• Journal of The Korean Society of Integrative Medicine
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• v.5 no.4
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• pp.67-76
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• 2017

Purpose : The purpose of this study was to understand the correlations between life stress, sleep quality, and mental health in nursing college students. Method : This study was conducted on 315 nursing college students in B City between April 1stand30th, 2017. The collected data were processed using SPSS 22.0 and were analyzed using means, standard deviations, t-tests, an ANOVA, Scheffe's test, and Pearson's correlation coefficient. Results : Nursing college students showed means of $2.36{\pm}0.54$ points in life stress, $1.03{\pm}0.41$ points in sleep quality, and $2.95{\pm}0.57$ points in mental health. The analysis of correlations between life stress, sleep quality, and mental health in nursing college students showed a statistically significant positive correlation between life stress and sleep quality (r = .432, p < .001). In addition, statistically significant negative correlations were found between life stress and mental health (r = -.589, p < .001) as well as between mental health and sleep quality (r = -.301, p < .001). Discussion : Replication studies with larger numbers of subjects are required. Based on the present study, systematic studies on factors affecting life stress, sleep quality, and mental health are also necessary. Moreover, programs should be developed to reduce life stress as well as improve sleep quality and mental health.

• Journal of Korean Academy of Nursing
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• v.50 no.4
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• pp.631-640
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• 2020

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.

• Journal of East-West Nursing Research
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• v.21 no.1
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• pp.69-77
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• 2015

Purpose: The purpose of this study was to investigate the variance of sleep quality and factors affecting sleep disturbance among patients with percutaneous coronary angiography in a general hospital. Methods: The subjects of this study was comprised of 101 patients with percutaneous coronary angiography in a general hospital located in B city. Data were collected by a structured questionnaire from November to December 2013. The data were analyzed with descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient and stepwise multiple regression. Results: The levels of the participants' sleep quality and sleep disturbance were 4.35 and 5.91 in order of each out of the total score, 10. There was no significant difference in the quality of sleep between intensive care unit and internal medicine unit. Factors influencing sleep quality were 'uncomfortable bed, gown and pillow'(${\beta}=-.279$, p=.003), 'living alone'(${\beta}=-.273$, p=.003), and 'toilet problem' (${\beta}=-.222$, p=.016), which explained 21.5% of the variance (F=10.03, p<.001). Conclusion: The results of this study will provide a basis for improving the sleep quality of patients with percutaneous coronary angiography.

• Human Ecology Research
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• v.57 no.2
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• pp.281-293
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• 2019

This study aimed to examine the effects of socially prescribed perfectionism, sleep duration, and sleep quality on suicidal ideation in Korean high school students and to investigate if sleep duration and quality moderated the relationship between socially prescribed perfectionism and suicidal ideation. The participants of this study were 840 students (544 boys and 296 girls) from six high schools located in Seoul and Gyeonggi-do. The Suicidal Ideation Questionnaire (Reynolds, 1988) was used to measure suicidal ideation. And the socially prescribed perfectionism was assessed by the Multidimensional Perfectionism Scale (Hewitt & Flett, 1991). The students were asked to respond to a question regarding how long they slept a day as well as the Sleep Quality Scale (Yi, 2005). The data were analyzed with descriptive statistics and hierarchical regressions. The moderating effect of sleep duration and quality were investigated using the analysis procedures proposed by Baron and Kenny (1986). The results showed that the level of socially prescribed perfectionism and sleep quality increased the level of suicidal ideation. In addition, sleep quality moderated the relationship between socially prescribed perfectionism and suicidal ideation. The effect of socially prescribed perfectionism on suicidal ideation was greater when sleep quality was poor, compared to when it was good.

