Dataset Information

A randomized trial of the effects of reducing television viewing and computer use on body mass index in young children.

ABSTRACT: To assess the effects of reducing television viewing and computer use on children's body mass index (BMI) as a risk factor for the development of overweight in young children.Randomized controlled clinical trial.University children's hospital.Seventy children aged 4 to 7 years whose BMI was at or above the 75th BMI percentile for age and sex.Children were randomized to an intervention to reduce their television viewing and computer use by 50% vs a monitoring control group that did not reduce television viewing or computer use.Age- and sex-standardized BMI (zBMI), television viewing, energy intake, and physical activity were monitored every 6 months during 2 years.Children randomized to the intervention group showed greater reductions in targeted sedentary behavior (P < .001), zBMI (P < .05), and energy intake (P < .05) compared with the monitoring control group. Socioeconomic status moderated zBMI change (P = .01), with the experimental intervention working better among families of low socioeconomic status. Changes in targeted sedentary behavior mediated changes in zBMI (P < .05). The change in television viewing was related to the change in energy intake (P < .001) but not to the change in physical activity (P =.37).Reducing television viewing and computer use may have an important role in preventing obesity and in lowering BMI in young children, and these changes may be related more to changes in energy intake than to changes in physical activity.

SUBMITTER: Epstein LH

PROVIDER: S-EPMC2291289 | biostudies-literature | 2008 Mar

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

A randomized trial of the effects of reducing television viewing and computer use on body mass index in young children.

Epstein Leonard H LH Roemmich James N JN Robinson Jodie L JL Paluch Rocco A RA Winiewicz Dana D DD Fuerch Janene H JH Robinson Thomas N TN

Archives of pediatrics & adolescent medicine 20080301 3

<h4>Objective</h4>To assess the effects of reducing television viewing and computer use on children's body mass index (BMI) as a risk factor for the development of overweight in young children.<h4>Design</h4>Randomized controlled clinical trial.<h4>Setting</h4>University children's hospital.<h4>Participants</h4>Seventy children aged 4 to 7 years whose BMI was at or above the 75th BMI percentile for age and sex.<h4>Interventions</h4>Children were randomized to an intervention to reduce their tele ...[more]

PMID: 18316661

Similar Datasets

Project description:Childhood obesity is one of the biggest public health threats facing the UK, and video game use is considered a risk behavior for obesity among children. However, few studies have explored the prospective association between video game use and body mass index (BMI) or the potential mediators of this association. To investigate whether a longer-term association exists between video game use at a young age and BMI SD score in later years, independent of television use, and to ascertain whether this association is mediated by other energy-balance behaviors. This cohort study is a secondary analysis of data from the Millennium Cohort Study, a nationally representative sample of children who were born in the UK between September 1, 2000, and January 31, 2002, that focused on data collected when the children were aged 5, 7, 11, and 14 years. Data for all variables, except BMI, were provided by parental or caregiver reporting if the children were younger than 14 years of age. At age 14 years, the children self-reported their own behavior. Initial data analysis was conducted between September 18, 2018, and September 28, 2018, with supplementary analyses conducted from October 7, 2019, to November 22, 2019. The main outcome variable was BMI SD scores, with video game use as the exposure variable of interest. Physical activity, bedtime regularity, sugar-sweetened beverage consumption, and high-calorie food consumption were included as potential mediating behaviors. The full sample comprised 16?376 children and had a nearly equal number of boys (8393 [51.3%]) and girls (7983 [48.7%]). Every 1 SD increase in the number of hours of video game use at age 5 years was associated with a ? = 0.018 higher BMI SD score at age 14 years (95% CI, 0.004-0.032). A small partial mediation of this association was found (direct association: ? = 0.017 [95% CI, 0.003-0.031]; indirect association: ? = 0.0011 [95% CI, 0.0003-0.0019]), suggesting that irregular bedtimes and higher consumption of sugar-sweetened beverages were mediators. The mediation model accounted for 36.7% (95% CI, 35.5-37.8) of the variance of the BMI SD score at age 14 years. Results of this study suggest a small (and not clinically meaningful) association between video game use in early childhood and higher BMI in later years, which may be mediated by irregular bedtimes and higher consumption of sugar-sweetened beverages. Future interventions to prevent childhood obesity should incorporate health promotion in mainstream video games to target children most at risk because of their high level of video game use.

Project description:ObjectiveOverweight and obese women may avoid contraceptive methods they believe are associated with weight gain. The objective of this study was to examine the role of weight and weight perception on contraceptive use.Study designUsing cross-sectional data from the MyNewOptions study, we analyzed contraceptive use among 987 privately insured, sexually active women aged 18-40 years. Contraception was categorized into three groups: (1) long-acting reversible contraceptives (LARCs), (2) non-LARC prescription methods and (3) nonprescription methods/no method. Multinomial logistic regression was used to model the effect of body mass index category and weight perception on contraceptive use while controlling for pregnancy intentions, sexual behavior and sociodemographic characteristics.ResultsEighty-three (8.4%) women were using LARCs, 490 (49.6%) women were using non-LARC prescription methods and 414 (42.0%) were using nonprescription methods or no method. In the adjusted multinomial model, overweight [adjusted odds ratio (aOR) 3.84, 95% confidence interval (CI) 1.85-7.98) and obese women (aOR 2.82, 95% CI 1.18-6.72) were significantly more likely to use LARCs compared to normal-weight women. There were greater adjusted odds of overweight and obese women using nonprescription methods/no method compared with non-LARC prescription methods, but this finding did not reach statistical significance. Weight perception was not associated with contraceptive use.ConclusionIn this study sample, overweight and obese women were more likely to use LARCs than normal-weight women. It will be important to further understand how weight influences women and providers' views on contraception in order to better assist women with individualized, patient-centered contraceptive decision making.ImplicationsOverweight and obese women may be reluctant to use contraceptive methods they believe are associated with weight gain (i.e., pills, shot), but how that affects contraceptive use is unclear. Compared with normal-weight women, overweight and obese women in this study were more likely to use LARCs than non-LARC prescription methods.

Dataset Information

A randomized trial of the effects of reducing television viewing and computer use on body mass index in young children.

Publications

A randomized trial of the effects of reducing television viewing and computer use on body mass index in young children.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets