scholarly journals FitKids360: Design, Conduct, and Outcomes of a Stage 2 Pediatric Obesity Program

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Jared M. Tucker ◽  
Joey C. Eisenmann ◽  
Kathleen Howard ◽  
Emily H. Guseman ◽  
Kimbo E. Yee ◽  
...  
Keyword(s):  
Physical Activity ◽  
High Risk ◽  
Screen Time ◽  
Pediatric Obesity ◽  
Healthy Lifestyle ◽  
Low Cost ◽  
Vigorous Physical Activity ◽  
Management Program ◽  
Dietary Behaviors ◽  
Lifestyle Behaviors

This paper describes FitKids360, a stage 2 pediatric weight management program. FitKids360 is a physician-referred, multicomponent, low-cost healthy lifestyle program for overweight and obese youth 5–16 years of age and their families. FitKids360 provides an evidence-based approach to the treatment of pediatric overweight by targeting patients’ physical activity, screen time, and dietary behaviors using a family-centered approach. The intervention begins with a two-hour orientation and assessment period followed by six weekly sessions. Assessments include lifestyle behaviors, anthropometry, and the Family Nutrition and Physical Activity (FNPA) survey, which screens for obesogenic risk factors in the home environment. Outcomes are presented from 258 patients who completed one of 33 FitKids360 classes. After completing FitKids360, patients increased moderate to vigorous physical activity by 14 minutes (P=0.019), reduced screen time by 44 minutes (P<0.001), and improved key dietary behaviors. Overall, FNPA scores increased by 9% (P<0.001) and 69% of patients with “high risk” FNPA scores at baseline dropped below the “high risk” range by followup. Patients also lowered BMIs (P=0.011) and age- and sex-adjusted BMIz-scores (P<0.001) after completing the 7-week program. We hope this report will be useful to medical and public health professionals seeking to develop stage 2 pediatric obesity programs.

scholarly journals Changes in Physical Activity and Sedentary Behavior in a Randomized Trial of an Internet-Based Versus Workbook-Based Family Intervention Study

2014 ◽  
Vol 11 (2) ◽  
pp. 348-358 ◽  
Author(s):  
Victoria Catenacci ◽  
Christopher Barrett ◽  
Lorraine Odgen ◽  
Ray Browning ◽  
Christine Adele Schaefer ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Screen Time ◽  
Intervention Program ◽  
Sedentary Time ◽  
Healthy Lifestyle ◽  
Vigorous Physical Activity ◽  
Family Intervention ◽  
The Internet ◽  
Sedentary Behaviors

Background:The America on the Move (AOM) Family Intervention Program has been shown to prevent excess weight gain in overweight children. Providing intervention materials via the internet would have the potential to reach more families but may increase sedentary behavior. The purpose was to evaluate whether delivering the AOM Family Intervention via the internet versus printed workbook would have a similar impact on sedentary behaviors in children.Methods:131 children (age 8–12) were randomized to receive the AOM Family Intervention via the internet or workbook for 12 weeks. Changes in objectively measured sedentary time and moderate-to vigorous physical activity (MVPA) as well as self-reported screen time were compared between groups.Results:There were no significant differences between groups in screen time, sedentary time, or MVPA at the end of the 12 week intervention. Families receiving the intervention via the internet were more likely to remain in the study (98% vs. 82%, P = .016).Conclusions:Using the internet to deliver the lifestyle intervention did not increase sedentary behavior in children. Attrition rates were lower when the program was delivered by internet versus via printed materials. These results provide support for using the internet to deliver healthy lifestyle programs for children.

scholarly journals Clustering of multiple lifestyle behaviors among migrant, left-behind and local adolescents in China: a cross-sectional study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Li He ◽  
Xiaoyan Li ◽  
Weidong Wang ◽  
Youfa Wang ◽  
Haiyan Qu ◽  
...  
Keyword(s):  
Physical Activity ◽  
High Risk ◽  
Vegetable Consumption ◽  
Vigorous Physical Activity ◽  
Low Risk ◽  
Lifestyle Behaviors ◽  
Migrant Status ◽  
Moderate Risk ◽  
Cross Sectional ◽  
Left Behind

