Pranesh P Chowdhury, Tebitha Mawokomatanda, Fang Xu, Sonya Gamble, David Flegel, Carol Pierannunzi, William Garvin, Machell Town
<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
{"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
<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
{"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
<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
{"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}
Geoffrey P Whitfield, Prabasaj Paul, Arthur M Wendel
<p><strong>Problem/condition: </strong>Physical activity is a health-enhancing behavior, and most U.S. adults do not meet the 2008 Physical Activity Guidelines for Americans. Active transportation, such as by walking or bicycling, is one way that persons can be physically active. No comprehensive, multiyear assessments of active transportation surveillance in the United States have been conducted.</p><p><strong>Period covered: </strong>1999-2012.</p><p><strong>Description of systems: </strong>Five surveillance systems assess one or more components of active transportation. The American Community Survey and the National Household Travel Survey (NHTS) both assess the mode of transportation to work in the past week. From these systems, the proportion of respondents who reported walking or bicycling to work can be calculated. NHTS and the American Time Use Survey include 1-day assessments of trips or activities. With that information, the proportion of respondents who report any walking or bicycling for transportation can be calculated. The National Health and Nutrition Examination Survey and the National Health Interview Survey both assess recent (i.e., in the past week or past month) habitual physical activity behaviors, including those performed during active travel. From these systems, the proportion of respondents who report any recent habitual active transportation can be calculated.</p><p><strong>Results: </strong>The prevalence of active transportation as the primary commute mode to work in the past week ranged from 2.6% to 3.4%. The 1-day assessment indicated that the prevalence of any active transportation ranged from 10.5% to 18.5%. The prevalence of any habitual active transportation ranged from 23.9% to 31.4%. No consistent trends in active transportation across time periods and surveillance systems were identified. Among systems, active transportation was usually more common among men, younger respondents, and minority racial/ethnic groups. Among education groups, the highest prevalence of active transportation was usually among the least or most educated groups, and active transportation tended to be more prevalent in densely populated, urban areas.</p><p><strong>Interpretation: </strong>Active transportation is assessed in a wide variety of ways in multiple surveillance systems. Different assessment techniques and construct definitions result in widely discrepant estimates of active transportation; however, some consistent patterns were detected across covariates. Although each type of assessment (i.e., transportation to work, single day, and habitual behavior) measures a different active transportation component, all can be used to monitor population trends in active transportation participation.</p><p><strong>Public health action: </strong>An understanding of the strengths, limitations, and lack of comparability of active transportation assessment techniques is necessary to correctly evaluate findings from the various surveillance s
{"title":"Active Transportation Surveillance - United States, 1999-2012.","authors":"Geoffrey P Whitfield, Prabasaj Paul, Arthur M Wendel","doi":"","DOIUrl":"","url":null,"abstract":"<p><strong>Problem/condition: </strong>Physical activity is a health-enhancing behavior, and most U.S. adults do not meet the 2008 Physical Activity Guidelines for Americans. Active transportation, such as by walking or bicycling, is one way that persons can be physically active. No comprehensive, multiyear assessments of active transportation surveillance in the United States have been conducted.</p><p><strong>Period covered: </strong>1999-2012.</p><p><strong>Description of systems: </strong>Five surveillance systems assess one or more components of active transportation. The American Community Survey and the National Household Travel Survey (NHTS) both assess the mode of transportation to work in the past week. From these systems, the proportion of respondents who reported walking or bicycling to work can be calculated. NHTS and the American Time Use Survey include 1-day assessments of trips or activities. With that information, the proportion of respondents who report any walking or bicycling for transportation can be calculated. The National Health and Nutrition Examination Survey and the National Health Interview Survey both assess recent (i.e., in the past week or past month) habitual physical activity behaviors, including those performed during active travel. From these systems, the proportion of respondents who report any recent habitual active transportation can be calculated.</p><p><strong>Results: </strong>The prevalence of active transportation as the primary commute mode to work in the past week ranged from 2.6% to 3.4%. The 1-day assessment indicated that the prevalence of any active transportation ranged from 10.5% to 18.5%. The prevalence of any habitual active transportation ranged from 23.9% to 31.4%. No consistent trends in active transportation across time periods and surveillance systems were identified. Among systems, active transportation was usually more common among men, younger respondents, and minority racial/ethnic groups. Among education groups, the highest prevalence of active transportation was usually among the least or most educated groups, and active transportation tended to be more prevalent in densely populated, urban areas.