Search

Objective: This prospective cohort study aimed to empirically derive phenotypes of children and adolescents with overweight and obesity. Methods: Latent class analyses using Mplus were carried out in the Growing Up Today Study. Information on participants' weight status, disordered eating behaviors, body image and weight concerns, depressive symptoms, and pubertal timing, as well as and maternal weight status, were included in the latent class analyses, which were stratified by sex. Mixed‐effects regression was used to examine associations of the obesity phenotypes with adult weight gain, between age 20 and 35 years, independent of weight at beginning of follow‐up and duration of follow‐up. Results: Among the girls, four obesity phenotypes were identified: 1) "early puberty"; 2) "mothers with obesity"; 3) "high weight concerns"; and 4) "mixed." Only three phenotypes were identified among the boys: 1) "high weight concerns"; 2) "mothers with obesity"; and 3) "mixed." Participants who had overweight or obesity in childhood or adolescence gained more weight in young adulthood than their leaner peers, but the patterns of weight gain in young adulthood varied by phenotype of obesity in childhood and adolescence. Conclusions: These results support examining risk factors for and treatment outcomes by obesity phenotypes. [ABSTRACT FROM AUTHOR]

Although parent ratings, adolescent ratings, and observations are all utilized to measure parent emotion socialization during adolescence, there is a lack of research examining measurement differences and concordance. Thus, the present study compared three measures of parent supportive and nonsupportive emotion socialization and examined whether parent and adolescent emotion dysregulation differentially related to these measures or moderated concordance across measures. Participants were a community sample of 92 adolescent‐parent dyads. Adolescents were 13–17 years‐old (M = 15.5, SD = 1.1), 41 were female and 51 were male; 87% of parents identified as mothers. Observed emotion socialization was coded during a parent‐adolescent conflict discussion task. The adolescent and parent also rated the parent's supportive and nonsupportive reactions to the adolescent's negative emotions; they each also rated their own emotion dysregulation. Due to data collection timing, COVID‐19 family stress was also assessed and explored as a covariate in analyses. Bivariate correlations indicated that there were weak and non‐significant correlations across emotion socialization measures. Multilevel models indicated that measures of parent emotion socialization were differentially associated with adolescent emotion dysregulation, with adolescent emotion dysregulation relating significantly to adolescent ratings, but not observations or parent ratings, of parent emotion socialization. In addition, multiple regressions indicated that there was less concordance across measures when parents were higher in emotion dysregulation. Results suggest that measurement may influence researchers' conclusions about how youth adjustment relates to parent emotion socialization. Additionally, there may be even lower agreement across measures of parent emotion socialization when parents have emotional challenges. [ABSTRACT FROM AUTHOR]

Text provides a compelling example of unstructured data that can be used to motivate and explore classification problems. Challenges arise regarding the representation of features of text and student linkage between text representations as character strings and identification of features that embed connections with underlying phenomena. In order to observe how students reason with text data in scenarios designed to elicit certain aspects of the domain, we employed a task‐based interview method using a structured protocol with six pairs of undergraduate students. Our goal was to shed light on students' understanding of text as data using a motivating task to classify headlines as "clickbait" or "news." Three types of features (function, content, and form) surfaced, the majority from the first scenario. Our analysis of the interviews indicates that this sequence of activities engaged the participants in thinking at both the human‐perception level and the computer‐extraction level and conceptualizing connections between them. [ABSTRACT FROM AUTHOR]

There has been heightened interest in identifying critical windows of exposure for adverse health outcomes; that is, time points during which exposures have the greatest impact on a person's health. Multiple informant models implemented using generalized estimating equations (MIM GEEs) have been applied to address this research question because they enable statistical comparisons of differences in associations across exposure windows. As interest rises in using MIMs, the feasibility and appropriateness of their application under settings of correlated exposures and partially missing exposure measurements requires further examination. We evaluated the impact of correlation between exposure measurements and missing exposure data on the power and differences in association estimated by the MIM GEE and an inverse probability weighted extension to account for informatively missing exposures. We assessed these operating characteristics under a variety of correlation structures, sample sizes, and missing data mechanisms considering various exposure‐outcome scenarios. We showed that applying MIM GEEs maintains higher power when there is a single critical window of exposure and exposure measures are not highly correlated, but may result in low power and bias under other settings. We applied these methods to a study of pregnant women living with HIV to explore differences in association between trimester‐specific viral load and infant neurodevelopment. [ABSTRACT FROM AUTHOR]

