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Sleep Science
Published in Gia Merlo, Kathy Berra, Lifestyle Nursing, 2023
Glenn S. Brassington, Glenn T. Brassington
Although the above retrospective measures provide important information about a patient’s recollection of her nighttime sleep and daytime sleepiness, prospective sleep diaries—also referred to as a sleep log or sleep journal—help overcome some of the biases caused by memories being incomplete and selective. A sleep diary is frequently completed for two weeks and requests participants provide information about their sleep (e.g., when you went to bed, how long it took to fall asleep, nighttime awakenings, etc.) and factors that might impair sleep (e.g., caffeine consumption, anxiety, and stressful activities engaged in before bed). Sleep diary data are used to help patients identify how much quality sleep they are getting and how cognitive, behavioral, and environmental factors may be affecting their sleep (see Figure 4.1).
Week 2
Published in Myra Hunter, Melanie Smith, Managing Hot Flushes and Night Sweats, 2020
The sleep diary is designed to help you keep a record of your sleep experiences. Please complete one column of the diary each morning, soon after you wake up. Take a few minutes to do this, trying to be as accurate as you can. However, remember that it is your best estimate that we are looking for: we don’t want you to get into the habit of clockwatching at night or to become overly preoccupied by sleep. To calculate how long you slept (8): Add rows 4 (total time to get to sleep) to the total time awake in question 5 to get the total awake time during the night.Then subtract that amount from row 3 (time in bed) to get a reasonably accurate estimate of your total sleep time.
Overcoming sleep problems
Published in Nicky Dummett, Chris Williams, Overcoming Teenage Low Mood and Depression, 2018
You may find it helpful to use a Sleep diary for a few days this week as you use this workbook. A blank sleep diary is included at the end of this workbook. You can copy out the headings or photocopy the diary. By completing the diary you will be able to identify what important factors affect your sleep.
Association between Sleep Disturbances During Childhood and Smoking Trajectories During Adulthood: The Longitudinal TEMPO Cohort Study
Published in Behavioral Sleep Medicine, 2023
Thibaut Sabatier, Isabelle Kousignian, Ramchandar Gomajee, Katharine Barry, Maria Melchior, Murielle Mary-Krause
Given the importance of sleep in human physiology and the need for public health to find early markers of risk of psychoactive substance use, it is important to investigate further the potential impact of SDs on consumption of tobacco products other than cigarettes. Future research could, for example, use a more objective measures of sleep disturbance such as the use of a medical diagnostic test, or a specific questionnaire, including a sleep diary (e.g., the Sleep Disorders Questionnaire (SDQ; Douglass et al., 1994)). Regarding tobacco use trajectories, it would be interesting to include vaping and use of other tobacco products in addition to cigarette smoking. Polydrug use could be interesting to study as well, as some studies suggested a relationship between SDs in childhood and later alcohol use (Hasler et al., 2016; Roane & Taylor, 2008; Wong et al., 2015).
Consistency of chronotype measurements is affected by sleep quality, gender, longitude, and latitude
Published in Chronobiology International, 2023
Haien Wang, Shuo Wang, Wenqing Yu, Xu Lei
Consistent with prior research, our findings demonstrated a strong agreement between questionnaires and actigraphy measures of chronotype (Santisteban et al. 2018), suggesting the validity of these tools in assessing chronotype. Interestingly, we found that rMEQ has the weakest association with chronotype measured by other tools, likely due to its reliance on time-of-day preferences rather than sleep patterns themselves (Allebrandt and Roenneberg. 2008). The chronotype measured by rMEQ may therefore reflect a stable preference trait rather than specific sleep-wake activity (Bauducco et al. 2020). As an effective chronotype measurement tool, MCTQ placed second to sleep diary for the correlation (r = 0.519) with actigraphy measures in our results. Be that as it may, the application of MCTQ was also limited, such as the correction of sleep debt remains controversial (Levandovski et al. 2013). Our results suggest that the sleep diary may be a better alternative tool. However, the chronotype measured by the sleep diary and actigraphy reflected sleep wake activity over a shorter period (within a week) in this study. Whether it will receive the impact of social schedules and work/free days remains to be explored.
Does cognitive-behavioural therapy improve sleep outcomes in individuals with traumatic brain injury: a scoping review
Published in Brain Injury, 2020
Rebecca Ludwig, Prasanna Vaduvathiriyan, Catherine Siengsukon
Eleven individuals with mild to severe TBI (three mild, five moderate, and three severe) were included in the case series by Ouellet and Morin (35). The individuals participated in 8 weeks of CBT-I sessions with a clinical physiologist. Sleep was assessed using a self-report sleep diary. The total wake time decreased from 128.46 minutes at baseline to 59.29 minutes after treatment and to 49.66 minutes at the 3-month follow-up. Sleep efficiency increased from 77.2% at baseline to 87.99% after treatment and to 90.88% at the 3-month follow-up. Total sleep time increased from 425.68 minutes/night at baseline to 444.43 minutes/night post-treatment, and to 496.72 minutes/night at the 3-month follow-up. Fatigue, depression, anxiety, and beliefs and attitudes about sleep were assessed using self-report questionnaires (Multidimensional Fatigue Inventory, Beck Depression Inventory, Beck Anxiety Inventory, and Dysfunctional Beliefs and Attitudes about Sleep Scale, respectively). There was a significant reduction of fatigue (p < .01) pre- to post-treatment and from pre-treatment to the 3-month follow up (p < .01). Dysfunctional beliefs and attitudes about sleep significantly decreased (p < .01) from pre-treatment to post-treatment and also from pre-treatment to the 3-month follow-up (p < .01). Depression and anxiety scores significantly improved (p = .04) from pre- to post-treatment and from pre-treatment to the 3-month follow-up (p = .04).