</p><p><strong>Interpretation: </strong>Active transportation is assessed in a wide variety of ways in multiple surveillance systems. Different assessment techniques and construct definitions result in widely discrepant estimates of active transportation; however, some consistent patterns were detected across covariates. Although each type of assessment (i.e., transportation to work, single day, and habitual behavior) measures a different active transportation component, all can be used to monitor population trends in active transportation participation.</p><p><strong>Public health action: </strong>An understanding of the strengths, limitations, and lack of comparability of active transportation assessment techniques is necessary to correctly evaluate findings from the various surveillance s","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"64 7","pages":"1-17"},"PeriodicalIF":24.9,"publicationDate":"2015-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34023570","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}
Saswati Sunderam, Dmitry M Kissin, Sara B Crawford, Suzanne G Folger, Denise J Jamieson, 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 advanced technologies to overcome infertility 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). Because more than one embryo might be transferred during a procedure, women who undergo ART procedures, compared with those who conceive naturally, are more likely to deliver multiple birth infants. Multiple births pose substantial risks to both mothers and infants, including obstetric complications, preterm delivery, and low birthweight infants. This report provides state-specific information for the United States (including Puerto Rico) on ART procedures performed in 2012 and compares infant outcomes that occurred in 2012 (resulting from ART procedures performed in 2011 and 2012) with outcomes for all infants born in the United States in 2012.</p><p><strong>Period covered: </strong>2012.</p><p><strong>Description of system: </strong>In 1996, 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). Data are collected through the National ART Surveillance System, a web-based data collecting system developed by CDC. This report includes data from 52 reporting areas (the 50 states, the District of Columbia [DC], and Puerto Rico).</p><p><strong>Results: </strong>In 2012, a total of 157,635 ART procedures performed in 456 U.S. fertility clinics were reported to CDC. These procedures resulted in 51,261 live-birth deliveries and 65,151 infants. The largest numbers of ART procedures were performed among residents of six states: California (20,241), New York (19,618), Illinois (10,449), Texas (10,281), Massachusetts (9,754), and New Jersey (8,590). These six states also had the highest number of live-birth deliveries as a result of ART procedures, and together they accounted for 50.1% of all ART procedures performed, 48.3% of all infants born from ART, and 48.3% of all ART multiple live-birth deliveries. Nationally, the total number of ART procedures performed per 1 million women of reproductive age (15-44 years), which is a proxy indicator of ART use, was 2,483. This indicator of ART use exceeded the national ratio in 13 reporting areas (California, Connecticut, Delaware, Hawaii, Illinois, Maryland, Massachusetts, New Hampshire, New Jersey, New York, Rhode Island, Virginia, and DC) and was more than twice the national ratio in three reporting areas (Massachusetts, New Jersey, and DC). Nationally, among ART cycles with patients using fresh embryos from their own eggs, in which at least one embryo was transferred, the average number of embryos transferred incre
{"title":"Assisted Reproductive Technology Surveillance — United States, 2012.","authors":"Saswati Sunderam, Dmitry M Kissin, Sara B Crawford, Suzanne G Folger, Denise J Jamieson, Lee Warner, Wanda D Barfield","doi":"","DOIUrl":"","url":null,"abstract":"<p><strong>Problem/condition: </strong>Since the first U.S. infant conceived with Assisted Reproductive Technology (ART) was born in 1981, both the use of advanced technologies to overcome infertility 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). Because more than one embryo might be transferred during a procedure, women who undergo ART procedures, compared with those who conceive naturally, are more likely to deliver multiple birth infants. Multiple births pose substantial risks to both mothers and infants, including obstetric complications, preterm delivery, and low birthweight infants. This report provides state-specific information for the United States (including Puerto Rico) on ART procedures performed in 2012 and compares infant outcomes that occurred in 2012 (resulting from ART procedures performed in 2011 and 2012) with outcomes for all infants born in the United States in 2012.</p><p><strong>Period covered: </strong>2012.</p><p><strong>Description of system: </strong>In 1996, 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). Data are collected through the National ART Surveillance System, a web-based data collecting system developed by CDC. This report includes data from 52 reporting areas (the 50 states, the District of Columbia [DC], and Puerto Rico).