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Short-term outcomes of community-based adolescent weight management: The Loozit® Study
© Shrewsbury et al.; licensee BioMed Central Ltd. 2011
Received: 20 April 2010
Accepted: 8 February 2011
Published: 8 February 2011
The Loozit® Study is a randomised controlled trial investigating extended support in a 24 month community-based weight management program for overweight to moderately obese, but otherwise healthy, 13 to 16 year olds.
This pre-post study examines the two month outcomes of the initial Loozit® group intervention received by both study arms. Adolescents (n = 151; 48% male) and their parents separately attended seven weekly group sessions focused on lifestyle modification. At baseline and two months, adolescents' anthropometry, blood pressure, and fasted blood sample were assessed. Primary outcomes were two month changes in body mass index (BMI) z-score and waist-to-height-ratio (WHtR). Secondary outcomes included changes in metabolic profile, self-reported dietary intake/patterns, physical and sedentary activities, psychological characteristics and social status. Changes in outcome measures were assessed using paired samples t-tests for continuous variables or McNemar's test for dichotomous categorical variables.
Of the 151 adolescents who enrolled, 130 (86%) completed the two month program. Among these 130 adolescents (47% male), there was a statistically significant (P < 0.01) reduction in mean [95% CI] BMI (0.27 kg/m2 [0.41, 0.13]), BMI z-score (0.05 [0.06, 0.03]), WHtR (0.02 [0.03, 0.01]), total cholesterol (0.14 mmol/L [0.24, 0.05]) and low-density lipoprotein cholesterol (0.12 mmol/L [0.21, 0.04]). There were improvements in all psychological measures, the majority of the dietary intake measures, and some physical activities (P < 0.05). Time spent watching TV and participating in non-screen sedentary activities decreased (P < 0.05).
The Loozit® program may be a promising option for stabilizing overweight and improving various metabolic factors, psychological functioning and lifestyle behaviors in overweight adolescents in a community setting.
Australian New Zealand Clinical Trials Registry
Adolescent obesity is a significant public health issue  often associated with a range of medical [2–5] and psycho-social problems . Family-based lifestyle interventions are the recommended first line of treatment for adolescent obesity  and have a modest capacity to reduce overweight  and improve metabolic risk factors . Much of the research has focused on outcomes of intensive clinical programs offered at tertiary treatment centers . Community-based adolescent group programs for obesity treatment are a relatively understudied intervention .
Potential advantages of community-based group management of adolescent obesity over treatment in the tertiary setting include greater accessibility for participants, fewer time constraints, and more interactive knowledge and skill building opportunities . There is a pressing need for research to evaluate the clinical and psycho-social outcomes of lower intensity, and potentially economically sustainable, community-based lifestyle interventions for adolescent weight management.
Our pilot work, in Sydney, Australia, established that a program with such features offered through community health centers and involving community-based recruitment, was feasible and acceptable to adolescents. Importantly it was accompanied by a reduction in waist circumference and improvements in high density lipoprotein cholesterol and aspects of self-perception . Participant feedback from the pilot prompted changes to the program such as the involvement of parents and more sessions over a shorter time span; it is now called the Loozit® group program . This study aimed to examine the short-term (2 month) anthropometric, metabolic, behavioral, and psycho-social outcomes of the Loozit® group program.
This paper describes Phase 1 (2 month outcomes) of the Loozit® two-arm randomized controlled trial (RCT) for weight management in overweight to moderately obese adolescents. The Phase 1 intervention is a low-moderate intensity (i.e. one contact per week) community-based group lifestyle program that is delivered identically to both study arms and therefore is evaluated as a pre-post study in the present paper. The full RCT protocol, including a detailed description of the Phase 1 intervention, has been published elsewhere . Briefly, the Phase 2 intervention, which is still underway, involves participants in both study arms attending group sessions approximately once every three months from 2 months to the completion of the study at 24 months. One study arm also receives additional therapeutic contact in the form of telephone coaching, short-message service text messaging and/or email messages. This study is registered with the Australian New Zealand Clinical Trials Registry (ACTRNO12606000175572) 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.
