scholarly journals Associations between Adherence to Combinations of 24-h Movement Guidelines and Overweight and Obesity in Japanese Preschool Children

2020 ◽  
Vol 17 (24) ◽  
pp. 9320
Author(s):  
Hyunshik Kim ◽  
Jiameng Ma ◽  
Kenji Harada ◽  
Sunkyoung Lee ◽  
Ying Gu
Keyword(s):  
Physical Activity ◽  
Preschool Children ◽  
Sleep Duration ◽  
Screen Time ◽  
Cross Sectional Study ◽  
Overweight And Obesity ◽  
Intervention Programs ◽  
Cross Sectional ◽  
Public Health Policies ◽  
The Status

The interactions between movement behaviors (physical activity, screen time, and sleep) affect the health of preschool children. Therefore, we examined the status of adherence to combinations of 24-hour movement guidelines (24-h MG) in Japanese preschool children and determined the associations between overweight/obesity and adherence to these 24-h MG. This cross-sectional study was conducted with 421 children aged 3–5 years (216 boys and 199 girls) living in the northeastern region of Japan. To evaluate the 24-h MG, physical activity over one week was measured using a three-axis accelerometer. For screen time and sleep duration, a questionnaire survey was conducted. Children who failed to meet all the 24-h MG had a higher probability of overweight/obesity than those who met all the 24-h MG (odds ratio 1.139, 95% confidence interval: 1.009, 1.285). The percentage of adherence to the 24-h MG was 91.6% for physical activity, 82.5% for sleep duration, and 33.7% for screen time, and only 21.5% of the children adhered to all three areas of the guidelines. Our findings have important implications for developing public health policies and effective intervention programs for preschool children.

scholarly journals Prevalence and correlates of adherence to movement guidelines among urban and rural children in Mozambique: a cross-sectional study

2019 ◽  
Vol 16 (1) ◽  
Author(s):  
Taru Manyanga ◽  
Joel D. Barnes ◽  
Jean-Philippe Chaput ◽  
Peter T. Katzmarzyk ◽  
Antonio Prista ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sleep Duration ◽  
Screen Time ◽  
Cross Sectional Study ◽  
Rural Children ◽  
Sectional Study ◽  
Cross Sectional ◽  
Middle Income ◽  
Middle Income Countries ◽  
Low Middle Income Countries

Abstract Background Insufficient physical activity, short sleep duration, and excessive recreational screen time are increasing globally. Currently, there are little to no data describing prevalences and correlates of movement behaviours among children in low-middle-income countries. The few available reports do not include both urban and rural respondents, despite the large proportion of rural populations in low-middle-income countries. We compared the prevalence of meeting 24-h movement guidelines and examined correlates of meeting the guidelines in a sample of urban and rural Mozambican schoolchildren. Methods This is cross-sectional study of 9–11 year-old children (n = 683) recruited from 10 urban and 7 rural schools in Mozambique. Moderate- to vigorous-intensity physical activity (MVPA) and sleep duration were measured by waist-worn Actigraph GT3X+ accelerometers. Accelerometers were worn 24 h/day for up to 8 days. Recreational screen time was self-reported. Potential correlates of meeting 24-h movement guidelines were directly measured or obtained from validated items of context-adapted questionnaires. Multilevel multivariable logit models were used to determine the correlates of movement behaviours. Meeting 24-h movement guidelines was defined as ≥60 min/day of MVPA, ≤2 h/day of recreational screen time, and between 9 and 11 h/night of sleep. Results More rural (17.7%) than urban (3.6%) children met all three 24-h movement guidelines. Mean MVPA was lower (82.9 ± 29.5 min/day) among urban than rural children (96.7 ± 31.8 min/day). Rural children had longer sleep duration (8.9 ± 0.7 h/night) and shorter recreational screen time (2.7 ± 1.9 h/day) than their urban counterparts (8.7 ± 0.9 h/night and 5.0 ± 2.3 h/day respectively). Parental education (OR: 0.37; CI: 0.16–0.87), school location (OR: 0.21; CI: 0.09–0.52), and outdoor time (OR: 0.67; CI: 0.53–0.85) were significant correlates of meeting all three 24-h movement guidelines. Conclusions Prevalence and correlates of meeting movement guidelines differed between urban and rural schoolchildren in Mozambique. On average, both groups had higher daily MVPA minutes, shorter sleep duration, and higher recreational screen time than the 24-h movement guidelines recommend. These findings (e.g., higher than recommended mean daily MVPA minutes) differ from those from high-income countries and highlight the need to sample from both urban and rural areas.

