Skip to main content

ORIGINAL RESEARCH article

Front. Public Health, 12 June 2023
Sec. Public Health and Nutrition

Using patient-reported outcome measures to assess the effectiveness of social media networking programs for people living with overweight and obesity to adopt a healthier lifestyle

Alend Saadi,
Alend Saadi1,2*Jean-Marc Fellrath,Jean-Marc Fellrath1,3Joanna Bec-MoussallyJoanna Bec-Moussally4Chrysoula Papastathi-BoureauChrysoula Papastathi-Boureau1Cline BlancCéline Blanc4Valentin CourtineValentin Courtine4Lo VaniniLéo Vanini4Marc MarechalMarc Marechal4Florence AuthierFlorence Authier5Bertrand CurtyBertrand Curty6Pierre Fournier,Pierre Fournier7,8Michele Diana,Michele Diana9,10Stphane Saillant,Stéphane Saillant3,11
  • 1Department of Surgery, Neuchâtel Hospital, Neuchâtel, Switzerland
  • 2Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland
  • 3Faculty of Medicine, University of Geneva, Geneva, Switzerland
  • 4Ligue Pulmonaire Neuchateloise, Neuchâtel, Switzerland
  • 5Espace Nutrition, Neuchâtel, Switzerland
  • 6Centre Médical de La Côte, Corcelles, Switzerland
  • 7Service de Chirurgie, Hôpital de Nyon, Nyon, Switzerland
  • 8Service de Chirurgie Viscérale, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland
  • 9IRCAD, Research Institute Against Digestive Cancer, Strasbourg, France
  • 10Department of Surgery, Strasbourg University Hospital, Strasbourg, France
  • 11Département de Psychiatrie Générale et de Liaison, Centre Neuchâtelois de Psychiatrie, Neuchâtel, Switzerland

Introduction: Overweight, obesity, and their associated health complications have become a major public health issue. Online approaches have been rarely attempted to address the problem. The aim of this study was to evaluate the effectiveness of using social media networking for people living with overweight and obesity to adopt a healthier lifestyle with a three-month multidisciplinary healthcare program. Effectiveness was assessed through questionnaires on patient-related outcome measures (PROMs).

Materials and methods: Two non-profit associations designed the program delivered to people living with overweight and obesity in a closed group via Facebook, the popular social network. The three-month program had three main axes, namely nutrition, psychology, and physical activity. Anthropomorphic data and sociodemographic profiles were collected. Quality of life (QoL) was assessed at the beginning and at the end of the intervention using PROM questionnaires for six different domains, i.e., body image, eating behavior, physical, sexual, social, and psychological functioning.

Results: Six hundred and twenty persons participated in the program; 567 persons consented for the study, and 145 completed the questionnaires entirely. QoL was significantly improved in five out of six domains, i.e., body image, eating behavior, as well as physical, sexual, and psychological functioning. The improvement was valid regardless of age, gender, initial body mass index, person with or without children, educational level (primary versus secondary versus high school), and occupation (employment compared to unemployment or any kind of social assistance). In multivariate analysis, living as a couple was an independent factor correlated to a positive progression in four domains, i.e., body image, eating behavior, as well as physical, and psychological functioning.

Conclusion: This study showed that an online lifestyle intervention might be a promising way of improving the quality of life of people living with overweight or obesity.

1. Introduction

Obesity is a chronic and progressive condition with a significant biological predisposition (1). Overweight and obesity are associated with many complications, including cardiovascular, metabolic, respiratory, and osteo-articular problems (2). Its prevalence keeps increasing worldwide as it has become a major public health issue (3). The links between obesity and mental health are unclear. However, it seems obvious that there is a major mutual influence. When body dissatisfaction is present, it could negatively affect psychological health and physical activity, leading to dysfunctional eating behaviors. Consequently, obesity can also have a major impact on the mental health of patients (46). There are multiple treatments for obesity. However, the use of strict low-calorie diets. Additionally, popular diets without specific calorie targets have shown its limitations, since they lead to weight regain in most cases (79). Beyond prevention and once the disease has been confirmed, it initially requires multidisciplinary treatments focused on lifestyle changes to promote healthier habits (10). However, due to the disease’s complex and multifactorial origin, the implementation of such projects is uneasy (11). Additionally, at community level, it requires substantial resources to treat a large number of people (12).

