Mmwr Surveillance Summaries最新文献

{"title":"Youth Risk Behavior Surveillance - United States, 2017.","authors":"Laura Kann, Tim McManus, William A Harris, Shari L Shanklin, Katherine H Flint, Barbara Queen, Richard Lowry, David Chyen, Lisa Whittle, Jemekia Thornton, Connie Lim, Denise Bradford, Yoshimi Yamakawa, Michelle Leon, Nancy Brener, Kathleen A Ethier","doi":"10.15585/mmwr.ss6708a1","DOIUrl":"10.15585/mmwr.ss6708a1","url":null,"abstract":"<p><strong>Problem: </strong>Health-risk behaviors contribute to the leading causes of morbidity and mortality among youth and adults in the United States. In addition, significant health disparities exist among demographic subgroups of youth defined by sex, race/ethnicity, and grade in school and between sexual minority and nonsexual minority youth. Population-based data on the most important health-related behaviors at the national, state, and local levels can be used to help monitor the effectiveness of public health interventions designed to protect and promote the health of youth at the national, state, and local levels.</p><p><strong>Reporting period covered: </strong>September 2016-December 2017.</p><p><strong>Description of the system: </strong>The Youth Risk Behavior Surveillance System (YRBSS) monitors six categories of priority health-related behaviors among youth and young adults: 1) behaviors that contribute to unintentional injuries and violence; 2) tobacco use; 3) alcohol and other drug use; 4) sexual behaviors related to unintended pregnancy and sexually transmitted infections (STIs), including human immunodeficiency virus (HIV) infection; 5) unhealthy dietary behaviors; and 6) physical inactivity. In addition, YRBSS monitors the prevalence of other health-related behaviors, obesity, and asthma. YRBSS includes a national school-based Youth Risk Behavior Survey (YRBS) conducted by CDC and state and large urban school district school-based YRBSs conducted by state and local education and health agencies. Starting with the 2015 YRBSS cycle, a question to ascertain sexual identity and a question to ascertain sex of sexual contacts were added to the national YRBS questionnaire and to the standard YRBS questionnaire used by the states and large urban school districts as a starting point for their questionnaires. This report summarizes results from the 2017 national YRBS for 121 health-related behaviors and for obesity, overweight, and asthma by demographic subgroups defined by sex, race/ethnicity, and grade in school and by sexual minority status; updates the numbers of sexual minority students nationwide; and describes overall trends in health-related behaviors during 1991-2017. This reports also summarizes results from 39 state and 21 large urban school district surveys with weighted data for the 2017 YRBSS cycle by sex and sexual minority status (where available).</p><p><strong>Results: </strong>Results from the 2017 national YRBS indicated that many high school students are engaged in health-risk behaviors associated with the leading causes of death among persons aged 10-24 years in the United States. During the 30 days before the survey, 39.2% of high school students nationwide (among the 62.8% who drove a car or other vehicle during the 30 days before the survey) had texted or e-mailed while driving, 29.8% reported current alcohol use, and 19.8% reported current marijuana use. In addition, 14.0% of students had taken prescription ","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"67 8","pages":"1-114"},"PeriodicalIF":37.3,"publicationDate":"2018-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6002027/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36221622","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":"Malaria Surveillance - United States, 2015.","authors":"Kimberly E Mace, Paul M Arguin, Kathrine R Tan","doi":"10.15585/mmwr.ss6707a1","DOIUrl":"10.15585/mmwr.ss6707a1","url":null,"abstract":"<p><strong>Problem/condition: </strong>Malaria in humans is caused by intraerythrocytic protozoa of the genus Plasmodium. These parasites are transmitted by the bite of an infective female Anopheles species mosquito. The majority of malaria infections in the United States occur among persons who have traveled to regions with ongoing malaria transmission. However, malaria is occasionally acquired by persons who have not traveled out of the country through exposure to infected blood products, congenital transmission, laboratory exposure, or local mosquitoborne transmission. Malaria surveillance in the United States is conducted to provide information on its occurrence (e.g., temporal, geographic, and demographic), guide prevention and treatment recommendations for travelers and patients, and facilitate transmission control measures if locally acquired cases are identified.</p><p><strong>Period covered: </strong>This report summarizes confirmed malaria cases in persons with onset of illness in 2015 and summarizes trends in previous years.