Alejandro Azofeifa, Margaret E Mattson, Gillian Schauer, Tim McAfee, Althea Grant, Rob Lyerla
{"title":"National Estimates of Marijuana Use and Related Indicators - National Survey on Drug Use and Health, United States, 2002-2014.","authors":"Alejandro Azofeifa, Margaret E Mattson, Gillian Schauer, Tim McAfee, Althea Grant, Rob Lyerla","doi":"10.15585/mmwr.ss6511a1","DOIUrl":"https://doi.org/10.15585/mmwr.ss6511a1","url":null,"abstract":"<p><strong>Problem/condition: </strong>In the United States, marijuana is the most commonly used illicit drug. In 2013, 7.5% (19.8 million) of the U.S. population aged ≥12 years reported using marijuana during the preceding month. Because of certain state-level policies that have legalized marijuana for medical or recreational use, population-based data on marijuana use and other related indicators are needed to help monitor behavioral health changes in the United States.</p><p><strong>Period covered: </strong>2002-2014.</p><p><strong>Description of system: </strong>The National Survey on Drug Use and Health (NSDUH) is a national- and state-level survey of a representative sample of the civilian, noninstitutionalized U.S. population aged ≥12 years. NSDUH collects information about the use of illicit drugs, alcohol, and tobacco; initiation of substance use; frequency of substance use; substance dependence and abuse; perception of substance harm risk or no risk; and other related behavioral health indicators. This report describes national trends for selected marijuana use and related indicators, including prevalence of marijuana use; initiation; perception of harm risk, approval, and attitudes; perception of availability and mode of acquisition; dependence and abuse; and perception of legal penalty for marijuana possession.</p><p><strong>Results: </strong>In 2014, a total of 2.5 million persons aged ≥12 years had used marijuana for the first time during the preceding 12 months, an average of approximately 7,000 new users each day. During 2002-2014, the prevalence of marijuana use during the past month, past year, and daily or almost daily increased among persons aged ≥18 years, but not among those aged 12-17 years. Among persons aged ≥12 years, the prevalence of perceived great risk from smoking marijuana once or twice a week and once a month decreased and the prevalence of perceived no risk increased. The prevalence of past year marijuana dependence and abuse decreased, except among persons aged ≥26 years. Among persons aged ≥12 years, the percentage reporting that marijuana was fairly easy or very easy to obtain increased. The percentage of persons aged ≥12 reporting the mode of acquisition of marijuana was buying it and growing it increased versus getting it for free and sharing it. The percentage of persons aged ≥12 years reporting that the perceived maximum legal penalty for the possession of an ounce or less of marijuana in their state is a fine and no penalty increased versus probation, community service, possible prison sentence, and mandatory prison sentence.</p><p><strong>Interpretation: </strong>Since 2002, marijuana use in the United States has increased among persons aged ≥18 years, but not among those aged 12-17 years. A decrease in the perception of great risk from smoking marijuana combined with increases in the perception of availability (i.e., fairly easy or very easy to obtain marijuana) and fewer punitive legal penalties (e.g.,","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"65 11","pages":"1-28"},"PeriodicalIF":24.9,"publicationDate":"2016-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34409047","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}
Bridget H Lyons, Katherine A Fowler, Shane P D Jack, Carter J Betz, Janet M Blair
{"title":"Surveillance for Violent Deaths - National Violent Death Reporting System, 17 States, 2013.","authors":"Bridget H Lyons, Katherine A Fowler, Shane P D Jack, Carter J Betz, Janet M Blair","doi":"10.15585/mmwr.ss6510a1","DOIUrl":"https://doi.org/10.15585/mmwr.ss6510a1","url":null,"abstract":"<p><strong>Problem/condition: </strong>In 2013, more than 57,000 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 17 U.S. states for 2013. 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>2013.