scholarly journals Association between objectively measured body composition, sleep parameters and physical activity in preschool children: a cross-sectional study

BMJ Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. e042669
Author(s):  
Justyna Wyszyńska ◽  
Piotr Matłosz ◽  
Muhammad Asif ◽  
Agnieszka Szybisty ◽  
Paweł Lenik ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Composition ◽  
Preschool Children ◽  
Muscle Mass ◽  
Sleep Duration ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Sleep Parameters ◽  
Objectively Measured

ObjectiveAssociations between self-reported sleep duration and obesity indices in children are well recognised; however, there are no studies on associations between objectively measured other sleep parameters and physical activity with body composition in preschoolers. Therefore, the aim of this study was to determine the associations between sleep parameters and moderate-to-vigorous physical activity (MVPA) with body composition indices in preschoolers using objective measures.DesignA cross-sectional study.ParticipantsThe study group consisted of 676 children aged 5–6 years, who were enrolled in kindergartens in the 2017/2018 school year.Outcome measuresSleep parameters and MVPA were measured using accelerometers for 7 days. Bioelectrical impedance analysis was used to estimate body composition.ResultsSleep duration and sleep efficiency were inversely associated with body fat percentage (BFP) (β=−0.013 and β from –0.311 to −0.359, respectively) and body mass index (BMI) (β from −0.005 to −0.006 and from −0.105 to –0.121, respectively), and directly associated with fat-free mass (FFM) (β from 0.010 to 0.011 and from 0.245 to 0.271, respectively) and muscle mass (β from 0.012 to 0.012 and from 0.277 to 0.307, respectively) in unadjusted and adjusted models. BFP was inversely associated with MVPA and positively associated with number of awakenings and sleep periods. Number of sleep periods was inversely associated with FFM, and positively with BMI and muscle mass. Correlation matrix indicated significant correlation between BFP, FFM and muscle mass with sleep duration, sleep efficiency, number of sleep periods and MVPA.ConclusionsPeriodic assessment of sleep parameters and MVPA in relation to body composition in preschool children may be considered, especially in those who are at risk for obesity.

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 Excessive body weight of children and adolescents in the spotlight of their parents’ overweight and obesity, physical activity, and screen time

2020 ◽  
Vol 65 (8) ◽  
pp. 1309-1317 ◽  
Author(s):  
Erik Sigmund ◽  
Dagmar Sigmundová ◽  
Petr Badura
Keyword(s):  
Physical Activity ◽  
Body Weight ◽  
Screen Time ◽  
Leisure Time ◽  
Cumulative Effect ◽  
Cross Sectional Study ◽  
Overweight And Obesity ◽  
Cross Sectional ◽  
Children And Adolescent ◽  
Excessive Body Weight

Abstract Objectives The main aim of this study was to bridge the research gap in the countries of Central Europe using the family dyad approach to examine the associations of parents’ overweight/obesity, physical activity (PA), and screen time (ST) with excessive body weight in their offspring. Methods The cross-sectional study included 1101 parent–child dyads (648/453 mother/father–child aged 4–16) selected by two-stage stratified random sampling with complete data on body weight categories, weekly PA (Yamax pedometer), ST (family logbook) collected over a regular school/working week during the spring and autumn seasons between 2013 and 2019. Binary logistic regression analyses were used to identify which of parents’ lifestyle indicators were associated with the overweight/obesity of their offspring. Results The mother’s overweight/obesity significantly increases her children’s odds of overweight/obesity. Concerning fathers, active participation in organized leisure-time PA and reaching 10,000 steps per day significantly reduce the odds of overweight/obesity in their children and adolescent offspring. Conclusions The cumulative effect of parental participation in organized leisure-time PA with their own family-related PA can be a natural means of preventing the development of overweight/obesity in their offspring.

scholarly journals 24-h Movement Guidelines and Substance Use among Adolescents: A School-Based Cross-Sectional Study