Between May 2006 and May 2009, adolescents were recruited in Sydney, Australia, by community-based recruitment, primarily via schools, the media, health professionals and community organizations. Eligibility to participate in the study was initially assessed via a telephone screen and was confirmed at a face-to-face appointment. Adolescents were eligible to participate if they were: 13 to16 years old; overweight to moderately obese (i.e. body mass index (BMI) z-score range 1.0-2.5) but otherwise healthy; available to attend the scheduled Phase 1 group sessions with a parent/carer; able to access a landline telephone and a mobile phone or email (relevant to the Phase 2 intervention). A BMI z-score of 1.0 is equivalent to the 85th percentile on the Centers for Disease Control and Prevention (CDC) BMI-for-age growth chart i.e. the lower boundary for defining overweight in children and adolescents. We excluded severely obese adolescents (i.e. BMI z-score >2.5) because they are more likely to have comorbid conditions and thus require more intensive and individualized help offered in tertiary treatment settings. Additional exclusion criteria were: a poor level of spoken English; an intellectual or physical disability; a secondary cause for the obesity; or taking medications that affect weight status. Informed consent to participate in this study was obtained in writing from adolescents and their parent/carer.
All adolescents in the study received the Loozit® group program during Phase 1. The program involved seven × 75 minute group sessions held once per week in separate rooms for adolescents and their parents/carers. Trained dietitians facilitated the groups involving 5-9 participants held at a suburban community health center or in school rooms at a children's hospital. The particular settings were chosen because they were readily accessible to members of the community and were available free of charge to the study investigators. The program is based on the social cognitive theory to change dietary intake and activity levels, and to modify self-efficacy, motivation, perseverance and self-regulation . The initial session focuses on the benefits of healthy living and encourages setting goals at least once per week throughout the program. The second session discusses increasing physical activity and reducing sedentary behaviors. The next two sessions focus on healthy eating. Adolescents' session five covers stress management, and session six focuses on building positive self esteem. The final session summarizes the previous sessions and discusses techniques for maintaining positive changes. All adolescent sessions include a total of 20 minutes of indoor resistance activities and fun active games. Parent sessions focus on practical support of behavioral change in adolescents and role modelling of healthy lifestyle behaviors. A detailed description of the content covered in each group session has been published elsewhere .
Data collection procedures
Adolescents attended an initial appointment with a parent/carer to assess baseline anthropometry and pubertal stage, to complete demographic questionnaires, and to arrange fasting venipuncture at an external pathology laboratory. At the two month follow up anthropometry and instructions for the fasting venipuncture was repeated. Measuring equipment was regularly calibrated and the physical outcome assessors attended measurement training sessions. Adolescents attended a group session at baseline and two months to complete individual questionnaires on behavioral and psycho-social outcomes.
Anthropometry and metabolic indicators
Portable scales (Tanita HD-316, Tanita Corp., Tokyo, Japan) were used to measure weight to the nearest 0.1 kg, with shoes and heavy clothing removed. Height was measured to the nearest 0.1 cm using a fixed stadiometer (Holtain Limited, Wales, UK) at the children's hospital or a portable stadiometer (Seca, Model 220, Hamburg, Germany) at the community health center. Waist circumference (WC) was measured at the narrowest point between the lower costal (rib) border and the iliac crest using a nonextensible steel tape. The primary outcomes were BMI z-score, based upon age-and sex-specific reference values , and the waist-to-height ratio (WHtR). Since the development of the Loozit® Study protocol in 2005 (and later published ), WHtR has been established as a simple, age-independent, measure of abdominal adiposity and cardiovascular risk factor clustering [15, 16] and hence has been reported instead of waist circumference z-score. Systolic and diastolic blood pressure (BP) were measured using an automated BP monitor (Dinamap model 8101, Critikon Inc., FL) under standard conditions . A nationally accredited pathology laboratory collected fasting blood samples and assessed: total cholesterol including high density (HDL) and low density lipoprotein (LDL) fractions, triglycerides, insulin, glucose and alanine aminotransferase (ALT). The homeostasis model assessment of insulin resistance (HOMA-IR) was calculated ([fasting insulin (mU/L) × fasting glucose (mmol/L)]/22.5) . Participants were reimbursed AUD $20.00 for travel expenses associated with blood collection.