Objective: Patient reported outcomes (PROs) are important in oncology research; however, missing data can pose a threat to the validity of results. Psycho-oncology researchers should be aware of the statistical options for handling missing data robustly. One rarely used set of methods, which includes extensions for handling missing data, is generalized estimating equations (GEEs). Our objective was to demonstrate use of GEEs to analyze PROs with missing data in randomized trials with assessments at fixed time points.Methods: We introduce GEEs and show, with a worked example, how to use GEEs that account for missing data: inverse probability weighted GEEs and multiple imputation with GEE. We use data from an RCT evaluating a web-based brain training for cancer survivors reporting cognitive symptoms after chemotherapy treatment. The primary outcome for this demonstration is the binary outcome of cognitive impairment. Several methods are used, and results are compared.Results: We demonstrate that estimates can vary depending on the choice of analytical approach, with odds ratios for no cognitive impairment ranging from 2.04 to 5.74. While most of these estimates were statistically significant (P < 0.05), a few were not.Conclusions: Researchers using PROs should use statistical methods that handle missing data in a way as to result in unbiased estimates. GEE extensions are analytic options for handling dropouts in longitudinal RCTs, particularly if the outcome is not continuous. [ABSTRACT FROM AUTHOR]

Background: Depression and anxiety disorders are highly comorbid, and share significant symptom overlap. Whereas depression has been consistently associated with excess mortality, the association between anxiety and mortality is less clear. Our aim was to identify constellations of anxious and depressive symptoms and examine their associations with mortality.Method: This study considers respondents from the 1970 (n = 1203) and 1992 (n = 1402) cohorts of the Stirling County study. Symptoms of depression and anxiety were assessed using structured at-home interviews. Vital status of participants through 2011 was determined using probabilistic linkages to the Canadian Mortality Database.Results: Exploratory factor analysis yielded three correlated factors in each cohort. Items loading on each factor varied slightly between cohorts, but roughly corresponded to (1) depressive symptoms, (2) anxious symptoms, and (3) somatic symptoms. The depressive factor was associated with increased risk of mortality in both the 1970 (HR: 1.35, 95% CI: 1.12, 1.62) and 1992 (HR: 1.25, 95% CI: 1.05, 1.48) cohorts. Anxious symptoms were associated with a reduced risk of mortality in the 1992 sample (HR: 0.72; 95% CI: 0.53, 0.90). Somatic symptoms were associated with a reduced risk of mortality in the 1970 sample (HR: 0.83, 95% CI: 0.69, 0.99), but an elevated risk of mortality in the 1992 sample (HR: 1.29; 95% CI: 1.11, 1.51).Conclusions: This study provides evidence that symptoms of depression and anxiety may have differential associations with early mortality. Somatic symptoms such as upset stomach and loss of appetite may be protective against mortality, perhaps through increased use of health care services. Conversely, symptoms such as weakness and cold sweats may be indicative of failing health. [ABSTRACT FROM AUTHOR]

