Framing the Local Context and Estimating the Health Impact of CPPW Obesity Prevention Strategies in Los Angeles County, 2010-2012

Kuo, Tony; Robles, Brenda; Trogdon, Justin G.; Ferencik, Rachel; Simon, Paul; Fielding, Jonathan E.

doi:10.1097/phh.0000000000000334

Cited by 17 publications

(46 citation statements)

References 21 publications

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“…Although all five furthered our understanding of the potential effects envisaged by intervening on the food, built, and socioeconomic environment, the one overarching takeaway from this research is that BMI varied by the type of intervention implemented and for each intervention; the impact of BMI appears to be further affected by geography (likely interactions with other interventions) and by the circumstances or contexts at the community level. This heterogeneity in findings is consistent with an emerging body of evidence suggesting that there is a need for additional study of strategy interventions on obesity outcomes, with a focus on understanding the interactions of interventions implemented at multiple levels and on the combining of these interventions to achieve aggregate effects (Table ) . Some of this work is already under way, seeking to confirm the collective health impact of using combination strategies to halt the obesity epidemic .…”

Section: Where the 5 Published Studies Fit In The Emerging Literaturesupporting

confidence: 67%

The Varying Effects of the Food, Built, and Socioeconomic Environment on BMI

Kuo

2019

Obesity

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Section: Where the 5 Published Studies Fit In The Emerging Literaturesupporting

confidence: 67%

The Varying Effects of the Food, Built, and Socioeconomic Environment on BMI

Kuo

2019

Obesity

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“…Only two computational models incorporated components representing natural systems. The PRISM model included particulate air pollution endogenously and pollution control regulations exogenously. The Virtual Population Obesity Prevention Lab implicitly incorporated weather as an exogenous factor influencing an agent's baseline probability to exercise.…”

Section: Resultsmentioning

confidence: 99%

A systematic review of system dynamics and agent‐based obesity models: Evaluating obesity as part of the global syndemic

et al. 2019

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Summary The problem of obesity has recently been reframed as part of the global syndemic—the co‐occurring, interacting pandemics of obesity, undernutrition, and climate change that are driven by common underlying societal drivers. System science modeling approaches may help clarify how these shared drivers operate and the best ways to address them. The objective of this paper was to determine to what extent existing agent‐based and system dynamics computational models of obesity provide insights into the shared drivers of the global syndemic. Peer‐reviewed studies published until July 2018 were identified from Scopus, Web of Science, and PubMed databases. Thirty‐eight studies representing 30 computational models were included. They show a growing use of system dynamics and agent‐based modeling in the past decade. They most often examined mechanisms and interventions in the areas of social network‐based influences on obesity, physiology and disease state mechanics, and the role of food and physical activity environments. Usefulness for identifying common drivers of the global syndemic was mixed; most models represented Western settings and focused on obesity determinants close to the person (eg, social circles, school settings, and neighborhood environments), with a relative paucity in models at mesolevel and macrolevel and in developing country contexts.

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“…PRISM calculates outcomes annually and cumulatively from 1990 through 2040 (7–10). PRISM was validated in several ways during its development and has been used to estimate the long-term impact of other community health programs, such as the Communities Putting Prevention to Work program (11) and public health prevention activities of the Los Angeles County Public Health Department (12).…”

Section: Methodsmentioning

confidence: 99%

Estimating the Relative Impact of Clinical and Preventive Community-Based Interventions: An Example Based on the Community Transformation Grant Program

et al. 2019

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Introduction Public health focuses on a range of evidence-based approaches for addressing chronic conditions, from individual-level clinical interventions to broader changes in policies and environments that protect people’s health and make healthy living easier. This study examined the potential long-term impact of clinical and community interventions as they were implemented by Community Transformation Grant (CTG) program awardees. Methods We used the Prevention Impacts Simulation Model, a system dynamics model of cardiovascular disease prevention, to simulate the potential 10-year and 25-year impact of clinical and community interventions implemented by 32 communities receiving a CTG program award, assuming that program interventions were sustained during these periods. Results Sustained clinical interventions implemented by CTG awardees could potentially avert more than 36,000 premature deaths and $3.2 billion in discounted direct medical costs (2017 US dollars) over 10 years and 109,000 premature deaths and $8.1 billion in discounted medical costs over 25 years. Sustained community interventions could avert more than 24,000 premature deaths and $3.4 billion in discounted direct medical costs over 10 years and 88,000 premature deaths and $9.1 billion in discounted direct medical costs over 25 years. CTG clinical activities had cost-effectiveness of $302,000 per death averted at the 10-year mark and $188,000 per death averted at the 25-year mark. Community interventions had cost-effectiveness of $169,000 and $57,000 per death averted at the 10- and 25-year marks, respectively. Conclusion Clinical interventions have the potential to avert more premature deaths than community interventions. However, community interventions, if sustained over the long term, have better cost-effectiveness.

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Framing the Local Context and Estimating the Health Impact of CPPW Obesity Prevention Strategies in Los Angeles County, 2010-2012

Abstract: Program context and PRISM-simulated health impacts showed modest but promising results in LAC, which may lead to further population health improvements in the future. Downstream health and behavioral surveillance data are needed to confirm these estimates.

Cited by 17 publications

References 21 publications

The Varying Effects of the Food, Built, and Socioeconomic Environment on BMI

The Varying Effects of the Food, Built, and Socioeconomic Environment on BMI

A systematic review of system dynamics and agent‐based obesity models: Evaluating obesity as part of the global syndemic

Estimating the Relative Impact of Clinical and Preventive Community-Based Interventions: An Example Based on the Community Transformation Grant Program

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