scholarly journals Nocturnal Lagophthalmos and Sleep Quality in Patients with Dry Eye Disease

Life ◽  
2020 ◽  
Vol 10 (7) ◽  
pp. 105
Author(s):  
Aya Takahashi ◽  
Kazuno Negishi ◽  
Masahiko Ayaki ◽  
Miki Uchino ◽  
Kazuo Tsubota
Keyword(s):  
Sleep Quality ◽  
Dry Eye ◽  
Sleep Latency ◽  
Dry Eye Disease ◽  
Eye Disease ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Younger Age ◽  
Eye Symptoms ◽  
Night Shifts

Nocturnal lagophthalmos (NL) refers to the inability to close the eyelids during sleep, which is known to affect dry eye disease (DED) symptoms and sleep quality. This study aimed to evaluate the prevalence of NL and sleep quality in DED patients. We launched a survey website to recruit 2000 Japanese. The participants were asked to answer a questionnaire about DED, sleep quality, and happiness. Participants were divided into two groups according to the presence of DED, and responses were compared between the groups. The DED group was comprised of 890 subjects (44 ± 13.8 years, 359 males) and women were predominant (p < 0.001). Sleep duration was significantly shorter (p = 0.008), sleep latency was longer (p < 0.001), and sleep efficacy was worse compared with the non-DED group (p < 0.001). Furthermore, people belonging to the DED group were more frequently working night shifts (p < 0.001). NL was more prevalent in the DED group (p = 0.007). Logistic regression analysis showed that NL correlated with younger age, symptomatic DED, and eye symptoms upon waking. The current study suggested that NL was associated with worsened DED symptoms and poor sleep quality. Preventative eye care for lagophthalmos before and during sleep may be helpful for DED and sleep quality.

scholarly journals The Association Between Dry Eye Disease With Depression, Anxiety and Sleep Disturbance During COVID-19

2022 ◽  
Vol 12 ◽  
Author(s):  
Qing He ◽  
Zhuo Chen ◽  
Caiyuan Xie ◽  
Lin Liu ◽  
Ruihua Wei
Keyword(s):  
Sleep Quality ◽  
Dry Eye ◽  
Sleep Latency ◽  
Dry Eye Disease ◽  
Eye Disease ◽  
Anxiety And Depression ◽  
Depression And Anxiety ◽  
Subjective Sleep Quality ◽  
Subjective Sleep ◽  
The Relationship

Objective: This study aimed to investigate the relationship between dry eye disease (DED) with anxiety and depression. Additionally, the mediating effect of sleep quality on this relationship was explored.Methods: 321 patients with DED were recruited from Tianjin Medical University Eye Hospital clinic and surveyed using demographic questionnaires, the Ocular Surface Disease Index (OSDI), Hospital Anxiety and Depression Scale (HADS), and Pittsburgh Sleep Quality Index (PSQI). Regression analysis and the bootstrap method were used to investigate the influence of sleep on the relationship between DED, anxiety and depression.Results: Among the patients with DED, 86 (26.79%), 85 (26.48%), and 54 (16.82%) patients presented with anxiety, depression, and both anxiety and depression respectively. The OSDI and PSQI score were positively correlated with depression and anxiety (all p &lt; 0.01). The direct effects of OSDI on depression and anxiety were significant (P &lt; 0.01). Additionally, the bootstrap test showed significant mediating effects of subjective sleep quality [95% CI [0.003–0.016] (depression); [0.001–0.011] (anxiety)] and sleep latency [95% CI [0.001–0.010] (depression); [0.001–0.008] (anxiety)]. These results indicated that the severity of DED symptoms, as measured by the OSDI score, affected anxiety and depression through a direct and an indirect pathway mediated by subjective sleep quality and sleep latency.Conclusions: The results indicated that there was a significant correlation between DED and anxiety and depression. Moreover, subjective sleep quality and sleep latency were a mediator of the relationship between DED symptoms and anxiety and depression.

Relationshp Between Sleep Quality, Mood State, and Performance of Elite Air-Rifle Shooters

2021 ◽  
Author(s):  
Jiaojiao Lu ◽  
Yan An ◽  
Jun Qiu
Keyword(s):  
Sleep Quality ◽  
Mood State ◽  
Sleep Latency ◽  
Sleep Time ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Somatic Anxiety ◽  
And Performance ◽  
Air Rifle ◽  
Good Sleep

