scholarly journals Concurrent Associations between Physical Activity, Screen Time, and Sleep Duration with Childhood Obesity

ISRN Obesity ◽  
2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Kelly R. Laurson ◽  
Joey A. Lee ◽  
Douglas A. Gentile ◽  
David A. Walsh ◽  
Joey C. Eisenmann
Keyword(s):  
Physical Activity ◽  
Childhood Obesity ◽  
Sleep Duration ◽  
Screen Time ◽  
Healthy Lifestyle ◽  
Total Sample ◽  
Lifestyle Behaviors ◽  
Cross Sectional ◽  
Healthy Lifestyle Behaviors ◽  
Simultaneous Influence

Aim. To examine the simultaneous influence of physical activity, screen time, and sleep duration recommendations on the odds of childhood obesity (including overweight). Methods. Physical activity was assessed via pedometer and screen time, and sleep duration were assessed via survey in a cross sectional sample of 674 children (aged 7–12 years) from two Midwestern communities in the fall of 2005. Participants were cross tabulated into four groups depending on how many recommendations were being met (0, 1, 2, or all 3). Linear and logistic regression were used to examine the influence of physical activity, screen time and sleep duration on obesity and interactions among the three variables. Results. Children achieving all three recommendations simultaneously (9.2% of total sample) were the least likely to be obese. Approximately 16% of boys and 9% of girls achieving all recommendations were overweight or obese compared to 53% of boys and 42.5% of girls not achieving any. Conclusions. The odds of obesity increased in a graded manner for each recommendation which was not met. Meeting all three recommendations appears to have a protective effect against obesity. Continued efforts are warranted to promote healthy lifestyle behaviors that include meeting physical activity, screen time, and sleep duration recommendations concurrently.

scholarly journals Gambaran Perilaku Gaya Hidup Sehat Pada Remaja di Ungaran Kabupaten Semarang

2021 ◽  
Vol 2 (2) ◽  
pp. 75
Author(s):  
Fadhilatul Tufaidah ◽  
Puji Purwaningsih ◽  
Trimawati Trimawati
Keyword(s):  
Physical Activity ◽  
Stress Management ◽  
Spiritual Growth ◽  
Interpersonal Relations ◽  
Healthy Lifestyle ◽  
Communicable Diseases ◽  
Lifestyle Behaviors ◽  
Cross Sectional ◽  
Non Communicable Diseases ◽  
Healthy Lifestyle Behaviors

Unhealthy lifestyles such as lack of physical activity, eating unhealthy foods, and stress in teenagers are now increasing. The presence of unhealthy behavior in teenagers can be bad for their health, one of which is the increasing of risk of non-communicable diseases. Therefore applying healthy lifestyle behaviors in teenagers is very important to prevent the occurrence of non-communicable diseases in the future.The purpose of this study was to describe healthy lifestyle behaviors in teenagres which included responsibility for health, physical activity, nutrition, spiritual growth, interpersonal relations, and stress management. This study uses descriptive method with cross sectional approach. The study population was 1.445 adolescents. The sampling technique used proportional random sampling. Total samples were 314 teenagers. Data collection used the Healthy Promotion Lifestyle Profile -II questionnaire. Data analysis used Frequency Distribution. The results showed that the majority of teenagers had fairly good healthy lifestyle behaviors of 226 people (72%), quite good on aspect of health responsibility of 214 people (62.8%), good in healthy lifestyle behavior in aspect of physical activity of 160 people (51%), quite good in the nutritional aspect of 159 people (50.6%), goodin the aspect of spiritual growth of 205 people (65.3%), good in aspect of interpersonal relations of 222 people (70.7%) , and good in the stress management aspect of 211 people (67.2%). An advice for teenagers is to use this research results as an input on healthy lifestyle behaviors that can be carried out and applied in daily lifeKey words: Behaviour, Healthy Lifestyle, Teenager 

scholarly journals Healthy Lifestyle Behaviors and Their Association with Self-Regulation in Chilean Children

2020 ◽  
Vol 17 (16) ◽  
pp. 5676
Author(s):  
José Francisco López-Gil ◽  
Xavier Oriol-Granado ◽  
Mikel Izquierdo ◽  
Robinson Ramírez-Vélez ◽  
Omar Fernández-Vergara ◽  
...  
Keyword(s):  
Physical Activity ◽  
Public Schools ◽  
Mediterranean Diet ◽  
Low Socioeconomic Status ◽  
Screen Time ◽  
Healthy Lifestyle ◽  
Self Regulation ◽  
Lifestyle Behaviors ◽  
Social Emotional Development ◽  
Healthy Lifestyle Behaviors

