The relationship between excessive daytime sleepiness and depressive and anxiety disorders in women

Objective: Excessive daytime sleepiness (EDS) is a common clinical symptom that affects women more than men. However, the association of excessive sleepiness with depressive and anxiety disorders in the broader population is unclear. The aim of this study was, therefore, to examine the association between excessive daytime sleepiness as measured by the Epworth Sleepiness Scale, and depressive and anxiety disorders in a population-based sample of women.

Methods: Using the Structured Clinical Interview for DSM-IV Disorders (Non-Patient) (SCID-I/NP), 944 women aged 20–97 years (median 49 years, IQR 33–65 years) were assessed for depressive and anxiety disorders as part of the Geelong Osteoporosis Study. EDS was assessed using the Epworth Sleepiness Scale (ESS, cut-off > 10). Lifestyle factors were documented by self-report, height and weight were measured, and socioeconomic status categorised according to the Index of Relative Socio-Economic Advantage and Disadvantage.

Results: Overall, 125 (13.2%) of the women were identified with EDS. EDS was associated with an increased likelihood for both current (OR = 2.11, 95% CI 1.10–4.06) and lifetime history (OR = 1.95, 95% CI 1.28–2.97) of depressive disorders, but not anxiety disorders, independent of age and alcohol consumption. These findings were not explained by antidepressant or sedative use, body mass index, physical activity, smoking, or socioeconomic status.

Conclusions: These results suggest that excessive daytime sleepiness is associated with current and lifetime depressive, but not anxiety disorders. Clinically, this highlights the need to take into account the possible bidirectional relationship between depressive disorders and excessive sleepiness when assessing mental health issues in patients with EDS.

Excessive daytime sleepiness and body composition: a population-based study of adults

Excessive daytime sleepiness (EDS) is often associated with increased adiposity, particularly when assessed in the context of samples of sleep-disordered patients; however, it is unclear if this relationship is sustained among non-clinical, population-based cohorts. This study aimed to investigate the relationship between EDS and a number of body composition markers among a population-based sample of men and women.

Excessive daytime sleepiness and metabolic syndrome: a cross-sectional study

Excessive daytime sleepiness (EDS) has been associated with singular independent symptoms of metabolic syndrome, such as insulin resistance and diabetes. The aim of this study was to assess whether this relationship is sustained among individuals who meet criteria for the whole syndrome.

Excessive daytime sleepiness and falls among older men and women: cross-sectional examination of a population-based sample

Background: Excessive daytime sleepiness (EDS) has been associated with an increased risk for falls among clinical samples of older adults. However, there is little detailed information among population-representative samples. The current study aimed to assess the relationship between EDS and falls among a cohort of population-based older adults. Methods: This study assessed 367 women aged 60-93years (median 72, interquartile range 65-79) and 451 men aged 60-92years (median 73, interquartile range 66-80) who participated in the Geelong Osteoporosis Study between the years 2001 and 2008. Falls during the prior year were documented via self-report, and for men, falls risk score was obtained using an Elderly Fall Screening Test (EFST). Sleepiness was assessed using the Epworth Sleepiness Scale (ESS), and scores of≥10 indicated EDS. Differences among those with and without EDS in regard to falls were tested using logistic regression models. Results: Among women, 50 (13.6 %) individuals reported EDS. Women with EDS were more likely to report a fall, and were more likely to report the fall occurring outside. EDS was similarly associated with an increased risk of a fall following adjustment for use of a walking aid, cases of nocturia and antidepressant medication use (adjusted OR∈=∈2.54, 95 % CI 1.24-5.21). Multivariate modelling revealed antidepressant use (current) as an effect modifier (p∈<∈.001 for the interaction term). After stratifying the data by antidepressant medication use, the association between EDS and falls was sustained following adjustment for nocturia among antidepressant non-users (adjusted OR∈=∈2.63, 95 % CI 1.31-5.30). Among men, 72 (16.0 %) individuals reported EDS. No differences were detected for men with and without EDS in regard to reported falls, and a trend towards significance was noted between EDS and a high falls risk as assessed by the EFST (p∈=∈0.06), however, age explained this relationship (age adjusted OR∈=∈2.20, 95 % CI 1.03-1.10). Conclusions: For women, EDS is independently associated with at least one fall during the previous year, and this is more likely to occur whilst located outside. Amelioration of EDS may assist in improving functional outcomes among these individuals by reducing the risk for falls.