Physical activity and sedentary behavior were assessed using the validated Children's Leisure Activities Study Survey . Time spent in total physical activity (the sum of 42 activities) and at various intensity levels (light, moderate, and vigorous [20, 21]) was calculated. Sedentary leisure activities were classified as screen based and non-screen based. Participants whose sedentary leisure activity time exceeded 72 hours/week were excluded according to established protocols . Adolescents' adherence to national guidelines  recommending daily participation in at least one hour of moderate to vigorous physical activity and no more than two hours/day of screen pursuits was assessed. Dietary intake was measured using a food frequency questionnaire  with additional questions on eating behaviors that were used in an Australian study of adolescent dietary intake . Responses were categorised into dichotomous variables to indicate whether or not adolescents met Australian dietary recommendations .
The Mental Health Inventory-5 (MHI-5) score (5 = most favorable health; 30 = least favorable health), based on a five-question mental health assessment component of the SF-36, was used to assess quality of life . Sex specific, 9-figure scales ranging from thin to fat body shapes (scoring: 1 to 9) investigated body shape perception. Participants made two choices: current perceived body shape and ideal body shape with body dissatisfaction being the difference between the two . The MacArthur Scale of Subjective Social Status, an adaptation of a 10-point vertical ladder scale (1 = extremely low; 10 = extremely high), was used to evaluate perceived social acceptance with adolescent peers . The 45-item Self Perception Profile for Adolescents was used to assess perceived mean competence in eight domains (scholastic, social acceptance, athletic, physical appearance, job, romantic appeal, close friendship, and behavioral conduct) as well as global self-worth (scoring: 1 = low; 4 = high) . This tool includes an additional 16-item measure to assess the level of importance that adolescents attribute to each domain.
Adolescents self-reported their stage of pubertal maturation using the standard Tanner Stage line drawings and menarchal status for females . Early puberty was defined as Tanner Stages 1-2 for male genitalia and pre-menarche in females. Mid/late puberty was defined as Tanner Stages 3-5 for male genitalia and post-menarche in females.
A parent/carer completed a questionnaire including the following items: maternal and paternal highest education level and birthplace; residential postal area code; and primary language spoken at home. Parental birthplace was classified using the Australian Standard Classification of Cultural and Ethnic Groups . The Australian Bureau of Statistics 2006 Socio-Economic Indexes for Areas (SEIFA) Index of Relative Socio-economic Advantage and Disadvantage (IRSAD) was assigned to each residential postal area code. IRSAD is a general index that includes 21 measures and represents a continuum of advantage (high values) to disadvantage (low values) .
Participant program evaluation
At the two month follow up adolescents and parents completed an anonymous evaluation questionnaire, adapted from a study involving obese pre-adolescent children . Using Likert scales, participants assessed various aspects of the Loozit® group program including quality, usefulness of the content/resources, and overall satisfaction. Participants were asked if they would recommend the program to other people.
It was estimated that a sample size of 128 (i.e. 64 per intervention arm) would provide 80% power to detect a 0.4 unit difference in mean change of BMI z-score from baseline to 2, 12 and 24 months follow up in the two arms in the forthcoming RCT (two group t-test, 0.05 two-tailed significance).
Baseline to two month changes
Data entry was checked by a second researcher and analyzed using SPSS 17.0 (SPSS Inc., Chicago, IL). Of the enrolled adolescents (n = 151), dropouts are defined as those who withdrew from the study prior to the first group session (n = 14) or during the intervention (n = 7). Two month changes in anthropometry, metabolic and psycho-social outcomes in adolescents who completed the program were assessed using paired samples t-tests for continuous variables or McNemar's test for dichotomous categorical variables.
