Sociodemographic and clinical profile of crack cocaine treatment-seeking individuals living in "Crackland", Brazil / Perfil sociodemográfico e clínico de indivíduos em busca de tratamento para o uso de crack que vivem na "Cracolândia"

OBJECTIVE: São Paulo's Crackland is the biggest and oldest open drug use scene in Brazil, yet little is known about the profile of crack cocaine treatment-seeking individuals living in this region. The aim of this crossectional study was to describe the demographics and clinical characteristics of treatment-seeking crack users living in the Crackland region. METHODS: A sample of nighty eight individuals were screened for DSM-V substance use disorders, including substance use, impulsiveness, and psychiatric symptoms. Recent crack cocaine use was also tested using biologic specimens. RESULTS: Results indicated severe social vulnerability, as participants experienced high rates of homelessness (46.9%), unstable housing (50%), unemployment (60.4%) and early school drop-out (27.5%). The average age of crack use onset was 20 years (SD = 6.9) and the mean duration of continuous crack use was 15 years (SD = 9.7). Most participants presented with concomitant mental health disorders, particularly alcohol use disorder (87.8%), as well high rates of psychiatric symptomatology and impulsiveness. More than half of the sample reported at least one previous inpatient (73.5%) and outpatient (65.3%) addiction treatment attempt. CONCLUSION: This population profile should inform mental healthcare services, promoting the provision of tailored assistance by targeting specific demands at all levels of treatment.

OBJETIVO: Localizada em São Paulo, a Cracolândia é o maior e mais antigo cenário aberto de uso de drogas do Brasil. Ainda assim, pouco se sabe sobre o perfil dos indivíduos que vivem nessa região e buscam tratamento para crack. O objetivo deste estudo transversal foi descrever características demográficas e clínicas de usuários de crack vivendo na região da Cracolândia que estão em busca de tratamento. MÉTODOS: Noventa e oito indivíduos foram avaliados para transtornos por uso de substâncias do DSM-V, padrão de uso de substâncias, impulsividade e sintomatologia psiquiátrica. O uso recente de crack também foi determinado por meio de coleta de amostras toxicológicas. RESULTADOS: Os resultados indicaram grave vulnerabilidade social, com significativas prevalências de falta de moradia (46,9%), moradia instável (50%), desemprego (60,4%) e abandono escolar precoce (27,5%). A idade média de início do uso de crack foi de 20 anos (DP = 6,9) e a duração média do uso contínuo do crack foi de 15 anos (DP = 9,7). A maioria dos participantes apresentou alguma comorbidade psiquiátrica, particularmente transtorno por uso de álcool (87,8%), bem como altas taxas de sintomatologia psiquiátrica e impulsividade. Mais da metade da amostra relatou pelo menos uma tentativa anterior de tratamento por internação (73,5%) e ambulatorial (65,3%). CONCLUSÃO: Os achados desse estudo permitem um maior entendimento do perfil e das necessidades de usuários de crack vivendo na região da Cracolândia e podem ajudar serviços de saúde especializados em dependência química a promoverem uma assistência mais direcionada às demandas específicas dessa população.

Spirometric Response to Bronchodilator and Eucapnic Voluntary Hyperpnea in Adults With Asthma.

