Objectives: Depression, sleep complaints and cognitive impairments are commonly observed in the elderly. Elderly subjects with depressive symptoms have been found to show both poor cognitive performances and sleep disturbances. However, the relationship between sleep complaints and cognitive dysfunction in elderly depression is not clear. The aim of this study is to identify the association between sleep disturbances and cognitive decline in late-life depression. Methods: A total of 282 elderly people who underwent nocturnal polysomnography in a sleep laboratory were enrolled in the study. The Korean version of the Neuropsychological Assessment Battery developed by the Consortium to Establish a Registry for Alzheimer's Disease (CERAD-K) was applied to evaluate cognitive function. Depressive symptoms were assessed with the geriatric depression scale (GDS) and subjective sleep quality was measured using the Pittsburg sleep quality index (PSQI). Results: The control group ($GDS{\leq}9$) when compared with mild ($10{\leq}GDS{\leq}16$) and severe ($17{\leq}GDS$) depression groups, had significantly different scores in the Trail making test part B (TMT-B), Benton visual retention test part A (BVRT-A), and Stroop color and word test (SCWT)(all tests p<0.05). The PSQI score, REM sleep duration, apnea-hypopnea index and oxygen desaturation index were significantly different across the three groups (all indices, p<0.05). A stepwise multiple regression model showed that educational level, age and GDS score were predictive for both TMT-B time (adjusted $R^2$=35.6%, p<0.001) and BVRT-A score (adjusted $R^2$=28.3%, p<0.001). SCWT score was predicted by educational level, age, apnea-hypopnea index (AHI) and GDS score (adjusted $R^2$=20.6%, p<0.001). Poor sleep quality and sleep structure alterations observed in depression did not have any significant effects on cognitive deterioration. Conclusion: Older adults with depressive symptoms showed mild sleep alterations and poor cognitive performances. However, we found no association between sleep disturbances (except sleep apnea) and cognitive difficulties in elderly subjects with depressive symptoms. It is possible that the impact of sleep disruptions on cognitive abilities was hindered by the confounding effect of age, education and depressive symptoms.
Objective: Diminished ovarian reserve (DOR) is a disorder characterized by impaired ovarian function. Sleep disorders are disruptions of the circadian rhythm, which appears to be closely linked to reproductive systems. This study aimed to investigate the impact of poor sleep quality on the ovarian reserve of childbearing-age women. Methods: A cross-sectional study was conducted in China from June 2021 to March 2023. In total, 102 participants diagnosed with chronic insomnia disorder were included in the study. Questionnaires were administered to assess participants' menstrual patterns, insomnia severity, anxiety, and depression. The anti-Müllerian hormone level and the basal antral follicle count were measured for ovarian reserve evaluation. Correlation analysis and ordinal logistic regression analysis were conducted. Results: The women with insomnia presented high percentages of hypomenorrhea, premenstrual syndrome, and dysmenorrhea (78.4%, 74.5%, and 46.1%, respectively). Severe sleep disorder in the past month was identified as an independent risk factor for hypomenorrhea and premenstrual syndrome (odds ratio [OR], 2.64 and OR, 2.688; p<0.05). The prevalence of DOR among women with insomnia (33.3%) was significantly higher than the average reported in previous studies for young women. Insomnia duration exceeding 1 year was determined to be an independent risk factor for DOR in women aged 36 to 40 years (OR, 4.5; p=0.033). Conclusion: This study highlights the association between sleep disorders and menstrual problems. Prolonged poor sleep quality in women aged 36 to 40 years was identified as a significant risk factor for DOR. We should pay more attention to improving sleep quality in order to maintain normal ovarian function.
Background: This cross-sectional study assessed the sleep quality using the ActiGraph and investigated the relationship between the parameters of sleep assessment and the type of shift work in Korean firefighters. Methods: The participants were 359 firefighters: 65 day workers (control group) and 294 shift workers (shift work group: 77 firefighters with 3-day shift, 72 firefighters with 6-day shift, 65 firefighters with 9-day shift, and 80 firefighters with 21-day shift). Sleep assessments were performed using the ActiGraph (wGT3X-BT) for 24 hours during day shift (control and shift work group) and night shift and rest day (shift work group). The participants recorded bed time and sleep hours during the measurement period. Results: Sleep efficiency, total sleep time, and percentage of wake after sleep onset during night work were lower in the shift work group than control group (p < 0.05). Sleep efficiency decreased in night shift and increased in rest day, whereas wake after sleep onset increased in night shift and decreased in rest day (p < 0.05). Among shift work groups, sleep efficiency of 6-day shift was higher in day shift, and sleep efficiency of 21-day shift was lower in night shift than other shift groups (p < 0.05). Conclusion: We found that the sleep quality in night shift of the shift work group was poorer than the control group. As to the type of shift work, sleep quality was good in 6-day shift and poor in 21-day shift. Thus, fast rotating shift such as 6-day shift may be recommended to improve the sleep quality of the firefighters.
