Social background, bullying, and physical inactivity: National study of 11‐ to 15‐year‐olds

Henriksen, Peter; Rayce, Signe Boe; Melkevik, Ole; Due, Pernille

doi:10.1111/sms.12574

Cited by 34 publications

(39 citation statements)

References 36 publications

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“…Parents may determine adolescents' exposure to a number of factors that are enablers or barriers to PA, such as motivation to engage in PA and that may explain our findings in line with previous research (Gustafson & Rhodes, 2006;Lawman & Wilson, 2012). Several mechanisms are underpinning parental impact on PI such as direct modelling of PA, establishing or eliminating barriers to PA or sports, and positively reinforcing adolescents for participation in sports (Henriksen et al, 2015). According to our findings, we also posit the socioeconomic-environmental factors as determinants of PI in youth people from families with lower affluence, rather than support the statement that PA is a determinant of health and illness per se, as previously have been posited (Colley et al, 2011).…”

Section: Discussionsupporting

confidence: 83%

“…Both questionnaires measure the same construct, i.e. time spent being moderate-to vigorously active outside school (minutes), which allowed us compare MVPA and VPA and the dimensions of PA between the groups, in line with prior research (World Health Organization, 2010;Muthuri et al, 2014;Chinapaw, Mokkink, van Poppel, van Mechelen & Terwee, 2010;Katzmarzyk et al, 2013;Henriksen et al, 2015). Additionally, the other measures of sedentary behaviours and additional measures of PA consistently confirmed that Colombians were less commonly active compared to Danish, independently of the cut-off used to define being physically active.…”

Section: Discussionmentioning

confidence: 98%

“…between Black and White adolescents (Babey, Wolstein, & Diamand, 2015) or between adolescents from urban and rural areas (Moore, Jilcott, Shores, Evenson, Brownson, & Patterson, 2010). In Denmark, more children with lower social backgrounds are physically inactive than those eith higher ones (Henriksen, Rayce, Melkevik, Due, & Holstein, 2015).…”

Section: Introductionmentioning

confidence: 99%

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Physical Inactivity among Danish and Colombian Adolescents with Lower Level of Family Affluence

Olaya‐Contreras¹,

Stock²

2016

GJHS

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Background & Objectives: This study aimed to assess levels of physical activity (PA) and sedentary behaviours among Danish and Colombian adolescents, and to compare relevant environmental and psychosocial factors associated with physical inactivity (PI) between both student groups. Further, we aimed to compare PI between Danish students born in Denmark and those with immigrant background living in Denmark, but born in another country. Methods:The comparative study was performed with 1.374 Danish adolescents (among them 152 born outside the country) who participated in the Danish Youth Cohort and 452 Colombian students who completed the ISCOLE questionnaire, both from the most disadvantaged socioeconomic strata. Results:The prevalence of physical inactivity (PI) was much higher among Colombian students (74.6%) compared with Danish (25.2%) and with students with a non-Danish background living in Denmark (21.1%). Both groups of Danish adolescents participated more often in organized sports, spent more time on sports after school, were more likely to actively commute to school compared to Colombians and spent less time on screen viewing than Colombians did. In both Columbian and Danish students, low time spent on sports after school, and poorer self-perceived health, were associated with PI. Sedentary behaviours (time in front of screen) were also positively associated with PI. Conclusion:Most Colombian adolescents were not meeting the recommendation of accumulating at least 60 minutes per day of moderate-to-vigorous intensity PA for positive health outcomes as most Danish adolescents did independently of their ethnic background. We assume that the physical and social environment in the neighbourhoods where adolescents live may explain the differences in levels of PA between the countries.

