Purpose: The purpose of this exploratory study was to find a specific time of day with a stable cortisol level and to investigate the relationship between salivary cortisol and sleep. Methods: A total of 36 Korean female college students participated in the study. Salivary specimens were collected 6 times a day for 2 days in different stressful situations. Sleep characteristics were measured using an actigraph while salivary specimens were collected. Perceived stress was evaluated using the Global Assessment of Recent Stress. Results: Depending on whether there were morning peak and/or afternoon elevations in the cortisol levels, the type of diurnal cortisol pattern was classified into 4 types. None of the cortisol levels in different times of the day showed significant relationships to perceived stress levels. Cortisol levels in the morning, levels of peak cortisol and diurnal differences of cortisol were significantly correlated with sleep duration. The time with most stable cortisol level was 9-10 pm. Conclusion: It is recommended that measurements of salivary cortisol are taken from 9-10 pm since it showed a stable value regardless of diurnal cortisol rhythm and sleep. Sleep duration should be considered as an important confounding factor in measuring cortisol levels in the morning and the diurnal differences of cortisol.
Purpose: The study compared the rest-activity rhythm and sleep pattern of elderly with young group. Methods: The subjects were 22 over than 65 years old and 23 under 65 years old. An actigraph, sleep diary, Pittsburgh Sleep Quality Index and Insomnia Severity Index scale were used as measurement tools for this study. The data were analyzed with $x^2$, Lamda test, t-test and correlation with SPSS 15.0 program. Results: The elderly had lower curve than the young group in rest-activity rhythm on each time zone. In particular, the elderly group had lower rest-activity rhythm curve of 8, 9, 14, 18, 19, 20, 21, 22 and 23 time zone than those of young group. Sleep pattern had statistical difference in the total sleep time, PSQI and insomnia. Total sleep time of elderly had lower score and PSQI and Insomnia had higher score than young group. Age had correlation with rest-activity rhythm, sleep efficiency, PSQI and insomnia. Conclusion: Rest-activity rhythm of the elderly showed an increase in activity in the early morning because of earlier get up than the young group and an decrease in activity in the afternoon because of taking a nap at this time. Elderly sleep was that total sleep time increased but sleep efficiency decreased and insomnia intensified. This sleep pattern was related to age and rest-activity rhythm.
Purpose: This study was done to identify correlates and variables predicting daily activity among elders with Diabetes Mellitus (DM). Methods: Seventy-six elders registered in the Department of Endocrine Medicine at C university hospital participated in data collection. Data on daily activity and biochemical variables were collected via actigraph accelerator (Actical) and blood tests between September 2009 and July 2010. Data analysis was done using SPSS WIN 15.0 program and included one-way ANOVA, independent t-test, Pearson correlation coefficients, and stepwise multiple regression. Results: This study showed a positive correlation between daily activity and High Density Lipoprotein Cholesterol (HDL-C) and a negative correlation among Total Cholesterol (TC), Triglyceride (TG), and Low Density Lipoprotein Cholesterol (LDL-C). The variables predicting daily activity were frequency of exercise, HDL-C, and TC. These factors accounted for 40.0% of the variance of daily activity in elders with DM. Conclusion: The results indicate that it is necessary to improve daily activity to reduce Fasting Blood Glucose (FBG), TC, and TG in elders with DM.
This study was carried out to verify the accuracy of fitness tracking devices in monitoring heart rate and energy consumption and to contribute to the development of a forest exercise program that can recommend the intensity and amount of forest exercises based on personal health-related data and provide monitoring and feedback on forest exercises. Among several commercially available wearable devices, Fitbit was selected for the research, as it provides Open API and data collected by Fitbit can be utilized by third parties to develop programs. Fitbit provides users with various information collected during forest exercises including exercise time and distance, heart rate, energy consumption, as well as the altitude and slope of forests collected by GPS. However, in order to verify the usability of the heart rate and energy consumption data collected by Fitbit in forest, the accuracy of heart rate and energy consumption were verified by comparing the data collected by Fitbit and reference. In this study, 13 middle-aged women were participated, and it was found that the heart rate measured by Fitbit showed a very low error rate and high correlation with that measured by the reference. The energy consumption measured by Fitbit was not significantly different from that measured in the reference, but the error rate was slightly higher. However, there was high correlation between the results measured by Fibit and the reference, therefore, it can be concluded that Fitbit can be utilized in developing actual forest exercise programs.