</p><p><strong>Description of system: </strong>Malaria cases diagnosed by blood film microscopy, polymerase chain reaction, or rapid diagnostic tests are reported to local and state health departments by health care providers or laboratory staff members. Case investigations are conducted by local and state health departments, and reports are transmitted to CDC through the National Malaria Surveillance System (NMSS), the National Notifiable Diseases Surveillance System (NNDSS), or direct CDC consultations. CDC reference laboratories provide diagnostic assistance and conduct antimalarial drug resistance marker testing on blood samples submitted by health care providers or local or state health departments. This report summarizes data from the integration of all NMSS and NNDSS cases, CDC reference laboratory reports, and CDC clinical consultations.</p><p><strong>Results: </strong>CDC received reports of 1,517 confirmed malaria cases, including one congenital case, with an onset of symptoms in 2015 among persons who received their diagnoses in the United States. Although the number of malaria cases diagnosed in the United States has been increasing since the mid-1970s, the number of cases decreased by 208 from 2014 to 2015. Among the regions of acquisition (Africa, West Africa, Asia, Central America, the Caribbean, South America, Oceania, and the Middle East), the only region with significantly fewer imported cases in 2015 compared with 2014 was West Africa (781 versus 969). Plasmodium falciparum, P. vivax, P. ovale, and P. malariae were identified in 67.4%, 11.7%, 4.1%, and 3.1% of cases, respectively. Less than 1% of patients were infected by two species. The infecting species was unreported or undetermined in 12.9% of cases. CDC provided diagnostic assistance for 13.1% of patients with confirmed cases and tested 15.0% of P. falciparum specimens for antimalarial resistance markers. Of the U.S. resident patients who re","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"67 7","pages":"1-28"},"PeriodicalIF":37.3,"publicationDate":"2018-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5933858/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36069296","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 of Autism Spectrum Disorder Among Children Aged 8 Years - Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2014.","authors":"Jon Baio, Lisa Wiggins, Deborah L Christensen, Matthew J Maenner, Julie Daniels, Zachary Warren, Margaret Kurzius-Spencer, Walter Zahorodny, Cordelia Robinson Rosenberg, Tiffany White, Maureen S Durkin, Pamela Imm, Loizos Nikolaou, Marshalyn Yeargin-Allsopp, Li-Ching Lee, Rebecca Harrington, Maya Lopez, Robert T Fitzgerald, Amy Hewitt, Sydney Pettygrove, John N Constantino, Alison Vehorn, Josephine Shenouda, Jennifer Hall-Lande, Kim Van Naarden Braun, Nicole F Dowling","doi":"10.15585/mmwr.ss6706a1","DOIUrl":"https://doi.org/10.15585/mmwr.ss6706a1","url":null,"abstract":"<p><strong>Problem/condition: </strong>Autism spectrum disorder (ASD).</p><p><strong>Period covered: </strong>2014.</p><p><strong>Description of system: </strong>The Autism and Developmental Disabilities Monitoring (ADDM) Network is an active surveillance system that provides estimates of the prevalence of autism spectrum disorder (ASD) among children aged 8 years whose parents or guardians reside within 11 ADDM sites in the United States (Arizona, Arkansas, Colorado, Georgia, Maryland, Minnesota, Missouri, New Jersey, North Carolina, Tennessee, and Wisconsin). ADDM surveillance is conducted in two phases. The first phase involves review and abstraction of comprehensive evaluations that were completed by professional service providers in the community. Staff completing record review and abstraction receive extensive training and supervision and are evaluated according to strict reliability standards to certify effective initial training, identify ongoing training needs, and ensure adherence to the prescribed methodology. Record review and abstraction occurs in a variety of data sources ranging from general pediatric health clinics to specialized programs serving children with developmental disabilities. In addition, most of the ADDM sites also review records for children who have received special education services in public schools. In the second phase of the study, all abstracted information is reviewed systematically by experienced clinicians to determine ASD case status. A child is considered to meet the surveillance case definition for ASD if he or she displays behaviors, as described on one or more comprehensive evaluations completed by community-based professional providers, consistent with the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision (DSM-IV-TR) diagnostic criteria for autistic disorder; pervasive developmental disorder-not otherwise specified (PDD-NOS, including atypical autism); or Asperger disorder. This report provides updated ASD prevalence estimates for children aged 8 years during the 2014 surveillance year, on the basis of DSM-IV-TR criteria, and describes characteristics of the population of children with ASD. In 2013, the American Psychiatric Association published the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), which made considerable changes to ASD diagnostic