Dataset Information

Complex Systems Approaches to Diet: A Systematic Review.

ABSTRACT: CONTEXT:Complex systems approaches can help to elucidate mechanisms that shape population-level patterns in diet and inform policy approaches. This study reports results of a structured review of key design elements and methods used by existing complex systems models of diet. EVIDENCE ACQUISITION:The authors conducted systematic searches of the PubMed, Web of Science, and LILACS databases between May and September 2018 to identify peer-reviewed manuscripts that used agent-based models or system dynamics models to explore diet. Searches occurred between November 2017 and May 2018. The authors extracted relevant data regarding each study's diet and nutrition outcomes; use of data for parameterization, calibration, and validation; results; and generated insights. The literature search adhered to PRISMA guidelines. EVIDENCE SYNTHESIS:Twenty-two agent-based model studies and five system dynamics model studies met the inclusion criteria. Mechanistic studies explored neighborhood- (e.g., residential segregation), interpersonal- (e.g., social influence) and individual-level (e.g., heuristics that guide food purchasing decisions) mechanisms that influence diet. Policy-oriented studies examined policies related to food pricing, the food environment, advertising, nutrition labels, and social norms. Most studies used empirical data to inform values of key parameters; studies varied in their approaches to calibration and validation. CONCLUSIONS:Opportunities remain to advance the state of the science of complex systems approaches to diet and nutrition. These include using models to better understand mechanisms driving population-level diet, increasing use of models for policy decision support, and leveraging the wide availability of epidemiologic and policy evaluation data to improve model validation.

SUBMITTER: Langellier BA

PROVIDER: S-EPMC6650152 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Complex Systems Approaches to Diet: A Systematic Review.

Langellier Brent A BA Bilal Usama U Montes Felipe F Meisel Jose D JD Cardoso Letícia de Oliveira LO Hammond Ross A RA

American journal of preventive medicine 20190801 2

<h4>Context</h4>Complex systems approaches can help to elucidate mechanisms that shape population-level patterns in diet and inform policy approaches. This study reports results of a structured review of key design elements and methods used by existing complex systems models of diet.<h4>Evidence acquisition</h4>The authors conducted systematic searches of the PubMed, Web of Science, and LILACS databases between May and September 2018 to identify peer-reviewed manuscripts that used agent-based mo ...[more]

PMID: 31326011

Similar Datasets

Project description:BackgroundIncreasing awareness of the complexity of public health problems, including obesity, has led to growing interest in whole systems approaches (WSAs), defined as those that consider the multifactorial drivers of overweight and obesity, involve transformative co-ordinated action across a broad range of disciplines and stakeholders, operate across all levels of governance and throughout the life course. This paper reports a systematic review of WSAs targeting obesity and other complex public health and societal issues, such as healthy lifestyles for prevention of non-communicable disease.MethodsSeven electronic databases were searched from 1995 to 2018. Studies were included if there had been an effort to implement a WSA. Study selection was conducted by one reviewer with a random 20% double checked. Data extraction and validity assessment were undertaken by one reviewer and checked by a second reviewer. Narrative synthesis was undertaken.ResultsSixty-five articles were included; 33 about obesity. Most examined multicomponent community approaches, and there was substantial clinical and methodological heterogeneity. Nevertheless, a range of positive health outcomes were reported, with some evidence of whole systems thinking. Positive effects were seen on health behaviours, body mass index (BMI), parental and community awareness, community capacity building, nutrition and physical activity environments, underage drinking behaviour and health, safety and wellbeing of community members, self-efficacy, smoking and tobacco-related disease outcomes. Features of successful approaches reported in process evaluations included: full engagement of relevant partners and community; time to build relationships, trust and capacity; good governance; embedding within a broader policy context; local evaluation; finance.ConclusionsSystems approaches to tackle obesity can have some benefit, but evidence of how to operationalise a WSA to address public health problems is still in its infancy. Future research should: (a) develop an agreed definition of a WSA in relation to obesity, (b) look across multiple sectors to ensure consistency of language and definition, (c) include detailed descriptions of the approaches, and (d) include process and economic evaluations.