Kim, Choun-sub;Kim, Maengkyu;Kim, Min-ju;Jung, Hyeyoung
Nutrition Research and Practice
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제14권6호
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pp.606-620
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2020
BACKGROUND/OBJECTIVES: Although some juices affect subjective sleep quality, there is a lack of information on the effect of a specific juice on objective sleep quality and heart rate variability (HRV) during sleep; thus the present study investigated whether a blended juice made from natural extracts influenced sleep quality and HRV during sleep in adults with disturbed sleep. SUBJECTS/METHODS: A randomized, crossover study was conducted on twenty-five adults (15/10, female/male) complaining of difficulty initiating or maintaining nighttime sleep (Pittsburgh sleep quality index [PSQI] ≥ 5). During feeding sessions (FS), subjects received sleep-inducing juice made of natural ingredients (250 mL/trial) twice a day for 8 weeks or non-FS (N-FS) for 8 weeks while maintaining normal activities. Sleep quality and parameters were recorded via wearable actigraph for 7 consecutive days, and PSQI scores were assessed before and after the intervention. HRV was also monitored at rest and during sleep. RESULTS: After receiving the sleep-inducing juice intervention (FS), PSQI scores were significantly decreased (P < 0.001) and correlated with a significant decline in fatigue severity scale and visual analogue scale levels (P < 0.05; both). HRV indices of vagal activity were significantly improved during FS (P < 0.05), and no significant differences in N-FS were observed. Sleep efficiency and total sleep time increased significantly (P < 0.05) and sleep latency, total counts, sleep fragmentation index, and movement index, decreased significantly (P < 0.05, all 4) during FS, with no significant differences-observed during N-FS. CONCLUSIONS: This study results demonstrated that an 8-week course of sleep-inducing juice has led to improve sleep quality, suggesting an enhanced cardiac vagal tone during sleep. Thus, it could be a well-tolerated option for adults with disturbed sleep.
Purpose: This study was conducted to describe the effects of aroma inhalation on sleep and fatigue in night shift nurses. Methods: The research design was one group pre-posttest design. The subjects were 17 night shift nurses who work at neurosurgery intensive care unit of K hospital of C university in Seoul. During three consequent night shifts, the participants were worn the Actigraph to measure the sleep pattern on their wrist since their first night shift work. The quality of sleep and fatigue was measured by survey when they awoke at 6 pm after second night shift work. And these measures were repeated during the night shifts in second and third week. Aroma inhalation was applied before going to bed after finishing each night shift work during second and third week. SPSS 12.0 program was used for data analysis. Results: There were no statistically significant differences in sleep latency and total sleeping time. However, significant differences were found in the sleep efficiency, awakening number, sleep quality, subjective symptom and intensity of fatigue. Conclusion: These results showed that aroma inhalation had positive effects on the pattern and quality of sleep and reducing fatigue in night shift nurses.
Purpose: This study was an experimental study to compare the inhalation effects of aroma essential oil on the quality of sleep (QOS) for shift nurses after working nights. Methods: The participants were 60 healthy adults who didn't have any disease. As an experimental treatment, the participants in the experimental group were asked to inhale essential oil for 3 minutes at a distance of approximately 10 cm from their nose and then they were asked to sleep with the aroma stone beside their head (within a 30 cm distance). QOS were measured four times on Pretest, Day 1, Day 2, and Day 3 after they slept. To measure QOS, Perceived QOS (Numeric Rating Scale), the Verran & Synder-Halpern (VSH) Sleep Scale were used, and number of awakenings (NoA) was measured by Actigraph. Results: There were no significant differences in the homogeneity tests for general characteristics and dependent variables prior to the experiments, except for VSH of subjective sleep quality. Also, there was no significant interaction between group and time. The VSH of the experimental group was higher than the control group (F=6.39, p=.002). The NoA between the experimental group and the control group was significantly different after experimental treatment 3rd day (F=13.35, p=.001). Conclusion: The findings show that the inhalation of aroma essential oil had effects to increase the quality of sleep. Therefore, the inhalation of aroma essential oil could be applied to general nursing interventions to improve the quality of sleep.