</p><p><strong>Results: </strong>In 2012, a total of 157,635 ART procedures performed in 456 U.S. fertility clinics were reported to CDC. These procedures resulted in 51,261 live-birth deliveries and 65,151 infants. The largest numbers of ART procedures were performed among residents of six states: California (20,241), New York (19,618), Illinois (10,449), Texas (10,281), Massachusetts (9,754), and New Jersey (8,590). These six states also had the highest number of live-birth deliveries as a result of ART procedures, and together they accounted for 50.1% of all ART procedures performed, 48.3% of all infants born from ART, and 48.3% of all ART multiple live-birth deliveries. Nationally, the total number of ART procedures performed per 1 million women of reproductive age (15-44 years), which is a proxy indicator of ART use, was 2,483. This indicator of ART use exceeded the national ratio in 13 reporting areas (California, Connecticut, Delaware, Hawaii, Illinois, Maryland, Massachusetts, New Hampshire, New Jersey, New York, Rhode Island, Virginia, and DC) and was more than twice the national ratio in three reporting areas (Massachusetts, New Jersey, and DC). Nationally, among ART cycles with patients using fresh embryos from their own eggs, in which at least one embryo was transferred, the average number of embryos transferred incre","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"64 6","pages":"1-29"},"PeriodicalIF":24.9,"publicationDate":"2015-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34088408","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}
Tina J Benoit, David D Blaney, Jay E Gee, Mindy G Elrod, Alex R Hoffmaster, Thomas J Doker, William A Bower, Henry T Walke
<p><strong>Problem/condition: </strong>Melioidosis is an infection caused by the Gram-negative bacillus Burkholderia pseudomallei, which is naturally found in water and soil in areas endemic for melioidosis. Infection can be severe and sometimes fatal. The federal select agent program designates B. pseudomallei as a Tier 1 overlap select agent, which can affect both humans and animals. Identification of B. pseudomallei and all occupational exposures must be reported to the Federal Select Agent Program immediately (i.e., within 24 hours), whereas states are not required to notify CDC's Bacterial Special Pathogens Branch (BSPB) of human infections.</p><p><strong>Period covered: </strong>2008-2013.</p><p><strong>Description of system: </strong>The passive surveillance system includes reports of suspected (human and animal) melioidosis cases and reports of incidents of possible occupational exposures. Reporting of suspected cases to BSPB is voluntary. BSPB receives reports of occupational exposure in the context of a request for technical consultation (so that the system does not include the full complement of the mandatory and confidential reporting to the Federal Select Agent Program). Reporting sources include state health departments, medical facilities, microbiologic laboratories, or research facilities. Melioidosis cases are classified using the standard case definition adopted by the Council of State and Territorial Epidemiologists in 2011. In follow up to reports of occupational exposures, CDC often provides technical assistance to state health departments to identify all persons with possible exposures, define level of risk, and provide recommendations for postexposure prophylaxis and health monitoring of exposed persons.</p><p><strong>Results: </strong>During 2008-2013, BSPB provided technical assistance to 20 U.S. states and Puerto Rico involving 37 confirmed cases of melioidosis (34 human cases and three animal cases). Among those with documented travel history, the majority of reported cases (64%) occurred among persons with a documented travel history to areas endemic for melioidosis. Two persons did not report any travel outside of the United States. Separately, six incidents of possible occupational exposure involving research activities also were reported to BSPB, for which two incidents involved occupational exposures and no human infections occurred. Technical assistance was not required for these incidents because of risk-level (low or none) and appropriate onsite occupational safety response. Of the 261 persons at risk for occupational exposure to B. pseudomallei while performing laboratory diagnostics, 43 (16%) persons had high-risk exposures, 130 (50%) persons had low-risk exposures, and 88 (34%) persons were classified as having undetermined or unknown risk.</p><p><strong>Interpretation: </strong>A small number of U.S. cases of melioidosis have been reported among persons with no travel history outside of the United States, wh
{"title":"Melioidosis Cases and Selected Reports of Occupational Exposures to Burkholderia pseudomallei--United States, 2008-2013.","authors":"Tina J Benoit, David D Blaney, Jay E Gee, Mindy G Elrod, Alex R Hoffmaster, Thomas J Doker, William A Bower, Henry T Walke","doi":"","DOIUrl":"","url":null,"abstract":"<p><strong>Problem/condition: </strong>Melioidosis is an infection caused by the Gram-negative bacillus Burkholderia pseudomallei, which is naturally found in water and soil in areas endemic for melioidosis. Infection can be severe and sometimes fatal. The federal select agent program designates B. pseudomallei as a Tier 1 overlap select agent, which can affect both humans and animals. Identification of B. pseudomallei and all occupational exposures must be reported to the Federal Select Agent Program immediately (i.e., within 24 hours), whereas states are not required to notify CDC's Bacterial Special Pathogens Branch (BSPB) of human infections.</p><p><strong>Period covered: </strong>2008-2013.