Project description:BackgroundWhile frameworks exist for strengthening health care systems and public health systems, there are no practical frameworks to describe, assess and strengthen systems for chronic disease prevention (CDP) using complex systems approaches.MethodsA systematic and integrative review of peer reviewed literature was conducted to answer the following questions: How can systems for CDP be defined? What are key attributes of effective systems? How are complex systems approaches discussed? Search terms were identified and the Medline, SCOPUS, and Global Health databases were searched December 2017 and January 2018. Reference lists and selected journals were hand searched. A working definition for a system for CDP was developed to provide a guideline for inclusion. Key exclusion criteria were literature did not address the research questions or working definition; was published in a language other than English and before 2000; focused on specific chronic diseases and/or risk factors and not CDP broadly; concentrated on the health care sector and clinical services and/or health status and surveillance data; and described evaluations of setting specific actions such as policies, programs, interventions, approaches, projects, laws, or regulations. Selected literature (n = 141) was coded in terms of the extent to which the research questions and the working definition of systems for CDP were addressed. Data was then analysed and synthesized to determine key themes.ResultsA revised definition of systems for CDP and seven attributes of effective systems for CDP are reported (collaborative capacity, health equity paradigm, leadership and governance, resources, implementation of desired actions, information and complex systems paradigm). A framework was developed to provide a foundation for describing, assessing and strengthening systems for CDP.ConclusionsThe results of this literature review provide a strong foundation for a framework to help strengthen systems for CDP. The framework consolidates not only well-established attributes of effective CDP but also highlights theoretical and practical insights from complex systems perspectives.

Project description:BackgroundComplex interventions in health care are characterized by multiple interacting components as well as by numerous nonlinear interactions with the social systems within which they are being implemented. The process of developing, evaluating and implementing complex interventions is therefore challenging. Established guidance such as the MRC (Medical Research Council) framework for developing and evaluating complex interventions refers to process evaluations as an integral part of the development of complex evidence-based interventions. Even though the need for process evaluations is recognized, the realization of such approaches is challenging because methodological instruction is sparse, and the phenomenon of interest is complex. A number of theoretical approaches indicating how to conduct process evaluations of complex interventions in health care exist, but a systematic and comprehensive overview of these is missing. Thus, the objective of the systematic scoping review described herein is to provide an overview and analysis of theoretical approaches suitable for the planning and conducting of process evaluations.MethodsThe design and conduct of this review will follow the procedures of a systematic scoping review. The search strategy will be developed following the BeHEMoTh (Behaviour of interest; Health context; Exclusions; Models or Theories) template which has been conceptualized for structured reviews of theory. The systematic search of the MEDLINE (via PubMed), CINAHL (via EBSCO) and PsycInfo (via EBSCO) electronic databases will be complemented by "hand searching" techniques. Study selection, data extraction, and data analysis will be performed by tandems of two researchers independently of each other. Divergent decisions and judgements between the two researchers will be discussed by the whole review team.DiscussionThe findings from this scoping review will provide an overview and comparison of theoretical approaches suitable for process evaluations of complex interventions in health care. The review results will support researchers in choosing the theoretical approach that best fits the respective focus of their process evaluation study.Systematic review registrationThis study has been registered with PROSPERO (International Prospective Register of Systematic Reviews) under registration number CRD42020211732 .

Project description:Network medicine relies on different types of networks: from the molecular level of protein?protein interactions to gene regulatory network and correlation studies of gene expression. Among network approaches based on the analysis of the topological properties of protein?protein interaction (PPI) networks, we discuss the widespread DIAMOnD (disease module detection) algorithm. Starting from the assumption that PPI networks can be viewed as maps where diseases can be identified with localized perturbation within a specific neighborhood (i.e., disease modules), DIAMOnD performs a systematic analysis of the human PPI network to uncover new disease-associated genes by exploiting the connectivity significance instead of connection density. The past few years have witnessed the increasing interest in understanding the molecular mechanism of post-transcriptional regulation with a special emphasis on non-coding RNAs since they are emerging as key regulators of many cellular processes in both physiological and pathological states. Recent findings show that coding genes are not the only targets that microRNAs interact with. In fact, there is a pool of different RNAs-including long non-coding RNAs (lncRNAs) -competing with each other to attract microRNAs for interactions, thus acting as competing endogenous RNAs (ceRNAs). The framework of regulatory networks provides a powerful tool to gather new insights into ceRNA regulatory mechanisms. Here, we describe a data-driven model recently developed to explore the lncRNA-associated ceRNA activity in breast invasive carcinoma. On the other hand, a very promising example of the co-expression network is the one implemented by the software SWIM (switch miner), which combines topological properties of correlation networks with gene expression data in order to identify a small pool of genes-called switch genes-critically associated with drastic changes in cell phenotype. Here, we describe SWIM tool along with its applications to cancer research and compare its predictions with DIAMOnD disease genes.

Dataset Information

Complex Systems Approaches to Diet: A Systematic Review.

Publications

Complex Systems Approaches to Diet: A Systematic Review.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets