0
We're unable to sign you in at this time. Please try again in a few minutes.
Retry
We were able to sign you in, but your subscription(s) could not be found. Please try again in a few minutes.
Retry
There may be a problem with your account. Please contact the AMA Service Center to resolve this issue.
Contact the AMA Service Center:
Telephone: 1 (800) 262-2350 or 1 (312) 670-7827  *   Email: subscriptions@jamanetwork.com
Error Message ......
Article |

Twelve-Month Outcomes of the Loozit Randomized Controlled Trial:  A Community-Based Healthy Lifestyle Program for Overweight and Obese Adolescents FREE

Binh Nguyen, MNutrDiet; Vanessa A. Shrewsbury, PhD; Janice O’Connor, MNutrDiet; Katharine S. Steinbeck, FRACP, PhD; Anthea Lee, BSc; Andrew J. Hill, CPsychol, PhD; Smita Shah, MCH; Michael R. Kohn, FRACP; Siranda Torvaldsen, PhD; Louise A. Baur, FRACP, PhD
[+] Author Affiliations

Author Affiliations: University of Sydney Clinical School, The Children's Hospital at Westmead (Mss Nguyen, O’Connor, and Lee and Dr Shrewsbury), Academic Department of Adolescent Medicine, University of Sydney, and The Children's Hospital at Westmead (Dr Steinbeck), Primary Health Care Education and Research Unit, Sydney West Area Health Service (Dr Shah), Department of Adolescent Medicine, The Children's Hospital at Westmead (Dr Kohn), School of Public Health and Community Medicine, University of New South Wales (Dr Torvaldsen), and Discipline of Paediatrics and Child Health, University of Sydney, and The Children's Hospital at Westmead (Dr Baur), Westmead, New South Wales, Australia; and Academic Unit of Psychiatry and Behavioural Sciences, Institute of Health Sciences, Leeds University School of Medicine, Leeds, England (Dr Hill).


Arch Pediatr Adolesc Med. 2012;166(2):170-177. doi:10.1001/archpediatrics.2011.841.
Text Size: A A A
Published online

Objectives To assess the outcomes of the Loozit adolescent weight management intervention and to evaluate the effect of additional therapeutic contact 12 months into the program.

Design A 24-month, 2-arm randomized controlled trial. Results at 12 months are presented.

Setting Community health center and children's hospital in Sydney, Australia.

Participants A total of 151 overweight or obese 13- to 16-year-olds.

Intervention In the first 2 months (phase 1), participants received 7 adolescent and parent weekly sessions focused on lifestyle modification. From 2 to 24 months (phase 2), adolescents attended booster sessions once every 3 months. During phase 2, adolescents randomized to the additional therapeutic contact arm also received telephone coaching and electronic communications once every 2 weeks.

Outcome Measures Baseline to 12-month changes in body mass index z score and waist to height ratio (primary outcomes) and changes in metabolic, psychosocial, and behavioral variables.

Results Of 151 randomized adolescents, 82.1% completed 12-month follow-up. Intent-to-treat analyses showed significant reductions in mean body mass index z score (−0.09; 95% CI, −0.12 to −0.06), waist to height ratio (−0.02; 95% CI, −0.03 to −0.01), total cholesterol level (−4 mg/dL; 95% CI, −8 to 0 mg/dL; to convert to millimoles per liter, multiply by 0.0259), and triglycerides level (geometric mean, −80 mg/dL; 95% CI, −88 to −71 mg/dL; to convert to millimoles per liter, multiply by 0.0113). Most psychosocial outcomes improved, including global self-worth, but there were few dietary, physical activity, or sedentary behavior changes. No difference was found in primary outcomes between participants who did or did not receive additional therapeutic contact.

Conclusions The Loozit randomized controlled trial produced a significant but modest reduction in body mass index z score and improved psychosocial outcomes at 12 months. Supplementary telephone and electronic contact provided no additional benefit at 12 months.

Trial Registration anzctr.org.au Identifier: 12606000175572

Figures in this Article

Obesity in adolescence is a major public health problem.1 Although effective primary prevention of obesity in this age group is important, so too is the development of effective interventions for treating obese adolescents across a variety of health care settings.

Behavioral family lifestyle interventions can lead to clinically significant overweight reduction in both children and adolescents.2 However, most published interventions have involved intensive clinical programs provided in tertiary care settings, with few lifestyle studies conducted in adolescents.2 Few studies have investigated less resource-intensive treatment programs in community care settings, reported long-term health outcomes, or examined strategies for the long-term maintenance of positive weight management outcomes. Hence, there is currently limited evidence on clinically effective, long-term weight management interventions that are sustainable in community settings, where most overweight and obese adolescents should be treated.