Implementing health interventions via the Internet and social media networking have the great advantage of treating large numbers of persons at reduced costs (13). When interactive, it allows the creation of a dynamic group with participants, which has been associated with better results. It is a component of the social cognitive theory, which suggests that prior to self-efficacy, social support enhances the process of behavioral change and maintenance (14). The implementation of online health projects via the Internet as a large-scale prevention and treatment resource could very well represent a major opportunity to handle overweight and manage obesity as a complement to conventional face-to-face treatments.

Several online programs have already been set up. The results are heterogeneous, probably due to different methods and target populations; nevertheless, they remain promising (1519). One of the issues is the methods used for the assessment of their effectiveness by measuring weight loss or maintenance. Experience has shown that lifestyle interventions led to modest weight loss (10). Additionally, overweight and obesity have multiple consequences on quality of life (QoL), and more particularly so in psychological, physical, and social domains. The World Health Organization (WHO) defines QoL as individuals’ perception of their position in life within the context of the culture and value systems in which they live and in relation to their goals, expectations, norms, and concerns (20). It is why, beyond any potential weight loss, it is crucial to evaluate the QoL of participants, as it has not been achieved effectively so far. In addition, the way that QoL is measured is of paramount importance. It appears utterly necessary to use appropriate tools to assess it effectively. First, it is essential to include patient opinions through questionnaires on patient-reported outcome measures (PROMs) (21). PROMs are tools used to measure patient perceptions of their own health status, clinical outcomes, mobility, and quality of life. The use of patient-reported indicators helps to provide a more comprehensive picture of health treatment performance (22). Additionally, disease-specific PROMs seemed more effective and sensitive in gauging outcomes than generic QoL questionnaires (23).

The aim of this study was to evaluate the effectiveness of a multidisciplinary health program for people living with overweight and obesity using PROMs questionnaires delivered via Facebook, the social media network, by two Swiss-based non-profit organizations (NPOs).

2. Materials and methods

2.1. Program description

Two non-profit organizations have launched a health program for people living with overweight and obesity (2426) in the Neuchâtel canton in Switzerland. It was a three-month intervention prepared by a multidisciplinary team of professionals in order to promote the adoption of healthier lifestyle habits. The inclusion criteria were as follows: place of residence in the Neuchâtel canton, to be aged over 17 with a body mass index (BMI) ≥25 kg/m2. The BMI was calculated according to the declared weight and height of the participants. There were no exclusion criteria other than a BMI <25 kg/m2 and the geographical component for operational reasons. This was the decision and will of the promoting organizations to be as inclusive as possible, targeting large public health interventions. Involvement was charge-free for participants. Registrations began following a press conference for the local traditional press on August 15, 2021 along with an announcement on social media networks. The program was delivered from September 5 to December 5, 2021.

2.2. Implementation

The program was designed in the form of posts with either short written messages and/or didactic videos. Field professionals developed all educational materials and recommendations, and a team of experts dedicated to the management of obesity reviewed and validated it. Community managers published the posts usually once a day during weekdays and twice to three times on weekends. These managers moderated the debates between attendees, and they were also available to answer questions or refer to specific enquiries to the healthcare professionals in charge of each domain. Some face-to-face events were also organized upon registration to allow participants to meet for activities such as outside walking and mindful eating. Table 1 summarizes the topics covered, their domains (general information, nutrition, physical activity, or psychology), their format (text or video), as well as the overall and week-by-week chronology.

TABLE 1
www.frontiersin.org

Table 1. Summary of the program.

2.3. The three main axes of the program

Physical activity: A professional sports coach was in charge of this aspect. The aim was to find a daily or weekly routine habit to move and do exercises. A pedometer was provided. The participants were asked to report the count of their daily steps. The project revolved around the symbolic objective of an odyssey to reach Beijing (China) on foot from Neuchâtel (Switzerland) counting the steps of all participants during the 3 months. Adapted fitness exercises, including several levels of difficulty to be accessible to all, were shown and encouraged with videos.

Nutrition: The first objective was to break the vicious circle of repetitive restrictive low-calorie diets that many candidates previously experienced. A dedicated dietician prepared the posts. The objectives were to allow attendees to reconnect with their appeased food sensations and to eat with pleasure. Another point was to promote a healthy diet according to the recommendations of the Swiss Society of Nutrition (27). Healthy recipes from around the world were featured as the symbolic walking odyssey progressed through different countries.

