On May 23, 2019, NCCOR hosted a Connect & Explore webinar to discuss the findings in a recent publication from the U.S. Department of Agriculture Economic Research Service called “Linking USDA Nutrition Databases to IRI Household-Based and Store-Based Scanner Data.” USDA researchers created a purchase-to-plate “crosswalk”—linking USDA data and household retail scanner data—to measure the overall healthfulness of American’s food-at-home (FAH) purchases. Results show that improvements in the healthfulness of Americans’ FAH purchases are needed to comply with federal dietary guidance. The speaker is Andrea Carlson, PhD, MS,an economist in the Food Markets Branch of the Food Economics Division.
This 6-part webinar series provides an overview of physical activity as a multidimensional health behavior; an in-depth review of methods to measure active and sedentary behaviors by self-report; and an exploration of important issues when assessing physical activity in diverse populations.
These modules are designed to complement the Measures Registry and Measures Registry User Guides and assist researchers and practitioners with choosing the best measures across the four domains of the Measures Registry: individual diet, food environment, individual physical activity and physical activity environment.
As part of the ODP’s 2012 Physical Activity and Disease Prevention Workshop: Identifying Research Priorities session #3: Measurement of Physical Activity Behavior, Dr. Intille discusses the devices that might be used to measure and study physical activity versus sedentary behavior.
This journal supplement summarizes and builds upon a workshop which convened researchers from diverse sectors and organizations. The supplement discusses current technologies for objective physical activity monitoring, provides recommendations for the use of these technologies, and explores future directions in the development of new tools and approaches.
It presents best practices for using physical activity monitors in population-based research, explores modeling of physical activity outcomes from wearable monitors, and discusses statistical considerations in the analysis of accelerometry-based activity monitor data. It also examines monitor equivalency issues and discusses current use and best practices for accelerometry with particular populations—children, older adults, and adults with functional limitations.
In this supplemental journal issue, Hughes et al., extend existing analysis and sample size estimation guidance for addressing treatment effects that vary over time to cohort stepped-wedge group-randomized trial designs, using the example of a trial to evaluate a multilevel intervention to address health disparities in blood pressure control.
Part one of the two-part series, Measuring Success in Low-Income Nutrition Education and Obesity Prevention Programs, explores how to use the framework to evaluate nutrition education and obesity prevention programs.
Part two, Strategies and Tools for Measuring the Priority Indicators, highlights the seven SNAP-Ed priority indicators from the Evaluation Framework and shares practical examples of measuring healthy eating behaviors, physical activity, and reduced sedentary behaviors in low-income children and families.