Trends in heroin use and injection drug use among high school students in five urban school districts in the US (2005-2017).

Background. We describe the prevalence of and changes in heroin use and injection drug use (IDU) among high school students in five large, urban school districts in the US (2005-2017); nearly three-fourths of the students were Black and/or Hispanic/Latino.Methods. Data are from the Centers for Disease Control and Prevention's "Youth Risk Behavior Survey" program, which includes biennial surveys in urban school districts. We pooled data across districts and survey years, and then generated weighted prevalence estimates (and 95% CIs) for any lifetime heroin use and IDU. Joinpoint regression modeling was used to estimate changes in prevalence over the study period.Results. Biennial prevalence estimates (2005-2017) for heroin use and IDU were above 1.8% for all seven timepoints. In 2017, prevalence of heroin use and IDU were 2.9% and 2.5%, respectively. Both heroin use and IDU were higher among boys than girls. There were statistically significant increases in heroin use and IDU among girls from 2005-2009, whereas changes over time were stable among boys.Conclusions. High school students in large, urban school districts may have higher rates of heroin use and IDU than US high school students in general, and there is little evidence of increases since 2009. This study suggests that adolescence may be a critical period for initiation of heroin use among adolescents in large urban school districts, the majority of whom are Black and/or Latino.Supplemental data for this article is available online at https://doi.org/10.1080/15332640.2021.1992327 .

Urban-rural disparity in cancer mortality and changing trend in Tianjin, China, during 1999 and 2016.

OBJECTIVE: Compare the urban-rural disparity in cancer mortality and changing trend during the past 18 years in Tianjin, China. METHODS: Cancer death data were obtained from Tianjin All Cause of Death Registration System (CDRS), which covers the whole population of Tianjin. We calculated and compared the constituent ratio of cancer deaths, age-standardized mortality rate(ASR)and changing trends between urban and rural areas. RESULTS: From 1999 to 2016, a total of 245,744 cancer deaths were reported, accounting 21.7% of all deaths in Tianjin. The ASR of total cancer mortality was higher in urban areas than in rural areas. A total of 33,739 persons were avoided dying of cancers in rural area compared to the urban death level from 1999 to 2016, which was 40.1% compare to the current level of rural areas. But the gap between urban and rural areas became narrowed gradually. The urban-rural ratios (urban/rural) of total cancer mortality changed from 1.76 (125.7/71.5)[95%CI,1.67,1.84] in 1999 to 1.11 (99.6/90.0)[95%CI,1.06,1.15] in 2016. The ASR of lung, liver and esophagus cancer became higher in rural areas than in urban areas in 2016. CONCLUSION: Cancer transition was obviously occurred in Tianjin and showed different speeds and big gap between urban and rural areas. Much more attention was needed to pay in rural areas which still have increasing trends in most cancers mortality recently.

Esophageal cancer: trends in incidence and mortality in China from 2005 to 2015.

BACKGROUND: The long-term trend analysis of esophageal cancer is rarely reported in China. Our purpose is to analyze the incidence and mortality trends of esophageal cancer in China from 2005 to 2015. METHOD: Based on the data in the annual report of the China Cancer Registry, a comprehensive analysis of esophageal cancer cases and deaths from 2005 to 2015 was carried out. The incidence and mortality of esophageal cancer are stratified by gender and region (urban or rural). Long-term trend analysis was conducted using Joinpoint regression model. RESULT: In China, the age-standardized incidence rates by the world population declined from 13.84/105 in 2005 to 11.64/105 in 2015. Annual percent changes were 3.4% (95% CI: 0.6%, 6.3%) in the period 2005-2011, -7.4% (95% CI: -10.1%, -4.7%) in the period 2011-2015, respectively. The age-standardized mortality rates declined from 10.86/105 in 2005 to 8.57/105 in 2015. And the average annual percent change was -4.1% (95% CI: -6.7%, -1.5%). The incidence and mortality of esophageal cancer in men are higher than those in women, and the incidence and mortality of esophageal cancer in rural areas are much higher than those in urban areas. CONCLUSION: In China, the incidence of esophageal cancer first increased and then decreased during 2005-2015, while the mortality rate has been declining.

