Research Spotlights Blog

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Archived Research Spotlights by Year

2021 | 2020 | 2019 | 2018 | 2017 | 2016
Health Behavior Profiles of U.S. Adults; Self-management behavior and glucose control in Latinos with Type 2 diabetes; and International smoking and obesity-related mortality risk
High-fat diet increases pain behaviors, Income drives CVD risk in food deserts, Adolescent victimization impacts loneliness and sleep quality
Father loss and children’s DNA; Physical activity impacts lifetime risk of disease; social media derived food environments predict health outcomes
Loneliness can make you feel sicker, Global physical activity inequality, and Global trends in behavioral and social sciences related HIV/AIDS research
Physical activity and the economy; Children and digital tracking by strangers; Reducing opioid risk through education
Obesity-induced cognitive deficits reversible by low-fat diet; Social support for HIV suppression; Oral fluid rapid HIV self-testing and social media
Biobehavioral Processes of Appetite Control: In a special section of Obesity Journal, meeting participants from this meeting describe processes that can inform novel prevention and treatment approaches for obesity.
Best practices for mixed methods research in the health sciences has been the most frequently visited page on OBSSR’s website since this report was released in August 2011. Since that time, NIH/OBSSR funded eight short-course (R25) projects. One of these eight projects is Mixed Methods Research Training Program for the Health Sciences, at Johns Hopkins University and principal investigator Joseph Gallo, MD, MPH. Mixed-methods is a natural fit for interdisciplinary health research One key rationale for this short course and, overall, for mixed methods approaches, is, “Reliance on a single methodological stance is no longer tenable in an increasingly complex multicultural and interdisciplinary context, or in the translation and dissemination of population and behavioral research to broader applications and conditions.”
I have often wondered why theories of health behavior are not expressed mathematically as they are in other sciences (e.g., physics, economics).  Social Cognitive Theory (SCT) is among the most influential theories but it is expressed almost entirely in narrative form. The only conceptual schematic of SCT is a simplified and linear model that fails to capture the complex dynamic relations among SCT constructs.  We sought to change this with a paper published in the December 2016 issue of Translational Behavioral Medicine.