Participant baseline characteristics
Baseline demographic characteristics of adolescents and their parents
Characteristics (n = 151)
Median (interquartile range) age in yearsa
Mean (SD) SEIFAa, b
Primary language spoken at home (%)c
Dual parent households (%)
Region of birthc - Mother (%): Father (%)
North Africa and Middle East
University degree (%):
Changes in outcome measures between baseline and two month follow up
Anthropometry and metabolic indicators
Change in anthropometry and metabolic indicators between baseline and two months
-0.19 (-0.58, 0.18)
BMI (kg/m 2 )
-0.27 (-0.41, -0.13)
-0.05 (-0.06, -0.03)
-2.34 (-3.87, -0.81)
-0.02 (-0.03, -0.01)
Systolic BP (mm/Hg)
1 (-1, 3)
Diastolic BP (mm/Hg)
0 (-2, 2)
0.00 (-0.13, 0.12)
Total cholesterol (mmol/L)
-0.14 (-0.24, -0.05)
LDL cholesterol (mmol/L)
-0.12 (-0.21, -0.04)
HDL cholesterol (mmol/L)
-0.04 (-0.08, 0.01)
-0.08 (-0.18, 0.02)
-0.83 (-2.70, 1.03)
-0.25 (-0.69, 0.20)
ALT (U/L) c
-1.59 (-4.53, 1.35)
Reported dietary, physical activity and sedentary behavior changes between baseline and two months
Baseline to 2 months
Δ in behavior/intake
Reduced (%): No change (%):
Core food intake
Vegetables (≥ 4 serves/day)b
Fruit (≥ 2 serves/day)b
Extra food intake
High fat meat products (once/week or less)c
Potato crisps (never or rarely)c
Fast food/takeaway (never or rarely)c
Water (≥ 6 cups/day)b
Diet drinks (never or rarely)c
Fruit juice/drink (never or rarely)c
Regular sweetened drinks (never or rarely)c
Dietary behavior patterns
Consumes breakfast (everyday)b
Consumes lunch (everyday)b
Consumes dinner (everyday)b
Makes or helps make dinner (≥ once/week)b
Consumes dinner with most of family (everyday)b
Dinner in front of TV (< once/week)c
Moderate-vigorous physical activity (> 1 hour/day)b
Screen based leisurely pursuits (≥ 2 hours/day)c
Total physical activity (hours/week)
Total sedentary leisure activity (hours/week) f
Screen based leisure pursuits
Using the computer/internetg
Playing electronic games
Non-screen based leisure pursuits
Change in psycho-social factors between baseline and two months
Δ P valueb
Mental Health Inventory (MHI-5)
Body shape dissatisfaction d
Global self worth
Subjective social status e
Group session attendance & satisfaction
Attendance rates at group sessions progressively declined from week 1 to 7, ranging from 93% to 81% in adolescents and 93% to 74% in parents. Overall, adolescents' and parents' ratings indicated that they were highly satisfied with the program with 94% of adolescents and 100% of parents responding that they would recommend the program to others.
In this two month community-based group lifestyle intervention there was a stabilization in BMI and waist circumference in the majority of adolescent participants. A five percent or greater reduction in BMI z-score and WHtR was achieved by almost a quarter and over a third of adolescents respectively. These changes were accompanied by improvements in total and LDL cholesterol, psychological functioning, and self-reported lifestyle behaviors. The high attendance rates and satisfaction ratings indicate that the intervention was well received by adolescents and their parents.