2021 ◽  
Vol 18 (6) ◽  
pp. 3309
Author(s):  
Hugues Sampasa-Kanyinga ◽  
Ian Colman ◽  
Gary S. Goldfield ◽  
Ian Janssen ◽  
JianLi Wang ◽  
...  
Keyword(s):  
Physical Activity ◽  
Substance Use ◽  
Alcohol Consumption ◽  
Cigarette Smoking ◽  
Sleep Duration ◽  
Screen Time ◽  
Vigorous Physical Activity ◽  
Cross Sectional Study ◽  
Cannabis Use ◽  
Cross Sectional

Children and youth are recommended to achieve at least 60 min/day of moderate-to-vigorous physical activity, no more than 2 h/day of recreational screen time, and a sleep duration of 9–11 h/night for 11–13-year-olds or 8–10 h/night for 14–17-year-olds. Meeting the physical activity, screen time, and sleep duration recommendations have previously been associated with substance use among adolescents. However, previous research has mainly examined these factors individually rather than looking at how these indicators could concurrently relate to substance use in this age group. Therefore, this study examined the associations between meeting the 24-h movement guidelines for screen time, sleep duration, and physical activity (independent variables) with substance use outcomes including alcohol consumption, cannabis use, and cigarette smoking (dependent variables) among adolescents. Self-reported data from a cross-sectional and representative sample of 10,236 students (mean age = 15.1 years) in Ontario, Canada were analyzed. Logistic regression models stratified by gender were adjusted for potential confounders. Combinations of 24-h movement guidelines was differentially associated with substance use in boys and girls. Overall, findings showed that meeting 24-h movement guidelines is associated with lower odds of alcohol consumption, cannabis use, and cigarette smoking differentially with type of recommendation met and gender. Given that the associations between 24-h movement guidelines and substance use differ between boys and girls, future efforts should take this into consideration.

Independent and Combined Influences of Physical Activity, Screen Time and Sleep Quality on Adiposity Indicators in Indian Adolescents

2021 ◽  
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 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< 60min/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< 60min/d and ST> 120min/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 being overweight was 2.10 times higher in boys reporting low PA and 4.13 times higher in those with low PA+ ST > 120min/d. Clustering of all three unhealthy behaviors increased obesity risk 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.

Relationship between breastfeeding and obesity in high school girls

2020 ◽  
Vol 33 (8) ◽  
pp. 1003-1008
Author(s):  
Mahnaz Mardani ◽  
Sadegh Rezapour ◽  
Fereshteh Hajipour
Keyword(s):  
Physical Activity ◽  
High School ◽  
Cross Sectional Study ◽  
Overweight And Obesity ◽  
School Type ◽  
Parental Occupation ◽  
Cross Sectional ◽  
High School Girls ◽  
Multi Stage ◽  
School Girls

AbstractObjectivesSome factors in infancy can play a role in the development of adolescent obesity. Understanding these factors can help prevent early complications in adolescents associated with obesity in adulthood. The aim of this study was to determine the prevalence of overweight and obesity among high school girls in Khorramabad and its relationship with breastfeeding history.MethodsThis was a cross-sectional study. This study was conducted in 832 high school girls during the academic year 2016–2017. Samples were selected by multi-stage random sampling. General questionnaires, physical activity, and 24-h food questions were completed through interviews with students. Data regarding breastfeeding was obtained by mothers.ResultsThe prevalence of overweight and obesity in the study population was 16.3 and 5.8%, respectively. Overweight and obesity had a significant association with breastfeeding history (p = 0.001), while there was no significant relationship between overweight and obesity with school type, student’s age, parental occupation, education Parents, household size, birth rate, physical activity, and energy intake.ConclusionsThe results of this study showed that breast feeding has a protective effect on overweight and obesity during adolescence. To reduce the incidence of overweight and obesity, necessary education regarding breastfeeding should be provided.

scholarly journals Compliance with the 24-Hour Movement Behavior Guidelines and Associations with Adiposity in European Preschoolers: Results from the ToyBox-Study

