Socio-demographic risk factors for alcohol and drug dependence: the 10-year follow-up of the national comorbidity survey

National Scientific Research Center (CNRS 5231), Bordeaux, France.
Addiction (Impact Factor: 4.6). 07/2009; 104(8):1346-55. DOI: 10.1111/j.1360-0443.2009.02622.x
Source: PubMed

ABSTRACT Continued progress in etiological research and prevention science requires more precise information concerning the specific stages at which socio-demographic variables are implicated most strongly in transition from initial substance use to dependence. The present study examines prospective associations between socio-demographic variables and the subsequent onset of alcohol and drug dependence using data from the National Comorbidity Survey (NCS) and the NCS Follow-up survey (NCS-2).
The NCS was a nationally representative survey of the prevalence and correlates of DSM-III-R mental and substance disorders in the United States carried out in 1990-2002. The NCS-2 re-interviewed a probability subsample of NCS respondents a decade after the baseline survey. Baseline NCS socio-demographic characteristics and substance use history were examined as predictors of the first onset of DSM-IV alcohol and drug dependence in the NCS-2.
A total of 5001 NCS respondents were re-interviewed in the NCS-2 (87.6% of baseline sample).
Aggregate analyses demonstrated significant associations between some baseline socio-demographic variables (young age, low education, non-white ethnicity, occupational status) but not others (sex, number of children, residential area) and the subsequent onset of DSM-IV alcohol or drug dependence. However, conditional models showed that these risk factors were limited to specific stages of baseline use. Moreover, many socio-demographic variables that were not significant in the aggregate analyses were significant predictors of dependence when examined by stage of use.
The findings underscore the potential for socio-demographic risk factors to have highly specific associations with different stages of the substance use trajectory.

  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Disease mapping is linked to two other scientific areas: small area estimation and ecological-spatial regression. This paper reviews similarities and differences among them. Bayesian hierarchical models are typically used in this context, using a com- bination of covariate data and a set of spatial random effects to represent the risk surface. The random effects are typically modeled by a conditional autoregressive prior distribution, and a number of alternative specifications have been proposed in the literature. The four models assessed here are applied to a study on alcohol abuse in Portugal, using data collected by the World Mental Health Survey Initiative.
    Revstat - Statistical Journal 03/2015; 13(1):79-101. · 0.68 Impact Factor
  • Mental Health and Substance Use dual diagnosis 11/2014; 7(4):299-314. DOI:10.1080/17523281.2013.873071
  • [Show abstract] [Hide abstract]
    ABSTRACT: Substance abuse is a serious global problem that is affected by multiple psychosocial and socio-demographic factors. This study aimed to investigate the leading factors in positive attitude and tendency toward substance abuse in terms of personality, socio-economic, and socio-demographic factors. In a cross-sectional study, 200 college students (105 females and 95 males) residing in Damghan University dormitory in northeast of Iran were recruited by random sampling from March to July 2013. The participants were instructed and asked to complete the NEO FIVE-factor Inventory, the attitude to substance abuse scale, and the demographic questionnaire. Then data were analyzed by stepwise multiple regression employing PASW 18. Being male sex and neuroticism had a significant positive role in predicting positive attitude toward substance abuse in university students. In addition, agreeableness, conscientiousness, openness, and socio-economic status had a significant negative role in predicting tendency toward substance abuse (P < 0.001). Extraversion had no significant role in prediction of positive attitude to substance abuse (P > 0.05). Lower agreeableness, decreased conscientiousness, higher neuroticism, diminished openness, low socio-economic status, and male sex might make university students more inclined to substance abuse. Thus, it is reasonable to show the importance of these factors in tailored prevention programs.

Full-text (2 Sources)

Available from
May 16, 2014