scholarly journals Body Mass Index of First Nations youth in Ontario, Canada: influence of sleep and screen time

2013 ◽  
Author(s):  
Michelle Gates ◽  
Rhona Hanning ◽  
Ian Martin ◽  
Allison Gates ◽  
Leonard Tsuji
Keyword(s):  
Body Mass Index ◽  
First Nations ◽  
Body Mass ◽  
Screen Time

scholarly journals Relationship between Gender, Physical Activity, Screen Time, Body Mass Index and Wellbeing in Irish Children from Social-Disadvantage

2021 ◽  
pp. 1-15
Author(s):  
Wesley O’Brien ◽  
Sarahjane Belton ◽  
Ben Fitzpatrick ◽  
Stephen Shannon ◽  
Deirdre Brennan ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Body Mass ◽  
Screen Time ◽  
Social Disadvantage

scholarly journals The Associations between Screen Time and Sleep Duration, and Body Mass Index (BMI) in under Five-Year-Old Children

2018 ◽  
Author(s):  
Hossein Sourtiji ◽  
Mehdi Rassafiani ◽  
Seyed Ali Hosseini ◽  
Mohammad Esmaeil Motlagh ◽  
Mehdi Noroozi
Keyword(s):  
Body Mass Index ◽  
Sleep Duration ◽  
Body Mass ◽  
Screen Time ◽  
Linear Regression Analysis ◽  
Cluster Sampling ◽  
Healthy Children ◽  
Cross Sectional ◽  
Under Five ◽  
Screen Viewing

Today, due to recent developments in technology, children devote plenty of time for screen viewing. However, its harmful effects are not yet clear. The purpose of present study was to examine the associations among screen viewing and sleep duration, and body mass index (BMI) in under-five years old children. This cross-sectional study was conducted with 322 under-five healthy children that were selected using multistage stratified cluster sampling method in 2017. The data that were gathered by time-use diary method were analyzed using Kolmogorov-Smirnov test, Spearman correlation tests, multiple linear regression analysis, one-way ANCOVA, two-way ANCOVA. There was a negative correlation between screen time and sleep duration (rs = -0.42, p = 0.00), positive correlation between screen time and BMI (rs = 0.38, p = 0.00) and sleep duration negatively correlated with BMI (rs = -0.22, p = 0.00). screen viewing was a predictive factor for both sleep duration (β = -0.26, p = 0.00) and BMI (β = -0.26, p = 0.00). screen viewing had a significant impact on sleep duration (4, 314) = 5.02, P = 0.001) and BMI (F (4, 314) = 1.16, P=0.298). Results of this study indicated that screen viewing is related to sleep duration and BMI in under-five children. furthermore, screen time has an impact on sleep duration and BMI scores of children. findings of our study suggest that sleep duration negatively is associated with BMI in under-five-year-old children.

Excessive Screen Time and Psychosocial Well-Being: The Mediating Role of Body Mass Index, Sleep Duration, and Parent-Child Interaction

2018 ◽  
Vol 202 ◽  
pp. 157-162.e1 ◽  
Author(s):  
Jin Zhao ◽  
Yunting Zhang ◽  
Fan Jiang ◽  
Patrick Ip ◽  
Frederick Ka Wing Ho ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Sleep Duration ◽  
Body Mass ◽  
Screen Time ◽  
Well Being ◽  
Mediating Role ◽  
Child Interaction ◽  
Parent Child Interaction ◽  
Parent Child

scholarly journals Medical students’ physical activity as an indicator of their commitment to healthy lifestyle

2021 ◽  
Author(s):  
OV Ievleva
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Medical Students ◽  
Body Mass ◽  
Screen Time ◽  
Healthy Lifestyle ◽  
Correlation Coefficients ◽  
Biomedical Ethics ◽  
Steps Per Day ◽  
The Relationship

Physicians, who provide general medical services, should give the patients an advice on physical activity. The study was aimed to assess physical activity of medical students, as well as their awareness of this issue, and willingness to provide the public an advice on commitment to a healthy lifestyle in terms of physical activity. A total of 518 medical students were surveyed. The data obtained with the Steps and Screen Time mobile applications were used. Physical fitness was assessed using the standard anthropometric technique. Statisctical processing of the data obtained was performed with the Statistica 13 PL statistical software package. The study met the requirements of biomedical ethics and posed no risk to participants. No significant differences in the number of steps between males and females was observed. It was 9033±3297 steps in males and 7807±3570 steps in females. The evidence supporting the relationship between physical activity and average time spent on a smartphone per day was obtained: the correlation coefficient for the relationship between the number of steps per day and the screen time was -0.36 (moderate negative correlation). Correlation coefficients for the relationships between body mass index and physical activity (-0.35) and between body mass index and screen time (0.33, moderate positive correlation) were calculated. The data obtained allowed us to develop simple and feasible guidelines on improving physical activity in medical students, as well as to develop a tracker of positive habit of daily optimal physical activity for each student, and to discuss the results within the framework of the business game Physical Activity in Various Sectors of Population.

scholarly journals Body mass index trajectories of Indigenous Australian children and relation to screen time, diet, and demographic factors

Obesity ◽  
2017 ◽  
Vol 25 (4) ◽  
pp. 747-756 ◽  
Author(s):  
Katherine Ann Thurber ◽  
Timothy Dobbins ◽  
Teresa Neeman ◽  
Cathy Banwell ◽  
Emily Banks
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Screen Time ◽  
Demographic Factors ◽  
Indigenous Australian ◽  
Body Mass Index Trajectories

