L
Lee Di Milia
Researcher at Central Queensland University
Publications - 60
Citations - 3149
Lee Di Milia is an academic researcher from Central Queensland University. The author has contributed to research in topics: Shift work & Confirmatory factor analysis. The author has an hindex of 25, co-authored 58 publications receiving 2679 citations. Previous affiliations of Lee Di Milia include Griffith University & University of Wollongong.
Papers
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Journal ArticleDOI
Circadian typology: a comprehensive review.
Ana Adan,Simon Archer,Maria Paz Loayza Hidalgo,Lee Di Milia,Vincenzo Natale,Christoph Randler +5 more
TL;DR: This review of the psychometric properties and validity of CT measures as well as individual, environmental and genetic factors that influence the circadian typology provides a state of the art discussion to allow professionals to integrate chronobiological aspects of human behavior into their daily practice.
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Reviewing the psychometric properties of contemporary circadian typology measures.
TL;DR: Good-quality subjective and objective data suggest adequate construct validity for each of the CT instruments, but a major limitation of this literature is studies that assess the predictive validity of these instruments.
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Sleep disorders, medical conditions, and road accident risk
TL;DR: The potential contribution of several prevalent medical conditions - allergic rhinitis, asthma, chronic obstructive pulmonary disease, rheumatoid arthritis/osteoarthritis - and chronic fatigue syndrome and clinical sleep disorders - insomnia, obstructive sleep apnea, narcolepsy, periodic limb movement of sleep, and restless legs syndrome - to the risk for drowsy-driving road crashes is reviewed.
Journal ArticleDOI
Demographic factors, fatigue, and driving accidents: An examination of the published literature
Lee Di Milia,Michael H. Smolensky,Giovanni Costa,Heidi D. Howarth,Maurice M. Ohayon,Pierre Philip +5 more
TL;DR: This article reviews the literature pertaining to the association between demographic variables with fatigue, and when feasible, accident risk, and recommends greater interdisciplinary collaborations, incorporation of multiple demographic variables as independent factors, and use of within-participant analyses.
Journal ArticleDOI
Shift Work Disorder in a Random Population Sample – Prevalence and Comorbidities
Lee Di Milia,Siri Waage,Siri Waage,Ståle Pallesen,Ståle Pallesen,Bjørn Bjorvatn,Bjørn Bjorvatn +6 more
TL;DR: Day workers with SWD symptoms reported significantly shorter sleep duration, higher levels of languidity and worked longer working hours compared to day workers without SWD.