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

February 27, 2020

Questions for Craig Hales, Health Statistician and Lead Author of “Prevalence of Obesity and Severe Obesity Among Adults: United States, 2017–2018.”

Q: How has the prevalence of obesity and severe obesity in U.S. adults changed since 1999-2000?

CH: The prevalence of obesity and severe obesity among U.S. adults increased since 1999-2000.  The prevalence of obesity was 30.5% among adults in 1999-2000 and increased more than 10 percentage points to 42.4% in 2017-2018.  The prevalence of severe obesity among adults almost doubled from 4.7% in 1999-2000 to 9.2% in 2017-2018.  The prevalence for obesity and severe obesity in 2017-2018 is the highest ever reported among all U.S. adults.


Q: Can you explain the differences between obesity and severe obesity?

CH: The definitions of obesity and severe obesity are based on the body mass index, or BMI, which is based on your weight and your height.  Obesity is defined as having a BMI of 30 or higher, and severe obesity is defined as having a BMI of 40 or higher.


Q: How far back do you have obesity trend data?

CH: The trends reported in this data brief go back to 1999-2000, which is when NHANES began running as a continuous survey.  However, NHANES began collecting height and weight data among adults aged 20-74 in 1960-1962.  At that time, obesity prevalence was 13.4% and severe obesity prevalence was 0.9%.


Q: Was there a specific finding in the data that surprised you?

CH:  What I found most striking is that more than 40% of adults in the US had obesity in 2017-2018, which is more than 10 percentage points higher than the prevalence was in 1999-2000.  The prevalence of severe obesity among adults has almost doubled from 4.7% in 1999-2000 to 9.2% in 2017-2018.  The prevalence of obesity and severe obesity in 2017-2018 is the highest ever reported among all U.S. adults.


Q: When will you have 2017-2018 children’s obesity data available?

CH:  NHANES height and weight data for children and adolescents are currently available on the NHANES website.  Estimates for obesity and severe obesity among children and adolescents will be published in the near future.


Q:  Anything else you’d like to note about the new report?

CH:  Measured height and weight is the gold standard for generating accurate estimates of obesity prevalence.  The National Health and Nutrition Examination Survey is unique in that it combines both interviews in the home and physical examinations in mobile examination centers, and it is the only national survey where people’s height and weight are physically measured.

Other surveys report obesity prevalence based on self-reported height and weight, but several studies have found serious inaccuracies with self-reported or proxy-reported height and weight.  Among adults, self-reported height tends to be overreported and weight is underreported, although misreporting can vary among subgroups of the population – but this misreporting leads to underestimates of obesity prevalence.


QuickStats: Age-Adjusted Percentage of Adults Aged 25 Years or Older Who Saw a Dentist in the Past Year by Education Level and Sex

February 21, 2020

In 2018, among adults aged 25 years or older, women (69.4%) were more likely than men (61.2%) to have seen a dentist in the past year.

The percentage of men and women who saw a dentist in the past year increased as education level increased. Among women, those with a Bachelor’s degree or higher were the most likely to have seen a dentist in the past year (82.5%) and those with less than a high school education were least likely (51.4%).

Among men, the same pattern prevailed (74.6% compared with 41.9%).

Within each education group, the percentage of women who saw a dentist in the past year was higher than the percentage of men.


Prevalence of Children Aged 3–17 Years With Developmental Disabilities, by Urbanicity: United States, 2015–2018

February 19, 2020

Questions for Ben Zablotsky, Ph.D., Health Statistician and Lead Author of “Prevalence of Children Aged 3–17 Years With Developmental Disabilities, by Urbanicity: United States, 2015–2018.”

Q: Why did you decide to focus on urbanicity among children with developmental disabilities?

BZ: Thanks to previous research, we know that children with developmental disabilities typically require more health care and educational services than their typically developing peers, and we also know that children living in rural areas have greater unmet medical needs when compared to children living in urban areas.  For these two reasons, it is possible, that children with developmental disabilities living in rural areas could represent some of the most vulnerable when it comes to receiving a variety of health care services.  This report attempts to answer this question, by exploring the prevalence of selected developmental disability conditions and use of related services in rural and urban areas.  It serves as a follow-up to a previous Pediatrics article written by myself and Lindsey Black, along with colleagues from the National Center for Health Statistics, National Center on Birth Defects and Developmental Disabilities, and the Maternal and Child Health Bureau, titled “Prevalence and Trends of Developmental Disabilities among Children in the United States: 2009-2017


Q: How did you obtain this data for this report and what is considered a developmental disability?

BZ: Data come from the 2015-2018 National Health Interview Survey, a timely and nationally representative survey.  Developmental disabilities examined in this report were attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, blindness, cerebral palsy, moderate to profound hearing loss, learning disability, intellectual disability, seizures in the past 12 months, stuttering or stammering in the past 12 months, or any other developmental delay. Children whose parents answered that their child had one or more of these conditions were classified as having any “developmental disability.”


