Jillian Halladay1, R Woock2, H El-Khechen3, C Munn4, J MacKillop5, M Amlung6, M Ogrodnik7, L Favotto8, K Aryal9, A Noori10, M Kiflen11, K Georgiades12. 1. Department of Health Research, Evidence, and Impact, McMaster University, 1280 Main Street West, Hamilton ON L8S 4S4, Canada. Electronic address: halladje@mcmaster.ca. 2. Department of Social Sciences, McMaster University, Canada. Electronic address: woockr@mcmaster.ca. 3. Department of Health Research, Evidence, and Impact, McMaster University, 1280 Main Street West, Hamilton ON L8S 4S4, Canada. Electronic address: elkhechh@mcmaster.ca. 4. Department of Health Research, Evidence, and Impact, McMaster University, 1280 Main Street West, Hamilton ON L8S 4S4, Canada; Department of Psychiatry & Behavioral Neurosciences, McMaster University, Canada; Michael G. DeGroote Centre for Medicinal Cannabis Research, McMaster University, Canada. Electronic address: munnc@mcmaster.ca. 5. Department of Psychiatry & Behavioral Neurosciences, McMaster University, Canada; Peter Boris Centre for Addictions Research, McMaster University/St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada; Michael G. DeGroote Centre for Medicinal Cannabis Research, McMaster University, Canada. Electronic address: jmackill@mcmaster.ca. 6. Department of Psychiatry & Behavioral Neurosciences, McMaster University, Canada; Peter Boris Centre for Addictions Research, McMaster University/St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada; Michael G. DeGroote Centre for Medicinal Cannabis Research, McMaster University, Canada. Electronic address: amlungm@mcmaster.ca. 7. NeuroFit Lab, Department of Kinesiology, McMaster University, Canada. Electronic address: ogrodnm@mcmaster.ca. 8. Department of Health Research, Evidence, and Impact, McMaster University, 1280 Main Street West, Hamilton ON L8S 4S4, Canada. Electronic address: favottl@mcmaster.ca. 9. Department of Health Research, Evidence, and Impact, McMaster University, 1280 Main Street West, Hamilton ON L8S 4S4, Canada. Electronic address: aryalk@mcmaster.ca. 10. Department of Health Research, Evidence, and Impact, McMaster University, 1280 Main Street West, Hamilton ON L8S 4S4, Canada. Electronic address: nooria3@mcmaster.ca. 11. Department of Health Research, Evidence, and Impact, McMaster University, 1280 Main Street West, Hamilton ON L8S 4S4, Canada; Population Health Research Institute, Hamilton, ON, Canada. Electronic address: kiflenm@mcmaster.ca. 12. Department of Health Research, Evidence, and Impact, McMaster University, 1280 Main Street West, Hamilton ON L8S 4S4, Canada; Department of Psychiatry & Behavioral Neurosciences, McMaster University, Canada; Offord Centre for Child Studies, McMaster University, Canada. Electronic address: georgik@mcmaster.ca.
Abstract
PURPOSE: This review characterizes empirically derived patterns of multiple (multi-) substance use among adolescents. A secondary objective was to examine the extent to which mental health symptomatology was included in the empirical analyses examining substance use patterns. METHODS: Eligible studies included those that used cluster-based approaches, included the assessment of at least two different substances, and were based on study samples with mean ages between 11 and 18 years. 4665 records were screened including 461 studies for full-text screening. RESULTS: 70 studies were included with common clusters being: low use, single or dual substance use, moderate general multi-use, and high multi-use. The most common patterns of single or multi-substance use were: alcohol only, alcohol with cannabis and/or tobacco, and use of alcohol, tobacco, and cannabis with and without other drugs. Lower socioeconomic status, older age, and male gender were consistent predictors of multi-use clusters. Only 37 % of studies compared differences in levels of mental health across clusters with symptoms consistently associated with a greater likelihood of multi-use. Only 29 % of studies included mental health indicators in cluster-based analyses, with over half identifying distinct mental health and substance use clusters. Fit indices in cluster analyses and measurement properties of substance use were heterogeneous and inconsistently reported across studies. CONCLUSIONS: Distinct patterns of substance use were derived but methodological differences prevented direct comparison and reduced capacity to generalize across studies. There is a need to establish standardized methodological approaches to identify robust patterns of substance use to enhance etiological, prognostic, and intervention research.
PURPOSE: This review characterizes empirically derived patterns of multiple (multi-) substance use among adolescents. A secondary objective was to examine the extent to which mental health symptomatology was included in the empirical analyses examining substance use patterns. METHODS: Eligible studies included those that used cluster-based approaches, included the assessment of at least two different substances, and were based on study samples with mean ages between 11 and 18 years. 4665 records were screened including 461 studies for full-text screening. RESULTS: 70 studies were included with common clusters being: low use, single or dual substance use, moderate general multi-use, and high multi-use. The most common patterns of single or multi-substance use were: alcohol only, alcohol with cannabis and/or tobacco, and use of alcohol, tobacco, and cannabis with and without other drugs. Lower socioeconomic status, older age, and male gender were consistent predictors of multi-use clusters. Only 37 % of studies compared differences in levels of mental health across clusters with symptoms consistently associated with a greater likelihood of multi-use. Only 29 % of studies included mental health indicators in cluster-based analyses, with over half identifying distinct mental health and substance use clusters. Fit indices in cluster analyses and measurement properties of substance use were heterogeneous and inconsistently reported across studies. CONCLUSIONS: Distinct patterns of substance use were derived but methodological differences prevented direct comparison and reduced capacity to generalize across studies. There is a need to establish standardized methodological approaches to identify robust patterns of substance use to enhance etiological, prognostic, and intervention research.
Authors: Alexander Denissoff; Solja Niemelä; James G Scott; Caroline L Salom; Emily Hielscher; Jouko Miettunen; Anni-Emilia Alakokkare; Antti Mustonen Journal: Acta Psychiatr Scand Date: 2021-11-22 Impact factor: 7.734
Authors: Rehema A Mavura; Ahmed Y Nyaki; Beatrice J Leyaro; Redempta Mamseri; Johnston George; James S Ngocho; Innocent B Mboya Journal: PLoS One Date: 2022-09-02 Impact factor: 3.752
Authors: Simoni Urbano da Silva; Vivian Siqueira Santos Gonçalves; Laura Augusta Barufaldi; Kenia Mara Baiocchi de Carvalho Journal: BMC Public Health Date: 2022-10-04 Impact factor: 4.135
Authors: Alexander Denissoff; Antti Mustonen; Anni-Emilia Alakokkare; James G Scott; Musa B Sami; Jouko Miettunen; Solja Niemelä Journal: Addiction Date: 2022-04-08 Impact factor: 7.256