936 research outputs found

    A cross sectional study investigating the association between exposure to food outlets and childhood obesity in Leeds, UK.

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    Background: Current UK policy in relation to the influence of the ‘food environment’ on childhood obesity appears to be driven largely on assumptions or speculations because empirical evidence is lacking and findings from studies are inconsistent. The aim of this study was to investigate the number of food outlets and the proximity of food outlets in the same sample of children, without solely focusing on fast food. Methods: Cross sectional study over 3 years (n = 13,291 data aggregated). Body mass index (BMI) was calculated for each participant, overweight and obesity were defined as having a BMI >85th (sBMI 1.04) and 95th (sBMI 1.64) percentiles respectively (UK90 growth charts). Home and school neighbourhoods were defined as circular buffers with a 2 km Euclidean radius, centred on these locations. Commuting routes were calculated using the shortest straight line distance, with a 2 km buffer to capture varying routes. Data on food outlet locations was sourced from Leeds City Council covering the study area and mapped against postcode. Food outlets were categorised into three groups, supermarkets, takeaway and retail. Proximity to the nearest food outlet in the home and school environmental domain was also investigated. Age, gender, ethnicity and deprivation (IDACI) were included as covariates in all models. Results: There is no evidence of an association between the number of food outlets and childhood obesity in any of these environments; Home Q4 vs. Q1 OR = 1.11 (95% CI = 0.95-1.30); School Q4 vs. Q1 OR = 1.00 (95% CI 0.87 – 1.16); commute Q4 vs. Q1 OR = 0.1.00 (95% CI 0.83 – 1.20). Similarly there is no evidence of an association between the proximity to the nearest food outlet and childhood obesity in the home (OR = 0.77 [95% CI = 0.61 – 0.98]) or the school (OR = 1.01 [95% CI 0.84 – 1.23]) environment. Conclusions: This study provides little support for the notion that exposure to food outlets in the home, school and commuting neighbourhoods increase the risk of obesity in children. It seems that the evidence is not well placed to support Governmental interventions/recommendations currently being proposed and that policy makers should approach policies designed to limit food outlets with caution

    Obesogenic environments and obesity : a comment on ‘Are environmental area characteristics at birth associated with overweight and obesity in school-aged children? Findings from the SLOPE (Studying Lifecourse Obesity PrEdictors) population-based cohort in the south of England’

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    The term ‘obesogenic environment’ has been coined to refer to the influences that the surroundings, opportunities or conditions of life have on promoting obesity in individuals and populations. While the causes of obesity are complex and obesity is multifaceted in aetiology, it is plausible that the condition is driven largely by environmental factors, which undermine the self-regulatory capacity that people have to make responsible decisions about personal diet and physical activity

    Assessing the short-term outcomes of a community-based intervention for overweight and obese children: The MEND 5-7 programme

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    Objective The aim of this study was to report outcomes of the UK service level delivery of MEND (Mind,Exercise,Nutrition...Do it!) 5-7, a multicomponent, community-based, healthy lifestyle intervention designed for overweight and obese children aged 5–7 years and their families. Design Repeated measures. Setting Community venues at 37 locations across the UK. Participants 440 overweight or obese children (42% boys; mean age 6.1 years; body mass index (BMI) z-score 2.86) and their parents/carers participated in the intervention. Intervention MEND 5-7 is a 10-week, family-based, child weight-management intervention consisting of weekly group sessions. It includes positive parenting, active play, nutrition education and behaviour change strategies. The intervention is designed to be scalable and delivered by a range of health and social care professionals. Primary and secondary outcome measures The primary outcome was BMI z-score. Secondary outcome measures included BMI, waist circumference, waist circumference z-score, children's psychological symptoms, parenting self-efficacy, physical activity and sedentary behaviours and the proportion of parents and children eating five or more portions of fruit and vegetables. Results 274 (62%) children were measured preintervention and post-intervention (baseline; 10-weeks). Post-intervention, mean BMI and waist circumference decreased by 0.5 kg/m2 and 0.9 cm, while z-scores decreased by 0.20 and 0.20, respectively (p<0.0001). Improvements were found in children's psychological symptoms (−1.6 units, p<0.0001), parent self-efficacy (p<0.0001), physical activity (+2.9 h/week, p<0.01), sedentary activities (−4.1 h/week, p<0.0001) and the proportion of parents and children eating five or more portions of fruit and vegetables per day (both p<0.0001). Attendance at the 10 sessions was 73% with a 70% retention rate. Conclusions Participation in the MEND 5-7 programme was associated with beneficial changes in physical, behavioural and psychological outcomes for children with complete sets of measurement data, when implemented in UK community settings under service level conditions. Further investigation is warranted to establish if these findings are replicable under controlled conditions

