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Preventing Childhood Obesity - Evidence Policy and Practice.pdf

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<strong>Evidence</strong> of multi-setting approaches for obesity prevention: translation to best practice<br />

can be equity focused <strong>and</strong> reduce the socio - economic<br />

gradient that currently exists for almost all health<br />

outcomes.<br />

This approach can also positively influence individual<br />

behaviors through addressing the societal <strong>and</strong><br />

environmental influences at the community level.<br />

Interventions that target multiple aspects of individual<br />

environments have the ability to make the more<br />

health promoting options easier, <strong>and</strong> over time can<br />

also shift behavioral <strong>and</strong> cultural norms in a sustainable<br />

manner. Targeting environments also represents<br />

an upstream approach, as children in low - income<br />

families live in environments that limit social <strong>and</strong><br />

economic opportunities, access to healthy foods<br />

<strong>and</strong> opportunities for physical activity. 34 In the Shape<br />

Up Somerville intervention program, a significant<br />

reduction in z - BMI was seen after one year in the<br />

intervention children. 9 This intervention engaged<br />

the community widely <strong>and</strong> was specifically focused<br />

on changing children ’ s environments at school <strong>and</strong><br />

also enhancing access <strong>and</strong> availability of healthy eating<br />

<strong>and</strong> physical activity options throughout the entire<br />

day for children, including before - <strong>and</strong> after - school<br />

programs. 9 Also, as a result of the intervention, there<br />

were changes in the home <strong>and</strong> community, which<br />

provided reinforced opportunities for increased physical<br />

activity <strong>and</strong> improved access to more nutritious<br />

9<br />

food.<br />

Best p ractice r ecommendations<br />

for i ntervention a ctivities<br />

In their comprehensive synthesis of the evidence of<br />

reducing obesity <strong>and</strong> related chronic disease risk<br />

in children <strong>and</strong> youth, Flynn et al (2006) present recommendations<br />

for a broad range of sectors, organizations<br />

<strong>and</strong> health professionals, which are based on the<br />

available evidence <strong>and</strong> gaps in knowledge identified<br />

during the synthesis. With regard to intervention<br />

activities, the recommendations 29 can be summarized<br />

as follows:<br />

• Population-based interventions should be developed<br />

to balance, support <strong>and</strong> extend the current<br />

emphasis on individual - based programs.<br />

• <strong>Obesity</strong> prevention programs need to be developed<br />

with rigorous evaluation components in community<br />

<strong>and</strong> home settings where limited program<br />

activity is evident <strong>and</strong> effectiveness is unknown.<br />

• Interventions need long-term implementation <strong>and</strong><br />

follow - up to determine the sustainability of program<br />

impacts as on body weight.<br />

• To maximize funding <strong>and</strong> health impact, interventions<br />

should be developed within an integrated<br />

chronic disease prevention model <strong>and</strong> with a CBPR<br />

framework.<br />

• Program design process should be developed to<br />

allow continual incorporation of new elements<br />

associated with greater program effectiveness, using<br />

an action research model.<br />

Taking this further, Glass <strong>and</strong> McAtee have developed<br />

a multi - level three - dimensional framework to<br />

examine health behaviors <strong>and</strong> disease in social <strong>and</strong><br />

biological context. They challenge us to develop better<br />

theory <strong>and</strong> data to underst<strong>and</strong> how social factors regulate<br />

behaviors, or distribute individuals into risk<br />

groups, <strong>and</strong> how these social factors come to be<br />

embodied. 31 This is needed because while we are<br />

knowledgeable about the behaviors that lead to ill<br />

health <strong>and</strong> disease, relatively little is known about how<br />

these behaviors arise, become maintained <strong>and</strong> can<br />

be changed. By advancing the study of the social<br />

determinants, Glass <strong>and</strong> McAtee suggest that more<br />

effective population interventions can be developed.<br />

Accordingly, continuing to conduct interventions that<br />

attempt to alter health behaviors in isolation from the<br />

broader social <strong>and</strong> environmental context will continue<br />

to provide disappointing results. The authors<br />

emphasize the need to focus on the health behaviors<br />

<strong>and</strong> the mediating structures that lie between the<br />

behavioral sphere <strong>and</strong> the macro - social context. These<br />

mediating structures are termed “ risk regulators ”, <strong>and</strong><br />

in the obesity context are, for example, cultural norms,<br />

area deprivation, food availability, laws <strong>and</strong> policies,<br />

<strong>and</strong> workplace conditions. 31 These risk regulators<br />

influence the two key behaviors related to obesity,<br />

nutrition <strong>and</strong> physical activity, in a way that is dynamic<br />

<strong>and</strong> extends over the life course. Accordingly, population<br />

interventions to prevent obesity cannot attempt<br />

to influence health behaviors without attempting to<br />

address at least some of these risk regulators <strong>and</strong> a<br />

more contextual underst<strong>and</strong>ing of health behaviors<br />

<strong>and</strong> health service usage, for example, would increase<br />

the effectiveness of obesity prevention interventions<br />

<strong>and</strong> public health policies. 31<br />

There is growing recognition of the need for<br />

a common risk factor approach to public health<br />

61

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