Background The comorbidity of purging behaviours, such as vomiting, inappropriate use of laxatives, diuretics or slimming medications, has been examined in literature. However, most studies do not include adolescents, individuals who purge in the absence of binge eating, or those purging at subclinical frequency. This study examines the prevalence of purging among 16-year-old girls across three countries and their association with substance use and psychological comorbidity. Methods Data were obtained by questionnaire in 3 population-based cohorts (Avon Longitudinal Study of Parents and Children ( ALSPAC), United Kingdom, n = 1,608; Growing Up Today Study ( GUTS), USA, n = 3,504; North Finland Birth Cohort ( NFBC85/86), Finland, n = 2,306). Multivariate logistic regressions were employed to estimate associations between purging and outcomes. Four models were fit adjusting for binge eating and potential confounders of these associations. Results In ALSPAC, 9.7% of girls reported purging in the 12-months prior to assessment, 7.3% in GUTS, and 3.5% in NFBC. In all 3 cohorts, purging was associated with adverse outcomes such as binge drinking ( ALSPAC: odds ratio ( OR) = 2.0, 95% confidence interval ( CI) = 1.4-2.9; GUTS: OR = 2.5, 95% CI = 1.5-4.0; NFBC: OR = 1.7, 95% CI = 1.0-2.8), drug use ( ALSPAC: OR = 2.9, 95% CI = 1.8-4.7; GUTS: OR = 4.5, 95% CI = 2.8-7.3; NFBC: OR = 4.1, 95% CI = 2.6-6.6), depressive symptoms in ALSPAC ( OR = 2.2, 95% CI = 1.5-3.1) and GUTS( OR = 3.7, 95% CI = 2.2-6.3), and several psychopathology measures including clinical anxiety/depression in NFBC ( OR = 11.2, 95% CI = 3.9, 31.7). Conclusions Results show a higher prevalence of purging behaviours among girls in the United Kingdom compared to those in the United States and Finland. Our findings support evidence highlighting that purging in adolescence is associated with negative outcomes, independent of its frequency and binge eating. [ABSTRACT FROM AUTHOR]

ABSTRACT Objectives The current standards for classifying eating disorders were primarily informed by adult, clinical study populations, while it is unknown whether an empirically based classification system can be supported across preadolescence through young adulthood. Using latent class analyses, we sought to empirically classify disordered eating in females from preadolescence to young adulthood, and assess the association between classes and adverse outcomes. Method Latent class models were fit using observations from the 9,039 girls participating in the growing up today study, an on-going cohort following participants annually or biennially since 1996 when they were ages 9-14 years. Associations between classes and drug use, binge drinking, and depressive symptoms were assessed using generalized estimating equations. Results Across age groups, there was evidence of six classes: a large asymptomatic class, a class characterized by shape/weight concerns, a class characterized by overeating without loss of control, and three resembling full and subthreshold binge eating disorder, purging disorder, and bulimia nervosa. Relative prevalences of classes varied across developmental stages, with symptomatic classes increasing in prevalence with increasing age. Symptomatic classes were associated with concurrent and incident drug use, binge drinking, and high depressive symptoms. Discussion A classification system resembling broader definitions of DSM-5 diagnoses along with two further subclinical symptomatic classes may be a useful framework for studying disordered eating among adolescent and young adult females. © 2014 Wiley Periodicals, Inc. Int (J Eat Disord 2014; 47:762-772) [ABSTRACT FROM AUTHOR]

ABSTRACT Objectives Studies of adolescent psychiatric disorders often collect information from adolescents and parents, yet most eating disorder epidemiologic studies only rely on adolescent report. Method We studied the eating disorder symptom reports, from questionnaires sent at participants' ages 14 and 16 years, provided by 7,968 adolescents from the Avon Longitudinal Study of Parents and Children (ALSPAC), and their parents. Adolescents and parents were asked questions about the adolescent's eating disorder symptoms (binge eating, vomiting, laxative use, fasting, and thinness). We assessed cross-sectional concordance and prevalence using kappa coefficients and generalized estimating equations. Generalized estimating equations were used to assess prospective associations between symptom reports and adolescent weight outcomes measured at a face-to-face assessment at 17.5 years. Results Parents and adolescents were largely discordant on symptom reports cross-sectionally (kappas < 0.3), with the parent generally less likely to report bulimic symptoms than the adolescent but more likely to report thinness. Female adolescents were more likely to report bulimic symptoms than males (e.g., two to four times more likely to report binge eating), while prevalence estimates according to parent reports of female vs. male adolescents were similar. Both informants' symptom reports were predictive of body mass and composition measures at 17.5 years; compared to adolescent report, parentally reported binge eating was more strongly predictive of body mass index. Discussion Parent report of eating disorder symptoms seemed to measure different, but potentially important, aspects of these symptoms during adolescence. Epidemiologic eating disorder studies should consider the potential value added from incorporating parental reports, particularly in studies of males. © 2014 Wiley Periodicals, Inc. (Int J Eat Disord 2014; 47:475-482) [ABSTRACT FROM AUTHOR]

