ArticleBMC public health2022
Patients admitted to treatment for substance use disorder in Norway: a population-based case-control study of socio-demographic correlates and comparative analyses across substance use disorders.
Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Individual placement and support (IPS) integrated with specialized substance use disorder treatment: a socioeconomic analysis based on a randomized controlled trial.International journal of public health · 2026Trial
- Met and unmet needs of service users with substance use disorders: a latent class analysis.Social psychiatry and psychiatric epidemiology · 2025Article
- To smoothie or not to smoothie? A mixed-method approach of nutrition pilot intervention among individuals in opioid agonist treatment.BMC nutrition · 2025Article
- Reliability and validity of the Patient Experiences Questionnaire for Interdisciplinary Treatment for Substance Dependence - Continuous Electronic Measurement (PEQ-ITSD - CEM).BMC health services research · 2024Article
- Not Two Sides of the Same Coin: A Qualitative Comparative Analysis of Post-Treatment Abstinence and Relapse.Substance abuse and rehabilitation · 2024Article
- Use of Big Data and Ethical Issues for Populations With Substance Use Disorder.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2023Article
- Temporal order of diagnosis between gambling disorder and substance use disorders: Longitudinal results from the Norwegian Patient Registry.Addictive behaviors reports · 2023Article
- Real-life instability in ADHD from young to middle adulthood: a nationwide register-based study of social and occupational problems.BMC psychiatry · 2023Article
- Living Alone and Suicide Risk in the United States, 2008‒2019.American journal of public health · 2022Article
- Commentary on Adams et al.: using administrative big data for the public good.Addiction (Abingdon, England) · 2022Article
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Authors and funding
3 authors.
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Abstract
backgroundImproved knowledge regarding socio-demographic correlates of people with substance use disorders (SUDs) is essential to better plan and provide adequate services for SUD patients and their families, and to improve our understanding of the complex mechanisms underlying progression into and development of various SUDs. This study aimed to: i) describe demographic, economic, and social correlates of people with SUDs in comparison with those of the general population and ii) compare these correlates across SUDs from licit versus illicit substances, as well as across specific SUDs.
methodsA national population-based case-control study included all SUD patients enrolled in specialized drug treatment in Norway in 2009-2010 (N = 31 245) and a population control sample, frequency-matched on age and gender (N = 31 275). Data on education level, labour market participation, income level and sources, and family/living arrangement were obtained by linkages to national registers.
resultsDemographic, economic, and social correlates of SUD patients differed substantially from those of the general population, and across specific SUDs. Among SUD patients, those with illicit - as compared to licit - SUDs were younger (mean quotient = 0.72 [0.71-0.72]), more often had low education level (RR = 1.68 [1.63-1.73]), were less often in paid work (RR = 0.74 [0.72-0.76]) and had lower income (mean quotient = 0.61 [0.60-0.62]). Comparison of patients with different SUD diagnoses revealed substantial demographic differences, including the relatively low mean age among cannabis patients and the high share of females among sedatives/hypnotics patients. Opioid patients stood out by being older, and more often out of work, receiving social security benefits, and living alone. Cocaine and alcohol patients were more often better educated, included in the work force, and had a better financial situation.
conclusionFindings revealed substantial and important differences in socio-demographic correlates between SUD patients and the general population, between SUD patients with illicit and with licit substance use, and across specific SUD patient groups.
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