Relative contribution of diet and physical activity to increased adiposity among rural to urban migrants in India: A cross-sectional study.

BACKGROUND: In common with many other low- and middle-income countries (LMICs), rural to urban migrants in India are at increased risk of obesity, but it is unclear whether this is due to increased energy intake, reduced energy expenditure, or both. Knowing this and the relative contribution of specific dietary and physical activity behaviours to greater adiposity among urban migrants could inform policies for control of the obesity epidemic in India and other urbanising LMICs. In the Indian Migration Study, we previously found that urban migrants had greater prevalence of obesity and diabetes compared with their nonmigrant rural-dwelling siblings. In this study, we investigated the relative contribution of energy intake and expenditure and specific diet and activity behaviours to greater adiposity among urban migrants in India. METHODS AND FINDINGS: The Indian Migration Study was conducted between 2005 and 2007. Factory workers and their spouses from four cities in north, central, and south of India, together with their rural-dwelling siblings, were surveyed. Self-reported data on diet and physical activity was collected using validated questionnaires, and adiposity was estimated from thickness of skinfolds. The association of differences in dietary intake, physical activity, and adiposity between siblings was examined using multivariable linear regression. Data on 2,464 participants (median age 43 years) comprised of 1,232 sibling pairs (urban migrant and their rural-dwelling sibling) of the same sex (31% female) were analysed. Compared with the rural siblings, urban migrants had 18% greater adiposity, 12% (360 calories/day) more energy intake, and 18% (11 kilojoules/kg/day) less energy expenditure (P < 0.001 for all). Energy intake and expenditure were independently associated with increased adiposity of urban siblings, accounting for 4% and 6.5% of adiposity difference between siblings, respectively. Difference in dietary fat/oil (10 g/day), time spent engaged in moderate or vigorous activity (69 minutes/day), and watching television (30 minutes/day) were associated with difference in adiposity between siblings, but no clear association was observed for intake of fruits and vegetables, sugary foods and sweets, cereals, animal and dairy products, and sedentary time. The limitations of this study include a cross-sectional design, systematic differences in premigration characteristics of migrants and nonmigrants, low response rate, and measurement error in estimating diet and activity from questionnaires. CONCLUSIONS: We found that increased energy intake and reduced energy expenditure contributed equally to greater adiposity among urban migrants in India. Policies aimed at controlling the rising prevalence of obesity in India and potentially other urbanising LMICs need to be multicomponent, target both energy intake and expenditure, and focus particularly on behaviours such as dietary fat/oil intake, time spent on watching television, and time spent engaged in moderate or vigorous intensity physical activity.

Youth Perceptions of Parental Involvement and Monitoring, Discrepancies With Parental Perceptions, and Their Associations With First Cigarette Use in Black and White Girls.

OBJECTIVE: Low parental involvement and monitoring are risk factors for adolescent cigarette use. Assessments of parental involvement and monitoring by youth and parents may capture an additional source of risk: differences in perceptions of these parenting behaviors. This study tested for unique contributions of youth-reported parental involvement and monitoring and youth-parent discrepancies in reporting to first cigarette use in girls. METHOD: Data were drawn from interviews at ages 8-17 with 1,869 girls (57.3% Black, 42.7% White) and their primary caregivers (94% mothers) in the Pittsburgh Girls Study. Cox proportional hazards regression analyses were conducted to predict first cigarette use as a function of girls' reports of parental involvement and monitoring, magnitude and direction of youth-parent reporting discrepancies, and the interaction between them, adjusting for neighborhood, socioeconomic, and individual level factors. RESULTS: High magnitude of discrepancy in parental involvement reports (hazard ratio [HR] = 1.14, 95% confidence interval [CI] [1.03, 1.26]) and lower perceived parental involvement by girls (HR = 1.14, CI [1.03, 1.27]) were associated with an elevated risk for first cigarette use. Girls' reports of low parental monitoring also predicted first cigarette use (HR = 1.14, CI [1.06, 1.21]). CONCLUSIONS: Girls whose parents have limited awareness of their whereabouts and friends (i.e., low monitoring) are at an elevated risk for trying cigarettes, but parent-daughter differences in perceived awareness do not affect risk. By contrast, girls who perceive a lower degree of parental involvement than their parents do are at increased risk. Monitoring is one component of parenting that may reduce smoking risk; shared perspectives on the parent's level of involvement are similarly important.