We examined financial knowledge among educated women with at least a bachelor's degree by analyzing the results from a 2009 survey representing a well-defined sample (N =4,344) of alumnae from a highly selective liberal arts college for women. This study found modest levels of financial knowledge with wide variation. Specifically, in the sample of alumnae, respondents in an older cohort, with higher household income, and those who obtained an MBA degree exhibit higher levels of financial knowledge. These results highlighted the need for effective financial education for many college-educated women. [ABSTRACT FROM AUTHOR]

Aims Like many indigenous peoples, New Zealand Māori bear a heavy burden of alcohol-related harm relative to their non-indigenous compatriots, and disparities are greatest among young adults. We tested the effectiveness of web-based alcohol screening and brief intervention (e- SBI) for reducing hazardous drinking among Māori university students. Design Parallel, double-blind, multi-site, randomized controlled trial. Setting Seven of New Zealand's eight universities. Participants In April 2010, we sent e-mail invitations to all 6697 17-24-year-old Māori students to complete a brief web questionnaire including the Alcohol Use Disorders Identification Test ( AUDIT)- C, a screening tool for hazardous and harmful drinking. Those screening positive were computer randomized to: <10 minutes of web-based alcohol assessment and personalized feedback (intervention) or screening alone (control). Measurements We conducted a fully automated 5-month follow-up assessment with observers and participants blinded to study hypotheses, design and intervention delivery. Pre-determined primary outcomes were: (i) frequency of drinking, (ii) amount consumed per typical drinking occasion, (iii) overall volume of alcohol consumed and (iv) academic problems. Findings Of the participants, 1789 were hazardous or harmful drinkers ( AUDIT- C ≥ 4) and were randomized: 850 to control, 939 to intervention. Follow-up assessments were completed by 682 controls (80%) and 733 intervention group members (78%). Relative to controls, participants receiving intervention drank less often [ RR = 0.89; 95% confidence interval (CI): 0.82-0.97], less per drinking occasion ( RR = 0.92; 95% CI: 0.84-1.00), less overall ( RR = 0.78; 95% CI: 0.69-0.89) and had fewer academic problems ( RR = 0.81; 95% CI: 0.69-0.95). Conclusions Web-based screening and brief intervention reduced hazardous and harmful drinking among non-help-seeking Māori students in a large-scale pragmatic trial. The study has wider implications for behavioural intervention in the important but neglected area of indigenous health. [ABSTRACT FROM AUTHOR]

In clinical trials multiple outcomes are often used to assess treatment interventions. This paper presents an evaluation of likelihood-based methods for jointly testing treatment effects in clinical trials with multiple continuous outcomes. Specifically, we compare the power of joint tests of treatment effects obtained from joint models for the multiple outcomes with univariate tests based on modeling the outcomes separately. We also consider the power and bias of tests when data are missing, a common feature of many trials, especially in psychiatry. Our results suggest that joint tests capitalize on the correlation of multiple outcomes and are more powerful than standard univariate methods, especially when outcomes are missing completely at random. When outcomes are missing at random, test procedures based on correctly specified joint models are unbiased, while standard univariate procedures are not. Results of a simulation study are reported, and the methods are illustrated in an example from the Clinical Antipsychotic Trials of Intervention Effectiveness for schizophrenia. Copyright © 2011 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

