with greater reductions in BMI.

Table 4

Multiple linear regression showing the relationship between the change in BMI and age, gender, and baseline BMI (like in Table 3) and further adjusted for treatment duration (model A) and number of consultations (model B) in the 940 adult WADHA users

Independent variables (∆BMI as the dependent variable) Model A Model B
β (SE) R2 P β (SE) R2 P
Age, years –0.02 (0.004) 0.01 <0.001 –0.02 (0.004) 0.01 <0.001
Gender –0.37 (0.17) 0.02 0.048 –0.35 (0.17) 0.02 0.04
BMI at baseline –0.02 (0.01) 0.02 0.01 –0.02 (0.01) 0.02 0.02
Treatment duration, days –0.0001 (0.0003) 0.02 0.68
Number of consultations –0.05 (0.01) 0.05 <0.001

Estimates (β), standard errors (SE), and correlation coefficients (R2) of the relationship between the change in BMI and age, gender, baseline BMI, and further adjusted for treatment duration (model A) and number of consultations (model B). WADHA, Web Application DrHolmApp; BMI, body mass index.

Accordingly, a stepwise categorization of the WADHA users, based on the number of online consultations completed, showed that higher fractions reduce their BMI with higher numbers of completed consultations (Figure 1). In another regression analysis, adjusted for age, gender, baseline BMI, number of days per week with PA for at least one hour per day at baseline, and number of consultations, the change in PA was inversely associated with the change in BMI (P<0.001).

Figure 1 The fraction of WADHA users with a reduced, stable, or increased BMI at follow-up; categorized by number of completed online consultations. The left column shows all the 940 WADHA users who completed at least 2 online consultations of whom 71% reduced their BMI, the second column from the left shows the 543 WADHA users who completed at least 3 online consultations of whom 78% reduced their BMI, etc. WADHA, Web Application DrHolmApp; BMI, body mass index.

In addition to the 940 WADHA users who completed at least two online consultations, another 760 (652 female, median age =48.0 years, median BMI =33.2) adult WADHA users completed just one online consultation (WADHAnoFollow-up). The WADHAnoFollow-up users were comparable in age (48.9 vs. 48.0 years, P=0.06) and exhibited a slightly lower baseline BMI (33.2 vs. 33.9, P=0.02) and a higher fraction of males (14.2% vs. 8.4%, P<0.001) than the 940 WADHA users who completed at least two online consultations.


Discussion

This longitudinal study is the first evaluation of the mHealth solution WADHA. The study found that 71% of the WADHA users exhibited weight loss. Furthermore, levels of PA increased while mood, quality of life, and body image satisfaction was improved and appetite, degree of bullying, and wish for weight loss was reduced.

Among the 940 WADHA users, the median BMI change was ‒0.63 BMI-points. The WADHA seems to replicate similar and significant reductions in BMI, as previously seen in original clinical studies of the HOT protocol (7,10), indicating that the protocol can be transferred from children and adolescents to adult users and from clinical practice into an online format.

The reduction in BMI is also in accordance with a retrospective cohort study by Chin et al. where 35,921 adults followed a lifestyle behavioral changing app for a median of 267 days, resulting in a median BMI reduction of 1.7 and weight loss achieved in 77.9% of the app users (29). The lower BMI reduction and lower fraction with weight loss in the present study might be explained by the shorter treatment duration in the present study. In contrast, the present study reports larger weight loss fractions than observed in a large study by Hu et al. (n=8,977) that reported weight loss in 59% after ~340 days of intervention, focusing solely on dietary habits, meal planning, recipes, and goal setting (30). The higher fraction of app users losing weight despite a shorter treatment duration in the present study could indicate that interventions addressing weight loss from multiple target points produce greater weight loss than the ones mainly focusing on dietary components. The present study found that 20% increased their BMI. Previous studies of the HOT protocol have shown that among children and adolescents who increased their BMI during treatment, 80% improved their lipid concentrations and 61% improved their body composition despite the BMI increase (20). Measurements of body composition and lipid profile of the WADHA users would be of considerable interest, in order to investigate whether the WADHA can produce similar results.

A higher BMI at baseline was found to associate with greater reductions in BMI which is in accordance with the aforementioned studies of Chin et al. (29), Hu et al. (30), and a study of Hwang et al. (31) that evaluated a free online weight loss program (educational content, self-monitoring of weight, diet, exercise, and social support functions, n=1,258). All three studies similarly found that a higher BMI at baseline associated with greater weight loss.

A higher age was found to associate with greater reductions in BMI in the present study, which is in line with Hu et al. (30) who found the older users (older than 60 years) to lose more weight. In contrast, Chin et al. (29) found that younger users (younger than 33 years) lost more weight. The difference in results might be due to differences in target groups, advertisement platforms, price, and other commercial parameters. An evaluation of general medical practitioners in Denmark have found that patients above 65 years of age tend to engage more with physicians through e-mail consultations (32). It is possible, that the age distribution among the users in the present study could be explained by such a trend.

A greater weight loss was associated with a higher number of online consultations, which is in accordance with the aforementioned studies (29-31) reporting that more frequent use of an app was associated with greater weight loss.

Finally, male gender associated with greater reductions in BMI, which is in line with other studies (29,30).