The Loozit weight management program was developed as a low-intensity, behavioral family lifestyle intervention that is potentially sustainable in a community setting.3 The 24-month intervention involves an initial, more intense 2-month treatment phase, followed by a 22-month maintenance phase during which adolescents in one study arm receive additional therapeutic contact (ATC) via telephone coaching and electronic communications. Although interactive electronic interventions appear to be a promising approach for the management of pediatric obesity, few high-quality studies4 have investigated long-term outcomes. To our knowledge, the Loozit study is the first randomized controlled trial (RCT) of a sustainable, community-based adolescent weight management intervention examining long-term outcomes and evaluating the effect of ATC.

The short-term (2-month) outcomes of the Loozit study showed stabilization of overweight and improvements in several metabolic, psychological, and behavioral outcomes.5 The aims of this article are, first, to evaluate the effectiveness of the Loozit adolescent weight management program and, second, to compare the effect of ATC provided as an adjunct to the Loozit group program 12 months into the program.

STUDY DESIGN

The Loozit RCT is a 2-arm, community-based lifestyle intervention for overweight to moderately obese 13- to 16-year-olds. The study was conducted at a local community health center and an affiliated children's hospital in Sydney, Australia. The full RCT protocol has been published elsewhere.3 This study is registered with the Australian New Zealand Clinical Trials Registry (No. 12606000175572) and has been approved by the Human Research Ethics Committees of The Children's Hospital at Westmead, Sydney West Area Health Service, and the University of Sydney.

STUDY PARTICIPANTS

From April 2006 to June 2009, adolescents were recruited mainly through the media, schools, health professionals, and community organizations. Details of the recruitment process have been published elsewhere.6

In brief, eligibility criteria for adolescents were overweight to moderately obese (ie, body mass index [BMI; calculated as weight in kilograms divided by height in meters squared] z score range, 1.0-2.5) but otherwise healthy, age of 13 to 16 years, available to attend the initial group sessions with one of their parents or caregivers on specified days, and ability to access a landline telephone and e-mail and/or a mobile telephone. Eligibility was assessed over the telephone and confirmed at a face-to-face appointment. Written informed consent was obtained from eligible adolescents and one of their parents or caregivers.

Computer-generated randomization sequences stratified by sex, age group (13-14 years or 15-16 years), and intervention site were provided by the study hospital's Clinical Epidemiology Unit staff. Allocation to either the Loozit group program or Loozit group program plus ATC was concealed in sequentially numbered opaque envelopes prepared by the trial manager and revealed once informed written consent was obtained.

INTERVENTION

The Loozit group program adheres to Australian clinical practice guidelines for the management of child and adolescent overweight and obesity7 in its healthy lifestyle recommendations and is based on a cognitive behavioral approach.8 The 24-month intervention consists of an intensive treatment phase followed by a longer maintenance phase. In phase 1 (baseline to 2 months), participants receive the Loozit group program, which involves seven 75-minute weekly group sessions held separately for adolescents and their parents or caregivers. In phase 2 (2-24 months), adolescents continue to attend booster group sessions approximately once every 3 months during each school term (in total, seven 60-minute sessions, including 2 outcome assessment sessions held at 12 and 24 months). All sessions are facilitated by trained dietitians. In addition, adolescents in one study arm (Loozit and ATC) receive ATC during phase 2 approximately once every 2 weeks in the form of telephone coaching, e-mails, and/or short message service text messages (total of 32 electronic messages and 14 telephone coaching sessions). A detailed description of the group sessions and ATC received is provided elsewhere.3,9

OUTCOME MEASURES

Outcome measures were assessed at baseline, 2 months (completion of phase 1), and 12 months (almost midway through phase 2) after baseline. This article focuses on the 12-month outcomes. The results of the phase 1 study (baseline to 2 months) have been previously published,5 and the collection of 24-month follow-up data (completion of phase 2) is still under way.

Primary outcomes are baseline to 12-month changes in BMI z score and waist to height ratio. Secondary outcomes include parallel changes in metabolic and self-reported psychosocial and behavioral variables. Any adverse events observed or reported during the study were documented.

Anthropometry

Trained, masked assessors measured height, weight, waist circumference, and blood pressure using standard procedures and calibrated equipment.3 The BMI z scores were calculated based on age- and sex-specific reference values.10

Metabolic Profile

Fasting blood samples were collected at a nationally accredited external pathology laboratory and analyzed for cholesterol (total, high-density lipoprotein, and low-density lipoprotein), triglycerides, glucose, insulin, and alanine aminotransferase levels.

