QuickStats: Percentage Distribution of Deaths Involving Injuries from Recreational and Nonrecreational Use of Watercraft, by Month — United States, 2018–2020

May 27, 2022

During 2018–2020, 1,508 deaths occurred involving injuries from recreational and nonrecreational use of watercraft.

The percentage of deaths each month ranged from 3.0% in December to 16.6% in July. Most deaths (68.6%) occurred during May–September.

Source: National Vital Statistics System, Mortality Data. https://www.cdc.gov/nchs/nvss/deaths.htm

https://www.cdc.gov/mmwr/volumes/71/wr/mm7121a5.htm


PODCAST: NHANES Pre-Pandemic Data Release, Part II

May 27, 2022

https://www.cdc.gov/nchs/pressroom/podcasts/2022/20220527/20220527.htm

(Based on the June 16, 2021, webinar, National Health and Nutrition Examination Survey 2017–March 2020 Pre-pandemic Data Release )

HOST:  On this edition of Statcast, we continue with the second part of the NHANES webinar, which focuses on the plans for the prepandemic and partial year 2020 data, with an overview of a published report from 2021 on health estimates from this data set, from Dr. Bryan Stierman

STIERMAN:  The health outcomes selected for estimates include for children, obesity and dental caries; for adults, hypertension, obesity, severe obesity, and diabetes; and for older adults, complete tooth loss. These health outcomes were selected for estimates because they were able to be calculated from the files currently released publicly available on the NHANES website.

Today we present estimates by several covariates including sex, age groups, race and Hispanic origin, and family income. Other covariates and stratification by sex are included in the accompanying National Health Statistics Report publication.

As is usual with NHANES analyses, to calculate these estimates we accounted for the complex, multistage probability design of NHANES, including the unequal probability of selection.

Provided sample weights were used for calculations. For estimates for diabetes, fasting sample weights were used. For all other estimates, examination simple weights for used. Standard errors were estimated using Taylor series linearization. And adult estimates were directly age-adjusted to the 2000 projected U.S. census population.

As would be expected, the overall estimates for each health outcome calculated for 2017 through March 2020 are similar to those from 2017 through 2018 alone. This reflects both the methodological adjustments, as well as the patterns in the prevalence estimates, which typically are not expected to vary by large amounts from when one year to the next in NHANES due to the relatively small sample size and a one-year data collection.

The data from 2017 through March 2020 provide an increase in sample size, generally about 1.5 to 2 times the sample size of that from 2017 through 2018 alone. As expected, this increase in sample size generally leads to smaller standard errors, as can be seen with all health outcomes here except for complete tooth loss. However, for some estimates in some demographic subgroups, increased variation in the sampling weights, increased variation in the true underlying population values of the health outcomes from the data added from 2019 through March 2020, or both may result in equivalent or increased variance of estimates, as seen here with complete tooth loss, which has equivalent standard errors from both time periods.

We found that 19.7% of children aged 2 through 19 years had obesity, defined as a body mass index greater than or equal to the 95th percentile for age and sex. There was no difference in obesity by sex. Obesity increased with increasing age groups. The highest prevalence of obesity was among non-Hispanic Black and Hispanic children. While non-Hispanic Asian children had a lower prevalence of obesity than other race and Hispanic origin groups, obesity decreased with increasing family income.

Dental caries in childhood was defined here as untreated or restored dental caries in one or more primary or permanent teeth. 46% of children aged 2 through 19 had dental caries. There is no difference in dental caries by sex. Dental caries increased with increasing age groups. Hispanic children had the highest prevalence of dental caries among children. And dental caries decreased with increasing family income. For hypertension, the estimates are based on a different methodology than those previously published for NHANES. Prior NHANES hypertension estimates have used an auscultatory protocol for blood-pressure measurements. During 2017 through 2018, both an auscultatory protocol, which utilizes a manually obtained blood pressure with a mercury sphygmomanometer, and an oscillometric protocol, which utilizes an automated machine to obtain blood pressure, were used. However, during 2019 through March 2020, only an oscillometric protocol was used. Therefore, blood-pressure measurements and hypertension estimates for the combined 2017-through-March 2020 pre-pandemic data required the use of the oscillometric protocol. The differences in these protocols and a comparison of the blood-pressure values from each protocol are available in a separate Series 2 report from NCHS.

