Shane P D Jack, Emiko Petrosky, Bridget H Lyons, Janet M Blair, Allison M Ertl, Kameron J Sheats, Carter J Betz
<p><strong>Problem/condition: </strong>In 2015, approximately 62,000 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 27 U.S. states for 2015. Results are reported by sex, age group, race/ethnicity, location of injury, method of injury, circumstances of injury, and other selected characteristics.</p><p><strong>Reporting period: </strong>2015.</p><p><strong>Description of system: </strong>NVDRS collects data regarding violent deaths 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 27 states that collected statewide data for 2015 (Alaska, Arizona, Colorado, Connecticut, Georgia, Hawaii, Kansas, Kentucky, Maine, Maryland, Massachusetts, Michigan, Minnesota, New Hampshire, New Jersey, New Mexico, New York, North Carolina, Ohio, Oklahoma, Oregon, Rhode Island, South Carolina, Utah, Vermont, 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 2015, NVDRS captured 30,628 fatal incidents involving 31,415 deaths in the 27 states included in this report. The majority (65.1%) of deaths were suicides, followed by homicides (23.5%), deaths of undetermined intent (9.5%), legal intervention deaths (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 (<1.0%). (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.) Demographic patterns varied by manner of death. Suicide rates were highest among males, non-Hispanic American Indian/Alaska Natives, non-Hispanic whites, adults aged 45-54 years, and men aged ≥75 years. The most common method of injury was a firearm. Suicides often were preceded 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 20-34 years. Among males, non-Hispanic blacks accounted for the majority of homicides and had the highest rate of any racial/ethnic group. Homicides primarily involved a firearm, were precipitated by arguments and interpersonal conflicts, were related to intimate partner violence (particularly for females), or occurred in conjunction with another crime. When the relationship between a homicide victim and a suspected perpetrator was k
{"title":"Surveillance for Violent Deaths - National Violent Death Reporting System, 27 States, 2015.","authors":"Shane P D Jack, Emiko Petrosky, Bridget H Lyons, Janet M Blair, Allison M Ertl, Kameron J Sheats, Carter J Betz","doi":"10.15585/mmwr.ss6711a1","DOIUrl":"10.15585/mmwr.ss6711a1","url":null,"abstract":"<p><strong>Problem/condition: </strong>In 2015, approximately 62,000 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 27 U.S. states for 2015. Results are reported by sex, age group, race/ethnicity, location of injury, method of injury, circumstances of injury, and other selected characteristics.</p><p><strong>Reporting period: </strong>2015.</p><p><strong>Description of system: </strong>NVDRS collects data regarding violent deaths 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 27 states that collected statewide data for 2015 (Alaska, Arizona, Colorado, Connecticut, Georgia, Hawaii, Kansas, Kentucky, Maine, Maryland, Massachusetts, Michigan, Minnesota, New Hampshire, New Jersey, New Mexico, New York, North Carolina, Ohio, Oklahoma, Oregon, Rhode Island, South Carolina, Utah, Vermont, 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 2015, NVDRS captured 30,628 fatal incidents involving 31,415 deaths in the 27 states included in this report. The majority (65.1%) of deaths were suicides, followed by homicides (23.5%), deaths of undetermined intent (9.5%), legal intervention deaths (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 (<1.0%). (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.) Demographic patterns varied by manner of death. Suicide rates were highest among males, non-Hispanic American Indian/Alaska Natives, non-Hispanic whites, adults aged 45-54 years, and men aged ≥75 years. The most common method of injury was a firearm. Suicides often were preceded 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 20-34 years. Among males, non-Hispanic blacks accounted for the majority of homicides and had the highest rate of any racial/ethnic group. Homicides primarily involved a firearm, were precipitated by arguments and interpersonal conflicts, were related to intimate partner violence (particularly for females), or occurred in conjunction with another crime. When the relationship between a homicide victim and a suspected perpetrator was k","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"67 11","pages":"1-32"},"PeriodicalIF":37.3,"publicationDate":"2018-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6181254/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36529547","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}
Daniel Dewey-Mattia, Karunya Manikonda, Aron J Hall, Matthew E Wise, Samuel J Crowe