</p><p><strong>Description of system: </strong>The passive surveillance system includes reports of suspected (human and animal) melioidosis cases and reports of incidents of possible occupational exposures. Reporting of suspected cases to BSPB is voluntary. BSPB receives reports of occupational exposure in the context of a request for technical consultation (so that the system does not include the full complement of the mandatory and confidential reporting to the Federal Select Agent Program). Reporting sources include state health departments, medical facilities, microbiologic laboratories, or research facilities. Melioidosis cases are classified using the standard case definition adopted by the Council of State and Territorial Epidemiologists in 2011. In follow up to reports of occupational exposures, CDC often provides technical assistance to state health departments to identify all persons with possible exposures, define level of risk, and provide recommendations for postexposure prophylaxis and health monitoring of exposed persons.</p><p><strong>Results: </strong>During 2008-2013, BSPB provided technical assistance to 20 U.S. states and Puerto Rico involving 37 confirmed cases of melioidosis (34 human cases and three animal cases). Among those with documented travel history, the majority of reported cases (64%) occurred among persons with a documented travel history to areas endemic for melioidosis. Two persons did not report any travel outside of the United States. Separately, six incidents of possible occupational exposure involving research activities also were reported to BSPB, for which two incidents involved occupational exposures and no human infections occurred. Technical assistance was not required for these incidents because of risk-level (low or none) and appropriate onsite occupational safety response. Of the 261 persons at risk for occupational exposure to B. pseudomallei while performing laboratory diagnostics, 43 (16%) persons had high-risk exposures, 130 (50%) persons had low-risk exposures, and 88 (34%) persons were classified as having undetermined or unknown risk.</p><p><strong>Interpretation: </strong>A small number of U.S. cases of melioidosis have been reported among persons with no travel history outside of the United States, wh","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"64 5","pages":"1-9"},"PeriodicalIF":24.9,"publicationDate":"2015-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34252572","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}
Denise V D'Angelo, Brenda Le, Mary Elizabeth O'Neil, Letitia Williams, Indu B Ahluwalia, Leslie L Harrison, R Louise Floyd, Violanda Grigorescu
<p><strong>Problem/condition: </strong>In 2009, before passage of the 2010 Patient Protection and Affordable Care Act (ACA), approximately 20% of women aged 18-64 years had no health insurance coverage. In addition, many women experienced transitions in coverage around the time of pregnancy. Having no health insurance coverage or experiencing gaps or shifts in coverage can be a barrier to receiving preventive health services and treatment for health problems that could affect pregnancy and newborn health. With the passage of ACA, women who were previously uninsured or had insurance that provided inadequate coverage might have better access to health services and better coverage, including additional preventive services with no cost sharing. Because certain elements of ACA (e.g., no lifetime dollar limits, dependent coverage to age 26, and provision of preventive services without cost sharing) were implemented as early as September 2010, data from 2009 can be used as a baseline to measure the incremental impact of ACA on the continuity of health care coverage for women around the time of pregnancy.</p><p><strong>Reporting period covered: </strong>2009.</p><p><strong>Description of system: </strong>The Pregnancy Risk Assessment Monitoring System (PRAMS) is an ongoing state- and population-based surveillance system designed to monitor selected maternal behaviors and experiences that occur before, during, and shortly after pregnancy among women who deliver live-born infants in selected U.S. states and New York City, New York. PRAMS uses mixed-mode data collection, in which up to three self-administered surveys are mailed to a sample of mothers, and those who do not respond are contacted for telephone interviews. Self-reported survey data are linked to birth certificate data and weighted for sample design, nonresponse, and noncoverage. Annual PRAMS data sets are created and used to produce statewide estimates of preconception and perinatal health behaviors and experiences in selected states and New York City. This report summarizes data from 29 states that conducted PRAMS in 2009, before the passage of ACA, and achieved an overall weighted response rate of ≥65%. Data on the prevalence of health insurance coverage stability (stable coverage, unstable coverage, and uninsured) across three time periods (the month before pregnancy, during pregnancy, and at the time of delivery) are reported by state and selected maternal characteristics. Women with stable coverage had the same type of health insurance (private or Medicaid) for all three time periods. Women with unstable coverage experienced a change in health insurance coverage between any of the three time periods. This includes movement from having no insurance coverage to gaining coverage, movement from one type of coverage to another, and loss of coverage. Women in the uninsured group had no insurance coverage during any of the three time periods. Estimates for health insurance stability across the th
