scholarly journals Obese girls differences in neighbourhood perceptions, screen time and socioeconomic status according to level of physical activity

2008 ◽  
Vol 24 (1) ◽  
pp. 98-104 ◽  
Author(s):  
J. Mota ◽  
J. C. Ribeiro ◽  
M. P. Santos
Keyword(s):  
Physical Activity ◽  
Socioeconomic Status ◽  
Screen Time ◽  
Neighbourhood Perceptions

scholarly journals Clustering of Sedentary Behaviours, Physical Activity, and Energy-Dense Food Intake in Six-Year-Old Children: Associations with Family Socioeconomic Status

Nutrients ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 1722
Author(s):  
Junwen Yang-Huang ◽  
Amy van Grieken ◽  
Lu Wang ◽  
Wilma Jansen ◽  
Hein Raat
Keyword(s):  
Physical Activity ◽  
Socioeconomic Status ◽  
Low Income ◽  
Screen Time ◽  
Healthy Lifestyle ◽  
Intervention Development ◽  
Lifestyle Behaviour ◽  
Lifestyle Behaviours ◽  
Sugary Drinks ◽  
Physically Inactive

This study examined the clustering of lifestyle behaviours in children aged six years from a prospective cohort study in the Netherlands. Additionally, we analysed the associations between socioeconomic status and the lifestyle behaviour clusters that we identified. Data of 4059 children from the Generation R Study were analysed. Socioeconomic status was measured by maternal educational level and net household income. Lifestyle behaviours including screen time, physical activity, calorie-rich snack consumption and sugar-sweetened beverages consumption were measured via a parental questionnaire. Hierarchical and non-hierarchical cluster analyses were applied. The associations between socioeconomic status and lifestyle behaviour clusters were assessed using logistic regression models. Three lifestyle clusters were identified: “relatively healthy lifestyle” cluster (n = 1444), “high screen time and physically inactive” cluster (n = 1217), and “physically active, high snacks and sugary drinks” cluster (n = 1398). Children from high educated mothers or high-income households were more likely to be allocated to the “relatively healthy lifestyle” cluster, while children from low educated mothers or from low-income households were more likely to be allocated in the “high screen time and physically inactive” cluster. Intervention development and prevention strategies may use this information to further target programs promoting healthy behaviours of children and their families.

scholarly journals Activity–Inactivity Patterns, Screen Time, and Physical Activity: The Association with Overweight, Central Obesity and Muscle Strength in Polish Teenagers. Report from the ABC of Healthy Eating Study

2020 ◽  
Vol 17 (21) ◽  
pp. 7842
Author(s):  
Magdalena Górnicka ◽  
Jadwiga Hamulka ◽  
Lidia Wadolowska ◽  
Joanna Kowalkowska ◽  
Eliza Kostyra ◽  
...  
Keyword(s):  
Physical Activity ◽  
Socioeconomic Status ◽  
Muscle Strength ◽  
Screen Time ◽  
Urban Areas ◽  
Central Obesity ◽  
Handgrip Strength ◽  
Measure Data ◽  
Public Health Perspective ◽  
Socioeconomic And Demographic Factors

Today, the time spent actively is increasingly being replaced by screen-based media, although in some teenagers, a high level of physical activity (PA) and longer time spent in front of a screen (screen time, ST) may coexist as a mixed behavioral pattern. This study aimed to examine the association of the pattern created as activity (low/high ST with high PA) and inactivity patterns (low/high ST with low PA) with overweight, central obesity, and muscle strength in Polish teenagers taking into consideration socioeconomic and demographic factors. Cross-sectional data were collected from elementary school children (n = 1567), aged 11–13 years. Height, weight, waist circumference, and handgrip strength were measured. Body mass index (BMI) was calculated as the overweight measure, and the waist-to-height ratio (WHtR) was calculated as the central obesity measure. Data on ST, PA, socioeconomic status, demographics, and nutrition knowledge were collected by a questionnaire. Activity–inactivity patterns were defined by an a priori approach. Multivariate logistic regression modelling was applied. The most active pattern (lowST-highPA) was found in 17% of the total sample. Teenagers with the most inactive pattern (highST-lowPA) had over four times higher chance of general overweight. No association between WHtR ≥0.5 and highST-highPA pattern was found. Higher muscle strength (>1 SD) was associated only with high physical activity. Urban residence or lower socioeconomic status increased adherence to the most inactive pattern. From a public health perspective, implementing interventions promoting active patterns in 11–13-year-old teenagers is important for obesity prevention and enhanced physical fitness, especially in girls, teenagers living in urban areas, and from families with lower socio-economic status.

scholarly journals Association of individual and neighbourhood socioeconomic status with physical activity and screen time in seventh-grade boys and girls in Berlin, Germany: a cross-sectional study

