Relationships between health related quality of life, obesity, physical activity and screen-based media use among Australian adolescents

Relationships between health related quality of life, obesity, physical activity and screen-based media use among Australian adolescents

Mini-Oral Abstracts 55 sure. Lifestyle interventions produced significant weight loss compared to no-treatment control conditions: BMI (−1.26 kg/m2 ,...

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Mini-Oral Abstracts

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sure. Lifestyle interventions produced significant weight loss compared to no-treatment control conditions: BMI (−1.26 kg/m2 , 95% CI −2.15, −0.37) and BMI z-score (−0.10, 95% CI −0.18, −0.02). Studies comparing lifestyle interventions to usual care had significant immediate (−1.30 kg/m2 , 95% CI −1.58, −1.03) and post-treatment effects (−0.99 kg/m2 , 95% CI −1.31, −0.54) on BMI up to 1 year. Lifestyle interventions led to significant improvements in low-density lipoprotein cholesterol (−0.30 mmol/L, 95% CI −0.45, −0.15), triglycerides (−0.15 mmol/L, 95% CI −0.24, −0.07), fasting insulin (−55.1 pmol/L, 95% CI −71.2, −39.1) and blood pressure up to one year. Conclusions: Lifestyle interventions are effective in treating childhood obesity and improving cardio-metabolic outcomes under a wide range of conditions at least up to one year. Further research is needed to determine the optimal length, intensity and long-term effectiveness of lifestyle interventions.

in-depth interviews/focus group discussion with pregnant women, new mothers and healthcare providers. Longitudinal data were analysed using multivariable GEE logistic models. Results: Baseline data showed (1) mobile phones were used by 99.7% women before, and 94.5% during, pregnancy, and 86% would accept BF and IF information sent by SMS; (2) pregnant women often obtained BF knowledge from family and friends, books/magazines or Internet, but rarely from healthcare providers. An average of 31 messages per person was sent between 28 weeks gestation and 4 months postpartum. There was a significant improvement in EBF rate for the intervention group in the first 4 months (OR = 1.77, 95% CI 1.26—2.48, p = 0.001). Conclusion: Using text messages to promote breastfeeding are well accepted and feasible in Shanghai. This study will measure child BMI at age 12 and 24 months. http://dx.doi.org/10.1016/j.orcp.2012.08.112

http://dx.doi.org/10.1016/j.orcp.2012.08.111

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M109 Text message to promote breastfeeding and obesity-protective eating behaviours in young children: Feasibility and acceptability Li 1,∗ ,

Jiang 2 ,

Yang 2 ,

M. H. D. Dibley 2 , L. Baur 2 , X. Qian 2 1 School

G.

He 2 ,

L.

Wen 3 ,

M.

of Public Health, Sydney University,

Australia of Public Health, Fudan University, Shanghai, China 3 Sydney South West Area Health Service, Sydney, Australia 2 School

Aim: Advances in communication technologies including mobile-phone short message service (SMS), open innovative possibilities for public health interventions. Exclusively breastfeeding (EBF) and longer breastfeeding (BF) duration protect against childhood obesity. This study aimed to develop and test the feasibility and acceptability of a community-based health promotion intervention to provide staged advice and support for BF and infant feeding (IF) through SMS to pregnant and new mothers in Shanghai. Method: Two intervention and 2 control (usual care) Community Health Centres were selected and 657 pregnant women recruited at 11—22 weeks gestation. Intervention group women (n = 308) received weekly SMS messages from 28 weeks gestation until their children were 1 year old. ‘Message bank’ development was based on literature review and

Relationships between health related quality of life, obesity, physical activity and screen-based media use among Australian adolescents L. Millar 1,∗ , K. Lacy 1 , S. Allender 1 , M. Malakellis 1 , B. Swinburn 1,2 1 Deakin

University, Geelong, Australia of Auckland, New Zealand

2 University

Aim: Health related quality of life (HRQoL) is an important consideration when planning obesity interventions. Strategies to improve HRQL should be implemented where levels are comparatively low but complex relationships exist between HRQoL, obesity and factors such as physical activity (PA) and screen-based media (SBM) use. Therefore these relationships need to be explored so informed strategies can be developed. Method: Longitudinal data (mean 2.3 years) were collected for ‘‘It’s Your Move!’’; a 3-year, community-based adolescent obesity prevention intervention. Sociodemographic, SBM, PA and HRQoL data were collected from 2054 students (11—8 years) in 12 secondary schools in Victoria, Australia. Anthropometric data were measured. Regression analysis was used with follow-up HRQoL the dependent variable, independent variables were change in PA and SBM and relevant covariates included, stratified by sex, age, weight status. Results: In males and females, positive changes in PA or SMB were associated with higher levels of HRQoL. When stratified, among the younger

