Variability of Spanish adolescents’ physical activity patterns by seasonality, day of the week and demographic factors

Moderate-Vigorous Physical Activity, Screen Time and Sleep Time Profiles: A Cluster Analysis in Spanish Adolescents

The study had two aims: (1) To classify the adolescents according to their levels of moderate-vigorous physical activity, screen time and sleep time, and (2) to analyze, in a descriptive and correlational manner, the profiles of moderate-vigorous physical activity, screen time and sleep time of each cluster according to the sex and grade of the adolescents. The study design was cross-sectional, with descriptive and correlational analysis. The sample consisted of 663 adolescents in Compulsory Secondary Education from Soria (Spain). The Four by One-Day Physical Activity Questionnaire was used to measure levels of physical activity, screen time and sleep time. The results showed that the young people had an average of 67.99 ± min/day of moderate-vigorous physical activity, 112.56 min/day of screen time and 548.63 min/day of sleep time. Adolescents were classified into three clusters according to their levels of physical activity, screen time and sleep time (F_MANOVA (6,1318) = 314.439; p ≤ 0.001; β = 1; f = 1.177). In conclusion, only 28.21% of the young people accomplished the recommendations for physical activity practice, screen time and sleep time. Moreover, these results vary according to the sex and grade of the adolescents.

The Relationships between Physical Activity, Screen Time and Sleep Time According to the Adolescents' Sex and the Day of the Week

This study had two aims: (1) to identify the levels of physical activity, screen time and sleep time of adolescents according to the sex of the participant and the day of the week; (2) to find out the relationships between physical activity, screen time and sleep time according to the sex of the participant and the day of the week. The study design was non-experimental, descriptive-correlational and cross-sectional. The sample consisted of 694 adolescents in Compulsory Secondary Education from Soria (Spain). Four by One-Day Physical Activity Questionnaires were used to measure levels of physical activity, screen time and sleep time. Levene’s test and Student’s t-test were used to calculate the difference between the means of the variables. Pearson’s test was used to calculate bivariate correlations between variables. Results showed higher levels of screen time in males (136.93 min/day ± 81.548). Screen time, sleep time and moderate−vigorous physical activity are higher during the weekend. Positive relationships were found between screen time and light physical activity (rmales = 0.274; p ≤ 0.01; rfemales = 0.065; p > 0.05). The correlations between moderate−vigorous physical activity and screen time were negative (rmales = −0.282; p ≤ 0.01; rfemales = −0.187; p ≤ 0.05). The relationship between screen time and sleep time was negative in males (r = −0.135; p ≤ 0.05). In conclusion, the levels of physical activity, screen time and sleep time vary according to the sex of the participants and the day of the week.

Physical Activity, Energy Expenditure, Screen Time and Social Support in Spanish Adolescents-Towards an Explanatory Model about Health Risk Factors

Youth obesity has been a pandemic for decades. One of its causes is a low level of physical activity. It is necessary to know the specific situation of adolescents and the factors that influence it in order to be able to act accordingly. The first aim of the current study is to create an explanatory model to establish the relationships between light physical activity time, light physical activity energy expenditure, screen time and social support. The second aim is to propose a theoretical model specifying the relationships between moderate-vigorous physical activity time, moderate-vigorous physical activity energy expenditure, screen time and social support. The study design was non-experimental (ex post facto), descriptive-correlational and cross-sectional. A total of 694 adolescents from the region of Soria (12-17 years) participated in the study. The instruments administered were the Four by One-Day Physical Activity Questionnaire, Parent Support Scale and Peer Support Scale. Two structural equation models were developed to analyse the relationships between the variables that comprised the explanatory models. The results show that social support had a negative influence on screen time in the proposed model in relation to light physical activity (r = -0.210; p ≤ 0.001) and in the proposed one regarding moderate-vigorous physical activity (r = -0.173; p ≤ 0.05). Social support was negatively related to light physical activity time (r = -0.167; p ≤ 0.05). Family support had a greater influence than did peer support. In conclusion, the models for light and moderate-vigorous physical activity are useful to describe the relationships between time, energy expenditure, screen time and social support.