criteria. The change in ASD diagnostic criteria might influence ADDM ASD prevalence estimates; therefore, most (85%) of the records used to determine prevalence estimates based on DSM-IV-TR criteria underwent additional review under a newly operationalized surveillance case definition for ASD consistent with the DSM-5 diagnostic criteria. Children meeting this new surveillance case definition could qualify on the basis of one or both of the following criteria, as documented in abstracted comprehensive evaluations: 1) behaviors consistent with the DSM-5 diagnostic features; and/or 2) an ASD diagno","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"67 6","pages":"1-23"},"PeriodicalIF":24.9,"publicationDate":"2018-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.15585/mmwr.ss6706a1","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36049227","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":"Heart Disease Death Rates Among Blacks and Whites Aged ≥35 Years - United States, 1968-2015.","authors":"Miriam Van Dyke, Sophia Greer, Erika Odom, Linda Schieb, Adam Vaughan, Michael Kramer, Michele Casper","doi":"10.15585/mmwr.ss6705a1","DOIUrl":"https://doi.org/10.15585/mmwr.ss6705a1","url":null,"abstract":"<p><strong>Problem/condition: </strong>Heart disease is the leading cause of death in the United States. In 2015, heart disease accounted for approximately 630,000 deaths, representing one in four deaths in the United States. Although heart disease death rates decreased 68% for the total population from 1968 to 2015, marked disparities in decreases exist by race and state.</p><p><strong>Period covered: </strong>1968-2015.</p><p><strong>Description of system: </strong>The National Vital Statistics System (NVSS) data on deaths in the United States were abstracted for heart disease using diagnosis codes from the eighth, ninth, and tenth revisions of the International Classification of Diseases (ICD-8, ICD-9, and ICD-10) for 1968-2015. Population estimates were obtained from NVSS files. National and state-specific heart disease death rates for the total population and by race for adults aged ≥35 years were calculated for 1968-2015. National and state-specific black-white heart disease mortality ratios also were calculated. Death rates were age standardized to the 2000 U.S. standard population. Joinpoint regression was used to perform time trend analyses.</p><p><strong>Results: </strong>From 1968 to 2015, heart disease death rates decreased for the total U.S. population among adults aged ≥35 years, from 1,034.5 to 327.2 per 100,000 population, respectively, with variations in the magnitude of decreases by race and state. Rates decreased for the total population an average of 2.4% per year, with greater average decreases among whites (2.4% per year) than blacks (2.2% per year). At the national level, heart disease death rates for blacks and whites were similar at the start of the study period (1968) but began to diverge in the late 1970s, when rates for blacks plateaued while rates for whites continued to decrease. Heart disease death rates among blacks remained higher than among whites for the remainder of the study period. Nationwide, the black-white ratio of heart disease death rates increased from 1.04 in 1968 to 1.21 in 2015, with large increases occurring during the 1970s and 1980s followed by small but steady increases until approximately 2005. Since 2005, modest decreases have occurred in the black-white ratio of heart disease death rates at the national level. The majority of states had increases in black-white mortality ratios from 1968 to 2015. The number of states with black-white mortality ratios >1 increased from 16 (40%) to 27 (67.5%).</p><p><strong>Interpretation: </strong>Although heart disease death rates decreased both for blacks and whites from 1968 to 2015, substantial differences in decreases were found by race and state. At the national level and in most states, blacks experienced smaller decreases in heart disease death rates than whites for the majority of the period. Overall, the black-white disparity in heart disease death rates increased from 1968 to 2005, with a modest decrease from 2005 to 2015.</p><p><strong>Public health","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"67 5","pages":"1-11"},"PeriodicalIF":24.9,"publicationDate":"2018-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.15585/mmwr.ss6705a1","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35961118","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":"Geographic Variations in Arthritis Prevalence, Health-Related Characteristics, and Management - United States, 2015.","authors":"Kamil E Barbour, Susan Moss, Janet B Croft, Charles G Helmick, Kristina A Theis, Teresa J Brady, Louise B Murphy, Jennifer M Hootman, Kurt J Greenlund, Hua Lu, Yan Wang","doi":"10.15585/mmwr.ss6704a1","DOIUrl":"https://doi.org/10.15585/mmwr.ss6704a1","url":null,"abstract":"<p><strong>Problem/condition: </strong>Doctor-diagnosed arthritis is a common chronic condition affecting an estimated 23% (54 million) of adults in the United States, greatly influencing quality of life and costing approximately $300 billion annually. The geographic variations in arthritis prevalence, health-related characteristics, and management among states and territories are unknown. Therefore, public health professionals need to understand arthritis in their areas to target dissemination of evidence-based interventions that reduce arthritis morbidity.