Mini Sleep Questionnaire Research Articles

Lifestyle and sleep quality of schoolchildren living in Amazonas, Brazil

Lifestyle is something inherent to the world's population, different in each place and often varying from individual to individual. Lifestyle is directly related to health and encompasses various factors, including sleep, the quality of which is considered a determining factor, especially as it is related to the individual's development and well-being. This study sought to assess the impact of lifestyle on sleep quality in school adolescents in the city of Jutaí, in the state of Amazonas. To this end, information was collected from 356 students (167 boys and 189 girls) from the city's public school system, with an average age of around 13.10 ± 1.27 years, average body mass of 47.35 ± 11.45, average height of 1.52 ± 0.09 and BMI of 20.33 ± 3.60. The following instruments were used for data collection: Body Mass Index (BMI), the Individual Lifestyle Profile questionnaire (Nahas et al, 2000) and the mini sleep questionnaire (Zomer, 1985). The lifestyle variables analysed showed an intermediate level for nutrition, positive for stress, physical activity and social relationships oscillating between intermediate and positive, and positive preventive behaviour. Finally, it was found that most of the students surveyed - 181 participants (≅ 51.1%) - had good sleep, 46 (≅13.2%) had slightly altered sleep, 38 (≅10.7%) and 89 (25%) had severely altered sleep. There seems to be a direct relationship between sleep quality and lifestyle.

Impact of malocclusion and oral habits on oral health-related quality of life and sleep disturbance in young adults : Across-sectional study.

The aim of this study was to investigate the impact of malocclusion and oral habits on oral health-related quality of life and sleep disturbance in young adults. Across-sectional study was conducted with asample of 213 young adults aged 18-30years. Dental occlusion data were assessed through clinical examination. Aquestionnaire was used to collect data on oral habits. Outcomes were collected using the Oral Health Impact Profile (OHIP-14) and Mini Sleep Questionnaire. Anterior open bite (adjusted odds ratio [OR] = 2.41, 95% confidence interval [CI] = 1.02-5.67, p = 0.044), swallowing disorders (adjusted OR = 2.39, 95% CI = 1.13-5.05, p = 0.022), and sleeping on hands were associated with anegative impact on oral health-related quality of life. Females (adjusted OR = 2.61, 95% CI = 1.10-6.17, p = 0.029), teeth grinding (adjusted OR = 2.78, 95% CI = 1.08-7.14, p = 0.034), biting lips or cheeks (adjusted OR = 4.28, 95% CI = 1.49-12.29, p = 0.007), and self-perception of need for orthodontic treatment (adjusted OR = 7.88, 95% CI = 2.12-29.30, p = 0.002) were associated as arisk for sleep disturbances. The findings suggest that oral habits and some types of malocclusions can impact oral health-related quality of life. In addition, sleep disturbances were associated with agreater need for orthodontic treatment and ahabit of grinding teeth in young adults.

Sleep Quality among Older Adults in Brazil during the Coronavirus Disease 2019 Pandemic: The Role of Physical Activity

Abstract Objectives To assess sleep quality and sleepiness among older adults after social distancing during the coronavirus disease 2019 (COVID-19) pandemic and its association with physical activity. Materials and Methods The present cross-sectional study included a sample of 290 Brazilians aged ≥ 60 years. Subjective sleep quality and sleepiness were assessed using the Mini-Sleep Questionnaire (MSQ) and the Epworth Sleepiness Scale (ESS). Results Of the 290 participants, 29.7% reported worsening sleep quality during the pandemic, with a mean ± standard deviation (SD) MSQ score of 31.6 ± 8.8. Worsening of the perceived sleep quality during the pandemic and previous COVID-19 diagnoses were associated with higher MSQ scores (p < 0.001 and p = 0.013 respectively). Physical inactivity was not associated with sleep quality but was associated with sleepiness (p = 0.030). Conclusion It is important to develop strategies that encourage physical activity, among other modifiable health factors, to help improve sleepiness among older adults.