There are several published studies of low to moderate intensity group lifestyle interventions in overweight adolescents [35–37] that are similar enough to compare to this study. Those studies, all from the USA, were published over twenty years ago and had less than half the sample size. The 14 week Shapedown RCT resulted in a reduced relative weight (actual weight divided by expected weight) at three months that was sustained at 15 months follow up when compared to a non-treatment control arm ; BMI was not reported. Two other RCTs examined the effect of a 16 week group treatment in three study arms i.e. adolescents with their mother (sessions together or separately) or alone in African-American females  and white lower-middle class families . At the 16 week follow-up BMI decreased in both studies in all study arms (~1.3 kg/m2 ; 3.3 kg/m2 ) but tended to be less pronounced when the adolescent was treated alone. By six month  or 12 month  follow up participants had largely returned to their baseline BMI except in the separate mother-child arm in one study  where participants had maintained a reduced BMI.
A recent community-based RCT in 8 to 14 year olds, of similar intensity to our study in the first eight weeks (of a 16 week intervention), showed a BMI z-score reduction in children in the parent-only intervention compared with the control condition at both 4 month (0.127) and 10 month (0.115) follow up. A decrease in BMI z-score (0.136) was observed in children in the family-based intervention at 10 months only . Three other interventions can be considered comparable with the Loozit® group program, albeit with a greater intensity of contact [39–41]. These studies involved contact at least twice a week for three to six months with statistically significant reductions in mean BMI (0.16 kg/m2 ; 2.1 kg/m2 ) or BMI z-score (0.07 ) at 6 months.
It is evident from the present and comparative studies that in the short term (i.e. < 6 months) modest reductions in the level of overweight can be achieved although the magnitude of change may be related to the intervention intensity and duration. However, longer term outcomes in such interventions are rarely reported. The Loozit® Study is designed to address this short-coming as the affect of additional therapeutic contact will be determined in a randomized trial with outcomes assessed at 12 and 24 month follow-ups .
This study, consistent with previous studies [36, 37, 40], has shown a modest reduction in various metabolic parameters, however the long term significance of these outcomes is unknown. The improvement in psychological functioning in the present study is consistent with the comparison studies that also examined depression and self-esteem [35, 36]. These findings support the contention that lifestyle interventions do not have a detrimental impact on adolescent well-being in the short-term.
Of the previously mentioned comparison studies, one  examined changes in self-reported weight-related behaviors with improvements in overall 'behavior' observed at 3 and 15 months follow up. While reported intake of most dietary factors improved in the present study breakfast consumption was the only dietary behavior pattern to improve. It is apparent that improving dietary behavior patterns, in particular the frequency of eating together as a family away from the television, may need greater emphasis. The reported reduction in sedentary activities is encouraging although the deficit did not result in greater overall physical activity. The increase in weight training could be the result of each group session dedicating time to performing resistance activities and encouragement given to continue these exercises at home. Barriers to increasing overall physical activity were not specifically assessed; however, anecdotal feedback to group facilitators indicated that parents found it difficult to find activities that their adolescent enjoyed and to motivate them to be active.
A methodological limitation of this initial phase of the Loozit® study was the absence of a control group. In designing this study, which has an active control group in Phase 2 (see Figure 1), we considered it unethical to have a non-treatment control group given that most RCTs of pediatric obesity lifestyle interventions show that such interventions are superior to control conditions . Hence it is probable that the positive changes observed in this study are attributable to the intervention but this cannot be stated definitively. Another limitation of this study was that behaviors were self-reported. Nonetheless, even if the improvements in behaviors did not reflect reality, it does indicate an improvement in adolescents' knowledge of healthy lifestyles.
Participant recruitment was the most challenging aspect of conducting this study and an analysis of the efficacy and cost-effectiveness of various recruitment strategies has been reported elsewhere . The demands of working with adolescents cannot be underestimated. The group facilitators worked hard to ensure an optimal balance between having fun (a retention strategy) and covering the session content in a timely manner. Multiple reminders to families were required to achieve pathology collection.
Overall, a stabilization in the level of adolescent overweight was accompanied by improvements in several other outcomes. The Loozit® program may be a promising resource for improving the health and well-being of overweight adolescents in a community setting. It is recommended that future research investigate techniques for improving the magnitude of overweight reduction in low-moderate intensity interventions such as the Loozit® program. Future follow up of these adolescents at 12 and 24 months post-baseline will determine the extent to which low intensity extended support, delivered from 2 to 24 months post-baseline, further impacts on weight status and secondary outcome measures in this community-based weight management intervention.
