• Journal of Preventive Medicine and Public Health
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• v.56 no.4
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• pp.319-326
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• 2023

Objectives: The coronavirus disease 2019 (COVID-19) pandemic has increased the workload of healthcare workers (HCWs), impacting their health. This study aimed to assess sleep quality using the Pittsburgh Sleep Quality Index (PSQI) and identify factors associated with poor sleep among HCWs in Vietnam during the COVID-19 pandemic. Methods: In this cross-sectional study, 1000 frontline HCWs were recruited from various healthcare facilities in Vietnam between October 2021 and November 2021. Data were collected using a 3-part self-administered questionnaire, which covered demographics, sleep quality, and factors related to poor sleep. Poor sleep quality was defined as a total PSQI score of 5 or higher. Results: Participants' mean age was 33.20±6.81 years (range, 20.0-61.0), and 63.0% were women. The median work experience was 8.54±6.30 years. Approximately 6.3% had chronic comorbidities, such as hypertension and diabetes mellitus. About 59.5% were directly responsible for patient care and treatment, while 7.1% worked in tracing and sampling. A total of 73.8% reported poor sleep quality. Multivariate logistic regression revealed significant associations between poor sleep quality and the presence of chronic comorbidities (odds ratio [OR], 2.34; 95% confidence interval [CI], 1.17 to 5.24), being a frontline HCW directly involved in patient care and treatment (OR, 1.59; 95% CI, 1.16 to 2.16), increased working hours (OR, 1.84; 95% CI,1.37 to 2.48), and a higher frequency of encountering critically ill and dying patients (OR, 1.42; 95% CI, 1.03 to 1.95). Conclusions: The high prevalence of poor sleep among HCWs in Vietnam during the COVID-19 pandemic was similar to that in other countries. Working conditions should be adjusted to improve sleep quality among this population.

• Journal of Oral Medicine and Pain
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• v.33 no.4
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• pp.375-382
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• 2008

This study was a preliminary study to establish diagnostic criterias and treatment for Orofacial Movement Disorders. The 33 Orofacial Movement Disorder patients who were visited in the department of Oral Medicine from September, 2007 to December, 2007 were selected for this study. We analyzed the age, sex, systemic diseases, the diagnosis and the cause of the patients' chief complaints, the self-consciousness and the types of orofacial movements. The obtained results were as follows : 1. Female were predominant in orofacial movement disorders(81.82% vs 18.18%) and mean age was 78.78(56 to 87) years. 2. They almost had systemic diseases(81.82%). Hypertenstion was the most common disease(22.41%) and diabetes mellitus(17.24%), depression(8.62%), gastritis(8.62%) in turns. 3. In clinical manifestation, temporomandibular disorder was the most frequently complained symptom(33.33%), and soft tissue disease(21.57%), burning mouth syndrome(17.65%), orofacial movement itself(15.69%), diffuse orofacial pain(6명, 11.76%) in turns. 4. Most orofacial movement disorders are idiopathic(72.73%), and related to prosthetic treatment(24.24%), related to antidepressant medication(3.03%) in turns. 5. The jaw-closing type was the most common type of orofacial movement disorders, and lateral type(33.33%), jaw-opening types(16.67%) in turns. 6. There were more patients who did not conscious of their orofacial movements than those who did.(54.55% vs 45.45%). In conclusion, dentists must be consider the orofacial movement disorders in patients who have orofacial pain. Also, dentists should obtain a proper history and perform a clinical examination to avoid misdiagnosis and inappropriate, irreversible treatment.

• KIPS Transactions on Computer and Communication Systems
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• v.12 no.5
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• pp.171-180
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• 2023

The three major sleep disorders in Korea are snoring, sleep apnea, and insomnia. Lack of sleep is the root of all diseases. Some of the most serious potential problems associated with sleep deprivation are cardiovascular problems, cognitive impairment, obesity, diabetes, colitis, prostate cancer, etc. To solve these problems, the Korean government provided low-cost national health insurance benefits for polysomnography tests in July 2018. However, insomnia patients still have problems getting treated in terms of time, space, and economic perspectives. Therefore, it would be better for insomnia patients to be allowed to test at home. The measuring device can measure six biosignals (eye movement, tossing and turning, body temperature, oxygen saturation, heart rate, and audio). A gyroscope sensor (MPU9250, InvenSense, USA) was used for eye movement, tossing, and turning. The input range of the sensor was in 258°/sec to 460°/sec, and the data range was in the input range. Body temperature, oxygen saturation range, and heart rate were measured by a sensor (MAX30102, Analog Devices, USA). The body temperature was measured in 30 ℃ to 45 ℃, and the oxygen saturation range was 0% for the unused state and 20 % to 90 % for the used state. The heart rate measurement range was in 40 bpm to 180 bpm. The measurement of audio signal was performed by an audio sensor (AMM2742-T-R, PUIaudio, USA). The was -42 dB ±1 dB frequency range was 20 Hz to 20 kHz. The measured data was successfully received in wireless network conditions. The system configuration was consisted of a PC and a mobile app for bio-signal measurement and data collection. The measured data was collected by mobile phones and desktops. The data collected can be used as preliminary data to determine the stage of sleep and perform the screening function for sleep induction and sleep disturbances. In the future, this convenient sleep measurement device could be beneficial for treating insomnia.