Psychology: A dedicated psychologist prepared many topics to discuss with participants. The objective of this axis was to help participants to understand the psychological mechanisms underlying the unhealthy habits and behaviors. First, general information about the notion of motivation, and how to plan any behavioral change were delivered. Participants were then taught how their emotions could influence weight loss or gain, especially through their eating behaviors. They were asked to train to identify and regulate their emotions. A special focus was put on stress management, guilt decrease, and emotional acceptation. Afterwards, the link between sleep disorders and weight gain was clarified and behavioral strategies were mentioned to improve sleep quality. Finally, negative body image has been dealt with through posts explaining the role of developmental factors such as pressures to reach occidental beauty standards usually conveyed by the media, past interpersonal experiences, morphological characteristics, cognitive distortions, checking and avoidance behaviors in the maintenance of body dissatisfaction. Throughout this axis, change was encouraged through self-observational and exposition exercises (28) to reach the objective of a better lifestyle.

A dedicated platform was created for the program, allowing for the secure registration of participants protected via an individual password. Personal data and registration forms were collected directly through this secured online platform in accordance with the Swiss regulation (ISO 27001 certification).

Once registered, participants were able to join a closed group on Facebook. The animation was delivered via this channel to promote group dynamics and mutual aid between participants.

The global costs of the program were estimated at 130,000 Swiss Francs (CHF). Table 2 summarizes the costs. As some items will be used for future editions and other activities, the weighted cost was estimated at CHF 100,000. The costs were entirely financed by non-profit organizations. They financed themselves through their own remunerated activities, donations, and members’ subscriptions. The program was charge-free for participants.

TABLE 2
www.frontiersin.org

Table 2. Summary of program costs.

At inclusion, participants completed a questionnaire with items related to their anthropomorphic and sociodemographic characteristics such as weight, height, waist circumference, gender, age, educational level, family status (living in a couple or being single, person with children), occupation, and place of birth. They were also asked to complete questionnaires about their QoL, health condition, and expectations at the start and at the end of the program. The QoL questionnaires used included the Body-Q PROMs specific to obesity treatment (29). Six different domains were measured, i.e., body image, eating behavior, as well as physical, sexual, social, and psychological functioning. Each domain was evaluated with 5 to 10 questions and could be used independently. The initial score obtained was then converted into a score ranging from 0 to 100. Higher scores reflected a better outcome, except for the physical function. This last one was more a measure of physical disability. In case of improvement, the score dropped unlike the other domains.

2.4. Study population and design

All the data came retrospectively from the program described above and called “Neuchâtel s’attaque au surpoids” (“Neuchâtel tackles overweight”). It is why the criteria for participation, inclusion, and exclusion are by extension similar to those of the studied program.

The program ran from September 5 to December 5, 2021. The anthropomorphic data and sociodemographic profiles of the participants at the start and at the end of the program, as well as the QoL PROMs were available. Only the participants who consented to the use of their data for scientific purposes were examined. We assessed changes in QoL, as well as weight loss and waist circumference between the beginning and the end of the program. For this step, only data from participants who entirely provided the data and completed questionnaires were considered.

3. Statistical analyses

The statistical analyses were performed using the R software. The analyses on the effect of the program were conducted using Student’s parametric tests for paired samples. The scores obtained in the QoL, weight, and BMI at the beginning and at the end of the program were compared. If the difference was significant, a multiple linear regression was applied to the differences between the values on the final balance sheet and those on the initial balance sheet. The objective of this multiple linear regression was to determine whether gender, age, marital status, presence of children, occupation, educational level, and BMI were related to the evolution of the QoL. This procedure was automated by the glmulti function (30) to fit the best model based on the Bayesian Information Criterion (BIC) (31). The statistical significance threshold was set at p ≤ 0.05. Afterwards, we calculated whether the evolution of the QoL varied according to anthropomorphic data and sociodemographic profiles registered at the start of the program.

For the QoL domains which showed significant improvement, a multivariate analysis was performed. The following parameters were considered: age and baseline BMI as linear parameters, followed by gender, family status (living as a couple or being single), persons with or without children, educational level (primary versus secondary or high school), and occupation (employment compared to unemployment or any kind of social assistance), as well as country of birth (Switzerland versus another country) as binary parameters.