We define hypertension here as meeting any of the following three conditions: a mean systolic blood pressure of greater than or equal to 130 millimeters of mercury, a mean diastolic blood pressure of greater than or equal to 80 millimeters of mercury, or taking a medication to lower blood pressure. Again, the blood pressure measurements were taken using an oscillometric protocol. During 2017 through March 2020, 45.1% of adults had hypertension. More men had hypertension then woman. Hypertension increased with increasing age. And Non-Hispanic Black adults had a higher prevalence of hypertension than other race and Hispanic origin groups.

We found that 41.9% of adults had obesity, defined as a body mass index greater than or equal to 30 kilograms per meter squared. There was no difference in obesity by sex or by age. Non-Hispanic Black adults had the highest prevalence of obesity. Non-Hispanic Asian adults had a lower prevalence of obesity than other race and Hispanic origin groups.

Severe obesity was defined here as a body mass index of greater than or equal to 40 kilograms per meter squared. During 2017-from-March 20, 9.2% of adults had severe obesity. More women had severe obesity than men. Severe obesity was less common in those aged 60 and above, compared to those aged 20 to 39, and those aged 40 through 59. The prevalence of severe obesity was highest among non-Hispanic Black adults, and the least among non-Hispanic Asian adults. Severe obesity was lowest among those with a family income of greater than 350% of the federal poverty level.

Diabetes was defined here as having previously been given a diagnosis of diabetes, having a fasting plasma glucose of greater than or equal to 126 milligrams per deciliter, or having a hemoglobin A1C greater than or equal to 6.5%. Fasting sample weights were used to calculate these estimates.

14.8% of adults had diabetes. The prevalence of diabetes was higher among men than women. The prevalence of diabetes increased with increasing age but decreased with increasing family income and the prevalence of diabetes was lower in non-Hispanic White adults compared to other race and Hispanic origin groups.

Complete tooth loss among adults aged 65 years and older was defined here as having no natural tooth, dental root fragment nor implanted tooth and was based on 28 teeth, excluding third molars. The prevalence of complete tooth loss was 13.8%. The prevalence did not differ by sex but did increase with age. Tooth loss was higher among non-Hispanic Black adults than non-Hispanic White adults but otherwise did not differ by race and Hispanic origin and tooth loss decreased with increasing family income.

So with regards to the future, more data releases are anticipated. These data releases will occur in several different forms. Other combined 2017-through-March 2020 pre-pandemic data are expected to be released on the NHANES website and would be treated like a probability sample. And provided sample weights should be used for analysis with these data.

In the future, this data would be released on the NHANES website along with the currently available data, which can be found under the NHANES 2017 through March 2020 Pre-pandemic data page.

In some cases, 2017-through-March 2020 pre-pandemic data determined to have disclosure risk will be released through the NCHS Research Data Center to ensure additional measures to protect confidentiality. For these data, which are treated like a probability sample, the provided sample weights should also be used for analyses.

For those data released as limited access data files, once released, information about the variables will be available on the NHANES website under limited-access files, under the 2017-to-March 2020 Pre-pandemic data page. However, the actual data will only be available through NCHS’s Research Data Center.

There are some measures that are unique to the 2019-through-March 2020 NHANES data collection. These cannot be combined with 2017-through-2018. And, for these measures, nationally representative estimates are not possible. These data will instead be released through the NCHS Research Data Center.

For these data, released as limited access data files, once released, information about the variables will be available on the NHANES website under limited-access files under the 2019-through-2020 data page. However, again, the actual data will only be available through NCHS’s Research Data Center.

And this can be found on the NCHS website. Information about accessing restricted data, including submission of research proposals, can be found here. Thank you.

HOST:  May has been a busy month, one in which several milestones were observed through NCHS data.  On May 11, full-year 2021 provisional data was released on drug overdose deaths in the country.  Drug deaths topped 107,000 last year, and fentanyl and other synthetic opioids were involved in two-thirds of those deaths.  Overdose deaths increased 15% in 2021, which was half the increase observed in 2020, when overdose deaths increased 30% from 2019.  In 2021, Alaska saw the biggest increase in overdose deaths – a 75% increase for the year.  Hawaii was the only state to have a decline in overdose deaths – a 1.8% drop from 2020.