</p><p><strong>Description of system: </strong>NVDRS collects data from participating states 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 17 states that collected statewide data for 2013 (Alaska, Colorado, Georgia, Kentucky, Maryland, Massachusetts, North Carolina, New Jersey, New Mexico, 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) from a single incident.</p><p><strong>Results: </strong>For 2013, a total of 18,765 fatal incidents involving 19,251 deaths were captured by NVDRS in the 17 states included in this report. The majority (66.2%) of deaths were suicides, followed by homicides (23.2%), deaths of undetermined intent (8.8%), deaths involving legal intervention (1.2%) (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 whites, American Indian/Alaska Natives, persons aged 45-64 years, and males aged ≥75 years. Suicides were preceded primarily by a mental health, intimate partner, or physical health problem or a crisis during the previous or upcoming 2 weeks. Homicide rates were higher among males and persons aged 15-44 years; rates were highest among non-Hispanic black males. Homicides primarily were precipitated by arguments and interpersonal conflicts, occurrence in conjunction with another crime, or were related to intimate partner violence (particularly for females). A known relationship between a homicide victim and a suspected perpetrator was most likely either that of an acquaintance or friend or an intimate partner. Legal intervention death rates were highest among males and persons aged 20-24 years and 30-34 years; rates were highest among non-Hispanic black males. Precipitating facto","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"65 10","pages":"1-42"},"PeriodicalIF":24.9,"publicationDate":"2016-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34674004","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}
Laura Kann, Emily O'Malley Olsen, Tim McManus, William A Harris, Shari L Shanklin, Katherine H Flint, Barbara Queen, Richard Lowry, David Chyen, Lisa Whittle, Jemekia Thornton, Connie Lim, Yoshimi Yamakawa, Nancy Brener, Stephanie Zaza
{"title":"Sexual Identity, Sex of Sexual Contacts, and Health-Related Behaviors Among Students in Grades 9-12 - United States and Selected Sites, 2015.","authors":"Laura Kann, Emily O'Malley Olsen, Tim McManus, William A Harris, Shari L Shanklin, Katherine H Flint, Barbara Queen, Richard Lowry, David Chyen, Lisa Whittle, Jemekia Thornton, Connie Lim, Yoshimi Yamakawa, Nancy Brener, Stephanie Zaza","doi":"10.15585/mmwr.ss6509a1","DOIUrl":"https://doi.org/10.15585/mmwr.ss6509a1","url":null,"abstract":"<p><strong>Problem: </strong>Sexual identity and sex of sexual contacts can both be used to identify sexual minority youth. Significant health disparities exist between sexual minority and nonsexual minority youth. However, not enough is known about health-related behaviors that contribute to negative health outcomes among sexual minority youth and how the prevalence of these health-related behaviors compare with the prevalence of health-related behaviors among nonsexual minorities.</p><p><strong>Reporting period: </strong>September 2014-December 2015.</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, including human immunodeficiency virus infection; 5) unhealthy dietary behaviors; and 6) physical inactivity. In addition, YRBSS monitors the prevalence of obesity and asthma and other priority health-related behaviors. 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. For the 2015 YRBSS cycle, a question to ascertain sexual identity and a question to ascertain sex of sexual contacts was added for the first time 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 YRBS questionnaires. This report summarizes results for 118 health-related behaviors plus obesity, overweight, and asthma by sexual identity and sex of sexual contacts from the 2015 national survey, 25 state surveys, and 19 large urban school district surveys conducted among students in grades 9-12.