4. Results

Six hundred and twenty persons subscribed to the program; 567 of them gave their consent for this study. These respondents made up the entire group (EG). Among the 567 persons, 145 had fully completed the QoL questionnaires at the start and at the end of the program. These 145 persons made up the study group (SG). Figure 1 summarizes the inclusion process. Table 3 summarizes the characteristics of EG whereas Table 4 summarizes those of the SG.

FIGURE 1
www.frontiersin.org

Figure 1. Inclusion process. EG, entire group; SG, study group.

TABLE 3
www.frontiersin.org

Table 3. Characteristics of the entire group.

TABLE 4
www.frontiersin.org

Table 4. Characteristics of the study group.

Table 5 summarizes the evolution with a univariate analysis of the six domains of QoL at the beginning as compared to the end of the program according to the Body-Q PROMs for the SG. All domains showed significant improvement (p < 0.001), except for the domain of social function (p = 0.176).

TABLE 5
www.frontiersin.org

Table 5. Quality of life (QoL) score comparative statistics at the beginning and at the end of the program.

For the QoL domains that showed significant improvement, a multivariate analysis was conducted. The parameters of the multivariate analysis are summarized in Table 6. Age and BMI at baseline were included in the model as a continuous numeric variable; the other variables were categorical. In this analysis, we found the following positive correlation:

TABLE 6
www.frontiersin.org

Table 6. Parameters of the multivariate analysis.

A positive correlation (p < 0.01) in favor of people living as a couple compared to single persons was found regarding the improvement in the following domains of the QoL: body image, eating behavior, as well as physical and psychological functioning.

A positive correlation (p < 0.01) in favor of female compared to male participants was found for the progression of the physical function QoL domain.

A positive correlation (p < 0.01) was found in favor of persons with a lower initial BMI used as a linear parameter for the body image QoL domain improvement.

Finally, the weight and the waist circumference were available at the end of the program for only 46 and 41 participants, respectively. For these, the average weight loss and the average decrease in waist circumference were 6.35 kg and 6.3 cm, respectively.

5. Discussion

To the best of our knowledge, this is the first article which specifically assesses the use and effectiveness of a social media-delivered multidisciplinary program open to all adults presenting with overweight or obesity in a geographical area with the primary outcome being the evolution of QoL with PROMs questionnaires. Our major finding is that the QoL of the participants improved (p < 0.001) in five out of the six domains studied including body image, eating behavior, as well as physical, sexual, and psychological functioning.

Indeed, various studies have shown the efficacy of an intervention via social media networks but aimed at limited subgroups. In the study by Godino et al. (18), the target group was university students while they were medical students in the study by Krishnamohan et al. (32). Other studies such as Ruotsalainan et al. (33) have focused on teenagers. Youth groups and students were often targeted because they were thought to be more comfortable with technology and social media networking. However, according to recent estimates (34), 58% of the world’s population is connected to the Internet and 45% actively uses social networks. In America and Europe, the Internet penetration rate is 78% and 86% respectively, and the social media use rate is 66% (America) and 55% (Europe) respectively. Facebook is the most used social network according to its own data. Because overweight and obesity are a global community health concern, it is valuable to design projects towards a large proportion of the population. In this study, the median age was 49 years. However, mainly women respond to the offer of treatment for people living with overweight and obesity (16, 18, 19, 33). Our study was no exception with 71.6% of women. Women may suffer from greater social and occupational consequences of obesity, which may lead them to more actively search to lose weight (35).

However, there are studies with larger targets, but with exclusion criteria that we believe to be major and which exclude large sections of the population. On one hand, Hales et al. (19) had the following exclusion criteria: pregnancy, persons outside of the 18–65 age range, unable to attend 3 meetings at the University of South Carolina, psychiatric illness, drug or alcohol addiction, uncontrolled thyroid condition, major health condition, eating disorder, currently participating in a weight loss program. On the other hand, Jane et al. (16) had many exclusion criteria (smoking, lipid-lowering drugs, use of steroids and other lipid-influencing agents, use of warfarin, diabetic persons, thyroid dysfunction, major systemic diseases, gastrointestinal problems, intestinal disorders, proteinuria, liver disease, renal failure, vegetarianism, and in the past 6 months no cardiovascular events, no participation in a clinical trial, and no weight fluctuation). In the present study, the multidisciplinary project was designed to fit as many people as possible. The promoters believed that it was crucial to provide sufficient nuance in dietary and psychological counseling, as well as multiple levels of physical activity exercises to be largely inclusive. Another key point was the daily presence of community managers to answer various questions from participants, and more particularly so from people with health and motility limitations.