Abstract Background To evaluate the impact of pre-competition sleep quality on the mood and performance of elite air-rifle shooters. Methods This study included 23 elite air-rifle shooters who participated in an air-rifle shooting-competition from April 2019 to October 2019. Sleep time, sleep efficiency, sleep latency, and wake-up time after sleep onset were monitored using actigraphy. The Pittsburgh sleep quality index and Profile of Mood State were used to assess sleep quality. Competitive State Anxiety Inventory-2 was used to evaluate mood state. Results The average time to fall asleep, sleep time, sleep efficiency, and subjective sleep quality were 20.6 ± 14.9 min, 7.0 ± 0.8 h, 85.9 ± 5.3%, and 5.2 ± 2.2, respectively. Sleep quality decreased as the competition progressed. Pre-competition sleep time in female athletes was significantly higher than that on the competition day (P = 0.05). Pre-competition sleep latency was significantly longer in women than in men (P = 0.021). During training and pre-competition, the tension, fatigue, depression, and emotional disturbance were significantly lower in athletes with good sleep quality than in athletes with poor sleep quality. Athletes with good sleep quality had significantly more energy. The PSQI total score was positively correlated with positive emotion, TMD, cognitive anxiety, and somatic anxiety POMS scores, and negatively correlated with energy and self-confidence scores. Race scores and depression and somatic anxiety scores were negatively correlated. Conclusion Poor sleep quality negatively impacted the mood of athletes; however, sleep indices and competition performance of athletes during competitions were not significantly correlated.

Association Between Sleep Quality, Mood Status, and Ocular Surface Characteristics in Patients With Dry Eye Disease

Cornea ◽  
2019 ◽  
Vol 38 (3) ◽  
pp. 311-317 ◽  
Author(s):  
Mengliang Wu ◽  
Xin Liu ◽  
Jing Han ◽  
Tingting Shao ◽  
Yan Wang
Keyword(s):  
Sleep Quality ◽  
Dry Eye ◽  
Ocular Surface ◽  
Surface Characteristics ◽  
Dry Eye Disease ◽  
Eye Disease

scholarly journals Analysis of NHANES 2005–2016 Data Showed Significant Association Between Micro and Macronutrient Intake and Various Sleep Variables (P06-103-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Chioma Ikonte ◽  
Carroll Reider ◽  
Victor Fulgoni ◽  
Susan Mitmesser
Keyword(s):  
Sleep Quality ◽  
Sleep Disorder ◽  
Dietary Fiber ◽  
Sleep Latency ◽  
Poor Sleep ◽  
Inverse Association ◽  
Macronutrient Intake ◽  
Poor Sleep Quality ◽  
Short Sleep ◽  
Quality Sleep

Abstract Objectives To understand the association between micro and macronutrient intake and sleep variables from the National Health and Nutrition Evaluation Survey (NHANES, 2005–2016). Methods Data analysis was performed using SAS 9.4; regression analysis was used to assess the relationship (p < 0.05) of nutrient intake with sleep variables. All nutrients were individual usual intakes determined using the National Cancer Institute method from food plus supplements; covariates included age, gender, ethnicity, poverty income ration, current smoking status and physical activity level. Individuals 16+ years of age were included in the analysis; pregnant or lactating females and those with unreliable dietary recalls were excluded in the analysis. Seven (7) Sleep variables included in the analysis were short sleep hours (<7 hrs of sleep) and trouble sleeping (NHANES 2005–2016), sleep disorder (NHANES, 2005–2014) and poor sleep quality, insomnia, sleep latency, and use of sleeping pills >5 times in the last month (NHANES 2005–2008). Results In adults (males and females) 19+ years, 32.7% experienced short sleep; 47.3% poor sleep quality; 8.94% a sleep disorder; 37.9% sleep latency; 9.30% used sleeping pills; 15.1% exhibited insomnia; and 27.7% experienced sleep trouble. Within this population, short sleep was significantly (p < 0.05) associated with the greatest number of nutrients; showing an inverse association with magnesium, niacin, vitamin D, calcium, and dietary fiber intake. Across all seven sleep variables, however, magnesium, niacin and vitamin D demonstrated significant (p < 0.05) inverse association within this population. Inverse associations were also found for dietary fiber intake and short sleep and sleep disorder; phosphorus intake and poor sleep quality, sleep latency and sleep pill use; and vitamin K intake and poor sleep quality, sleep disorder, sleep latency and sleep pill use in the gender combined adults 19+ years. Within this population however, there were direct associations for the intakes of protein and vitamin B6 and short sleep, sleep disorder and sleep trouble; for the intakes of sodium and vitamin A and poor sleep quality, sleep latency and sleep pill use; for the intake of vitamin B12 and poor ADL and insomnia; and for the intake of zinc and sleep quality, sleep latency, sleep pill use, poor ADL and insomnia. Among female adults 19+ years, dietary fiber was the only nutrient that showed an inverse association with all seven sleep variables. Conclusions These findings demonstrate the importance of micro and macronutrient intake on numerous sleep variables. Funding Sources This analysis was funded by Pharmavite, LLC.

scholarly journals Poor Sleep Quality in Nurses Working or Having Worked Night Shifts: A Cross-Sectional Study