BACKGROUND: The spirometric response to fast-acting bronchodilator is used clinically to diagnose asthma and in clinical research to verify its presence. However, bronchodilator responsiveness does not correlate with airway hyper-responsiveness measured with the direct-acting stimulus of methacholine, demonstrating that bronchodilator responsiveness is a problematic method for diagnosing asthma. The relationship between bronchodilator responsiveness and airway hyper-responsiveness assessed with indirect-acting stimuli is not known. METHODS: Retrospectively, the spirometric responses to inhaled bronchodilator and a eucapnic voluntary hyperpnea challenge (EVH) were compared in 39 non-smoking adult subjects with asthma (26 male, 13 female; mean ± SD age 26.9 ± 7.8 y; mean ± SD body mass index 26.3 ± 4.7 kg/m2). All subjects met one or both of 2 criteria: ≥ 12% and 200 mL increase in FEV1 after inhaled bronchodilator, and ≥ 10% decrease in FEV1 after an EVH challenge. RESULTS: Overall, FEV1 increased by 9.9 ± 7.9% after bronchodilator (3.93 ± 0.97 to 4.28 ± 0.91 L, P < .001) and decreased by 23.9 ± 15.0% after the EVH challenge (3.89 ± 0.89 to 2.96 ± 0.88 L, P < .001). However, the change in FEV1 after bronchodilator did not correlate with the change after EVH challenge (r = 0.062, P = .71). Significant bronchodilator responsiveness predicted a positive response to EVH challenge in 9 of 33 subjects (sensitivity 27%). Following EVH, the change in FEV1 strongly correlated with the change in FVC (FEV1 percent change vs FVC percent change, r = 0.831, P < .001; FEV1 ΔL vs FVC ΔL, r = 0.799, P < .001). CONCLUSIONS: These results extend previous findings that demonstrate a lack of association between bronchodilator responsiveness and methacholine responsiveness. Given the poor concordance between the spirometric response to fast-acting bronchodilator and the EVH challenge, these findings suggest that the airway response to inhaled ß2-agonist must be interpreted with caution and in the context of its determinants and limitations.

Dentists' attitudes towards chairside medical conditions screening in a dental setting in Saudi Arabia: an exploratory cross-sectional Study.

BACKGROUND: Screening for medical conditions (MCs) of public health importance is a first step in disease prevention and control. Prior studies in the United States found oral health care providers (OHCPS) embrace screening for increased risk of medical conditions in the dental setting. Our objectives were to assess Saudi Arabian (SA) dentist's attitudes, willingness and perceived barriers towards implementing screening for MCs into their dental practices. METHODS: A self-administered, 5-point Likert Scale (1 = very important/willing to 5 = very unimportant/unwilling) questionnaire was given to a convenience sample of 190 practicing dentists. Friedman nonparametric analysis of variance was used to compare responses within each question. RESULTS: Of the 143 responding dentists the mean age was 31 years; 102 (71%) were men. The majority felt it was important for a dentist to screen for cardiovascular disease (98.6%), hypertension (97.9%), diabetes (97.9%), human immunodeficiency virus (HIV) (97.9%), and hepatitis C virus (98.6%). Respondents were willing to refer a patient to a physician (97.9%); send samples to an outside laboratory (96.1%); conduct screening that yields immediate results (96.2%); and discuss results immediately with the patient (93.7%). Respondents were willing to measure/collect blood pressure (67.2%); weight and height (63.7%); and finger stick blood (54.6%). The whole responding dentists (100%) reported time as an important barrier. Respondents were significantly more willing to refer a patient for consultation than send samples to an outside laboratory (mean ranks: 2.32, 2.81, P < 0.001); significantly more willing to measure blood pressure than take oral fluids for salivary diagnostics (mean ranks 2.22, 2.75, p = 0.003). Insurance was significantly (P < 0.05) less important barrier than time, cost, patients' willingness or liability (mean ranks 3.56, 2.63, 3.00, 2.79, 3.02, respectively). CONCLUSIONS: The majority of dentists in this study reported positive attitudes towards and willingness to perform medical screenings in their practice. Time was an important factor.

Culturally-tailored text-messaging intervention for smoking cessation in rural American Indian communities: Rationale, design, and methods.