HIV testing and treatment coverage achieved after 4 years across 14 urban and peri-urban communities in Zambia and South Africa: An analysis of findings from the HPTN 071 (PopART) trial.

BACKGROUND: In 2014, the Joint United Nations Programme on HIV/AIDS (UNAIDS) set the 90-90-90 targets: that 90% of people living with HIV know their HIV status, that 90% of those who know their HIV-positive status are on antiretroviral therapy (ART), and that 90% of those on treatment are virally suppressed. The aim was to reach these targets by 2020. We assessed the feasibility of achieving the first two targets, and the corresponding 81% ART coverage target, as part of the HIV Prevention Trials Network (HPTN) 071 Population Effects of Antiretroviral Therapy to Reduce HIV Transmission (PopART) community-randomized trial. METHODS AND FINDINGS: The study population was individuals aged ≥15 years living in 14 urban and peri-urban "PopART intervention" communities in Zambia and South Africa (SA), with a total population of approximately 600,000 and approximately 15% adult HIV prevalence. Community HIV care providers (CHiPs) delivered the PopART intervention during 2014-2017. This was a combination HIV prevention package including universal home-based HIV testing, referral of HIV-positive individuals to government HIV clinic services that offered universal ART (Arm A) or ART according to national guidelines (Arm B), and revisits to HIV-positive individuals to support linkage to HIV care and retention on ART. The intervention was delivered in 3 "rounds," each about 15 months long, during which CHiPs visited all households and aimed to contact all individuals aged ≥15 years at least once. In Arm A in Round 3 (R3), 67% (41,332/61,402) of men and 86% (56,345/65,896) of women in Zambia and 56% (17,813/32,095) of men and 71% (24,461/34,514) of women in SA participated in the intervention, among 193,907 residents aged ≥15 years. Following participation, HIV status was known by 90% of men and women in Zambia and by 78% of men and 85% of women in SA. The median time from CHiP referral of HIV-positive individuals to ART initiation was approximately 3 months. By the end of R3, an estimated 95% of HIV-positive women and 85% of HIV-positive men knew their HIV status, and among these individuals, approximately 90% of women and approximately 85% of men were on ART. ART coverage among all HIV-positive individuals was approximately 85% in women and approximately 75% in men, up from about 45% at the start of the study. ART coverage was lowest among men aged 18 to 34 and women aged 15 to 24 years, and among mobile individuals/in-migrants. Findings from Arm B were similar. The main limitations to our study were that estimates of testing and treatment coverage among men relied on considerable extrapolation because, in each round, approximately one-third of men did not participate in the PopART intervention; that our findings are for a service delivery model that was relatively intensive; and that we did not have comparable data from the 7 "standard-of-care" (Arm C) communities. CONCLUSIONS: Our study showed that very high HIV testing and treatment coverage can be achieved through persistent delivery of universal testing, facilitated linkage to HIV care, and universal treatment services. The ART coverage target of 81% was achieved overall, after 4 years of delivery of the PopART intervention, though important gaps remained among men and young people. Our findings are consistent with previously reported findings from southern and east Africa, extending their generalisability to urban settings with high rates of in-migration and mobility and to Zambia and SA. TRIAL REGISTRATION: ClinicalTrials.gov NCT01900977.