BMJ Open ◽  
2017 ◽  
Vol 7 (12) ◽  
pp. e017974 ◽  
Author(s):  
Lilian Krist ◽  
Christin Bürger ◽  
Nanette Ströbele-Benschop ◽  
Stephanie Roll ◽  
Fabian Lotz ◽  
...  
Keyword(s):  
Physical Activity ◽  
Socioeconomic Status ◽  
Secondary Schools ◽  
Screen Time ◽  
Health Behaviours ◽  
Cross Sectional Study ◽  
School Type ◽  
Sectional Study ◽  
Seventh Grade ◽  
Cross Sectional

ObjectivesFew studies have explored the impact of neighbourhood socioeconomic status (SES) on health behaviours in youths in Germany. Our aim was to investigate the association of individual and neighbourhood SES with physical activity (PA) and screen time (ST) in students aged 12–13 years in Berlin.DesignCross-sectional study.SettingSecondary schools (high schools and integrated secondary schools) in Berlin, Germany.ParticipantsA total of 2586 students aged 12–13 years (seventh grade).Main outcome measuresSociodemographics, anthropometric data and health behaviours were assessed by self-report during classes. Primary outcome was the association of individual and neighbourhood SES with meeting daily PA and exceeding daily ST recommendations. Students’ characteristics were described with means or percentages. Comparisons were performed using generalised linear mixed model yielding ORs with 95% CIs.ResultsMean (±SD) age was 12.5±0.5 years, 50.5% were girls and 34.1% had a migrant background. When adjusting for individual covariates, associations of low versus high individual SES were 0.85 (0.48; 1.52) for PA and 2.08 (1.26; 3.43) for ST. Associations of low versus high neighbourhood SES were 1.76 (1.12; 2.75) for PA and 1.54 (1.10; 2.17) for ST. After additional adjustment for school type and school neighbourhood SES, associations comparing low versus high individual and neighbourhood SES were attenuated for PA (individual SES 0.74 (0.41; 1.33) and neighbourhood SES 1.51 (0.93; 2.46)) and ST (individual SES 1.88 (1.12; 3.14) and neighbourhood SES 1.40(0.98; 2.00).ConclusionsLower individual and neighbourhood SES were associated with higher ST. Lower neighbourhood but not individual SES was associated with higher PA. After consideration of school type and school neighbourhood SES associations were attenuated and became insignificant for the relationship between neighbourhood SES, PA and ST. Further research is warranted to unravel the complex relationships between individual SES, neighbourhood SES and school environment to develop more targeted health promotion strategies in the future.

scholarly journals Early-life activities mediate the association between family socioeconomic status in early childhood and physical fitness in early adolescence

2022 ◽  
Vol 12 (1) ◽  
Author(s):  
Rosa S. Wong ◽  
Keith T. S. Tung ◽  
Bianca N. K. Chan ◽  
Frederick K. W. Ho ◽  
Nirmala Rao ◽  
...  
Keyword(s):  
Physical Activity ◽  
Socioeconomic Status ◽  
Physical Fitness ◽  
Screen Time ◽  
Early Life ◽  
Activity Level ◽  
Family Socioeconomic Status ◽  
Standing Long Jump ◽  
Long Jump ◽  
Parent Child

AbstractThe graded association between family socioeconomic status (SES) and physical fitness is evident, but little is known about the mechanism underlying this association. This study investigated the role of early-life activities as mediators of the longitudinal relationship between early-life SES and health-related physical fitness in 168 adolescents (51.2% boys; final mean age: 12.4 years old). In Wave 1 (2011–12), their parents completed questionnaires about family socioeconomic status (SES), parent–child activities, and child screen time. In Wave 2 (2014–15), participants’ physical activity levels were assessed through parent proxy-reports. In Wave 3 (2018–19), a direct assessment of handgrip strength, standing long-jump, and 6-min walk test (6MWT) performance was conducted. After controlling for demographic factors, results of mediation analyses revealed that (a) Wave 1 SES predicted Wave 3 long-jump and 6MWT performance; (b) child physical activity level in Wave 2 mediated the relation between Wave 1 SES and standing long-jump performance in Wave 3; and (c) recreational parent–child activities and child screen time in wave 1 mediated the relation between Wave 1 SES and 6MWT performance in Wave 3. Our findings suggest that the type and frequency of early-life activities play a role in the graded association between childhood SES and physical fitness in adolescence.

scholarly journals Trends in overweight and obesity by socioeconomic status in Year 6 school children, Australian Capital Territory, 2006–2018

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Zongjian Yang ◽  
Hai Phung ◽  
Ann-Maree Hughes ◽  
Sommer Sherwood ◽  
Emily Harper ◽  
...  
Keyword(s):  
Physical Activity ◽  
Socioeconomic Status ◽  
School Children ◽  
Screen Time ◽  
Fast Food ◽  
Weight Status ◽  
Overweight And Obesity ◽  
Health Concern ◽  
Australian Capital Territory ◽  
Australian Capital