</p><p><strong>Results: </strong>Across the 18 violence-related risk behaviors nationwide, the prevalence of 16 was higher among gay, lesbian, and bisexual students than heterosexual students and the prevalence of 15 was higher among students who had sexual contact with only the same sex or with both sexes than students who had sexual contact with only the opposite sex. Across the 13 tobacco use-related risk behaviors, the prevalence of 11 was higher among gay, lesbian, and bisexual students than heterosexual students and the prevalence of 10 was higher among students who had sexual contact with only the same sex or with both sexes than students who had sexual contact with only the opposite sex. Similarly, across the 19 alcohol or other drug use-related risk behaviors, the prevalence of 18 was higher among gay, lesbian, and bisexual students than heterosexual students and the prevalence of 17 was higher among students who had sexual contact with only the same sex or with both sexes than students","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"65 9","pages":"1-202"},"PeriodicalIF":24.9,"publicationDate":"2016-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34642974","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}
Paul Mehta, Wendy Kaye, Leah Bryan, Theodore Larson, Timothy Copeland, Jennifer Wu, Oleg Muravov, Kevin Horton
{"title":"Prevalence of Amyotrophic Lateral Sclerosis - United States, 2012-2013.","authors":"Paul Mehta, Wendy Kaye, Leah Bryan, Theodore Larson, Timothy Copeland, Jennifer Wu, Oleg Muravov, Kevin Horton","doi":"10.15585/mmwr.ss6508a1","DOIUrl":"https://doi.org/10.15585/mmwr.ss6508a1","url":null,"abstract":"<p><strong>Problem/condition: </strong>Amyotrophic lateral sclerosis (ALS), commonly known as Lou Gehrig's disease, is a progressive and fatal neuromuscular disease for which no cure or viable treatment has been identified. ALS, like most noncommunicable diseases, is not a nationally notifiable disease in the United States. The prevalence of ALS in the United States during 2010-2011 was estimated to be 3.9 cases per 100,000 persons in the general population. Updated prevalence estimates are needed to help monitor disease status, better understand etiology, and identify risk factors for ALS.</p><p><strong>Period covered: </strong>2012-2013.</p><p><strong>Description of system: </strong>The National ALS Registry, established in 2009, collects data on ALS patients in the United States to better describe the incidence and prevalence of ALS, examine risk factors such as environmental and occupational exposures, and characterize the demographics of those living with ALS. To identify prevalent cases of ALS, data are compiled from four national administrative databases (maintained by the Centers for Medicare and Medicaid Services, the Veterans Health Administration, and the Veterans Benefits Administration). To identify cases not included in these databases and to better understand risk-factors associated with ALS and disease progression, the Registry also includes data that are collected from patients who voluntarily enroll and complete online surveys.</p><p><strong>Results: </strong>During 2012 and 2013, the Registry identified 14,713 and 15,908 persons, respectively, who met the surveillance case definition of ALS. The estimated ALS prevalence rate was 4.7 cases per 100,000 U.S. population for 2012 and 5.0 per 100,000 for 2013. Due to revisions to the algorithm and use of death data from the National Death Index, an updated prevalence estimate has been calculated retrospectively for October 19, 2010-December 31, 2011. This updated estimate showed a prevalence rate of 4.3 per 100,000 population and a total of 13,282 cases. Since the inception of the Registry, the pattern of characteristics (e.g., age, sex, and race/ethnicity) among persons with ALS have remained unchanged. Overall, ALS was more common among whites, males, and persons aged 60-69 years. The age groups with the lowest number of ALS cases were persons aged 18-39 years and those aged ≥80 years. Males had a higher prevalence rate of ALS than females overall and across all data sources. These findings remained consistent during October 2010-December 2013.</p><p><strong>Interpretation: </strong>The Registry is the only available data source that can be used to estimate the national prevalence for ALS in the United States. Use of both administrative national databases and self-report from patients enables a comprehensive approach to estimate ALS prevalence. The overall increase in the prevalence rate from 4.3 per 100,000 persons (revised) during 2010-2011 to 4.7 and 5.0 per 100,000 persons, res","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"65 8","pages":"1-12"},"PeriodicalIF":24.9,"publicationDate":"2016-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34341712","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}