The second extremely important point is the use of PROMs questionnaires to evaluate the effectiveness of the program. We know that lifestyle interventions lead to modest weight loss (10) and it is not necessarily a good target. Additionally, BMI does not necessarily adequately reflect the state of health or well-being of people living with overweight and obesity (36). However, most studies via social media networking include BMI as the primary outcome (1319, 33). The importance of the measurement of the QoL with PROMs is growing (21). In the present study, we found a statistically significant improvement in 5 of the 6 domains measured including body image, eating behavior, as well as physical, sexual, and psychologicalfunctioning.

Social function remained stable but did not progress despite a social life related intervention by addressing issues such as self-esteem and a positive body image. It is likely that 4 months is too short to change social habits. People living with overweight and obesity suffer from ingrained stigma in society. Stigma is sometimes internalized, making social interactions difficult for them. A longer study is probably necessary to observe significant changes (37). Additionally, this aspect has certainly suffered from the post-lockdown effect of the COVID-19 pandemic.

It was also pointed out that most studies on social media networks have been conducted in Western countries and most often involved a well-educated population, suggestive of the difficulty of transposing the results to the whole population (38). However, some studies showed that access to treatment for people living with obesity was not necessarily linked to the sociodemographic profile or educational level (39). This point is also confirmed in the present study. In the multivariate analysis, the improvement of QoL was not significantly correlated to the age, the occupation or the educational level (i.e., pre-secondary versus post-secondary level). This is very encouraging because it suggests that this type of projects could be useful and valid for the majority of the adult population and because overweight and obesity overly affect the underprivileged population. As a result, it is critical to design interventions which fit them.

Financially speaking, the program cost was estimated at 100,000 CHF, which equals to approximately 160 CHF per participant. This is approximately the price of a single consultation with a general practitioner in Switzerland. This program, even if paid for, is most likely financially beneficial to participants and to the health system supervising the management of overweight and obesity given that it is a multidisciplinary comprehensive healthcare program over a period of 3 months.

In addition, many people living with obesity have poor experiences with healthcare professionals and report that they had been stigmatized in that context (40). This type of program in a kind and comprehensive atmosphere in addition to group dynamics may encourage some participants to go further and seek help from dedicated healthcare professionals.

This study has several limitations. The first one originates from the fact that only 145 of the 567 consenting participants entirely completed the QoL questionnaires at the end of the study. This is explained by the fact that entering the program required completing all questionnaires. This action lasted about 30 min. On the other hand, at the end, questionnaire completion was at the discretion of the participants since there was obviously no obligation or consequences for them. Despite the encouragement of the organizers to do so, only a part of the participants also completed the final evaluation questionnaires. As this study retrospectively used the delivered program data, participation and attrition rates were directly related to how it was organized.

Another weakness originates from the fact that there is no comparison group. It is due to the retrospective nature of the study. Additionally, like many obesity treatments, mostly women participated. Finally, the duration of the program was of only 3 months whereas the obesity condition was chronic and relapsing. The program could be considered as an initiation to change for a healthier lifestyle. The promoters made this point clear throughout the program and made participants aware of the need for long-term follow-up by healthcare professionals, especially in case of related complications.

In this study, two major parameters are salient. The first parameter is the broad and inclusive character of the program, and then subsequently the study. Participation in the program was open to all persons aged over 17 living with overweight and obesity without any other exclusion criteria, and particularly health conditions. The second extremely important parameter is the use of PROMs questionnaires to evaluate the effectiveness of the program.

6. Conclusion

This three-month multidisciplinary program using a social media network promoting change to a healthier lifestyle for people living with overweight and obesity showed a significant improvement in QoL in five domains including body image, eating behavior, as well as physical, sexual, and psychological functioning. The improvement was irrespective of initial BMI, age, gender, occupation, and educational profile. This may be an additional promising tool to treat large groups of persons suffering from overweight and obesity hand in hand with community conventional treatments.

Data availability statement

The data analyzed in this study is subject to the following licenses/restrictions: a dedicated platform was created for the program, allowing for the secure registration of participants protected by an individual password. Personal data and registration forms were collected directly through this secured online platform in accordance with the Swiss regulation (ISO 27001 certification). Requests to access these datasets should be directed to marc.marechal@lpne.ch.