<p><strong>Problem/condition: </strong>Known foodborne disease agents are estimated to cause approximately 9.4 million illnesses each year in the United States. Although only a small subset of illnesses are associated with recognized outbreaks, data from outbreak investigations provide insight into the foods and pathogens that cause illnesses and the settings and conditions in which they occur.</p><p><strong>Reporting period: </strong>2009-2015 DESCRIPTION OF SYSTEM: The Foodborne Disease Outbreak Surveillance System (FDOSS) collects data on foodborne disease outbreaks, which are defined as the occurrence of two or more cases of a similar illness resulting from the ingestion of a common food. Since the early 1960s, foodborne outbreaks have been reported voluntarily to CDC by state, local, and territorial health departments using a standard form. Beginning in 2009, FDOSS reporting was made through the National Outbreak Reporting System, a web-based platform launched that year.</p><p><strong>Results: </strong>During 2009-2015, FDOSS received reports of 5,760 outbreaks that resulted in 100,939 illnesses, 5,699 hospitalizations, and 145 deaths. All 50 states, the District of Columbia, Puerto Rico, and CDC reported outbreaks. Among 2,953 outbreaks with a single confirmed etiology, norovirus was the most common cause of outbreaks (1,130 outbreaks [38%]) and outbreak-associated illnesses (27,623 illnesses [41%]), followed by Salmonella with 896 outbreaks (30%) and 23,662 illnesses (35%). Outbreaks caused by Listeria, Salmonella, and Shiga toxin-producing Escherichia coli (STEC) were responsible for 82% of all hospitalizations and 82% of deaths reported. Among 1,281 outbreaks in which the food reported could be classified into a single food category, fish were the most commonly implicated category (222 outbreaks [17%]), followed by dairy (136 [11%]) and chicken (123 [10%]). The food categories responsible for the most outbreak-associated illnesses were chicken (3,114 illnesses [12%]), pork (2,670 [10%]), and seeded vegetables (2,572 [10%]). Multistate outbreaks comprised only 3% of all outbreaks reported but accounted for 11% of illnesses, 34% of hospitalizations, and 54% of deaths.</p><p><strong>Interpretation: </strong>Foodborne disease outbreaks provide information about the pathogens and foods responsible for illness. Norovirus remains the leading cause of foodborne disease outbreaks, highlighting the continued need for food safety improvements targeting worker health and hygiene in food service settings. Outbreaks caused by Listeria, Salmonella, and STEC are important targets for public health intervention efforts, and improving the safety of chicken, pork, and seeded vegetables should be a priority.</p><p><strong>Public health action: </strong>The causes of foodborne illness should continue to be tracked and analyzed to inform disease prevention policies and initiatives. Strengthening the capacity of state and local health departments to investigat
{"title":"Surveillance for Foodborne Disease Outbreaks - United States, 2009-2015.","authors":"Daniel Dewey-Mattia, Karunya Manikonda, Aron J Hall, Matthew E Wise, Samuel J Crowe","doi":"10.15585/mmwr.ss6710a1","DOIUrl":"https://doi.org/10.15585/mmwr.ss6710a1","url":null,"abstract":"<p><strong>Problem/condition: </strong>Known foodborne disease agents are estimated to cause approximately 9.4 million illnesses each year in the United States. Although only a small subset of illnesses are associated with recognized outbreaks, data from outbreak investigations provide insight into the foods and pathogens that cause illnesses and the settings and conditions in which they occur.</p><p><strong>Reporting period: </strong>2009-2015 DESCRIPTION OF SYSTEM: The Foodborne Disease Outbreak Surveillance System (FDOSS) collects data on foodborne disease outbreaks, which are defined as the occurrence of two or more cases of a similar illness resulting from the ingestion of a common food. Since the early 1960s, foodborne outbreaks have been reported voluntarily to CDC by state, local, and territorial health departments using a standard form. Beginning in 2009, FDOSS reporting was made through the National Outbreak Reporting System, a web-based platform launched that year.