BMI Z-Score (SDS) versus Calculated Body Fat Percentage: Association with Cardiometabolic Risk Factors in Obese Children and Adolescents.

INTRODUCTION: BMI or BMI-standardized deviation score (SDS) in children and adolescents is still the standard for weight classification. [BMJ. 2019;366:4293] developed a formula to calculate body fat percentage (%BF) based on age, sex, height, weight, and ethnicity. Using data from the German/Austrian APV registry, we investigated whether the calculated %BF is superior to BMI-SDS in predicting arterial hypertension, dyslipidaemia, and impaired glucose metabolism. METHODS: 94,586 children and adolescents were included (12.5 years, 48.3% male). Parental birth country (BC) was used to depict ethnicity (15.8% migration background); 95.67% were assigned to the ethnicity "white." %BF was calculated based on the Hudda formula. The relationship between BMI-SDS or %BF quartiles and outcome variables was investigated by logistic regression models, adjusted for age, sex, and migration background. Vuong test was applied to analyse predictive power. RESULTS: 58.4% had arterial hypertension, 33.5% had dyslipidaemia, and 11.6% had impaired glucose metabolism. Boys were significantly more often affected, although girls had higher calculated %BF (each p < 0.05). After adjustment, both models revealed significant differences between the quartiles (all p < 0.001). The predictive power of BMI-SDS was superior to %BF for all three comorbidities (all p < 0.05). DISCUSSION: The prediction of cardiometabolic comorbidities by calculated %BF was not superior to BMI-SDS. This formula developed in a British population may not be suitable for a central European population, which is applicable to this possibly less heterogeneous collective. Additional parameters, especially puberty status, should be taken into account. However, objective determinations such as bioimpedance analysis may possibly be superior to assess fat mass and cardiometabolic risk than calculated %BF.

Psychosocial Mediators of Web-Based Interventions for Promoting a Healthy Lifestyle Among Chinese College Students: Secondary Analysis of a Randomized Controlled Trial.

BACKGROUND: Web-based multiple health behavior change (MHBC) interventions have demonstrated effectiveness in promoting physical activity (PA) and fruit and vegetable consumption (FVC) among Chinese college students. However, there is limited research examining their effects on promoting a healthy lifestyle (ie, adhering to both PA and FVC behavioral recommendations) among Chinese college students. In addition, the salient psychosocial mediators of successful MHBC interventions need to be researched. OBJECTIVE: This study aims to examine the effectiveness of a previous 8-week web-based MHBC program for promoting a healthy lifestyle and enhancing the psychosocial determinants (intention, self-efficacy, planning, and social support) of behavior change among Chinese college students. Furthermore, the study aims to identify whether changes in these psychosocial determinants mediate intervention effectiveness on the immediate and sustained lifestyle changes. METHODS: This was a secondary analysis for a 3-arm randomized controlled trial. Chinese college students (N=552) were randomly assigned to 1 of 3 groups: a PA-first group (4-week PA intervention followed by 4-week FVC intervention), an FVC-first group (4-week FVC intervention followed by 4-week PA intervention), and a placebo control group. The intervention content was designed based on the health action process approach model. Data for analyses were collected at baseline (T0), postintervention assessment (T1), and 12-week follow-up assessment (T2). RESULTS: At baseline, 13.9% (77/552) of the participants maintained a healthy lifestyle. After 8 weeks, more (200/552, 36.2%) participants achieved a healthy lifestyle. PA-first and FVC-first groups were, respectively, 3.24 times and 5 times more likely to adopt a healthy lifestyle than the control group at T1. After 12 weeks, 35.5% (196/552) of the participants adopted a healthy lifestyle. Intervention groups were approximately 2.99 times (PA first) and 4.07 times (FVC first) more likely to adopt a healthy lifestyle than the control group at T2. Intervention effects favored both intervention groups in self-efficacy and planning for PA and in intention and planning for FVC compared with the control condition. In addition, changes in PA self-efficacy and FVC intention mediated intervention effectiveness on the immediate lifestyle change after 8 weeks. Changes in FVC intention were identified as a salient mediator for facilitating sustained lifestyle change after 12 weeks. CONCLUSIONS: This study provides empirical evidence for the effectiveness of an 8-week theory- and web-based MHBC intervention program on promoting a healthy lifestyle, self-efficacy and planning for PA, and intention and planning for FVC among Chinese college students. These research findings add new knowledge to the underlying psychosocial mechanisms of successful MHBC interventions. Overall, this study has considerable implications for future web-based MHBC research and practice in terms of addressing PA self-efficacy and FVC intention and helping students to adopt and maintain a healthy lifestyle independently of whether PA or FVC is addressed first. TRIAL REGISTRATION: ClinicalTrials.gov NCT03627949; https://clinicaltrials.gov/ct2/show/NCT03627949.