In the present study, the median number of days per week with PA for at least one hour per day increased by 1.5 days per week from 2.0 days per week at baseline. A 12-month randomized controlled trial by Thomas et al. (33) (n=279) compared (I) an online intervention (weight, diet, and exercise) with (II) the online intervention combined with a physical activity tracker, and (III) with a control group. They found a limited and temporary increase in PA of 1–7 minutes per day after three months and a decrease in PA of 1–2 minutes per day after 12 months in the intervention groups. Thomas et al. reported a five-percent weight loss in approximately 20% of the participants in the intervention groups. The greater fraction with weight loss in the present study could be explained by the configuration of an explicit, concrete, comprehensive, and tailor-made treatment plan in combination with a set of advices targeting many known aspects related to weight loss; all put together in one mHealth solution.

The WADHA users improved mood, quality of life, and body image satisfaction and reduced their appetite, bullying, and wish for weight loss. This improvement on all VAS qualities indicates that the WADHA users seem to experience a greater life fulfillment in general.

Psychosocial well-being has not been routinely investigated in regard to mHealth weight loss applications. However, a 24-week randomized controlled trial (n=88) from Brindal et al. (34), comparing a ‘control app’ with tracking of weight, diet, and exercise to a ‘full intervention app’ including feedback and a possibility to evaluate on changes in mood, found an improved life satisfaction for both groups. These results are consistent with the present study in terms of reporting an improvement in mood and life-satisfaction. Mood and life satisfaction are found to be central in weight loss maintenance (35), and it would be interesting to investigate whether mood and life satisfaction could be used as indicators of long-term outcomes.

Limitations

Data from the present study have not been compared to a control group, which is an incorporate limitation arising from the study design. All data in this study were self-reported, which due to overestimation and social desirability, as well as typing errors and errors in measurement of height and weight, may have produced inaccurate data. Nevertheless, the degree of potential divergence associated with self-reported data are most likely the same at both baseline and follow-up, thus plausibly making the estimations of changes relevant and useful. It is remarkable that only 8.4% of the app users in the present study were males. In order to investigate the impact of gender more thoroughly, an equal distribution between genders is desirable.

Even though the HOT protocol primarily has been targeting children and adolescents, it has been shown to produce reductions in parents’ BMI indicating a positive effect on the entire family (14). Therefore, it might be relevant to consider that the family as a whole might benefit from one WADHA household subscription—and that adult males consequently do not need to subscribe themselves, leading to a skewed gender distribution. Lastly, the relatively short study period is also a limitation, as a study spanning several years would be preferable in order to explore the long-term effects of the WADHA.

Perspectives

Mobile apps can be as effective as conventional weight loss programs, and the WADHA provides an alternative to in-person consultations, since the results are on par with those of a multifaceted, healthcare professional, hospital, and municipality setting (7,10). A combination of conventional weight loss programs and an app-intervention have shown to be more effective (36). As the HOT Protocol and the mHealth app-version (WADHA) are based on the same treatment protocol, it would be interesting to investigate if this combination can offer an opportunity to further improve the treatment outcome for people living with obesity.


Conclusions

This longitudinal study shows that the results of an evidence-based, multifaceted obesity treatment model originally developed for in-person use in hospitals and primary care settings are reproducible in an online-only version. The study showed weight loss in 71.4% of the WADHA users, increase in PA levels, improvement of mood, quality of life, and body image satisfaction, and reduction in appetite, degree of bullying, and wish for weight loss. Furthermore, this study showed that we are capable of transferring a protocol designed for children and adolescents to adults.


Acknowledgments

Funding: None.


Footnote

Reporting Checklist: The authors have completed the STROBE checklist. Available at https://dx.doi.org/10.21037/mhealth-21-8

Data Sharing Statement: Available at https://dx.doi.org/10.21037/mhealth-21-8

Peer Review File: Available at https://dx.doi.org/10.21037/mhealth-21-8

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://dx.doi.org/10.21037/mhealth-21-8). CEF reports stock or stock options in Dr Holm group. JCH reports ownership of Dr Holm Group and serves as an advisor of The Novo Nordisk Global Childhood Obesity advisory board, Advisor and lecturer of Rhythm Pharmaceuticals, advisor and assessor of German Centre for Child and Youth Health, and Executive member of European Association for the Study of Obesity (EASO). AFP declares no conflict of interest, but JCH is his father-in-law. The other authors have no conflicts of interest to declare.

Ethical Statement: The authors are accountable for all aspects of the work in the ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. All included data from the study population is given with consent, and WADHA users have consented to having their data analyzed and stored according to the European GDPR regulations. This study was conducted according to ethical standards defined by the Danish national research ethics committees and the Helsinki Declaration (as revised in 2013). In accordance with Danish Law (section 14(2) of the Committee Act of the Danish National Committee on Health Research Ethics), this questionnaire-based survey study, which does not involve human biological material, should not be notified or reported to a research ethics committee.

Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.


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doi: 10.21037/mhealth-21-8
Cite this article as: Langkjær IOJ, Fonvig CE, Holm LA, Pihl AF, Holm JC. Longitudinal evaluation of an mHealth overweight and obesity management tool. mHealth 2022;8:2.

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