Preventing Childhood Obesity - Evidence Policy and Practice.pdf
Preventing Childhood Obesity - Evidence Policy and Practice.pdf
Preventing Childhood Obesity - Evidence Policy and Practice.pdf
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<strong>Evidence</strong> framework for childhood obesity prevention<br />
Table 6.1 Types of evidence <strong>and</strong> information relevant to obesity prevention. 3<br />
Type of evidence or information<br />
Description<br />
Observational<br />
Observational epidemiology<br />
Monitoring <strong>and</strong> surveillance<br />
Epidemiological studies that do not involve interventions but may involve comparisons<br />
of exposed <strong>and</strong> non - exposed individuals, for example, cross - sectional, case - control,<br />
or cohort studies<br />
Population - level data that are collected on a regular basis to provide time series<br />
information, for example, mortality <strong>and</strong> morbidity rates, food supply data, car <strong>and</strong> TV<br />
ownership, birth weights <strong>and</strong> infant anthropometry<br />
Experimental<br />
Experimental studies<br />
Program/policy evaluation<br />
Intervention studies where the investigator has control over the allocations <strong>and</strong>/or<br />
timings of interventions, for example, r<strong>and</strong>omized controlled trials, or non - r<strong>and</strong>omized<br />
trials in individuals, settings, or whole communities<br />
Assessment of whether a program or policy meets both its overall aims (outcome) <strong>and</strong><br />
specific objectives (impacts) <strong>and</strong> how the inputs <strong>and</strong> implementation experiences<br />
resulted in those changes (process)<br />
Extrapolated<br />
Effectiveness analyses<br />
Economic analyses<br />
Indirect (or assumed) evidence<br />
Modeled estimates of the likely effectiveness of an intervention that incorporate data<br />
or estimates of the program efficacy, program uptake, <strong>and</strong> (for population<br />
effectiveness) population reach<br />
Modeled estimates that incorporate costs (<strong>and</strong> benefits), for example, intervention<br />
costs, cost – effectiveness, or cost – utility<br />
Information that strongly suggests that the evidence exists, for example, a high <strong>and</strong><br />
continued investment in food advertising is indirect evidence that there is positive (but<br />
proprietary) evidence that the food advertising increases the sales of those products<br />
<strong>and</strong>/or product categories<br />
Experience<br />
Parallel evidence<br />
Theory <strong>and</strong> program logic<br />
Informed opinion<br />
<strong>Evidence</strong> of intervention effectiveness for another public health issue using similar<br />
strategies, for example, the role of social marketing or policies or curriculum programs<br />
or financial factors on changing health - related behaviors such as smoking, speeding,<br />
sun exposure, or dietary intake. It also includes evidence about the effectiveness of<br />
multiple strategies to influence behaviors in a sustainable way, for example, health -<br />
promoting schools approach, comprehensive tobacco control programs, or<br />
coordinated road toll reduction campaigns.<br />
The rationale <strong>and</strong> described pathways of effect based on theory <strong>and</strong> experience, for<br />
example, linking changes in policy to changes in behaviours <strong>and</strong> energy balance, or<br />
ascribing higher levels of certainty of effect with policy strategies like regulation <strong>and</strong><br />
pricing compared with other strategies such as education<br />
The considered opinion of experts in a particular field, for example, scientists able to<br />
peer review <strong>and</strong> interpret the scientific literature, or practitioners, stakeholders, <strong>and</strong><br />
policy - makers able to inform judgments on implementation issues <strong>and</strong> modeling<br />
assumptions (incorporates “ expert ” <strong>and</strong> “ lay knowledge ” )<br />
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