Aims To study the association between measured or perceived overweight in adolescence and subsequent uptake of cigarette smoking and of the Swedish smokeless tobacco ‘snus’ (oral moist snuff). Design Population-based prospective cohort study with 7 years' follow-up. Setting Self-administered questionnaires and school nurses' visits. Participants A total of 2922 children of both sexes and mean age 11.6 years at recruitment, resident in the Stockholm region, Sweden. Measurements Tobacco use was self-reported at baseline and on six subsequent surveys. Subjects' height and weight were measured by school nurses during the first 4 years, self-reported thereafter. Overweight perception was self-reported at the age of 15 years. Findings Overweight and perception of overweight were not associated with subsequent uptake of either smoking or snus among males. Among females, overweight at baseline was associated with uptake of smoking [adjusted hazard ratio (HR) 1.34, 95% confidence interval (CI) 1.09–1.63], but not of snus. A similar pattern was found with overweight status during follow-up. Among girls with low-educated parents, overweight at baseline predicted the uptake of both snus and smoking. Among 15-year-old females who never used tobacco perceived overweight was associated with subsequent uptake of smoking (adjusted HR 1.71, 95% CI 1.20–2.46), but not of snus. Conclusions In Sweden, adolescent girls with actual or perceived overweight are at increased risk to start smoking, while indications that this increased risk applies to smokeless tobacco (snus) are limited to girls of low socio-economic status. [ABSTRACT FROM AUTHOR]

Studies pertaining to childhood psychopathology often incorporate information from multiple sources (or informants). For example, measurement of some factor of particular interest might be collected from parents, teachers as well as the children being studied. We propose a latent variable modeling framework to incorporate multiple informant predictor data. Several related models are presented, and likelihood ratio tests are introduced to formally compare fit. The incorporation of partially observed subjects is addressed under a variety of missing data mechanisms. The methods are motivated by and applied to a study of the association of chronic exposure to violence on asthma in children. Copyright © 2008 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

Background: Assessing readiness to change is recommended as part of brief interventions for patients with unhealthy alcohol use. However, the utility and predictive validity of readiness measures have not been well established. Methods: In a prospective cohort study, we assessed primary care patients with unhealthy alcohol use (past-month drinking of risky amounts, or any amount and an affirmative response to CAGE alcohol screening questionnaire) and reassessed them 6 months later. At study entry, we assessed readiness to change using 1 multi-item measure of stage of change, and 5 single-item measures (readiness per se, importance of changing, confidence in ability to change, intention to cut down, intention to abstain). Outcomes included alcohol consumption and alcohol-related consequences. Multivariable regression models were fit for each measure of readiness and each outcome. Results: Of 312 patients with unhealthy alcohol use, 228 (73%) were assessed at study entry and 6 months later and had complete data. Among readiness measures, only confidence and intention to abstain (1 point changes on single-item measures) were associated with consumption 6 months later: less heavy episodic drinking [adjusted odds ratio (AOR) 0.88, 95% CI 0.80–0.98 and AOR 0.79, 0.64–0.98, respectively], and less drinking of risky amounts (AOR 0.89, 0.79–1.00 and AOR 0.78, 0.62–0.98, respectively). Intention to abstain was also associated with more abstinence (AOR 1.43, 1.09–1.88). Single-item measures of readiness, importance, and intention to cut down were significantly associated with higher odds of alcohol consequences. Greater confidence (single item) was associated with a lower odds of any consequences (AOR 0.88, 0.79–0.98). Conclusions: Greater readiness, as measured by several brief assessments, was associated with more consequences and was not predictive of consumption. However, assessing confidence in the ability to change one's alcohol use may have a role in predicting subsequent decreases in both consumption and consequences in primary care patients. [ABSTRACT FROM AUTHOR]

Multiple informant data refers to information obtained from different individuals or sources used to measure the same construct; for example, researchers might collect information regarding child psychopathology from the child's teacher and the child's parent. Frequently, studies with multiple informants have incomplete observations; in some cases the missingness of informants is substantial. We introduce a Maximum Likelihood (ML) technique to fit models with multiple informants as predictors that permits missingness in the predictors as well as the response. We provide closed form solutions when possible and analytically compare the ML technique to the existing Generalized Estimating Equations (GEE) approach. We demonstrate that the ML approach can be used to compare the effect of the informants on response without standardizing the data. Simulations incorporating missingness show that ML is more efficient than the existing GEE method. In the presence of MCAR missing data, we find through a simulation study that the ML approach is robust to a relatively extreme departure from the normality assumption. We implement both methods in a study investigating the association between physical activity and obesity with activity measured using multiple informants (children and their mothers). [ABSTRACT FROM AUTHOR]