</p><p><strong>Results: </strong>During 2009-2015, FDOSS received reports of 5,760 outbreaks that resulted in 100,939 illnesses, 5,699 hospitalizations, and 145 deaths. All 50 states, the District of Columbia, Puerto Rico, and CDC reported outbreaks. Among 2,953 outbreaks with a single confirmed etiology, norovirus was the most common cause of outbreaks (1,130 outbreaks [38%]) and outbreak-associated illnesses (27,623 illnesses [41%]), followed by Salmonella with 896 outbreaks (30%) and 23,662 illnesses (35%). Outbreaks caused by Listeria, Salmonella, and Shiga toxin-producing Escherichia coli (STEC) were responsible for 82% of all hospitalizations and 82% of deaths reported. Among 1,281 outbreaks in which the food reported could be classified into a single food category, fish were the most commonly implicated category (222 outbreaks [17%]), followed by dairy (136 [11%]) and chicken (123 [10%]). The food categories responsible for the most outbreak-associated illnesses were chicken (3,114 illnesses [12%]), pork (2,670 [10%]), and seeded vegetables (2,572 [10%]). Multistate outbreaks comprised only 3% of all outbreaks reported but accounted for 11% of illnesses, 34% of hospitalizations, and 54% of deaths.</p><p><strong>Interpretation: </strong>Foodborne disease outbreaks provide information about the pathogens and foods responsible for illness. Norovirus remains the leading cause of foodborne disease outbreaks, highlighting the continued need for food safety improvements targeting worker health and hygiene in food service settings. Outbreaks caused by Listeria, Salmonella, and STEC are important targets for public health intervention efforts, and improving the safety of chicken, pork, and seeded vegetables should be a priority.</p><p><strong>Public health action: </strong>The causes of foodborne illness should continue to be tracked and analyzed to inform disease prevention policies and initiatives. Strengthening the capacity of state and local health departments to investigat","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"67 10","pages":"1-11"},"PeriodicalIF":24.9,"publicationDate":"2018-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.15585/mmwr.ss6710a1","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36345251","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}
Cassandra M Pickens, Carol Pierannunzi, William Garvin, Machell Town
<p><strong>Problem: </strong>Chronic conditions and disorders (e.g., diabetes, cardiovascular diseases, arthritis, and depression) are leading causes of morbidity and mortality in the United States. Healthy behaviors (e.g., physical activity, avoiding cigarette use, and refraining from binge drinking) and preventive practices (e.g., visiting a doctor for a routine check-up, tracking blood pressure, and monitoring blood cholesterol) might help prevent or successfully manage these chronic conditions. Monitoring chronic diseases, health-risk behaviors, and access to and use of health care are fundamental to the development of effective public health programs and policies at the state and local levels.</p><p><strong>Reporting period: </strong>January-December 2015.</p><p><strong>Description of the system: </strong>The Behavioral Risk Factor Surveillance System (BRFSS) is an ongoing, state-based, random-digit-dialed landline- and cellular-telephone survey of noninstitutionalized adults aged ≥18 years residing in the United States. BRFSS collects data on health-risk behaviors, chronic diseases and conditions, access to and use of health care, and use of preventive health services related to the leading causes of death and disability. This report presents results for all 50 states, the District of Columbia, the Commonwealth of Puerto Rico (Puerto Rico), and Guam and for 130 metropolitan and micropolitan statistical areas (MMSAs) (N = 441,456 respondents) for 2015.</p><p><strong>Results: </strong>The age-adjusted prevalence estimates of health-risk behaviors, self-reported chronic health conditions, access to and use of health care, and use of preventive health services varied substantially by state, territory, and MMSA in 2015. Results are summarized for selected BRFSS measures. Each set of proportions refers to the median (range) of age-adjusted prevalence estimates for health-risk behaviors, self-reported chronic diseases or conditions, or use of preventive health care services by geographic jurisdiction, as reported by survey respondents. Adults with good or better health: 84.6% (65.9%-88.8%) for states and territories and 85.2% (66.9%-91.3%) for MMSAs. Adults with ≥14 days of poor physical health in the past 30 days: 10.9% (8.2%-17.2%) for states and territories and 10.9% (6.6%-19.1%) for MMSAs. Adults with ≥14 days of poor mental health in the past 30 days: 11.3% (7.3%-15.8%) for states and territories and 11.4% (5.6%-20.5%) for MMSAs. Adults aged 18-64 years with health care coverage: 86.8% (72.0%-93.8%) for states and territories and 86.8% (63.2%-95.7%) for MMSAs. Adults who received a routine physical checkup during the preceding 12 months: 69.0% (58.1%-79.8%) for states and territories and 69.4% (57.1%-81.1%) for MMSAs. Adults who ever had their blood cholesterol checked: 79.1% (73.3%-86.7%) for states and territories and 79.5% (65.1%-87.3%) for MMSAs. Current cigarette smoking among adults: 17.7% (9.0%-27.2%) for states and territories and 17.
