High BMI z-Scores from Different Growth References Are Not Comparable: An Example from a Weight Management Trial with an Anti-Obesity Medication in Pubertal Adolescents with Obesity.

The BMI z-score is a standardized measure of weight status and weight change in children and adolescents. BMI z-scores from various growth references are often considered comparable, and differences among them are underappreciated. This study reanalyzed data from a weight management clinical study of liraglutide in pubertal adolescents with obesity using growth references from CDC 2000, CDC Extended, World Health Organization (WHO), and International Obesity Task Force.

Prevalence of Diabetes by BMI: China Nutrition and Health Surveillance (2015-2017) and U.S. National Health and Nutrition Examination Survey (2015-2018).

Introduction: The risk of diabetes begins at a lower BMI among Asian adults. This study compares the prevalence of diabetes between the U.S.

Differences in Intakes of Select Nutrients by Urbanization Level in the United States Population 2 Years and Older, NHANES 2013-2018.

Background: Differences in nutrient intakes by urbanization level in the Unites States is not well understood.

Objective: Describe, by urbanization level: 1) intake of protein, fiber, percent of energy from added sugars (AS) and saturated fat (SF), calcium, iron, potassium, sodium, and vitamin D; 2) the percent of the population meeting nutrient recommendations.

Methods: Twenty-four-hour dietary recalls from 23,107 participants aged 2 y and over from the 2013-2018 National Health and Nutrition Examination Surveys were analyzed.

Federal Housing Assistance and Chronic Disease Among US Adults, 2005-2018.

Introduction: Housing insecurity is associated with poor health outcomes. Characterization of chronic disease outcomes among adults with and without housing assistance would enable housing programs to better understand their population's health care needs.

Methods: We used National Health and Nutrition Examination Survey (NHANES) data from 2005 through 2018 linked to US Department of Housing and Urban Development (HUD) administrative records to estimate the prevalence of obesity, diabetes, and hypertension and to assess the independent associations between housing assistance and chronic conditions among adults receiving HUD assistance and HUD-assistance-eligible adults not receiving HUD assistance at the time of their NHANES examination.

Dietary contributions of food outlets by urbanization level in the US population aged 2 years and older-NHANES 2013-2018.

Background: Differences in food access, availability, affordability, and dietary intake are influenced by the food environment, which includes outlets where foods are obtained. These differences between food outlets within rural and urban food environments in the United States are not well understood.

Objectives: The aim of this analysis is to describe the contribution of foods and beverages from 6 outlets-grocery stores, convenience stores, full-service restaurants, quick-service restaurants, schools, and other outlets-to the total energy intake and Healthy Eating Index (HEI)-2015 scores in the United States population, by urbanization level (nonmetropolitan statistical areas [MSAs], small-to-medium MSAs, and large MSAs).

Evaluation of Alternative Body Mass Index (BMI) Metrics to Monitor Weight Status in Children and Adolescents With Extremely High BMI Using CDC BMI-for-age Growth Charts.

In the United States, obesity and severe obesity in children and adolescents are defined using threshold values from the 2000 Centers for Disease Control and Prevention (CDC) sex-specific body mass index (BMI)- for-age growth charts. BMI z-scores and percentiles from the 2000 CDC BMI-for-age growth charts are also used to monitor children's weight status over time and to evaluate obesity treatments. Parameters to calculate percentiles and corresponding z-scores (BMIz) were derived from selected percentiles between the 3rd and 97th.

Body fat differences among US youth aged 8-19 by race and Hispanic origin, 2011-2018.

Background: The association between body mass index (BMI) and adiposity differs by race/ethnicity.

Objective: To examine differences in adiposity by race/Hispanic origin among US youth and explore how those differences relate to differences in BMI using the most recent national data, including non-Hispanic Asian youth.

Methods: Weight, height and DXA-derived fat mass index (FMI) and percentage body fat (%BF) from 6923 youth 8-19 years in the National Health and Nutrition Examination Survey (NHANES) 2011-2018 were examined.

Use of prescription medications associated with weight gain among US adults, 1999-2018: A nationally representative survey.

Objective: This study aimed to evaluate trends in the use of obesogenic medications among adults.

Methods: Cross-sectional data on adults aged ≥20 years are from the 1999 to 2018 National Health and Nutrition Examination Survey (n = 52,340). Obesogenic medications were defined according to the 2015 Endocrine Society guidelines on the pharmacological management of obesity.

Changes in adiposity among children and adolescents in the United States, 1999-2006 to 2011-2018.

Background: Data from the NHANES indicate that BMI has increased in some subgroups of children and adolescents in the United States over the past 20 y; however, BMI is an indirect measure of body fatness.

Objectives: We assessed changes in DXA-derived measures of adiposity in a nationally representative population of US children and adolescents aged 8-19 y from 1999-2006 to 2011-2018.

Methods: Using data from the NHANES, we compared the means and distributions of DXA-derived percentage body fat (%BF) and fat mass index (FMI; fat mass/height2 in kg/m2) between 1999-2006 (n = 10,231) and 2011-2018 (n = 6923) among males and females by age group, race and Hispanic origin, and BMI categories.