{"title":"Patterns of Health Insurance Coverage Around the Time of Pregnancy Among Women with Live-Born Infants--Pregnancy Risk Assessment Monitoring System, 29 States, 2009.","authors":"Denise V D'Angelo, Brenda Le, Mary Elizabeth O'Neil, Letitia Williams, Indu B Ahluwalia, Leslie L Harrison, R Louise Floyd, Violanda Grigorescu","doi":"","DOIUrl":"","url":null,"abstract":"<p><strong>Problem/condition: </strong>In 2009, before passage of the 2010 Patient Protection and Affordable Care Act (ACA), approximately 20% of women aged 18-64 years had no health insurance coverage. In addition, many women experienced transitions in coverage around the time of pregnancy. Having no health insurance coverage or experiencing gaps or shifts in coverage can be a barrier to receiving preventive health services and treatment for health problems that could affect pregnancy and newborn health. With the passage of ACA, women who were previously uninsured or had insurance that provided inadequate coverage might have better access to health services and better coverage, including additional preventive services with no cost sharing. Because certain elements of ACA (e.g., no lifetime dollar limits, dependent coverage to age 26, and provision of preventive services without cost sharing) were implemented as early as September 2010, data from 2009 can be used as a baseline to measure the incremental impact of ACA on the continuity of health care coverage for women around the time of pregnancy.</p><p><strong>Reporting period covered: </strong>2009.</p><p><strong>Description of system: </strong>The Pregnancy Risk Assessment Monitoring System (PRAMS) is an ongoing state- and population-based surveillance system designed to monitor selected maternal behaviors and experiences that occur before, during, and shortly after pregnancy among women who deliver live-born infants in selected U.S. states and New York City, New York. PRAMS uses mixed-mode data collection, in which up to three self-administered surveys are mailed to a sample of mothers, and those who do not respond are contacted for telephone interviews. Self-reported survey data are linked to birth certificate data and weighted for sample design, nonresponse, and noncoverage. Annual PRAMS data sets are created and used to produce statewide estimates of preconception and perinatal health behaviors and experiences in selected states and New York City. This report summarizes data from 29 states that conducted PRAMS in 2009, before the passage of ACA, and achieved an overall weighted response rate of ≥65%. Data on the prevalence of health insurance coverage stability (stable coverage, unstable coverage, and uninsured) across three time periods (the month before pregnancy, during pregnancy, and at the time of delivery) are reported by state and selected maternal characteristics. Women with stable coverage had the same type of health insurance (private or Medicaid) for all three time periods. Women with unstable coverage experienced a change in health insurance coverage between any of the three time periods. This includes movement from having no insurance coverage to gaining coverage, movement from one type of coverage to another, and loss of coverage. Women in the uninsured group had no insurance coverage during any of the three time periods. Estimates for health insurance stability across the th","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"64 4","pages":"1-19"},"PeriodicalIF":24.9,"publicationDate":"2015-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10966621/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"33399357","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}
Nana O Wilson, Rebecca L Hall, Susan P Montgomery, Jeffrey L Jones
<p><strong>Problem/condition: </strong>Trichinellosis is a parasitic disease caused by nematodes in the genus Trichinella, which are among the most widespread zoonotic pathogens globally. Infection occurs following consumption of raw or undercooked meat infected with Trichinella larvae. Clinical manifestations of the disease range from asymptomatic infection to fatal disease; the common signs and symptoms include eosinophilia, fever, periorbital edema, and myalgia. Trichinellosis surveillance has documented a steady decline in the reported incidence of the disease in the United States. In recent years, proportionally fewer cases have been associated with consumption of commercial pork products, and more are associated with meat from wild game such as bear.</p><p><strong>Period covered: </strong>2008-2012.</p><p><strong>Description of system: </strong>Trichinellosis has been a nationally notifiable disease in the United States since 1966 and is reportable in 48 states, New York City, and the District of Columbia. The purpose of national surveillance is to estimate incidence of infection, detect outbreaks, and guide prevention efforts. Cases are defined by clinical characteristics and the results of laboratory testing for evidence of Trichinella infection. Food exposure histories are obtained at the local level either at the point of care or through health department interview. States notify CDC of cases electronically through the National Notifiable Disease Surveillance System (available at http://wwwn.cdc.gov/nndss). In addition, states are asked to submit a standardized supplementary case report form that captures the clinical and epidemiologic information needed to meet the surveillance case definition. Reported cases are summarized weekly and annually in MMWR.</p><p><strong>Results: </strong>During 2008-2012, a total of 90 cases of trichinellosis were reported to CDC from 24 states and the District of Columbia. Six (7%) cases were excluded from analysis because a supplementary case report form was not submitted or the case did not meet the case definition. A total of 84 confirmed trichinellosis cases, including five outbreaks that comprised 40 cases, were analyzed and included in this report. During 2008-2012, the mean annual incidence of trichinellosis in the United States was 0.1 cases per 1 million population, with a median of 15 cases per year. Pork products were associated with 22 (26%) cases, including 10 (45%) that were linked with commercial pork products, six (27%) that were linked with wild boar, and one (5%) that was linked with home-raised swine; five (23%) were unspecified. Meats other than pork were associated with 45 (54%) cases, including 41 (91%) that were linked with bear meat, two (4%) that were linked with deer meat, and two (4%) that were linked with ground beef. The source for 17 (20%) cases was unknown. Of the 51 patients for whom information was reported on the manner in which the meat product was cooked, 24 (47%) repor
