Mmwr Surveillance Summaries最新文献

{"title":"Suicidal Thoughts and Behaviors Among Adults Aged ≥18 Years - United States, 2015-2019.","authors":"Asha Z Ivey-Stephenson, Alex E Crosby, Jennifer M Hoenig, Shiromani Gyawali, Eunice Park-Lee, Sarra L Hedden","doi":"10.15585/mmwr.ss7101a1","DOIUrl":"https://doi.org/10.15585/mmwr.ss7101a1","url":null,"abstract":"<p><strong>Problem/condition: </strong>Suicidal thoughts and behaviors are important public health concerns in the United States. In 2019, suicide was the 10th leading cause of death among persons aged ≥18 years (adults); in that year, 45,861 adults died as a result of suicide, and an estimated 381,295 adults visited hospital emergency departments for nonfatal, self-inflicted injuries. Regional- and state-level data on self-inflicted injuries are needed to help localities establish priorities and evaluate the effectiveness of suicide prevention strategies.</p><p><strong>Period covered: </strong>2015-2019.</p><p><strong>Description of system: </strong>The National Survey on Drug Use and Health (NSDUH) is an annual survey of a representative sample of the civilian, noninstitutionalized U.S. population aged ≥12 years. NSDUH collects data on the use of illicit drugs, alcohol, and tobacco; initiation of substance use; substance use disorders and treatment; health care; and mental health. This report summarizes data on responses to questions concerning suicidal thoughts and behaviors contained in the mental health section among sampled persons aged ≥18 years in all 50 states and the District of Columbia. This report summarizes 2015-2019 NSDUH data collected from 254,767 respondents regarding national-, regional-, and state-level prevalence of suicidal thoughts, planning, and attempts by age group, sex, race and ethnicity, region, state, education, marital status, poverty level, and health insurance status.</p><p><strong>Results: </strong>Prevalence estimates of suicidal thoughts and behaviors varied by sociodemographic factors, region, and state. During 2015-2019, an estimated 10.6 million (annual average) adults in the United States (4.3% of the adult population) reported having had suicidal thoughts during the preceding year. The prevalence of having had suicidal thoughts ranged from 4.0% in the Northeast and South to 4.8% in the West and from 3.3% in New Jersey to 6.9% in Utah. An estimated 3.1 million adults (1.3% of the adult population) had made a suicide plan in the past year. The prevalence of having made suicide plans ranged from 1.0% in the Northeast to 1.4% in the Midwest and West and from 0.8% in Connecticut and New Jersey to 2.4% in Alaska. An estimated 1.4 million adults (0.6% of the adult population) had made a suicide attempt in the past year. The prevalence of suicide attempts ranged from 0.5% in the Northeast to 0.6% in the Midwest, South, and West and from 0.3% in Connecticut to 0.9% in West Virginia. Past-year prevalence of suicidal thoughts, suicide planning, and suicide attempts was higher among females than among males, higher among adults aged 18-39 years than among those aged ≥40 years, higher among noncollege graduates than college graduates, and higher among adults who had never been married than among those who were married, separated, divorced, or widowed. Prevalence was also higher among those living in poverty than among ","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"71 1","pages":"1-19"},"PeriodicalIF":24.9,"publicationDate":"2022-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8736267/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39902890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Early Identification of Autism Spectrum Disorder Among Children Aged 4 Years - Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2018.","authors":"Kelly A Shaw, Matthew J Maenner, Amanda V Bakian, Deborah A Bilder, Maureen S Durkin, Sarah M Furnier, Michelle M Hughes, Mary Patrick, Karen Pierce, Angelica Salinas, Josephine Shenouda, Alison Vehorn, Zachary Warren, Walter Zahorodny, John N Constantino, Monica DiRienzo, Amy Esler, Robert T Fitzgerald, Andrea Grzybowski, Allison Hudson, Margaret H Spivey, Akilah Ali, Jennifer G Andrews, Thaer Baroud, Johanna Gutierrez, Libby Hallas, Jennifer Hall-Lande, Amy Hewitt, Li-Ching Lee, Maya Lopez, Kristen Clancy Mancilla, Dedria McArthur, Sydney Pettygrove, Jenny N Poynter, Yvette D Schwenk, Anita Washington, Susan Williams, Mary E Cogswell","doi":"10.15585/mmwr.ss7010a1","DOIUrl":"10.15585/mmwr.ss7010a1","url":null,"abstract":"<p><strong>Problem/condition: </strong>Autism spectrum disorder (ASD).</p><p><strong>Period covered: </strong>2018.