• Safety and Health at Work
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• v.7 no.2
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• pp.111-119
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• 2016

Background: Shift work and/or sleep quality may affect health. We investigated whether shift work and sleep quality, separately and jointly, were associated with abnormal levels of triglycerides, total cholesterol (TC), and low-and high-density lipoprotein cholesterol in 360 police officers (27.5% women). Methods: Triglycerides, TC, and high-density lipoprotein were analyzed on the Abbott Architect; low-density lipoprotein was calculated. Shift work was assessed using City of Buffalo payroll work history records. Sleep quality (good, ${\leq}5$; intermediate, 6-8; poor, ${\geq}9$) was assessed using the Pittsburgh Sleep Quality Index questionnaire. A shift work + sleep quality variable was created: day plus good sleep; day plus poor sleep; afternoon/night plus good; and poor sleep quality. Mean values of lipid biomarkers were compared across categories of the exposures using analysis of variance/analysis of covariance. Results: Shift work was not significantly associated with lipids. However, as sleep quality worsened, mean levels of triglycerides and TC gradually increased but only among female officers (age- and race-adjusted p = 0.013 and 0.030, respectively). Age significantly modified the association between sleep quality and TC. Among officers ${\geq}40$ years old, those reporting poor sleep quality had a significantly higher mean level of TC ($202.9{\pm}3.7mg/dL$) compared with those reporting good sleep quality ($190.6{\pm}4.0mg/dL$) (gender- and race-adjusted p = 0.010). Female officers who worked the day shift and also reported good sleep quality had the lowest mean level of TC compared with women in the other three categories (p = 0.014). Conclusion: Sleep quality and its combined influence with shift work may play a role in the alteration of some lipid measures.

• The Journal of the Korea Contents Association
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• v.22 no.8
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• pp.640-647
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• 2022

The purpose of this study was to investigate the factors influencing sleep quality of nursing students, focusing on depression, smartphone usage before sleep, and academic score. Among nursing students in the 3rd and 4th grades of two universities, 196 subjects were randomly selected. Data were collected from April to July 2021 using tool of sleep quality(PSQI-K), depression(Korean BDI-II), and smartphone usage before sleep, and the effect on sleep quality was analyzed through Stepwise Multiple Regression Analysis. As a result of the study, two factors, depression and smartphone usage before sleep, had 39.0% explanatory power for the sleep quality of nursing students, and were statistically significant. That is, the higher the depression level and the more frequent smartphone usage before sleep, the worse the sleep quality level. However, academic score was not a significant variable. In conclusion, in order to improve the sleep quality of nursing students, it is necessary to reduce the pattern of sleep disorders related to depression and to correct the lifestyle by reducing smartphone usage before sleep.

• Journal of Society of Preventive Korean Medicine
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• v.28 no.1
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• pp.109-118
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• 2024

Objectives : This study aimed to investigate the relationship between cold feet and sleep quality using polysomnography (PSG) and Pittsburgh Sleep Quality Index (PSQI). Methods : We divided 11 adults (6 females, 5 males) with Insomnia Severity Index score below 21 into cold feet (CF) and a non-cold feet (NCF) group based on the median feet temperature (Taichong, LR3). PSG and PSQI were administered to assess sleep characteristics and subjective sleep quality. Results : CF group exhibited significantly lower time in bed, sleep period time, and total sleep time compared to NCF group. While there were no significant group differences in sleep latency, wakefulness after sleep onset, or total arousal index, NCF group had significantly lower minimum oxygen saturation and apnea-hypopnea index in REM (rapid eye movement) sleep compared to CF group. Although the PSQI score and the proportion of poor sleepers were both higher in the CF group (7.40 and 80%) compared to the NCF group (5.50 and 50%), these differences did not reach statistical significance. Conclusions : This study showed that foot temperature affects sleep characteristics and suggests the need to utilize PSG in sleep research in Korean medicine.