{"title":"Trichinellosis surveillance--United States, 2008-2012.","authors":"Nana O Wilson, Rebecca L Hall, Susan P Montgomery, Jeffrey L Jones","doi":"","DOIUrl":"","url":null,"abstract":"<p><strong>Problem/condition: </strong>Trichinellosis is a parasitic disease caused by nematodes in the genus Trichinella, which are among the most widespread zoonotic pathogens globally. Infection occurs following consumption of raw or undercooked meat infected with Trichinella larvae. Clinical manifestations of the disease range from asymptomatic infection to fatal disease; the common signs and symptoms include eosinophilia, fever, periorbital edema, and myalgia. Trichinellosis surveillance has documented a steady decline in the reported incidence of the disease in the United States. In recent years, proportionally fewer cases have been associated with consumption of commercial pork products, and more are associated with meat from wild game such as bear.</p><p><strong>Period covered: </strong>2008-2012.</p><p><strong>Description of system: </strong>Trichinellosis has been a nationally notifiable disease in the United States since 1966 and is reportable in 48 states, New York City, and the District of Columbia. The purpose of national surveillance is to estimate incidence of infection, detect outbreaks, and guide prevention efforts. Cases are defined by clinical characteristics and the results of laboratory testing for evidence of Trichinella infection. Food exposure histories are obtained at the local level either at the point of care or through health department interview. States notify CDC of cases electronically through the National Notifiable Disease Surveillance System (available at http://wwwn.cdc.gov/nndss). In addition, states are asked to submit a standardized supplementary case report form that captures the clinical and epidemiologic information needed to meet the surveillance case definition. Reported cases are summarized weekly and annually in MMWR.</p><p><strong>Results: </strong>During 2008-2012, a total of 90 cases of trichinellosis were reported to CDC from 24 states and the District of Columbia. Six (7%) cases were excluded from analysis because a supplementary case report form was not submitted or the case did not meet the case definition. A total of 84 confirmed trichinellosis cases, including five outbreaks that comprised 40 cases, were analyzed and included in this report. During 2008-2012, the mean annual incidence of trichinellosis in the United States was 0.1 cases per 1 million population, with a median of 15 cases per year. Pork products were associated with 22 (26%) cases, including 10 (45%) that were linked with commercial pork products, six (27%) that were linked with wild boar, and one (5%) that was linked with home-raised swine; five (23%) were unspecified. Meats other than pork were associated with 45 (54%) cases, including 41 (91%) that were linked with bear meat, two (4%) that were linked with deer meat, and two (4%) that were linked with ground beef. The source for 17 (20%) cases was unknown. Of the 51 patients for whom information was reported on the manner in which the meat product was cooked, 24 (47%) repor","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"64 1","pages":"1-8"},"PeriodicalIF":24.9,"publicationDate":"2015-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"32978108","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}
Catlainn Sionean, Binh C Le, Kathy Hageman, Alexandra M Oster, Cyprian Wejnert, Kristen L Hess, Gabriela Paz-Bailey
<p><strong>Problem/condition: </strong>At the end of 2010, an estimated 872,990 persons in the United States were living with a diagnosis of human immunodeficiency virus (HIV) infection. Approximately one in four of the estimated HIV infections diagnosed in 2011 were attributed to heterosexual contact. Heterosexuals with a low socioeconomic status (SES) are disproportionately likely to be infected with HIV.</p><p><strong>Reporting period: </strong>June-December 2010.