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). VAS is supported by a National Health and Medical Research Council Biomedical Postgraduate Scholarship (#505009). We would like to thank the participating adolescents and their parents/carers, as well as The Children's Hospital at Westmead Public Relations Department and local schools for assisting with recruitment. We thank Dr Jennifer Peat and Dr Federica Barzi of the Clinical Epidemiology Unit, The Children's Hospital at Westmead, for providing statistical advice. We would also like to thank Kate Stevenson, Kristy McGregor, Michele Casey, Susie Burrell, Kerryn Chisholm, Genevieve Dwyer, and Jessica Finlay for their contribution to the development of the study materials. The funding bodies did not have any input into the design of the study, the collection of data, the preparation of this manuscript, or the decision to submit this manuscript for publication.
- Sinha A, Kling S: A review of adolescent obesity: prevalence, etiology, and treatment. Obes Surg. 2009, 19 (1): 113-120. 10.1007/s11695-008-9650-4.View ArticlePubMedGoogle Scholar
- Cali AM, Caprio S: Obesity in children and adolescents. J Clin Endocrinol Metab. 2008, 93 (11 Suppl 1): S31-36. 10.1210/jc.2008-1363.View ArticlePubMedPubMed CentralGoogle Scholar
- Chan G, Chen CT: Musculoskeletal effects of obesity. Curr Opin Pediatr. 2009, 21 (1): 65-70. 10.1097/MOP.0b013e328320a914.View ArticlePubMedGoogle Scholar
- Mager DR, Roberts EA: Nonalcoholic fatty liver disease in children. Clin Liver Dis. 2006, 10 (1): 109-131. 10.1016/j.cld.2005.10.007. vi-viiView ArticlePubMedGoogle Scholar
- Tauman R, Gozal D: Obesity and obstructive sleep apnea in children. Paediatr Respir Rev. 2006, 7 (4): 247-259. 10.1016/j.prrv.2006.08.003.View ArticlePubMedGoogle Scholar
- Puhl RM, Latner JD: Stigma, obesity, and the health of the nation's children. Psychol Bull. 2007, 133 (4): 557-580. 10.1037/0033-2909.133.4.557.View ArticlePubMedGoogle Scholar
- Spear BA, Barlow SE, Ervin C, Ludwig DS, Saelens BE, Schetzina KE, Taveras EM: Recommendations for treatment of child and adolescent overweight and obesity. Pediatrics. 2007, 120 (Suppl 4): S254-288. 10.1542/peds.2007-2329F.View ArticlePubMedGoogle Scholar
- Oude Luttikhuis H, Baur L, Jansen H, Shrewsbury VA, O'Malley C, Stolk RP, Summerbell CD: Interventions for treating obesity in children. Cochrane Database Syst Rev. 2009, CD001872-Google Scholar
- Weiss R, Kaufman FR: Metabolic complications of childhood obesity: identifying and mitigating the risk. Diabetes Care. 2008, 31 (Suppl 2): S310-316. 10.2337/dc08-s273.View ArticlePubMedGoogle Scholar
- Morris V: Community-based programming to treat childhood obesity. Curr Diab Rep. 2006, 6 (5): 395-400. 10.1007/s11892-006-0012-0.View ArticlePubMedGoogle Scholar
- O'Connor J, Steinbeck K, Hill A, Booth M, Kohn M, Shah S, Baur L: Evaluation of a community-based weight management program for overweight and obese adolescents: The Loozit study. Nutrition & Dietetics. 2008, 65 (2): 121-127.View ArticleGoogle Scholar
- Shrewsbury VA, O'Connor J, Steinbeck KS, Stevenson K, Lee A, Hill AJ, Kohn MR, Shah S, Torvaldsen S, Baur LA: 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: 119-10.1186/1471-2458-9-119.View ArticlePubMedPubMed CentralGoogle Scholar