Robert D Kirkcaldy, Alesia Harvey, John R Papp, Carlos Del Rio, Olusegun O Soge, King K Holmes, Edward W Hook, Grace Kubin, Stefan Riedel, Jonathan Zenilman, Kevin Pettus, Tremeka Sanders, Samera Sharpe, Elizabeth Torrone
{"title":"Neisseria gonorrhoeae Antimicrobial Susceptibility Surveillance - The Gonococcal Isolate Surveillance Project, 27 Sites, United States, 2014.","authors":"Robert D Kirkcaldy, Alesia Harvey, John R Papp, Carlos Del Rio, Olusegun O Soge, King K Holmes, Edward W Hook, Grace Kubin, Stefan Riedel, Jonathan Zenilman, Kevin Pettus, Tremeka Sanders, Samera Sharpe, Elizabeth Torrone","doi":"10.15585/mmwr.ss6507a1","DOIUrl":"https://doi.org/10.15585/mmwr.ss6507a1","url":null,"abstract":"<p><strong>Problem/condition: </strong>Gonorrhea is the second most commonly reported notifiable disease in the United States; 350,062 gonorrhea cases were reported in 2014. Sexually transmitted infections caused by Neisseria gonorrhoeae are a cause of pelvic inflammatory disease in women, which can lead to serious reproductive complications including tubal infertility, ectopic pregnancy, and chronic pelvic pain. Prevention of sequelae and of transmission to sexual partners relies largely on prompt detection and effective antimicrobial treatment. However, treatment has been compromised by the absence of routine antimicrobial susceptibility testing in clinical care and evolution of antimicrobial resistance to the antibiotics used to treat gonorrhea.</p><p><strong>Period covered: </strong>2014.</p><p><strong>Description of the system: </strong>The Gonococcal Isolate Surveillance Project (GISP) was established in 1986 as a sentinel surveillance system to monitor trends in antimicrobial susceptibilities of N. gonorrhoeae strains in the United States. Each month, N. gonorrhoeae isolates are collected from up to the first 25 men with gonococcal urethritis attending each of the participating sexually transmitted disease (STD) clinics at 27 sites. The number of participating sites has varied over time (21-30 per year). Selected demographic and clinical data are abstracted from medical records. Isolates are tested for antimicrobial susceptibility using agar dilution at one of five regional laboratories.</p><p><strong>Results: </strong>A total of 5,093 isolates were collected in 2014. Of these, 25.3% were resistant to tetracycline, 19.2% to ciprofloxacin, and 16.2% to penicillin (plasmid-based, chromosomal, or both). Reduced azithromycin susceptibility (Azi-RS) (defined as minimum inhibitory concentration [MIC] ≥2.0 µg/mL) increased from 0.6% in 2013 to 2.5% in 2014. The increase occurred in all geographic regions, but was greatest in the Midwest, and among all categories of sex of sex partners (men who have sex with men [MSM], men who have sex with men and women [MSMW], and men who have sex with women [MSW]). No Azi-RS isolates exhibited reduced cefixime or ceftriaxone susceptibility (Cfx-RS and Cro-RS, respectively). The prevalence of Cfx-RS (MIC ≥0.25 µg/mL) increased from 0.1% in 2006 to 1.4% in both 2010 and 2011, decreased to 0.4% in 2013, and increased to 0.8% in 2014. Cro-RS (MIC ≥0.125 µg/mL) increased following a similar pattern but at lesser percentages (increased from 0.1% in 2008 to 0.4% in 2011 and decreased to 0.1% in 2013 and 2014). The percentage of isolates resistant to tetracycline, ciprofloxacin, penicillin, or all three antimicrobials, was greater in isolates from MSM than from MSW.</p><p><strong>Interpretation: </strong>This is the first report to present comprehensive surveillance data from GISP and summarize gonococcal susceptibility over time, as well as underscore the history and public health implications of emerging cephalospori","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"65 7","pages":"1-19"},"PeriodicalIF":24.9,"publicationDate":"2016-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34557480","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}
Laura Kann, Tim McManus, William A Harris, Shari L Shanklin, Katherine H Flint, Joseph Hawkins, Barbara Queen, Richard Lowry, Emily O'Malley Olsen, David Chyen, Lisa Whittle, Jemekia Thornton, Connie Lim, Yoshimi Yamakawa, Nancy Brener, Stephanie Zaza