On May 16, the United States reached a tragic milestone, topping the one million death mark for  COVID-related deaths since January 2020.  COVID-19 remains the 3rd leading cause of death for all Americans.

This month NCHS also documented that the number and rate of marriages in the U.S. during 2020 fell over 16% from 2019, and the number of marriages was the lowest in the country since 1963.  46 states and DC saw declines in marriage during 2020, and only four states – Montana, Utah, Texas, and Alabama – saw their marriage rates increase during 2020.  Nevada, as usual, had the highest marriage rate in the country during 2020 – but the rate dropped nearly 19% from 2019.

On May 24, NCHS released 2021 birth statistics for the nation, showing the first increase in the number of births and the general fertility rate in seven years.  The general fertility rate is the number of births per 1,000 women ages 15 to 44.  The teen birth rate continued to drop in 2021, marking the 28th year in the last 30 years that the birth rate for females ages 15-19 has declined.  While birth rates dropped in 2021 for women between ages 15 and 24, rates increased for women between ages 25 and 49.  Meanwhile, cesarean deliveries increased in 2021, and preterm birth rates also increased, to the highest level since 2007.

And last, NCHS released a report on sexual orientation and differences in access to care, health status, behaviors and beliefs.  The new study drew from three different NCHS data sources:  the National Health and Nutrition Examination Survey, the National Health Interview Survey, and the National Survey of Family Growth.  The research found that bisexual men and women, gay men, and lesbian women report smoking and heavy drinking and using marijuana and illicit stimulants more often than heterosexual people.  Lesbian and bisexual women reported diagnoses of arthritis, asthma, cancer, diabetes, heart disease, and hypertension more often than heterosexual women.  Bisexual women reported having been diagnosed with endometriosis, ovulation or menstrual problems, and pelvic inflammatory disease more often than heterosexual women.  Weight and other body measurements also differed by sexual orientation.

Thank you for tuning in to this month’s edition of “Statcast…”


New Study on Differences in Health by Sexual Orientation

May 25, 2022

Questions for Kevin Heslin, Health Statistician and Lead Author of “Sexual Orientation Differences in Access to Care and Health Status, Behaviors, and Beliefs: Findings from the National Health and Nutrition Examination Survey, National Survey of Family Growth, and National Health Interview Survey.”

Q: Why did you decide to do this report?

KH: Lesbian, gay, and bisexual (LGB) people have historically been underrepresented in national health surveillance systems, which has limited efforts to identify disparities in population health status and access to care by sexual orientation. However, the National Center for Health Statistics (NCHS) has included measures of sexual orientation in three nationally representative data systems for a number of years: National Health and Nutrition Examination Survey (NHANES), the National Survey of Family Growth (NSFG), and the National Health and Interview Survey (NHIS). These three surveys have complementary strengths that, when brought together in a single analysis, can provide a more KHThis is the first report to bring together national health statistics from three NCHS data systems for the purpose of analyzing these data by sexual identity. We wanted to show the breadth of topics that can be studied by researchers using NCHS data about the health of lesbian, gay, and bisexual (LGB) people.


Q: What did you find in your analysis?

KH: To a few, the analyses found that the association with sexual identity differed between men and women for several measures of health and access to care.

  • Mean body weight was lower in gay men than heterosexual men, but higher in lesbian and bisexual women than heterosexual women.
    • Gay men were more likely than heterosexual men to have received treatment for an STD in the previous 12 months, while lesbian women were less likely than heterosexual women to have received STD treatment in the last year.
    • Gay men reported having a usual place of medical care more often than heterosexual men. In contrast, both lesbian and bisexual women reported having this type of health care access less often than heterosexual women.
  • Other health measures showed similar associations according to LGB sexual orientation.
    • NHIS data showed that lesbian, gay, and bisexual adults all reported that they couldn’t afford common health services more often than heterosexual adults.
    • Bisexual men and women, gay men, and lesbian women all reported smoking and heavy drinking (NHIS) and using marijuana and illicit stimulants (NSFG) more often than heterosexual people.
  • There was some consistency in related health measures across the different data systems.
    • NHIS data showed that lesbian and bisexual women had higher lifetime prevalence of three conditions associated with overweight or obesity—diabetes, heart disease, and hypertension. These NHIS findings are consistent with findings from the NHANES physical examinations showing higher average body weight, waist circumference, and BMI in lesbian and bisexual women than heterosexual women.