</p><p><strong>Description of system: </strong>The National HIV Behavioral Surveillance System (NHBS) collects HIV prevalence and risk behavior data in selected metropolitan statistical areas (MSAs) from three populations at high risk for HIV infection: men who have sex with men, injecting drug users, and heterosexuals at increased risk for HIV infection. Data for NHBS are collected in rotating cycles in these three different populations. For the 2010 NHBS cycle among heterosexuals, men and women were eligible to participate if they were aged 18-60 years, lived in a participating MSA, were able to complete a behavioral survey in English or Spanish, and reported engaging in vaginal or anal sex with one or more opposite-sex partners in the 12 months before the interview. Persons who consented to participate completed an interviewer-administered, standardized questionnaire about HIV-associated behaviors and were offered anonymous HIV testing. Participants were sampled using respondent-driven sampling, a type of chain-referral sampling. Sampling focused on persons of low SES (i.e., income at the poverty level or no more than a high school education) because results of a pilot study indicated that heterosexual adults of low SES were more likely than those of high SES to be infected with HIV. To assess risk and testing experiences among persons at risk for acquiring HIV infection through heterosexual sex, analyses excluded participants who were not low SES, those who reported ever having tested positive for HIV, and those who reported recent (i.e., in the 12 months before the interview) male-male sex or injection drug use. This report summarizes unweighted data regarding HIV-associated risk, prevention, and testing behaviors from 9,278 heterosexual men and women interviewed in 2010 (the second cycle of NHBS data collection among heterosexuals).</p><p><strong>Results: </strong>The median age of participants was 35 years; 47% were men. The majority of participants were black or African American (hereafter referred to as black) (72%) or Hispanic/Latino (21%). Most participants (men: 88%; women: 90%) reported having vaginal sex without a condom with one or more opposite-sex partners in the past 12 months; approximately one third (men: 30%; women: 29%) reported anal sex without a condom with one or more opposite-sex partners. The majority of participants (59%) reported using noninjection drugs in the 12 months before the interview; nearly one in seven (15%) had used crack cocaine. Although most
{"title":"HIV Risk, prevention, and testing behaviors among heterosexuals at increased risk for HIV infection--National HIV Behavioral Surveillance System, 21 U.S. cities, 2010.","authors":"Catlainn Sionean, Binh C Le, Kathy Hageman, Alexandra M Oster, Cyprian Wejnert, Kristen L Hess, Gabriela Paz-Bailey","doi":"","DOIUrl":"","url":null,"abstract":"<p><strong>Problem/condition: </strong>At the end of 2010, an estimated 872,990 persons in the United States were living with a diagnosis of human immunodeficiency virus (HIV) infection. Approximately one in four of the estimated HIV infections diagnosed in 2011 were attributed to heterosexual contact. Heterosexuals with a low socioeconomic status (SES) are disproportionately likely to be infected with HIV.</p><p><strong>Reporting period: </strong>June-December 2010.</p><p><strong>Description of system: </strong>The National HIV Behavioral Surveillance System (NHBS) collects HIV prevalence and risk behavior data in selected metropolitan statistical areas (MSAs) from three populations at high risk for HIV infection: men who have sex with men, injecting drug users, and heterosexuals at increased risk for HIV infection. Data for NHBS are collected in rotating cycles in these three different populations. For the 2010 NHBS cycle among heterosexuals, men and women were eligible to participate if they were aged 18-60 years, lived in a participating MSA, were able to complete a behavioral survey in English or Spanish, and reported engaging in vaginal or anal sex with one or more opposite-sex partners in the 12 months before the interview. Persons who consented to participate completed an interviewer-administered, standardized questionnaire about HIV-associated behaviors and were offered anonymous HIV testing. Participants were sampled using respondent-driven sampling, a type of chain-referral sampling. Sampling focused on persons of low SES (i.e., income at the poverty level or no more than a high school education) because results of a pilot study indicated that heterosexual adults of low SES were more likely than those of high SES to be infected with HIV. To assess risk and testing experiences among persons at risk for acquiring HIV infection through heterosexual sex, analyses excluded participants who were not low SES, those who reported ever having tested positive for HIV, and those who reported recent (i.e., in the 12 months before the interview) male-male sex or injection drug use. This report summarizes unweighted data regarding HIV-associated risk, prevention, and testing behaviors from 9,278 heterosexual men and women interviewed in 2010 (the second cycle of NHBS data collection among heterosexuals).</p><p><strong>Results: </strong>The median age of participants was 35 years; 47% were men. The majority of participants were black or African American (hereafter referred to as black) (72%) or Hispanic/Latino (21%). Most participants (men: 88%; women: 90%) reported having vaginal sex without a condom with one or more opposite-sex partners in the past 12 months; approximately one third (men: 30%; women: 29%) reported anal sex without a condom with one or more opposite-sex partners. The majority of participants (59%) reported using noninjection drugs in the 12 months before the interview; nearly one in seven (15%) had used crack cocaine. Although most ","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"63 14","pages":"1-39"},"PeriodicalIF":24.9,"publicationDate":"2014-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"32918479","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}
Problem/condition: Heat stress illness (HSI), also known as heat-related illness, comprises mild heat edema, heat syncope, heat cramps, heat exhaustion (the most common type of HSI), and heat stroke (the most severe form). CDC's Environmental Public Health Tracking Program receives annual hospitalization discharge data from 23 states that are used to assess and monitor trends of HSI hospitalization over time.