{"title":"Youth Risk Behavior Surveillance - United States, 2015.","authors":"Laura Kann, Tim McManus, William A Harris, Shari L Shanklin, Katherine H Flint, Joseph Hawkins, Barbara Queen, Richard Lowry, Emily O'Malley Olsen, David Chyen, Lisa Whittle, Jemekia Thornton, Connie Lim, Yoshimi Yamakawa, Nancy Brener, Stephanie Zaza","doi":"10.15585/mmwr.ss6506a1","DOIUrl":"https://doi.org/10.15585/mmwr.ss6506a1","url":null,"abstract":"<p><strong>Problem: </strong>Priority health-risk behaviors contribute to the leading causes of morbidity and mortality among youth and adults. Population-based data on these behaviors at the national, state, and local levels can help monitor the effectiveness of public health interventions designed to protect and promote the health of youth nationwide.</p><p><strong>Reporting period covered: </strong>September 2014-December 2015.</p><p><strong>Description of the system: </strong>The Youth Risk Behavior Surveillance System (YRBSS) monitors six categories of priority health 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 obesity and asthma and other priority health behaviors. 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. This report summarizes results for 118 health behaviors plus obesity, overweight, and asthma from the 2015 national survey, 37 state surveys, and 19 large urban school district surveys conducted among students in grades 9-12.</p><p><strong>Results: </strong>Results from the 2015 national YRBS indicated that many high school students are engaged in priority 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, 41.5% of high school students nationwide among the 61.3% who drove a car or other vehicle during the 30 days before the survey had texted or e-mailed while driving, 32.8% had drunk alcohol, and 21.7% had used marijuana. During the 12 months before the survey, 15.5% had been electronically bullied, 20.2% had been bullied on school property, and 8.6% had attempted suicide. Many high school students are engaged in sexual risk behaviors that relate to unintended pregnancies and STIs, including HIV infection. Nationwide, 41.2% of students had ever had sexual intercourse, 30.1% had had sexual intercourse during the 3 months before the survey (i.e., currently sexually active), and 11.5% had had sexual intercourse with four or more persons during their life. Among currently sexually active students, 56.9% had used a condom during their last sexual intercourse. Results from the 2015 national YRBS also indicated many high school students are engaged in behaviors associated with chronic diseases, such as cardiovascular disease, cancer, and diabetes. During the 30 days before the survey, 10.8% of high school students had smoked cigarettes and 7.3% had used smokeless tobacco. During the 7 days before the survey, 5.2%","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"65 6","pages":"1-174"},"PeriodicalIF":24.9,"publicationDate":"2016-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34562758","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}
Michele C Hlavsa, Taryn R Gerth, Sarah A Collier, Elizabeth L Dunbar, Gouthami Rao, Gregory Epperson, Becky Bramlett, David F Ludwig, Diana Gomez, Monty M Stansbury, Freeman Miller, Jeffrey Warren, Jim Nichol, Harry Bowman, Bao-An Huynh, Kara M Loewe, Bob Vincent, Amanda L Tarrier, Timothy Shay, Robert Wright, Allison C Brown, Jasen M Kunz, Kathleen E Fullerton, James R Cope, Michael J Beach
{"title":"Immediate Closures and Violations Identified During Routine Inspections of Public Aquatic Facilities - Network for Aquatic Facility Inspection Surveillance, Five States, 2013.","authors":"Michele C Hlavsa, Taryn R Gerth, Sarah A Collier, Elizabeth L Dunbar, Gouthami Rao, Gregory Epperson, Becky Bramlett, David F Ludwig, Diana Gomez, Monty M Stansbury, Freeman Miller, Jeffrey Warren, Jim Nichol, Harry Bowman, Bao-An Huynh, Kara M Loewe, Bob Vincent, Amanda L Tarrier, Timothy Shay, Robert Wright, Allison C Brown, Jasen M Kunz, Kathleen E Fullerton, James R Cope, Michael J Beach","doi":"10.15585/mmwr.ss6505a1","DOIUrl":"https://doi.org/10.15585/mmwr.ss6505a1","url":null,"abstract":"PROBLEM/CONDITION Aquatic facility-associated illness and injury in the United States include disease outbreaks of infectious or chemical etiology, drowning, and pool chemical-associated health events (e.g., respiratory distress or burns). These conditions affect persons of all ages, particularly young children, and can lead to disability or even death. A total of 650 aquatic facility-associated outbreaks have been reported to CDC for 1978-2012. During 1999-2010, drownings resulted in approximately 4,000 deaths each year in the United States. Drowning is the leading cause of injury deaths in children aged 