</p><p><strong>Description of system: </strong>The Autism and Developmental Disabilities Monitoring Network is an active surveillance program that estimates ASD prevalence and monitors timing of ASD identification among children aged 4 and 8 years. This report focuses on children aged 4 years in 2018, who were born in 2014 and had a parent or guardian who lived in the surveillance area in one of 11 sites (Arizona, Arkansas, California, Georgia, Maryland, Minnesota, Missouri, New Jersey, Tennessee, Utah, and Wisconsin) at any time during 2018. Children were classified as having ASD if they ever received 1) an ASD diagnostic statement (diagnosis) in an evaluation, 2) a special education classification of ASD (eligibility), or 3) an ASD International Classification of Diseases (ICD) code. Suspected ASD also was tracked among children aged 4 years. Children who did not meet the case definition for ASD were classified as having suspected ASD if their records contained a qualified professional's statement indicating a suspicion of ASD.</p><p><strong>Results: </strong>For 2018, the overall ASD prevalence was 17.0 per 1,000 (one in 59) children aged 4 years. Prevalence varied from 9.1 per 1,000 in Utah to 41.6 per 1,000 in California. At every site, prevalence was higher among boys than girls, with an overall male-to-female prevalence ratio of 3.4. Prevalence of ASD among children aged 4 years was lower among non-Hispanic White (White) children (12.9 per 1,000) than among non-Hispanic Black (Black) children (16.6 per 1,000), Hispanic children (21.1 per 1,000), and Asian/Pacific Islander (A/PI) children (22.7 per 1,000). Among children aged 4 years with ASD and information on intellectual ability, 52% met the surveillance case definition of co-occurring intellectual disability (intelligence quotient ≤70 or an examiner's statement of intellectual disability documented in an evaluation). Of children aged 4 years with ASD, 72% had a first evaluation at age ≤36 months. Stratified by census-tract-level median household income (MHI) tertile, a lower percentage of children with ASD and intellectual disability was evaluated by age 36 months in the low MHI tertile (72%) than in the high MHI tertile (84%). Cumulative incidence of ASD diagnosis or eligibility received by age 48 months was 1.5 times as high among children aged 4 years (13.6 per 1,000 children born in 2014) as among those aged 8 years (8.9 per 1,000 children born in 2010). Across MHI tertiles, higher cumulative incidence of ASD diagnosis or eligibility received by age 48 months was associated with lower MHI. Suspected ASD prevalence was 2.6 per 1,000 children aged 4 years, meaning for every six children with ASD, one child had suspected ASD. The combined prevalence of ASD and suspected ASD (19.7 per 1,000 children aged 4 years) was lower than ASD prevalence among children aged 8 years (23","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"70 10","pages":"1-14"},"PeriodicalIF":37.3,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8639027/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39774276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prevalence and Characteristics of Autism Spectrum Disorder Among Children Aged 8 Years - Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2018.","authors":"Matthew J Maenner, Kelly A Shaw, Amanda V Bakian, Deborah A Bilder, Maureen S Durkin, Amy Esler, Sarah M Furnier, Libby Hallas, Jennifer Hall-Lande, Allison Hudson, Michelle M Hughes, Mary Patrick, Karen Pierce, Jenny N Poynter, Angelica Salinas, Josephine Shenouda, Alison Vehorn, Zachary Warren, John N Constantino, Monica DiRienzo, Robert T Fitzgerald, Andrea Grzybowski, Margaret H Spivey, Sydney Pettygrove, Walter Zahorodny, Akilah Ali, Jennifer G Andrews, Thaer Baroud, Johanna Gutierrez, Amy Hewitt, Li-Ching Lee, Maya Lopez, Kristen Clancy Mancilla, Dedria McArthur, Yvette D Schwenk, Anita Washington, Susan Williams, Mary E Cogswell","doi":"10.15585/mmwr.ss7011a1","DOIUrl":"https://doi.org/10.15585/mmwr.ss7011a1","url":null,"abstract":"<p><strong>Problem/condition: </strong>Autism spectrum disorder (ASD).</p><p><strong>Period covered: </strong>2018.</p><p><strong>Description of system: </strong>The Autism and Developmental Disabilities Monitoring (ADDM) Network conducts active surveillance of ASD. This report focuses on the prevalence and characteristics of ASD among children aged 8 years in 2018 whose parents or guardians lived in 11 ADDM Network sites in the United States (Arizona, Arkansas, California, Georgia, Maryland, Minnesota, Missouri, New Jersey, Tennessee, Utah, and Wisconsin). To ascertain ASD among children aged 8 years, ADDM Network staff review and abstract developmental evaluations and records from community medical and educational service providers. In 2018, children met the case definition if their records documented 1) an ASD diagnostic statement in an evaluation (diagnosis), 2) a special education classification of ASD (eligibility), or 3) an ASD International Classification of Diseases (ICD) code.