[Strategies and effects of digital interventions in overweight and obesity treatments in children and adolescents-a systematic review]. / Strategien und Effekte digitaler Interventionen bei der Übergewichts- und Adipositastherapie von Kindern und Jugendlichen ­ ein systematischer Review.

BACKGROUND: Rising obesity prevalence in childhood and adolescence are characterized by unhealthy lifestyles such as low physical activity due to high media use. Recent studies use the accessibility of this target group through digital media, whereby technologies represent new approaches in the intervention design of weight reduction. However, the question arises as to which digital combinations and methodological program concepts condition effective body mass index (BMI) changes. AIM: To gain insights into effective program design and media use; digital intervention strategies for BMI reduction in overweight and obese children and adolescents will be analyzed and evaluated. METHODS: A systematic review was conducted in the databases MEDLINE via PubMed, Science Direct, and Web of Science to analyze studies from 2016 to 2021 on changes in BMI and BMI z­score of overweight and obese 6­ to 18-year-olds. Methodological study quality was assessed according to the Cochrane Risk of Bias guidelines. RESULTS: From 3974 studies, seven articles describing the use of fitness wristbands, smartphones, and computer-based programs were identified. All media achieved BMI reductions, with smartphone interventions via calls and messages causing the most significant changes. DISCUSSION: Smartphones as providers of digital programs (e.g., apps) offer effective approaches to obesity reduction. Based on the data, the selection and combination of several media as well as the relevance of family involvement and the methodological foundation of the measures are confirmed. Due to the young age of the participants, media interventions must be made accessible to the target group.

Effects of media-assisted therapeutic approaches on physical activity of obese adults: a systematic review.

BACKGROUND: The number of patients with obesity continues to increase in our society. At the same time, digitalization defines our everyday life. Therefore, the question arises whether to use digital media for effective treatments against obesity. Aim of this review is a concise presentation of effects of media-assisted therapeutic approaches. METHODS: A systematic literature research in multiple scientific databases, PubMed, Web of Science and Cochrane Library, was performed for literature published in the last 10 years (cut-off date 12.07.2017). Only randomized controlled trials using digital support for treatment and/or aftercare of obese adults aged between 18 to 70 years were included into the analysis. RESULTS: Overall, 14 trials with data on a total of 4979 participants were included in this review. Generally, there are positive trends for increased moderate to vigorous physical activity by the use of digital media. A simultaneous usage of various digital media, which focus on important aspects of activity behavior, has proven to be effective. A combination of various digital media shows the greatest positive effect and could significantly increase physical activity. However, the biggest potential was found in mixed approaches combining digital devices and personal face-to-face support. CONCLUSIONS: Therapeutic approaches using digital media for supporting obesity treatment did not show superior benefit over traditional personal therapeutic methods. Nevertheless, using both methods together offered the greatest potential for successful obesity therapy. However, there is a backlog of transparency concerning information about the content of treatment. Furthermore, there is a lack of valid data about aftercare and follow-up.

Association of psychosocial and perceived environmental factors with park-based physical activity among elderly in two cities in China and Germany.