Psychosocial Factors

Participants completed several questionnaires measuring psychosocial well-being. The Mental Health Inventory 5 (5 indicating most favorable health and 30 indicating least favorable health), a 5-question mental health assessment component of the Medical Outcomes Study 36-Item Short-Form Health Survey, was used to assess quality of life.11 Participants selected current perceived body shape and ideal body shape from sex-specific, 9-figure scales ranging from thin to fat body shapes (scoring, 1-9), with body dissatisfaction being the difference between the 2 selected shapes. The MacArthur Scale of Subjective Social Status, adapted from a 10-point vertical ladder scale (1 indicating extremely low and 10 indicating extremely high), was used to evaluate social acceptance with adolescent peers.12 The 45-item Harter Self Perception Profile for Adolescents provided a measure of global self-worth (1 indicating low and 4 indicating high) and perceived mean competence in 8 domains (scholastic, social acceptance, athletic, physical appearance, job, romantic appeal, close friendship, and behavioral conduct).13 The importance attributed to each domain was also measured using a 16-item scale.

Lifestyle Behaviors

Dietary intake was assessed from a 15-item food frequency questionnaire,14 which featured additional questions on eating behaviors that were used for an Australian study15 of adolescent dietary intake. Responses were categorized into dichotomous variables to indicate whether adolescents met Australian dietary recommendations.16

Physical activity and sedentary behaviors were measured with the Children's Leisure Activities Study Survey.17 Time spent in total physical activity (the sum of 42 activities) and at various intensity levels (light, moderate, and vigorous)18,19 was calculated. Sedentary leisure activities (total of 13 activities) were classified as screen and non–screen based. Participants whose sedentary leisure activity time exceeded 72 hours per week were excluded according to established protocols.20

SAMPLE SIZE

It was estimated that a sample of 128 adolescents (ie, 64 in each study arm) would ensure 80% power to detect a 0.4-unit difference in mean change of BMI z score from baseline to 2, 12, and 24 months after baseline in the 2 intervention groups (2-group t test = 0.05, 2-tailed significance). We aimed to enroll a total of 168 adolescents to account for a potential 30% study dropout rate. However, recruitment of adolescents to the trial was challenging,6 and prolonged recruitment efforts led to funding constraints.

STATISTICAL ANALYSIS

Data were analyzed using SPSS statistical software for Windows, version 19 (SPSS, Inc). Consistent with an intent-to-treat approach, all available data for participants as originally randomly assigned were retained. For most outcome variables, linear mixed models with an unstructured covariance structure were used to test for the effects of time (as repeated factor; treated as categorical with levels: baseline, 2 months, and 12 months) and group. A similar analysis was performed for variables that were not normally distributed after log transformation. For dichotomized dietary variables, generalized estimating equation models with a binomial distribution and an unstructured covariance structure were used to test for the effects of time and group. Group × time interactions were included in both types of models if fixed effects were significant. The least significant difference method was used for post hoc comparisons. Base models were adjusted for additional significant effects of sex and baseline age (treated as continuous and covariate factors).

Potential baseline differences were examined between participants who completed the first 12 months of the study (completers) and those who withdrew from the intervention (withdrawals) before 12 months; participants with 12-month follow-up anthropometric data and those with missing data (including withdrawals); and participants who attended 70% or more of phase 1 group sessions (high phase 1 attenders) and those who attended less than 70% of phase 1 group sessions (low phase 1 attenders). Differences were examined using independent sample t tests for normally distributed continuous data, Mann-Whitney tests for nonnormally distributed continuous data, and χ2 tests for categorical data.

In addition, to identify characteristics of participants with better primary outcomes, participants with 12-month anthropometry were divided into 3 categories based on BMI z score change from baseline to 12 months: 5% or greater reduction (weight loss), between 0% or greater and less than 5% reduction (weight maintenance), and greater than 0% increase (weight gain). The 3 subgroups were compared in all outcome variables at baseline and 2 months using analysis of variance and the Tukey post hoc comparison test for continuous data or χ2 tests for categorical data.

A linear mixed-model analysis was also conducted to evaluate the effects of participants' phase 1 attendance (added as a fixed factor to base models; treated as categorical) on anthropometric and metabolic outcomes at 12 months.

Baseline anthropometric and metabolic characteristics are presented as mean (SD). Mean changes and differences derived from linear mixed models are presented with 95% CIs. Data that were log transformed are presented as back transformed data. Findings from binomial generalized estimating equation models are presented as odds ratios (ORs) with 95% CIs. Statistical significance was accepted at a level of P < .05.