Better health indicators of FitSpirit participants meeting 24-h movement guidelines for Canadian children and youth

2020 ◽  
Author(s):  
Roseane de Fátima Guimarães ◽  
Jo-Anne Gilbert ◽  
Jean Lemoyne ◽  
Marie-Eve Mathieu
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Body Mass ◽  
Self Efficacy ◽  
Screen Time ◽  
Vigorous Physical Activity ◽  
Health Indicators ◽  
Perceived Health ◽  
Online Questionnaire ◽  
Cross Sectional

Summary This study aims to determine the proportion of girls who meet the recommendations for moderate-to-vigorous physical activity (MVPA), screen time and sleep duration among FitSpirit participants and evaluate the associations of these recommendations with perceived health-related quality of life (QOL), perceived health, physical activity (PA), self-efficacy and body mass index. Cross-sectional analyses of FitSpirit data were performed. All variables were collected through an online questionnaire. The proportion of girls meeting all recommendations was 2.2%, while 72.5% met either one or two and 25.4% met none. A greater percentage of girls with ≥3 years in FitSpirit met MVPA and sleep recommendations combined when compared with fewer years (12.9% vs. 1.7% with 1 year; vs. 10.1% with 2 years; p < 0.05). Meeting the combinations of MVPA and screen time (β = 0.19, 95% CI = 0.40, 1.68), MVPA and sleep (β = 0.20, 95% CI = 0.27, 1.04) and all three combined (β = 0.17, 95% CI = 0.33, 1.71) was the most significant predictors of better perceived QOL. Respecting MVPA recommendations predicted a better perceived health (β = 0.18, 95% CI = 0.18, 0.87) while girls who slept as recommended had a better PA-related self-efficacy (β = 0.23, 95% CI = 0.51, 2.11). Not meeting any recommendation was associated with inferior PA-related self-efficacy (β = −0.32, 95% CI = −3.03, −1.21). Lastly, meeting MVPA and sleep recommendations was significantly associated with lower body mass index z-scores (β = −0.14, 95% CI = −1.16, −0.11). There was a small percentage of girls following all of the recommendations. Furthermore, meeting individual and combined recommendations was associated with better perceived QOL and health, PA self-efficacy as well as healthier body mass index z-score.

scholarly journals Rural–urban differences in body mass index and obesity-related behaviors among low-income preschoolers

2020 ◽  
Author(s):  
Dawn A Contreras ◽  
Tiffany L Martoccio ◽  
Holly E Brophy-Herb ◽  
Mildred Horodynski ◽  
Karen E Peterson ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Low Income ◽  
Screen Time ◽  
Urban Areas ◽  
Eating Behaviors ◽  
Structural Changes ◽  
Dietary Quality ◽  
Public Health Issue ◽  
The Usa

Abstract Background With one in eight preschoolers classified as obese in the USA, childhood obesity remains a significant public health issue. This study examined rural–urban differences in low-income preschoolers’ body mass index z-scores (BMIz), eating behaviors, dietary quality, physical activity (PA) and screen time. Methods Pre-intervention data from 572 preschooler-parent dyads participating in a randomized, controlled obesity prevention trial in the Midwest USA were analyzed. We examined the associations among living in rural versus urban areas, child BMIz and child obesity-related behaviors, including eating behaviors, dietary quality, PA and screen time. Results Rural children had higher BMIz, more emotional overeating behaviors and more time spent playing outdoors compared with urban children. We found no associations between children living in rural versus urban areas and dietary quality and screen time. Conclusions The study found that rural–urban differences in BMIz may start as early as 3–4 years of age, if not earlier. To reverse the weight-related health disparities between rural and urban low-income preschoolers, structural changes in rural locations and family supports around coping skills may be needed.

scholarly journals Variation in dietary intake and physical activity pattern as predictors of change in body mass index (BMI) Z-score among Brazilian adolescents*

2013 ◽  
Vol 16 (2) ◽  
pp. 493-501 ◽  
Author(s):  
Carla C. Enes ◽  
Betzabeth Slater
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Food Intake ◽  
Dietary Intake ◽  
Body Mass ◽  
Activity Pattern ◽  
Screen Time ◽  
Z Score ◽  
Physical Activity Pattern ◽  
One Year

Objective: To assess whether changes in dietary intake and physical activity pattern are associated with the annual body mass index (BMI) z-score change among adolescents. Methods: The study was conducted in public schools in the city of Piracicaba, Sao Paulo, Brazil, with a probabilistic sample of 431 adolescents participating in wave I (2004) (hereafter, baseline) and 299 in wave II (2005) (hereafter, follow-up). BMI, usual food intake, physical activity, screen time, sexual maturation and demographic variables were assessed twice. The association between annual change in food intake, physical activity, screen time, and annual BMI z-score changes were assessed by multiple regression. Results: The study showed a positive variation in BMI z-score over one-year. Among variables related to physical activity pattern only playing videogame and using computer increased over the year. The intake of fruits and vegetables and sugar-sweetened beverages increased over one year, while the others variables showed a reduction. An increased consumption of fatty foods (β = 0.04, p = 0.04) and sweetened natural fruit juices (β = 0.05, p = 0.03) was positively associated with the rise in BMI z-score. Conclusions: Unhealthy dietary habits can predict the BMI z-score gain more than the physical activity pattern. The intake of fatty foods and sweetened fruit juices is associated with the BMI z-score over one year.

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