1-4 years, and approximately half of fatal drownings in this age group occur in swimming pools. During 2003-2012, pool chemical-associated health events resulted in an estimated 3,000-5,000 visits to U.S. emergency departments each year, and approximately half of the patients were aged <18 years. In August 2014, CDC released the Model Aquatic Health Code (MAHC), national guidance that can be adopted voluntarily by state and local jurisdictions to minimize the risk for illness and injury at public aquatic facilities. REPORTING PERIOD COVERED 2013. DESCRIPTION OF SYSTEM The Network for Aquatic Facility Inspection Surveillance (NAFIS) was established by CDC in 2013. NAFIS receives aquatic facility inspection data collected by environmental health practitioners when assessing the operation and maintenance of public aquatic facilities. This report presents inspection data that were reported by 16 public health agencies in five states (Arizona, California, Florida, New York, and Texas) and focuses on 15 MAHC elements deemed critical to minimizing the risk for illness and injury associated with aquatic facilities (e.g., disinfection to prevent transmission of infectious pathogens, safety equipment to rescue distressed bathers, and pool chemical safety). Although these data (the first and most recent that are available) are not nationally representative, 15.7% of the estimated 309,000 U.S. public aquatic venues are located in the 16 reporting jurisdictions. RESULTS During 2013, environmental health practitioners in the 16 reporting NAFIS jurisdictions conducted 84,187 routine inspections of 48,632 public aquatic venues. Of the 84,187 routine inspection records for individual aquatic venues, 78.5% (66,098) included data on immediate closure; 12.3% (8,118) of routine inspections resulted in immediate closure because of at least one identified violation that represented a serious threat to public health. Disinfectant concentration violations were identified during 11.9% (7,662/64,580) of routine inspections, representing risk for aquatic facility-associated outbreaks of infectious etiology. Safety equipment violations were identified during 12.7% (7,845/61,648) of routine inspections, representing risk for drowning. Pool chemical safety violations were identified during 4.6% (471/10,264) of routine inspections, representing risk for pool","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"65 5","pages":"1-26"},"PeriodicalIF":24.9,"publicationDate":"2016-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34500497","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}
Pranesh P Chowdhury, Tebitha Mawokomatanda, Fang Xu, Sonya Gamble, David Flegel, Carol Pierannunzi, William Garvin, Machell Town
{"title":"Surveillance for Certain Health Behaviors, Chronic Diseases, and Conditions, Access to Health Care, and Use of Preventive Health Services Among States and Selected Local Areas\u2028- Behavioral Risk Factor Surveillance System, United States, 2012.","authors":"Pranesh P Chowdhury, Tebitha Mawokomatanda, Fang Xu, Sonya Gamble, David Flegel, Carol Pierannunzi, William Garvin, Machell Town","doi":"10.15585/mmwr.ss6504a1","DOIUrl":"https://doi.org/10.15585/mmwr.ss6504a1","url":null,"abstract":"<p><strong>Problem: </strong>Chronic diseases (e.g., heart diseases, cancer, chronic lower respiratory disease, stroke, diabetes, and arthritis) and unintentional injuries are the leading causes of morbidity and mortality in the United States. Behavioral risk factors (e.g., tobacco use, poor diet, physical inactivity, excessive alcohol consumption, failure to use seat belts, and insufficient sleep) are linked to the leading causes of death. Modifying these behavioral risk factors and using preventive health services (e.g., cancer screenings and influenza and pneumococcal vaccination of adults aged ≥65 years) can substantially reduce morbidity and mortality in the U.S.</p><p><strong>Population: </strong>Continuous monitoring of these health-risk behaviors, chronic conditions, and use of preventive services are essential to the development of health promotion strategies, intervention programs, and health policies at the state, city, and county level.</p><p><strong>Reporting period: </strong>January-December 2012.