Predicting the Onset of Opioid Use Disorder in the Swedish General Population

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Kendler, Kenneth S.Virginia Commonwealth University (author)

Predicting the Onset of Opioid Use Disorder in the Swedish General Population

Article/chapterEnglish2022

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Alcohol Research Documentation, Inc.2022
10 s.

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LIBRIS-ID:oai:lup.lub.lu.se:741295bd-efa4-4e63-9827-d408a73b43c3
https://lup.lub.lu.se/record/741295bd-efa4-4e63-9827-d408a73b43c3URI
https://doi.org/10.15288/jsad.2022.83.332DOI

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Language:English
Summary in:English

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Objective: Given the public health importance of opioid use disorder (OUD), we sought to understand better its risk predictors in the Swedish general population. Method: We examined the Swedish population, born 1950–1970 (n = 2,092,359), and followed through 2018. Using Cox, logistic, and co-sibling models, we explored associations between a wide range of putative risk factors and a first onset of OUD—assessed through medical, criminal, and pharmacy registers—in the entire cohort and in the cohort wherein prior cases of drug use disorder (DUD) were censored. Results: OUD was predicted by the following four risk factor domains: (a) externalizing syndromes, especially prior non-opioid DUD; (b) psychopathology; (c) psychosocial factors, including social class and immigrant and marital status; and (d) serious injuries and pain diagnoses. When predicting OUD as the first form of DUD, the importance of pain diagnoses as a predictor increased. Co-sibling analyses suggested that the association of some of these risk factors with OUD onset was likely largely causal, whereas others were a mixture of causal effects and familial confounding. An aggregate risk score from these individual risk factors had reasonable receiver operating characteristic (ROC) curve performance. Conclusions: OUD is a multifactorial syndrome for which risk can be meaningfully predicted by prior externalizing syndromes, internalizing and psychotic psychopathology, indicators of psychosocial status, and predictors of pain diagnoses. Some important differences were seen in the prediction of any OUD onset versus OUD onset as the first form of DUD. Much of the effect of these predictors appear, in co-sibling analyses, to likely reflect causal influences.

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Lönn, Sara L.Lund University,Lunds universitet,Allmänmedicin och klinisk epidemiologi,Forskargrupper vid Lunds universitet,Family Medicine and Clinical Epidemiology,Lund University Research Groups(Swepub:lu)mats-sla (author)
Sundquist, JanLund University,Lunds universitet,Allmänmedicin och klinisk epidemiologi,Forskargrupper vid Lunds universitet,Family Medicine and Clinical Epidemiology,Lund University Research Groups,Icahn School of Medicine at Mount Sinai,Shimane University(Swepub:lu)med-jsu (author)
Sundquist, KristinaLund University,Lunds universitet,Allmänmedicin och klinisk epidemiologi,Forskargrupper vid Lunds universitet,Family Medicine and Clinical Epidemiology,Lund University Research Groups,Icahn School of Medicine at Mount Sinai,Shimane University(Swepub:lu)med-ksq (author)
Virginia Commonwealth UniversityAllmänmedicin och klinisk epidemiologi (creator_code:org_t)

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In:Journal of Studies on Alcohol and Drugs: Alcohol Research Documentation, Inc.83:3, s. 332-3411937-18881938-4114

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