Abstract Background Influence of migration on externalized behavioral problems (e.g., aggressive) among adolescents has been well assessed, yet lifestyle behaviors of migrant, left-behind and local adolescents have been largely overlooked by researchers and policy-makers. Therefore, this study aimed to identify clustering of multiple lifestyle behaviors and their associations with migrant status among Chinese adolescents. Methods A cross-sectional survey was conducted in 2015 in Beijing, and Wuhu city (Anhui province). Adolescents self-reported age, gender, family economic status, migrant situation, and lifestyle behaviors (i.e., physical activity, screen time, sleep, smoke, soft-drink, alcohol, fruit and vegetable consumption) via a battery of validated questionnaires. Latent class analysis was conducted to identify behavioral clusters using Mplus 7.1. ANOVA, and multivariable logistic regression were used to examine associations between migrant situations and behavioral clusters using SPSS 22. Results Three distinct behavioral clusters were exhibited among 1364 students (mean age: 13.41 ± 0.84 years): “low risk” (N = 847), “moderate risk” (N = 412) and “high risk” (N = 105). The “high-risk” cluster had the highest prevalence of adolescents not meeting healthy behavioral recommendations. There were no significant differences in the prevalence of high-risk lifestyle among migrant, left-behind, rural local and urban local adolescents. But migrant adolescents had the lowest prevalence of low-risk lifestyle, followed by left-behind, rural and urban local adolescents. Moreover, compared with urban local, migrant (OR = 2.72, 95%CI: 1.88,3.94), left-behind (OR = 2.28, 95%CI: 1.46, 3.55), and rural local (OR = 1.76, 95%CI:1.03,3.01) adolescents had a higher risk of moderate-risk lifestyle. Conclusions Clustering of assessed lifestyle behaviors differed by the migrant status. Particularly, migrant and left-behind adolescents were more likely to have moderate-risk lifestyle compared with their counterparts. Interventions that promote moderate to vigorous physical activity and consumption of fruits and vegetables simultaneously are needed among them.

scholarly journals Association of screen time with physical activity and BMI in middle school children at Tamil Nadu, India

2019 ◽  
Vol 7 (1) ◽  
pp. 78
Author(s):  
S. Santha Kumar ◽  
S. Alph Shirley
Keyword(s):  
Physical Activity ◽  
Middle School ◽  
School Children ◽  
Screen Time ◽  
Tamil Nadu ◽  
Healthy Lifestyle ◽  
Vigorous Physical Activity ◽  
Age Group ◽  
Middle School Children ◽  
Cross Sectional

Background: The objective of this study was to find the association of screen time with physical activity and BMI in middle school children in the age group of 11 to 13 years in Tamil Nadu, India.Methods: This cross-sectional observational study was conducted among 139 middle school children aged 11 to 13 years at the state of Tamil Nadu, India from June 2019 to August 2019. Data regarding screen time and physical activity were collected from the children using a predesigned questionnaire and anthropometric measurements done. The data collected were analyzed with suitable statistical methods using SPSS 25 software.Results: Of the 139 children, 46(33.1%) were 11 years, 48(34.5%) were 12 years and 45(32.4%) were 13 years old. 74(53.2%) were male and 65(46.8%) were female. Majority of the study subjects (52.5%) had an average daily screen time of >120 minutes followed by 61 to 120 minutes (28.8%) and ≤60 minutes (18.7%). Of the 139 children studied, only 31.7% (44 children) followed the WHO recommendations of moderate to vigorous physical activity of at least 60 minutes per day, 57.5% of the children had normal BMI, 10.8 % had thinness, 25.2% were overweight and 6.5% were obese. Physical activity was found to decrease with increasing screen time, and this was found to be statistically significant. No statistically significant correlation between screen time and BMI was found. There was statistically significant correlation between physical activity and BMI.Conclusions: There is a significant correlation of screen time with physical activity in this study. Urgent measures need to be taken to decrease screen time and promote a healthy lifestyle.

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 Association of sleep, screen time and physical activity with overweight and obesity in Mexico

2019 ◽  
Author(s):  
Spyros Kolovos ◽  
Aura Cecilia Jimenez-Moreno ◽  
Rafael Pinedo-Villanueva ◽  
Sophie Cassidy ◽  
Gerardo A. Zavala
Keyword(s):  
Physical Activity ◽  
Sleep Duration ◽  
Screen Time ◽  
Vigorous Physical Activity ◽  
Normal Weight ◽  
Overweight And Obesity ◽  
Moderate Physical Activity ◽  
Lifestyle Behaviors ◽  
Unhealthy Lifestyle ◽  
Level Of Evidence

Abstract Purpose Approximately 70% of adults in Mexico are overweight or obese. Unhealthy lifestyle behaviors are also prevalent. We examined the association of three lifestyle behaviors with body mass index (BMI) categories in adults from Mexico. Methods We used publicly available data from the ENSANUT 2016 survey (n = 6419). BMI was used to categorize participants. Differences in sleep duration, suffering from symptoms of insomnia, TV watching time, time in front of any screen, vigorous physical activity (yes vs no), moderate physical activity (> 30 min/day—yes vs. no) and walking (> 60 min/day—yes vs. no) were compared across BMI groups using adjusted linear and logistic regression analyses. Results Thirty-nine percent of participants were overweight and 37% obese. Time in front of TV, in front of any screen, sleep duration and physical activity were significantly associated with overweight and obesity. Compared to normal weight participants, participants in the obese II category spend on average 0.60 h/day (95% CI 0.36–0.84, p = 0.001) and participants in the obese III category 0.54 h/day (95% CI 0.19–0.89, p < 0.001) more in front of any screen; participants in the obese II category reported 0.55 h/day less sleep (95% CI − 0.67 to − 0.43, p < 0.001); participants in the obese III category were less likely to engage in vigorous activity (OR = 0.60, 95% CI 0.43–0.84, p ≤ 0.003), or walking (OR = 0.65, 95% CI 0.49–0.88, p = 0.005). Conclusion Screen time, sleeping hours, and physical activity were associated with overweight and obesity. However, these associations were not consistent across all BMI categories. Assuming established causal connections, overweight individuals and individuals with obesity would benefit from reduced screen time and engaging in moderate/vigorous physical activity. Level of evidence Level III: observational case-control analytic study.