</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 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, participating U.S. territories that include the Commonwealth of Puerto Rico (Puerto Rico) and Guam, 187 Metropolitan/Micropolitan Statistical Areas (MMSAs), and 210 counties (n = 475,687 survey respondents) for the year 2012.</p><p><strong>Results: </strong>In 2012, the estimated prevalence of health-risk behaviors, chronic diseases or conditions, access to health care, and use of preventive health services substantially varied by state and territory, MMSA, and county. The following portion of the abstract lists a summary of results by selected BRFSS measures. Each set of proportions refers to the range of estimated prevalence for health-risk behaviors, chronic diseases or conditions, and use of preventive health care services among geographical units, as reported by survey respondents. Adults with good or better health: 64.0%-88.3% for states and territories, 62.7%-90.5% for MMSAs, and 68.1%-92.4% for counties. Adults aged 18-64 years with health care coverage: 64.2%-93.1% for states and territories, 35.4%- 93.7% for MMSAs, and 35.4%-96.7% for counties. Adults who received a routine physical checkup during the preceding 12 months: 55.7%-80.1% for states and territories, 50.6%-85.0% for MMSAs, and 52.4%-85.0% for counties. An influenza vaccination received during the preceding 12 months among adults aged ≥65 years: 26.3%-70.1% for states and territories, 20.8%-77.8% for MMSAs, and 24.1%-77.6% for counties. Ever","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"65 4","pages":"1-142"},"PeriodicalIF":24.9,"publicationDate":"2016-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34499590","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}
Leonard J Paulozzi, Gail K Strickler, Peter W Kreiner, Caitlin M Koris
{"title":"Controlled Substance Prescribing Patterns--Prescription Behavior Surveillance System, Eight States, 2013.","authors":"Leonard J Paulozzi, Gail K Strickler, Peter W Kreiner, Caitlin M Koris","doi":"10.15585/mmwr.ss6409a1","DOIUrl":"https://doi.org/10.15585/mmwr.ss6409a1","url":null,"abstract":"<p><strong>Problem/condition: </strong>Drug overdose is the leading cause of injury death in the United States. The death rate from drug overdose in the United States more than doubled during 1999-2013, from 6.0 per 100,000 population in 1999 to 13.8 in 2013. The increase in drug overdoses is attributable primarily to the misuse and abuse of prescription drugs, especially opioid analgesics, sedatives/tranquilizers, and stimulants. Such drugs are prescribed widely in the United States, with substantial variation by state. Certain patients obtain drugs for nonmedical use or resale by obtaining overlapping prescriptions from multiple prescribers. The risk for overdose is directly associated with the use of multiple prescribers and daily dosages of >100 morphine milligram equivalents (MMEs) per day.</p><p><strong>Period covered: </strong>2013.</p><p><strong>Description of system: </strong>The Prescription Behavior Surveillance System (PBSS) is a public health surveillance system that allows public health authorities to characterize and quantify the use and misuse of prescribed controlled substances. PBSS began collecting data in 2012 and is funded by CDC and the Food and Drug Administration. PBSS uses standard metrics to measure prescribing rates per 1,000 state residents by demographic variables, drug type, daily dose, and source of payment. Data from the system can be used to calculate rates of misuse by certain behavioral measures such as use of multiple prescribers and pharmacies within specified time periods. This report is based on 2013 de-identified data (most recent available) that represent approximately one fourth of the U.S.</p><p><strong>Population: </strong>Data were submitted quarterly by prescription drug monitoring programs (PDMPs) in eight states (California, Delaware, Florida, Idaho, Louisiana, Maine, Ohio, and West Virginia) that routinely collect data on every prescription for a controlled substance to help law enforcement and health care providers identify misuse or abuse of such drugs.