RESUMO
AIMS: We assessed prevalence and correlates for hepatitis C virus (HCV) infection in young adult people who inject drugs (PWID) in rural New Mexico, where opioid use has been historically problematic. METHODS: Participants were 18-29 years old with self-reported injection drug use in the past 90 days. We conducted testing for HCV antibodies (anti-HCV) and HCV ribonucleic acid (RNA) and assessed sociodemographic and risk exposures. We provided counseling and referrals to prevention services and drug treatment. We estimated prevalence ratios (PR) to assess bivariate associations with HCV infection; and adjusted PRs using modified Poisson regression methods. RESULTS: Among 256 participants tested for anti-HCV, 156 (60.9 %) had been exposed (anti-HCV positive), and of 230 tested for both anti-HCV and HCV RNA, 103 (44.8 %) had current infection (RNA-positive). The majority (87.6 %) of participants were Hispanic. Almost all (96.1 %) had ever injected heroin; 52.4 % and 52.0 % had ever injected methamphetamine or cocaine, respectively. Polysubstance injecting (heroin and any other drug) was associated with significantly higher prevalence of HCV infection (76.0 %) compared to injecting only heroin (24.0 %) (PR: 3.17 (95 % CI:1.93, 5.23)). Years of injecting, history of non-fatal opioid-involved overdose, polysubstance injecting, and stable housing were independently associated with HCV infection. CONCLUSIONS: HCV is highly prevalent among young adult PWID in rural NM. The high reported prevalence of polysubstance injecting and its association with HCV infection should be considered in prevention planning.
Assuntos
Hepatite C/epidemiologia , Abuso de Substâncias por Via Intravenosa/epidemiologia , Adolescente , Adulto , Feminino , Hepacivirus , Anticorpos Anti-Hepatite C , Heroína , Humanos , Masculino , New Mexico/epidemiologia , Transtornos Relacionados ao Uso de Opioides/complicações , Preparações Farmacêuticas , Prevalência , Fatores de Risco , População Rural , Adulto JovemRESUMO
OBJECTIVE: To examine trends in pre-high blood pressure (BP [HBP]) and HBP among US adolescents by body weight category during 1988-2012. STUDY DESIGN: We estimated pre-HBP and HBP prevalence among 14,844 participants aged 12-19 years using National Health and Nutrition Examination Surveys from 1988-1994, 1999-2002, 2003-2006, and 2007-2012. Pre-HBP and HBP were defined based on age-sex-height-specific BP percentiles. We examined the temporal trends in pre-HBP and HBP across category of body weight (normal weight vs overweight/obese), adjusted for potential explanatory factors, and estimated the number of adolescents with pre-HBP and HBP. RESULTS: Between 1988 and 2012, the prevalence of HBP decreased and pre-HBP did not change. Among normal weight adolescents, multivariable adjusted pre-HBP prevalence was 11.0% during 1988-2012, and 10.9% during 2007-2012 (P = .923 for trend); adjusted HBP prevalence increased from 1988-1994 (0.9%) to 1999-2002 (2.3%), then declined significantly to 1.4% during 2007-2012 (P = .049). Among overweight/obese adolescents, adjusted pre-HBP prevalence was 17.5% during 1988-2012, and 20.9% during 2007-2012 (P = .323); adjusted HBP prevalence declined significantly from 7.2% during 1988-1994 to 3.2% during 2007-2012 (P = .018). Because of population growth, estimated number of adolescents with pre-HBP or HBP increased, from 4.18 million during 1988-1994 to 5.59 million during 2007-2012. CONCLUSIONS: Between 1988 and 2012, pre-HBP prevalence was consistently higher among overweight/obese adolescent than those of normal weight, and the pattern remain unchanged. HBP prevalence declined significantly, especially among overweight/obese adolescent that are not completely explained by sociodemographic or lifestyle characteristics.