- Baranowski T, Perry CL, Parcel GS: How individuals, environments, and health behaviour interact: social cognitive theory. Health Behavior and Health Education: Theory, Research, and Practice. Edited by: Glanz K, Lewis FM, Rimer BK. 2002, San Francisco: Jossey Bass Publishers, 153-175. 2Google Scholar
- Kuczmarski RJ, Ogden CL, Grummer-Strawn LM, Flegal KM, Guo SS, Wei R, Mei Z, Curtin LR, Roche AF, Johnson CL: CDC growth charts: United States. Adv Data. 2000, 1-27. 314Google Scholar
- Garnett SP, Baur LA, Cowell CT: Waist-to-height ratio: a simple option for determining excess central adiposity in young people. Int J Obes (Lond). 2008, 32 (6): 1028-1030. 10.1038/ijo.2008.51.View ArticleGoogle Scholar
- Lee CM, Huxley RR, Wildman RP, Woodward M: Indices of abdominal obesity are better discriminators of cardiovascular risk factors than BMI: a meta-analysis. J Clin Epidemiol. 2008, 61 (7): 646-653. 10.1016/j.jclinepi.2007.08.012.View ArticlePubMedGoogle Scholar
- Jureidini KF, Baghurst PA, Hogg RJ, Vanrenen MJ, Adams PS, Burnell RH, Goldblatt E, Vimpani GV: Blood-pressure in schoolchildren measured under standardized conditions. Medical Journal of Australia. 1988, 149 (3): 132-134.PubMedGoogle Scholar
- Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC: Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia. 1985, 28 (7): 412-419. 10.1007/BF00280883.View ArticlePubMedGoogle Scholar
- 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). Pediatric Exercise Science. 2004, 16 (1): 64-78.Google Scholar
- Ainsworth BE, Haskell WL, Whitt MC, Irwin ML, Swartz AM, Strath SJ, O'Brien WL, Bassett DR, Schmitz KH, Emplaincourt PO, et al: Compendium of physical activities: an update of activity codes and MET intensities. Med Sci Sports Exerc. 2000, 32 (9 Suppl): S498-504.View ArticlePubMedGoogle Scholar
- 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. 10.1097/00005768-200212000-00019.View ArticlePubMedGoogle Scholar
- Australasian Child and Adolescent Obesity Research Network. Date accessed 2010 Nov 26, [http://sydney.edu.au/medicine/acaorn/streams/activity/tools-validation/index.php]
- Australian Department of Health and Ageing: Australia's Physical Activity Recommendations for 12-18 year olds. 2004, Canberra: DOHAGoogle Scholar
- Flood V, Webb K, Rangan A: Recommendations for short questions to assess food composition in children for the NSW Health Surveys. 2005, Sydney: NSW Centre for Public Health NutritionGoogle Scholar
- Booth ML, Denney-Wilson E, Okely AD, Hardy LL: Methods of the NSW Schools Physical Activity and Nutrition Survey (SPANS). Journal of Science and Medicine in Sport. 2005, 8 (3): 284-293. 10.1016/S1440-2440(05)80039-8.View ArticlePubMedGoogle Scholar
- National Health and Medical Research Council: Dietary Guidelines for Children and Adolescents in Australia. 2003, Canberra: NHMRCGoogle Scholar
- Berwick DM, Murphy JM, Goldman PA, Ware JE, Barsky AJ, Weinstein MC: Performance of a 5-item mental-health screening-test. Medical Care. 1991, 29 (2): 169-176. 10.1097/00005650-199102000-00008.View ArticlePubMedGoogle Scholar
- Stunkard A: Old and new scales for the assessment of body image. Perceptual and Motor Skills. 2000, 90 (3): 930-930. 10.2466/PMS.90.3.930-930.View ArticlePubMedGoogle Scholar
- 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): e31-10.1542/peds.108.2.e31.View ArticlePubMedGoogle Scholar
