{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T17:34:46Z","timestamp":1772386486675,"version":"3.50.1"},"reference-count":40,"publisher":"Oxford University Press (OUP)","issue":"1","license":[{"start":{"date-parts":[[2025,2,17]],"date-time":"2025-02-17T00:00:00Z","timestamp":1739750400000},"content-version":"vor","delay-in-days":47,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,1,7]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Objectives<\/jats:title>\n                  <jats:p>This study aimed to investigate how many male truck drivers have sleep disorders and what factors are most associated with chronic insomnia symptoms.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Methods<\/jats:title>\n                  <jats:p>A cross-sectional study of 505 truck drivers in Akita prefecture was conducted using a self-administered questionnaire and health checkup data. We defined insomnia based on the International Classification of Sleep Disorders, third edition, sleep apnea syndrome (SAS) with a simple 4-variable screening tool, and restless legs syndrome (RLS) with RLS\/Willis-Ekbom disease diagnostic criteria. Investigated factors included sleep duration, driving characteristics, caffeine types (foods and beverage) and amounts, caffeine intake timing, State-Trait Anxiety Inventory (STAI), individual stress, and other covariates.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>The prevalence of suspected SAS was 23.2% (n\u2009=\u2009154), and that of RLS was 0.8% (n\u2009=\u20095). After excluding those, chronic insomnia symptoms were present in 36\/505 drivers (7.1%). After adjusting for covariates, a logistic model demonstrated that drinking habits [odds ratio (OR), 6.21; 95% CI, 1.07-35.8], caffeine intake before sleep (OR, 2.65; 95% CI, 1.09-6.45), sleep duration on days off (OR, 1.44; 95% CI, 1.01-2.05), and STAI score (OR, 12.8; 95% CI, 2.53-64.2) were significantly associated with chronic insomnia symptoms. STAI was significantly positively correlated with individual stress, such as family worries (r\u2009=\u20090.22), relationships with non-partners (r\u2009=\u20090.28), and health (r\u2009=\u20090.23).<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>Our study revealed that one-fourth of male truck drivers had sleep disorders that require further medical evaluation. For male truck drivers, lifestyle modification and stress relief may be key to address insomnia.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/joccuh\/uiaf012","type":"journal-article","created":{"date-parts":[[2025,2,17]],"date-time":"2025-02-17T15:22:36Z","timestamp":1739805756000},"source":"Crossref","is-referenced-by-count":2,"title":["How many truck drivers have sleep disorders? Investigation of the effects of lifestyle and stress on insomnia among Japanese male truck drivers"],"prefix":"10.1093","volume":"67","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-6638-1573","authenticated-orcid":false,"given":"Ryoya","family":"Aoki","sequence":"first","affiliation":[{"name":"Department of Medicine, Akita University Faculty of Medicine , Akita, Japan 1\u20131\u20131 Hondo, Akita, 010-8543 , , , Akita, Japan 1\u20131\u20131 Hondo, Akita 010\u20138543 ,","place":["Japan Japan"]},{"name":"Department of Environmental Health Science and Public Health, Akita University Graduate School of Medicine , Akita, Japan 1\u20131\u20131 Hondo, Akita, 010-8543 , , , Akita, Japan 1\u20131\u20131 Hondo, Akita 010\u20138543 ,","place":["Japan Japan"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Takashi","family":"Miyachi","sequence":"additional","affiliation":[{"name":"Department of Medicine, Akita University Faculty of Medicine , Akita, Japan 1\u20131\u20131 Hondo, Akita, 010-8543 , , , Akita, Japan 1\u20131\u20131 Hondo, Akita 010\u20138543 ,","place":["Japan Japan"]},{"name":"Department of Environmental Health Science and Public Health, Akita University Graduate School of Medicine , Akita, Japan 1\u20131\u20131 Hondo, Akita, 010-8543 , , , Akita, Japan 1\u20131\u20131 Hondo, Akita 010\u20138543 ,","place":["Japan Japan"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuta","family":"Sugano","sequence":"additional","affiliation":[{"name":"Department of Medicine, Akita University Faculty of Medicine , Akita, Japan 1\u20131\u20131 Hondo, Akita, 010-8543 , , , Akita, Japan 1\u20131\u20131 Hondo, Akita 010\u20138543 ,","place":["Japan Japan"]},{"name":"Department of Environmental Health Science and Public Health, Akita University Graduate School of Medicine , Akita, Japan 1\u20131\u20131 Hondo, Akita, 010-8543 , , , Akita, Japan 1\u20131\u20131 Hondo, Akita 010\u20138543 ,","place":["Japan 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