scholarly journals Overweight and obesity by school socioeconomic composition and adolescent socioeconomic status: a school-based study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Maxime Luiggi ◽  
Olivier Rey ◽  
Maxime Travert ◽  
Jean Griffet
Keyword(s):  
Physical Activity ◽  
Socioeconomic Status ◽  
Information Criterion ◽  
Overweight And Obesity ◽  
The Body ◽  
Obesity Risk ◽  
School Based ◽  
Logistic Regressions ◽  
Socioeconomic Composition ◽  
Overweight Or Obesity

Abstract Background The main objective of this study was to investigate the interaction effect of school socioeconomic composition (SEC) and adolescent socioeconomic status (SES) in the prevalence of overweight and obesity among a representative sample of French adolescents of the third most populous département of France. Methods 1038 adolescents agreed to participate (response rate: 91.4%). They self-reported anthropomorphic variables, SES, school lunch and physical activity. The body mass index was divided into six categories according to the Center for Disease Control. Multivariable binary logistic regressions analysis without and with interaction term were performed on overweight or obesity. Models fit was compared using the Aikaike Information Criterion. Odds-ratios (OR) and their 95% accelerated-bootstrap confidence interval (95%BCa CI) were computed to estimate overweight or obesity risk. Results 8.9% of the adolescents were overweight. 3.4% were obese. No school-SEC effect was observed among low-SES adolescents. Medium-SES adolescents were at greater risk in low-SEC (OR = 10.75, 95%BCa CI = 2.67–64.57) and medium-SEC (OR = 5.08, 95%BCa CI = 1.55–24.84) compared with high-SEC schools. High-SES adolescents in low-SEC schools were at greater risk compared with those in medium-SEC (OR = 5.94, 95%BCa CI = 1.94–17.29) and high-SEC schools (OR = 4.99, 95%BCa CI = 1.71–13.14). A social gradient was observed in medium-SEC (ORlow/high = 2.79, 95%BCa CI = 1.22–7.41) and high-SEC (ORlow/medium = 6.86, 95%BCa CI = 1.06–5.22*106) schools. Conclusions Physical activity and lunch at and outside school help to understand these differences. Implications for obesity prevention initiatives are discussed.

scholarly journals Children’s Weight Gain and Cardiovascular Fitness Loss over the Summer

2018 ◽  
Vol 15 (12) ◽  
pp. 2770 ◽  
Author(s):  
Timothy Brusseau ◽  
Ryan Burns
Keyword(s):  
Physical Activity ◽  
Physical Activity Intervention ◽  
Cardiovascular Fitness ◽  
The Body ◽  
School Year ◽  
School Based ◽  
Health Related ◽  
Physical Activity Programming ◽  
The Impact ◽  
Health Related Fitness

The purpose of this study was to examine the impact of summer breaks on the body composition and cardiovascular fitness of elementary school children who participated in a multi-year school-based physical activity intervention. Participants were 404 children who had their height and weight measured and completed the Progressive Aerobic Cardiovascular Endurance Run (PACER) during physical education classes at the beginning and end of the school year for three consecutive years. To examine the effects of time on health-related fitness data, general linear mixed effects models were employed. The results indicate that there was a trend toward an increase in body mass index (BMI) after the summer of 2015 (p = 0.958), and a significant increase in BMI after the summer of 2016 compared to time point 1 (p < 0.001). For PACER laps, there were trends toward decreases in PACER laps after the summers of 2015 (p = 0.515) and 2016 (p = 0.073). Summer breaks tended to attenuate the BMI and PACER lap improvements that were observed during the intervention. While school-based physical activity programming has had some successes in improving health-related fitness markers, the loss of these improvements over the summer is of concern to both practitioners and researchers. It is clear that additional efforts are needed to limit obesogenic behaviors during the summer months.

scholarly journals Multi-Year Examination of School-Based Programs in Preventing Childhood Obesity: A Case of a State Policy in the U.S.