- Harter S: Manual for the self perception profile for adolescents. 1988, Denver, CO: University of DenverGoogle Scholar
- Duke PM, Litt IF, Gross RT: Adolescents self-assessment of sexual-maturation. Pediatrics. 1980, 66 (6): 918-920.PubMedGoogle Scholar
- Australian Bureau of Statistics: Australian Standard Classification of Cultural and Ethnic Groups (ASCCEG). 2005, Canberra: ABS, 2Google Scholar
- Australian Bureau of Statistics. Date accessed 2010 Oct 12, [http://www.abs.gov.au/ausstats/abs@.nsf/second+level+view?ReadForm&prodn%20o%20=%202033.0.55.001&viewtitle=Census%20of%20Population%20and%20Housing:%20%20Socio-Economic%20Indexes%20for%20Areas%20(SEIFA),%20Australia%20-%20Data%20only%20~2006~Latest~26/03/2008&&tabname=Related%20Products&prodno%20=%202033.0.55.001&issue%20=%202006&num=&view=&]
- Golley RK, Magarey AM, Baur LA, Steinbeck KS, Daniels LA: Twelve-month effectiveness of a parent-led family-focused weight-management program for prepubertal children: A randomized controlled trial. Pediatrics. 2007, 119 (3): 517-525. 10.1542/peds.2006-1746.View ArticlePubMedGoogle Scholar
- Mellin LM, Slinkard LA, Irwin CE: Adolescent obesity intervention: validation of the SHAPEDOWN program. J Am Diet Assoc. 1987, 87 (3): 333-338.PubMedGoogle Scholar
- Wadden TA, Stunkard AJ, Rich L, Rubin CJ, Sweidel G, McKinney S: Obesity in black adolescent girls: a controlled clinical trial of treatment by diet, behavior modification, and parental support. Pediatrics. 1990, 85 (3): 345-352.PubMedGoogle Scholar
- Brownell KD, Kelman JH, Stunkard AJ: Treatment of obese children with and without their mothers: changes in weight and blood pressure. Pediatrics. 1983, 71 (4): 515-523.PubMedGoogle Scholar
- Janicke DM, Sallinen BJ, Perri MG, Lutes LD, Huerta M, Silverstein JH, Brumback B: Comparison of parent-only vs family-based interventions for overweight children in underserved rural settings: outcomes from project STORY. Arch Pediatr Adolesc Med. 2008, 162 (12): 1119-1125. 10.1001/archpedi.162.12.1119.View ArticlePubMedPubMed CentralGoogle Scholar
- Johnston CA, Tyler C, McFarlin BK, Poston WS, Haddock CK, Reeves R, Foreyt JP: Weight loss in overweight Mexican American children: a randomized, controlled trial. Pediatrics. 2007, 120 (6): e1450-1457. 10.1542/peds.2006-3321.View ArticlePubMedGoogle Scholar
- Savoye M, Shaw M, Dziura J, Tamborlane WV, Rose P, Guandalini C, Goldberg-Gell R, Burgert TS, Cali AM, Weiss R, et al: Effects of a weight management program on body composition and metabolic parameters in overweight children: a randomized controlled trial. JAMA. 2007, 297 (24): 2697-2704. 10.1001/jama.297.24.2697.View ArticlePubMedGoogle Scholar
- Rudolf M, Christie D, McElhone S, Sahota P, Dixey R, Walker J, Wellings C: WATCH IT: a community based programme for obese children and adolescents. Archives of Disease in Childhood. 2006, 91 (9): 736-739. 10.1136/adc.2005.089896.View ArticlePubMedPubMed CentralGoogle Scholar
- Steinbeck K, Nguyen B, Shrewsbury V, Kohn M, Lee A, Shah S, Baur L: Challenges and Techniques in Recruiting Adolescents for the Loozit Healthy Active Lifestyle Weight Loss Intervention. Journal of Adolescent Health. 2010, 46 (2): S41-S42. 10.1016/j.jadohealth.2009.11.099.View ArticleGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2431/11/13/prepub
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