</p><p><strong>Reporting period: </strong>2015.</p><p><strong>Description of system: </strong>The Behavioral Risk Factor Surveillance System is an annual, random-digit-dialed landline and cellular telephone survey of noninstitutionalized adults aged ≥18 years residing in the United States. Self-reported data are collected from the 50 states, the District of Columbia, Guam, and Puerto Rico. Unadjusted and age-standardized prevalences of arthritis, arthritis health-related characteristics, and arthritis management were calculated. County-level estimates were calculated using a validated statistical modeling method.</p><p><strong>Results: </strong>In 2015, in the 50 states and the District of Columbia, median age-standardized prevalence of arthritis was 23.0% (range: 17.2%-33.6%). Modeled prevalence of arthritis varied considerably by county (range: 11.2%-42.7%). In 13 states that administered the arthritis management module, among adults with arthritis, the age-standardized median percentage of participation in a self-management education course was 14.5% (range: 9.1%-19.0%), being told by a health care provider to engage in physical activity or exercise was 58.5% (range: 52.3%-61.9%), and being told to lose weight to manage arthritis symptoms (if overweight or obese) was 44.5% (range: 35.1%-53.2%). Respondents with arthritis who lived in the quartile of states with the highest prevalences of arthritis had the highest percentages of negative health-related characteristics (i.e., arthritis-attributable activity limitations, arthritis-attributable severe joint pain, and arthritis-attributable social participation restriction; ≥14 physically unhealthy days during the past 30 days; ≥14 mentally unhealthy days during the past 30 days; obesity; and leisure-time physical inactivity) and the lowest percentage of leisure-time walking.</p><p><strong>Interpretation: </strong>The prevalence, health-related characteristics, and management of arthritis varied substantially across states. The modeled prevalence of arthritis varied considerably by county.</p><p><strong>Public health action: </strong>The findings highlight notable geographic variability in prevalence, health-related characteristics, and management of arthritis. Targeted use of evidence-based interventions that focus on physical activity and self-management education can reduce pain and improve function and quality of life for adults with arthrit","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"67 4","pages":"1-28"},"PeriodicalIF":24.9,"publicationDate":"2018-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5857191/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35919018","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":"Assisted Reproductive Technology Surveillance - United States, 2015.","authors":"Saswati Sunderam, Dmitry M Kissin, Sara B Crawford, Suzanne G Folger, Sheree L Boulet, Lee Warner, Wanda D Barfield","doi":"10.15585/mmwr.ss6703a1","DOIUrl":"10.15585/mmwr.ss6703a1","url":null,"abstract":"<p><strong>Problem/condition: </strong>Since the first U.S. infant conceived with assisted reproductive technology (ART) was born in 1981, both the use of ART and the number of fertility clinics providing ART services have increased steadily in the United States. ART includes fertility treatments in which eggs or embryos are handled in the laboratory (i.e., in vitro fertilization [IVF] and related procedures). Although the majority of infants conceived through ART are singletons, women who undergo ART procedures are more likely than women who conceive naturally to deliver multiple-birth infants. Multiple births pose substantial risks for both mothers and infants, including obstetric complications, preterm delivery (<37 weeks), and low birthweight (<2,500 g) infants. This report provides state-specific information for the United States (including the District of Columbia and Puerto Rico) on ART procedures performed in 2015 and compares birth outcomes that occurred in 2015 (resulting from ART procedures performed in 2014 and 2015) with outcomes for all infants born in the United States in 2015.</p><p><strong>Period covered: </strong>2015.</p><p><strong>Description of system: </strong>In 1995, CDC began collecting data on ART procedures performed in fertility clinics in the United States as mandated by the Fertility Clinic Success Rate and Certification Act of 1992 (FCSRCA) (Public Law 102-493 [October 24, 1992]). Data are collected through the National ART Surveillance System, a web-based data collection system developed by CDC. This report includes data from 52 reporting areas (the 50 states, the District of Columbia, and Puerto Rico).