[Recommendations for Physical Activity and Sedentary Behaviour for Children and Adolescents: Methods, Database and Rationale]

[Opportunities in Differentiated School Sports Exemption - Results of An Online-Survey and Review of the Literature]

BACKGROUND

Physical education and sports participation in school play a major role in overall activity of children and adolescents. A differentiated school sports exemption (DSE) allows sports participation adapted to the individual's ability.

METHOD

Online-survey among physicians (2019) and physical education (PE) teachers (in two waves, 2017 and 2019), on their opinion towards the concept of DSE with respect to professional and demographic parameters. Answers were scaled on a 6-point Likert scale. Means and 95% confidence intervals (95%-CI) were calculated.

RESULTS

Complete questionnaires of 97 physicians and 280 teachers were included. A mean of 10,3% (95%-CI: 9,5-11,1%) of students, did not participate in PE class. In most cases, students were excused directly by their parents without consulting a physician. Most frequent reasons for exemption were missing sports gear (62%), common colds (54%), or acute injuries (50%). Chronic disease or disability was rare (8%). Most teachers did not feel well prepared to deal with children with chronic diseases or disabilities in PE class. Many physicians (24%) had never considered DSE. However, the concept was well accepted among both physicians and teachers. It was considered more practicable than exemption from being marked.

DISCUSSION

According to participants, DSE is expedient and feasible. As a secondary option, students with chronic disease or disability may be exempted from being marked in PE class by their physician.

CONCLUSION

The concept of DSE was widely accepted, but rarely used. It can be applied in various scenarios. In order to improve sports participation, a national standardized procedure should to be implemented.

The associations between specific-type sedentary behaviors and cognitive flexibility in adolescents

Background: The prevalence of sedentary behavior in adolescents has aroused social attention. The association between sedentary behavior and cognitive flexibility remains unclear, and it may vary depending on the type of sedentary behavior. This study aimed to investigate the associations between specific-type sedentary behaviors and cognitive flexibility in adolescents.

Method: A total of 700 Chinese adolescents aged 10–15 years were recruited. The self-report questionnaire was used to assess total sedentary time, recreational screen-based sedentary time, and educational sedentary time. The More-odd shifting task was used to assess cognitive flexibility.

Results: The correlation analysis showed that recreational screen-based sedentary time was negatively correlated with cognitive flexibility, whereas educational sedentary time was positively correlated with cognitive flexibility. The regression analysis also further revealed that a significantly negative association between recreational screen-based sedentary time and cognitive flexibility, while a significantly positive association existed between educational sedentary time and cognitive flexibility.

Conclusion: The findings shown that the association between recreational screen-based sedentary behavior and cognitive flexibility differs from educational sedentary behavior in adolescents, providing new ideas for a more comprehensive understanding of the association between sedentary behavior and cognitive flexibility in adolescents.

Is the Level of Motor Development at School Entry Related to the Use of Municipal Exercise Programs? A Social-Differential Analysis

Children’s motor development is socially unevenly distributed despite many municipal exercise programs (EXP). It has not been sufficiently investigated whether and how they appeal to children from different social backgrounds. This study investigates the use of municipal EXP in preschool age and the association between participation and motor development considering social circumstances. In school entry health examinations, parents were asked about participating in various EXP (response = 65.5%; n = 6480). Motor development, i.e., body coordination and visual-motor coordination, were assessed by a social pediatric development screening, and social circumstances by migration background (MB) and parental education (PE). Poisson regression estimated adjusted Incidence Rate Ratios (IRR; 95% confidence interval, 95%—CI) for relationships between social circumstances and participation in programs and participation and body coordination/visual-motor coordination. Children with MB (IRR 0.73; 95%—CI 0.71–0.75) and low PE (IRR 0.45; 95%—CI 0.40–0.50) used EXP less often. Children participating less often have a finding in body- (IRR 0.76; 95%-CI 0.63–0.90) and visual-motor coordination (IRR 0.47; 95%—CI 0.35–0.62). Significant effects were found for children with and without MB and higher PE. Municipalities should make EXP more attractive for families with MB and low PE.

A lifestyle score in childhood and adolescence was positively associated with subsequently measured fluid intelligence in the DONALD cohort study

PURPOSE

Lifestyle scores which combine single factors such as diet, activity, or sleep duration showed associations with cognitive decline in adults. However, the role of a favourable lifestyle in younger age and the build-up of cognitive reserve is less clear, which is why we investigated longitudinal associations between a lifestyle score in childhood and adolescence and fluid intelligence obtained on average 6 years later.