PARTICIPANT BASELINE CHARACTERISTICS

The Figure shows participant flow in the study up to 12-month follow-up. Of 474 inquiries, 78 and 73 eligible adolescents were randomized to the Loozit only and Loozit and ATC intervention arms, respectively. Of these randomized participants, 60 (76.9%) and 64 (87.7%) completed the first 12 months of the study (ie, completers, not formal withdrawals), whereas 50 participants (64.1%) in the Loozit only arm and 57 participants (78.1%) in the Loozit and ATC arms had 12-month anthropometric assessments. No significant differences were found between 12-month completers (n = 124) and withdrawals (n = 27) in baseline demographic or anthropometric characteristics. Of participants without anthropometric follow-up at 12 months (n = 44), half had mothers with a university degree compared with a third of participants with follow-up data (n = 107); no significant differences were found in other baseline demographic characteristics or anthropometric variables. No adverse events were observed.

Place holder to copy figure label and caption
Graphic Jump Location

Figure. Flow of participants through the Loozit randomized controlled trial from baseline to 12 months. Additional therapeutic contact (ATC) commences in phase 2.

The demographic characteristics and pubertal stage of adolescents enrolled in the study have been reported previously.3Table 1 reports the baseline anthropometric and metabolic characteristics of study participants (151 [48.3%] male). No differences were found between study arms in baseline demographic, anthropometric, or metabolic characteristics.

Table Graphic Jump LocationTable 1. Baseline Anthropometric and Metabolic Characteristics of Participants Enrolled in the Loozit Studya
ANTHROPOMETRIC AND METABOLIC OUTCOMES

Table 2 lists the mean values for anthropometric and metabolic outcomes at baseline and 12 months in individual treatment groups and differences in outcomes by treatment group and time. Significant time effects were found for several variables, including mean reductions from baseline to 12 months in BMI z score (−0.09; 95% CI, −0.12 to −0.06; P < .001), waist to height ratio (−0.02; 95% CI, −0.03 to −0.01; P = .001), total cholesterol level (−4 mg/dL; 95% CI, −8 to 0 mg/dL; to convert to millimoles per liter, multiply by 0.0259; P = .02), and triglycerides level (geometric mean, −80 mg/dL; 95% CI, −88 to −71 mg/dL; to convert to millimoles per liter, multiply by 0.0113; P = .01).

Table Graphic Jump LocationTable 2. Anthropometric and Metabolic Measurements and Differences in Outcomes by Treatment Group and Time

Of the 107 participants with 12-month anthropometric follow-up, 40.2% reduced their BMI z score by 5% or more and 25.2% by at least 10%. Mostly no group effects were found for anthropometric and metabolic variables, except for systolic blood pressure, which was higher in the Loozit and ATC group compared with the Loozit only group at each time point (group difference, 3 mm Hg; 95% CI, 0 to 6 mm Hg; P = .048). No significant group × time interactions were observed at 12 months. Adjusting for sex and age at baseline did not change anthropometric and metabolic outcomes at 12 months.

PSYCHOSOCIAL OUTCOMES

Significant time effects were found at 12 months from baseline with improvements in Mental Health Inventory 5 score (−0.97; 95% CI, −1.72 to −0.22; P = .01), body shape dissatisfaction (−0.56; 95% CI, −0.74 to −0.38; P < .001), subjective social status (0.89; 95% CI, 0.48 to 1.31; P < .001), global self-worth (0.21; 95% CI, 0.10 to 0.32; P < .001), and most other self-perception domains (Table 3). Except for lower scholastic competence in the Loozit and ATC group compared with the Loozit only group at each time point (group difference, −0.21; 95% CI, −0.42 to 0.00; P = .049), no group differences were found in any of the psychosocial outcomes. The only significant group × time interaction was an increase in social acceptance in the Loozit and ATC group at 12 months.

Table Graphic Jump LocationTable 3. Psychosocial Measurements and Differences in Outcomes by Treatment Group and Time
BEHAVIORAL OUTCOMES

At 12 months, participants reported less frequent consumption of high-fat meat products (OR, 0.34; 95% CI, 0.21 to 0.54), potato crisps (OR, 0.55; 95% CI, 0.32 to 0.94), and lunch (OR, 0.64; 95% CI, 0.41 to 1.00). Significant time effects were also found at 12 months in reported time spent in front of screens (geometric mean, −0.8 hours; 95% CI, −1.0 to −0.7 hours; P = .045), including watching television (geometric mean, −0.8 hour; 95% CI, −1.0 to −0.7 hours; P = .02). However, no time effects for other behavioral outcomes at 12 months and no differences between groups or significant group × time interactions were found. Behavioral outcomes at 12 months did not change after adjusting for sex and age at baseline.