BACKGROUND: Urban parks play an important role in promoting physical activity (PA) among adults and especially among older city residents. According to the socioecological approach the association of physical environments and psychosocial factors in the context of park-based PA of elderly have not been systematically examined until now, let alone the relevance of the city (urban area) on a cross-cultural level. This study investigated selected aspects of (1) the association of psychosocial and park environmental factors with park-based physical activity (PBPA) of older people; and (2) the moderating effect of city on the association of these factors with PBPA. METHODS: A face-to-face survey was conducted of a mixed-culture sample from different urban surroundings in Hong Kong (HK) and Leipzig (L). In six parks of each city physically active elderly (> = 60 years; HK: n = 306; L: n = 311) were recruited. Multiple linear regressions were used to analyse the association between psychosocial factors and perceived environmental factors with PBPA and the moderating effect of city. RESULTS: Controlled for demographic variables, all other psychosocial factors were significantly related to PBPA, except social support. In terms of environmental factors, PBPA was positively associated with safety, attractiveness, features and negatively associated with park time distance. Controlled for demographic variables, psychosocial and environmental factors, the moderating effect of city on the associations of park features and park time distance with PBPA was not significant in HK. In contrast, there was a significant positive relationship for park features and a negative relationship for park time distance with PBPA in L. CONCLUSIONS: Psychosocial and perceived environmental factors significantly influence PBPA of older people. City moderates the associations of these factors and independently contributes to park-based PA of the elderly. The different interactions of environmental factors and urban area for PBPA of elderly can support policy makers on the municipal level in choosing adequate strategies for promoting PA of older people in parks.

[The Use of Social Networks and Physical Activity Patterns of Adolescents in Obesity Therapy - A Sociodemographic Stratified Analysis]. / Soziodemografisch stratifizierte Analyse der Nutzung sozialer Netzwerke und des Bewegungsverhaltens von juvenilen Adipositastherapieteilnehmern.

The improvement of existing obesity treatment for children and adolescents requires knowledge about social and personal conditions, individual needs, and life style. From particular importance are information about physical activity and media use, in order to target and adjust content and methods of therapy interventions. In 2013, 510 adolescents aged 11 to 17 years participated in a survey on above named factors. Physical activities were conducted with friends (64%) and in sport clubs (43%). Girls (OR 0.55) and children of unemployed parents (OR 0.28) had reduced chances to participate in sports clubs. Through social media social networks, primarily Facebook, were widely used. The use of the network functions differed among socio-demographic groups. Participants who completed obesity treatments expressed their desire to share their experience with other treatment participants (79%) and with the therapy team (37%). The results indicate the need for individualised treatment approaches.

[Media use and physical activity patterns of adolescent participants in obesity therapy: Analysis of the impact of selected sociodemographic factors]. / Mediennutzungs- und Aktivitätsverhalten jugendlicher Teilnehmer einer Adipositastherapie : Analyse zum Einfluss soziodemographischer Faktoren.

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.

The Role of Sports Club Participation on Stability of Motor Performance and Body Composition: A Longitudinal Study in Primary School Children.

Methods: MP and BC of 295 children (161 girls) with a mean age of 8.42 ± 0.36 years were measured annually with the German Motor Test 6-18. Based on self-reports, children were divided into three groups according to consistent (CON), partial (PAR), and nonparticipation (NO) in SC. NO and PAR were then combined into NO-PAR. The stability of MP and BC was determined using Pearson's correlation coefficient (r). Associations of SC participation, MP, and BC were examined using robust mixed-model ANOVA (mmANOVA) additionally with first grade as covariate (ANCOVA). Results: More girls (39%) than boys (25%) were classified in PAR. The stability of MP (r = .755) and BMI (r = .889) was moderately high. Children in CON (r = .847) showed lower stability in BMI than NO-PAR (r = .923). mmANOVA revealed better overall MP for both sexes in CON except for balance and BMI. Boys in CON showed better performance in flexibility, endurance, and speed than NO-PAR. ANCOVA confirmed unadjusted results for boys. Conclusion: Lower stability of BMI due to CON indicates a greater variance in ranking and thus the chance to adjust weight management in childhood. Girls' MP benefited less from SC participation, which may be due to their more frequent rates in PAR. Therefore, interventions to increase engagement in SC should focus on a stepwise approach from none to partial and finally to long-term participation.

Network Analysis for a Community-Based School- and Family-Based Obesity Prevention Program.

