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Nathaniel S Marshall

Publications and source records attributed to Nathaniel S Marshall.

4 recordsLinked to original sources
PubMed2005

The Epworth Sleepiness Scale: influence of age, ethnicity, and socioeconomic deprivation. Epworth Sleepiness scores of adults in New Zealand.

STUDY OBJECTIVES: To examine possible relationships between excessive sleepiness (Epworth Sleepiness Scale score >10), and age, sex, ethnicity, socioeconomic deprivation, usual sleep, and self-reported symptoms of obstructive sleep apnea. DESIGN: Mail-out survey to a stratified random sample of 10,000 people aged 30 to 60 years, selected from the electoral roll. SETTING: Nationwide survey of adults in New Zealand (71% response rate). PARTICIPANTS: The sample design aimed for equal numbers of Măori and non-Măori participants, men and women, and participants in each age decade. INTERVENTIONS: N/A. MEASUREMENTS AND RESULTS: Two-page questionnaire. Măori participants had higher mean Epworth Sleepiness Scale scores than non-Măori (7.5 versus 6.0) and were more likely to have an Epworth Sleepiness Scale score of more than 10. Logistic multiple regression modeling identified the following significant independent risk factors for having an Epworth Sleepiness Scale score >10: being Măori, male, older, reporting more or less than 7.5 to 8.0 hours usual sleep, never or rarely getting enough sleep, never or rarely waking refreshed, larger neck circumference, observed apneas, and not drinking alcohol (compared with moderate alcohol consumption). CONCLUSIONS: The relationships between an Epworth Sleepiness Scale score >10 and sleep habits and risk factors for obstructive sleep apnea are as expected. The relationships between an ESS score > 10 and being Măori, a man, older, or more socioeconomically deprived could be related to a higher prevalence of sleep disorders in these groups. However, more research is needed to understand possible differences not only in pathophysiologic processes, but also in the wider societal trends and pressures that may impact differentially on sleep and sleepiness.

Adult↗
PubMed2005

Sleep, sleepiness and motor vehicle accidents: a national survey.

OBJECTIVE: To assess the role of sleep-related factors, ethnicity and socioeconomic deprivation in self-reported motor vehicle accidents while driving, after controlling for gender, age and driving exposure. METHODS: Mail survey to a random electoral roll sample of 10,000 people aged 30-60 years, stratified by age decades and ethnicity (71% response rate). The analytical sample included 5,534 current drivers (21.6% Maori men, 21.2% Maori women, 30% non-Maori men, 27.2% non-Maori women). RESULTS: Multiple logistic regression analyses revealed the following independent risk factors for accident involvement while driving (last three years): being younger; higher average weekly driving hours; never/rarely getting enough sleep (OR=1.26, 95% CI 1.06-1.49); reporting any chance of dozing in a car while stopped in traffic (Epworth Sleepiness Scale question 8, OR=1.52, 95% CI 1.15-2.02); and among women, being non-Maori. Total Epworth score was not significantly related to reported accident involvement. CONCLUSIONS: Chronic sleep restriction, and any likelihood of dozing off at the wheel of a motor vehicle, were significant independent predictors of self-reported involvement in all types of motor vehicle accidents, not only those identified as fatigue-related. The Epworth Sleepiness Scale alone is not a reliable clinical tool for identifying individuals at higher risk of crashes. IMPLICATIONS: Factors relating to chronic sleepiness were as important as established demographic risk factors for self-reported motor vehicle accident involvement among 30-60 year-old drivers. The findings reinforce the need for multi-faceted campaigns to reduce sleepy driving.

Accidents, Traffic↗
PubMedDate not supplied

Sleep and metabolic control: waking to a problem?

1. The aim of the present review is to outline: (i) the association between sleep and metabolism; (ii) how sleep duration influences the development of disease; and (iii) how sex differences, ageing and obesity may potentially influence the relationship between sleep, metabolic control and subsequent disease. 2. Sleep is associated with a number of endocrine changes, including a change in insulin action in healthy young individuals. Sleep duration shows a prospective U-shaped relationship with all-cause mortality, cardiovascular disease and Type 2 diabetes. 3. Chronic sleep restriction is becoming more common. Experimental sleep restriction impedes daytime glucose control and increases appetite. 4. The sex hormones oestrogen and testosterone influence sleep duration and quality and may account for sex differences in the prevalence of sleep-related disorders. 5. Ageing is associated with a decreased sleep duration, decreased muscle mass and impaired insulin action. 6. Obesity impairs insulin action and is associated with the incidence and severity of obstructive sleep apnoea. 7. Sleep plays an integral role in metabolic control. Consequently, insufficient sleep may represent a modifiable risk factor for the development of Type 2 diabetes. The challenge ahead is to identify how sex differences, ageing and obesity could potentially influence the relationship between sleep and metabolism.

Aging↗