To assess whether receipt of primary medical care can lead to improved outcomes for adults with addictions.We studied a prospective cohort of adults enrolled in a randomized trial to improve linkage with primary medical care.Subjects at a residential detoxification unit with alcohol, heroin or cocaine as a substance of choice, and no primary medical care were enrolled. Receipt of primary medical care was assessed over 2 years. Outcomes included (1) alcohol severity, (2) drug severity and (3) any substance use.For the 391 subjects, receipt of primary care (≥2 visits) was associated with a lower odds of drug use or alcohol intoxication (adjusted odds ratio (AOR) 0.45, 95% confidence interval (CI) 0.29–0.69, 2 d.f.χ2 P = 0.002). For 248 subjects with alcohol as a substance of choice, alcohol severity was lower in those who received primary care[predicted mean Addiction Severity Index (ASI) alcohol scores for those reporting≥ 2, 1 and 0 visits, respectively, 0.30, 0.26 and 0.34,P = 0.04]. For 300 subjects with heroin or cocaine as a substance of choice, drug severity was lower in those who received primary care (predicted mean ASI drug scores for those reporting≥ 2, 1 and 0 visits, respectively, 0.13, 0.15 and 0.16,P = 0.01).Receipt of primary medical care is associated with improved addiction severity. These results support efforts to link patients with addictions to primary medical care services. [ABSTRACT FROM AUTHOR]

In this tutorial, we describe regression-based methods for analysing multiple source data arising from complex sample survey designs. We use the term ' multiple-source' data to encompass all cases where data are simultaneously obtained from multiple informants, or raters (e.g. self-reports, family members, health care providers, administrators) or via different/parallel instruments, indicators or methods (e.g. symptom rating scales, standardized diagnostic interviews, or clinical diagnoses). We review regression models for analysing multiple source risk factors or multiple source outcomes and show that they can be considered special cases of generalized linear models, albeit with correlated outcomes. We show how these methods can be extended to handle the common survey features of stratification, clustering, and sampling weights. We describe how to fit regression models with multiple source reports derived from complex sample surveys using general purpose statistical software. Finally, the methods are illustrated using data from two studies: the Stirling County Study and the Eastern Connecticut Child Survey. Copyright © 2004 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

To identify patient characteristics and health care experiences associated with primary care linkage after alcohol or drug detoxification. Primary data collected over two years. Subjects were adults without primary medical care, in an urban residential detoxification program. A prospective cohort study in the context of a randomized trial of a linkage intervention, and an expansion of Medicaid benefits. Data were collected by interview assessment of predisposing, enabling, and illness variables. Linkage was defined as self-report of at least one visit with a primary care clinician during follow-up. Of 400 subjects, 63 percent linked with primary medical care. In a multivariable model adjusting for randomization assignment, predisposing, enabling, and illness variables, women, those with no recent incarceration, those with support for abstinence by family or friends, and those who had visited a medical clinic or physician recently were significantly more likely to link with primary care. Those with health insurance during follow-up were also more likely to link. Recent mental health or addictions treatment utilization and health status were not associated with linkage. A substantial proportion of adults with addictions do not link with primary medical care. These data suggest that efforts could be focused on those least likely to link, that contacts with mental health and addictions treatment providers are underutilized opportunities for these efforts, and that health policy changes such as expanding health insurance benefits may improve entry of substance-dependent patients into primary medical care. [ABSTRACT FROM AUTHOR]

