System dynamics modelling and its implications for childhood obesity prevention: evidence from improving the consumption of portion size and meal frequency

Abidin, Norhaslinda Zainal; Mamat, Mustafa; Izham, Tengku Hizam Tengku; Dangerfield, Brian; Baten, Md. Azizul

doi:10.12988/ams.2014.43247

Cited by 3 publications

(10 citation statements)

References 20 publications

(28 reference statements)

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“…An alternative method to quantify the contents of systems maps for decision making and intervention design are stock and flow diagrams [45], which have been applied to population health problems [46] [47]. Conversion of CLDs to stock and flow models, however, relies on assumptions and development of mathematical equations for elements in the model.…”

Section: Discussionmentioning

confidence: 99%

Quantifying a Systems Map: Network Analysis of a Childhood Obesity Causal Loop Diagram

et al. 2016

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Causal loop diagrams developed by groups capture a shared understanding of complex problems and provide a visual tool to guide interventions. This paper explores the application of network analytic methods as a new way to gain quantitative insight into the structure of an obesity causal loop diagram to inform intervention design. Identification of the structural features of causal loop diagrams is likely to provide new insights into the emergent properties of complex systems and analysing central drivers has the potential to identify leverage points. The results found the structure of the obesity causal loop diagram to resemble commonly observed empirical networks known for efficient spread of information. Known drivers of obesity were found to be the most central variables along with others unique to obesity prevention in the community. While causal loop diagrams are often specific to single communities, the analytic methods provide means to contrast and compare multiple causal loop diagrams for complex problems.

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Section: Discussionmentioning

confidence: 99%

Quantifying a Systems Map: Network Analysis of a Childhood Obesity Causal Loop Diagram

et al. 2016

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“…All 17 included studies were published in the last decade and eight were set in the United States (US). Seven studies included children, adolescents and adults, separating them into age cohorts where each age group transferred to the next cohort over time 46–52 ; seven articles examined children and adolescent populations 47,53–58 . Three studies investigated adolescents only 59–61 .…”

Section: Resultsmentioning

confidence: 99%

“…At the intrapersonal behavioral level, the simulation model on portion size and meal frequency was used to test whether the British target set for childhood OW/OB by 2020 could be reached. 53,54 They concluded that it could only be reached by 2026, but did not specify the interventions which could change the portion size and meal frequency. The simulation model on social transmission of OW/OB analyzed the effect on social transmissions of all combinations (n = 15) of prevention and treatment interventions targeting adults or children.…”

Section: Intervention Testing and Leverage Points For Ow/ob Preventionmentioning

confidence: 99%

“…Seven studies included children, adolescents and adults, separating them into age cohorts where each age group transferred to the next cohort over time [46][47][48][49][50][51][52] ; seven articles examined children and adolescent populations. 47,[53][54][55][56][57][58] Three studies investigated adolescents only. [59][60][61] Five studies only modeled etiology of childhood obesity 48,50,[60][61][62] and five studies only tested interventions to prevent childhood obesity, 52,[55][56][57][58] while seven studies did both 46,47,49,51,53,54,60 (Table 1).…”

Section: Characteristics Of the Included Studiesmentioning

confidence: 99%

“…However, only six of the studies specified any of the feedback loops underpinning their simulation model. 46,51,53,54,56,59…”

Section: Main Model Structures Of Factors and Mechanisms Driving Ow/obmentioning

confidence: 99%

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System dynamics simulation models on overweight and obesity in children and adolescents: A systematic review

Aguiar,

Gebremariam,

Romanenko

et al. 2023

Obesity Reviews

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SummaryIt has increasingly been recognized that developing successful obesity prevention policies and interventions requires understanding of the complex mechanisms driving the obesity pandemic and that models could be useful tools for simulating policies. This paper reviews system dynamics simulation models of mechanisms driving childhood overweight and obesity and/or testing of preventive interventions. A systematic literature search was conducted in six databases from inception to January 2023 using terms related to overweight/obesity, children, and system dynamics. Study descriptives, mechanisms, and where to intervene (the leverage points), as well as quality assessments of the simulation models were extracted by two researchers into a predetermined template and narratively synthesized. Seventeen papers describing 15 models were included. Models describing the mechanisms ranged from only intrapersonal factors to models cutting across multiple levels of the ecological model, but mechanisms across levels were lacking. The majority of interventions tested in the simulation models were changes to existing model parameters with less emphasis on models that alter system structure. In conclusion, existing models included mechanisms driving youth obesity at multiple levels of the ecological model. This is useful for developing an integrated simulation model combining mechanisms at multiple levels and allowing for testing fundamental system changes.

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Modelling the Prediction of Dengue Outbreak Using System Dynamics Approach

2016

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Dengue virus had become the dominant mosquito-borne disease in Malaysia. With no positive progress on the development of vaccine, other ways in dealing with the virus is to predict the next outbreak which is also the aim of this paper. This dengue model based on system dynamics approach gives valuable information to decision makers in determining the strategies for vector control. The array of factors involved such as temperature, rainfall and population density that significantly influence virus transmission, give opportunity for a system approach in providing answer to the complicated relationship which exist in dengue system. System dynamics dengue model is able to simulate reasonable and promising results, which can be used as basis for future researcher to model more accurate and detail dengue transmission control system.

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System dynamics modelling and its implications for childhood obesity prevention: evidence from improving the consumption of portion size and meal frequency

Cited by 3 publications

References 20 publications

Quantifying a Systems Map: Network Analysis of a Childhood Obesity Causal Loop Diagram

Quantifying a Systems Map: Network Analysis of a Childhood Obesity Causal Loop Diagram

System dynamics simulation models on overweight and obesity in children and adolescents: A systematic review

Modelling the Prediction of Dengue Outbreak Using System Dynamics Approach

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