BACKGROUND: American Indian (AI) and Alaska Native (AN) communities experience disproportionately high rates of tobacco use when compared to the overall U.S. population, especially among rural populations. METHODS: We implemented a single-blind, randomized clinical trial of a text messaging-based smoking cessation intervention through the tobacco quitlines of five states (Alaska, Minnesota, New Mexico, Oklahoma, and Wisconsin) with high percentages of AI residents. We partnered with state quitlines and Optum, a multi-state entity that manages quitlines. Participants who called the quitlines and identified as AI/AN were given the option to enroll in this trial. Upon consent, they were randomly assigned to either the standard quitline program (control) or a program culturally tailored for AI/ANs (intervention), which used a text messaging intervention to encourage smoking cessation. We adapted the text messages based on key informant and focus group input. Baseline data was analyzed for differences across age, sex, and the Fagerström Test for Nicotine Dependence. RESULTS: We recruited n = 487 AIs into the trial. Participants had an average age of 41.9 years (SD = 11.7) and 66% were female. The average Fagerström Test for Nicotine Dependence score was 5.38 (SD = 2.37). The intervention and control arms did not significantly differ across any of the baseline characteristics. CONCLUSION: Implementation of this trial illustrated important lessons in adapting, implementing, and evaluating trials in collaboration with AI communities and local and national organizations. This work will inform future efforts to implement culturally-tailored interventions with AI/ANs and advance our knowledge about adapting and implementing smoking cessation interventions.

Predictors of tobacco and alcohol co-use from ages 15 to 32: The Amsterdam Growth and Health Longitudinal Study.

Tobacco and alcohol are often used in tandem over time, but specific predictors of course and patterns of course over time need explication. We examined differences in alcohol and tobacco course among an adolescent population as they transitioned into young adulthood across a 17-year period. Data came from participants (n = 303 for ages 15-21, n = 196 for ages 21 to 32; 52% female and 54% female, respectively) enrolled in the Amsterdam Growth and Health Longitudinal Study, an epidemiologic investigation examining disease across the life span. We utilized parallel latent growth modeling to assess the impact of sex, personality traits, cholesterol, blood pressure, and body mass index (BMI), on initial status and linear change over time in course of tobacco and alcohol. Females reported less alcohol use at adolescent baseline (ß = -21.79), less increase during adolescence (ß = -7.92, p < .05), slower decrease during young adulthood (ß = 4.67, p < .05), and more rapid decline in tobacco use during young adulthood (ß = -70.85, p < .05), relative to males. Alcohol and tobacco use baseline status' and change over time were all significantly associated with one another during both adolescence and young adulthood (p < .05; aside from alcohol baseline and slope during young adulthood). Effects of BMI, cholesterol, blood pressure, and personality traits were also observed on tobacco and alcohol course. In light of the strong, but sex dependent relationship between alcohol and tobacco course, particularly from ages 15 to 21, prevention efforts to curb heavy alcohol and tobacco use should consider targeting course taking into account biological sex and other notable covariates. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Pilot investigation: randomized-controlled analog trial for alcohol and tobacco smoking co-addiction using contingency management.

Contingency management (CM) is associated with decreases in off-target drug and alcohol use during primary target treatment. The primary hypothesis for this trial was that targeting alcohol use or tobacco smoking would yield increased abstinence in the opposite, nontargeted drug. We used a 2 [CM vs. noncontingent control (NC) for alcohol]×2 (CM vs. NC for smoking tobacco) factorial design, with alcohol intake (through urinary ethyl glucuronide) and tobacco smoking (through urinary cotinine) as the primary outcomes. Thirty-four heavy-drinking smokers were randomized into one of four groups, wherein they received CM, or equivalent NC reinforcement, for alcohol abstinence, smoking abstinence, both drugs, or neither drug. The CM for alcohol and tobacco group had only two participants and therefore was not included in analysis. Compared with the NC for alcohol and tobacco smoking group, both the CM for the tobacco smoking group [odds ratio (OR)=12.03; 95% confidence interval (CI): 1.50-96.31] and the CM for the alcohol group (OR=37.55; 95% CI: 4.86-290.17) submitted significantly more tobacco-abstinent urinalyses. Similarly, compared with the NC for the alcohol and tobacco group, both the CM for smoking (OR=2.57; 95% CI: 1.00-6.60) and the CM for alcohol groups (OR=3.96; 95% CI: 1.47-10.62) submitted significantly more alcohol-abstinent urinalyses. These data indicate cross-over effects of CM on indirect treatment targets. Although this is a pilot investigation, it could help to inform the design of novel treatments for alcohol and tobacco co-addiction.