Q: Is it fair to say that LGB people have more health problems and access to care problems than heterosexual people?

KH: There were some health measures that showed similar associations according to LGB sexual orientation. For instance, NHIS data showed that lesbian, gay, and bisexual adults all reported that they couldn’t afford common health services more often than heterosexual adults.

One of the strengths of this report was the stratification by sex. These findings suggest that the association of sexual identity with some indicators of health and access to care is different for men and women, which may have implications for the development of health programs and policies to reduce sexual orientation disparities and promote health equity. The results of this report also underscore how important it is to keep the bisexual and gay or lesbian categories separate in these kinds of analyses – in contrast to creating an overarching “sexual minority and heterosexual” categorization. Bisexual people were different from their gay or lesbian and heterosexual counterparts on several health indicators.

Additionally, there are other health problems and access to care problems that were beyond the scope of this report.


Q: What is the take-home message from this report?

KH: NHANES, NHIS, and NSFG enable research on topics relevant to the health of LGB people, which may inform efforts to advance health equity by focusing on disparities by sexual orientation.


Q: Are there plans for any follow-up research that looks into these issues further?

KH: NCHS data can support further health research relevant to LGB people. We analyzed a wide range of health-related topics in this report, but there’s more data and topics within all of these surveys to further advance health research.  These resources can help to monitor progress toward the goal of improving the health, safety, and well-being of LGB people.   


Births Rose for the First Time in Seven Years in 2021

May 24, 2022

The number of births in the United States and the general fertility rate increased for the first time in seven years during 2021. The data released today are featured by CDC’s National Center for Health Statistics (NCHS).

The new report, “Births: Provisional Data for 2021,” analyzes data from more than 99% of birth certificates issued during the year. The report shows a 1% increase in births from 2020, with 3,659,289 births recorded in 2021. The general fertility rate in 2021 was 56.6 births per 1,000 women ages 15–44, also up 1% from 2020. In contrast, the number of births and general fertility rate both declined 4% from 2019 to 2020.

Other findings in the new report:

  • Birth rates declined for women in the age groups between 15 and 24 years, rose for women in the age groups between 25 and 49 years, and were unchanged for adolescents aged 10-14 in 2021.
  • The birth rate for teenagers ages 15–19 declined by 6% in 2021 to 14.4 births per 1,000 females.
  • The teen birth rate has declined every year except for two (2006 and 2007) since 1991. The rates declined in 2021 for both younger (ages 15–17) and older (ages 18–19) teenagers.
  • The cesarean delivery rate increased to 32.1% in 2021. The low-risk cesarean delivery rate
    increased to 26.3%.
  • The preterm birth rate rose 4% in 2021 to 10.48%—the highest rate reported since at least 2007

QuickStats: Percentage of Adults Aged ≥18 Years Who Felt That Crime Makes It Unsafe to Walk, by Sex and Age Group — National Health Interview Survey, United States, 2020

May 20, 2022

In 2020, 11.0% of adults aged ≥18 years felt that crime made it unsafe for them to walk. Percentages were lower for men (8.9%) than for women (13.0%).

Men were less likely than women to feel unsafe walking because of crime in all age groups (18–24 years: 9.3% of men compared with 17.1% of women; 25–44 years: 10.1% of men compared with 14.1% of women; 45–64 years: 8.9% of men compared with 12.7% of women; ≥65 years: 6.5% of men compared with 9.9% of women).

Among both sexes, adults aged ≥65 years were less likely to feel unsafe to walk than those in younger age groups.