Trend analysis of lung cancer mortality and years of life lost (YLL) rate from 1999 to 2016 in Tianjin, China: Does the lung cancer burden in rural areas exceed that of urban areas?

BACKGROUND: The aim of this study was to examine the trends in the mortality rate and years of life lost (YLL) rate of lung cancer in Tianjin, China, during the period from 1999 to 2016. METHODS: Lung cancer death data were obtained from Tianjin residents' all-cause death monitoring system, which covers the whole population of Tianjin. Crude mortality rate, age-standardized mortality rate, truncated rate (35-64 years), YLL and age-standardized YLL rate data were calculated and trends examined. RESULTS: From 1999 to 2016, a total of 93 358 lung cancer deaths were reported in Tianjin, which accounted for 38.0% of all cancer deaths (93 358/245744). The crude mortality rate of lung cancer had increased 58.5% from 1999 (40.15/100000) to 2016 (63.64/100000), average annual percent change (AACP) = 2.9%, P < 0.01. However, the age-standard YLL rate had decreased to 13.3% in 2016 than in 1999, AACP = -0.8%, P < 0.01, with a stable trend in males (AACP = -0.2%), and noticeable decreasing trend in females (AACP = -1.4%). The lung cancer mortality rate (ASRW) in urban areas was higher than that in rural areas in 1999, with a ratio of 1.99:1. However, it was lower in 2016, with the ratio of 0.98:1. For the truncated rate (35-64 years), it had decreased in urban areas compared with rural areas since the year 2013. CONCLUSION: Lung cancer remains the most fatal cancer in Tianjin. However, the age-standard YLL rate of lung cancer has decreased considerably accompanied by a decline in smoking rate years ago, especially in women and people living in urban areas. Considerable attention is therefore needed in the rural areas where cases of lung cancer are still rapidly increasing.

Tobacco Use Among Rural and Urban US Middle and High School Students: National Youth Tobacco Survey, 2011-2016.

PURPOSE: Rural adolescents engage in higher smoking and smokeless tobacco use rates than those from urban communities; urban adolescents are more likely to use e-cigarettes. The study investigated whether place of residence (rural vs urban) is associated with tobacco use prevalence and change in prevalence among middle and high school students over time. METHODS: We analyzed data from the National Youth Tobacco Survey (2011-2016). Multiple logistic regression methods for weighted survey data assessed the relationship of place of residence with current tobacco product use over time, adjusting for demographics. FINDINGS: There was no difference in rate of change in use of any tobacco product between rural and urban middle or high school students. Adjusting for age, sex, race/ethnicity, and survey year, both middle and high school rural students were more likely to use cigarettes and smokeless tobacco, whereas urban high school students were more likely to use hookah. Significant polynomial trends were observed for e-cigarette and hookah use patterns, whereas linear changes in use patterns were detected for cigarette and smokeless tobacco use over time. CONCLUSIONS: Rural high school students are more likely to smoke cigarettes and use smokeless tobacco than their urban counterparts, although prevalence rates have decreased over time. However, use of hookah and e-cigarettes among middle and high school students has increased over time regardless of place of residence. To stem the rapid increase in use of hookah and e-cigarettes, comprehensive tobacco control policies are needed regardless of rural or urban location.

The trends of mortality and years of life lost of cancers in urban and rural areas in China, 1990-2017.