ADDITIONAL ANALYSES
BMI z Score Change

Participants with 12-month anthropometric data (n = 107) were grouped into 3 categories based on BMI z score change from baseline to 12 months: 5% or greater reduction (n = 43), between 0% or greater and less than 5% reduction (n = 28), and any increase (n = 36). Compared with the 2 other subgroups, participants with 5% or greater BMI z score reduction reported higher body image satisfaction at baseline. Compared with the subgroup with an increase in BMI z score, participants with a 5% or greater BMI z score reduction also had lower weight, waist size, and waist to height ratios at 2 months. No differences were found between subgroups in baseline age, sex, or other outcome variables at baseline or 2 months.

Phase 1 Attendance

Of enrolled adolescents, 124 (82.1%) attended 70% or more of phase 1 group sessions (high phase 1 attenders). Approximately half of these had fathers born in Australia compared with a third of participants with lower attendance (low phase 1 attenders) (P = .04); no differences were found in other baseline demographic and anthropometric variables. Adjusting for phase 1 attendance did not change anthropometric and metabolic outcomes at 12 months.

The Loozit community-based group lifestyle intervention provides significant, albeit modest, improvements in primary weight outcomes (BMI z score and waist to height ratio) and several psychosocial outcomes at 12-month follow-up. Additional telephone and electronic contact did not provide further benefits as an adjunct to the Loozit group program at 12 months.

To our knowledge, the Loozit RCT is the first adolescent weight management intervention to investigate long-term outcomes of a sustainable, community-based lifestyle intervention with extended therapeutic support. The reductions in weight outcomes at 12 months are of somewhat smaller magnitude than higher-intensity, family-based behavioral lifestyle interventions in adolescents.2,21

In a 2009 Cochrane review of lifestyle RCTs for the treatment of obesity, 2 behavioral interventions for adolescents showed significant reductions in BMI z scores after 6 months of treatment that were sustained at 12-month follow-up (pooled effect size, −0.14; 95% CI, −0.18 to −0.10).2 Comparable BMI z score reductions were reported at 12 months after an intensive, 16-week behavioral weight intervention in 13- to 16-year-olds combined with supervised aerobic exercise or peer-enhanced adventure therapy.21

Apart from relatively high perceived social acceptance, close friendship, and job competence (Harter score ≥3) at baseline, perceived competencies and body image scores of Loozit participants are comparable to those observed in community samples of obese children and adolescents.22,23 Most important, the small but positive psychosocial outcomes in the Loozit RCT highlight the safety and lack of evidence for psychological harm of the intervention 12 months into the program.

There is limited evidence regarding the most effective modalities for sustaining long-term weight outcomes.2 Interactive electronic interventions have the potential to engage youth, provide immediate and tailored feedback, and be cost-effective.24 Although ATC did not provide further benefits at 12 months, it is possible that the intervention was too mild or that full benefits will only be captured at 24 months. Further research is needed to investigate the effectiveness and best application of different modes of electronic communication, with consideration of optimal intervention dose, user preferences, and engagement.4

The strengths of this study include its randomized controlled design, the recruitment of an adequate sample size, the relatively high attendance and retention rates, the use of comprehensive statistical analyses with an intent-to-treat approach, adjustment for potential confounders, and the reporting of long-term weight management outcomes. The interpretation of the study's findings may be limited by the absence of a “no treatment” control group. However, withholding treatment of overweight adolescents seeking to participate in this intervention was considered unethical given that pediatric lifestyle interventions for treating obesity are superior to control conditions.2 Another limitation of the study is reliance on self-reported behavioral data. Even if participants did not fully assimilate reported positive behaviors, improvements in these behaviors demonstrate increased knowledge about healthy lifestyle behaviors. Potential bias introduced by dropouts and missing data appears minimal.

The Loozit program was developed by experienced health care professionals as an evidence-based, behavioral family lifestyle intervention that includes long-term weight management support. Participation in the Loozit RCT appears promising in improving primary weight outcomes and several measures of psychosocial well-being at 12-month follow-up. The effect of the intervention will be fully evaluated at 24 months. These findings highlight the potential benefits of a low-intensity weight management program targeted at adolescents that is sustainable in community settings.

Correspondence: Louise A. Baur, FRACP, PhD, Discipline of Paediatrics and Child Health, The Children's Hospital at Westmead, University of Sydney, Locked Bag 4001, Westmead NSW 2145, Australia (louiseb3@chw.edu.au).

Accepted for Publication: August 1, 2011.

Author Contributions:Study concept and design: O’Connor, Steinbeck, Hill, Shah, Kohn, Torvaldsen, and Baur. Acquisition of data: Nguyen, Shrewsbury, O’Connor, Steinbeck, Lee, and Kohn. Analysis and interpretation of data: Nguyen, Steinbeck, Hill, Torvaldsen, and Baur. Drafting of the manuscript: Nguyen, Steinbeck, Lee, Hill, and Baur. Critical revision of the manuscript for important intellectual content: Nguyen, Shrewsbury, O’Connor, Steinbeck, Hill, Shah, Kohn, Torvaldsen, and Baur. Statistical analysis: Shrewsbury and Torvaldsen. Obtained funding: O’Connor, Steinbeck, Hill, Kohn, and Baur. Administrative, technical, and material support: Nguyen, Shrewsbury, O’Connor, Lee, Shah, and Baur. Study supervision: Steinbeck, Hill, and Baur.