Medication alone is not sufficient to treat insomnia. In addition, the side effects of sleep medications themselves cannot be ignored during treatment. Insomnia begins with poor sleep quality and discomfort, but as it continues, patients fall into a vicious circle of insomnia with negative thoughts and dysfunctional and distorted perceptions related to sleep. Mindfulness-based intervention for insomnia corrects these sequential cognitive and behavioral processes. The mindfulness technique basically recognizes all the thoughts, feelings, and experiences that occur to us as they are, nonjudgmentally, and then trains them to return to the senses of our body. In this way, while noticing all the processes of the sequential vicious cycle and training them to return to our bodies (e.g., breathing), mindfulness determines whether we are really sleepy or just fatigued. This mindfulness-based intervention can be a useful nonpharmaceutical intervention for insomnia, and its stability and efficacy has been proven by many studies.
Interaction between pain and sleep has long been proved through many researches, and various studies are being conducted to identify its mechanism. However, these studies have targeted on patients with systemic disease, such as rheumatic disease and fibromyalgia. There are few researches on patients with orofacial pain including temporomandibular disorder(TMD). In this study, we studied interaction between pain aspect and sleep quality in 229 patients with TMD, who visited the TMJ and Orofacial pain clinic. Pittsburgh Sleep Quality Index(PSQI), Epworth sleepiness scale(ESS) questionnaire were surveyed and sleep-screening device was operated. PSQI showed that sleep quality in TMD patients with pain was poorer than that in TMD patients without pain. The ratio of poor sleeper was higher in TMD patients with pain. Especially, TMD patients with chronic pain showed obviously poorer sleep quality than TMD patients with acute pain. The result of ESS showed that patients with painful TMD showed more daytime sleepiness than painless TMD patients. The ratio of TMD patients with chronic pain who had daytime sleepiness was higher than TMD patients with acute pain, and the amount of daytime sleepiness was higher in the group of chronic pain. In TMD patients with chronic pain, only the poor sleeper(PSQI>5) presented mean ESS>10(diagnostic criteria of daytime sleepiness). There was no correlation between pain intensity and sleep quality or daytime sleepiness. The result of ApnealinkTM for screening of sleep related breathing disorder showed that only 1 patient presented AHI>5 among 19 participants. TMD patients with chronic pain presented poor sleep quality and excessive daytime sleepiness similar to other chronic pain patients. Evaluation of sleep state by questionnaire might be useful for diagnosis and management of TMD, because sleep disturbance decreases pain threshold and pain disturbs sleep. In addition, sleep-screening device would be useful for screening sleep related breathing disorder in dental clinic.
Purpose : This study aimed to investigate sleep parameters and to identify differences according to respiratory support therapy, sedation, and pain medication in intensive care unit (ICU) patients. Methods : In this observational study, sleep parameters were measured using actigraphy. We observed 45 sleep events in 30 ICU patients receiving respiratory support therapy. We measured the sleep parameters, time, efficiency, and wakefulness after sleep onset (WASO). The differences in sleep parameters according to the respiratory support therapy were analyzed using the Mann-Whitney U test. Results : The average daily sleep time of the participants was 776.66±276.71 minutes, of which more than 60% accounted for daytime sleep. During night sleep, the duration of WASO was 156.93±107.91 minutes, and the frequency of WASO was 26.02±25.82 times. The high flow nasal cannula (HFNC) group had a significantly shorter night sleep time (𝑥2=7.86, p =.049), a greater number of WASO (𝑥2=5.69, p =.128), and a longer WASO duration (𝑥2=8.75, p =.033) than groups of other respiratory therapies. Conclusion : ICU patients on respiratory support therapy experienced sleep disturbances such as disrupted circadian rhythm and sleep fragmentation. Among respiratory support regimens, HFNC was associated with poor sleep parameters, which appears to be associated with the insufficient use of analgesics. The results of this study warrant the development of interventions that can improve sleep in ICU patients receiving respiratory support, including HFNC.
