Literature DB >> 22531087

Multilevel analysis of the Be Active Eat Well intervention: environmental and behavioural influences on reductions in child obesity risk.

B A Johnson1, P J Kremer, B A Swinburn, A M de Silva-Sanigorski.   

Abstract

BACKGROUND: The Be Active Eat Well (BAEW) community-based child obesity prevention intervention was successful in modestly reducing unhealthy weight gain in primary school children using a multi-strategy and multi-setting approach.
OBJECTIVE: To (1) examine the relationship between changes in obesity-related individual, household and school factors and changes in standardised child body mass index (zBMI), and (2) determine if the BAEW intervention moderated these effects.
METHODS: The longitudinal relationships between changes in individual, household and school variables and changes in zBMI were explored using multilevel modelling, with measurement time (baseline and follow-up) at level 1, individual (behaviours, n = 1812) at level 2 and households (n = 1318) and schools (n = 18) as higher levels (environments). The effect of the intervention was tested while controlling for child age, gender and maternal education level.
RESULTS: This study confirmed that the BAEW intervention lowered child zBMI compared with the comparison group (-0.085 units, P = 0.03). The variation between household environments was found to be a large contributor to the percentage of unexplained change in child zBMI (59%), compared with contributions from the individual (23%) and school levels (1%). Across both groups, screen time (P = 0.03), sweet drink consumption (P = 0.03) and lack of household rules for television (TV) viewing (P = 0.05) were associated with increased zBMI, whereas there was a non-significant association with the frequency the TV was on during evening meals (P = 0.07). The moderating effect of the intervention was only evident for the relationship between the frequency of TV on during meals and zBMI, however, this effect was modest (P = 0.04).
CONCLUSIONS: The development of childhood obesity involves multi-factorial and multi-level influences, some of which are amenable to change. Obesity prevention strategies should not only target individual behaviours but also the household environment and family practices. Although zBMI changes were modest, these findings are encouraging as small reductions can have population level impacts on childhood obesity levels.

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Year:  2012        PMID: 22531087     DOI: 10.1038/ijo.2012.23

Source DB:  PubMed          Journal:  Int J Obes (Lond)        ISSN: 0307-0565            Impact factor:   5.095


  15 in total

1.  Improving weight status in childhood: results from the eat well be active community programs.

Authors:  Tahna Pettman; Anthea Magarey; Nadia Mastersson; Annabelle Wilson; James Dollman
Journal:  Int J Public Health       Date:  2013-03-26       Impact factor: 3.380

2.  Young children's screen activities, sweet drink consumption and anthropometry: results from a prospective European study.

Authors:  S Olafsdottir; C Berg; G Eiben; A Lanfer; L Reisch; W Ahrens; Y Kourides; D Molnár; L A Moreno; A Siani; T Veidebaum; L Lissner
Journal:  Eur J Clin Nutr       Date:  2013-11-20       Impact factor: 4.016

3.  Interventions for preventing obesity in children.

Authors:  Tamara Brown; Theresa Hm Moore; Lee Hooper; Yang Gao; Amir Zayegh; Sharea Ijaz; Martha Elwenspoek; Sophie C Foxen; Lucia Magee; Claire O'Malley; Elizabeth Waters; Carolyn D Summerbell
Journal:  Cochrane Database Syst Rev       Date:  2019-07-23

Review 4.  Lifestyle interventions to reduce diabetes and cardiovascular disease risk among children.

Authors:  Dorothy J Van Buren; Tiffany L Tibbs
Journal:  Curr Diab Rep       Date:  2014-12       Impact factor: 4.810

5.  A snapshot of the scope of obesity prevention practice in Australia.

Authors:  Tahna Pettman; Kristy Bolton; Penny Love; Elizabeth Waters; Tim Gill; Jill Whelan; Sinead Boylan; Rebecca Armstrong; John Coveney; Sue Booth; Boyd Swinburn; Steven Allender
Journal:  Health Promot Int       Date:  2015-04-28       Impact factor: 2.483

6.  BMI, overweight status and obesity adjusted by various factors in all age groups in the population of a city in Northeastern Brazil.

Authors:  Raquel Patrícia Ataíde Lima; Danielle de Carvalho Pereira; Rafaella Cristhine Pordeus Luna; Maria da Conceição Rodrigues Gonçalves; Roberto Teixeira de Lima; Malaquias Batista Filho; Rosália Gouveia Filizola; Ronei Marcos de Moraes; Luiza Sonia Rios Asciutti; Maria José de Carvalho Costa
Journal:  Int J Environ Res Public Health       Date:  2015-04-22       Impact factor: 3.390

7.  Changes in Primary School Children's Behaviour, Knowledge, Attitudes, and Environments Related to Nutrition and Physical Activity.

Authors:  Anthea Margaret Magarey; Tahna Lee Pettman; Annabelle Wilson; Nadia Mastersson
Journal:  ISRN Obes       Date:  2013-03-19

Review 8.  Systematic review and meta-analysis of the association between childhood overweight and obesity and primary school diet and physical activity policies.

Authors:  Andrew James Williams; William E Henley; Craig Anthony Williams; Alison Jane Hurst; Stuart Logan; Katrina Mary Wyatt
Journal:  Int J Behav Nutr Phys Act       Date:  2013-08-22       Impact factor: 6.457

9.  Exploring the Potential of a School Impact on Pupil Weight Status: Exploratory Factor Analysis and Repeat Cross-Sectional Study of the National Child Measurement Programme.

Authors:  Andrew James Williams; Katrina M Wyatt; Craig A Williams; Stuart Logan; William E Henley
Journal:  PLoS One       Date:  2015-12-23       Impact factor: 3.240

10.  A randomized trial to reduce sugar-sweetened beverage and juice intake in preschool-aged children: description of the Smart Moms intervention trial.

Authors:  Brooke T Nezami; Leslie A Lytle; Deborah F Tate
Journal:  BMC Public Health       Date:  2016-08-19       Impact factor: 3.295

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