An Explanatory Model of the Relationships between Physical Activity, Social Support and Screen Time among Adolescents

Effective physical activity studies are necessary to understand how factors involved in physical activity mediate behaviour. Therefore, more reliable explanatory models can be generated in order to design effective actions to promote physical activity. The study had two aims: (1) to develop an explanatory model to identify and establish the relationships between physical activity, social support and screen time among adolescents; and (2) to contrast the explanatory structural model by means of a multi-group analysis according to sex. The study design was cross-sectional with descriptive and correlational analysis. The research was carried out with a representative sample of adolescents from the province of Soria (mean age 14.06 ± 1.27 years). The instruments used were: Four by One-Day Physical Activity Questionnaire, Parent Support Scale and Peer Support Scale. The results show that social support had a negative relationship with screen time (r = −0.178; p ≤ 0.001); males had a positive relationship between physical activity and screen time (r = 0.118; p ≤ 0.05); and peer support had more influence on social support than parental support. In conclusion, the proposed model was effective in triangulating the relationships between physical activity, social support and screen time in a novel way, while allowing us to discriminate these results according to participants’ sex.

Factors That Influence Participation in Physical Activity in School-Aged Children and Adolescents: A Systematic Review from the Social Ecological Model Perspective

High prevalence of physical inactivity and obesity in children and adolescents has become a global problem. This systematic review aimed to examine the existing literature regarding the factors that influence participation in physical activity (PA) in children and adolescents with reference to the social ecological model (SEM) proposed by McLeroy et al. (1988). The SEM provides a framework under which the influencing factors are categorized into five levels: intrapersonal, interpersonal, organizational, community, and public policy. A systematic search of relevant literature published before July 2020 was conducted through Ebsco, ProQuest, PubMed Central, Scopus, and Web of Science. A total of fourteen studies met the inclusion criteria. The selected articles were all of high quality as assessed using the Mixed Methods Appraisal Tool (2018). The results indicated that gender, age, ethnicity, and self-concept were the most common influencing factors at the intrapersonal level. At the interpersonal and organization levels, supports from friends, parents, and teachers were positive predictors of students' PA participation. Accessibility of facilities and safe neighborhoods was a crucial factor that influenced children and adolescents' participation in PA at the community level. Future studies on the effective types of policies or practices that could successfully promote facilities' accessibility and improve neighborhood safety are required. The outcomes of this systematic review are expected to inform practice and support the development and implementation of sound policies for the promotion of PA participation in children or adolescents from a comprehensive social ecological viewpoint.

Relationship between Health-Related Quality of Life and Physical Activity in Children with Hyperactivity

The main purpose of this paper was to evaluate the relationship between health-related quality of life (HRQoL) and the frequency of physical activity in Spanish children aged 8 to 14 years with attention deficit hyperactivity disorder (ADHD). Sample selection was performed using the data obtained from the children’s questionnaire of the National Health Survey of Spain 2017 that is carried out with the children’s parents, and that had an initial size of 6106 participants. After the application of the inclusion and exclusion criteria, the sample size was reduced to 496 subjects. Results show significant differences between the different levels of physical activity frequency, as well as a positive correlation of the average between HRQoL and ADHD. In conclusion, the practice of physical activity may contribute to the improvement of HRQoL in children with ADHD, possibly achieving greater benefits at higher levels of physical activity practice.

Active Gaming Prevalence and Correlates by Type of Day in Spanish Youth

BACKGROUND

Active gaming has emerged as a new option to foster physical activity in youth. The aim of this study was to estimate the prevalence of active gaming in adolescents, to determine differences between active and nonactive gamers by type of day, and to examine predictors of being an active gamer.

METHODS

A cross-sectional study was conducted with 3095 Spanish adolescents aged 12 to 18 years who self-reported their involvement in moderate to vigorous physical activity, sedentary behaviors, and active gaming. Those engaging in active gaming for at least 10 minutes per day were considered active gamers. Student's 2-tailed t tests, chi-square test, and binomial logistic regression were performed.

RESULTS

About 25.9% of the adolescents were active gamers. They were younger, had higher body mass index, and spent more time on moderate to vigorous physical activity, television viewing, and sedentary video games with computer/console than nonactive gamers. There were more active gamers on weekends than on weekdays. On weekdays, more males than females were active gamers. Adolescents who did not meet sleep time guidelines were more likely to be active gamers on weekdays, whereas on weekends, being a girl, overweight/obese, and having a high socioeconomic status were predictors of being an active gamer.

CONCLUSION

Because active gaming may contribute to meeting physical activity guidelines, the present findings could enable better targeting of physical activity promotion programs.

