Prävention und Therapie von Übergewicht und Adipositas im Kindes- und Jugendalter aus gesundheitsökonomischer Sicht

Physical Activity and Social Network Use of Adolescents in Overweight and Obesity Treatment

Tackling obesity among adolescents requires the optimization of existing obesity treatment strategies. For this purpose, social and personal circumstances, individual needs and behavior of therapy participants need to be analyzed to tailor aims, content and methods of therapy interventions to the target groups. A total of 432 obesity therapy participants between 11 and 17 years completed a written survey in a national multi-center study conducted in 2015. The data collection on behavior, in terms of physical activity, media use and sociodemographic variables, was based on questionnaires from the KiGGS, HBSC and JIM studies. The results show that participants were found to be physically active together with friends (75.5%), alone (41.4%) and in sports clubs (34.9%). Girls (OR 1.55) were less likely to participate in sports clubs. Social networks, especially YouTube, WhatsApp, Instagram and Facebook, were widely used. However, differences emerged among sociodemographic groups (e.g., boys vs. girls) regarding the use of social network features. A third of participants reported that smartphone apps regularly encouraged them to exercise. The findings imply that obesity therapy approaches need to be adapted and more differentiated according to the specific needs of the target groups.

Media Use and Physical Activity Behaviour of Adolescent Participants in Obesity Therapy: Impact Analysis of Selected Socio-Demographic Factors

BACKGROUND

To address the challenge of juvenile obesity, effective therapeutic concepts focusing on lifestyle changes are necessary. A relevant aspect is the media use, which is associated with nutrition and physical activity patterns and is influenced by socio-demographic factors. To optimise obesity therapy, the use of media depending on these socio-demographic factors needs to be analysed to adjust the aims, content and methods of interventions as well as to harness the potential of media use in obesity therapy. The question considered in this research is: What media and physical activity patterns show 11- to 17-year-old obesity therapy participants in dependence on socio-demographic factors?

METHODS

A national multicentre study was conducted in 2015. A questionnaire was used to survey 432 participants' aged 13.75 ± 1.4 years. Standardised instruments were used to assess the variables: physical activity, media use and socio-demographic factors.

RESULTS

The participants were 1-hour physically active for 3.9 ± 1.9 days/week, 14.1% daily. Televisions, mobile phones and computers were available in all socio-demographic groups and used for 2 h/day. Socio-demographic differences emerged in the duration of media use (h/day). Girls were found to use mobile phones for longer (2.49 vs. 1.90; p < 0.01) and spend less time on game consoles than boys (0.55 vs. 1.65; p < 0.01).

CONCLUSION

Compared to current recommendations, the sample shows reduced physical activity and increased media use, which vary between the groups. Hence, differentiated therapy approaches appear recommendable. Future research needs to evaluate, how media (despite its risks) can facilitate therapy, training and aftercare concepts.

[Media use and physical activity patterns of adolescent participants in obesity therapy: Analysis of the impact of selected sociodemographic factors]

To meet the challenge of obesity, effective therapeutic concepts for adolescents focusing on lifestyle changes are necessary. Particularly relevant are nutrition and physical activity patterns associated with media use, which can be influenced by sociodemographic factors. For the optimization of obesity therapy approaches, it is essential to analyze these sociodemographic factors to adjust the aims, content, and methods of interventions, and to use the potential of media in treatment concepts. Thus, the research question is: what are the media and physical activity patterns of 11- to 17-year-old participants in obesity therapy, depending on sociodemographic factors? The national multicenter study was conducted from 2012 to 2013. A questionnaire was administered to 564 participants aged 13.4 ± 1.6 (mean ± standard deviation) years. Standardized instruments were used to assess the variables physical activity, media use, and sociodemographic factors. Participants were physically active for 1 h on 3.3 ± 1.8 days per week, 8.5 % daily. Televisions, mobile phones, and computers were available in all sociodemographic groups and were used for 2 h per day. Sociodemographic differences can be seen in the extent of media usage (h/day). These differences can be found between girls and boys concerning their usage of mobile phones (2.49 vs. 1.90; p  < 0.001), between 11- to 13- and 14- to 17-year-old children concerning their usage of game consoles (0.55 vs. 1.65; p  = 0.007), and in the correlation analysis of media usage and physical activity. Compared with existing literature, the survey results reveal reduced activity and increased media use, which vary among the groups. Thus, differentiated therapy approaches appear to be reasonable. Future research needs to evaluate to what extent media, despite the risks, can contribute to the methodological support of therapy, training, and aftercare concepts.

Development of BMI values of German children and their healthcare costs

The aim of this study is to assess the association between different patterns of Body Mass Index (BMI) development from birth on and later healthcare utilisation and costs in children aged about 10 years based on two birth cohort studies: the GINIplus study (3287 respondents) and the LISAplus study (1762 respondents). Direct costs were estimated using information on healthcare utilisation given by parents in the 10-year follow-up. To meet this aim, we (i) estimate BMI-standard deviation score (BMIZ) trajectories using latent growth mixture models and (ii) examine the correlation between these trajectories and utilisation of healthcare services and resulting costs at the 10-year follow-up. We identified three BMI-trajectories: a normative BMIZ growth class (BMI development almost as in the WHO growth standards), a rapid BMIZ growth up to age 2 years class (with a higher BMI in the first two years of life as proposed by the WHO growth standards) and a persistent rapid BMIZ growth up to age 5 years class (with a higher BMI in the first five years of life as proposed by the WHO growth standards). Annual total direct medical costs of healthcare use are estimated to be on average €368 per child. These costs are doubled, i.e. on average €722 per child, in the group with the most pronounced growth (persistent rapid BMIZ growth up to age 5 years class).

Combating pediatric obesity in Germany: the role of economic findings in informing policy

As in most countries, overweight and obesity among children and adolescents have dramatically increased in Germany over the last two decades. This serious public-health challenge has stimulated many efforts to curb the pediatric obesity epidemic. In this article, the authors briefly describe these efforts and examine the role of health economics in informing German health policies and evaluating the outcomes of interventions aimed at reducing pediatric obesity. The findings indicate that the tools of health-economic analysis have rarely been used to guide the development of strategies to prevent pediatric obesity and to support decision-making on the use of the scarce resources available for preventive actions. The authors give some reasons why health economics has not been an important policy tool so far and make some recommendations for how this could be changed. Reasons impeding health economics playing a more important role in this area are the existence of many unsolved issues in the methods of health economic evaluation and large gaps in the knowledge base on the effectiveness of interventions. Nevertheless, these methods should be considered to be indispensible tools of health policy development. However, taking into account the broad range of political and societal concerns related to pediatric obesity, decision-making in this area will ultimately rest on a process of deliberate thinking integrating different perspectives among, which health economics will be one.

Economic costs of overweight and obesity

Obesity has substantially increased in recent decades and is now one of the major global health problems. The large obesity-related health burden negatively impacts many relevant health outcomes (e.g. quality of life, disability, mortality) and leads to increased healthcare utilization. This excess service use is the main driver behind high healthcare costs of obese individuals. Findings indicate that costs rise curvilinearly with increasing body mass index, especially among the obese. As more individuals of a country's population become obese, a larger share of total annual national healthcare expenditure is spent on obesity and obesity-related health problems. In addition to escalating healthcare costs, obesity goes along with indirect costs through decreases in workforce productivity. The empirical evidence has shown beyond doubt that obesity negatively impacts individuals, healthcare systems, employers, and the economy as a whole. This article provides a brief overview of selected economic consequences associated with excess-weight.