</p><p><strong>Results: </strong>In 2015, a total of 182,111 ART procedures (range: 135 in Alaska to 23,198 in California) with the intent to transfer at least one embryo were performed in 464 U.S. fertility clinics and reported to CDC. These procedures resulted in 59,334 live-birth deliveries (range: 55 in Wyoming to 7,802 in California) and 71,152 infants born (range: 68 in Wyoming to 9,176 in California). Nationally, the number of ART procedures performed per 1 million women of reproductive age (15-44 years), a proxy measure of the ART utilization rate, was 2,832. ART use exceeded the national rate in 13 reporting areas (California, Connecticut, Delaware, the District of Columbia, Hawaii, Illinois, Maryland, Massachusetts, New Hampshire, New Jersey, New York, Rhode Island, and Virginia). Nationally, among ART transfer procedures in patients using fresh embryos from their own eggs, the average number of embryos transferred increased with increasing age of the woman (1.6 among women aged <35 years, 1.8 among women aged 35-37 years, and 2.3 among women aged >37 years). Among women aged <35 years, the national elective single-embryo transfer (eSET) rate was 34.7% (range: 11.3% in Puerto Rico to 88.1% in Delaware). In 2015, ART contributed to 1.7% of all infants born in the United States (range: 0.3% in Puerto Rico to ","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"67 3","pages":"1-28"},"PeriodicalIF":37.3,"publicationDate":"2018-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5829941/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35834416","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 for Violent Deaths -\u2028National Violent Death Reporting System, 18 States, 2014.","authors":"Katherine A Fowler, Shane P D Jack, Bridget H Lyons, Carter J Betz, Emiko Petrosky","doi":"10.15585/mmwr.ss6702a1","DOIUrl":"10.15585/mmwr.ss6702a1","url":null,"abstract":"<p><strong>Problem/condition: </strong>In 2014, approximately 59,000 persons died in the United States as a result of violence-related injuries. This report summarizes data from CDC's National Violent Death Reporting System (NVDRS) regarding violent deaths from 18 U.S. states for 2014. Results are reported by sex, age group, race/ethnicity, marital status, location of injury, method of injury, circumstances of injury, and other selected characteristics.</p><p><strong>Reporting period covered: </strong>2014.</p><p><strong>Description of system: </strong>NVDRS collects data from participating states regarding violent deaths. Data are obtained from death certificates, coroner/medical examiner reports, law enforcement reports, and secondary sources (e.g., child fatality review team data, supplemental homicide reports, hospital data, and crime laboratory data). This report includes data from 18 states that collected statewide data for 2014 (Alaska, Colorado, Georgia, Kentucky, Maryland, Massachusetts, Michigan, New Jersey, New Mexico, North Carolina, Ohio, Oklahoma, Oregon, Rhode Island, South Carolina, Utah, Virginia, and Wisconsin). NVDRS collates documents for each death and links deaths that are related (e.g., multiple homicides, a homicide followed by a suicide, or multiple suicides) into a single incident.</p><p><strong>Results: </strong>For 2014, a total of 22,098 fatal incidents involving 22,618 deaths were captured by NVDRS in the 18 states included in this report. The majority of deaths were suicides (65.6%), followed by homicides (22.5%), deaths of undetermined intent (10.0%), deaths involving legal intervention (1.3%) (i.e., deaths caused by law enforcement and other persons with legal authority to use deadly force, excluding legal executions), and unintentional firearm deaths (<1%). The term \"legal intervention\" is a classification incorporated into the International Classification of Diseases, Tenth Revision (ICD-10) and does not denote the lawfulness or legality of the circumstances surrounding a death caused by law enforcement. Suicides occurred at higher rates among males, non-Hispanic American Indian/Alaska Natives (AI/AN), non-Hispanic whites, persons aged 45-54 years, and males aged ≥75 years. Suicides were preceded primarily by a mental health, intimate partner, substance abuse, or physical health problem or a crisis during the previous or upcoming 2 weeks. Homicide rates were higher among males and persons aged <1 year and 15-44 years; rates were highest among non-Hispanic black and AI/AN males. Homicides primarily were precipitated by arguments and interpersonal conflicts, occurrence in conjunction with another crime, or related to intimate partner violence (particularly for females). When the relationship between a homicide victim and a suspected perpetrator was known, it was most often either an acquaintance/friend or an intimate partner. Legal intervention death rates were highest among males and persons aged 20-44 years; rat","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"67 2","pages":"1-36"},"PeriodicalIF":24.9,"publicationDate":"2018-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5829936/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35783921","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":"Disparities in