After-school leisure time: physical activity and estimated caloric expenditure in schoolchildren from southeast Spain

Introducción. Por lo general, el periodo de ocio extraescolar es empleado por los escolares para realizar actividades físicas; sin embargo, se desconoce el nivel de actividad física de moderada a vigorosa intensidad (AFMV) y de gasto calórico registrados en ese periodo.Objetivo. Analizar los niveles de actividad física y gasto energético estimado durante el periodo de ocio extraescolar.Materiales y métodos. Participaron 408 escolares, con un rango de edad entre 11 y 12 años, siendo 205 niñas (11.21±0.41) y 203 niños (11.20±0.40) del sistema educativo español. Se siguió un diseño de tipo descriptivo relacional y de carácter transversal. Los escolares registraron la actividad física con el instrumento Previous Day Physical Activity Recall y su análisis se hizo a través del promedio de minutos realizando AFMV (>3 MET) y el gasto calórico extraído de los niveles de MET.Resultados. Se encontraron medias superiores para los hombres respecto a las mujeres, tanto en los minutos de AFMV (p<0.05) como en el gasto calórico (p<0.001) registrado.Conclusiones. El promedio de minutos de AFMV estimada por los escolares estudiados cumple con los valores diarios recomendados por la Organización Mundial de la Salud. Se debe prestar especial atención al género femenino y a la entrada a la adolescencia.

Seasonal variation in sports participation

This study explores indicators describing socio-demographics, sports participation characteristics and motives which are associated with variation in sports participation across seasons. Data were drawn from the German Socio-Economic Panel which contains detailed information on the sports behaviour of adults in Germany. Overall, two different measures of seasonal variation are developed and used as dependent variables in our regression models. The first variable measures the coefficient of (seasonal) variation in sport-related energy expenditure per week. The second variable measures whether activity drops below the threshold as defined by the World Health Organization (WHO). Results suggest that the organisational setting, the intensity and number of sports practised, and the motive for participation are strongly correlated with the variation measures used. For example, both, participation in a sports club and a commercial facility, are associated with reduced seasonal variation and a significantly higher probability of participating at a volume above the WHO threshold across all seasons. These findings give some impetus for policymaking and the planning of sports programmes as well as future research directions.

Validation of the self-report EXERNET questionnaire for measuring physical activity and sedentary behavior in elderly

This study aims to examine the validity and reliability of the Elderly EXERNET Physical Activity Questionnaire (EEPAQ) in a sample of Spanish elderly population. A sample of 73 elderly successfully completed the EEPAQ and wore an accelerometer over 7 consecutive days. Test-retest reliability of the EEPAQ was assessed by having the participants answer the EEPAQ twice within 14 days. Criterion validity was assessed for the questionnaire against the accelerometer, as the gold standard. Results indicated that EEPAQ had adequate reliability measured by Intraclass correlation coefficient (ICC) (walking ICC=0.88; sitting ICC=0.68; household activities ICC=0.97), and good validity against the accelerometer. Walking had a significant (p<0.05) correlation with countsmin^-1 (r=0.56) and moderate to vigorous physical activity (MVPA) (r=0.51), as well as a negative significant (p<0.01) correlation with sedentary minutes (r=-0.33). Sitting time was positively correlated (r=0.57; p<0.01) with sedentary time and negatively correlated with the countsmin^-1 and MVPA. EEPAQ seems to be a valid and reliable tool to measure physical activity (PA) in a population of elderly living in Spain.

Using Theory of Planned Behavior to Predict the Physical Activity of Children: Probing Gender Differences

Objectives. The primary objective of this study was to use the theory of planned behavior (TPB) to examine the association between TPB variables and the moderate-to-vigorous physical activity (MVPA) of children in Shanghai, China. Gender differences were also explored. Methods. The participants were 353 children (180 boys and 173 girls) aged 9 to 13 years from three primary schools in Shanghai. Accelerometers were used to measure the MVPA duration of the children. Questionnaires that focused on attitude, subjective norms, and perceived behavioral control (PBC) related to MVPA engagement were completed by the participants. Results. Regression analyses revealed that intention, and not PBC, accounted for 9% of the variance in MVPA. Meanwhile, attitude and PBC explained 33% of the variance in intentions to engage in MVPA. In terms of gender differences, TPB performed better in the physical activity (PA) domain for boys than for girls. Furthermore, attitude and PBC were significantly associated with intention among boys, whereas only PBC was significantly related to intention among girls. Conclusion. Practitioners should consider tailoring intervention to address gender differences to increase leisure-time PA participation of children.

Are total, intensity- and domain-specific physical activity levels associated with life satisfaction among university students?