Source: National Center for Health Statistics, National Health Interview Survey, 2020. https://www.cdc.gov/nchs/nhis.htm

https://www.cdc.gov/mmwr/volumes/71/wr/mm7120a5.htm


Biggest Increase in the Marriage Rate During 2020 Occurred in… Montana?

May 16, 2022

There were many social and health markers that were significantly disrupted in 2020 with the arrival of the pandemic.  Increases in mortality and declines in people seeking medical care during 2020 are well-documented, as is the sharp decline in fertility.   Employment levels and other economic indicators were greatly impacted, as was the workplace itself.  Education at all levels was faced with unprecedented challenges in 2020. 

Another social marker greatly impacted by the pandemic was marriage in the United States.  The number of marriages in the country declined 16.8% between 2019 and 2020, from 2,015,603 to 1,676,911¹.  The 2020 number of marriages is the lowest recorded in the U.S. since 1963².  The marriage rate (the number of marriages per 1,000 population) fell 16.4% from 2019 to 2020, from 6.1 marriages per 1,000 to 5.1 per 1,000.

WHAT HAPPENS IN VEGAS DIDN’T HAPPEN AS MUCH IN 2020

At the state level, the declines in marriage rates were widespread³ – 46 states and the District of Columbia saw declines in marriage during 2020.  The biggest declines occurred in the following states: Hawaii (47.9%), California (43.9%), New Mexico (43.3%), New York (37.5%) and Louisiana (33.3%).  All the declines were statistically significant except for in three states:  Idaho, South Dakota, and Wyoming, where declines were only 2%.

The highest marriage rate in the U.S. in 2020, as in years past, belonged to Nevada – but the rate was down 18.9% in that state from 2019.

There were also four states in which the marriage rate increased in 2020: Montana (31.6%), Texas (8.2%), Alabama (7.5%) and Utah (3.7%).

Some of the changes in 2020 may be partly due to reporting issues, which also became a factor during the pandemic.

State-by-state comparisons are available on the CDC/NCHS web site at: https://www.cdc.gov/nchs/pressroom/stats_of_the_states.htm

¹ CDC/NCHS Vital Statistics System, https://www.cdc.gov/nchs/data/dvs/national-marriage-divorce-rates-00-20.pdf

² CDC/NCHS Vital Statistics System, https://www.cdc.gov/nchs/data/mvsr/supp/mv43_12s.pdf

³ CDC/NCHS Vital Statistics System, https://www.cdc.gov/nchs/data/dvs/state-marriage-rates-90-95-99-20.pdf


QuickStats: Percentage of Suicides and Homicides Involving a Firearm Among Persons Aged ≥10 Years, by Age Group — National Vital Statistics System, United States, 2020

May 13, 2022

In 2020, among persons aged ≥10 years, the percentage of suicide deaths that involved a firearm was lowest among those aged 25–44 years (45.1%) and highest among those aged ≥65 years (70.8%).

The percentage of homicide deaths that involved a firearm decreased with age, from 91.6% among those aged 10–24 years to 46.0% among those aged ≥65 years.

Persons aged ≥65 years had the highest percentage of suicide deaths that involved a firearm but the lowest percentage of homicide deaths that involved a firearm.

Source: National Vital Statistics System, Mortality Data, 2020. https://www.cdc.gov/nchs/nvss/deaths.htm

https://www.cdc.gov/mmwr/volumes/71/wr/mm7119a5.htm


Telemedicine Use in Children Aged 0–17 Years: United States, July–December 2020

May 10, 2022

Questions for Maria Villarroel, Health Statistician and Lead Author of “Telemedicine Use in Children Aged 0–17 Years: United States, July–December 2020.”

Q: Why did you decide to look at telemedicine among U.S. children during the pandemic?

MV: We know that telemedicine use expanded during the COVID-19 pandemic. Telemedicine became a key practice in health care that supports social distancing and decreases contact between health care staff and other patients for the receipt of health care services and reduce the spread of infection. However, there are limited estimates of telemedicine use, especially in children, and this report aims to address that gap.


Q: How did the data vary by age groups, income level and region?

MV: We examined telemedicine use in two ways: 1) telemedicine use in the past 12 months from the time of interview in July-December 2020, so this included both pre-pandemic and pandemic periods; and 2) telemedicine use because of reasons related to the coronavirus pandemic during the first year of the pandemic – 2020.