BACKGROUND: With the rapid development of the socioeconomic status, the mortality of several cancers has been changed in China during the past 30 years. We aimed to estimate the trends of mortality and years of life lost (YLLs) of various cancers in urban and rural areas of China from 1990 to 2017. METHODS: The mortality data were collected from Chinese yearbooks and the age structure of population from the Chinese sixth population census were used as reference to calculate age-standardized mortality rates (ASMRs) and YLLs rates. Joinpoint regression analysis was implemented to calculate the annual percent change (APC) of mortality rates and YLL rates for cancers. YLLs owing to premature death were calculated as age-specific cancer deaths multiplied by the reference life expectancy at birth of 80 years for male and 82.5 years for female. RESULTS: The ASMRs of all cancers showed significant decreasing trends for urban residents from 1990 to 2017, such downward trend without significance was also observed among rural residents. Interestingly, ASMRs of lung cancer and breast cancer have raised continuously in rural areas since 1990. The age-standardized YYL rates for urban and rural residents decreased with 1.02% and 0.85% per year, respectively. YLLs in rural areas were higher than those in urban areas, whereas YLLs of urban outstripped those of rural finally with the increasing in YLLs of urban areas (216.71% for men and 207.87% for women). CONCLUSION: The ASMRs and YLL rates of all cancers have declined in urban and rural areas from 1990 to 2017. YLLs increased in urban areas and remained higher level in rural areas after 2014 year. Preventive measures should be strengthened to against cancer, especially for lung cancer.

Asentamientos precarios en la Ciudad Autónoma de Buenos Aires: Apuntes para una revisión de los conceptos de villa, asentamiento y núcleo habitacional transitorio en el marco de la producción estadística / Precarious settlements in Buenos Aires City: Notes for a review of the concepts of villa, settlement and transient housing nucleus in the framework of statistical production

El presente informe documenta las tareas realizadas por la Dirección General de Estadística y Censos del Gobierno de la Ciudad de Buenos Aires (DGEyC-GCBA), en el marco del Programa de Estudios de Pobreza del Instituto Nacional de Estadística y Censos (INDEC), para contribuir a la definición conceptual y operativa de los asentamientos irregulares o precarios (y su tipología) en la Ciudad de Buenos Aires. Las definiciones son el paso necesario que permite identificar estas áreas de la Cuidad, por lo tanto, resultan esenciales tanto para las tareas pre-censales (en perspectiva del próximo Censo de Población, Hogares y Viviendas de 2020) como para la explotación de los datos. En la primera parte se presenta una reseña histórica, en la que se describe el proceso de conformación y evolución de los asentamientos precarios (villas, asentamientos y Núcleos Habitacionales Transitorios) en la Ciudad de Buenos Aires, haciendo eje en los aspectos demográficos y sociopolíticos que lo marcaron, y se presenta una imagen de la situación actual de dichas áreas, detallando los cambios en marcha. En un segundo apartado, se analizan las definiciones vigentes, tanto conceptuales como operativas, utilizadas tanto por la DGEyC, como por organismos públicos del GCBA, y por organismos nacionales, provinciales y la academia. A la vez, se presentan los criterios operativos empleados por la DGEyC en las tareas pre-censales y en el procesamiento de la información del Censo 2010 en las áreas con asentamientos precarios. Finalmente, a partir de la información disponible (con datos del Censo 2010), se analizan los indicadores sociodemográficos que intervienen en las definiciones relevadas con el propósito de encontrar regularidades en cada uno de los tipos de asentamientos precarios analizados. (AU)

Changes in urban and rural cigarette smoking and cannabis use from 2007 to 2017 in adults in the United States.