</p><p><strong>Results: </strong>For 2018, across all 11 ADDM sites, ASD prevalence per 1,000 children aged 8 years ranged from 16.5 in Missouri to 38.9 in California. The overall ASD prevalence was 23.0 per 1,000 (one in 44) children aged 8 years, and ASD was 4.2 times as prevalent among boys as among girls. Overall ASD prevalence was similar across racial and ethnic groups, except American Indian/Alaska Native children had higher ASD prevalence than non-Hispanic White (White) children (29.0 versus 21.2 per 1,000 children aged 8 years). At multiple sites, Hispanic children had lower ASD prevalence than White children (Arizona, Arkansas, Georgia, and Utah), and non-Hispanic Black (Black) children (Georgia and Minnesota). The associations between ASD prevalence and neighborhood-level median household income varied by site. Among the 5,058 children who met the ASD case definition, 75.8% had a diagnostic statement of ASD in an evaluation, 18.8% had an ASD special education classification or eligibility and no ASD diagnostic statement, and 5.4% had an ASD ICD code only. ASD prevalence per 1,000 children aged 8 years that was based exclusively on documented ASD diagnostic statements was 17.4 overall (range: 11.2 in Maryland to 29.9 in California). The median age of earliest known ASD diagnosis ranged from 36 months in California to 63 months in Minnesota. Among the 3,007 children with ASD and data on cognitive ability, 35.2% were classified as having an intelligence quotient (IQ) score ≤70. The percentages of children with ASD with IQ scores ≤70 were 49.8%, 33.1%, and 29.7% among Black, Hispanic, and White children, respectively. Overall, children with ASD and IQ scores ≤70 had earlier median ages of ASD diagnosis than children with ASD and IQ scores >70 (44 versus 53 months).</p><p><strong>Interpretation: </strong>In 2018, one in 44 children aged 8 years was estimated to have ASD, and prevalence and median age of identification varied widely across sites. Whereas overa","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"70 11","pages":"1-16"},"PeriodicalIF":24.9,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8639024/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39685461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Abortion Surveillance - United States, 2019.","authors":"Katherine Kortsmit, Michele G Mandel, Jennifer A Reeves, Elizabeth Clark, H Pamela Pagano, Antoinette Nguyen, Emily E Petersen, Maura K Whiteman","doi":"10.15585/mmwr.ss7009a1","DOIUrl":"https://doi.org/10.15585/mmwr.ss7009a1","url":null,"abstract":"<p><strong>Problem/condition: </strong>CDC conducts abortion surveillance to document the number and characteristics of women obtaining legal induced abortions and number of abortion-related deaths in the United States.</p><p><strong>Period covered: </strong>2019.</p><p><strong>Description of system: </strong>Each year, CDC requests abortion data from the central health agencies for 50 states, the District of Columbia, and New York City. For 2019, 49 reporting areas voluntarily provided aggregate abortion data to CDC. Of these, 48 reporting areas provided data each year during 2010-2019. Census and natality data were used to calculate abortion rates (number of abortions per 1,000 women aged 15-44 years) and ratios (number of abortions per 1,000 live births), respectively. Abortion-related deaths from 2018 were assessed as part of CDC's Pregnancy Mortality Surveillance System (PMSS).</p><p><strong>Results: </strong>A total of 629,898 abortions for 2019 were reported to CDC from 49 reporting areas. Among 48 reporting areas with data each year during 2010-2019, in 2019, a total of 625,346 abortions were reported, the abortion rate was 11.4 abortions per 1,000 women aged 15-44 years, and the abortion ratio was 195 abortions per 1,000 live births. From 2018 to 2019, the total number of abortions increased 2% (from 614,820 total abortions), the abortion rate increased 0.9% (from 11.3 abortions per 1,000 women aged 15-44 years), and the abortion ratio increased 3% (from 189 abortions per 1,000 live births). From 2010 to 2019, the total number of reported abortions, abortion rate, and abortion ratio decreased 18% (from 