Background: Self-regulation comprises a series of important competencies, such as the ability to control inner states or responses toward thoughts, attention, emotions, or even performance. The relationship between self-regulation and different healthy lifestyle behaviors among children has not been examined in depth to date. The aim of this study was to explore the association between physical activity, screen time levels, and/or Mediterranean Diet adherence and self-regulation in Chilean children. Methods: A total of 1561 children aged 8–12 years from eight public schools with low socioeconomic status were included. Physical activity, screen time, Mediterranean Diet, and self-regulation were assessed with validated questionnaires. Results: Children who were classified as active or those who reported less than 2 h per day of screen time had higher self-regulation than those who were classified as inactive or counterparts with 2 h per day or more of screen time, respectively. Using joint categories, active children both with low and high screen time showed higher self-regulation compared to inactive/high screen time peers. Additionally, active groups with adherence or non-adherence to the Mediterranean Diet had higher self-regulation compared to inactive and non-adherence peers. Conclusion: Having a greater number of healthy habits, mainly regular physical activity, was associated with higher self-regulation, which might be one potential strategy to promote child social-emotional development.

scholarly journals Physical Activity, Screen Time, and Sleep Duration of Children Aged 6–9 Years in 25 Countries: An Analysis within the WHO European Childhood Obesity Surveillance Initiative (COSI) 2015–2017

Obesity Facts ◽  
2020 ◽  
pp. 1-13
Author(s):  
Stephen Whiting ◽  
Marta Buoncristiano ◽  
Peter Gelius ◽  
Karim Abu-Omar ◽  
Mary Pattison ◽  
...  
Keyword(s):  
Physical Activity ◽  
Childhood Obesity ◽  
Sleep Duration ◽  
Screen Time ◽  
School Administrators ◽  
Well Being ◽  
Pooled Analysis ◽  
Physical And Mental Health ◽  
Short Sleep Duration ◽  
Nationally Representative

<b><i>Background:</i></b> Children are becoming less physically active as opportunities for safe active play, recreational activities, and active transport decrease. At the same time, sedentary screen-based activities both during school and leisure time are increasing. <b><i>Objectives:</i></b> This study aimed to evaluate physical activity (PA), screen time, and sleep duration of girls and boys aged 6–9 years in Europe using data from the WHO European Childhood Obesity Surveillance Initiative (COSI). <b><i>Method:</i></b> The fourth COSI data collection round was conducted in 2015–2017, using a standardized protocol that included a family form completed by parents with specific questions about their children’s PA, screen time, and sleep duration. <b><i>Results:</i></b> Nationally representative data from 25 countries was included and information on the PA behaviour, screen time, and sleep duration of 150,651 children was analysed. Pooled analysis showed that: 79.4% were actively playing for &#x3e;1 h each day, 53.9% were not members of a sport or dancing club, 50.0% walked or cycled to school each day, 60.2% engaged in screen time for &#x3c;2 h/day, and 84.9% slept for 9–11 h/night. Country-specific analyses of these behaviours showed pronounced differences, with national prevalences in the range of 61.7–98.3% actively playing for &#x3e;1 h/day, 8.2–85.6% were not members of a sport or dancing club, 17.7–94.0% walked or cycled to school each day, 32.3–80.0% engaged in screen time for &#x3c;2 h/day, and 50.0–95.8% slept for 9–11 h/night. <b><i>Conclusions:</i></b> The prevalence of engagement in PA and the achievement of healthy screen time and sleep duration are heterogenous across the region. Policymakers and other stakeholders, including school administrators and parents, should increase opportunities for young people to participate in daily PA as well as explore solutions to address excessive screen time and short sleep duration to improve the overall physical and mental health and well-being of children.

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 Individual-Level Determinants of Lifestyle Behavioral Changes during COVID-19 Lockdown in the United States: Results of an Online Survey

2021 ◽  
Vol 18 (8) ◽  
pp. 4364
Author(s):  
Xiaotao Zhang ◽  
Abiodun Oluyomi ◽  
LeChauncy Woodard ◽  
Syed Ahsan Raza ◽  
Maral Adel Fahmideh ◽  
...  
Keyword(s):  
Physical Activity ◽  
Alcohol Use ◽  
Online Survey ◽  
Healthy Lifestyle ◽  
The United States ◽  
Lifestyle Changes ◽  
Lifestyle Behaviors ◽  
Individual Level ◽  
Diet And Physical Activity ◽  
Healthy Lifestyle Behaviors

This study examined individual-level determinants of self-reported changes in healthy (diet and physical activity) and addictive (alcohol use, smoking, and vaping) lifestyle behaviors during the initial COVID-19 lockdown period in the USA. A national online survey was administered between May and June 2020 that targeted a representative U.S. sample and yielded data from 1276 respondents, including 58% male and 50% racial/ethnic minorities. We used univariate and multivariable linear regression models to examine the associations of sociodemographic, mental health, and behavioral determinants with self-reported changes in lifestyle behaviors. Some study participants reported increases in healthy lifestyle behaviors since the pandemic (i.e., 36% increased healthy eating behaviors, and 33% increased physical activity). However, they also reported increases in addictive lifestyle behaviors including alcohol use (40%), tobacco use (41%), and vaping (46%). With regard to individual-level determinants, individuals who reported adhering to social distancing guidelines were also more likely to report increases in healthy lifestyle behaviors (β = 0.12, 95% CI 0.04 to 0.21). Conversely, women (β = −0.37, 95% CI −0.62 to −0.12), and unemployed individuals (β = −0.33, 95% CI −0.64 to −0.02) were less likely to report increases in healthy lifestyle behaviors. In addition, individuals reporting anxiety were more likely to report increases in addictive behaviors (β = 0.26, 95% CI 0.09 to 0.43). Taken together, these findings suggest that women and unemployed individuals may benefit from interventions targeting diet and physical activity, and that individuals reporting anxiety may benefit from interventions targeting smoking and alcohol cessation to address lifestyle changes during the pandemic.

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.

Personal Health Practices and Perceptions of Lifestyle Counseling and Preventive Services Among Residents

2020 ◽  
pp. 155982761989630
Author(s):  
Jenny Sunghyun Lee ◽  
April Wilson ◽  
Oluwatimilehin Okunowo ◽  
Jennifer Trinh ◽  
Jon Sivoravong
Keyword(s):  
Healthy Lifestyle ◽  
Preventive Services ◽  
Medical Residents ◽  
Personal Health ◽  
Training Level ◽  
Lifestyle Behaviors ◽  
Cross Sectional ◽  
Lifestyle Counseling ◽  
Healthy Lifestyle Behaviors ◽  
And Training

Background. Primary care residents are expected to provide lifestyle counseling and preventive services for patients with chronic diseases; also, physicians’ personal lifestyle practice impacts patient care. The purpose of this article is to assess healthy lifestyle behaviors and attitudes to engage in lifestyle counseling and preventive services among residents and fellows in different training levels and specialty. Methods. A cross-sectional pilot study was conducted on medical residents and fellows (n = 57). Surveys collected information on lifestyle behaviors and perceptions of lifestyle counseling and preventive services. Comparisons of study measures were made across residents’ specialty and training levels. Fisher’s exact and analysis of variance tests were used for statistical analysis. Results. There were several significant differences in perceptions of counseling and screening by specialty and training level. There were no significant differences in personal lifestyle behaviors between all resident specialties and training levels. Conclusion. Our findings suggest that there are opportunities to improve healthy lifestyle behaviors and perceptions of lifestyle counseling and preventive services among residents in different specialties and training levels. This knowledge can inform development of training programs in lifestyle and preventive medicine practice during residency and fellowship.

scholarly journals Greater bed- and wake-time variability is associated with less healthy lifestyle behaviors: a cross-sectional study

2015 ◽  
Vol 24 (1) ◽  
pp. 31-40 ◽  
Author(s):  
Mitch J Duncan ◽  
Christopher E Kline ◽  
Amanda L Rebar ◽  
Corneel Vandelanotte ◽  
Camille E Short
Keyword(s):  
Healthy Lifestyle ◽  
Cross Sectional Study ◽  
Time Variability ◽  
Lifestyle Behaviors ◽  
Sectional Study ◽  
Cross Sectional ◽  
Wake Time ◽  
Healthy Lifestyle Behaviors

scholarly journals Self-reported physical activity in European adolescents: results from the HELENA (Healthy Lifestyle in Europe by Nutrition in Adolescence) study

2010 ◽  
Vol 14 (2) ◽  
pp. 246-254 ◽  
Author(s):  
Katrien De Cocker ◽  
Charlene Ottevaere ◽  
Michael Sjöström ◽  
Luis A Moreno ◽  
Julia Wärnberg ◽  
...  
Keyword(s):  
Physical Activity ◽  
Weight Status ◽  
Leisure Time ◽  
Healthy Lifestyle ◽  
Economic Status ◽  
Age Groups ◽  
Total Sample ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Home Based

AbstractObjectiveTo describe self-reported physical activity (PA) patterns in the various domains (school, home, transport, leisure time) and intensity categories (walking, moderate PA, vigorous PA) in European adolescents. Furthermore, self-reported PA patterns were evaluated in relation to gender, age category, weight status category and socio-economic status (SES).DesignCross-sectional study.SettingTen European cities.SubjectsIn total, 3051 adolescents (47·6 % boys, mean age 14·8 (sd1·2) years) completed an adolescent-adapted version of the validated International Physical Activity Questionnaire.ResultsThe total sample reported most PA during leisure time (485 min/week) and least PA at home (140 min/week). Boys reported significantly more school-based PA (P< 0·001), leisure-time PA (P= 0·003), vigorous PA (P< 0·001) and total PA (P= 0·002) than girls, while girls reported more home-based PA (P< 0·001) and walking (P= 0·002) than boys. Self-reported PA at school (P< 0·001), moderate PA (P< 0·001), vigorous PA (P< 0·001) and total PA (P< 0·001) were significantly higher in younger age groups than in older groups. Groups based on weight status differed significantly only in leisure-time PA (P= 0·004) and total PA (P= 0·003), while groups based on SES differed in all PA domains and intensities except transport-related PA and total PA.ConclusionsThe total sample of adolescents reported different scores for the different PA domains and intensity categories. Furthermore, patterns were different according the adolescents’ gender, age, weight status and SES.

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