METHODS

In the DONALD cohort, a lifestyle score of 0 to 4 points including healthy diet and duration of moderate-to-vigorous physical activity, sedentary behaviour and sleep was repeatedly assessed in participants aged 5 and 19 years. Data on fluid intelligence were assessed via a German version of the culture fair intelligence test (CFT), using CFT 1-R in children 8.5 years of age or younger (n = 62) or CFT 20-R in participants older than 8.5 years (n = 192). Multivariable linear regression models were used to investigate prospective associations between the lifestyle score and the fluid intelligence score.

RESULTS

Mean lifestyle score of all participants was 2.2 (0.7-4) points. A one-point increase in the lifestyle score was associated with a higher fluid intelligence score (4.8 points [0.3-7.3], p = 0.0343) for participants completing the CFT 20-R. Furthermore, each additional hour of sedentary behaviour was associated with a lower fluid intelligence score (- 3.0 points [- 5.7 to - 0.3], p = 0.0313). For younger participants (CFT 1-R), no association was found in any analysis (p > 0.05).

CONCLUSION

A healthy lifestyle was positively associated with fluid intelligence, whereby sedentary behaviour itself seemed to play a prominent role.

A lifestyle pattern during adolescence is associated with cardiovascular risk markers in young adults: results from the DONALD cohort study

Lifestyle score approaches combining individual lifestyle factors, e.g. favourable diet, physical activity or normal body weight, showed inverse associations with cardiovascular disease (CVD) risk. However, research mainly focussed on adult behaviour and is scarce for vulnerable time windows for adult health like adolescence. We investigated associations between an adolescent lifestyle score and CVD risk markers in young adulthood. Overall, we analysed 270 participants of the open DONALD cohort study with 1–6 complete measurements of five lifestyle factors (healthy diet, moderate-to-vigorous physical activity, sedentary behaviour, sleep duration and BMI standard deviation score) during adolescence (females: 8⋅5–15⋅5 years and males: 9⋅5–16⋅5 years). Multivariable linear regression models were used to investigate the prospective association between the adolescent lifestyle score (0–5 points) and CVD risk markers in young adulthood (18–30 years). On average, participants obtained a mean adolescent lifestyle score of 2⋅9 (0–5) points. Inverse associations between the adolescent lifestyle score and waist circumference, waist-to-height ratio and percentage of body fat were observed (4⋅1, 4⋅1 and 9⋅2 % decrease per 1 point increase in adolescent lifestyle score, respectively, P < 0⋅05). For the remaining CVD risk markers (glucose, blood lipids, blood pressure and a proinflammatory score), no associations were observed. A healthy adolescent lifestyle is particularly associated with CVD risk-related favourable anthropometric markers in adulthood. A more comprehensive understanding of lifestyle patterns in the life course might enable earlier, targeted preventive measures to assist vulnerable groups in prevention of chronic diseases.

Bewegungsförderung während der kinderonkologischen Akuttherapie

Hintergrund

Obwohl Studien zeigen, dass Bewegungsinterventionen während der stationären kinderonkologischen Akuttherapie sicher durchführbar sind und positive Effekte haben, fehlt es an einer flächendeckenden sporttherapeutischen Versorgung.

Ziel der Arbeit

Die vorliegende Publikation analysiert Daten zur Teilnahme, zu Hindernissen und zur Gestaltung eines stationären Sportprogramms mit den Zielen, Hinweise für die Etablierung weiterer Sportangebote zu generieren und die Bewegungsförderung während der pädiatrisch-onkologischen Akuttherapie zu verbessern.

Material und Methoden

Die Daten wurden zwischen September 2015 und August 2019 im Rahmen eines stationären Sportprogramms für onkologisch erkrankte Kinder und Jugendliche im Alter zwischen 2 und 22 Jahren erhoben.

Ergebnisse

In das Sportprogramm wurden 63 Kinder und Jugendliche für durchschnittlich 26 Wochen eingebunden. Die Teilnehmer*innen absolvierten 14,83 ± 12,25 von 28,17 ± 20,05 angebotenen Einheiten (Teilnahmequote: 56 %). Medizinische Gründe waren die häufigste Ursache, weshalb eine Trainingseinheit nicht wahrgenommen wurde. Nur 10 % der Einheiten wurden aus mangelnder Motivation abgelehnt. Die Dauer der Trainingseinheiten betrug ca. 25 min. Die Intensität lag im leichten bis moderaten Bereich.

