Literature DB >> 34089619

Patterns of concomitant prescription, over-the-counter and natural sleep aid use over a 12-month period: a population based study.

Janet M Y Cheung1,2,3, Denise C Jarrin2, Simon Beaulieu-Bonneau2,4, Hans Ivers2, Geneviève Morin2, Charles M Morin2,3.   

Abstract

STUDY
OBJECTIVES: Concomitant patterns of sleep aid use may provide insight for understanding the transition to chronic sleep medication use. Therefore, we sought to characterize the trajectories of concomitant natural product (NP), over-the-counter (OTC), and prescribed (Rx) sleep aid use in a population-based sample over 12-months.
METHODS: Self-reported data on the use of NP, OTC, and Rx sleep aids were extracted from a Canadian longitudinal study on the natural history of insomnia (N = 3416, M age = 49.7 ± 14.7 years old; 62% women) at baseline, 6-month, and 12-month. Latent class growth modeling was used to identify latent class trajectories using MPlus Version 7. Participants completed a battery of clinical measures: Ford Insomnia Response to Stress Test, abbreviated Dysfunctional Beliefs and Attitudes about Sleep Scale, Beck Depression Inventory, Insomnia Severity Index and, the Pittsburgh Sleep Quality Index. Associations between class membership and baseline covariates were evaluated.
RESULTS: Concurrent sleep aid use fell into six distinct latent class trajectories over a 12-month period: Minimal Use (74.5%), Rx-Dominant (11.3%), NP-Dominant (6.3%), OTC-Dominant (4.3%), Rx-NP-Dominant (2.4%), and Rx-OTC-Dominant (1.1%). The three latent classes with prominent prescribed agent use predicted greater incidence of healthcare professional consultations for their sleep (p < 0.05), poorer sleep quality (p < 0.001), elevated dysfunctional sleep beliefs (p < 0.001), and sleep reactivity (p < 0.001). Compared to the other four latent classes, clinical profiles of Rx-NP-dominant and Rx-OTC-dominant groups endorsed greater severity across measures.
CONCLUSIONS: Patterns of sleep aid use may provide insight for identifying individuals who may be vulnerable to inappropriate self-medicating practices. © Sleep Research Society 2021. Published by Oxford University Press on behalf of the Sleep Research Society. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  insomnia; natural products; pharmacotherapy; sedating antihistamines; self-medication

Mesh:

Substances:

Year:  2021        PMID: 34089619      PMCID: PMC8598195          DOI: 10.1093/sleep/zsab141

Source DB:  PubMed          Journal:  Sleep        ISSN: 0161-8105            Impact factor:   6.313


  41 in total

1.  Validation of the Insomnia Severity Index as an outcome measure for insomnia research.

Authors:  C H. Bastien; A Vallières; C M. Morin
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2.  Physician-patient communication about over-the-counter medications.

Authors:  B Sleath; R H Rubin; W Campbell; L Gwyther; T Clark
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3.  Twelve Frequently Asked Questions About Growth Curve Modeling.

Authors:  Patrick J Curran; Khawla Obeidat; Diane Losardo
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4.  The Insomnia Severity Index: psychometric indicators to detect insomnia cases and evaluate treatment response.

Authors:  Charles M Morin; Geneviève Belleville; Lynda Bélanger; Hans Ivers
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5.  How to provide insomnia interventions to people with cancer: insights from patients.

Authors:  Judith R Davidson; Deb Feldman-Stewart; Sarah Brennenstuhl; Shefali Ram
Journal:  Psychooncology       Date:  2007-11       Impact factor: 3.894

6.  To Drug or Not to Drug: A Qualitative Study of Patients' Decision-Making Processes for Managing Insomnia.

Authors:  Janet M Y Cheung; Delwyn J Bartlett; Carol L Armour; Tracey-Lea Laba; Bandana Saini
Journal:  Behav Sleep Med       Date:  2016-05-18       Impact factor: 2.964

7.  Prevalence and Predictors of Prescription Sleep Aid Use among Individuals with DSM-5 Insomnia: The Role of Hyperarousal.

Authors:  Vivek Pillai; Philip Cheng; David A Kalmbach; Timothy Roehrs; Thomas Roth; Christopher L Drake
Journal:  Sleep       Date:  2016-04-01       Impact factor: 5.849

8.  Vulnerability to stress-related sleep disturbance and hyperarousal.

Authors:  Christopher Drake; Gary Richardson; Timothy Roehrs; Holly Scofield; Thomas Roth
Journal:  Sleep       Date:  2004-03-15       Impact factor: 5.849

9.  Dysfunctional beliefs and attitudes about sleep (DBAS): validation of a brief version (DBAS-16).

Authors:  Charles M Morin; Annie Vallières; Hans Ivers
Journal:  Sleep       Date:  2007-11       Impact factor: 5.849

Review 10.  Measures of anxiety: State-Trait Anxiety Inventory (STAI), Beck Anxiety Inventory (BAI), and Hospital Anxiety and Depression Scale-Anxiety (HADS-A).

Authors:  Laura J Julian
Journal:  Arthritis Care Res (Hoboken)       Date:  2011-11       Impact factor: 4.794

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