• Journal of Convergence for Information Technology
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• v.10 no.11
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• pp.148-155
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• 2020

The purpose of the study was to test the reliability and validity of the Korean version of Pittsburgh Sleep Quality Index (PSQI-K) and to examine the cutoff point of the PSQI-K for screening insomnia among young adults. The subjective quality and patterns of sleep in 64 participants were measured using PSQI-K and Fitbit Charge 3^TM. The properties of the instrument were analyzed using Cronbach's alpha coefficient for the internal consistency reliability, factor analysis for the construct validity, and Spearman's rho correlation coefficient for the correlation between the PSQI-K total scores and Fitbit tracker scores. The Cronbach's alpha coefficient of the PSQI-K was 0.69. The Spearman's rho correlation coefficient between the PSQI-K and Fitbit tracker was higher than 0.67. A cutoff point of ≥6.0 had a sensitivity of 0.93 and a specificity of 0.84. In conclusion, the PSQI-K is a reliable and valid instrument to evaluate sleep disturbance in Korean young adults.

• Journal of Korean Medical Ki-Gong Academy
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• v.15 no.1
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• pp.61-70
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• 2015

Objectives : The purpose of this study is to investigate the effects of Su-Gi therapy for Insomnia by using ISI scores and PSQI test. Methods : We investigated 4 patients on condition of Insomnia who was hospitalized in the M Korean medicine hospital in Gyeonggi Province from 8th June, 2015 to 21st October, 2015. The Su-Gi therapy was treated on patients once a day for 10 minutes. We figured out the outcome by using ISI scores and PSQI test. Results : There were no differences on average sleeping time and the time to falling a sleep. Meaningful outcomes in values of ISI scores and PSQI test was not deduced after Su-Gi therapy. There were some progress on disturbance of daytime due to insomnia, ISI scores and PSQI test. In the Correlation analysis of outcomes of before and after the Su-Gi therapy, there were some improvements on ISI scores and PSQI tests and some questionnaire but were not enough to reach meaningful outcomes. We concluded that the more treatment time is needed to improve the condition of patients on insomnia as we see in PSQI test, one month is minimum period time to draw the conclusion. Conclusions : Theses outcomes suggest a possibilities that improvements who are suffering from insomnia can be get well when the Su-Gi therapy is performed for sufficient moments.

• Sleep Medicine and Psychophysiology
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• v.24 no.2
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• pp.97-105
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• 2017

Objectives: To evaluate sleep characteristics and factors associated with sleep disturbance in schizophrenia patients with concurrent active psychotic symptoms and insomnia. Methods: Schizophrenia patients with insomnia and active psychotic symptoms (n = 63) were recruited from community-based mental rehabilitative facilities. Sleep scales such as the Korean version of the Insomnia Severity Index (ISI-K) and the Korean Version of the Pittsburgh Sleep Quality Index (PSQI-K) were evaluated and those with ISI-K >15 were included in the study. Psychotic, anxiety and depressive symptoms were rated with the Brief Psychotic Rating Scale (BPRS), the Korean Version of the Anxiety Sensitivity Index (K-ASI), and the Korean Version of the Beck Depression Inventory-I (K-BDI), respectively. Pearson correlation analyses were performed between the sociodemographic data, ISI-K and PSQI-K. Multiple linear regression analysis was conducted to investigate the factors which affected the ISI-K and PSQI-K. Results: The mean ISI-K and PSQI-K scores were $18.1{\pm}2.6$ and $12.0{\pm}2.2$, respectively. Pearson correlation analysis showed a negative correlation between age of onset and ISI-K score and positive correlations between BRPS and PSQI-K scores and between K-ASI and both ISI-K and PSQI-K scores. Multiple regression analyses for both ISI-K and PSQI-K with K-ASI, age of onset, and BPRS as covariates revealed K-ASI as the only significant remaining factor. Conclusion: Our study suggests that anxiety symptoms are associated with insomnia symptoms in schizophrenia patients regardless of depressive or psychotic symptoms.

• Journal of Oriental Neuropsychiatry
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• v.20 no.3
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• pp.89-119
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• 2009