2021 ◽  
Vol 18 (14) ◽  
pp. 7499
Author(s):  
Marga Decraene ◽  
Vera Verbestel ◽  
Greet Cardon ◽  
Violeta Iotova ◽  
Berthold Koletzko ◽  
...  
Keyword(s):  
Sleep Duration ◽  
Screen Time ◽  
Total Sample ◽  
Cross Sectional Study ◽  
World Health ◽  
Movement Behavior ◽  
Cross Sectional ◽  
Guideline Compliance ◽  
Z Scores ◽  
Health Organization

In 2019, the World Health Organization (WHO) published 24 h movement behavior guidelines for preschoolers with recommendations for physical activity (PA), screen time (ST), and sleep. The present study investigated the proportion of preschoolers complying with these guidelines (on a total week, weekdays and weekend days), and the associations with adiposity. This cross-sectional study included 2468 preschoolers (mean age: 4.75 years; 41.9% boys) from six European countries. The associations were investigated in the total sample and in girls and boys separately. PA was objectively assessed by step counts/day. Parent-reported questionnaires provided ST and sleep duration data. Generalized estimating equations were used to analyze the association between guideline compliance and adiposity indicators, i.e., body mass index (BMI) z-score and waist to height ratio (WHR). Only 10.1% of the preschoolers complied with the 24 h movement behavior guidelines, 69.2% with the sleep duration guideline, 39.8% with the ST guideline and 32.7% with the PA guideline. No association was found between guideline compliance with all three movement behaviors and adiposity. However, associations were found for isolated weekday screen time (BMI z-scores and WHR: p = 0.04) and weekend day sleep duration (BMI z-scores and WHR: p = 0.03) guideline compliance with both lower adiposity indicators. The latter association for sleep duration was also found in girls separately (BMI z-scores: p = 0.02; WHR: p = 0.03), but not in boys. Longitudinal studies, including intervention studies, are needed to increase preschoolers’ guideline compliance and to gain more insight into the manifestation of adiposity in children and its association with 24 h movement behaviors from a young age onwards.

scholarly journals Pattern of BMI and associated factors in residents of Hussainabad aged 15 years and above.

2020 ◽  
Vol 27 (04) ◽  
pp. 752-758
Author(s):  
Aftab Nazir ◽  
Rabia Arshad Usmani ◽  
Muhammad Sarfraz ◽  
Muhammad Zakria ◽  
Muhammad Umar Ghafoor ◽  
...  
Keyword(s):  
Physical Activity ◽  
Associated Factors ◽  
Dietary Habits ◽  
Eating Habits ◽  
Cross Sectional Study ◽  
Overweight And Obesity ◽  
Obese People ◽  
Cross Sectional ◽  
Risk Practices ◽  
Sweet Foods

Objectives: To study the pattern of BMI and associated factors in residents of Hussainabad aged 15 years and above. Study Design: Cross-sectional study. Setting: Hussainabad, Faisalabad. Period: 15th April to 23th August 2017. Material & Methods: A sample of 410 was obtained. Participants were selected by convenience sampling. Data was collected by self-administered questionnaire. Results: Out of total 410 study participants, 250 (61%) were males and 160 (39%) were females. 258 (62.9%) participants were found having BMI in the range of overweight and obesity, 6 (1.4%) participants were underweight and the remaining 146 (36%) participants were having normal BMI range. Amongst 258 overweight/obese people, 83 (20.2%) people were overweight, 112 (27.3%) moderate obese, 30 (7.3%) severe obese and 33 (8.1%) very severe obese. Overall 175 (42.7%) people were suffering from obesity. 249 (60.7%) people were in habit of eating in between meals and 161 (39.3%) were not used to eating in between meals. 95 (23.1%) people eat four times a day and 55 (13.4%) people eat more than four times a day. Likeness and increased frequency of rice and meat [136 (33.2%) and (130 (31.7%)] was more than vegetables and pulses [(91 (22.2%) and (53 (12.9%)] respectively. 157 (38.3%) people were having nocturnal eating habits. 194 (47.3%) admitted of liking the sweets and sweet foods and 170 (41.5%) people admitted of eating more under stressful conditions. 130 (31.7%) participants don’t do any kind of physical activity. Conclusion: This study describes a high frequency of obesity among population of Hussainabad. Numerous health risk practices were identified including unhealthy dietary habits, eating sweet foods, increased meal frequency, snacking behavior and lack of physical activity.

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