We found that telemedicine use in the past 12 months varied by age of the child and family income. Telemedicine use in the past 12 months was highest for younger children (aged 4 years and under) and older children (12 to 17 years), and lowest for children aged 5 to 11 years.  Telemedicine use in the past 12 months was highest for children with family incomes below the federal poverty level and at or above 400% of the federal poverty level, and lowest for children with family incomes at 100%–199% of the federal poverty level.  Although not statistically significant, a similar pattern by age was observed for telemedicine use due the pandemic, while telemedicine use due to the pandemic was highest for children with family income at or above 400% of the federal poverty level.

Telemedicine use in the past 12 months and telemedicine use because of the pandemic varied by region. Children living in the Northeast were more likely to have used telemedicine than children living in the Midwest and South regions, and similarly as likely to have used telemedicine as children living in the West region. 


Q: How did telemedicine use vary between urban and rural areas?

MV: In this study, we used the NCHS Urban–Rural Classification Scheme for Counties to classify urbanization level, and we compared telemedicine use in children living in large metropolitan areas, medium and small metropolitan areas, and nonmetropolitan areas.

We found that both telemedicine use in the past 12 months and telemedicine use because of the pandemic were lower in nonmetropolitan areas compared with metropolitan areas. But we also observed that the percentage point difference between metropolitan and nonmetropolitan areas was wider for the use of telemedicine because of the pandemic than for telemedicine use in the past 12 months. For example, we observed that children residing in metropolitan areas were more than two times as likely to have use of telemedicine because of the pandemic compared with children residing nonmetropolitan areas, but children in metropolitan areas were only about 1.3 to 1.4 more likely than children in nonmetropolitan areas to have used telemedicine in the past 12 months.   


Q: Do you have comparative trend data that goes further back than the second half of 2020?

MV: No. Telemedicine questions were introduced into the NHIS survey in July 2020 as one of the emerging public health topics affecting the United States related to the COVID-19 pandemic, which was declared in March 2020 by the World Health Organization.

Trend data on telemedicine use in children is limited.  Since April 2020, the experimental data system called the Household Pulse Survey, which is a collaboration between multiple federal agencies, began collecting data on telemedicine use in the past 4 weeks in households with at least one child under 18 years of age, among other social and economic impacts of the COVID-19 pandemic. 


Q: What is the main takeaway message here?

MV: Approximately 12.6 million children in the U.S.—corresponding to 17.5% of children aged 0–17 years—used telemedicine in the past 12 months from the time of interview in July-December 2020 (a period that included time before and during the coronavirus pandemic).  

Telemedicine use in the past 12 months varied by age of the child, family income, and region of the country.

Approximately 10.2 million U.S. children—corresponding to 14.1% of children aged 0–17 years—used telemedicine in 2020 because of the pandemic.

Telemedicine use because of the pandemic varied by education of the parents living with the child and region of the country and urbanization level of residence.

Telemedicine use in the past 12 months and because of the pandemic was higher for children with current asthma, a developmental condition, and disability.


QuickStats: Percentage of Adults Aged ≥18 Years Who Met the Federal Guidelines for Muscle-Strengthening Physical Activity, by Age Group and Sex — National Health Interview Survey, United States, 2020

May 6, 2022

In 2020, 35.2% of men and 26.9% of women aged ≥18 years met the federal guideline for muscle-strengthening physical activity.

The percentage of men who met the muscle-strengthening guideline decreased with age from 44.5% for those aged 18–44 years, to 29.9% for those aged 45–64 years, and to 22.0% for those aged ≥65 years.

The percentage also decreased with age among women from 34.1% for those aged 18–44 years, to 23.8% for those aged 45–64 years, and to 17.2% for those aged ≥65 years.

Men were more likely to have met the muscle-strengthening guideline than women in all age groups.

Source: National Center for Health Statistics, National Health Interview Survey, 2020. https://www.cdc.gov/nchs/nhis.htm

https://www.cdc.gov/mmwr/volumes/71/wr/mm7118a6.htm