Ethics statement

All procedures performed in this study were in accordance with the ethical standards of the non-profit organizations involved and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. Informed consent was obtained from all individual participants included in the study.

Author contributions

AS: substantial contributions to the conception and design, analysis and interpretation of data for the work, and drafting the work. J-MF, JB-M, CP-B, CB, VC, FA, BC, PF, MD, and SS: substantial contributions to the conception and design, interpretation of data, and revising critically the work. LV and MM: substantial contributions to the conception and design, acquisition and analysis of data, and revising critically the work. All authors contributed to the article and approved the submitted version.

Funding

This study was supported by the two non-profit organizations which delivered the program (22, 23).

Acknowledgments

The authors would like to thank Basma Benhaddou and Guy Temporal for their assistance with proofreading this article, Sanja Blazevic and Christine Reuse, community managers, for their dedicated work, Sabrina Alberti, a psychologist for her participation in the program. Special thanks go to Pascale Giron-Lanctuit, cofounder of Pour un Poids Sain (PoPs) for her invaluable support. Special thanks also go to the regretted Roland Savioz, owner of ObeeOne, who initiated the idea of the program, and to Baptiste Savioz, his son, who provided the concept to the non-profit organizations (NPO). Huge thanks go to the members of the NPO’s committees and their staff for their outstanding work towards the community (Ligue Pulmonaire Neuchâteloise, and PoPs).

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Kopp, W . Development of obesity: the driver and the passenger. Diabetes Metab Syndr Obes. (2020) 13:4631–42. doi: 10.2147/DMSO.S280146

PubMed Abstract | CrossRef Full Text | Google Scholar

2. World Health Organization (WHO) . (1998). Obesity: Preventing and managing the global epidemic: Report of a WHO consultation on obesity, Geneva, 3–5 June 1997. Available at: https://apps.who.int/iris/handle/10665/63854.

Google Scholar

3. Ng, M , Fleming, T , Robinson, M , Thomson, B , Graetz, N , Margono, C, et al. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013: a systematic analysis for the global burden of disease study 2013. Lancet (London, England). (2014) 384:766–81. doi: 10.1016/S0140-6736(14)60460-8

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Avila, C , Holloway, AC , Hahn, MK , Morrison, KM , Restivo, M , Anglin, R, et al. An overview of links between obesity and mental health. Curr Obes Rep. (2015) 4:303–10. doi: 10.1007/s13679-015-0164-9

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Apovian, CM . Obesity: definition, comorbidities, causes, and burden. Am J Manag Care. (2016) 22:s176–85.

PubMed Abstract | Google Scholar

6. Latner, JD In: TF Cash , editor. Body weight and body image in adults, encyclopedia of body image and human appearance, vol. 1. London: Academic Press (2012). 264–9.

Google Scholar

7. Amigo, I , and Fernández, C . Effects of diets and their role in weight control. Psychol Health Med. (2007) 12:321–7. doi: 10.1080/13548500600621545

CrossRef Full Text | Google Scholar

8. Anton, SD , Hida, A , Heekin, K , Sowalsky, K , Karabetian, C , Mutchie, H, et al. Effects of popular diets without specific calorie targets on weight loss outcomes: systematic review of findings from clinical trials. Nutrients. (2017) 9:822. doi: 10.3390/nu9080822

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Johansson, K , Neovius, M , and Hemmingsson, E . Effects of anti-obesity drugs, diet, and exercise on weight-loss maintenance after a very-low-calorie diet or low-calorie diet: a systematic review and meta-analysis of randomized controlled trials. Am J Clin Nutr. (2014) 99:14–23. doi: 10.3945/ajcn.113.070052

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Berkcan, S , Correia, JC , and Pataky, Z . Comment prendre en charge l’obésité au cabinet d’un médecin généraliste? [How to manage obesity in the general practitioner's office?]. Rev Med Suisse. (2022) 18:508–11. doi: 10.53738/REVMED.2022.18.774

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Swinburn, BA , Sacks, G , Hall, KD , McPherson, K , Finegood, DT , Moodie, ML, et al. The global obesity pandemic: shaped by global drivers and local environments. Lancet (London, England). (2011) 378:804–14. doi: 10.1016/S0140-6736(11)60813-1