Abstract Background Due to the high prevalence and adverse consequences, overweight and obesity in children continues to be a major public health concern worldwide. Socioeconomic background and health-related behaviours (such as diet, physical activity and sedentary behaviors) are important factors associated with weight status in children. Using a series of height and weight assessments from the Australian Capital Territory Physical Activity and Nutrition Survey (ACTPANS), trends in prevalence of overweight and obesity by socioeconomic status were examined in ACT Year 6 school children between 2006 and 2018. Methods The ACTPANS has been conducted every 3 years since 2006. A total of 6729 children were surveyed. Complete data on height and weight were available for 6384 (94.9%) participants. Trends in the prevalence of overweight and obesity and associations between weight status and risk factors (such as socioeconomic status, physical activity, screen time and consumption of sugar-sweetened soft drinks (SSD)) were examined using logistic regression. Results The prevalence of overweight and obesity remained stable in girls (from 22.5% in 2006 to 21.6% in 2018) but declined in boys (from 27.8 to 17.9%). During the same period, levels of physical activity increased slightly, while screen time and the consumption of fast food and SSD decreased. Socioeconomic gradient, based on the school-level Index of Community Socio-Educational Advantage (ICSEA), was highly associated with prevalence of overweight and obesity. Since 2006, the estimated prevalence of overweight and obesity has remained high in the lowest SES groups, but a concurrent downward trend was observed in the highest SES group, leading to increasing disparity between SES groups. Children in the lowest ICSEA quintile were more likely to be overweight or obese compared to those in the moderate and highest ICSEA quintiles. Children in lower ICSEA quintiles also reported lower levels of physical activity, higher levels of screen time, and higher levels of fast food and SSD consumption compared to those in higher ICSEA quintiles. Conclusions While recent trends in overweight and obesity in ACT children are encouraging, the prevalence remains unacceptably high, especially in those from low socioeconomic backgrounds. Additional prevention efforts are required to address the socioeconomic disparity.

Physical activity, screen time, and nutritional status in adolescents in Banyumas

2019 ◽  
Vol 22 (11) ◽  
pp. 109-114
Author(s):  
IzkaSofiyya Wahyurin ◽  
Saryono Saryono ◽  
Atikah Proverawati
Keyword(s):  
Physical Activity ◽  
Nutritional Status ◽  
Screen Time

scholarly journals The 2 × 2 Achievement Goals in Sport and Physical Activity Contexts: A Meta-Analytic Test of Context, Gender, Culture, and Socioeconomic Status Differences and Analysis of Motivations, Regulations, Affect, Effort, and Physical Activity Correlates

2019 ◽  
Vol 10 (1) ◽  
pp. 173-205 ◽  
Author(s):  
Marc Lochbaum ◽  
Thaís Zanatta ◽  
Zişan Kazak
Keyword(s):  
Physical Activity ◽  
Socioeconomic Status ◽  
Physical Education ◽  
Sample Size ◽  
Achievement Goals ◽  
Gender Culture ◽  
Research Questions ◽  
Mastery Avoidance ◽  
Avoidance Goal ◽  
Mastery Approach

Approach-avoidance achievement goals are studied extensively in the context of competitive sports and physical activity, including leisure and physical education. Building upon past meta-analyses, the purpose of this quantitative review was to provide basic descriptive data, estimated means for testing of several research questions (i.e., context, gender, culture, and socioeconomic status), and meta-analyzing outcome correlates (i.e., self-determination constructs, affect, effort, and physical activity). A total of 116 studies up to 1 December 2018, met inclusion criteria. These 116 studies, totaling a sample size of 43,133 participants (M sample size = 347.85 + 359.36), from 22 countries with 92.7% of samples, are drawn from participants less than 30 years of mean age. From the 116 unique studies, nearly half (49.6%) were from a sport context and the rest from leisure-time physical activity (PA) (19.4%) and physical education (PE) (31.0%) contexts. A number of different analyses were conducted to examine our research questions. Support was found for several of our research questions: The mastery-approach goal was endorsed more than all the other goals, while sport participants endorsed the performance-approach goal more than PA and PE groups; females endorsed the mastery-avoidance goal more than males; more culturally individualistic countries endorsed the mastery-approach goal; and countries from lower socioeconomic and interdependent countries endorsed the mastery-avoidance goal than higher socioeconomic and independent countries. Concerning, the meta-analyzed correlates, most relationships were hypothesized through the performance-approach goal, and both avoidance goals appeared to be too similar in relationships with the correlates raising theoretical concerns. Overall, the mastery-approach goals had the most meaningful biased corrected effect size values (rc) with the outcome correlates, such as relative autonomy (0.47), intrinsic motivation (0.52), effort (0.40), positive affect (0.42), physical activity intent (0.38). Based on the present and past meta-analytic results, the 2 × 2 achievement goals as currently measured was questioned. Future research suggestions included fundamental questionnaire issues, the need for latent profile analysis or other more advanced statistics, and whether the 2 × 2 achievement goal framework is the most appropriate framework in physical activity contexts.

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