We examined the association of substance abuse treatment with uptake, adherence and virological response to highly active antiretroviral therapy (HAART) among HIV-infected people with a history of alcohol problems. Prospective cohort study. A standardized questionnaire was administered to 349 HIV-infected participants with a history of alcohol problems regarding demographics, substance use, use of substance abuse treatment and uptake of and adherence to HAART. These subjects were followed every 6 months for up to seven occasions. We defined substance abuse treatment services as any of the following in the past 6 months: 12 weeks in a half-way house or residential facility; 12 visits to a substance abuse counselor or mental health professional; or participation in any methadone maintenance program. Our outcome variables were uptake of antiretroviral therapy, 30-day self-reported adherence and HIV viral load suppression. At baseline, 59% (205/349) of subjects were receiving HAART. Engagement in substance abuse treatment was independently associated with receiving antiretroviral therapy (adjusted OR; 95% CI: 1.70; 1.03–2.83). Substance abuse treatment was not associated with 30-day adherence or HIV viral load suppression. More depressive symptoms (0.48; 0.32–0.78) and use of drugs or alcohol in the previous 30 days (0.17; 0.11–0.28) were associated with worse 30-day adherence. HIV viral load suppression was positively associated with higher doses of antiretroviral medication (1.29; 1.15–1.45) and older age (1.04; 1.00–1.07) and negatively associated with use of drugs or alcohol in the previous 30 days (0.51; 0.33–0.78). Substance abuse treatment was associated with receipt of HAART; however, it was not associated with adherence or HIV viral load suppression. Substance abuse treatment programs may provide an opportunity for HIV-infected people with alcohol or drug problems to openly address issues of HIV care including enhancing adherence to HAART. [ABSTRACT FROM AUTHOR]

Aim Pragmatic approaches to integration of medical care and substance abuse treatment are desired. We assessed the effectiveness of a novel multi-disciplinary clinic for linking patients in a residential detoxification program to primary medical care. Participants We enrolled patients undergoing in-patient detoxification from alcohol, heroin or cocaine who had no primary care physician into a randomized controlled trial. The intervention consisted of a clinical evaluation at the detoxification unit in the health evaluation and linkage to primary care (HELP) clinic by a nurse, social worker and physician and facilitated referral to an off-site primary care clinic. The primary outcome of interest was attendance at a primary care appointment within 12 months. Secondary outcomes assessed over 24 months were addiction severity, health-related quality of life, utilization of medical and addiction services and HIV risk behaviors. Findings Of the 470 subjects enrolled, 235 were randomized to the HELP clinic intervention. Linkage to primary medical care occurred in 69% of the intervention group compared to 53% in the control group (P = 0.0003). The clinic was similarly effective for subjects with alcohol and illicit drug problems. Randomization to the HELP clinic resulted in no significant differences in secondary outcomes. Conclusions The HELP clinic, a multi-disciplinary clinic located in a detoxification unit, effectively linked alcohol- and drug-dependent individuals to primary medical care. This intervention utilized a 'reachable moment', the period of addiction care, as a window of opportunity for linking substance abusers to medical care. [ABSTRACT FROM AUTHOR]

Background: Little information exists about serious injury in alcohol or drug abusers who seek detoxification. This study examined injury prevalence, and the impact of alcohol use on injury, among alcohol- and drug-dependent persons. Method: We enrolled patients at a detoxification unit into a prospective cohort study and performed follow-up interviews to determine the prevalence of injury. Baseline and follow-up (6, 12, 18, and 24 month) data were examined separately by using multivariate logistic regression to determine factors associated with self-reported episodes of serious injury. The main independent variable was self-reported first and second substances of choice at admission: alcohol only, drug only, or both. Results: Overall, 24% of the 470 subjects reported at least one instance of serious injury over the 6-month period before detoxification. Similarly, approximately 20% of subjects had serious injury during each 6-month follow-up period. Injury in the past 6 months was highest among the 63% of subjects who reported alcohol as a drug of choice (28-29% vs. 16% for drug only), even after we controlled for potential confounders. Analysis of 2-year follow-up data revealed a similar association, after we controlled for baseline injury and alcohol consumption. Conclusions: Injury is a serious problem for a substantial proportion of patients who undergo detoxification, particularly those with alcohol dependence. This marked risk for serious injury persisted for 24 months after detoxification. Patients at detoxification, particularly those with alcohol problems, represent a high-risk population for injury that may benefit from interventions to reduce these preventable complications. [ABSTRACT FROM AUTHOR]