Preconception Health Indicators - \u2028Behavioral Risk Factor Surveillance System, 2013-2015, and Pregnancy Risk Assessment Monitoring System, 2013-2014.","authors":"Cheryl Robbins, Sheree L Boulet, Isabel Morgan, Denise V D'Angelo, Lauren B Zapata, Brian Morrow, Andrea Sharma, Charlan D Kroelinger","doi":"10.15585/mmwr.ss6701a1","DOIUrl":"10.15585/mmwr.ss6701a1","url":null,"abstract":"<p><strong>Problem/condition: </strong>Preconception health is a broad term that encompasses the overall health of nonpregnant women during their reproductive years (defined here as aged 18-44 years). Improvement of both birth outcomes and the woman's health occurs when preconception health is optimized. Improving preconception health before and between pregnancies is critical for reducing maternal and infant mortality and pregnancy-related complications. The National Preconception Health and Health Care Initiative's Surveillance and Research work group suggests ten prioritized indicators that states can use to monitor programs or activities for improving the preconception health status of women of reproductive age. This report includes overall and stratified estimates for nine of these preconception health indicators.</p><p><strong>Reporting period: </strong>2013-2015.</p><p><strong>Description of systems: </strong>Survey data from two surveillance systems are included in this report. The Behavioral Risk Factor Surveillance System (BRFSS) is an ongoing state-based, landline and cellular telephone survey of noninstitutionalized adults in the United States aged ≥18 years that is conducted by state and territorial health departments. BRFSS is the main source of self-reported data for states on health risk behaviors, chronic health conditions, and preventive health services primarily related to chronic disease in the United States. The Pregnancy Risk Assessment Monitoring System (PRAMS) is an ongoing U.S. state- and population-based surveillance system administered collaboratively by CDC and state health departments. PRAMS is designed to monitor selected maternal behaviors, conditions, and experiences that occur before, during, and shortly after pregnancy that are self-reported by women who recently delivered a live-born infant. This report summarizes BRFSS and PRAMS data on nine of 10 prioritized preconception health indicators (i.e., depression, diabetes, hypertension, current cigarette smoking, normal weight, recommended physical activity, recent unwanted pregnancy, prepregnancy multivitamin use, and postpartum use of a most or moderately effective contraceptive method) for which the most recent data are available. BRFSS data from all 50 states and the District of Columbia were used for six preconception health indicators: depression, diabetes (excluded if occurring only during pregnancy or if limited to borderline/prediabetes conditions), hypertension (excluded if occurring only during pregnancy or if limited to borderline/prehypertension conditions), current cigarette smoking, normal weight, and recommended physical activity. PRAMS data from 30 states, the District of Columbia, and New York City were used for three preconception health indicators: recent unwanted pregnancy, prepregnancy multivitamin use, and postpartum use of a most or moderately effective contraceptive method by women or their husbands or partners (i.e., male or female sterili","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"67 1","pages":"1-16"},"PeriodicalIF":24.9,"publicationDate":"2018-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5829866/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35748188","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, 2014.","authors":"Tara C Jatlaoui, Jill Shah, Michele G Mandel, Jamie W Krashin, Danielle B Suchdev, Denise J Jamieson, Karen Pazol","doi":"10.15585/mmwr.ss6624a1","DOIUrl":"https://doi.org/10.15585/mmwr.ss6624a1","url":null,"abstract":"<p><strong>Problem/condition: </strong>Since 1969, CDC has conducted abortion surveillance to document the number and characteristics of women obtaining legal induced abortions in the United States.</p><p><strong>Period covered: </strong>2014.</p><p><strong>Description of system: </strong>Each year, CDC requests abortion data from the central health agencies of 52 reporting areas (the 50 states, the District of Columbia, and New York City). The reporting areas provide this information voluntarily. For 2014, data were received from 49 reporting areas. For trend analysis, abortion data were evaluated from 48 areas that reported data every year during 2005-2014. Census and natality data, respectively, 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).