{"title":"Surveillance for Certain Health Behaviors and Conditions Among States and Selected Local Areas - Behavioral Risk Factor Surveillance System, United States, 2015.","authors":"Cassandra M Pickens, Carol Pierannunzi, William Garvin, Machell Town","doi":"10.15585/mmwr.ss6709a1","DOIUrl":"10.15585/mmwr.ss6709a1","url":null,"abstract":"<p><strong>Problem: </strong>Chronic conditions and disorders (e.g., diabetes, cardiovascular diseases, arthritis, and depression) are leading causes of morbidity and mortality in the United States. Healthy behaviors (e.g., physical activity, avoiding cigarette use, and refraining from binge drinking) and preventive practices (e.g., visiting a doctor for a routine check-up, tracking blood pressure, and monitoring blood cholesterol) might help prevent or successfully manage these chronic conditions. Monitoring chronic diseases, health-risk behaviors, and access to and use of health care are fundamental to the development of effective public health programs and policies at the state and local levels.</p><p><strong>Reporting period: </strong>January-December 2015.</p><p><strong>Description of the system: </strong>The Behavioral Risk Factor Surveillance System (BRFSS) is an ongoing, state-based, random-digit-dialed landline- and cellular-telephone survey of noninstitutionalized adults aged ≥18 years residing in the United States. BRFSS collects data on health-risk behaviors, chronic diseases and conditions, access to and use of health care, and use of preventive health services related to the leading causes of death and disability. This report presents results for all 50 states, the District of Columbia, the Commonwealth of Puerto Rico (Puerto Rico), and Guam and for 130 metropolitan and micropolitan statistical areas (MMSAs) (N = 441,456 respondents) for 2015.</p><p><strong>Results: </strong>The age-adjusted prevalence estimates of health-risk behaviors, self-reported chronic health conditions, access to and use of health care, and use of preventive health services varied substantially by state, territory, and MMSA in 2015. Results are summarized for selected BRFSS measures. Each set of proportions refers to the median (range) of age-adjusted prevalence estimates for health-risk behaviors, self-reported chronic diseases or conditions, or use of preventive health care services by geographic jurisdiction, as reported by survey respondents. Adults with good or better health: 84.6% (65.9%-88.8%) for states and territories and 85.2% (66.9%-91.3%) for MMSAs. Adults with ≥14 days of poor physical health in the past 30 days: 10.9% (8.2%-17.2%) for states and territories and 10.9% (6.6%-19.1%) for MMSAs. Adults with ≥14 days of poor mental health in the past 30 days: 11.3% (7.3%-15.8%) for states and territories and 11.4% (5.6%-20.5%) for MMSAs. Adults aged 18-64 years with health care coverage: 86.8% (72.0%-93.8%) for states and territories and 86.8% (63.2%-95.7%) for MMSAs. Adults who received a routine physical checkup during the preceding 12 