Introduction: Addressing nutrition disparities and preventing obesity require multi-level interventions, including policies that address the nutrition environment and other social determinants of health. The Nutrition and Obesity Policy Research Evaluation Network (NOPREN) was established in 2009 to conduct transdisciplinary research and accelerate the translation and implementation of science-based policy interventions. This study examined NOPREN's collaborative practices and identified opportunities to improve network impact.
Methods: Using a mixed-methods approach, we combined quantitative survey data (n = 106) and in-depth, qualitative interviews (n = 18) to evaluate the experiences of NOPREN members and understand the extent to which NOPREN was achieving its goals.
Results: Using the Consolidated Framework for Collaborative Research (CFCR), quantitative and qualitative results were organized into 11 themes. We find that NOPREN's structure and standardized processes facilitate connections to individuals and resources, foster relationships, and support effective cross-sector collaborations. Areas of improvement include capacity building and a more intentional approach towards recruitment of a diverse membership.
Conclusion: A collaborative research network can build synergy across sectors and accelerate knowledge transfer. These findings will be used to inform the network's strategic priorities to maximize impact. Findings may also inform similar collaborative efforts for addressing complex public health problems.
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http://dx.doi.org/10.1186/s12889-023-15148-2 | DOI Listing |
J Am Geriatr Soc
December 2024
Division of Geriatric and Palliative Medicine, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Iran Biomed J
December 2024
Liver and Gastrointestinal Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Mol Med
December 2024
Center for Cancer Immunology, Institute of Biomedicine and Biotechnology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
Metabolic syndrome (MetS) is an indicator and diverse endocrine syndrome that combines different metabolic defects with clinical, physiological, biochemical, and metabolic factors. Obesity, visceral adiposity and abdominal obesity, dyslipidemia, insulin resistance (IR), elevated blood pressure, endothelial dysfunction, and acute or chronic inflammation are the risk factors associated with MetS. Abdominal obesity, a hallmark of MetS, highlights dysfunctional fat tissue and increased risk for cardiovascular disease and diabetes.
View Article and Find Full Text PDFSci Rep
December 2024
School of Public Health, Faculty of Medicine, Imperial College London, London, UK.
Although studies have examined the association of the Relative Fat Mass (RFM, a novel anthropometric index used as a surrogate for whole-body fat percentage) with all-cause mortality, the association of RFM with diabetes-related mortality and heart disease mortality has not been thoroughly investigated. In addition, no study has compared the associations of RFM and waist circumference (a surrogate for intra-abdominal fat) with cause-specific mortality and all-cause mortality. In the present study, we addressed these knowledge gaps.
View Article and Find Full Text PDFJ Gastroenterol Hepatol
December 2024
Department of Nutritional Sciences, University of Connecticut, Storrs, Connecticut, USA.
Aim: The goal of this study was to determine the role of histone deacetylase 9 (HDAC9) in the development of diet-induced metabolic dysfunction-associated steatohepatitis (MASH) and white adipose tissue (WAT) dysfunctions.
Methods: We fed male and female mice with global Hdac9 knockout (KO) and their wild-type (WT) littermates an obesogenic high-fat/high-sucrose/high-cholesterol (35%/34%/2%, w/w) diet for 20 weeks.
Results: Hdac9 deletion markedly inhibited body weight gain and liver steatosis with lower liver weight and triglyceride content than WT in male mice but not females.
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