2020 ◽  
Vol 17 (24) ◽  
pp. 9425
Author(s):  
Chang-Yong Jang ◽  
Nam-Gyeong Gim ◽  
Yoonhee Kim ◽  
TaeEung Kim
Keyword(s):  
Physical Activity ◽  
Childhood Obesity ◽  
Nutrition Education ◽  
Fixed Effects ◽  
The Body ◽  
Physically Active ◽  
School Based ◽  
American Children ◽  
Teenage Obesity ◽  
State Programs

This study examined the association between the obesogenic factors and the risk of suffering from weight excess in school-based state programs regarding physical activity, physical education, nutrition standards, and nutrition education in preventing childhood obesity. Data were drawn from the 1999–2011 Youth Risk Behavior Survey in the State of Mississippi (N = 8862; grades 9–12). Logistic regression with year-fixed effects was performed to capture the influence of the legislation on teenage obesity, controlling for demographics and nutrition- and physical activity-related behaviors. The age-, sex-, and ethnicity-adjusted mean of the body mass index had reduced since 2007 (year 1999: 23.52; year 2001: 23.53; year 2003: 23.76; year 2007: 24.26; year 2009: 24.29; and year 2011: 23.91). The legislation was significantly associated with a decreased likelihood of being overweight (year 2007, odds ratio (OR) = 0.686; year 2009, OR = 0.739; and year 2011, OR = 0.760; all p < 0.01). Children who were more sedentary, more frequently fasted to lose weight, and were less physically active and likelier to be overweight (OR = 1.05, 1.37, and 0.97, respectively; all p < 0.05), as were African-American children (OR = 0.64; p < 0.05) and female students (OR = 1.59; p < 0.05). In conclusion, schools are among the most easily modifiable settings for preventing childhood obesity and reducing its prevalence, with the implementation of physical activity and nutritional policies.

scholarly journals Independent and combined influences of physical activity, screen time, and sleep quality on adiposity indicators in Indian adolescents

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Panchali Moitra ◽  
Jagmeet Madan ◽  
Preeti Verma
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Screen Time ◽  
Cross Sectional Study ◽  
Overweight And Obesity ◽  
Obesity Risk ◽  
Unhealthy Lifestyle ◽  
Cross Sectional ◽  
Mixed Effect ◽  
Indian Adolescents

Abstract Background Inadequate physical activity (PA), excess screen time (ST), and sub-optimal sleep quality tend to co-occur during adolescence. Yet, little is known about the associations of these behaviors as a cluster with adiposity indicators in Indian adolescents. This study aimed to evaluate the independent and combined influences of PA, ST, and sleep quality on body mass index (BMI) and waist to height ratio (WHtR) in 10–15 years old adolescents in Mumbai, India. A secondary aim was to explore if these influences vary between sexes. Methods Cross-sectional study. Adolescents (n = 772, mean age 13.2 (1.4) years) reported frequency and duration of moderate to vigorous PA (MVPA) and time spent using screens on a previously validated instrument. Sleep quality was estimated using the Pittsburg Sleep Quality Index (PSQI). Weight, height, and waist circumference were measured. Mixed effect logistic regression analyses were performed to explore associations between adiposity indicators (BMI z scores > +1SD and WHtR > 0.5) and unhealthy behaviors (PA < 60 min/d, ST > 120 min/d and PSQI scores > 5), stratified by sex. Results The combined prevalence of overweight and obesity was 38.3%. Overall, 62.0 and 85.0% reported MVPA< 60 min/d and ST > 120 min/d respectively. Girls reported higher ST (218.21 (69.01) min/d) as compared to boys (165.3 (101.22) min/d, p < 0.001). Clustering of low PA and excess ST was observed in 69.2% and of all three unhealthy behaviors in 18.8%. Among girls, MVPA < 60 min/d (OR = 1.78, 95% CI 1.54–1.92, p < 0.001) and PSQI scores > 5 (OR = 2.01, 95% CI 1.78–2.25, p < 0.001) predicted increased BMI. The odds of overweight/obesity were 2.10 times higher in boys reporting low PA and 4.13 times higher in those with low PA+ ST > 120 min/d. Clustering of all three unhealthy behaviors increased prevalence of obesity in both sexes. Conclusions The results indicated a co-existence of multiple unhealthy lifestyle factors of obesity and that clustering of these behaviors can further aggravate obesity risk as compared to their independent effects. Integrated interventions that leverage the cumulative benefits of being active, less sedentary and sufficient sleep are warranted to facilitate greater improvements in obesity risk behaviors.

scholarly journals The Relationship among Body Mass Index, Physical Activity, Dynamic Balance, and Sleep Patterns

2020 ◽  
Vol 5 (2) ◽  
Author(s):  
Geubrina Kananda ◽  
Eka Roina Megawati
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Body Mass ◽  
Dynamic Balance ◽  
Overweight And Obesity ◽  
The Body ◽  
Sleep Patterns ◽  
Fall Injury ◽  
The World ◽  
The Relationship

According to the World Health Organization in 2010, overweight and obesity are the fifth risk factors of the cause of death in the world. Obesity is influenced by the level of physical activity and it could cause a disturbance in dynamic balance and induce sleep disorder known as sleep apnea. Meanwhile, the lack of physical activity also affects the dynamic balance that can increase the risk of fall injury during the dynamic physical activity. The aim of this study was to investigate the relationship among body mass index, physical activity, the dynamic balance, and sleep patterns. The subjects of this study were 72 young adults aged 20 years in average, consisted of 47 males and 25 females. The body mass index was undertaken by dividing the body weight (kg) and height in meter square (m2). The level of physical activity was performed by using the International Physical Activity Questionnaire. Meanwhile, the dynamic balance was measured by using the modified Bass test; while sleep patterns was measured by using the Pittsburgh Sleep Quality Index. This study found that there was a significant association between BMI and dynamic balance with p value = 0.006 (p 0.05); whereas physical activity was not significantly associated to the dynamic balance (p0.05). Meanwhile, body mass index and physical activity were not significantly associated to sleep patterns (p 0.05). This study concludes that body mass index has a significant association to dynamic balance. Meanwhile, dynamic balance is highly needed in carrying out dynamic physical activity to avoid fall injury.

scholarly journals Nutrition, physical activity and lifestyle as important indicators for the body mass index in high school students

2021 ◽  
Vol 11 (9) ◽  
pp. 137-147
Author(s):  
Lorik Ramaj ◽  
Sadete Hasani
Keyword(s):  
Physical Activity ◽  
High School ◽  
Body Mass Index ◽  
High School Students ◽  
Body Mass ◽  
Overweight And Obesity ◽  
The Body ◽  
Normal Male ◽  
School Students ◽  
Significant Difference

The purpose of this study was to investigate and analyze the problems of underweight, overweight and obesity in young people of high school in Drenas, respectively a sample of 150 adolescents (73 males and 77 females aged 17 years). The research was conducted in the physical education class, initially was performed measurement of weight and height then the questionnaire with 26 questions. Data were collected with the statistical program SPSS version 21.0, descriptive analysis was performed with (Mean and standard deviation), all variables were tested for normality, significant level (significant level p <0.05). Results of anthropometric characteristics, the average age was 17.2 years. Weight / kg for men was 59.4 kg for women 57.3kg the average for both genders was 58.3 (± 6.2) kg. Height / cm  males 1.68cm,  females 1.61cm the average of both genders was 1.64 (± 6.6) cm. BMI body mass index kg / m² in men 21.0, women 22.1, the average of both sexes 21.55 kg / m5. The results show that men have lower BMI (p> 0.05) 21.55 kg / m² than girls with 22.1 kg / m². Data showed underweight males are 12%, and females 10%. BMI Normal male 74%, and female 69%. Overweight males 11%, females 13% while a significant difference was observed between obese boys and girls (obese) males 3% and females 8%. The analysis of the questionnaire showed that small percentages are involved in collective or individual sports, the most pronounced participation in sports was identified: football, volleyball and basketball, and relatively satisfactory were physical activity in household activities. It is recommended to build outdoor fitness and sports gyms, as well as the opening of various sports clubs in this area, and to have more research in this area, to prove the institucions how important are places for sport and physical activities.