Objectives : This study was to investigate the association of Pittsburgh Sleep Quality Index(PSQI), Insomnia Questionaire(IQ), Beck Depression Inventory(BDI) and Diagnos system of oriental medicine(DSOM) in the Insomnia Patients. Methods : For this study, we carried out PSQI, IQ, BDI and DSOM of 37 patients with insomnia who have come to Donguei oriental hospital of Donguei university from November 2008 to May 2009. And Using cross tabulation analysis, verified the association of PSQI, IQ, BDI and DSOM. Results : 1. The most Frequent Pathogenic Factor is blood-deficiency(血虛) in total patients. 2. The score of BDI has positive correlation with sc10 of deficiency of qi(氣虛), damp(濕), kdney(腎) in total patients. 3. The score of PSQI has positive correlation with zp of liver(肝) in total patients. 4. The score of PSQI has positive correlation with sc10 and zp of insufficiency of Yin(陰虛), and the score of BDI has positive correlation with sc10 of blood stasis(血瘀) and zp of liver(肝) in female patients. 5. The score of PSQI has positive correlation with sc10 of deficiency of qi(氣虛) and zp of heart(心), and the score of IQ has positive correlation with sc10 of liver(肝) in male patients. 6. The duration from onset in the group of 22-59years are longer than the group of 60-80 years and the duration of using hypnotics have positive correlation with total sleep time in 22-59years group. 7. The score of PSQI has positive correlation with zp of liver(肝) in 22-59years group. 8. The score of PSQI has positive correlation with the score of BDI in 60-80years group. 9. The score of BDI has positive correlation with sc10 of deficiency of qi(氣虛) and zp of blood-deficiency(血虛), and the score of IQ has positive correlation with zp of coldness(寒) in 60-80years group. 10. The score of IQ has positive correlation with sc10 and zp of dryness(燥) in below 6 Months Group. 11. The score of PSQI has positive correlation with the score of BDI in over 6 Months Group. 12. The score of PSQI has positive correlation with zp of liver(肝) in over 6 Months Group. 13. The score of IQ has positive correlation with sc10 of dryness(燥) in BDI 2nd Grade Group. 14. The score of BDI has positive correlation with sc10 of kidney(腎) and the age has positive correlation with zp of heart(心) in BDI 3rd Grade Group. 15. The age has positive correlation with sc10 of damp(濕) in BDI 4th Grade Group. Conclusions : This study provides insights into the complicated associations of the pattern of insomnia with depression and Diagnos system of oriental medicine. And especially this study showed apparent correlation between insomnia and depression in 60-80years group and over 6 months group.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.6
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• pp.2795-2801
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• 2013

It is judged that there has to be study on bad quality of sleep along with state which university students undergo because of anxiety of finding employment and uncertain future. So 272 students' life style were measured. This study is based on Alameda 7. Also PSQI questionnaire was used to measure the quality of sleep. The results were that in the case of smoking, PSQI was 6.97, drinking 6.49, drinking coffee 7.53, nutritive conditions 6.49 and napping 6.25. These results show that smoking, drinking, drinking coffee, state of supplying nutritions and napping lower quality of sleep. Lastly, health education has to strive for promotion of university students' health and enrich quality of sleep allowing students to lead their healthy university lives.

• The Korean Journal of Pain
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• v.35 no.1
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• pp.78-85
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• 2022

Background: The current pandemic has affected people's health multidimensionally. This study aims to investigate musculoskeletal pain, sleep quality, depression levels, and their relationships in individuals belonging to different age groups during COVID-19 in Turkey. Methods: A web-based self-administered survey that consisted of demographic questions, The Beck Depression Inventory (BDI), Pittsburgh Sleep Quality Index (PSQI), and scores of musculoskeletal pain was sent to participants. Pearson correlation analysis was used for determining the statistical relationship between variables. Results: The study includes 1,778 participants. The highest percentage for mild, moderate, and severe pain was in the head (49.8%), back (15.5%), and head (11.5%), respectively. The PSQI-total had shown a weak correlation with pain levels in all body parts. The highest correlation for sleep quality and pain levels was between the PSQI-5 and lower back pain. There was a weak correlation between PSQI-2 and the BDI score, and a moderate correlation between the PSQI-1, PSQI-5, PSQI-7, PSQI-total, and BDI score. Pain in all body parts showed a weak correlation with depression level. Conclusions: This study showed that musculoskeletal pain was varied in body parts with different intensities according to age groups in Turkey during the pandemic. The most common pain was in the head, back, and lower back. Headache was found correlated with the parameters of sleep quality. Pain of the head, neck, back, lower back, and shoulder were correlated with sleep latency. Sleep quality was associated with depression and musculoskeletal pain, while musculoskeletal pain was correlated with depression.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.10
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• pp.4467-4474
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• 2011

The purpose of this study was to examine the factor of the quality of elderly women's sleep. The subjects in this study were 198 elderly women who were at the age of 60 and up. One instrument used to assess their quality of sleep was Buysse, et. al.(1989)'s Pittsburgh Sleep Quality Index(PSQI), and the other used to check their urinary incontinence was Jackson, et. al.(1996)'s Urination Symptom Inventory. The collected data were analyzed by the statistical package SPSS 18.0. The elderly women got $7.09{\pm}4.29$ in the quality of sleep of the PSQI, and 67.7 percent suffered from sleep disorders. Among the subfactors of the PSQI, their subjective quality of sleep was low, and the quality of sleep during, sleep latency was low as well. And their sleep disturbance was great. In contrast, the effectiveness of their habitual sleep was relatively good, and they didn't take medicine such as a sleep pill a lot, and their functional sleep disorder in the daytime wasn't great. There were differences in the quality of sleep according to their education, financial state, self-rated health status and family relations, and whether they worked out on a regular basis or not made a difference to that as well. No differences were found according to age, religion, occupation and having a coffee or not. There was a positive correlation between their quality of sleep in the PSQI and urinary incontinence(r=.51, p=.000). Out of the subfactors of the PSQI, the sleep disturbance factor was most closely linked to urinary incontinence(r=.465, p=.001). Finally, urinary incontinence and subjective health status were identified as the variables that exerted a statistically significant influence on the quality of sleep. Those variables made a 31% prediction of it.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.25 no.4
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• pp.566-572
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• 2015