Assuntos
Peso Corporal , Hipertensão/epidemiologia , Adolescente , Criança , Feminino , Humanos , Hipertensão/etiologia , Masculino , Sobrepeso/complicações , Sobrepeso/epidemiologia , Prevalência , Fatores de Tempo , Estados Unidos , Adulto JovemRESUMO
PROBLEM: Chronic diseases (e.g., heart disease, stroke, cancer, and diabetes) are the leading causes of morbidity and mortality in the United States. Engaging in healthy behaviors (e.g., quitting smoking and tobacco use, being more physically active, and eating a nutritious diet) and accessing preventive health-care services (e.g., routine physical checkups, screening for cancer, checking blood pressure, testing blood cholesterol, and receiving recommended vaccinations) can reduce morbidity and mortality from chronic and infectious disease and lower medical costs. Monitoring and evaluating health-risk behaviors and the use of health services is essential to developing intervention programs, promotion strategies, and health policies that address public health at multiple levels, including state, territory, metropolitan and micropolitan statistical area (MMSA), and county. REPORTING PERIOD: January-December 2010. DESCRIPTION OF THE SYSTEM: The Behavioral Risk Factor Surveillance System (BRFSS) is an ongoing, state-based, random-digit-dialed 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 and practices related to the leading causes of death and disabilities in the United States. This report presents results for 2010 for all 50 states, the District of Columbia, the Commonwealth of Puerto Rico, Guam, the U.S. Virgin Islands, 192 MMSAs, and 302 counties. RESULTS: In 2010, the estimated prevalence of high-risk health behaviors, chronic diseases and conditions, access to health care, and use of preventive health services varied substantially by state and territory, MMSA, and county. In the following summary of results, each set of proportions refers to the range of estimated prevalence for the disease, condition, or behaviors, as reported by survey respondents. Adults reporting good or better health: 67.9%-89.3% for states and territories, 72.2%-92.1% for MMSAs, and 72.8%-95.8% for counties. Adults with health-care coverage: 69.4%-95.7% for states and territories, 45.7%-97.0% for MMSAs, and 45.7%-97.2% for counties. Adults who had a dental visit in the past year: 57.2%-81.7% for states and territories, 47.1%-83.5% for MMSAs, and 47.1%-88.2% for counties. Adults aged ≥65 years having had all their natural teeth extracted (edentulism): 7.4%-36.0% for states and territories, 4.8%-34.8% for MMSAs, and 2.4%-39.3% for counties. A routine physical checkup during the preceding 12 months: 53.8%-80.0% for states and territories, 49.5%-82.6% for MMSAs, and 49.5%-85.3% for counties. Influenza vaccination received during the preceding 12 months among adults aged ≥65 years: 26.9%-73.4% for states and territories, 51.7%-77.1% for MMSAs, and 49.3%-87.8% for counties. Pneumococcal vaccination ever received among adults aged ≥65 years: 24.7%-74.0% for states and territories, 48.6%-79.9% for MMSAs, and 47.6%-83.1% for counties. Sigmoidoscopy or colonoscopy ever received among adults aged ≥50 years: 37.8%-75.7% for states and territories, 37.3%-79.9% for MMSAs, and 37.3%-82.5% for counties. Blood stool test received during the preceding 2 years among adults aged ≥50 years: 8.5%-27.0% for states and territories, 6.7%-51.3% for MMSAs, and 6.8%-57.2% for counties. Women who reported having had a Papanicolaou test during the preceding 3 years: 67.8%-88.9% for states and territories, 63.3%-91.2% for MMSAs, and 63.2%-95.7% for counties. Women aged ≥40 years who had a mammogram during the preceding 2 years: 63.8%-83.6% for states and territories, 60.3%-86.2% for MMSAs, and 59.3%-89.7% for counties. Current cigarette smokers: 5.8%-26.8% for states and territories, 5.8%-28.5% for MMSAs, and 5.9%-29.8% for counties. Binge drinking during the preceding month: 6.6%-21.6% for states and territories, 3.6%-23.0% for MMSAs, and 3.8%-24.0% for counties. Heavy drinking during the preceding month: 2.0%-7.2% for states and territories, 1.0%-10.0% for MMSAs, and 1.0%-14.2% for counties. Adults reporting no leisure-time physical activity: 17.5%-42.3% for states and territories, 13.1%-37.6% for MMSAs, and 8.5%-39.0% for counties. Adults who were overweight: 32.6%-40.7% for states and territories, 28.5%-42.5% for MMSAs, and 27.2%-46.4% for counties. Adults aged ≥20 years who were obese: 22.1%-35.0% for states and territories, 17.1%-42.1% for MMSAs, and 13.3%-42.1% for counties. Adults with current asthma: 5.2%-11.1% for states and territories, 3.4%-14.5% for MMSAs, and 3.3%-14.6% for counties. Adults with diagnosed diabetes: 5.3%-13.2% for states and territories, 4.6%-15.4% for MMSAs, and 2.6%-18.8% for counties. Adults with limited activities because of physical, mental or emotional problems: 10.8%-28.2% for states and territories, 13.5%-38.3% for MMSAs, and 11.7%-32.0% for counties. Adults using special equipment because of any health problem: 2.8%-10.6% for states and territories, 4.5%-15.5% for MMSAs, and 1.3%-15.5% for counties. Adults aged ≥45 years who have had coronary heart disease: 5.3%-16.7% for states and territories, 6.5%-19.6% for MMSAs, and 4.9%-19.6% for counties. Adults aged ≥45 years who have had a stroke: 2.4%-7.1% for states and territories, 2.3%-8.8% for MSMAs, and 1.7%-8.8% for counties. INTERPRETATION: The findings in this report indicate substantial variations in the health-risk behaviors, chronic diseases and conditions, access to health-care services, and the use of the preventive health services among U.S. adults at the state and territory, MMSA, and county levels. Healthy People 2010 (HP 2010) objectives were established to monitor health behaviors, conditions, and the use of preventive health services for the first decade of the 2000s. The findings in this report indicate that many of the HP 2010 objectives were not achieved by 2010. The findings underscore the continued need for surveillance of health-risk behaviors, chronic diseases, and conditions and of the use of preventive health-care services. PUBLIC HEALTH ACTION: Local and state health departments and federal agencies use BRFSS data to identify populations at high risk for certain health-risk behaviors, chronic diseases, and conditions and to evaluate the use of preventive health-care services. BRFSS data also are used to direct, implement, monitor, and evaluate public health programs and policies that can lead to a reduction in morbidity and mortality from chronic conditions and corresponding health-risk behaviors.