2021 ◽  
Vol 15 ◽  
Author(s):  
Qiao Huang ◽  
Chong Tian ◽  
Xian-Tao Zeng
Keyword(s):  
Sleep Quality ◽  
Clinical Care ◽  
Night Shift ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Consecutive Night ◽  
Sectional Study ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Night Shifts

Night shifts are part of clinical care. It is unclear whether poor sleep quality of nurses working both consecutive night shifts and day shifts after quitting night shifts is common. In this cross-sectional study, Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality as study outcome. Univariable and multivariable linear and logistic regressions were performed to compare PSQI score and prevalence of poor sleep quality between 512 nurses currently working consecutive night shifts and 174 nurses having worked night shifts in the past. The prevalence of poor sleep quality was 62.11% in nurses working consecutive night shifts and 55.75% in nurses having worked night shifts before. In multivariable regressions with adjustment for potential confounders, compared with nurses working consecutive night shifts, nurses having worked past night shifts reported decreased PSQI score [mean difference: −0.82 (95% CI: −1.27 to −0.38, p &lt; 0.001)] and lower poor sleep quality [odds ratio (OR): 0.49 (95% CI: 0.29 to 0.80, p = 0.005)]. In nurses working consecutive night shifts, a rising curve that plateaued at the end was observed between years of consecutive night shifts and PSQI score, p = 0.004. To explore the change in PSQI score after quitting night shift, we constructed a hypothetical prospective cohort from the cross-sectional data. Here, 98 pairs of nurses with consecutive and past night shifts were matched for the number of night shift years, religion, marital status, living condition, hypertension, and hyperlipidemia. In each pair, a hypothetical change in PSQI score was calculated between the two types of nurses and hypothetical years after quitting night shifts was obtained from the matched nurse with past night shifts. A U-shaped curve between change in PSQI and years after quitting night shifts was observed, p = 0.007. The rising curve and U-shaped curve together formed an S-shaped curve, which mapped the change in sleep quality. These results based on the hypothetical cohort constructed from cross-sectional data suggested the presence of persistent poor sleep quality in night shift nurses. Also, we support early and continuous sleep hygiene education and reflection for an optimal strategy for when to cease working night shifts with regard to sleep-related problems.

scholarly journals Intense Pulse Laser Therapy and Dry Eye Disease

2021 ◽  
Author(s):  
Sana Niazi ◽  
Farideh Doroodgar
Keyword(s):  
Chronic Disease ◽  
Dry Eye ◽  
Management Strategies ◽  
Tear Film ◽  
Dry Eye Disease ◽  
Eye Disease ◽  
Second Phase ◽  
Eye Symptoms ◽  
Periocular Region ◽  
New Treatment

The high and increasing prevalence of Dry Eye Disease (DED) highlights the need for new treatment treatments and more effective management strategies for this chronic disease. After training, lid grooming, and various ocular lubricants, the Tear Film & Ocular Surface Society Dry Eye Workshop II (TFOS DEWS II) Management and Therapy Subcommittee recently proposed Intense Pulsed Light (IPL) as the second phase of therapy. Brief flashes of non-coherent light (400–1,200 nm) are delivered to the skin’s surface using IPL technology. Toyos et al. found in 2005 that rosacea sufferers who were treated with IPL in the periocular region had a significant increase in their dry eye symptoms.

scholarly journals Sleep quality and body weight status of Malaysian university students

2020 ◽  
Vol 26 (3) ◽  
pp. 461-470
Author(s):  
Nurul Fareeza Suhaimi ◽  
◽  
Zuriati Ibrahim ◽  
Siti Nur ‘Asyura Adznam ◽  
Sabariah Md Noor ◽  
...  
Keyword(s):  
Body Weight ◽  
University Students ◽  
Sleep Quality ◽  
Sleep Disturbances ◽  
Weight Status ◽  
Sleep Latency ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Body Weight Status ◽  
Normal Body Weight

Introduction: Inadequate sleep duration is a modifiable behaviour linked with body weight, yet limited is known on the role of sleep quality with body weight status among university students. The study aimed to determine sleep quality and its association with body weight status among university students. Methods: A crosssectional study was conducted among 240 university students (24.6% males, 75.4% females) with a mean age of 21.22±1.24 years. Subjects were recruited from four faculties of University Putra Malaysia (UPM). Information on socio-demographic, sleep quality and anthropometric measurements were collected. Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality, whereby a summation score from seven components yielded a global score on sleep quality, with higher scores indicating poor sleep quality. Results: Majority of subjects were Malay (79.2%) with a mean body mass index of 22.6kg/m2. A majority (61.3%) had normal body weight, with the prevalences of underweight (UW), overweight (OW), and obesity (OB) at 12.9%, 19.6% and 6.3%, respectively. The mean global PSQI score was 5.76±2.64, with half of the respondents (50.4%) experiencing poor sleep quality. OW-OB experienced poorer sleep quality (6.53±2.79, p=0.004) and longer sleep latency (1.34±0.10, p=0.008) relative to UW-NW. OB subjects had substantially more frequent sleep disturbances compared to non-OB subjects (1.53±0.64, p=0.012). Conclusion: Findings suggest that OW-OB students at university are at a greater risk of having reduced sleep quality with longer sleep latency and frequent sleep disturbances. There is a need for a wellness initiative to reduce the incidence of obesity while fostering healthier sleeping habits among university students.