Purpose: The purpose of this study was to review previous literature with an aim to explore the sleep disturbance level after a patient undergoes cataract surgery using an integrative review. Methods: We used the key words, 'cataract surgery', 'sleep', and 'intraocular lens' to find peer-reviewed publications in seven databases. Among 450 searched articles, eight articles were selected after exclusion of articles that did not meet the criteria. Results: Five of the articles submitted that subjective sleep quality of the patients with blue-filtering intraocular lens (BF-IOL) implant improved as compared to that before surgery. The change of saliva melatonin concentration after BF-IOL implant did not coincide in two of the articles. Two of the articles reported an increased level of intrinsically photosensitive retinal ganglion cells response after BF-IOL implantation. Conclusion: The published studies stated that BF-IOL implant did not have any negative impact on quality of sleep among cataract patients suffering with poor sleep. Rregardless of intraocular lens type, cataract surgery may increase photoreception of intrinsically photosensitive retinal ganglion cells one year after surgery although the mechanism was not clear. It is necessary to identify various factors influencing the quality of sleep such as gender and activities among cataract patients with BF-IOL implant in the future.
Objectives Sleep duration and sleep quality are closely related to obesity, however there are few studies considering the Sasang constitution. This study is to investigate the relationship between sleep status and obesity according to Sasang constitution. Methods This cross-sectional research studied 2,672 participants (1,293 men and 1,379 women) using the Korean Medicine Data Center (KDC) of the KIOM. Sasang constitution was diagnosed by KS-15 questionnaire. Obesity was divided into two categories: general obesity was defined as Body Mass Index(BMI) ${\geq}25kg/m^2$, and abdominal obesity was defined as waist circumference ${\geq}90cm$ in men and ${\geq}85cm$ in women. Sleep quality was assessed using the Pittsburgh Sleep Quality Index. Results The distribution of the subjects was 56.9% for Taeumin and 43.1% for non-Taeeumin., Poor sleep quality increased both BMI and waist circumference in Taeeumin. In men Taeeumin, sleep duration was correlated with BMI, and sleep quality was correlated with waist circumference. The prevalence of obesity was significant difference according to sleeping duration in men Taeeumin, it was the highest at 6 hours of sleeping time. Conclusions Sleep duration and sleep quality was associated with obesity in Taeeumin. Especially, in men Taeeumin, adequate sleep duration was an important factor for prevention and treatment of obesity.
Kwang-Ho Bae;Ki-Hyun Park;Il-Koo Ahn;Su-Eun Lim;Siwoo Lee
Journal of Society of Preventive Korean Medicine
/
v.28
no.1
/
pp.109-118
/
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.
Narcolepsy is characterized by sleep attack with excessive daytime sleepiness(EDS), cataplexy, sleep paralysis, and hypnagogic hallucination. Paradoxically, narcoleptics tend to complain of frequent arousals and shallow sleep during the night time despite their excessive sleepiness. However, nocturnal sleep fragmentation in narcoleptics is relatively ignored in treatment strategies, compared with sleep attack/EDS and cataplexy. In our paper, we attempted to investigate further on the poor nocturnal sleep in narcoleptics and to discuss possible treatment interventions. Out of consecutively seen patients at Seoul National University Sleep Disorders Clinic and Division of Sleep Studies, we recruited 57 patients, clinically assessed as having sleep attack and/or EDS. Nocturnal polysomnography and multiple sleep latency test(MSLT) were done in each of the subjects. We selected 19 subjects finally diagnosed as narcolepsy(mean age $26.0{\pm}18.3$ years, 16 men and 3 women) for this study, depending on the nocturnal polysomnographic and MSLT findings as well as clinical history and symptomatology. Any subject co-morbid with other hypersomnic sleep disorders such as sleep apnea or periodic limb movements during sleep was excluded. Sleep staging was done using Rechtschaffen and Kales criteria. Sleep parameters were calculated using PSDENT program(Stanford Sleep Clinic, version 1.2) and were compared with the age-matched normal values provided in the program. In narcoleptics, compared with the normal controls, total wake time was found to be significantly increased with significantly decreased sleep efficiency(p<.01, p<.05, respectively), despite no difference of sleep period time and total sleep time between the two groups. Stage 2 sleep%(p<.05), slow wave sleep%(p<.05), and REM sleep%(p<.01) were found to be significantly decreased in narcoleptics compared with normal controls, accompanied by the significant increase of stage 1 sleep%(p<.01). Age showed negative correlation with slow wave sleep%(p<.05). The findings in the present study indicate significant fragmentation of nocturnal sleep in narcoleptics. Reduction of REM sleep% and the total number of REM sleep periods suggests the disturbance of nocturnal REM sleep distribution in narcoleptics. No significant correlations between nocturnal polysomnographic and MSLT variables in narcoleptics suggest that nocturnal sleep disturbance in narcoleptics may be dealt with, in itself, in diagnosing and managing narcolepsy. With the objective demonstration of qualitative and quantitative characteristics of nocturnal and daytime sleep in narcoleptics, we suggest that more attention be paid to the nocturnal sleep fragmentation in narcoleptics and that appropriate treatment interventions such as active drug therapy and/or circadian rhythm-oriented sleep hygiene education be applied as needed.
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