Provides easy access to national and state level CDC data on a range of key indicators of health and well-being for older adults, including caregiving, subjective cognitive decline, screenings and vaccinations, and mental health. These indicators provide a snapshot of currently available surveillance information and can be useful for prioritization and evaluation of public health interventions.
The nation’s premier system of health-related telephone surveys that collect state data about U.S. residents regarding their health-related risk behaviors, chronic health conditions, and use of preventive services.
Publicly available datasets relevant to childhood obesity research, including obesity-related health behaviors, outcomes, and determinants; and policies and environmental factors.
Provides up-to-date information on the prevalence and incidence of diabetes and prediabetes, risk factors for complications, acute and long-term complications, deaths, and costs. These data can help focus efforts to prevent and control diabetes across the United States. This report is continually updated as data become available and is intended for a scientific audience.
Visualize data and locate information critical to understanding minority health, health disparities, and their determinants. Data are collected from public health surveillance systems by using either their published reports or public use files.
A measure of diet quality, independent of quantity, that can be used to assess compliance with the U.S. Dietary Guidelines for Americans and monitor changes in dietary patterns. The HEI can also be used to evaluate nutrition interventions and consumer nutrition education programs.
A biomarker validation study of internet-based and conventional self-reports for assessing diet and physical activity.
A searchable database of diet and physical activity measures relevant to childhood obesity research.
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.
User guides to help researchers select measures for studies in obesity among youth, including an overview of measurement, principles of measurement selection, case studies and resources.
A catalog of recommended standard measures of phenotypes and environmental exposures for use in biomedical research. This includes common data elements for tobacco regulatory research, substance abuse and addiction, mental health research, sickle cell disease research, and social determinants of health.
A searchable database of community-based studies assessing known factors impacting rates of childhood obesity, providing information on the study design, measures, content areas, and populations examined.
Reports and publications from the Surgeon General covering a range of topics including substance abuse, tobacco, suicide prevention, disease prevention, mental health, violence, oral health, physical activity and nutrition, skin cancer, breastfeeding, healthy homes, prevention of pre-term birth, and health literacy.
Science Analysis System (SAS) code is available for analyzing Actigraph 7164 Physical Activity Monitor (PAM) data from the 2003–2004 National Health and Nutrition Examination Survey (NHANES). These programs are written to import and analyze accelerometer data downloaded from the National Center for Health Statistics (NCHS). Those who wish to use these programs with data downloaded directly from Actigraph 7164 accelerometers used in a different study must first convert the data into the appropriate format and merge the records from multiple accelerometers.
An obesity prevention toolkit that helps states identify evidence-based and emerging programs, strategies, and interventions.
Information and resources for measuring long-term average daily intake, or "usual intake, including an NCI-developed method for estimating usual dietary intakes of foods and nutrients using 24-hour recalls. This method can be used to:
- Estimate the distribution of usual intake for a population or subpopulation
- Assess the effects of individual covariates on consumption
- Predict individual intake for use in a model to assess the relationship between diet and disease or other variable using the statistical technique of regression calibration.