762,755), 21% (from 14.4 abortions per 1,000 women aged 15-44 years), and 13% (from 225 abortions per 1,000 live births), respectively. In 2019, women in their 20s accounted for more than half of abortions (56.9%). Women aged 20-24 and 25-29 years accounted for the highest percentages of abortions (27.6% and 29.3%, respectively) and had the highest abortion rates (19.0 and 18.6 abortions per 1,000 women aged 20-24 and 25-29 years, respectively). By contrast, adolescents aged <15 years and women aged ≥40 years accounted for the lowest percentages of abortions (0.2% and 3.7%, respectively) and had the lowest abortion rates (0.4 and 2.7 abortions per 1,000 women aged <15 and ≥40 years, respectively). However, abortion ratios in 2019 were highest among adolescents (aged ≤19 years) and lowest among women aged 25-39 years. Abortion rates decreased from 2010 to 2019 for all women, regardless of age. The decrease in abortion rate was highest among adolescents compared with any other age group. From 2018 to 2019, abortion rates decreased or did not change among women aged ≤24 years; however, the abortion rate increased among those aged ≥25 years. Abortion ratios also decreased or did not change from 2010 to 2019 for all age groups, except adolescents aged <15 years. The decrease in abortion ratio was highest among women aged ≥40 years compared with","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"70 9","pages":"1-29"},"PeriodicalIF":24.9,"publicationDate":"2021-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8654281/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39654650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Homicides of American Indians/Alaska Natives - National Violent Death Reporting System, United States, 2003-2018.","authors":"Emiko Petrosky, Laura M Mercer Kollar, Megan C Kearns, Sharon G Smith, Carter J Betz, Katherine A Fowler, Delight E Satter","doi":"10.15585/mmwr.ss7008a1","DOIUrl":"10.15585/mmwr.ss7008a1","url":null,"abstract":"<p><strong>Problem/condition: </strong>Homicide is a leading cause of death for American Indians/Alaska Natives (AI/ANs). Intimate partner violence (IPV) contributes to many homicides, particularly among AI/AN females. This report summarizes data from CDC's National Violent Death Reporting System (NVDRS) on AI/AN homicides. Results include victim and suspect sex, age group, and race/ethnicity; method of injury; type of location where the homicide occurred; precipitating circumstances (i.e., events that contributed to the homicide); and other selected characteristics.</p><p><strong>Period covered: </strong>2003-2018.</p><p><strong>Description of system: </strong>NVDRS collects data regarding violent deaths obtained from death certificates, coroner/medical examiner reports, and law enforcement reports and links related deaths (e.g., multiple homicides and homicide followed by suicide) into a single incident. This report includes data on AI/AN homicides that were collected from 34 states (Alabama, Alaska, Arizona, California, Colorado, Georgia, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Nebraska, Nevada, New Jersey, New Mexico, New York, North Carolina, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, Utah, Virginia, Washington, and Wisconsin) and the District of Columbia.</p><p><strong>Results: </strong>NVDRS collected data on 2,226 homicides of AI/ANs in 34 states and the District of Columbia during 2003-2018. The age-adjusted AI/AN homicide rate was 8.0 per 100,000 population. The homicide rate was three times higher in AI/AN males than females (12.0 versus 3.9), and the median age of AI/AN victims was 32 years (interquartile range: 23-44 years). Approximately half of AI/AN homicide victims lived or were killed in metropolitan areas (48.2% and 52.7%, respectively). A firearm was used in nearly half (48.4%) of homicides and in a higher percentage of homicides of AI/AN males than females (51.5% versus 39.1%). More AI/AN females than males were killed in a house or apartment (61.8% versus 53.7%) or in their own home (47.7% versus 29.0%). Suspects were identified in 82.8% of AI/AN homicides. Most suspects were male (80.1%), and nearly one third (32.1%) of suspects were AI/ANs. For AI/AN male victims, the suspect was most often an acquaintance or friend (26.3%), a person known to the victim but the exact nature of the relationship was unclear (12.3%), or a relative (excluding intimate partners) (10.5%). For AI/AN female victims, the suspect was most often a current or former intimate partner (38.4%), an acquaintance or friend (11.5%), or a person known to the victim but the exact nature of the