Correlates of daytime sleepiness and insomnia among adults in Samoa

To describe daytime sleepiness and insomnia among adults in Samoa and identify modifiable factors associated with these measures. Cross-sectional analysis of data from the Soifua Manuia (“Good Health”) study (n = 519, 55.1% female); Upolu island, Samoa. Daytime sleepiness and insomnia were assessed...

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Bibliographic Details
Published inSleep epidemiology Vol. 2; p. 100042
Main Authors Heinsberg, Lacey W., Carlson, Jenna C., Pomer, Alysa, Cade, Brian E., Naseri, Take, Reupena, Muagututia Sefuiva, Weeks, Daniel E., McGarvey, Stephen T., Redline, Susan, Hawley, Nicola L.
Format Journal Article
LanguageEnglish
Published Netherlands Elsevier B.V 01.12.2022
Elsevier
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Summary:To describe daytime sleepiness and insomnia among adults in Samoa and identify modifiable factors associated with these measures. Cross-sectional analysis of data from the Soifua Manuia (“Good Health”) study (n = 519, 55.1% female); Upolu island, Samoa. Daytime sleepiness and insomnia were assessed with the Epworth Sleepiness Scale (ESS) and the Women's Health Initiative Insomnia Rating Scale (WHIIRS), respectively. Detailed physical, sociodemographic, and behavioral factors were collected. Sleep measures were characterized using multiple linear regression with backwards elimination and a bootstrap stability investigation. Excessive daytime sleepiness (ESS>10) and insomnia (WHIIRS>10) were reported by 20% and 6.3% of the sample, respectively. ESS scores were higher in individuals reporting more physical activity (Estimate=1.88; 95% CI=1.12 to 2.75), higher material wealth (0.18; 0.09 to 0.28), and asthma (2.85; 1.25 to 4.51). ESS scores were lower in individuals residing in periurban versus urban regions (-1.43; -2.39 to -0.41), reporting no work versus day shift work (-2.26; -3.07 to -1.41), and reporting greater perceived stress (-0.14; -0.23 to -0.06). WHIIRS scores were lower in individuals reporting “other” shift work (split/irregular/on-call/rotating) versus day shift work (-1.96; -2.89 to -1.14) and those who perceived their village's wealth to be poor/average versus wealthy (-0.94; -1.50 to -0.34). Participants had a generally higher prevalence of excessive daytime sleepiness, but lower prevalence of insomnia, compared with individuals from high-income countries. Factors associated with sleep health differed compared with prior studies, emphasizing potential cultural/environmental differences and the need for targeted interventions to improve sleep health in this setting.
Bibliography:Authors’ roles
LWH, JCC, STM, BEC, SR, and NLH conceived and designed the present study with additional methodological feedback from all authors. LWH performed all statistical analyses with oversight and methodological guidance from JCC and DEW. LWH wrote the first draft of the manuscript and critically revised based on co-author feedback. NLH supervised all aspects of the project. AP was responsible for overseeing data collection activities with supervision from NLH, STM, TN, and MSR. SR and BC assisted NLH with designing sleep study questionnaires and provided oversight of sleep data acquisition. STM is the principal investigator of the parent study and, with NLH and DEW, was responsible for acquisition of the study funding. All authors contributed to the interpretation of the data and results. All authors reviewed, critically revised, and approved the final manuscript. All authors agree to be accountable for all aspects of the work.
ISSN:2667-3436
2667-3436
DOI:10.1016/j.sleepe.2022.100042