months: 69.0% (58.1%-79.8%) for states and territories and 69.4% (57.1%-81.1%) for MMSAs. Adults who ever had their blood cholesterol checked: 79.1% (73.3%-86.7%) for states and territories and 79.5% (65.1%-87.3%) for MMSAs. Current cigarette smoking among adults: 17.7% (9.0%-27.2%) for states and territories and 17.","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"67 9","pages":"1-90"},"PeriodicalIF":37.3,"publicationDate":"2018-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6023179/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36266653","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}
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
<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
{"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}
<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
{"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}
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
<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
{"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}
Miriam Van Dyke, Sophia Greer, Erika Odom, Linda Schieb, Adam Vaughan, Michael Kramer, Michele Casper
<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
{"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}
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
<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
{"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}
Saswati Sunderam, Dmitry M Kissin, Sara B Crawford, Suzanne G Folger, Sheree L Boulet, Lee Warner, Wanda D Barfield
<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
问题/条件：自 1981 年美国第一个通过辅助生殖技术（ART）受孕的婴儿出生以来，美国 ART 的使用和提供 ART 服务的生育诊所数量都在稳步增长。ART 包括在实验室中处理卵子或胚胎的生育治疗（即体外受精 [IVF] 及相关程序）。虽然大多数通过 ART 怀上的婴儿都是单胎，但与自然受孕的妇女相比，接受 ART 治疗的妇女更有可能生下多胞胎。多胞胎对母亲和婴儿都有很大的风险，包括产科并发症、早产（覆盖时期：2015.系统描述：1995 年，根据 1992 年《生育诊所成功率和认证法案》（FCSRCA）（公法 102-493 [1992 年 10 月 24 日]）的规定，美国疾病预防控制中心开始收集美国生育诊所进行 ART 手术的数据。数据通过美国国家抗逆转录病毒疗法监测系统（National ART Surveillance System）收集，该系统是由美国疾病预防控制中心开发的一个基于网络的数据收集系统。本报告包括 52 个报告地区（50 个州、哥伦比亚特区和波多黎各）的数据：2015 年，美国 464 家不孕不育诊所共进行了 182,111 例 ART 手术（范围：阿拉斯加州 135 例至加利福尼亚州 23,198 例），目的是移植至少一个胚胎，并向疾病预防控制中心进行了报告。这些手术导致了 59334 例活产（范围：怀俄明州 55 例到加利福尼亚州 7802 例）和 71152 例婴儿出生（范围：怀俄明州 68 例到加利福尼亚州 9176 例）。在全国范围内，每 100 万名育龄妇女（15-44 岁）中接受抗逆转录病毒疗法的人数为 2 832 人，这是衡量抗逆转录病毒疗法使用率的替代指标。在 13 个报告地区（加利福尼亚州、康涅狄格州、特拉华州、哥伦比亚特区、夏威夷州、伊利诺伊州、马里兰州、马萨诸塞州、新罕布什尔州、新泽西州、纽约州、罗德岛州和弗吉尼亚州），抗逆转录病毒疗法的使用率超过了全国使用率。从全国范围来看，在使用自体卵子新鲜胚胎进行 ART 移植的患者中，胚胎移植的平均数量随着女性年龄的增加而增加（37 岁女性为 1.6 个）。在 37 岁的妇女中，胚胎平均移植数量为 1.6 个：在美国出生的所有双胞胎、三胞胎和高位婴儿中，人工生殖技术所产生的多胞胎占了相当大的比例。岁的妇女：抗逆转录病毒疗法孕育的多胞胎中，双胞胎占大多数。减少胚胎移植数量，并在临床合适的情况下增加 eSET 的使用，有助于减少多胎妊娠以及对母婴健康造成的相关不良后果。在抗逆转录病毒疗法使用率高的州，以州为基础的抗逆转录病毒疗法监测可能有助于监测和评估抗逆转录病毒疗法对母婴健康的影响。
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Katherine A Fowler, Shane P D Jack, Bridget H Lyons, Carter J Betz, Emiko Petrosky
<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
{"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}
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