View clinical trials related to Childhood Obesity.
Filter by:Obesity is increasing rapidly all over the world not only in adults but also among children. As a modifiable component of total energy expenditure (TEE) ,the amount of energy expended during physical activity plays an important role in preventing weight gain. Decreased physical activity, coupled with an over-consumption of calories, lead to the change of body composition by storing energy as fat.Although several studies have simultaneously examined body composition with energy expenditure the independent roles of body composition with activity energy expenditure (AEE) are less firmly established. It's suspected shrewdly that energy expenditure is partly influenced by the body composition. The aim of the study is to examine the relation of AEE with body composition in a population of school-age children.
Children and adolescents with overweight and obesity are predisposed to significant health problems. It is known that childhood obesity can adversely affect almost every organ system, and if left untreated, the major impact of childhood overweight is likely to be felt in the next generation of adults. The aim of " Kijk op overgewicht bij kinderen" is to collect and follow-up longitudinal data from a population of different degrees of children with overweight regarding etiological factors, risk factors and early stages of chronic disease in different degrees of childhood overweight.
Compared to other children, those with disability have additional challenges to being physically active. Prader-Willi Syndrome (PWS) is a genetic form of childhood obesity that is characterized by hypotonia, growth hormone deficiency, behavioral, and cognitive disability. In children, the low prevalence of PWS (1 in 10,000 to 15,000 live births) makes group-based physical activity (PA) interventions impossible. In contrast, the home environment presents a natural venue to establish a PA routine for this population. The present high prevalence of non-syndromal childhood obesity (one in four) and high physical inactivity rates, make alternative approaches to increasing PA in this population an area of high interest. Therefore, we have developed a 24-week home-based physical activity that could be suitable for children and adolescents ages 8-15 with PWS as well as obese children without PWS ages 8-11 years. It is hypothesized that: 1) an age-appropriate 24-week home-based PA intervention will increase PA levels in youth with PWS and without the syndrome but with obesity; 2) motor proficiency, central sensory reception and integration, and body composition will significantly improve in youth with and without PWS following completion of the home-based PA intervention and 3) physical activity self-efficacy and quality of life will increase significantly in youth with and without PWS who complete the home-based PA intervention. The study participants are 115 youth ages 8-15 y (45 with PWS and 70 without PWS but categorized as obese). The study utilizes a parallel design with the wait-listed control group receiving the intervention after serving as control. Participants are expected to complete the PA curriculum 4 days a week for six months including playground games 2 days a week and interactive console games 2 days a week. Parents are trained at baseline and then provided with a PA curriculum (Active Play at Home) and equipment to guide their implementation of the program at home. Measurements of children and parent dyads are assessed at baseline and at the end (week 24) of the intervention or control periods. Outcome measures include PA, body composition, motor proficiency, central sensory reception and integration (subsample of children only), quality of life and physical activity self-efficacy. PA intervention compliance is monitored using mail-in daily self-report checklists.
Methods: This study will be a three-year mixed methods study, including the identification of obesity issues among children with chronic conditions in the first phase study (2013/10/01-2014/07/31), development of an intervention protocol in the second phase study (2014/08/01-2015/07/31), and conduction/evaluation of an intervention of lifestyle intervention in the third phase study (2015/08/01-2016/07/31). Firstly, anthropometry, healthy lifestyles questionnaire survey on children aged 7-12 and school environment audit will be conducted. By using the literature review, meta-analysis and focus-research approaches to develop a healthy lifestyle intervention protocol in the second year program. The protocol will be tested on a sample of school-age children with asthma, to develop a school-based and family-involved healthy lifestyle intervention. Finally, the protocol will be undertaken on children with asthma aged 10-15, by using an experimental (pretest-posttest) design with repeated follow-ups. The research subjects will be randomly assign to condition of receiving intervention or control; the measurement of the outcome across 4 observations, to assess both group differences (experimental comparison), and changes within groups. The interventions consist of healthy diet (X1), regular exercise (X2), and booster energy balance-related behaviors (BEBRB) (X3). The observations start from baseline (O1), then have three observations (O2, O3, O4) at 3-month interval respectively. Outcome indicators include height, body weight, waist circumference as well as healthy life style modification present by diet record, exercise diary, healthy life environments. The research subjects will consist of randomly sampled school-age children and their fathers (or mothers), school teachers and school nurses. The approximate sample size is estimated by power analysis and dropout rate, the eligible sample size will be 200 and 160 pairs of children with their parents, school teachers and nurses in the first and third year respectively.
The purpose of this study is to address priority Research Area 3 in PAR-08-270: Health information technology (HIT) to improve health care decision making through the use of integrated data and knowledge management. The proposed study will evaluate the use of HIT for clinician decision support and tailored patient education on the implementation of the current guidelines for the prevention of obesity-related chronic conditions in health disparity populations of poor, minority youth who access care through SBHCs. The specific aims are: 1. To evaluate the effectiveness of web-based training with and without computerized clinical decision support on provider's process and outcome behaviors related to implementing the current guidelines for prevention of obesity and related conditions. a. Process variables include the following: i. Provider knowledge, attitudes, and barriers to implementing the guidelines. ii. Parent perception of the interpersonal process of care (i.e., provider communication, collaborative decision making, and interpersonal style). iii. Parent perception of provider support for their child's healthy eating and exercise. b. Behavior outcomes include the following: i. Provider self-reported behaviors of identification and assessment of overweight, counseling on nutrition and physical activity, use of behavioral interventions, referrals, and cultural competency. ii. Documentation by chart review of body mass index (BMI) percentile for age and sex; appropriate diagnosis when BMI > 85th percentile; blood pressure (BP) percentile for age, height, and sex; and ordering appropriate laboratory tests when indicated. 2. To explore the role of HIT in the processes of system change for implementation of the guidelines for prevention of obesity and related conditions, including the facilitators, barriers, and impact of the care model on change.
To evaluate the effects of a family-based intervention program intended for parents of pre-school children (4-6 y) with overweight and obesity (according to Cole et al), and to investigate if treatment has an effect on metabolic parameters. In a randomised controlled trial evaluate the three separate family based intervention programs and to investigate if treatment has an effect by correlating the parameters described above with BMI, before and after the intervention program.