Financial Disclosure: None reported.

Funding/Support: The Loozit RCT is funded by a University of Sydney Research & Development Grant (2006), a bequest of the estate of the late R. T. Hall (2006-2008), Macquarie Bank Foundation (2006-2008), Financial Markets Foundation for Children (2007-2008), and the Heart Foundation of Australia Grant-in-Aid (2009-2010). Dr Shrewsbury is supported by National Health and Medical Research Council Biomedical Postgraduate Scholarship 505009.

Disclaimer: The funding bodies did not have any input into the design and conduct of the study; the collection, management, analysis, and interpretation of the data; and the preparation, review, or approval of the original manuscript.

Additional Contributions: We thank the participating adolescents and their parents and caregivers. The Children's Hospital at Westmead Public Relations Department and local schools assisted with recruitment. Jennifer Peat, PhD, and Federica Barzi, PhD, of the Clinical Epidemiology Unit, The Children's Hospital at Westmead, provided statistical advice. Kate Stevenson, BNutr, Kristy McGregor, BNutr, Michele Casey, BNurs, Susie Burrell, BSc, Kerryn Chisholm, MNutrDiet, Genevieve Dwyer, PhD, and Jessica Finlay, BSportSci, contributed to the development of the study materials.

Wang Y, Lobstein T. Worldwide trends in childhood overweight and obesity.  Int J Pediatr Obes. 2006;1(1):11-25
PubMed   |  Link to Article
Oude Luttikhuis H, Baur L, Jansen H,  et al.  Interventions for treating obesity in children.  Cochrane Database Syst Rev. 2009;1(1):CD001872
PubMed
Shrewsbury VA, O’Connor J, Steinbeck KS,  et al.  A randomised controlled trial of a community-based healthy lifestyle program for overweight and obese adolescents: the Loozit study protocol.  BMC Public Health. 2009;9:119
PubMed  |  Link to Article   |  Link to Article
Nguyen B, Kornman KP, Baur LA. A review of electronic interventions for prevention and treatment of overweight and obesity in young people.  Obes Rev. 2011;12(5):e298-e314
PubMed   |  Link to Article
Shrewsbury VA, Nguyen B, O’Connor J,  et al.  Short-term outcomes of community-based adolescent weight management: The Loozit ® Study.  BMC Pediatr. 2011;11:13
PubMed  |  Link to Article   |  Link to Article
Nguyen B, McGregor KA, O’Connor J,  et al.  Recruitment challenges and recommendations for adolescent obesity trials.  J Paediatr Child HealthIn press
National Health and Medical Research Council.  Clinical Practice Guidelines for the Management of Overweight and Obesity in Children and Adolescents. Canberra: Commonwealth of Australia; 2003
Baranowski T, Perry CL, Parcel GS. How individuals, environments, and health behaviour interact: social cognitive theory. In: Glanz K, Lewis FM, Rimer BK, eds. Health Behavior and Health Education: Theory, Research, and Practice. 2nd ed. San Francisco, CA: Jossey Bass Publishers; 2002:153-175
Kornman KP, Shrewsbury VA, Chou AC,  et al.  Electronic therapeutic contact for adolescent weight management: the Loozit study.  Telemed J E Health. 2010;16(6):678-685
PubMed   |  Link to Article
Kuczmarski RJ, Ogden CL, Grummer-Strawn LM,  et al.  CDC growth charts: United States.  Adv Data. 2000;(314):1-27
PubMed
Berwick DM, Murphy JM, Goldman PA, Ware JE Jr, Barsky AJ, Weinstein MC. Performance of a five-item mental health screening test.  Med Care. 1991;29(2):169-176
PubMed   |  Link to Article
Goodman E, Adler NE, Kawachi I, Frazier AL, Huang B, Colditz GA. Adolescents' perceptions of social status: development and evaluation of a new indicator.  Pediatrics. 2001;108(2):E31
PubMed  |  Link to Article   |  Link to Article
Harter S. Manual for the Self Perception Profile for Adolescents. Denver, CO: University of Denver; 1988
Flood V, Webb K, Rangan A. Recommendations for Short Questions to Assess Food Composition in Children for the NSW Health Surveys. Sydney, Australia: NSW Centre for Public Health Nutrition; 2005
Booth ML, Denney-Wilson E, Okely AD, Hardy LL. Methods of the NSW Schools Physical Activity and Nutrition Survey (SPANS).  J Sci Med Sport. 2005;8(3):284-293
PubMed   |  Link to Article
National Health and Medical Research Council.  Dietary Guidelines for Children and Adolescents in Australia. Canberra: Commonwealth of Australia; 2003
Telford A, Salmon J, Jolley D, Crawford D. Reliability and validity of physical activity questionnaires for children: the Children's Leisure Activities Study Survey (CLASS).  Pediatr Exerc Sci. 2004;16(1):64-78
Ainsworth BE, Haskell WL, Whitt MC,  et al.  Compendium of physical activities: an update of activity codes and MET intensities.  Med Sci Sports Exerc. 2000;32(9):(suppl)  S498-S504
PubMed
Booth ML, Okely AD, Chey TN, Bauman A. The reliability and validity of the Adolescent Physical Activity Recall Questionnaire.  Med Sci Sports Exerc. 2002;34(12):1986-1995
PubMed   |  Link to Article
Australasian Child and Adolescent Obesity Research Network. www://sydney.edu.au/medicine/acaorn/streams/activity/tools-validation/index.php. Accessed August 31, 2010
Jelalian E, Lloyd-Richardson EE, Mehlenbeck RS,  et al.  Behavioral weight control treatment with supervised exercise or peer-enhanced adventure for overweight adolescents.  J Pediatr. 2010;157(6):923-928, e1
PubMed   |  Link to Article
Franklin J, Denyer G, Steinbeck KS, Caterson ID, Hill AJ. Obesity and risk of low self-esteem: a statewide survey of Australian children.  Pediatrics. 2006;118(6):2481-2487
PubMed   |  Link to Article
Walker LLM, Gately PJ, Bewick BM, Hill AJ. Children's weight-loss camps: psychological benefit or jeopardy?  Int J Obes Relat Metab Disord. 2003;27(6):748-754
PubMed   |  Link to Article
Tate DF, ed, Jelalian E, ed, Steele RG, ed. Application of innovative technologies in the prevention and treatment of overweight in children and adolescents In: Handbook of Childhood and Adolescent Obesity. New York, NY: Springer Science + Business Media; 2008:378-404