relationship was unclear (7.9%). A crime precipitated 24.6% of AI/AN homicides (i.e., the homicide occurred as the result of another serious crime). More AI/AN males were victims of homicides due to an argument or conflict than females (54.7% versus 37.3%), whereas more ","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"70 8","pages":"1-19"},"PeriodicalIF":24.9,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8639023/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39745380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Demographic, Behavioral, and Clinical Characteristics of Persons Seeking Care at Sexually Transmitted Disease Clinics - 14 Sites, STD Surveillance Network, United States, 2010-2018.","authors":"Eloisa Llata, Kendra M Cuffe, Viani Picchetti, Jimmy R Braxton, Elizabeth A Torrone","doi":"10.15585/mmwr.ss7007a1","DOIUrl":"https://doi.org/10.15585/mmwr.ss7007a1","url":null,"abstract":"<p><strong>Problem: </strong>Sexually transmitted diseases (STDs) are a major cause of morbidity in the United States, with an estimated $15.9 billion in lifetime direct medical costs. Although the majority of STDs are diagnosed in the private sector, publicly funded STD clinics have an important role in providing comprehensive sexual health care services, including STD and HIV screening, for a broad range of patients. In certain cases, STD clinics often are the only source of sexual health care for patients, particularly among gay, bisexual, and other men who have sex with men (MSM).</p><p><strong>Period covered: </strong>2010-2018.</p><p><strong>Description of the system: </strong>The STD Surveillance Network (SSuN) is an ongoing sentinel surveillance system for monitoring clinical information among patients attending STD clinics. SSuN is a collaboration of competitively selected state and city health departments that conduct facility-based sentinel surveillance in STD clinics. Information routinely collected through the course of patient encounters is obtained for all patients seeking care in the participating STD clinics. This information includes demographic, behavioral, and clinical characteristics (e.g., STD and HIV tests performed and STD and HIV diagnoses). This report presents 2010-2018 SSuN data from 14 STD clinics in five cities (Baltimore, Maryland; New York City, New York; Philadelphia, Pennsylvania; San Francisco, California; and Seattle, Washington) to describe the patient populations seeking care in these STD clinics. Estimated numbers and percentages of patients receiving selected STD-related health services were calculated for each year by using an inverse variance weighted random-effects model, adjusting for heterogeneity among SSuN jurisdictions. Trends in receipt of selected STD-related health services were examined and included HIV screening after an acute STD diagnosis among persons not previously known to have HIV infection, annual chlamydia screening among adolescent and young females, and extragenital chlamydia and gonorrhea screening among MSM.</p><p><strong>Results: </strong>During 2010-2018, the total number of annual visits made in the 14 participating STD clinics decreased 29.8% (from 145,728 to 102,275 visits), and the total number of unique patients examined in the clinics decreased 35.1% (from 94,281 to 61,172 patients). Decreases in the number of unique patients occurred both among men who have sex with women only (42.4%; from 37,842 in 2010 to 21,781 in 2018) and among females (51.4%; from 36,485 in 2010 to 17,721 in 2018). The decreases in the number of female patients were observed across all age groups, although they were more pronounced among females aged ≤24 years (66.4%; from 17,721 in 2010 to 5,962 in 2018). In contrast, the number of patients identified as MSM increased 44.0% (from 12,859 in 2010 to 18,512 in 2018), with the greatest increase among MSM aged ≥25 years (58.6%; from 9,918 in 2010 to 15,73","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"70 7","pages":"1-20"},"PeriodicalIF":24.9,"publicationDate":"2021-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8575410/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39678673","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Acute Gastroenteritis on Cruise Ships - Maritime Illness Database and Reporting System, United States, 2006-2019.","authors":"Keisha A Jenkins, George H Vaughan, Luis O Rodriguez, Amy Freeland","doi":"10.15585/mmwr.ss7006a1","DOIUrl":"https://doi.org/10.15585/mmwr.ss7006a1","url":null,"abstract":"<p><strong>Problem/condition: </strong>Gastrointestinal illness is common worldwide and can be transmitted by an infected person or contaminated food, water, or environmental surfaces. Outbreaks of gastrointestinal illness commonly occur in crowded living accommodations or communities where persons are physically close. Pathogens that cause gastrointestinal illness outbreaks can spread quickly in closed and semienclosed environments, such as cruise ships. CDC's Vessel Sanitation Program (VSP) is responsible for conducting public health inspections and monitoring acute gastroenteritis (AGE) illness on cruise ships entering the United States after visiting a foreign port.