    Protocol: Systematic Review of Whole System Approaches to Obesity

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    Using Geographic Information Systems to measure retail food environments: discussion of methodological considerations and a proposed reporting checklist (Geo-FERN)

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    Geographic Information Systems (GIS) are widely used to measure retail food environments. However the methods used are hetrogeneous, limiting collation and interpretation of evidence. This problem is amplified by unclear and incomplete reporting of methods. This discussion (i) identifies common dimensions of methodological diversity across GIS-based food environment research (data sources, data extraction methods, food outlet construct definitions, geocoding methods, and access metrics), (ii) reviews the impact of different methodological choices, and (iii) highlights areas where reporting is insufficient. On the basis of this discussion, the Geo-FERN reporting checklist is proposed to support methodological reporting and interpretation

    Is BMI alone a sufficient outcome to evaluate interventions for child obesity?

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    BACKGROUND: BMI is often used to evaluate the effectiveness of childhood obesity interventions, but such interventions may have additional benefits independent of effects on adiposity. We investigated whether benefits to health outcomes following the Mind, Exercise, Nutrition…Do It! (MEND) childhood obesity intervention were independent of or associated with changes in zBMI. METHODS: A total of 79 obese children were measured at baseline; 71 and 42 participants were followed-up at 6 and 12 months respectively, and split into four groups depending on magnitude of change in zBMI. Differences between groups for waist circumference, cardiovascular fitness, physical and sedentary activities, and self-esteem were investigated. RESULTS: Apart from waist circumference and its z-score, there were no differences or trends across zBMI subgroups for any outcome. Independent of the degree of zBMI change, benefits in several parameters were observed in children participating in this obesity intervention. CONCLUSION: We concluded that isolating a single parameter like zBMI change and neglecting other important outcomes is restrictive and may undermine the evaluation of childhood obesity intervention effectiveness

    Psychosocial Interventions in the Management of Severe Adolescent Obesity

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    Purpose: Psychosocial Interventions (PSI) are commonly utilised in mental health management, and to our knowledge, have not been explicitly used in weight management. PSI are characterised by three distinct phases: 1) an initial in-depth assessment; 2) an intensive group intervention to stabilise the condition (in this instance weight gain); and 3) an intensive group maintenance programme. PSI focus on the psychosocial elements of obesity, including: stress management, body dysmorphia and self-esteem. As such, the PSI approach is more holistic than traditional weight management approaches. This paper evaluated the outcomes of a PSI when delivered under service level conditions. Methods: SHINE (Self-Help, Independence, Nutrition, and Exercise) is a community-based weight management programme that implements a PSI approach. The programme is located in Sheffield, UK. Adolescents (n = 393) with severe obesity signed onto the programme between 2011 and 2013. The programme spans 12-15 months and participants attend three phases of the PSI. Phase One is undertaken before the programme, Phase Two is a 12-week intervention and Phase Three is split into three 12-week maintenance interventions. Anthropometric measurements (BMI and WC) were collected at baseline, 3-, 6-, 9- and 12-months. Psychosocial measures (self-esteem, anxiety and depression) were collected at baseline and 3-months. Participant retention was also assessed. Results: 304 participants started the programme and 289 were retained at 3 months. At 3 months BMI z-score reduced by 0.21 (95% CI: 0.19, 0.24) and WC by 7.8cm (95% CI: 7.2, 8.5). Almost 25% of participants reduced their BMI classification (e.g. severely obese to obese). Anxiety and self-esteem improved by 63% and 50% respectively. 89 participants continued to attend the programme after 12 months, obtaining a BMI z-score reduction of 0.46 (95% CI: 0.35, 0.58) and a WC reduction of 10.5cm (95% CI: 7.8, 13.1). Conclusions: Obesity is a highly complex condition to manage and requires intensive and prolonged support to produce meaningful and lasting behavioural and anthropometric changes. The SHINE PSI approach has shown promise and demonstrated encouraging results - suggesting that it may be beneficial for interventions to consider wider determinants of health and wellbeing beyond simply diet and physical activity
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