Literature DB >> 30590309

Triple comorbid trajectories of alcohol, cigarette, and marijuana use from adolescence to adulthood predict insomnia in adulthood.

Jung Yeon Lee1, Wonkuk Kim2, Judith S Brook1.   

Abstract

Approximately 9% of adults report the symptoms of insomnia, and there are a number of adverse consequences of insomnia. This could be a public health concern. The current study seeks plausible longitudinal predictors of insomnia for prevention purposes. A community sample of 674 participants (53% African Americans and 47% Puerto Ricans; 60% were females) were recruited from the Harlem Longitudinal Development Study. We applied a growth mixture model to obtain the triple trajectories of alcohol, cigarette, and marijuana use. Logistic regression analyses were then conducted to examine the associations between the triple trajectory groups from mean age 14 to 36 and insomnia at age 36. The estimated prevalence of insomnia is 7.1%. A five-group triple trajectory model was selected: A) Increasing use of all three substances (18%); B) Moderate use of alcohol and marijuana, and high use of cigarette (11%); C) Moderate use of alcohol and cigarette, and experimental use of marijuana (3%); D) Moderate use of all three substances (5%); and E) No or low use of all three substances (63%). Among the five trajectory groups, the increasing use of all three substances group (AOR = 2.71, p-value = .011) was associated with an increased likelihood of having insomnia as compared to the no or low use of all three substances group. Treatment programs to quit or reduce the use of alcohol, cigarette, and marijuana may help decrease the prevalence of insomnia. This could lead to improvements in individualized treatments for patients who have symptoms of insomnia and who also use substances.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Alcohol use; Cigarette use; Harlem Longitudinal Development Study; Insomnia; Marijuana use; Triple comorbid trajectories

Mesh:

Year:  2018        PMID: 30590309      PMCID: PMC6402871          DOI: 10.1016/j.addbeh.2018.11.026

Source DB:  PubMed          Journal:  Addict Behav        ISSN: 0306-4603            Impact factor:   3.913


  47 in total

1.  Conjoint developmental trajectories of young adult substance use.

Authors:  Kristina M Jackson; Kenneth J Sher; John E Schulenberg
Journal:  Alcohol Clin Exp Res       Date:  2008-03-04       Impact factor: 3.455

Review 2.  The Cost of Insomnia and the Benefit of Increased Access to Evidence-Based Treatment: Cognitive Behavioral Therapy for Insomnia.

Authors:  Sarah A Reynolds; Matthew R Ebben
Journal:  Sleep Med Clin       Date:  2017-03

3.  Gender differences in major depressive disorder: results from the Netherlands study of depression and anxiety.

Authors:  Jérôme J J Schuch; Annelieke M Roest; Willem A Nolen; Brenda W J H Penninx; Peter de Jonge
Journal:  J Affect Disord       Date:  2013-12-17       Impact factor: 4.839

4.  Actigraphic and self-reported sleep quality in women: associations with ovarian hormones and mood.

Authors:  David X Li; Sarah Romans; Mary Jane De Souza; Brian Murray; Gillian Einstein
Journal:  Sleep Med       Date:  2015-06-26       Impact factor: 3.492

5.  Sleep changes in smokers before, during and 3 months after nicotine withdrawal.

Authors:  Andreas Jaehne; Thomas Unbehaun; Bernd Feige; Stefan Cohrs; Andrea Rodenbeck; Anna-Lisa Schütz; Verena Uhl; Alexander Zober; Dieter Riemann
Journal:  Addict Biol       Date:  2014-05-04       Impact factor: 4.280

6.  The association between active smoking, smokeless tobacco, second-hand smoke exposure and insufficient sleep.

Authors:  Charumathi Sabanayagam; Anoop Shankar
Journal:  Sleep Med       Date:  2010-12-08       Impact factor: 3.492

7.  Trajectories of Marijuana Use During the Transition to Adulthood: The Big Picture Based on National Panel Data.

Authors:  John E Schulenberg; Alicia C Merline; Lloyd D Johnston; Patrick M O'Malley; Jerald G Bachman; Virginia B Laetz
Journal:  J Drug Issues       Date:  2005

8.  Longitudinal course of depression scores with and without insomnia in non-depressed individuals: a 6-year follow-up longitudinal study in a Korean cohort.

Authors:  Sooyeon Suh; Hyun Kim; Hae-Chung Yang; Eo Rin Cho; Seung Ku Lee; Chol Shin
Journal:  Sleep       Date:  2013-03-01       Impact factor: 5.849

9.  Clinical features of depression in outpatients with and without co-occurring general medical conditions in STAR*D: confirmatory analysis.

Authors:  William R Yates; Jeff Mitchell; A John Rush; Madhukar Trivedi; Stephen R Wisniewski; Diane Warden; Charlene Bryan; Maurizio Fava; Mustafa M Husain; Bradley N Gaynes
Journal:  Prim Care Companion J Clin Psychiatry       Date:  2007

10.  A bidirectional relationship between anxiety and depression, and insomnia? A prospective study in the general population.

Authors:  Markus Jansson-Fröjmark; Karin Lindblom
Journal:  J Psychosom Res       Date:  2008-04       Impact factor: 3.006

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  1 in total

1.  Effect of alcohol coadministration on the pharmacodynamics, pharmacokinetics, and safety of lemborexant: A randomized, placebo-controlled crossover study.

Authors:  Ishani Landry; Nancy Hall; Jagadeesh Aluri; Gleb Filippov; Beatrice Setnik; Satish Dayal; Larisa Reyderman; Margaret Moline
Journal:  J Psychopharmacol       Date:  2022-06       Impact factor: 4.562

  1 in total

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