Reporting period: May-September, 2001-2010.
Description of system: The Environmental Public Health Tracking Program is a comprehensive surveillance system implemented in 25 states and one city health department. The core of the system is the Tracking Network, which collects data on environmental hazards, health effects, exposures, and population. The Tracking Network provides nationally consistent environmental and health outcome data that enable federal, state, and local public health agencies to assess trends, explore associations, and generate hypotheses using these data. For HSI surveillance, the Tracking Network uses state-based hospital discharge data.
Results: During 2001-2010, approximately 28,000 HSI hospitalizations occurred in 20 states participating in the Tracking Program. Data from three states were not included in this report because of missing data for ≥3 years. Two states joined the Tracking Program after the study period and also are not included in this report. The majority of HSI hospitalizations occurred among males and persons aged ≥65 years. The highest rates of hospitalizations were in the Midwest and the South. During this period, an overall 2%-5% increase in the rate of HSI hospitalizations occurred in all 20 states compared with the 2001 rate. The correlation between the average number of HSI hospitalizations and the average monthly maximum temperature/heat index was statistically significant (at p<0.0001) in all 20 states.
Interpretation: Consistent with previous studies, age and sex were identified as major risk factors for HSI hospitalizations. Certain Tracking states that experienced high temperatures during summer months showed an increase in rate of HSI hospitalizations over the 10-year study period.
Public health action: HSIs are preventable and an important focus of public health interventions at state and local health departments. Federal, state, and local public health agencies can use data on HSI hospitalizations for surveillance purposes to estimate trends over time and to design targeted intervention to reduce heat stress morbidity among at-risk populations.
{"title":"Heat stress illness hospitalizations--environmental public health tracking program, 20 States, 2001-2010.","authors":"Ekta Choudhary, Ambarish Vaidyanathan","doi":"","DOIUrl":"","url":null,"abstract":"<p><strong>Problem/condition: </strong>Heat stress illness (HSI), also known as heat-related illness, comprises mild heat edema, heat syncope, heat cramps, heat exhaustion (the most common type of HSI), and heat stroke (the most severe form). CDC's Environmental Public Health Tracking Program receives annual hospitalization discharge data from 23 states that are used to assess and monitor trends of HSI hospitalization over time.</p><p><strong>Reporting period: </strong>May-September, 2001-2010.</p><p><strong>Description of system: </strong>The Environmental Public Health Tracking Program is a comprehensive surveillance system implemented in 25 states and one city health department. The core of the system is the Tracking Network, which collects data on environmental hazards, health effects, exposures, and population. The Tracking Network provides nationally consistent environmental and health outcome data that enable federal, state, and local public health agencies to assess trends, explore associations, and generate hypotheses using these data. For HSI surveillance, the Tracking Network uses state-based hospital discharge data.</p><p><strong>Results: </strong>During 2001-2010, approximately 28,000 HSI hospitalizations occurred in 20 states participating in the Tracking Program. Data from three states were not included in this report because of missing data for ≥3 years. Two states joined the Tracking Program after the study period and also are not included in this report. The majority of HSI hospitalizations occurred among males and persons aged ≥65 years. The highest rates of hospitalizations were in the Midwest and the South. During this period, an overall 2%-5% increase in the rate of HSI hospitalizations occurred in all 20 states compared with the 2001 rate. The correlation between the average number of HSI hospitalizations and the average monthly maximum temperature/heat index was statistically significant (at p<0.0001) in all 20 states.</p><p><strong>Interpretation: </strong>Consistent with previous studies, age and sex were identified as major risk factors for HSI hospitalizations. Certain Tracking states that experienced high temperatures during summer months showed an increase in rate of HSI hospitalizations over the 10-year study period.</p><p><strong>Public health action: </strong>HSIs are preventable and an important focus of public health interventions at state and local health departments. Federal, state, and local public health agencies can use data on HSI hospitalizations for surveillance purposes to estimate trends over time and to design targeted intervention to reduce heat stress morbidity among at-risk populations.</p>","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"63 13","pages":"1-10"},"PeriodicalIF":24.9,"publicationDate":"2014-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"32904552","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}
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