Q: Can you summarize how the data varied by types of developmental disabilities and service utilization in rural and urban areas?

BZ: During 2015-2018, children were more likely to be diagnosed with ADHD and cerebral palsy in rural areas than urban areas.  Meanwhile, children with developmental disabilities living in rural areas were less likely to have seen a mental health professional, therapist, or had a well-child check-up in the past 12 months than their urban peers.  Children with developmental disabilities in rural areas were also less likely to be receiving Special Education or Early Intervention Services.


Q: Was there a specific finding in the data that surprised you?

BZ: Children with developmental disabilities often need specialty and mental health services.  It was surprising to see that approximately half of children with developmental disabilities living in rural areas had not seen a mental health professional, specialist, or therapist in the past year.


Q: What is the take home message for this report?

BZ: There was a higher prevalence of children with developmental disabilities in rural areas compared with urban areas. Furthermore, among children with developmental disabilities, those living in rural areas were less likely to use a range of health care and educational services compared with their urban peers.  Additional research exploring the pathways to the diagnosis and treatment of developmental disabilities in both urban and rural areas, with a focus on the availability of resources to pay for services as well as access to trained specialty providers, could provide insight into the disparities seen in this report.


QuickStats: Percentage of Emergency Department Visits for Acute Viral Upper Respiratory Tract Infection at Which an Antimicrobial Was Given or Prescribed by Age — United States, 2010–2017

February 14, 2020

From 2010–2013 to 2014–2017, the percentage of emergency department (ED) visits for acute viral upper respiratory tract infection that had an antimicrobial given or prescribed, hereafter referred to as ED visits, decreased from 23.4% to 17.6%.

A decline was also seen for ED visits by children, decreasing from 17.9% to 10.1%, but a decline was not seen for ED visits by adults. In both periods, the percentage of ED visits by adults was higher than the percentage of ED visits by children.

Source: National Center for Health Statistics. National Hospital Ambulatory Medical Care Survey, 2010–2017. ftp://ftp.cdc.gov/pub/Health_Statistics/NCHS/Datasets/NHAMCS.

https://www.cdc.gov/mmwr/volumes/69/wr/mm6906a6.htm


Provisional Drug Overdose Death Counts (thru July 2019)

February 12, 2020

NCHS today published its monthly provisional estimates on drug overdose deaths in the United States, for the one-year period ending in July 2019.

Final data on drug overdose deaths are not expected to be available until later in the year.

Provisional Drug Overdose Death Counts (thru July 2019)


Problems Paying Medical Bills, 2018

February 12, 2020

Questions for Amy Cha, Health Statistician and Lead Author of “Problems Paying Medical Bills, 2018,”

Q: What was the significance of studying persons in families having problems paying medical bills?

AC: Previously published data from the National Health Interview Survey (NHIS) found that in 2017 one in seven persons under age 65 was in a family having problems paying medical bills. Persons who are in families with problems paying medical bills may also experience serious financial consequences, such as difficulties paying for food and housing, or filing for bankruptcy.


Q: How did the data vary by gender, race and age groups?

AC: The percentage of persons who were in families having problems paying medical bills was higher among females, children aged 0-17 years, and non-Hispanic blacks than among males, adults, and other racial and ethnic groups, respectively.


Q: Was there a specific finding in the data that surprised you?

AC: We were surprised that almost 30% of uninsured children and 27% of uninsured adults (aged 18-64) were in families having problems paying medical bills.


Q: How did you obtain this data for this report?

AC: The data for this report came from the 2011-2018 NHIS, a nationally representative, household survey of the civilian noninstitutionalized U.S. population. NHIS is a multipurpose health survey conducted continuously throughout the year by the National Center for Health Statistics. Most interviews are conducted in person in respondent’s homes.


Q: What is the take home message for this report?

AC: The percentages of persons who were in families having problems paying medical bills varied by health insurance type. Among persons under age 65, those who were uninsured were more likely that those with Medicaid or private coverage to have problems paying medical bills, and among adults aged 65 and over, those with Medicare and Medicaid, and Medicare only were more likely than those with Medicare Advantage or private coverage to have problems paying medical bills.


QuickStats: Percentage of Adults Aged 18–64 Years with a Usual Place for Health Care by Race/Ethnicity

February 7, 2020

Although the percentage of Hispanic adults aged 18–64 years who had a usual place to go for medical care was higher in 2018 (74.1%) than in 2008 (67.3%), Hispanic adults remained the least likely to have a usual place to go for medical care.

Non-Hispanic white adults were the most likely to have a usual place for medical care in both 2008 (85.0%) and 2018 (85.5%).

In 2008, 78.7% of non-Hispanic black adults had a usual place for health care compared with 80.4% in 2018.

Source: National Health Interview Survey, 2008 and 2018 data. https://www.cdc.gov/nchs/nhis.htm.

https://www.cdc.gov/mmwr/volumes/69/wr/mm6905a6.htm