</p><p><strong>Results: </strong>A total of 652,639 abortions were reported to CDC for 2014. Of these abortions, 98.4% were from the 48 reporting areas that provided data every year during 2005-2014. Among these 48 reporting areas, the abortion rate for 2014 was 12.1 abortions per 1,000 women aged 15-44 years, and the abortion ratio was 186 abortions per 1,000 live births. From 2013 to 2014, the total number and rate of reported abortions decreased 2%, and the ratio decreased 7%. From 2005 to 2014, the total number, rate, and ratio of reported abortions decreased 21%, 22%, and 21%, respectively. In 2014, all three measures reached their lowest level for the entire period of analysis (2005-2014). In 2014 and throughout the period of analysis, women in their 20s accounted for the majority of abortions and had the highest abortion rates; women in their 30s and older accounted for a much smaller percentage of abortions and had lower abortion rates. In 2014, women aged 20-24 and 25-29 years accounted for 32.2% and 26.7% of all reported abortions, respectively, and had abortion rates of 21.3 and 18.4 abortions per 1,000 women aged 20-24 and 25-29 years, respectively. In contrast, women aged 30-34, 35-39, and ≥40 years accounted for 17.1%, 9.7%, and 3.6% of all reported abortions, respectively, and had abortion rates of 11.9, 7.2, and 2.6 abortions per 1,000 women aged 30-34 years, 35-39 years, and ≥40 years, respectively. From 2005 to 2014, the abortion rate decreased among women aged 20-24, 25-29, 30-34, and 35-39 years by 27%, 16%, 12%, and 5%, respectively, but increased 4% among women aged ≥40 years. In 2014, adolescents aged <15 and 15-19 years accounted for 0.3% and 10.4% of all reported abortions, respectively, and had abortion rates of 0.5 and 7.5 abortions per 1,000 adolescents aged <15 and 15-19 years, respectively. From 2005 to 2014, the percentage of abortions accounted for by adolescents aged 15-19 years decreased 38%, and their abortion rate decreased 49%. These decreases were greater than the decreases for women in any older age group. In contrast to the percentage distribution of abortions and abo","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"66 24","pages":"1-48"},"PeriodicalIF":24.9,"publicationDate":"2017-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35276533","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Racial/Ethnic Health Disparities Among Rural Adults - United States, 2012-2015.","authors":"Cara V James, Ramal Moonesinghe, Shondelle M Wilson-Frederick, Jeffrey E Hall, Ana Penman-Aguilar, Karen Bouye","doi":"10.15585/mmwr.ss6623a1","DOIUrl":"10.15585/mmwr.ss6623a1","url":null,"abstract":"<p><strong>Problem/condition: </strong>Rural communities often have worse health outcomes, have less access to care, and are less diverse than urban communities. Much of the research on rural health disparities examines disparities between rural and urban communities, with fewer studies on disparities within rural communities. This report provides an overview of racial/ethnic health disparities for selected indicators in rural areas of the United States.</p><p><strong>Reporting period: </strong>2012-2015.</p><p><strong>Description of system: </strong>Self-reported data from the 2012-2015 Behavioral Risk Factor Surveillance System were pooled to evaluate racial/ethnic disparities in health, access to care, and health-related behaviors among rural residents in all 50 states and the District of Columbia. Using the National Center for Health Statistics 2013 Urban-Rural Classification Scheme for Counties to assess rurality, this analysis focused on adults living in noncore (rural) counties.</p><p><strong>Results: </strong>Racial/ethnic minorities who lived in rural areas were younger (more often in the youngest age group) than non-Hispanic whites. Except for Asians and Native Hawaiians and other Pacific Islanders (combined in the analysis), more racial/ethnic minorities (compared with non-Hispanic whites) reported their health as fair or poor, that they had obesity, and that they were unable to see a physician in the past 12 months because of cost. All racial/ethnic minority populations were less likely than non-Hispanic whites to report having a personal health care provider. Non-Hispanic whites had the highest estimated prevalence of binge drinking in the past 30 days.</p><p><strong>Interpretation: </strong>Although persons in rural communities often have worse health outcomes and less access to health care than those in urban communities, rural racial/ethnic minority populations have substantial health, access to care, and lifestyle challenges that can be overlooked when considering aggregated population data. This study revealed difficulties among non-Hispanic whites as well, primarily related to health-related risk behaviors. Across each population, the challenges vary.</p><p><strong>Public health action: </strong>Stratifying data by different demographics, using community health needs assessments, and adopting and implementing the National Culturally and Linguistically Appropriate Services Standards can help rural communities identify disparities and develop effective initiatives to eliminate them, which aligns with a Healthy People 2020 overarching goal: achieving health equity.</p>","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"66 23","pages":"1-9"},"PeriodicalIF":24.9,"publicationDate":"2017-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5829953/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35612190","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}