The objective of this research was to estimate the prevalence of weight misperception among adults using the most recent nationally representative data, according to measured weight category and to assess the relationship between weight misperception and race/ethnicity. Height and weight were measured as part of the 1999–2006 National Health and Nutrition Examination Survey. The study sample consisted of 17,270 adults aged ≥20 years. BMI was categorized as underweight (BMI < 18.5), healthy weight (18.5 ≤ BMI < 25), overweight (25 ≤ BMI < 30), and obese (BMI ≥ 30). Subjects reported self‐perception of weight status. Among study subjects, 31.7% of healthy weight adults, 38.1% of overweight adults, and 8.1% of obese adults incorrectly perceived their weight category. Among obese men, the odds of weight misperception were higher for non‐Hispanic blacks (odds ratio (OR) = 3.0; 95% confidence interval (CI) = 2.0–4.5) compared to non‐Hispanic whites and for persons with less than a high school education (OR = 2.1; 95% CI = 1.3–2.1), compared to those with some college education. Among obese women, the odds of weight misperception were higher for non‐Hispanic blacks (OR = 3.4; 95% CI = 1.4, 3.1) and Mexican Americans (OR = 1.9; 95% CI = 1.2, 3.2) compared to non‐Hispanic whites and for persons with less than high school education compared to those with some college education (OR = 5.5; 95% CI = 3.3–9.3). Weight misperception is highly prevalent in the US population, and more frequent in racial/ethnic minorities, males, and in persons with lower educational levels. Addressing the issue of weight misperception may help address the problem of obesity in the United States by increasing awareness of healthy weight levels, which may subsequently have an impact on weight‐related behavior change.

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The relative lack of standards for collecting data on population subgroups has not only limited our understanding of health disparities, but also impaired our ability to develop policies to eliminate them. This article provides background about past challenges to collecting data by race/ethnicity, primary language, sex, and disability status. It then discusses how passage of the Affordable Care Act has provided new opportunities to improve datacollection standards for the demographic variables of interest and, as such, a better understanding of the characteristics of populations served by the U.S. Department of Health and Human Services (HHS). The new standards have been formally adopted by the Secretary of HHS for application in all HHS-sponsored population health surveys involving self-reporting. The new data-collection standards will not only promote the uniform collection and utilization of demographic data, but also help the country shape future programs and policies to advance public health and to reduce disparities.

The American Association of Diabetes Educators hosted a Monitoring Symposium during which 18 invited participants considered pre-set questions regarding how diabetes education can more effectively address barriers to monitoring for people with diabetes and related conditions. This report provides a summary of the moderated discussion and highlights the key points that apply to diabetes educators and other providers involved with diabetes care. The participating thought leaders reviewed findings from published literature and participated in a moderated discussion with the aim of providing practical advice for health care practitioners regarding monitoring for people with diabetes so that the overall health of this population can be enhanced. The discussants also defined monitoring for diabetes as including that done by the clinician or laboratory, as well as self-monitoring. The discussion was distilled into key points that apply to diabetes educators and other providers involved with diabetes care. Participants developed specific recommendations for a self-monitoring behavior and monitoring framework. People with diabetes benefit from instruction and guidance about self-monitoring and decision making that is based on monitored results and informed interactions with providers. Importantly, collaboration among the entire diabetes care community is needed to ensure that monitoring is performed and utilized to its fullest advantage. Going forward, it will be critical to mitigate barriers to diabetes self-management and training and to identify linkages and partnerships to address barriers to self-monitoring.