• Journal of Preventive Medicine and Public Health
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• v.54 no.5
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• pp.317-329
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• 2021

Objectives: The aim of this study was to identify the association between cohabitation status and sleep quality in family members of people with dementia (PwDs). Methods: Data of 190 365 participants aged ≥19 years from the 2018 Korea Community Health Survey were analyzed. Participants were categorized according to their cohabitation status with PwDs. Multiple logistic regression and ordinal logistic regression analyses were performed to evaluate the relationship between the cohabitation status of PwDs' relatives and sleep quality measured using the Pittsburgh Sleep Quality Index (PSQI) and PSQI subscales. Results: Compared to participants without PwDs in their families, both cohabitation and non-cohabitation with PwDs were associated with poor sleep quality (cohabitation, male: odds ratio [OR],1.28; 95% confidence interval [CI], 1.08 to 1.52; female: OR, 1.40; 95% CI, 1.20 to 1.64; non-cohabitation, male: OR, 1.14; 95% CI, 1.05 to 1.24; female: OR, 1.23; 95% CI, 1.14 to 1.33). In a subgroup analysis, non-cohabiting family members showed the highest odds of experiencing poor sleep quality when the PwD lived alone (male: OR, 1.48; 95% CI, 1.14 to 1.91; female: OR, 1.58; 95% CI, 1.24 to 2.01). Cohabiting male and female participants had higher odds of poor subjective sleep quality and use of sleeping medications than non-cohabiting male and female participants, respectively. Conclusions: The residence of PwDs and cohabitation status may contribute to poor sleep quality among PwDs' family members. The circumstances faced by cohabiting and non-cohabiting family members should be considered when evaluating sleep quality in family members of PwDs, and appropriate interventions may be needed to improve sleep quality in both cohabiting and non-cohabiting family members.

• Korean Journal of Health Education and Promotion
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• v.27 no.3
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• pp.67-74
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• 2010

Objectives: This study aims to identify the effect between high school students' recognition of mental health on sleep quality to present basic data for better health. Methods: The study used data obtained through the 2007 online research on adolescents' health behaviors, targeting a total of 35,228 high school students (18,628 of male students and 16,600 of female students). Results: Seventy six point ninety six percent of the male respondents and 79.67% of female respondents answered their sleep quality was not satisfactory. The subjects who had stress showed significantly lower quality of sleep than those who answered they had no stress. For female students, those who answered they had intention to suicide had significantly lower quality of sleep than those who answered they did not have, but for male students, there was no significant relations between them. There were no significant relations between sense of dispair and sleep quality both for male and female subjects. Conclusion: Factors of mental health related with sleep quality were stress and intention of suicide. The more they had stress and intention of suicide, the significantly lower sleep quality was. Therefore, in order to improve sleep quality of high school students, it is suggested that management programs based on education and counselling with experts should be provided and further studies on other mental health factors and sleep quality should be conducted.

• Korean Journal of Community Nutrition
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• v.24 no.5
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• pp.395-407
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• 2019

Objectives: This study examined the association of the sleep quality and patterns with the dietary behavior, including snack and beverage consumption, taste preferences, as well as lifestyle of university students. Methods: The subjects were 406 university students in Cheongju, Korea, and the data were collected using a self-administered questionnaire. They were divided into two groups according to the Pittsburgh Sleep Quality Index (PSQI): good-quality sleepers (PSQI score ≤ 5) and poor-quality sleepers (PSQI score > 5). The data were analyzed using a χ²-test, independent t-test, and analysis of covariance using the SPSS 25.0 program. Results: Fifty-two percent of university students were categorized as poor-quality sleepers by the PSQI. Students classified as poor-quality sleepers had delayed bedtimes, and a shorter duration in bed and total sleep hours than the good-quality sleepers did. Poor-quality sleepers were more prevalent among those who were female, having irregular mealtimes, or frequent late night meals. They also consumed fast food frequently, such as fried chicken and hamburgers, and noodles when adjusted for gender. In addition, drinks with caffeine over milk were dominant among poor-quality sleepers. Furthermore, the preferences for spicy and salty tastes and longer smartphone usage were more prevalent in those with poor-sleep quality. Conclusions: These results showed that more than 50% of university students reported disturbed sleep and poor quality sleep was associated with less desirable snack consumption and taste preference, more smartphone usage, and others. Therefore, nutrition education program along with lifestyle changes promoting sufficient sleep are encouraged to provide for university students, particularly those who have poor sleep quality.