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Grundy, SM . Multifactorial causation of obesity: implications for prevention. Am J Clin Nutr. (1998) 67:563S–72S. doi: 10.1093/ajcn/67.3.563S

CrossRef Full Text | Google Scholar

13. Bennett, GG , and Glasgow, RE . The delivery of public health interventions via the internet: actualizing their potential. Annu Rev Public Health. (2009) 30:273–92. doi: 10.1146/annurev.publhealth.031308.100235

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Anderson-Bill, ES , Winett, RA , Wojcik, JR , and Winett, SG . Web-based guide to health: relationship of theoretical variables to change in physical activity, nutrition and weight at 16-months. J Med Internet Res. (2011) 13:e27. doi: 10.2196/jmir.1614

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Neve, M , Morgan, PJ , Jones, PR , and Collins, CE . Effectiveness of web-based interventions in achieving weight loss and weight loss maintenance in overweight and obese adults: a systematic review with meta-analysis. Obes Rev. (2010) 11:306–21. doi: 10.1111/j.1467-789X.2009.00646.x

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Jane, M , Hagger, M , Foster, J , Ho, S , Kane, R , and Pal, S . Effects of a weight management program delivered by social media on weight and metabolic syndrome risk factors in overweight and obese adults: a randomised controlled trial. PLoS One. (2017) 12:e0178326. doi: 10.1371/journal.pone.0178326

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Balk-Møller, NC , Poulsen, SK , and Larsen, TM . Effect of a nine-month web- and app-based workplace intervention to promote healthy lifestyle and weight loss for employees in the social welfare and health care sector: a randomized controlled trial. J Med Internet Res. (2017) 19:e108. doi: 10.2196/jmir.6196

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Godino, JG , Merchant, G , Norman, GJ , Donohue, MC , Marshall, SJ , Fowler, JH, et al. Using social and mobile tools for weight loss in overweight and obese young adults (project SMART): a 2 year, parallel-group, randomised, controlled trial. Lancet Diabetes Endocrinol. (2016) 4:747–55. doi: 10.1016/S2213-8587(16)30105-X

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Hales, S , Turner-McGrievy, GM , Wilcox, S , Fahim, A , Davis, RE , Huhns, M, et al. Social networks for improving healthy weight loss behaviors for overweight and obese adults: a randomized clinical trial of the social pounds off digitally (social POD) mobile app. Int J Med Inform. (2016) 94:81–90. doi: 10.1016/j.ijmedinf.2016.07.003

PubMed Abstract | CrossRef Full Text | Google Scholar

20. WHOQOL . (2000). The World Health Organization Quality of Life (WHOQOL) Study. Available at: (https://www.who.int/tools/whoqol).

Google Scholar

21. de Vries, CEE , Kalff, MC , Prinsen, CAC , Coulman, KD , den Haan, C , Welbourn, R, et al. Recommendations on the most suitable quality-of-life measurement instruments for bariatric and body contouring surgery: a systematic review. Obes Rev. (2018) 19:1395–411. doi: 10.1111/obr.12710

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Organisation for Economic Co-operation and Development . Strengthening the international comparison of health system performance through patient-reported indicators. Recommendations to OECD ministers of health from the high level reflection group on the future of health statistics. Paris: OECD (2017).

Google Scholar

23. Lindekilde, N , Gladstone, BP , Lübeck, M , Nielsen, J , Clausen, L , Vach, W, et al. The impact of bariatric surgery on quality of life: a systematic review and meta-analysis. Obes Rev. (2015) 16:639–51. doi: 10.1111/obr.12294

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Available at: https://www.neuchatel-surpoids.ch/ (Accessed February 2, 2023).

Google Scholar

25. Available at: https://lpne.ch/ (Accessed February 2, 2023).

Google Scholar

26. Available at: https://www.pops-obesity.ch/ (Accessed February 2, 2023).

Google Scholar

28. Cash, T. F. , ed. (2012). Cognitive-behavioral perspectives on body image. Encyclopedia of body image and human appearance, vol. 1 (London: Academic Press), 334–342.