Background: We examined the association of substance abuse treatment services on hospitalization among participants in the HIV-Alcohol Longitudinal Cohort (HIV-ALC) study of HIV-infected individuals with a history of alcohol problems., Methods: A standardized questionnaire that inquired about demographics, substance use, use of substance abuse treatment services, and hospitalization was administered to 349 HIV-ALC participants. We defined substance abuse treatment services as any of the following in the past 6 months: 12 weeks in a half-way house or residential facility, 12 visits to a substance abuse counselor or mental health professional, or participation in any methadone maintenance program., Results: Almost one third of this cohort were hospitalized in the past 6 months. Substance abuse treatment was not significantly associated with hospitalization [adjusted odds ratio (AOR) 1.0; 95% confidence interval (CI) 0.7-1.5), whereas homelessness (AOR 2.3; 95% CI 1.5-3.6), injection drug use (AOR 1.7; 95% CI 1.0-2.7), severity of alcohol dependence (AOR 1.02; 95% CI 1.00-1.05), CD4 cell count (AOR 0.999; 95% CI 0.998-1.00), and HIV RNA (AOR 1.1; 95% CI 1.0-1.2) were independently associated with increased odds of hospitalization over time., Conclusions: Engagement in substance abuse treatment was not associated with a decrease in hospital use by HIV-infected individuals with a history of alcohol problems. The period of substance abuse treatment may present an opportunity to address health care utilization patterns of HIV-infected individuals.

Background: Alcohol abuse has been associated with poor adherence to highly active antiretroviral therapy (HAART). We examined the relative importance of varying levels of alcohol consumption on adherence in HIV-infected patients with a history of alcohol problems., Methods: We surveyed 349 HIV-infected persons with a history of alcohol problems at 6-month intervals. Of these subjects, 267 were taking HAART at one or more time periods during the 30-month follow-up period. Interviews assessed recent adherence to HAART and past month alcohol consumption, defined as "none", "moderate", and "at risk". We investigated the relationship between adherence to HAART and alcohol consumption at baseline and at each subsequent 6-month follow-up interval using multivariable longitudinal regression models, while controlling for potential confounders., Results: Among the 267 HIV-infected persons with a history of alcohol problems who were receiving HAART, alcohol consumption was the most significant predictor of adherence (p < 0.0001), with better adherence being associated with recent abstinence from alcohol, compared with at-risk level usage (odds ratio = 3.6, 95% confidence interval = 2.1-6.2) or compared with moderate usage (odds ratio = 3.0, 95% confidence interval = 2.0-4.5)., Conclusions: Any alcohol use among HIV-infected persons with a history of alcohol problems is associated with worse HAART adherence. Addressing alcohol use in HIV-infected persons may improve antiretroviral adherence and ultimately clinical outcomes.

Background: The relationship between alcohol consumption and HIV disease progression has received limited attention in the era of highly active antiretroviral therapy (HAART)., Methods: We assessed CD4 cell count, HIV RNA levels, and alcohol consumption in the past month, defined as none, moderate, and at risk, in 349 HIV-infected people with a history of alcohol problems. We investigated the relationship between alcohol consumption and HIV disease markers CD4 cell count and HIV RNA level, stratified by HAART use, using multivariable regression., Results: No significant differences in CD4 cell count or HIV RNA level were found across the categories of alcohol consumption for patients who were not receiving HAART. However, among patients who were receiving HAART, log HIV RNA levels were significantly higher in those with moderate (2.17 copies/ml) and at-risk (2.73 copies/ml) alcohol use compared with none (1.73 copies/ml; p = 0.006). CD4 cell counts in those with moderate (368 cells/microl) and at-risk (360 cells/microl) alcohol use were lower than for subjects who reported none (426 cells/microl; p = 0.07)., Conclusion: Among patients who have a history of alcohol problems and are receiving antiretroviral treatment, alcohol consumption was associated with higher HIV RNA levels and lower CD4 counts. No comparable association was found for similar patients who were not receiving HAART. Addressing alcohol use in HIV-infected patients, especially those who are receiving HAART, may have a substantial impact on HIV disease progression.