scholarly journals Neck circumference as a discriminator of obesity in older women enrolled in a physical activity program

2017 ◽  
Vol 19 (6) ◽  
pp. 710-719
Author(s):  
Daniel Rogério Petreça ◽  
Enaiane Cristina Menezes ◽  
Paula Fabricio Sandreschi ◽  
Felipe Fank ◽  
Giovana Zarpellon Mazo
Keyword(s):  
Physical Activity ◽  
Older Women ◽  
Roc Curve ◽  
Roc Curves ◽  
Overweight And Obesity ◽  
Neck Circumference ◽  
The Body ◽  
Anthropometric Measures ◽  
Anthropometric Parameter ◽  
Physically Active

The aim of this study was to evaluate neck circumference (NC) as a discriminator of overweight and obesity and to establish cut-off points for physically active older women. The sample consisted of 170 older women (69.5 ± 6.8 years) practicing physical activity. Anthropometric measures (body weight, height, waist circumference – WC, and NC) were obtained and the body mass index (BMI) was calculated. Correlation analysis was performed and ROC curves were constructed. NC was significantly correlated with BMI (rho = 0.656; p<0.0001) and WC (r = 0.561; p<0.0001). Correlating BMI with NC, areas under the ROC curve of 0.819 (p=0.0001) for overweight and of 0.902 (p=0.0001) for obesity were obtained, with suggested cut-off points of 33.07 and 34.05 cm, respectively. Correlating WC with NC, areas under the ROC curve of 0.711 (p=0.0014) for moderate risk (WC) and of 0.864 (p=0.0001) for high risk were obtained, with suggested cut-off points of 32.15 and 34.15 cm, respectively. NC was associated with BMI and WC. An NC ≥ 34 cm was a risk factor for obesity and abnormal body fat distribution in the older women studied. This anthropometric parameter is an alternative to discriminate overweight and obesity in physically active older women.

scholarly journals Adiposity and attained height in adolescents: a longitudinal analysis from the LabMed Physical Activity Study

2019 ◽  
Vol 32 (10) ◽  
pp. 1131-1137
Author(s):  
Rafaela Rosário ◽  
Cesar Agostinis-Sobrinho ◽  
Luís Lopes ◽  
Pedro Moreira ◽  
Patrícia Padrão ◽  
...  
Keyword(s):  
Physical Activity ◽  
Socioeconomic Status ◽  
Cohort Study ◽  
Body Fat ◽  
Generalized Linear Models ◽  
Intervention Studies ◽  
Linear Models ◽  
Overweight And Obesity ◽  
Pubertal Stage ◽  
Over Time

Abstract Background To investigate the associations between adiposity and attained height over a 2-year period in healthy adolescents. Methods One thousand and seventeen adolescents aged 12–18 years participated in this cohort study; 893 (87.8%) were reevaluated 1 year later (T2) and 734 (72.2%) subjects 2 years later (T3). Body fat and anthropometry were measured according to standardized procedures. Socioeconomic status, pubertal stage and lifestyles determinants were gathered and used as confounders. Prospective associations between adiposity and height were examined using generalized linear models. Results Greater adiposity at T1 was significantly associated with a lower attained height over time, when adjusting for confounders, which varied between 0.03 and 1 cm in T2 and 0.1 and 1 cm in T3. Conclusions Excess of adiposity in early adolescence may exert an effect on attained height in late adolescence. This study supports future lifestyles intervention studies aiming at preventing overweight and obesity and improving attained height.

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