National Health and Nutrition Examination Survey 2017-March 2020 Prepandemic Data Files-Development of Files and Prevalence Estimates for Selected Health Outcomes.

Background And Objectives: In March 2020, the coronavirus disease 2019 (COVID-19) pandemic halted National Health and Nutrition Examination Survey (NHANES) field operations. As data collected in the partial 2019-2020 cycle (herein referred to as 2019-March 2020) are not nationally representative, they were combined with previously released 2017-2018 data to produce nationally representative estimates. This report explains the creation of the 2017-March 2020 prepandemic data files, provides recommendations for and limitations of the files' use, and presents prevalence estimates for selected health outcomes based on the files.

Prescription medication use among Canadian children and youth, 2012 to 2017.

Background: Prescription medications are used throughout the life course, including among children and youth. Prescribing practices may be influenced by emerging medical conditions, the availability of new medications, changing clinical practices, and evolving knowledge of the safety and effectiveness of medications. The Canadian Health Measures Survey (CHMS) provides national-level information to help monitor the use of prescribed medications in the population.

Special Diets Among Adults: United States, 2015-2018.

To help achieve and maintain a healthy body weight, support nutrient adequacy, and reduce the risk of chronic disease, the 2015-2020 Dietary Guidelines for Americans recommend following a healthy eating pattern across the lifespan (1). Some people adhere to specific eating patterns, otherwise known as special diets, for the purposes of weight loss or other health-related reasons. This report shows the percentage of U.

Dietary Supplement Use in Children and Adolescents Aged ≤19 Years - United States, 2017-2018.

Dietary supplement use is common among children and adolescents. During 2013-2014, approximately one third of children and adolescents (persons aged ≤19 years) in the United States were reported to use a dietary supplement in the past 30 days, and use varied by demographic characteristics (1,2). Dietary supplements can contribute substantially to overall nutrient intake, having the potential to both mitigate nutrient shortfalls as well as to lead to nutrient intake above recommended upper limits (3).

A method for calculating BMI z-scores and percentiles above the 95 percentile of the CDC growth charts.

Background: The 2000 CDC growth charts are based on national data collected between 1963 and 1994 and include a set of selected percentiles between the 3 and 97 and LMS parameters that can be used to obtain other percentiles and associated z-scores. Obesity is defined as a sex- and age-specific body mass index (BMI) at or above the 95 percentile. Extrapolating beyond the 97 percentile is not recommended and leads to compressed z-score values.

Trends in Obesity Prevalence by Race and Hispanic Origin-1999-2000 to 2017-2018.

This study uses NHANES data to assess trends in obesity and severe obesity stratified by race and Hispanic origin among US residents from 1999 to 2018.

Prevalence of Prescription Pain Medication Use Among Adults: United States, 2015-2018.

Prescription pain medications are used to treat pain due to injury, surgery, and health conditions, such as arthritis and cancer. While opioids may be prescribed together with nonopioid pain medications, nonpharmacologic and nonopioid-containing pharmacologic therapies are preferred for management of chronic pain, where appropriate (1). This report shows the percentage of U.

Prevalence of Obesity and Severe Obesity Among Adults: United States, 2017-2018.

Obesity is associated with serious health risks (1). Severe obesity further increases the risk of obesity-related complications, such as coronary heart disease and end-stage renal disease (2,3). From 1999-2000 through 2015-2016, a significantly increasing trend in obesity was observed (4).

Prescription Drug Use Among Adults Aged 40-79 in the United States and Canada.

Patterns of prescription drug use may reflect underlying patterns of health conditions and health care access in the population. Polypharmacy, often defined as the simultaneous use of five or more prescription drugs, is more common in an aging population where multiple coexisting chronic conditions often occur; however, safety concerns may arise (1). The United States and Canada share many cultural and historical ties, but with different models for health care delivery (2).

Prescription Drug Use in the United States, 2015-2016.

Monitoring prescription drug use patterns at the population level (1) can inform research and clinical practice. These patterns may shift over time in response to changing health needs, updated clinical guidelines (2), policy changes, and other factors (1,3). The percentage of the U.

Diabetes and Prediabetes Among Adults in Los Angeles County and the United States, 1999-2006 and 2007-2014.

Objective-This report presents the prevalence of diagnosed diabetes, undiagnosed diabetes, total diabetes, and prediabetes among adults aged 20 and over in Los Angeles County and the United States in 1999-2006 and 2007-2014. The prevalence of diagnosed diabetes, total diabetes, and prediabetes in 2007-2014 are presented by age, sex, and race and Hispanic origin. Methods-Data are from in-home interviews and laboratory testing conducted as part of the National Health and Nutrition Examination Survey (NHANES).

Differences in Obesity Prevalence by Demographic Characteristics and Urbanization Level Among Adults in the United States, 2013-2016.

Importance: Differences in obesity by sex, age group, race and Hispanic origin among US adults have been reported, but differences by urbanization level have been less studied.

Objectives: To provide estimates of obesity by demographic characteristics and urbanization level and to examine trends in obesity prevalence by urbanization level.

Design, Setting, And Participants: Serial cross-sectional analysis of measured height and weight among adults aged 20 years or older in the 2001-2016 National Health and Nutrition Examination Survey, a nationally representative survey of the civilian, noninstitutionalized US population.