The immediate and sustained long-term changes in daytime sleepiness after participation in a workplace pedometer program: a prospective cohort study

OBJECTIVE: To assess the potential benefit of a workplace physical activity program on daytime sleepiness. METHODS: A total of 685 participants of a 4-month workplace physical activity program were assessed for daytime sleepiness (Epworth Sleepiness Scale [ESS]) at baseline, 4 months (postprogram), and 12 months. Changes in ESS were analyzed using multilevel mixed linear regression. RESULTS: In the total population, no changes in ESS scores were observed; 0 to 4 months: -0.2 (95% CI: -0.5 to 0.0), 4 to 12 months: 0.1 (95% CI: -0.2 to 0.4). In participants with baseline excessive daytime sleepiness (ESS > 10, n = 109), ESS scores improved significantly by -2.2 (95% CI: -3.0 to -1.4) at 4 months, sustained at 12 months; and almost half no longer had excessive daytime sleepiness by end of program. CONCLUSIONS: This study suggests that for employees with excessive daytime sleepiness, short- and long-term improvement in daytime sleepiness may be an unforeseen benefit of workplace physical activity programs.

The prevalence and characteristics associated with excessive daytime sleepiness among Australian workers

OBJECTIVE: To estimate the prevalence of excessive daytime sleepiness (EDS) and its associated factors in a mixed population of employed Australian workers. METHODS: Study participants (n = 707) were volunteers from various Melbourne workplaces, participating in a workplace physical activity program in 2008. Daytime sleepiness was assessed using the Epworth Sleepiness Scale (ESS), with EDS defined as ESS scores >10. RESULTS: In this population of adult employees (40.0% male; mean age 40.2 ± 10.4 years), prevalence of EDS was 16.0%. Characteristics associated with EDS and higher ESS scores were age, higher body mass index, markers of poorer diet, and markers of poorer mental health. CONCLUSIONS: Excessive daytime sleepiness is potentially an important contributor to lower productivity and poorer mental health in the workplace. Our finding suggests that workplace health programs aimed at improving diet and body weight may also help alleviate EDS.

Fighting fatigue whilst fighting bushfire : an overview of factors contributing to firefighter fatigue during bushfire suppression

Aching muscles and joints, lethargy, and sleepiness are all signs of firefighter fatigue during bushfire suppression. If not managed, fatigue may lead to injury or illness for the individual, which may also compromise the safety and productivity of their crew. Understanding the many sources of firefighter fatigue is, therefore, fundamental for all Australian fire agencies. This article will briefly address  several factors thought to contribute to firefighter fatigue including; sleep loss, firefighter’s work activity, their hydration, and nutrition, the hot and smoky  working environment, firefighter’s physical fitness and their experience. This brief overview draws on findings from firefighting research and the broader scientific literature.

A cross-cultural study of somatic countertransference: a brief overview

Whilst countertransference is commonly experienced as feelings, thoughts, images, symbols and dreams endured by the therapist in relation to their client, somatic countertransference is positioned as embodied, physical manifestations in the therapist’s body. Common examples include headaches, nausea, aches, pains, sleepiness, sexual arousal, dizziness and trembling felt by the psychotherapist in session. Current interest in somatic countertransference spans the spectrum from the psychoanalytic, post-Jungian, dance movement and humanistic modalities to empirical studies originating from the trauma research field. Although the clinical literature emphasizes the therapeutic relevance and richness of somatic countertransference for understanding unconscious communications occurring in the session, trauma research advocates greater self-awareness and management of somatic countertransference to prevent therapist burnout. This article will outline the rationale and research process for proposing the first cross-cultural study of somatic countertransference. This study is suggested as a means to extend our understanding of, and ability to work with, somatic countertransference. Preliminary results from an initial study of Chinese psychotherapists will be discussed.