Background

Thorough information about the relationship between physical activity (PA) and life satisfaction is still lacking. Therefore, this study examined the cross-sectional relationships between life satisfaction and meeting the World Health Organization (WHO) moderate to vigorous-intensity PA recommendations, total volume and duration of PA, intensity-specific PA (walking, moderate- and vigorous-intensity), domain-specific PA (work, transport-related, domestic, and leisure-time), and 11 domain and intensity-specific PA types among university students. Additionally, we examined the associations between life satisfaction and gender, age, disposable income, community size, smoking, alcohol intake, body mass index (BMI), and self-rated health.

Methods

The study included a random sample of 1750 university students in Zagreb, Croatia (response rate = 71.7%; 62.4% females; mean age 21.5 ± 1.8 years), using the International Physical Activity Questionnaire — long form and the Satisfaction with Life Scale.

Results

Higher life satisfaction was associated with female gender (β = 0.13; p = <0.001), younger age (β = -0.07; p = 0.024), higher disposable income (β = 0.10; p = 0.001), and better self-rated health (β = 0.30; p = <0.001). No significant association was found between life satisfaction and size of community (p = 0.567), smoking status (p = 0.056), alcohol consumption (p = 0.058), or BMI (p = 0.508). Among all PA variables, only leisure-time vigorous-intensity PA was significantly associated with life satisfaction after adjustments for socio-demographic characteristics, lifestyle and self-rated general health (β = 0.06; p = 0.045).

Conclusions

This study indicated a weak positive relationship between leisure-time vigorous-intensity PA and life satisfaction, whilst no such association was found for other PA variables. These findings underscore the importance of analyzing domain and intensity-specific PA levels in future studies among university students, as drawing conclusions about the relationship between PA and life satisfaction based on total PA levels only may be misleading.

Seasonal variations in physical fitness among elementary school children

There is empirical evidence that children's physical activity is dependent on climatic conditions. In addition, a correlation between physical activity level and physical fitness has been identified. In this longitudinal study, we investigate whether seasons have an influence on physical fitness. A total of 145 German elementary school children were tested every six months over a two-year period. We used the German Motor Test 6-18 to assess physical fitness. Performance in the 6-min endurance run (P < 0.001), bidirectional jumping (P < 0.001), the standing long jump (P = 0.026), the 20 m sprint (P = 0.006) and the stand-and-reach task (P = 0.017) was significantly better in summer than in winter. There were no differences in the ability to balance backwards (P = 0.120); in the winter, the results for push-ups (P < 0.001) and sit-ups (P < 0.001) were better than those in the summer. We have shown that physical fitness is significantly influenced by the season. Consequently, when children's fitness tests are used (e.g. as the basis for intervention programs, for classifying health-risk groups or for recognising talent), the season in which testing occurred should be reported and accounted for in future studies.

A cross-cultural study of adolescents' physical activity levels in France and Spain

The goals of this study were (1) to describe and compare levels of physical activity (PA), assessed by accelerometry, of adolescents in two close Spanish and French cities according to gender and period of the week and (2) to assess, with reference to country and gender, the extent to which international PA guidelines were fulfilled. The PA of 401 adolescents (53.37% females) from France and Spain (55.72% French) aged 14.45 ± 0.67 years was assessed with GT3X accelerometers for seven consecutive days to evaluate their habitual levels of moderate to vigorous physical activity (MVPA). Data collection took place from September to December 2010 in six public and state schools in France and Spain. There were significant differences in MVPA in terms of country, gender and period of the week. Spanish adolescents were more active than French adolescents, boys were more active than girls and MVPA was higher on weekdays than at weekends. French girls showed the lowest level of PA. Only 35.9% of the whole sample met the guidelines for PA in both countries. Governments of relevant countries, especially France, should adopt PA promotion policies targeted at adolescents in order to enhance their compliance with PA guidelines.

An exploratory analysis of active and low energy behaviour in Australian adolescents

Adolescents engage in a complex range of low energy-consuming and active behaviours not easily captured by single behavioural measures. This study aims to describe the associations among adolescent active and low energy behaviours. Data were obtained from adolescents aged 12–16 years (n = 1532) participating in a nationally representative survey. Thirty-nine variables measuring activities were stratified by sex and age and then analysed using principal components analysis with Varimax rotation. Four components were derived for younger girls (21.7% of the variance) and younger boys (20.2%), six for older girls (29.7%) and five for older boys (25.6%). Academic-related behaviours positively correlated with each other and negatively with television use for all age–sex groups. Computer use correlated positively with academic-related behaviours for older boys but negatively with active behaviours for younger boys and girls. Active behaviours correlated positively with each other. For older girls, low energy expenditure, household-based behaviours were negatively correlated with active behaviours. Computer use appears to differ across age groups, and leisure and academic use should be differentiated. The positive associations among different active behaviours and their negative associations with home-based, low energy expenditure behaviours are of interest for intervention development.