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 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 Less screen time and more frequent vigorous physical activity is associated with lower risk of reporting negative mental health symptoms among Icelandic adolescents

PLoS ONE ◽  
2018 ◽  
Vol 13 (4) ◽  
pp. e0196286 ◽  
Author(s):  
Soffia M. Hrafnkelsdottir ◽  
Robert J. Brychta ◽  
Vaka Rognvaldsdottir ◽  
Sunna Gestsdottir ◽  
Kong Y. Chen ◽  
...  
Keyword(s):  
Mental Health ◽  
Physical Activity ◽  
Screen Time ◽  
Lower Risk ◽  
Vigorous Physical Activity ◽  
Mental Health Symptoms ◽  
Health Symptoms

scholarly journals Can wearable technology be used to approximate cardiopulmonary exercise testing metrics?

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Laura Jones ◽  
Laura Tan ◽  
Suzanne Carey-Jones ◽  
Nathan Riddell ◽  
Richard Davies ◽  
...  
Keyword(s):  
Physical Activity ◽  
High Risk ◽  
Oxygen Uptake ◽  
Anaerobic Threshold ◽  
Exercise Testing ◽  
Low Cost ◽  
Cardiopulmonary Exercise Testing ◽  
Peak Oxygen Uptake ◽  
Wearable Device ◽  
Cardiopulmonary Exercise

Abstract Background Consumer wrist-worn wearable activity monitors are widely available, low cost and are able to provide a direct measurement of several markers of physical activity. Despite this, there is limited data on their use in perioperative risk prediction. We explored whether these wearables could accurately approximate metrics (anaerobic threshold, peak oxygen uptake and peak work) derived using formalised cardiopulmonary exercise testing (CPET) in patients undergoing high-risk surgery. Methods Patients scheduled for major elective intra-abdominal surgery and undergoing CPET were included. Physical activity levels were estimated through direct measures (step count, floors climbed and total distance travelled) obtained through continuous wear of a wrist worn activity monitor (Garmin Vivosmart HR+) for 7 days prior to surgery and self-report through completion of the short International Physical Activity Questionnaire (IPAQ). Correlations and receiver operating characteristic (ROC) curve analysis explored the relationships between parameters provided by CPET and physical activity. Device selection Our choice of consumer wearable device was made to maximise feasibility outcomes for this study. The Garmin Vivosmart HR+ had the longest battery life and best waterproof characteristics of the available low-cost devices. Results Of 55 patients invited to participate, 49 (mean age 65.3 ± 13.6 years; 32 males) were enrolled; 37 provided complete wearable data for analyses and 36 patients provided full IPAQ data. Floors climbed, total steps and total travelled as measured by the wearable device all showed moderate correlation with CPET parameters of peak oxygen uptake (peak VO2) (R = 0.57 (CI 0.29–0.76), R = 0.59 (CI 0.31–0.77) and R = 0.62 (CI 0.35–0.79) respectively), anaerobic threshold (R = 0.37 (CI 0.01–0.64), R = 0.39 (CI 0.04–0.66) and R = 0.42 (CI 0.07–0.68) respectively) and peak work (R = 0.56 (CI 0.27–0.75), R = 0.48 (CI 0.17–0.70) and R = 0.50 (CI 0.2–0.72) respectively). Receiver operator curve (ROC) analysis for direct and self-reported measures of 7-day physical activity could accurately approximate the ventilatory equivalent for carbon dioxide (VE/VCO2) and the anaerobic threshold. The area under these curves was 0.89 for VE/VCO2 and 0.91 for the anaerobic threshold. For peak VO2 and peak work, models fitted using just the wearable data were 0.93 for peak VO2 and 1.00 for peak work. Conclusions Data recorded by the wearable device was able to consistently approximate CPET results, both with and without the addition of patient reported activity measures via IPAQ scores. This highlights the potential utility of wearable devices in formal assessment of physical functioning and suggests they could play a larger role in pre-operative risk assessment. Ethics This study entitled “uSing wearable TEchnology to Predict perioperative high-riSk patient outcomes (STEPS)” gained favourable ethical opinion on 24 January 2017 from the Welsh Research Ethics Committee 3 reference number 17/WA/0006. It was registered on ClinicalTrials.gov with identifier NCT03328039.

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