Symptoms of fatigue and coping strategies in maritime pilotage

Background:
Little is known regarding the symptoms of fatigue that maritime pilots experience during shift work. Moreover, the strategies these individuals use to cope with the onset of fatigue are also unknown. The current study explored the symptoms of fatigue and coping strategies experienced by maritime pilots when on-shift.

Material and methods:
Fifty maritime pilots were recruited via an advertisement in the national association’s quarterly newsletter (Mage = 51.42; SD = 9.81). Participants responded to a modified version of the questionnaire used with aviation pilots that assessed overall fatigue, and the symptoms pilots associated with fatigue on duty. Methods pilots used to cope with fatigue before shift and when on the bridge were also assessed.

Results:
There were significant effects for pilot vitality on 4 categories of fatigue: cognitive dysfunction; emotional disturbance; mean physical effects; and sleepiness. There were no significant effects for vitality on any of the self-reported coping strategy factors.

Conclusions:
The findings indicated that maritime pilots experience a variety of physical, behavioural, and cognitive fatigue symptoms when on shift. Some of these symptoms are similar to those reported by aviation pilots. However, unlike aviation pilots, maritime pilots reported utilising self-sufficient coping strategies to deal with the experience of fatigue.

Sleep disturbances and associated health outcomes: an epidemiological study

 This series of 8 peer-reviewed published studies provided novel evidence demonstrating a strong, independent association between daytime sleepiness, disturbed nocturnal sleep and pathological sleep disorders (sleep apnoea and insomnia) and deleterious health outcomes across several critical age-related developmental periods among three representative, population-based samples from Australia, Norway and the USA.

Subjective sleep impairment in adults with type 1 or type 2 diabetes: results from Diabetes MILES - the Netherlands

AIMS: Despite growing recognition of the impact of sleep on diabetes, a clear profile of people with diabetes regarding subjective sleep impairment has yet to be established. This study examines: (1) subjective sleep characteristics in adults with type 1 and type 2 diabetes; (2) the relationship of poor subjective sleep quality with glycaemic control, self-care and daytime functioning; (3) possible risk markers for poor sleep quality. METHODS: In a cross-sectional study, Dutch adults with type 1 (n=267) or type 2 diabetes (n=361) completed an online survey, including the Pittsburgh Sleep Quality Index (PSQI), socio-demographic, clinical, self-care and psychological measures. RESULTS: Poor sleep quality (PSQI-score >5) was reported by 31% of adults with type 1 and 42% of adults with type 2 diabetes. Participants with good and poor sleep quality did not differ in self-reported HbA1c or the frequency of meeting lifestyle recommendations. Poor sleep quality was related to a higher self-care burden and higher levels of daytime sleepiness, fatigue, depressive and anxiety symptoms, and diabetes-specific distress. In multivariable logistic regression analyses examining risk markers, poor sleep quality was associated with depressive symptoms in adults with type 1 (OR=1.39, 95% CI 1.25-1.54) and type 2 diabetes (OR=1.31, 1.16-1.47), and with being female in those with type 2 diabetes (OR=2.72, 1.42-5.20). CONCLUSIONS: Poor subjective sleep quality is prevalent both in adults with type 1 and type 2 diabetes, and is related to poor daytime functioning and higher self-care burden. The temporal relation with depression and merits of therapy should be explored.

The association between anxiety symptoms and sleep in school-aged children: a combined insight from the Children's Sleep Habits Questionnaire and actigraphy

The current study assessed the association between anxiety symptoms and sleep in 90 school-aged children, aged 6-12 years (Mage = 108 months, 52.2% male). The Children's Sleep Habits Questionnaire (CSHQ) and 14 nights of actigraphy were used to assess sleep. Anxiety was assessed using the Spence Children's Anxiety Scale (SCAS). A significant association was found between parent-reported anxiety symptoms and current sleep problems (i.e., CSHQ total scores ≥ 41). An examination of SCAS subscales identified a specific association between generalized anxiety disorder (GAD) symptoms and increased parental sleep concerns, including sleep onset delay, sleep duration, and daytime sleepiness. Regarding actigraphy, whilst anxiety was not associated with average sleep variables, a relationship was identified between anxiety and the night-to-night variability of actigraphy-derived sleep schedules.