Objectives: The major objective of this study was to analyze insomnia after the change to consecutive day shift from day and night shift in a motor assembly factory. Materials: Data were collected at before and after shift system change through a survey conducted by a labor union. We analyzed transition of PSQI(Pittsburgh Sleep Quality Index) among 222 workers by separating the day shift week and night shift week. The cut-off point of insomnia was 8.5 on the PSQI. Results: Mean PSQI in the day shift week significantly did not decrease, going from $6.36{\pm}3.23$ to $6.46{\pm}3.00$(p=0.612 by paired t-test), Mean PSQI for night shift week significantly decreased from $8.31{\pm}3.36$ to $6.19{\pm}3.18$(p<0.001 by paired t-test). However, mean PSQI in the day shift week increased from $6.33{\pm}3.83$ to $7.11{\pm}2.86$ in ${\geq}50$ years(p=0.085, by repeated measured ANOVA). Mean PSQI score in the night shift week improved more in the married group(from $8.38{\pm}3.27$ to $6.12{\pm}3.18$) than in the non-married group(from $7.82{\pm}3.27$ to $6.12{\pm}3.18$)(p=0.038, by repeated measured ANOVA). Conclusions: The change to consecutive day shift improved insomnia in night shift. However, insomnia in the day shift week was worsened among those more than 50 years old.

• The Journal of Korean Physical Therapy
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• v.34 no.1
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• pp.18-25
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• 2022

Purpose: The purpose of this study was to identify changes in physical activity, sleep quality, and quality of life (QOL) during COVID-19 in adults by age group. Methods: An online survey was conducted on a total of 160 participants who were divided into three groups by age; young adults, middle-aged adults, and old adults. The participants responded to the self-reported assessment of the impact of social distancing during COVID-19, International Physical Activity Questionnaire (IPAQ), Pittsburgh Sleep Quality Index (PSQI), and Short Form-36 Health Survey (SF36). Descriptive statistics, analysis of variance, and Pearson's correlation were used for data analysis. Results: There were significant differences between the three age groups in physical activity (p<0.05) and PSQI (p<0.01) and a post hoc analysis showed that the young adults' group had significantly higher physical activity than the old adults' group, while the old adults' group had significantly lower scores of PSQI (better sleep quality) than the others. The young adults' group showed a significant negative correlation between the stress from social distancing and QOL (r=-0.27, p<0.05) and between PSQI and QOL (r=-0.48, p<0.05). For the middle-aged adults' group, there was a significant negative correlation between PSQI and QOL (r=-0.53, p<0.05). The old adults' group showed a significant negative correlation between the stress from social distancing and physical activity (r=-0.35, p<0.05) and PSQI (r=-0.50, p<0.05), while there was a significant positive correlation between physical activity and PSQI (r=0.30, p<0.05) and QOL (r=0.30, p<0.05). Conclusion: The results of this study could be used as basic data for the promotion of physical and mental health in the post-COVID-19 era.

• Child Health Nursing Research
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• v.26 no.1
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• pp.55-63
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• 2020

Purpose: The purpose of this study was to evaluate the current level of sleep quality among Korean middle-school students using the Pittsburg Sleep Quality Index (PSQI), and to analyze the factors influencing sleep quality. Methods: The study used a descriptive cross-sectional design and a self-report questionnaire. The participants were 744 middle-school students. The questionnaire included the PSQI and health-related questions, such as the types of diseases they had been diagnosed with and the frequency of hospital admissions. The data were analyzed using the independent t-test, analysis of variance, Pearson correlation coefficients, and linear multiple regression. Results: The global PSQI score was 4.21, which indicated good sleep quality. The major factors that were associated with the sleep quality of middle-school students were the number of diseases they had been diagnosed with (β=.54, p=.001) and atopic dermatitis (β=.32, p=.001). In addition, asthma and the frequency of hospital admissions were significant factors influencing each component of the PSQI. Conclusion: The findings from this study suggest that sleep quality was associated with several health-related factors. Thus, nurses, school nurses, and nursing researchers may need to assess the health-related factors associated with adolescents' sleep quality as part of efforts to improve their sleep quality.