Purpose
Individuals with intellectual disabilities (IDs) have more health problems, a poorer general health, and a shorter life expectancy than individuals in general. High rates of drug use in IDs have been reported. Despite the increasing interest in health problems in individuals with IDs, little is known about their drug use.
Method
Drug use in a community sample of adults with IDs (N = 593) was compared with dispensed drugs in a time‐, age‐, and region‐matched comparison group of adults in Western Norway (N = 289 325). A logistic regression model was employed by using the main group effect to describe and analyze the differences between the ID sample and the comparison sample and by using the interaction term (group × age) to describe the rate change differences from the reference age (18‐30 years) between the two groups.
Results
Total drug use in the ID sample was 62% compared with 50% in the reference sample (P = 0.0001). The high prevalence of drugs for the nervous system (ATC N) in the ID sample (50%) explained the difference. From age 51 and over, the increase in the drug use rate for the cardiovascular disease was significantly lower in the ID sample than in the reference sample (P value range: 0.002‐0.019).
Conclusions
Adults with IDs use more drugs than adults in general. However, the findings showed lower rates of drug use in the ID sample than in the general population for drugs targeting diseases that are the leading causes of death in individuals with IDs.
Objective: To determine the prevalence and associated demographic and clinical features of borderline intellectual functioning (BIF) among individuals with polysubstance use disorder (pSUD).Methods: We applied a cross-sectional analytical design to data from the Norwegian STAYER study (n = 162), a cohort study of patients with a pSUD from the Stavanger University hospital catchment area. We used Wechsler Abbreviated Scale of Intelligence Full Scale IQ (FSIQ) to define BIF (FSIQ = 70–85) and non-BIF (FSIQ = >85) and collected demographic and clinical data using semi-structured interviews and self-reports on the Symptom Checklist 90-Revised (SCL-90-R) and the Satisfaction With Life Scale (SWLS).Results: The prevalence of BIF was 18% in the present study. The presence of BIF was associated with higher SCL-90-R GSI scores than in the non-BIF group. There were no significant differences between the BIF and non-BIF groups regarding age, gender, participation in meaningful daily activity, years of work experience, years of education, satisfaction with life, level of care, treatment attempts, age at substance-use onset, years of substance use, history of injecting drugs, or age of onset of injecting drugs.Conclusion: The present study confirmed a higher prevalence of BIF among patients with pSUD than expected from the distribution of IQ scores in a general population. Elevated SCL-90-R GSI scores suggested that BIF is associated with increased psychological distress in patients receiving treatment for pSUD. Further studies on this association, and its effect on treatment procedure and outcomes are strongly warranted.
Aims: To investigate the direct effect of different childhood difficulties on adult intelligence coefficient (IQ) and their possible indirect effect through the mediating pathways of education and severity substance use. Participants: Ninety in-patients aged 19–64. The participants had abstained from substance use for at least 6 weeks and had different substance use profiles. Measurements: Substance use disorder (SUD) and psychiatric illnesses were diagnosed according to the International Classification of Diseases 10th edition criteria. IQ was measured with the Wechsler Adult Intelligence Scale, 4th edition. Childhood difficulties, severity of substance use and level of education were assessed through a self-report questionnaire. Findings: Mean full scale IQ for the studied population was 87.3. Learning and attention deficit/hyperactivity difficulties in childhood were directly related to adult IQ. Education had a mediating effect between childhood learning difficulties/conduct problems and the verbal comprehension index. There was no significant difference in IQ due to the specific substance used or severity of substance use. Conclusion: IQ variance in in-treatment individuals with SUD was related to childhood functioning alone or through the mediator of education. Substance-related factors did not contribute to IQ variance. The results fit a normal theory of IQ development with commonly known risk factors and no disturbing effect of substance use.
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