Brief report: Association between socio-demographic factors, screen media usage and physical activity by type of day in Spanish adolescents

This study examined the relationship between socio-demographic factors, screen media time usage, and light, moderate and vigorous activities on weekdays and weekends. Cross-sectional data was collected from 323 Spanish adolescents (mean age 13.59 years) who completed an interview administered recall questionnaire. Structural equation models indicated that male and younger adolescents spent more time on vigorous activities at the weekend, while females and older adolescents showed a greater involvement in light activities both on weekdays and weekends. State school students reported engaging in light and vigorous activities for longer periods than private school students on weekends. TV viewing was negatively linked to vigorous activities during weekdays and to light and moderate activities on weekends. The amount of mobile phone usage, however, was positively linked to light activities during weekdays, but negatively on weekends. The negative relationship between adolescents' use of screen media (TV and mobile phone) and physical activity and its possible displacement, depending on the type of day, added useful comparable knowledge for policies promoting an active lifestyle. Further research is required to provide evidence of the causality in the observed relationships.

A search for quantitative trait loci controlling within-individual variation of physical activity traits in mice

BACKGROUND

In recent years it has become increasingly apparent that physical inactivity can predispose individuals to a host of health problems. While many studies have analyzed the effect of various environmental factors on activity, we know much less about the genetic control of physical activity. Some studies in mice have discovered quantitative trait loci (QTL) influencing various physical activity traits, but mostly have analyzed inter-individual variation rather than variation in activity within individuals over time. We conducted a genome scan to identify QTLs controlling the distance, duration, and time run by mice over seven consecutive three-day intervals in an F2 population created by crossing two inbred strains (C57L/J and C3H/HeJ) that differed widely (average of nearly 300%) in their activity levels. Our objectives were (a) to see if we would find QTLs not originally discovered in a previous investigation that assessed these traits over the entire 21-day period and (b) to see if some of these QTLs discovered might affect the activity traits only in the early or in the late time intervals.

RESULTS

This analysis uncovered 39 different QTLs, over half of which were new. Some QTLs affected the activity traits only in the early time intervals and typically exhibited significant dominance effects whereas others affected activity only in the later age intervals and exhibited less dominance. We also analyzed the regression slopes of the activity traits over the intervals, and found several QTLs affecting these traits that generally mapped to unique genomic locations.

CONCLUSIONS

It was concluded that the genetic architecture of physical activity in mice is much more complicated than has previously been recognized, and may change considerably depending on the age at which various activity measures are assessed.

A comparison of two motion sensors for the assessment of free-living physical activity of adolescents

This study assessed and compared the daily step counts recorded by two different motion sensors in order to estimate the free-living physical activity of 135 adolescent girls. Each girl concurrently wore a Yamax pedometer and an ActiGraph accelerometer (criterion measure) every day for seven consecutive days. The convergent validity of the pedometer can be considered intermediate when used to measure the step counts in free-living physical activity; but should be considered with caution when used to classify participants’ step counts into corresponding physical activity categories because of a likelihood of ‘erroneous’ classification in comparison with the accelerometer.

Role of individual and school factors in physical activity patterns of secondary-level Spanish students

BACKGROUND

While the importance of individual and school factors as correlates of overall youth physical activity has been demonstrated by previous research, less is known about the relationship of these factors with specific patterns of physical activity during adolescence. Thus, the purpose of this study was to examine the association of selected individual and school factors with patterns of physical activity based on a sum index of physical activity in a population-based sample of Spanish adolescents.

METHODS

One thousand and eighty-four students aged 12 to 17 years completed a self-report survey once during school hours. In addition to participation in physical activity outside of school hours, the following variables were included in the analysis: gender, age, weight status, physical self-perceptions, evaluation of the school physical education experience, and type of school (public vs private). Multinomial logistic regression was used to model the associations among the variables and to calculate odd ratios (ORs) and 95% confidence intervals (CIs) for each pattern of physical activity.

RESULTS

The physical self-perceptions variable was the most consistent individual correlate of physical activity across participation patterns (ORs ranging from 4.29 to 1.88, CIs ranging from 2.16-8.54 to 1.10-3.21). Regarding the school variables included in this study, both were linked with participation in physical activity, but evaluation of the physical education experience showed the most consistent associations across activity patterns (ORs 2.49-2.17, CIs 1.49-4.15 to 1.25-3.74).

CONCLUSION

Physical education programs may benefit adolescents with different physical activity participation preferences regardless of important individual characteristics and broader school factors.