Purpose: This study aimed to examine premenstrual symptoms (PMS) of shift nurses and identify the association between PMS, sleep, and occupational stress. Methods: This study was conducted with a secondary data analysis that used data from the Shift Work Nurse's Health and Turnover study. The participants were 258 nurses who were working in shifts including night shifts. PMS, sleep patterns (sleep time and sleep time variability), sleep quality, and the occupational stress of each participant were measured using the Moos Menstrual Distress Questionnaire, a sleep diary, an actigraph, the Insomnia Severity Index, and the Korean Occupational Stress Scale, respectively. Data were analyzed using SPSS 23 and STATA 15.1 to obtain descriptive statistics, Pearson's correlation coefficients, multiple linear regression with generalized estimating equations (GEE) and Baron and Kenny's mediating analysis. Results: The average PMS score, average sleep time, average sleep time variability, average sleep quality score, and average occupational stress score of the participants was 53.95 ± 40.45, 7.52 ± 0.89 hours, 32.84 ± 8.43%, 12.34 ± 5.95, and 49.89 ± 8.98, respectively. A multiple linear regression analysis with GEE indicated that sleep time variability (B = 0.86, p = .001), and sleep quality (B = 2.36, p < .001) had negative effects on nurses' PMS. We also found that sleep quality had a complete mediating effect in the relationship between occupational stress and PMS. Conclusion: These findings indicate that both sleep time variability and sleep quality are important factors associated with PMS among shift work nurses. To improve shift nurses' PMS status, strategies are urgently needed to decrease sleep time variability and increase sleep quality.
The purpose of this study was to assess the physical activity of preschool children using an accelerometer and investigate differences related to epoch length setting during use of the accelerometer. Subjects of the study were 26 children (12 boys and 14 girls) at the age of 5, enrolled in one preschool located in Gangneung. From 9:00 a.m. to 4:00 p.m. (7 hours period), every child wore a total of four accelerometers (ActiGraph $GT3X^+$, USA), including three attached to the left hip (with epoch length set at 5 seconds, 15 seconds, and 30 seconds). For comparison purposes, a forth was attached to the opposite position, with epoch length set at 5 seconds. Data collected using 15s epoch and 30s epoch (single larger epoch) were compared with those obtained after reintegration of 5s to 15s epoch, 5s to 30s epoch, and 15s to 30s epoch, respectively (smaller epochs reintegrated). According to the results of this study, there were no significant differences in VM between 30s epoch and 5s to 30s epoch reintegrated and in MVPA (moderate-to-vigorous physical activity), between 15s epoch and 5s to 15s epoch reintegrated. From the Bland-Altman plot, reintegration of 15s to 30s epoch in VM and reintegrations of 15s to 30s epoch and 5s to 15s epoch in MVPA can be recommended for assessing physical activity in preschool children. Further research is needed into the reintegration method while using an accelerometer for assessment of energy expenditure in children.
Seah, Benjamin Zhi Qiang;Gan, Wee Hoe;Wong, Sheau Hwa;Lim, Mei Ann;Goh, Poh Hui;Singh, Jarnail;Koh, David Soo Quee
Safety and Health at Work
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제12권4호
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pp.462-470
/
2021
Background: Fatigue is pervasive, under-reported, and potentially deadly where flight operations are concerned. The aviation industry appears to lack a standardized, practical, and easily replicable protocol for fatigue risk assessment which can be consistently applied across operators. Aim: Our paper sought to present a framework, supported by real-world data with subjective and objective parameters, to monitor aircrew fatigue and performance, and to determine the safe crew configuration for commercial airline operations. Methods: Our protocol identified risk factors for fatigue-induced performance degradation as triggers for fatigue risk and performance assessment. Using both subjective and objective measurements of sleep, fatigue, and performance in the form of instruments such as the Karolinska Sleepiness Scale, Samn-Perelli Crew Status Check, Psychomotor Vigilance Task, sleep logs, and a wearable actigraph for sleep log correlation and sleep duration and quality charting, a workflow flagging fatigue-prone flight operations for risk mitigation was developed and trialed. Results: In an operational study aimed at occupational assessment of fatigue and performance in airline pilots on a three-men crew versus a four-men crew for a long-haul flight, we affirmed the technical feasibility of our proposed framework and approach, the validity of the battery of assessment instruments, and the meaningful interpretation of fatigue and work performance indicators to enable the formulation of safe work recommendations. Conclusion: A standardized occupational assessment protocol like ours is useful to achieve consistency and objectivity in the occupational assessment of fatigue and work performance.
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