INTRODUCTION: Rural-urban differences in cigarette and cannabis use have traditionally shown higher levels of cigarette smoking in rural areas and of cannabis use in urban areas. To assess for changes in this pattern of use, we examined trends and prevalence of cigarette, cannabis, and co-use across urban-rural localities. METHODS: Urban-rural trends in current cigarette and/or cannabis use was evaluated using 11 cohorts (2007-2017) of the National Survey on Drug Use and Health (NSDUH; N = 397,542). We used logistic regressions to model cigarette and cannabis use over time, adjusting for demographics (age, gender, race/ethnicity, income, education), in addition to assessing patterns of cannabis use among cigarette smokers and nonsmokers. RESULTS: Despite decreases in cigarette smoking overall, between 2007 and 2017, the urban-rural disparity in cigarette smoking increased (AOR = 1.17), with less reduction in rural as compared to urban cigarette smokers. Cannabis use increased in general (AOR = 1.88 by 2017), with greater odds in urban than rural regions. Cannabis use increased more rapidly in non-cigarette smokers than smokers (AOR = 1.37 by 2017), with 219% greater odds of cannabis use in rural non-cigarette smokers in 2017 versus 2007. CONCLUSIONS: Rurality remains an important risk factor for cigarette smoking in adults and the fastest-growing group of cannabis users is rural non-cigarette smokers; however, cannabis use is currently still more prevalent in urban areas. Improved reach and access to empirically-supported prevention and treatment, especially in rural areas, along with dissemination and enforcement of policy-level regulations, may mitigate disparities in cigarette use and slow the increase in rural cannabis use.

Stable prevalence of chronic back disorders across gender, age, residence, and physical activity in Canadian adults from 2007 to 2014.

BACKGROUND: Chronic back disorders (CBD) are a global health problem and the leading cause of years lived with disability. The present study aims to examine overall and specific trends in CBD in the Canadian population aged 18 to 65 years. METHODS: Data from the Canadian Community Health Survey (CCHS), a cross-sectional study, from 2007 to 2014 (8 cycles) were used to calculate CBD prevalence across gender, age, geographical area (urban/rural and ten provinces and northern territories), and physical activity levels. CBD was defined in the CCHS as having back problems, excluding fibromyalgia and arthritis, which have lasted or are expected to last six months or more and that have been diagnosed by a health professional. Prevalence of CBD using survey weights and associated 95% confidence intervals (95% CI) were calculated yearly using balanced repeated replications technique. Trend tests were calculated using joinpoint regressions; ArcGIS software was used for mapping. RESULTS: Age-standardized CBD prevalence in 2007 and 2014 were 18.9% (95% CI = 18.4;19.5) and 17.8% (95% CI = 17.2,18.4), respectively. CBD prevalence was consistently higher in women, older age groups, rural dwellers, and people classified as inactive. Crude and age-standardized CBD prevalence decreased faster in people classified as physically active compared to those who were inactive (p < 0.006). Although CBD slightly decreased over time, no statistically significant trends were found overall or by gender, area of residence, province or level of physical activity. The prevalence of CBD remained consistently high in the province of Nova Scotia, and consistently low in the province of Quebec over the eight CCHS cycles. CONCLUSION: Despite prevention efforts, such as the Canadian back pain mass media campaign, CBD prevalence has remained stable between 2007 and 2014. Tailored prevention and management of CBD should consider gender, age, and geographical differences. Further longitudinal studies could elucidate the temporal relationship between potentially modifiable risk factors such as physical activity and CBD.

High School Physical Activity and Nutrition Policy: Summarizing Changes Over Time Using Latent Class Analysis.

INTRODUCTION: High school physical activity and nutrition policies can substantially affect student behavior and outcomes. Although public health officials and legislators have advocated for policy improvements, the extent to which policies have changed at local levels is not well understood. This study identifies latent classes of physical activity and nutrition policy environments and explores changes in prevalence of these classes from 2000 to 2016. METHODS: Data from the School Health Policies and Practices Study, a repeated cross-sectional survey from the Centers for Disease Control and Prevention administered at the school district level in 2000, 2006, 2012, and 2016, were analyzed in 2018. Using latent class analysis, policy environment subgroups were identified, described, and then dichotomized based on satisfaction in meeting recommendations. Associations of latent classes with year and urbanicity were evaluated using logistic regression. RESULTS: Five latent classes were identified each for physical activity and nutrition policy environments, all with distinct characteristics. Physical activity policies improved from 2000 to 2006 (p<0.001) and then plateaued until 2016, whereas nutrition policies improved consistently from 2000 to 2016 (p<0.001, p=0.011, p<0.001). Though significant disparities between urban and rural school districts were found, these disparities narrowed during the studied years, particularly for physical activity policies. CONCLUSIONS: The estimated proportion of school districts with satisfactory physical activity and nutrition policy environments increased from 2000 to 2016, possibly because of legislative and policy advocacy efforts. However, many areas for improvement remain. Unsatisfactory latent classes that remained prevalent though 2016 may highlight policy domains that should be targeted by future interventions or subject to further research.