Rising childhood obesity with its detrimental health consequences poses a challenge to the health care system. Community-based, multi-setting interventions with the participatory involvement of relevant stakeholders are emerging as promising. To gain insights into the structural and processual characteristics of stakeholder networks, conducting a network analysis (NA) is advisable. Within the program "Family+-Healthy Living Together in Families and Schools", a network analysis was conducted in two rural model regions and one urban model region. Relevant stakeholders were identified in 2020-2021 through expert interviews and interviewed by telephone to elicit key variables such as frequency of contact and intensity of collaboration. Throughout the NA, characteristics such as density, centrality, and connectedness were analyzed and are presented graphically. Due to the differences in the number of inhabitants and the rural or urban structure of the model regions, the three networks (network#1, network#2, and network#3) included 20, 14, and 12 stakeholders, respectively. All networks had similar densities (network#1, 48%; network#2, 52%; network#3, 42%), whereas the degree centrality of network#1 (0.57) and network#3 (0.58) was one-third higher compared with network#2 (0.39). All three networks differed in the distribution of stakeholders in terms of field of expertise and structural orientation. On average, stakeholders exchanged information quarterly and were connected on an informal level. Based on the results of the NA, it appears to be useful to initialize a community health facilitator to involve relevant stakeholders from the education, sports, and health systems in projects and to strive for the goal of sustainable health promotion, regardless of the rural or urban structure of the region. Participatory involvement of relevant stakeholders can have a positive influence on the effective dissemination of information and networking with other stakeholders.

Health Risks of Sarcopenic Obesity in Overweight Children and Adolescents: Data from the CHILT III Programme (Cologne).

Sarcopenic obesity is increasingly found in youth, but its health consequences remain unclear. Therefore, we studied the prevalence of sarcopenia and its association with cardiometabolic risk factors as well as muscular and cardiorespiratory fitness using data from the German Children's Health InterventionaL Trial (CHILT III) programme. In addition to anthropometric data and blood pressure, muscle and fat mass were determined with bioelectrical impedance analysis. Sarcopenia was classified via muscle-to-fat ratio. A fasting blood sample was taken, muscular fitness was determined using the standing long jump, and cardiorespiratory fitness was determined using bicycle ergometry. Of the 119 obese participants included in the analysis (47.1% female, mean age 12.2 years), 83 (69.7%) had sarcopenia. Affected individuals had higher gamma-glutamyl transferase, higher glutamate pyruvate transaminase, higher high-sensitivity C-reactive protein, higher diastolic blood pressure, and lower muscular and cardiorespiratory fitness (each p < 0.05) compared to participants who were 'only' obese. No differences were found in other parameters. In our study, sarcopenic obesity was associated with various disorders in children and adolescents. However, the clinical value must be tested with larger samples and reference populations to develop a unique definition and appropriate methods in terms of identification but also related preventive or therapeutic approaches.

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.

Associations between the physical environment and park-based physical activity: A systematic review.

BACKGROUND: With an increase in the evidence for the associations between park-based physical activity (PA) and physical environments (especially park and neighborhood environments), researchers face an important challenge in interpreting and summarizing the evidence to develop environmental change interventions. An updated review is needed to better inform policymaking and environmental interventions. The current study aimed to systematically review the research on the associations of park-based PA with park and neighborhood environmental characteristics. METHODS: We targeted English peer-reviewed articles from 5 electronic databases using keywords related to park-based PA, park environments, and neighborhood environments. Of the 4071 identified papers, 25 studies published between 2008 and 2016 met all the eligibility criteria and were included in this review. RESULTS: The characteristics of physical environment that received consistent support included paths/trails, lighting, and incivilities (e.g., broken glasses and litter). Mixed findings were revealed for 6 park environmental factors (unspecified active facilities, playgrounds and skating areas, fitness stations, picnic areas, greenness, and park size) and 2 neighborhood environmental factors (park density and park proximity). CONCLUSION: It can be concluded that paths/trails, lighting, and incivilities are 3 key physical environmental attributes of park-based PA. Given the inconsistent findings on park and neighborhood environmental factors, more robust designs such as prospective investigation are required.

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.