Translational research: are community-based child obesity treatment programs scalable?
Tóm tắt
Community-based obesity treatment programs have become an important response to address child obesity; however the majority of these programs are small, efficacy trials, few are translated into real-world situations (i.e., dissemination trials). Here we report the short-term impact of a scaled-up, community-based obesity treatment program on children’s weight and weight-related behaviours disseminated under real world conditions. Children age 6–15 years with a body mass index (BMI) ≥85th percentile with no co-morbidities, and their parents/carers participated in a twice weekly, 10-week after-school child obesity treatment program between 2009 and 2012. Outcome information included measures of weight and weight-related behaviours. Analyses were adjusted for clustering and socio-demographic variables. Overall, 2,812 children participated (54.2 % girls; Mage 10.1 (2.0) years; Mattaendance 12.9 (5.9) sessions). Beneficial changes among all children included BMI (−0.65 kg/m2), BMI-z-score (−0.11), waist circumference (−1.8 cm), and WtHtr (−0.02); self-esteem (+2.7units), physical activity (+1.2 days/week), screen time (−4.8 h/week), and unhealthy foods index (−2.4units) (all p < 0.001). Children who completed ≥75 % of the program were more likely to have beneficial changes in BMI, self-esteem and diet (sugar sweetened beverages, lollies/chocolate, hot chips and takeaways) compared with children completing <75 % of the program. This is one of the few studies to report outcomes of a government-funded, program at scale in a real-world setting, and shows that investment in a community-based child obesity treatment program holds potential to produce short-term changes in weight and weight-related behaviours. The findings support government investment in this health priority area, and demonstrate that community-based models of child obesity treatment are a promising adjunctive intervention to health service provision at all levels of care.
Tài liệu tham khảo
Australian Institute of Health and Welfare. Australia’s Health 2014. Canberra: AIHW; 2014.
Spilchak PJ, Denney-Wilson E, King L, Baur LA. Tertiary paediatric obesity services in Australia. J Paediatr Child Health. 2008;44(5):243–7.
Wake M, Baur LA, Gerner B, Gibbons K, Gold L, Gunn J, et al. Outcomes and costs of primary care surveillance and intervention for overweight or obese children: the LEAP 2 randomised controlled trial. BMJ. 2009;339:b3308.
Oude LH, Baur L, Jansen H, Shrewsbury VA, O’Malley C, Stolk RP, et al. Interventions for treating obesity in children. Cochrane Database Syst Rev. 2009;1:CD001872.
Nutbeam D, Bauman AE. Evaluation in a nutshell: a practical guide to the evaluation of health promotion programs, vol. 2nd. North Ryde: McGraw-Hill Australia Pty Ltd; 2006.
Glasgow RE, Emmons KM. How can we increase translation of research into practice? Types of evidence needed. Annu Rev Public Health. 2007;28:413–33.
Glasgow RE, Lichtenstein E, Marcus AC. Why don’t we see more translation of health promotion research to practice? Rethinking the efficacy-to-effectiveness transition. Am J Public Health. 2003;93(8):1261–7.
Glasgow RE. What types of evidence are most needed to advance behavioral medicine? Ann Behav Med. 2008;35(1):19–25.
Kuczmarski RJ, Ogden CL, Guo SS, Grummer-Strawn LM, Flegal KM, Mei Z, et al. CDC Growth Charts for the United States: methods and development. Vital Health Stat11. 2000;2002(246):1–190.
Sacher PM, Chadwick P, Wells JC, Williams JE, Cole TJ, Lawson MS. Assessing the acceptability and feasibility of the MEND Programme in a small group of obese 7-11-year-old children. J Hum Nutr Diet. 2005;18(1):3–5.
Sacher PM, Kolotourou M, Chadwick PM, Cole T, Lawson MS, Lucas A, et al. Randomized controlled trial of the MEND Program: A family-based community Intervention for childhood obesity. Obesity. 2010;18(S1):S62–8.
Census of Population and Housing: Socio-Economic Indexes for Areas (SEIFA), Australia - Data only, 2006 [http://www.abs.gov.au/AUSSTATS/[email protected]/DetailsPage/2033.0.55.0012006?OpenDocument].
Australian Institute of Health and Welfare. Rural, Regional and Remote Health: Indicators of Health System Performance. Canberra: AIHW; 2008.
Browning LM, Hsieh SD, Ashwell M. A systematic review of waist-to-height ratio as a screening tool for the prediction of cardiovascular disease and diabetes: 0.5 could be a suitable global boundary value. Nutr Res Rev. 2010;23(2):247–69.
Francis K, Feinstein R. A simple height-specific and rate-specific step test for children. South Med J. 1991;84(2):169–74.
Rosenberg M. Society and the adolescent self-image. Princeton NJ: Princeton University Press; 1965.
Cohen J: Statistical power analysis for the behavioral sciences (rev: Lawrence Erlbaum Associates, Inc; 1977.
Ford AL, Hunt LP, Cooper A, Shield JPH. What reduction in BMI SDS is required in obese adolescents to improve body composition and cardiometabolic health? Arch Dis Child. 2010;95(4):256–61.
Kelly B, Hughes C, Chapman K, Louie JC-Y, Dixon H, Crawford J, et al. Consumer testing of the acceptability and effectiveness of front-of-pack food labelling systems for the Australian grocery market. Health Promot Int. 2009;24(2):120–9.
Mhurchu CN, Gorton D. Nutrition labels and claims in New Zealand and Australia: a review of use and understanding. Aust N Z J Public Health. 2007;31(2):105–12.
Rangan A, Randall D, Hector D, Gill T, Webb K. Consumption of ‘extra’ foods by Australian children: types, quantities and contribution to energy and nutrient intakes. Eur J Clin Nutr. 2008;62(3):356–64.
Sanigorski AM, Bell AC, Swinburn BA. Association of key foods and beverages with obesity in Australian schoolchildren. Public Health Nutr. 2007;10(02):152–7.
Petrunoff NA, Wilkenfeld RL, King LA, Flood VM. ‘Treats’,‘sometimes foods’,‘junk’: a qualitative study exploring ‘extra foods’ with parents of young children. Public Health Nutr. 2012;17:1–8.
Welsby D, Nguyen B, O’Hara B, Innes-Hughes C, Bauman A, Hardy LL. Process evaluation of an up-scaled community based child obesity treatment program: NSW Go4Fun(R). BMC Public Health. 2014;14(1):140.
Moroshko I, Brennan L, O’Brien P. Predictors of dropout in weight loss interventions: a systematic review of the literature. Obes Rev. 2011;12:912–34.
Milat AJ, King L, Rissel C, Bauman A, Redman S. The case for funding more intervention research in public health - policy maker and researcher perspectives. Aust N ZJ Public Health. 2012;36(6):582–3.