Urban and rural differences in geographical accessibility to inpatient palliative and end-of-life (PEoLC) facilities and place of death: a national population-based study in England, UK.

BACKGROUND: Little is known about the role of geographic access to inpatient palliative and end of life care (PEoLC) facilities in place of death and how geographic access varies by settlement (urban and rural). This study aims to fill this evidence gap. METHODS: Individual-level death data in 2014 (N = 430,467, aged 25 +) were extracted from the Office for National Statistics (ONS) death registry and linked to the ONS postcode directory file to derive settlement of the deceased. Drive times from patients' place of residence to nearest inpatient PEoLC facilities were used as a proxy estimate of geographic access. A modified Poisson regression was used to examine the association between geographic access to PEoLC facilities and place of death, adjusting for patients' socio-demographic and clinical characteristics. Two models were developed to evaluate the association between geographic access to inpatient PEoLC facilities and place of death. Model 1 compared access to hospice, for hospice deaths versus home deaths, and Model 2 compared access to hospitals, for hospital deaths versus home deaths. The magnitude of association was measured using adjusted prevalence ratios (APRs). RESULTS: We found an inverse association between drive time to hospice and hospice deaths (Model 1), with a dose-response relationship. Patients who lived more than 10 min away from inpatient PEoLC facilities in rural areas (Model 1: APR range 0.49-0.80; Model 2: APR range 0.79-0.98) and urban areas (Model 1: APR range 0.50-0.83; Model 2: APR range 0.98-0.99) were less likely to die there, compared to those who lived closer (i.e. ≤ 10 min drive time). The effects were larger in rural areas compared to urban areas. CONCLUSION: Geographic access to inpatient PEoLC facilities is associated with where people die, with a stronger association seen for patients who lived in rural areas. The findings highlight the need for the formulation of end of life care policies/strategies that consider differences in settlements types. Findings should feed into local end of life policies and strategies of both developed and developing countries to improve equity in health care delivery for those approaching the end of life.

Prescription opioid misuse among African-American adults: A rural-urban comparison of prevalence and risk.

BACKGROUND: Prescription opioid misuse (POM) remains a public health concern in the United States. Although the problem has been studied extensively, little research attention is paid to POM among African-Americans (AAs), and even fewer studies consider rural status in their analysis. The goal of this study, therefore, was to identify and compare prevalence and predictors of POM among rural and urban AA adults using data from a nationally representative sample. METHODS: Using pooled data across five years (2012-2016) of the National Survey on Drug Use and Health, multivariate logistic regression models were estimated to determine which factors were associated with POM among AA adults. RESULTS: Findings show that urban and rural AAs have comparable prevalence rates of POM, which is somewhat surprising given that POM often varies based on rural status. A number of factors (e.g., receiving government assistance, religiosity, smoking tobacco or marijuana, misuse of other prescription medications) were significantly correlated with POM for urban and rural AAs, while others (e.g., being age 50+, graduating high school, visiting an emergency department, being arrested, binge drinking) varied by rural status. CONCLUSION: Results indicate that AA nonmedical prescription opioid users are not a monolith and have distinct demographic, clinical, and psychosocial profiles based on geographic region. Because AAs have been virtually ignored in the POM literature, our findings are an important step towards understanding POM among this understudied group. These results invite additional investigation into AA POM and encourage researchers to consider rural status in their analysis of POM among AAs.

Rural and Urban Differences in the Adoption of New Health Information and Medical Technologies.

