Lifetime Dual Disorder Screening and Treatment Retention: A Pilot Cohort Study.

The coexistence of a substance use disorder and another mental disorder in the same individual has been called dual disorder or dual diagnosis. This study aimed to examine the prevalence of lifetime dual disorder in individuals with alcohol or cocaine use disorder and their retention in treatment. We conducted a pilot cohort study of individuals (n = 1356) with alcohol or cocaine use disorder admitted to treatment in the public outpatient services of Barcelona (Spain) from January 2015 to August 2017 (followed-up until February 2018). Descriptive statistics, Kaplan−Meier survival curves and a multivariable Cox regression model were estimated. The lifetime prevalence of screening positive for dual disorder was 74%. At 1 year of follow-up, >75% of the cohort remained in treatment. On multivariable analysis, the factors associated with treatment dropout were a positive screening for lifetime dual disorder (HR = 1.26; 95% CI = 1.00−1.60), alcohol use (HR = 1.35; 95% CI = 1.04−1.77), polysubstance use (alcohol or cocaine and cannabis use) (HR = 1.60; 95% CI = 1.03−2.49) and living alone (HR = 1.34; 95% CI = 1.04−1.72). Lifetime dual disorder is a prevalent issue among individuals with alcohol or cocaine use disorders and could influence their dropout from treatment in public outpatient drug dependence care centres, along with alcohol use, polysubstance use and social conditions, such as living alone. We need a large-scale study with prolonged follow-up to confirm these preliminary results.

[Validation of the ICE model to assess social class in the adult population]. / Validación del modelo REI para medir la clase social en población adulta.

BACKGROUND: Social class has commonly been defined by the type of employment and it is assessed as a categorical variable. However, this approach has a number of drawbacks. The objective of this article is to develop and validate a readily standardizable quantitative indicator of social class and to show its ability to measure the impact of social class as a health determinant. METHODS: In 6729 individuals we measured income, crowding index, education, occupation and employment status. Two models were adjusted to study the neighborhood, dietary pattern and health problems. RESULTS: The model that included only income, crowding index and education (ICE) yielded an indicator that correlated with age (r = -0.28; p < 0.001) and consumption of potatoes (r = -0.17; p < 0.001) and salads (r = 0.10; p < 0.001). This indicator estimated that poor social classes were at significant risk for unemployment (OR = 5,), blue collar jobs (OR = 40,9), residing in poor neighborhoods (OR = 30.2), low salad consumption (OR = 2.2) and high consumption of potatoes (OR = 4.5). They also had, especially in women, a higher risk of sedentarism (OR = 1.8), obesity (OR = 4.4), metabolic syndrome (OR = 3.4) and diabetes mellitus (OR = 2.0). CONCLUSIONS: The ICE index was valid, not based on occupation or employment status, readily standardizable, and suitable for measuring social class and its impact of on health.