</p><p><strong>Period covered: </strong>2006-2019.</p><p><strong>Description of system: </strong>VSP maintains the Maritime Illness Database and Reporting System (MIDRS) for monitoring cases of AGE illness among passengers and crew sailing on cruise ships carrying ≥13 passengers and within 15 days of arrival at U.S. ports from foreign ports of call. Cruise ships under VSP jurisdiction are required to submit a standardized report (24-hour report) of AGE case counts for passengers and crew 24-36 hours before arrival at the first U.S. port after traveling internationally. If the cumulative number of AGE cases increases after submission of the 24-hour report, an updated report must be submitted no less than 4 hours before the ship arrives at the U.S. port. A special report is submitted to MIDRS when vessels are within 15 days of arrival at a U.S. port and cumulative case counts reach 2% of the passenger or crew population during a voyage. VSP declares an outbreak when 3% or more of the passengers or crew on a voyage report AGE symptom to the ship's medical staff.</p><p><strong>Results: </strong>During 2006-2019, a total of 37,276 voyage reports from 252 cruise ships were submitted to MIDRS. Of the 252 cruise ships, 80.6% were extra large in size (60,001-120,000 gross registered tons [GRT]), 37.0% and 32.9% had voyages lasting 3-5 days and 8-10 days, respectively, and 53.2% were traveling to a port in the Southeast region of the United States at the time the final MIDRS report was submitted. During 2006-2019, VSP received 18,040 (48.4%) 24-hour routine reports, 18,606 (49.9%) 4-hour update reports, and 612 (1.6%) special reports (2% and 3% AGE reports). Incidence rates decreased from 32.5 cases per 100,000 travel days to 16.9 for passengers and from 13.5 to 5.2 for crew. Among passengers, AGE incidence rates increased with increasing ship size and voyage length. For crew members, rates were significantly higher on extra-large ships (19.8 per 100,000 travel-days) compared with small and large ships and on voyages lasting 6-7 days. Geographically, passenger incidence rates were highest among ships underway to ports in California, Alaska, Texas, New York, Florida, and Louisiana. Among passengers, AGE incidence rates were significantly higher on ships anchoring in California (32.1 per 100,0","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"70 6","pages":"1-19"},"PeriodicalIF":24.9,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8480991/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39441232","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Asthma Surveillance - United States, 2006-2018.","authors":"Cynthia A Pate, Hatice S Zahran, Xiaoting Qin, Carol Johnson, Erik Hummelman, Josephine Malilay","doi":"10.15585/mmwr.ss7005a1","DOIUrl":"https://doi.org/10.15585/mmwr.ss7005a1","url":null,"abstract":"<p><strong>Problem: </strong>Asthma is a chronic disease of the airways that requires ongoing medical management. Socioeconomic and demographic factors as well as health care use might influence health patterns in urban and rural areas. Persons living in rural areas tend to have less access to health care and health resources and worse health outcomes. Characterizing asthma indicators (i.e., prevalence of current asthma, asthma attacks, emergency department and urgent care center [ED/UCC] visits, and asthma-associated deaths) and determining how asthma exacerbations and health care use vary across the United States by geographic area, including differences between urban and rural areas, and by sociodemographic factors can help identify subpopulations at risk for asthma-related complications.</p><p><strong>Reporting period: </strong>2006-2018.