Figures

Place holder to copy figure label and caption
Graphic Jump Location

Figure. Flow of participants through the Loozit randomized controlled trial from baseline to 12 months. Additional therapeutic contact (ATC) commences in phase 2.

Tables

Table Graphic Jump LocationTable 1. Baseline Anthropometric and Metabolic Characteristics of Participants Enrolled in the Loozit Studya
Table Graphic Jump LocationTable 2. Anthropometric and Metabolic Measurements and Differences in Outcomes by Treatment Group and Time
Table Graphic Jump LocationTable 3. Psychosocial Measurements and Differences in Outcomes by Treatment Group and Time

References

Wang Y, Lobstein T. Worldwide trends in childhood overweight and obesity.  Int J Pediatr Obes. 2006;1(1):11-25
PubMed   |  Link to Article
Oude Luttikhuis H, Baur L, Jansen H,  et al.  Interventions for treating obesity in children.  Cochrane Database Syst Rev. 2009;1(1):CD001872
PubMed
Shrewsbury VA, O’Connor J, Steinbeck KS,  et al.  A randomised controlled trial of a community-based healthy lifestyle program for overweight and obese adolescents: the Loozit study protocol.  BMC Public Health. 2009;9:119
PubMed  |  Link to Article   |  Link to Article
Nguyen B, Kornman KP, Baur LA. A review of electronic interventions for prevention and treatment of overweight and obesity in young people.  Obes Rev. 2011;12(5):e298-e314
PubMed   |  Link to Article
Shrewsbury VA, Nguyen B, O’Connor J,  et al.  Short-term outcomes of community-based adolescent weight management: The Loozit ® Study.  BMC Pediatr. 2011;11:13
PubMed  |  Link to Article   |  Link to Article
Nguyen B, McGregor KA, O’Connor J,  et al.  Recruitment challenges and recommendations for adolescent obesity trials.  J Paediatr Child HealthIn press
National Health and Medical Research Council.  Clinical Practice Guidelines for the Management of Overweight and Obesity in Children and Adolescents. Canberra: Commonwealth of Australia; 2003
Baranowski T, Perry CL, Parcel GS. How individuals, environments, and health behaviour interact: social cognitive theory. In: Glanz K, Lewis FM, Rimer BK, eds. Health Behavior and Health Education: Theory, Research, and Practice. 2nd ed. San Francisco, CA: Jossey Bass Publishers; 2002:153-175
Kornman KP, Shrewsbury VA, Chou AC,  et al.  Electronic therapeutic contact for adolescent weight management: the Loozit study.  Telemed J E Health. 2010;16(6):678-685
PubMed   |  Link to Article
Kuczmarski RJ, Ogden CL, Grummer-Strawn LM,  et al.  CDC growth charts: United States.  Adv Data. 2000;(314):1-27
PubMed
Berwick DM, Murphy JM, Goldman PA, Ware JE Jr, Barsky AJ, Weinstein MC. Performance of a five-item mental health screening test.  Med Care. 1991;29(2):169-176
PubMed   |  Link to Article
Goodman E, Adler NE, Kawachi I, Frazier AL, Huang B, Colditz GA. Adolescents' perceptions of social status: development and evaluation of a new indicator.  Pediatrics. 2001;108(2):E31
PubMed  |  Link to Article   |  Link to Article
Harter S. Manual for the Self Perception Profile for Adolescents. Denver, CO: University of Denver; 1988
Flood V, Webb K, Rangan A. Recommendations for Short Questions to Assess Food Composition in Children for the NSW Health Surveys. Sydney, Australia: NSW Centre for Public Health Nutrition; 2005
Booth ML, Denney-Wilson E, Okely AD, Hardy LL. Methods of the NSW Schools Physical Activity and Nutrition Survey (SPANS).  J Sci Med Sport. 2005;8(3):284-293