Google Scholar

29. Poulsen, L , McEvenue, G , Klassen, A , Hoogbergen, M , Sorensen, JA , and Pusic, A . Patient-reported outcome measures: BODY-Q. Clin Plast Surg. (2019) 46:15–24. doi: 10.1016/j.cps.2018.08.003

CrossRef Full Text | Google Scholar

30. Calcagno, V , and de Mazancourt, C . Glmulti: an R package for easy automated model selection with (generalized) linear models. J Stat Softw. (2010) 34:1–29. doi: 10.18637/jss.v034.i12

CrossRef Full Text | Google Scholar

31. Neath, AA , and Cavanaugh, JE . The Bayesian information criterion: background, derivation, and applications. WIREs Comp Stat. (2012) 4:199–203. doi: 10.1002/wics.199

CrossRef Full Text | Google Scholar

32. Krishnamohan, S , Stalin, P , Singh, Z , and Sridhar, M . Efficacy of health education using Facebook to promote healthy lifestyle among medical students in Puducherry, India: a non-randomized controlled trial. J Clin Diagn Res. (2017) 11:LC07–LC10. doi: 10.7860/JCDR/2017/27385.10259

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Ruotsalainen, H , Kyngäs, H , Tammelin, T , Heikkinen, H , and Kääriäinen, M . Effectiveness of Facebook-delivered lifestyle counselling and physical activity self-monitoring on physical activity and body mass index in overweight and obese adolescents: a randomized controlled trial. Nurs Res Pract. (2015) 2015:159205:1–14. doi: 10.1155/2015/159205

PubMed Abstract | CrossRef Full Text | Google Scholar

34. The Global State of Digital . (2019) Report the full report below, plus breakdowns by countries all at your fingertips. Available at: https://hootsuite.com/pages/digital-in-2019#accordion-115547 (Accessed: August 5, 2019).

Google Scholar

35. Belle, SH , Berk, PD , Chapman, WH , Christian, NJ , Courcoulas, AP , Dakin, GF, et al. Baseline characteristics of participants in the longitudinal assessment of bariatric Surgery-2 (LABS-2) study. Surg Obes Relat Dis. (2013) 9:926–35. doi: 10.1016/j.soard.2013.01.023

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Nuttall, FQ . Body mass index: obesity, BMI, and health: a critical review. Nutr Today. (2015) 50:117–28. doi: 10.1097/NT.0000000000000092

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Bidstrup, H , Brennan, L , Kaufmann, L , and de la Piedad Garcia, X . Internalised weight stigma as a mediator of the relationship between experienced/perceived weight stigma and biopsychosocial outcomes: a systematic review. Int J Obes. (2022) 46:1–9. doi: 10.1038/s41366-021-00982-4

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Rudolf, A. M. (2020), Health-related behavior changes through social media networking sites: a systematic review and meta-analysis (Doctoral thesis). Geneva University, Geneva. Available at: http://archive-ouverte.unige.ch/unige:137275

Google Scholar

39. Richard, V , Stähli, C , Giudicelli, G , Worreth, MD , Krähenbühl, N , Greiner, E, et al. Does the socio-demographic profile of patients limit access to bariatric surgery? Eat Weight Disord. (2022) 27:1457–66. doi: 10.1007/s40519-021-01285-3

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Folope, V . Grossophobie dans le monde soignant, une réalité à combattre [Grossophobia in the care sector, a reality to be fought]. Soins. (2021) 66:22–4. doi: 10.1016/j.soin.2021.07.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: obesity, overweight, PROM, social media, lifestyle, internet, quality of life (QoL)

Citation: Saadi A, Fellrath J-M, Bec-Moussally J, Papastathi-Boureau C, Blanc C, Courtine V, Vanini L, Marechal M, Authier F, Curty B, Fournier P, Diana M and Saillant S (2023) Using patient-reported outcome measures to assess the effectiveness of social media networking programs for people living with overweight and obesity to adopt a healthier lifestyle. Front. Public Health 11:1161851. doi: 10.3389/fpubh.2023.1161851

Received: 08 February 2023; Accepted: 16 May 2023;
Published: 12 June 2023.

Edited by:

Md. Rakibul Islam, Daffodil International University, Bangladesh

Reviewed by:

Han Shi Jocelyn Chew, National University of Singapore, Singapore
Jagmeet Madan, SNDT Women’s University, India

Copyright © 2023 Saadi, Fellrath, Bec-Moussally, Papastathi-Boureau, Blanc, Courtine, Vanini, Marechal, Authier, Curty, Fournier, Diana and Saillant. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Alend Saadi, alend.saadi@rhne.ch

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.