</p><p><strong>Description of system: </strong>The National Health Interview Survey (NHIS) is an annual cross-sectional household health survey among the civilian noninstitutionalized population in the United States. NHIS data were used to produce estimates for current asthma and among them, asthma attacks and ED/UCC visits. National Vital Statistics System (NVSS) data were used to estimate asthma deaths. Estimates of current asthma, asthma attacks, ED/UCC visits, and asthma mortality rates are described by demographic characteristics, poverty level (except for deaths), and geographic area for 2016-2018. Trends in asthma indicators by metropolitan statistical area (MSA) category for 2006-2018 were determined. Current asthma and asthma attack prevalence are provided by MSA category and state for 2016-2018. Detailed urban-rural classifications (six levels) were determined by merging 2013 National Center for Health Statistics (NCHS) urban-rural classification data with 2016-2018 NHIS data by county and state variables. All subregional estimates were accessed through the NCHS Research Data Center.</p><p><strong>Results: </strong>Current asthma was higher among boys aged <18 years, women aged ≥18 years, non-Hispanic Black (Black) persons, non-Hispanic multiple-race (multiple-race) persons, and Puerto Rican persons. Asthma attacks were more prevalent among children, females, and multiple-race persons. ED/UCC visits were more prevalent among children, women aged ≥18 years, and all racial and ethnic groups (i.e., Black, non-Hispanic Asian, multiple race, and Hispanic, including Puerto Rican, Mexican, and other Hispanic) except American Indian and Alaska Native persons compared with non-Hispanic White (White) persons. Asthma deaths were higher among adults, females, and Black persons. All pertinent asthma outcomes were also more prevalent among persons with low family incomes. Current asthma prevalence was higher in the Northeast than in the South and the West, particularly in small MSA areas. The prevalence was also higher in small and medium metropolitan areas than in large central metropolitan areas. The prevalence","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"70 5","pages":"1-32"},"PeriodicalIF":24.9,"publicationDate":"2021-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8480992/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39441945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"World Trade Center Health Program - United States, 2012-2020.","authors":"Alejandro Azofeifa, Gayatri R Martin, Albeliz Santiago-Colón, Dori B Reissman, John Howard","doi":"10.15585/mmwr.ss7004a1","DOIUrl":"https://doi.org/10.15585/mmwr.ss7004a1","url":null,"abstract":"<p><strong>Problem/condition: </strong>After the September 11, 2001, terrorist attacks on the United States, approximately 400,000 persons were exposed to toxic contaminants and other factors that increased their risk for certain physical and mental health conditions. Shortly thereafter, both federal and nonfederal funds were provided to support various postdisaster activities, including medical monitoring and treatment. In 2011, as authorized by the James Zadroga 9/11 Health and Compensation Act of 2010, the CDC World Trade Center (WTC) Health Program began providing medical screening, monitoring, and treatment of 9/11-related health conditions for WTC responders (i.e., persons who were involved in rescue, response, recovery, cleanup, and related support activities after the September 11, 2001, terrorist attacks) and affected WTC survivors (i.e., persons who were present in the dust or dust cloud on 9/11 or who worked, lived, or attended school, child care centers, or adult day care centers in the New York City disaster area).</p><p><strong>Reporting period covered: </strong>2012-2020.</p><p><strong>Description of system: </strong>The U.S. Department of Health and Human Services WTC Health Program is administered by the director of CDC's National Institute for Occupational Safety and Health. The WTC Health Program uses a multilayer administrative claims system to process members' authorized program health benefits. Administrative claims data are primarily generated by clinical providers in New York and New Jersey at the Clinical Centers of Excellence and outside those states by clinical providers in the Nationwide Provider Network. This report describes WTC Health Program trends for selected indicators during 2012-2020.