PubMed   |  Link to Article
National Health and Medical Research Council.  Dietary Guidelines for Children and Adolescents in Australia. Canberra: Commonwealth of Australia; 2003
Telford A, Salmon J, Jolley D, Crawford D. Reliability and validity of physical activity questionnaires for children: the Children's Leisure Activities Study Survey (CLASS).  Pediatr Exerc Sci. 2004;16(1):64-78
Ainsworth BE, Haskell WL, Whitt MC,  et al.  Compendium of physical activities: an update of activity codes and MET intensities.  Med Sci Sports Exerc. 2000;32(9):(suppl)  S498-S504
PubMed
Booth ML, Okely AD, Chey TN, Bauman A. The reliability and validity of the Adolescent Physical Activity Recall Questionnaire.  Med Sci Sports Exerc. 2002;34(12):1986-1995
PubMed   |  Link to Article
Australasian Child and Adolescent Obesity Research Network. www://sydney.edu.au/medicine/acaorn/streams/activity/tools-validation/index.php. Accessed August 31, 2010
Jelalian E, Lloyd-Richardson EE, Mehlenbeck RS,  et al.  Behavioral weight control treatment with supervised exercise or peer-enhanced adventure for overweight adolescents.  J Pediatr. 2010;157(6):923-928, e1
PubMed   |  Link to Article
Franklin J, Denyer G, Steinbeck KS, Caterson ID, Hill AJ. Obesity and risk of low self-esteem: a statewide survey of Australian children.  Pediatrics. 2006;118(6):2481-2487
PubMed   |  Link to Article
Walker LLM, Gately PJ, Bewick BM, Hill AJ. Children's weight-loss camps: psychological benefit or jeopardy?  Int J Obes Relat Metab Disord. 2003;27(6):748-754
PubMed   |  Link to Article
Tate DF, ed, Jelalian E, ed, Steele RG, ed. Application of innovative technologies in the prevention and treatment of overweight in children and adolescents In: Handbook of Childhood and Adolescent Obesity. New York, NY: Springer Science + Business Media; 2008:378-404

Correspondence

CME
Meets CME requirements for:
Browse CME for all U.S. States
Accreditation Information
The American Medical Association is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians. The AMA designates this journal-based CME activity for a maximum of 1 AMA PRA Category 1 CreditTM per course. Physicians should claim only the credit commensurate with the extent of their participation in the activity. Physicians who complete the CME course and score at least 80% correct on the quiz are eligible for AMA PRA Category 1 CreditTM.
Note: You must get at least of the answers correct to pass this quiz.
You have not filled in all the answers to complete this quiz
The following questions were not answered:
Sorry, you have unsuccessfully completed this CME quiz with a score of
The following questions were not answered correctly:
Commitment to Change (optional):
Indicate what change(s) you will implement in your practice, if any, based on this CME course.
Your quiz results:
The filled radio buttons indicate your responses. The preferred responses are highlighted
For CME Course: A Proposed Model for Initial Assessment and Management of Acute Heart Failure Syndromes
Indicate what changes(s) you will implement in your practice, if any, based on this CME course.
Submit a Comment

Multimedia

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Articles Related By Topic
Related Collections
PubMed Articles
JAMAevidence.com

The Rational Clinical Examination EDUCATION GUIDES
Abdominal Aortic Aneurysm