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Section: Discussionsupporting

confidence: 83%

Section: Discussionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

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Physical Inactivity among Danish and Colombian Adolescents with Lower Level of Family Affluence

Olaya‐Contreras¹,

Stock²

2016

GJHS

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“…In recent decades, physical inactivity has been identified as an important public health problem globally [1,2]. A number of initiatives aimed at encouraging more physical activity have emerged in an effort to tackle this issue [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Psychometric Properties of Perceived Motivational Climate in Sport Questionnaire and Its Relationship to Physical Activity and Gender Using Structural Equation Modelling

et al. 2018

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(1) Background: Different authors have established that each type of motivation to sports can favor healthy habits in men and women, being important to promote more self-determined motivations. (2) Methods: The present study was designed to assess selected psychometric properties of the Perceived Motivational Climate in Sport Questionnaire and study the relationship between motivational climate, physical activity and gender in adolescents. Research was conducted with a sample of 2134 Spanish children (12.5 ± 1.4 years). (3) Results: The final scale was formed of two factors. The fit of factor 1 (ego climate) was 0.867, the fit for factor 2 was 0.851 (task climate) and the overall fit was 0.765. Structural equation modelling identified a negative relationship between ego climate and task climate. This relationship was strong in women. A direct relationship was found between the ego climate and task climate in relation to physical activity in men and women. Nevertheless, this positive relationship was stronger in men. (4) Conclusions: PMCSQ-2 test is a good instrument to measure the motivation towards sports practice. Moreover, it is important to promote adaptive types of motivation in physical education classes in order to generate pleasure for learning and long-term physical activity engagement.

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“…There is a combined effect on physical inactivity of the low social class and the bully. However, cyber bullying is not handled separately from bullying as a result of this study [28].…”

Section: Body Image-obesity-eating Habits-eating Attitude Disorders-pmentioning

confidence: 99%

Cyber bullying and its effects on the adolescent and youth health: A huge problem behind tiny keys

Tözün¹,

Bababoglu²

2018

Ann Clin Anal Med

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Bullying is defined as the repeated act of violence toward victims on the basis of power imbalance. A new type of bullying is derived with the development of digital communication technologies such as the internet and mobile phones which is called "cyber bullying". Today being a victim of cyber bullying has become a major public health problem among adolescents and young people. While the act of cyber bullying is more common among boys, girls are reported to be usually the victim. Being a part of an ethnic minority, gender other than heterosexuality is a risk factor for cyber bullying victimization. There is a relation between eating behavior disorders, anxiety, depression, suicidal tendencies, anger, aggression, non-alcohol-addiction with mental health problems and cyber bullying victimization. Quality of life seems to be low in both victims and bullies. Also, disturbances among parents, siblings' relationships, and academic underperformance are associated with cyber bullying. It can be said that all subjects related to social and mental health can be affected by cyber bullying. The purpose of this review is to reveal what cyber bullying is, its risk factors, and its relationship on adolescents and young adults physical and mental health. IntroductionBullying is defined as an act of violence repeated over time in which there is a power imbalance between the victims and those who bully [1,2]. In traditional bullying, the victim and the bully are face-to-face. Traditional bullying can be categorized as physical like hitting-kicking, verbal like ridicule and threat, and relational like exclusion and spreading rumor. A new kind of bullying came into existence with the development of digital communication technologies such as the internet and mobile phone and is called "Cyber bullying" [3]. Cyber bullying is defined as deliberately and repeatedly damaging someone using digital technologies [4]. Cyber bullying is most commonly performed in the form of annoying messages and social attacks by unidentified messages through e-mail, instant messaging, chat rooms, and websites. The target audience in bullying / cyber bullying studies is categorized as the bullies, the victims, those who are both the bully and the victim, and those who are neither the bully nor the victim [1,2]. Modecki and colleagues report in the meta-analysis study of the results of eighty studies that traditional bullying is seen twice as much as cyber bullying, and that traditional and cyber bullying are highly correlated [3]. For this reason, it is seen that most of the studies related to the subject are handled together with traditional and cyber bullying. The purpose of this review is to reveal what cyber bullying is, its risk groups, and its effects on the physical and mental health of adolescents and young adults.

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Social background, bullying, and physical inactivity: National study of 11‐ to 15‐year‐olds

Cited by 34 publications

References 36 publications

Physical Inactivity among Danish and Colombian Adolescents with Lower Level of Family Affluence

Physical Inactivity among Danish and Colombian Adolescents with Lower Level of Family Affluence

Analysis of the Psychometric Properties of Perceived Motivational Climate in Sport Questionnaire and Its Relationship to Physical Activity and Gender Using Structural Equation Modelling

Cyber bullying and its effects on the adolescent and youth health: A huge problem behind tiny keys

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