</p><p><strong>Results: </strong>In all eight states, opioid analgesics were prescribed approximately twice as often as stimulants or benzodiazepines. Prescribing rates by drug class varied widely by state: twofold for opioids, fourfold for stimulants, almost twofold for benzodiazepines, and eightfold for carisoprodol, a muscle relaxant. Rates for opioids and benzodiazepines were substantially higher for females than for males in all states. In most states, opioid prescribing rates peaked in either the 45-54 years or the 55-64 years age group. Benzodiazepine prescribing rates increased with age. Louisiana ranked first in opioid prescribing, and Delaware and Maine had relatively high rates of use of long-acting (LA) or extended-release (ER) opioids. Delaware and Maine ranked highest in both mean daily opioid dosage and in the percentage of opioid prescriptions written for >100 MMEs per day. The top 1% of prescribers wrote one in four opioid prescrip","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"64 9","pages":"1-14"},"PeriodicalIF":24.9,"publicationDate":"2015-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34090138","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}
Erin K Sauber-Schatz, Andrea M Thomas, Lawrence J Cook
{"title":"Motor Vehicle Crashes, Medical Outcomes, and Hospital Charges Among Children Aged 1-12 Years - Crash Outcome Data Evaluation System, 11 States, 2005-2008.","authors":"Erin K Sauber-Schatz, Andrea M Thomas, Lawrence J Cook","doi":"10.15585/mmwr.ss6408a1","DOIUrl":"https://doi.org/10.15585/mmwr.ss6408a1","url":null,"abstract":"<p><strong>Problem: </strong>Motor vehicle crashes are a leading cause of death among children. Age- and size-appropriate restraint use is an effective way to prevent motor vehicle-related injuries and deaths. However, children are not always properly restrained while riding in a motor vehicle, and some are not restrained at all, which increases their risk for injury and death in a crash.</p><p><strong>Reporting period: </strong>2005-2008.</p><p><strong>Description of the system: </strong>The Crash Outcome Data Evaluation System (CODES) is a multistate program facilitated by the National Highway Traffic Safety Administration to probabilistically link police crash reports and hospital databases for traffic safety analyses. Eleven participating states (Connecticut, Georgia, Kentucky, Maryland, Minnesota, Missouri, Nebraska, New York, Ohio, South Carolina, and Utah) submitted data to CODES during the reporting period. Descriptive analysis was used to describe drivers and child passengers involved in motor vehicle crashes and to summarize crash and medical outcomes. Odds ratios and 95% confidence intervals were used to compare a child passenger's likelihood of sustaining specific types of injuries by restraint status (optimal, suboptimal, or unrestrained) and seating location (front or back seat). Because of data constraints, optimal restraint use was defined as a car seat or booster seat use for children aged 1-7 years and seat belt use for children aged 8-12 years. Suboptimal restraint use was defined as seat belt use for children aged 1-7 years. Unrestrained was defined as no use of car seat, booster seat, or seat belt for children aged 1-12 years.</p><p><strong>Results: </strong>Optimal restraint use in the back seat declined with child's age (1 year: 95.9%, 5 years: 95.4%, 7 years: 94.7%, 8 years: 77.4%, 10 years: 67.5%, 12 years: 54.7%). Child restraint use was associated with driver restraint use; 41.3% of children riding with unrestrained drivers also were unrestrained compared with 2.2% of children riding with restrained drivers. Child restraint use also was associated with impaired driving due to alcohol or drug use; 16.4% children riding with drivers suspected of alcohol or drug use were unrestrained compared with 2.9% of children riding with drivers not suspected of such use. Optimally restrained and suboptimally restrained children were less likely to sustain a traumatic brain injury than unrestrained children. The 90th percentile hospital charges for children aged 4-7 years who were in motor vehicle crashes were $1,630.00 and $1,958.00 for those optimally restrained in a back seat and front seat, respectively; $2,035.91 and $3,696.00 for those suboptimally restrained in a back seat and front seat, respectively; and $9,956.60 and $11,143.85 for those unrestrained in a back seat and front seat, respectively.</p><p><strong>Interpretation: </strong>Proper car seat, booster seat, and seat belt use among children in the back seat prevents inj","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"64 8","pages":"1-32"},"PeriodicalIF":24.9,"publicationDate":"2015-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34054166","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}