scholarly journals The association of sleep quality with dry eye disease: the Osaka study

2016 ◽  
pp. 1015 ◽  
Author(s):  
Motoko Kawashima ◽  
Miki Uchino ◽  
Norihiko Yokoi ◽  
Yuichi Uchino ◽  
Murat Dogru ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Dry Eye ◽  
Dry Eye Disease ◽  
Eye Disease

scholarly journals Constructs of poor sleep quality in adolescents: associated factors

2021 ◽  
Vol 37 (8) ◽  
Author(s):  
Lailah Maria Luiza Gonzaga Cavalcanti ◽  
Rodrigo Antunes Lima ◽  
Caroline ramos de Moura Silva ◽  
Mauro Virgilio Gomes de Barros ◽  
Fernanda Cunha Soares
Keyword(s):  
Social Anxiety ◽  
Sleep Quality ◽  
Sleep Disturbance ◽  
Sleep Latency ◽  
Clinical Depression ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Factors Associated ◽  
Sleep Dysfunction ◽  
Daytime Sleep

This study aims to evaluate factors associated with sleep quality (overall and by domains) in adolescents. A cross-sectional study. This study was conducted with 1,296 first-year high school students from public schools in the Northern Region of the State of Pernambuco, Brazil. Demographic, socioeconomic, and behavioral data were obtained with a questionnaire. Sleep quality was measured using the Pittsburgh Sleep Quality Index (PSQI) Body mass index (BMI) was calculated based on the ratio of weight and height squared. Multilevel linear and logistic regressions evaluated factors associated with sleep quality. We observed 53% of adolescents reported poor sleep quality. Adolescents at higher risk of clinical depression were 3.45 times more likely to have poor sleep quality (95%CI: 2.04; 5.81), and each additional unit in the social anxiety score presented 1.03 (95%CI: 1.01; 1.05) higher odds of adolescents having poor sleep quality. Adolescents with depressive symptoms had higher sleep latency, greater sleep disturbance, and greater daytime sleep dysfunction. Social anxiety was associated with sleep latency, sleep disturbance, and daytime sleep dysfunction. Higher risk of clinical depression was associated with all domains related to sleep quality. Negative health perception was associated with sleep disturbance, and physical inactivity was associated with daytime sleep dysfunction. Social anxiety and especially higher risk of clinical depression were determinants of poor sleep quality. Changes in sleep latency, sleep disturbance and daytime sleep dysfunction seems to be relevant to poor sleep quality.

scholarly journals Effect of dry eye diseases on the level of Protein and Lipids in Tears of Postmenopausal Women.

2021 ◽  
Vol 46 (1) ◽  
Author(s):  
A.O. Shuaibu ◽  
G. A. Akinlabi
Keyword(s):  
Postmenopausal Women ◽  
Dry Eye ◽  
Total Protein ◽  
Clinical Signs ◽  
Dry Eye Disease ◽  
Eye Disease ◽  
Ocular Surface Disease Index ◽  
Significant Difference ◽  
Eye Symptoms ◽  
Breakup Time

The study is aimed at investigating the effect of dry eye disease on the level of protein and lipids in tears of postmenopausal women. The study was carried out on 33 postmenopausal women with dry eye symptoms and 22 postmenopausal women that were asymptomatic. The ocular surface disease index (OSDI) questionnaire classified participants as being symptomatic or asymptomatic of dry eye. Tear stability and tear volume were assessed with Fluorescein Tear Break up Time (FBUT) and Schirmer’s test respectively. Tears were analysed for protein (total protein, albumin, and globulin) and lipid (cholesterol and triglycerides). The mean total protein for Dry Eye (DE) was higher than that for Non-dry eye (NDE). Albumin and globulin were also higher for the DE group when compared to the NDE group. These were however, not statistically significant (p > 0.05). There was also no significant difference in triglycerides and cholesterol between DE and NDE. There was no significant correlation between clinical signs (tear volume and tear breakup time) and total protein, albumin, globulin cholesterol and triglycerides in the NDE and DE eye groups. The study shows that proteins and lipids do not change in postmenopausal women irrespective of the presences of dry eye disease.

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