Diskussion

Die Ergebnisse belegen das Interesse der Betroffenen an einem stationären Bewegungsangebot. Die Vielfalt der Trainingsinhalte unterstreicht die Bedeutung einer individuellen Adaptation der Sporttherapie. Gleichzeitig wird die Notwendigkeit eines „Minimalprogramms“ mit sehr leichten Intensitäten hervorgehoben. Optimierungsmöglichkeiten bestehen u. a. in einer höheren zeitlichen Flexibilität des Angebotes sowie der Ergänzung um ein selbstständiges Training mithilfe eines Bewegungsplanes.

[Primordial prevention in childhood to avoid chronic diseases]

Primordial prevention targets the healthy population. It aims at supporting people in developing and maintaining a healthy lifestyle to minimize the development of risk factors for noncommunicable diseases. Childhood offers special starting points and opportunities for this. Essentially for this is the creation of health-promoting conditions. This requires the participation of medical and non-medical professionals. Community organizing can significantly foster this process of interdisciplinary and setting-related work. Primordial prevention in childhood cannot be achieved without the active participation of pediatricians.

Adjusting selection bias in German health insurance records for regional prevalence estimation

BACKGROUND

Regional prevalence estimation requires epidemiologic data with substantial local detail. National health surveys may lack in sufficient local observations due to limited resources. Therefore, corresponding prevalence estimates may not capture regional morbidity patterns with the necessary accuracy. Health insurance records represent alternative data sources for this purpose. Fund-specific member populations have more local observations than surveys, which benefits regional prevalence estimation. However, due to national insurance market regulations, insurance membership can be informative for morbidity. Regional fund-specific prevalence proportions are selective in the sense that the morbidity structure of a fund's member population cannot be extrapolated to the national population. This implies a selection bias that marks a major obstacle for statistical inference. We provide a methodology to adjust fund-specific selectivity and perform regional prevalence estimation from health insurance records. The methodology is applied to estimate regional cohort-referenced diabetes mellitus type 2 prevalence in Germany.

METHODS

Records of the German Public Health Insurance Company from 2014 and Diagnosis-Related Group Statistics data are combined within a benchmarked multi-level model. The fund-specific selectivity is adjusted in a two-step procedure. Firstly, the conditional expectation of the insurance company's regional prevalence given related inpatient diagnosis frequencies of its members is quantified. Secondly, the regional prevalence is estimated by extrapolating the conditional expectation using corresponding inpatient diagnosis frequencies of the Diagnosis-Related Group Statistics as benchmarks. Model assumptions are validated via Monte Carlo simulation. Variable selection is performed via multivariate methods. The optimal model fit is determined by analysis of variance. 95% confidence intervals for the estimates are constructed via semiparametric bootstrapping.

RESULTS

The national diabetes mellitus type 2 prevalence is estimated at 8.70% with a 95% confidence interval of [8.48%, 9.35%]. This indicates an adjustment of the original fund-specific prevalence from - 32.79 to - 25.93%. The estimated disease distribution shows significant morbidity differences between regions, especially between eastern and western Germany. However, the cohort-referenced estimates suggest that these differences can be partially explained by regional demography.

CONCLUSIONS

The proposed methodology allows regional prevalence estimation in remarkable detail despite fund-specific selectivity. This enhances and encourages the use of health insurance records for future epidemiologic studies.

Can Off-Training Physical Behaviors Influence Recovery in Athletes? A Scoping Review

Recently, the attention on recovery in sport increased enormously although there is lack of scientific evidence on the role of lifestyle in terms of movement [i.e., physical behaviors (PBs)], apart from sleep. Few studies assessed physical activity (PA) and sedentary behavior (SB) in athletes. The aims of this scoping review were to answer to the following scientific questions: (1) How active/inactive are competitive athletes out of training? (2) Do off-training PBs affect recovery, performance, and health? (3) What strategies can be implemented to improve recovery using off-training PBs, apart from sleep? From 1,116 potentially relevant articles, nine were eligible for inclusion in this review. The main issues identified were related to the heterogeneity concerning the types of sports, age category, gender, competitive level, sample size, and instruments/devices adopted, the paucity of studies investigating the effects of PBs while awake on recovery, and the lack of experimental designs manipulating PBs while awake to accelerate recovery. Furthermore, PA and SB domains were rarely investigated, while no research articles focused on the combined effect of 24-h PBs. Eight out of nine studies measured PA, seven SB, and two included sleep. Three studies included training practice into PA measurement by the means of accelerometry. Overall, almost the totality of the athletes achieved recommended PA levels although they sustained prolonged SB. In conclusion, more descriptive researches are needed in different athletic populations and settings. Furthermore, experimental designs aimed at investigating the effects of PBs manipulation on recovery and the putative mechanisms are encouraged.