BACKGROUND: This statewide survey sought to understand the adoption level of new health information and medical technologies, and whether these patterns differed between urban and rural populations. METHODS: A random sample of 7,979 people aged 18-75 years, stratified by rural status and race, who lived in 1 of 34 Indiana counties with high cancer mortality rates and were seen at least once in the past year in a statewide health system were surveyed. RESULTS: Completed surveys were returned by 970 participants. Rural patients were less likely than urban to use electronic health record messaging systems (28.3% vs 34.5%, P = .045) or any communication technology (43.0% vs 50.8%, P = .017). Rural patients were less likely to look for personal health information for someone else's medical record (11.0% vs 16.3%, P = .022), look-up test results (29.5% vs 38.3%, P = .005), or use any form of electronic medical record (EMR) access (57.5% vs 67.1%, P = .003). Rural differences in any use of communication technology or EMRs were no longer significant in adjusted models, while education and income were significantly associated. There was a trend in the higher use of low-dose computed tomography (CT) scan among rural patients (19.1% vs 14.4%, P = .057). No significant difference was present between rural and urban patients in the use of the human papilloma virus test (27.1% vs 26.6%, P = .880). CONCLUSIONS: Differences in health information technology use between rural and urban populations may be moderated by social determinants. Lower adoption of new health information technologies (HITs) than medical technologies among rural, compared to urban, individuals may be due to lower levels of evidence supporting HITs.

Estimating Service Needs for Alcohol and Other Drug Users According to a Tiered Framework: The Case of the São Paulo, Brazil, Metropolitan Area.

OBJECTIVE: The purpose of this study was to estimate the need for population-level services for alcohol and other drug abuse in support of local planning. METHOD: Data were drawn from a subsample of 2,942 interviewees from the São Paulo Megacity Study, which evaluated mental health in the general population (18 years and older) of residents in the São Paulo metropolitan area. This population was classified into five hierarchical categories of severity, making it possible to obtain estimates of need for services, combining evaluation criteria regarding drug and alcohol use and general and mental health comorbidities over the last 12 months. For the at-risk groups in this population, estimates from the Potential Demand for the Use of Services survey interviews over the last year were generated. RESULTS: Concerning the need for services, 86.5% of the population (Tier 1) had no problems related to drug and alcohol use, 8.9% (Tier 2) used heavily, 3.5% (Tiers 3, 4, and 5) met criteria for substance abuse disorders, among whom 1.3% (Tiers 4 and 5) require more specialized and intensive treatment and support. The following estimates for the Potential Demand for the Use of Services were found: 25.5% (Tier 3) and 51.1% (Tier 4), indicating that a significant number of individuals met criteria for substance abuse disorders but did not perceive any need for professional help or neglected the help available. CONCLUSIONS: In São Paulo there exists a large sector of the population that requires prevention strategies regarding the risks and harm resulting from alcohol and drug use, followed by a group requiring more specialized care. But a large number of substance users requiring specialized support did not use services and did not believe that they needed professional help.

Nurse Comfort With Palliative and End-of-Life Communication: A Rural and Urban Comparison.

Communication is a key component of palliative and end-of-life care. Little is known about comfort with palliative and end-of-life communication among nurses working in rural and urban settings. We assessed this comparison using the 28-item (including 2 ranked items) Comfort with Communication in Palliative and End-of-Life Care instrument. Descriptive analyses of the sample (N = 252) identified statistically significant results differences for age and experience; rural nurses were older and more experienced. Urban nurses reported less comfort than did rural nurses based on composite score analysis (P = .03) and reported less comfort than did rural nurses in talking with patients and families about "end-of-life decisions" (P < .05). Overall, years of experience were significant for more comfort with end-of-life communication. Our instrument could be used within academic settings to establish baseline awareness of comfort with palliative and end-of-life communication and in institutional settings to provide a continuing education bridge from prelicensure through licensure. Moreover, experienced nurses are integral in mentoring new graduates in initiating and sustaining difficult conversations.