</p><p><strong>Results: </strong>In 2020, a total of 104,223 members were enrolled in the WTC Health Program, of which 73.4% (n = 76,543) were responders and 26.6% (n = 27,680) were survivors. WTC Health Program members are predominantly male (78.5%). The median age of members was 51 years (interquartile range [IQR]: 44-57) in 2012 and 59 years (IQR: 52-66) in 2020. During 2012-2020, enrollment and number of certifications of WTC-related health conditions increased among members, with the greatest changes observed among survivors. Overall, at enrollment, most WTC Health Program members lived in New York (71.7%), New Jersey (9.3%), and Florida (5.7%). In 2020, the total numbers of cancer and noncancer WTC-related certifications among members were 20,612 and 50,611, respectively. Skin cancer, male genital system cancers, and in situ neoplasms (e.g., skin and breast) are the most common WTC-related certified cancer conditions. The most commonly certified noncancer conditions are in the aerodigestive and mental health categories. The average number of WTC-related certified conditions per certified member is 2.7. In 2020, a total of 40,666 WTC Health Program members received annual monitoring and screening examinations (with an annual ","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"70 4","pages":"1-21"},"PeriodicalIF":24.9,"publicationDate":"2021-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8480994/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39400596","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Surveillance of Vaccination Coverage Among Adult Populations -United States, 2018.","authors":"Peng-Jun Lu, Mei-Chuan Hung, Anup Srivastav, Lisa A Grohskopf, Miwako Kobayashi, Aaron M Harris, Kathleen L Dooling, Lauri E Markowitz, Alfonso Rodriguez-Lainz, Walter W Williams","doi":"10.15585/mmwr.ss7003a1","DOIUrl":"10.15585/mmwr.ss7003a1","url":null,"abstract":"<p><strong>Problem/condition: </strong>Adults are at risk for illness, hospitalization, disability and, in some cases, death from vaccine-preventable diseases, particularly influenza and pneumococcal disease. CDC recommends vaccinations for adults on the basis of age, health conditions, prior vaccinations, and other considerations. Updated vaccination recommendations from CDC are published annually in the U.S. Adult Immunization Schedule. Despite longstanding recommendations for use of many vaccines, vaccination coverage among U.S. adults remains low.</p><p><strong>Reporting period: </strong>August 2017-June 2018 (for influenza vaccination) and January-December 2018 (for pneumococcal, herpes zoster, tetanus and diphtheria [Td]/tetanus toxoid, reduced diphtheria toxoid, and acellular pertussis [Tdap], hepatitis A, hepatitis B, and human papillomavirus [HPV] vaccination).</p><p><strong>Description of system: </strong>The National Health Interview Survey (NHIS) is a continuous, cross-sectional national household survey of the noninstitutionalized U.S. civilian population. In-person interviews are conducted throughout the year in a probability sample of households, and NHIS data are compiled and released annually. NHIS's objective is to monitor the health of the U.S. population and provide estimates of health indicators, health care use and access, and health-related behaviors. Adult receipt of influenza, pneumococcal, herpes zoster, Td/Tdap, hepatitis A, hepatitis B, and at least 1 dose of HPV vaccines was assessed. Estimates were derived for a new composite adult vaccination quality measure and by selected demographic and access-to-care characteristics (e.g., age, race/ethnicity, indication for vaccination, travel history [travel to countries where hepatitis infections are endemic], health insurance status, contacts with physicians, nativity, and citizenship). Trends in adult vaccination were assessed during 2010-2018.</p><p><strong>Results: </strong>Coverage for the adult age-appropriate composite measure was low in all age groups. Racial and ethnic differences in coverage persisted for all vaccinations, with lower coverage for most vaccinations among non-White compared with non-Hispanic White adults. Linear trend tests indicated coverage increased from 2010 to 2018 for most vaccines in this report. Few adults aged ≥19 years had received all age-appropriate vaccines, including influenza vaccination, regardless of whether inclusion of Tdap (13.5%) or inclusion of any tetanus toxoid-containing vaccine (20.2%) receipt was measured. Coverage among adults for influenza vaccination during the 2017-18 season (46.1%) was similar to the estimate for the 2016-17 season (45.4%), and coverage for pneumococcal (adults aged ≥65 years [69.0%]), herpes zoster (adults aged ≥50 years and aged ≥60 years [24.1% and 34.5%, respectively]), tetanus (adults aged ≥19 years [62.9%]), Tdap (adults aged ≥19 years [31.2%]), hepatitis A (adults aged ≥19 years [11.9%]), and HPV","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"70 3","pages":"1-26"},"PeriodicalIF":24.9,"publicationDate":"2021-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8162796/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38895985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}