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Mini-Oral Abstracts

group (under 17 years at follow-up) higher levels of PA were associated with higher HRQoL. In the older group both PA and SBM were associated with HRQoL. Among overweight/obese adolescents, positive relationships existed between SBM and HRQoL and for normal weight adolescents similar relationships existed between PA and HRQoL. Conclusion: Physical activity or less frequent use of SBM was associated with higher HRQoL scores. This suggests that, independent of the effects of PA or SBM on body weight, it is important that these behaviours are targeted as maintaining high levels of HRQoL is critical especially in adolescence.

struggled with setting SMART goals, most participants reported making healthy lifestyle changes. Overall, participants were satisfied with the help received. While most participants did not want extra help, suggestions for improvement included more physical activity and a longer program. Most adolescents that received SMS and/or emails rated these as ‘‘somewhat helpful’’, and phone coaching as ‘‘very helpful’’. At 24 months, 87% of adolescents (n = 91) and 97% of parents (n = 78) would recommend the program to others. Conclusion: Future adolescent group-based programs should incorporate fun, practical and physical activity elements and opportunities for social interaction.

http://dx.doi.org/10.1016/j.orcp.2012.08.113

http://dx.doi.org/10.1016/j.orcp.2012.08.114

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Adolescent and parent views of an adolescent weight management program: Lessons from the Loozit® randomised controlled trial

Weighing up Bodywise: The glass half full

B. Nguyen 1,∗ , V. Shrewsbury 1,2 , C. Lau 1 , J. O’Connor 1 , K. Steinbeck 1,2 , A. Hill 3 , L. Baur 1,2 1 The

Children’s Hospital at Westmead, Australia University of Sydney, Australia 3 Leeds University School of Medicine, UK 2 The

Aim: Evaluation of adolescent weight management programs is uncommon. We present the process evaluation of the Loozit® RCT, a community-based lifestyle intervention for obese 13—16 year olds, and provide recommendations for future programs. Method: Adolescents were randomised to receive the Loozit® group program — a two-phase behavioural lifestyle intervention with (n = 73), or without (n = 78), additional therapeutic contact (phone coaching, SMS and/or emails) in Phase 2. Adolescents/parents separately attended seven weekly sessions (Phase 1), followed by quarterly adolescent sessions between 2 and 24 months (Phase 2). Data were collected at 2, 12 and 24 months via: attendance records, facilitator evaluations, satisfaction questionnaires and phone interviews. Results: At baseline, adolescents and parents had different expectations: adolescents were more focused on weight loss and parents on providing motivation for lifestyle change. Attendance was high (85%) during Phase 1 but declined during Phase 2. Facilitators reported that practical activities were generally enjoyed by all. Adolescents enjoyed fun active games, resistance training, and forming new friendships. Although participants

N. Parkes 1,∗ , D. Woolerton 1 , H. Stockman 1 , S. McGall 2 1 Bodywise:

Waikato District Health Board, New Zealand 2 Sport Waikato, New Zealand Aim: To report the outcome of a 14 month family focussed multidisciplinary intervention programme for Childhood Obesity. Methods: Bodywise commences with a 6 week group activity and skills building programme (2 contacts per week) with monthly individual follow-up for 12 months. Fifty-three (N = 53) children, from twelve groups, were enrolled in the Bodywise programme between 2008 and 2011. Forty-one families (79%) completed the 12 month programme; twentysix (49%) were NZ European and 21 (40%) were Maori. Twenty-five were boys (47%). The mean age was 10 years, ranged between 5 years 8 months and 13 years 1 month. Measurements of height, weight, waist circumference and BMI were taken at baseline, 3, 6, 9, and 12 months; as were records of food, physical and sedentary activity. BMI z-scores were calculated to account for age and gender. Results: A repeated measures ANOVA was conducted and found a significant difference in BMI z-scores over 12 months (p = 0.001), indicating a decrease in BMI z-scores. The BMI scores for each child were compared at baseline and 12 months. Results showed that 18 children (43%) had lower BMI scores and 4 maintained (10%) at the completion of the programme. Conclusion: Family participation in Bodywise has shown to reduce mean BMI z-scores. Fifty-three percent of children participating in the Bodywise