Who moderate the relationship between executive functions and quality of life among adults with and without adhd: structural equation model

Introduction Literature evidences indicates that adults with attention-deficit/hyperactivity disorder (ADHD) are struggling with executive functions deficiencies, organization in time deficits, low sleep quality, and poor quality of life (QoL). However, it is not clear how those factors associate and interact with each other.ObjectivesThis study aims to compare those factors as well as the relationships between them, among adults with and without ADHD using structural equations modeling (SEM).MethodsSixty-nine adults with ADHD and 52 matched controls (ages 20-46) completed the Behavior Rating Inventory of Executive Function-adult version (for executive functions), Time Organisation and Participation Scale (for organization-in-time), Mini Sleep Questionnaire (for sleep quality), and Adult ADHD Quality of Life questionnaire (for QoL).ResultsCompared to adults without ADHD, adults with ADHD showed significantly poorer executive functions, organization-in-time, sleep quality and QoL. The SEM indicated that sleep quality and organization-in-time domains mediated the relationship between executive functions abilities and QoL. This SEM explained 79% of the QoL variance for adults with and without ADHD.ConclusionsUnderstanding the role of organization-in-time and sleep quality as mediators between executive functions and quality of life emphasize the unique challenges of adults with ADHD, which deals with deficiencies at those factors. Those findings call for including these factors in evaluation and intervention processes to improve QoL and this population’s global health.Disclosure of InterestNone Declared

Nocturnal vestibular stimulation using a rocking bed improves a severe sleep disorder in a patient with mitochondrial disease.

Mitochondrial diseases are rare genetic disorders often accompanied by severe sleep disorders. We present the case of a 12-year-old boy diagnosed with a severe primary mitochondrial disease, exhibiting ataxia, spasticity, progressive external ophthalmoplegia, cardiomyopathy and severely disrupted sleep, but no cognitive impairment. Interestingly, his parents reported improved sleep during night train rides. Based on this observation, we installed a rocking bed in the patient's bedroom and performed different interventions, including immersive multimodal vestibular, kinesthetic and auditory stimuli, reminiscent of the sensory experiences encountered during train rides. Over a 5-month period, we conducted four 2-week nocturnal interventions, separated by 1-week washout phases, to determine the subjectively best-perceived stimulation parameters, followed by a final 4-week intervention using the optimal parameters. We assessed sleep duration and quality using the Mini Sleep Questionnaire, monitored pulse rate changes and used videography to document nocturnal interactions between the patient and caregivers. Patient-reported outcome measures, clinical examinations and personal outcomes of specific interests were used to document daytime sleepiness, restlessness, anxiety, fatigue, cognitive performance and physical posture. In the final 4-week intervention, sleep duration increased by 25%, required caregiver interactions reduced by 75%, and caregiving time decreased by 40%. Subjective fatigue, assessed by the Checklist Individual Strength, decreased by 40%, falling below the threshold of severe fatigue. Our study suggests that rocking beds could provide a promising treatment regime for selected patients with persistent severe sleep disorders. Further research is required to validate these findings in larger patient populations with sleep disorders and other conditions.

Parent-child associations of sleep quality: is physical activity a confounder? The EPI-FAMILY health study

IntroductionThe incidence of sleep deprivation has increased in pediatric populations, however, the relationship with physical activity (PA) remains uncertain and lacks evidence. Although some studies have shown that parents' lifestyle habits can influence this process, one point that requires further clarification in the literature is whether parents' sleep quality is linked to that of their children and whether parents' physical activity could play an important role in these possible relationships. ObjectivesTo investigate the relationship of sleep quality between parents and children and verify the role of physical activity in this association. MethodsThis is a cross-sectional study. Sleep quality was assessed using the Mini Sleep Questionnaire. The amount of sleep was estimated by the number of hours slept. PA domains (occupational activities, leisure, and active commuting) were assessed using the Baecke questionnaire, while moderate to vigorous PA (MVPA) was assessed with an accelerometer. Socioeconomic status was obtained through a questionnaire. The relationship of sleep quality between parents and children was carried out using hierarchical models with Binary Logistic Regression, where the factors were inserted one by one (1. unadjusted model; 2. sociodemographic variables; 3. children's PA; 4. parents’ PA). ResultsThe study sample consisted of 102 children and adolescents (6–17 years), 92 mothers, and 69 fathers. Poor sleep quality of mothers was associated with their children's sleep quality (OR = 3.95; 95%CI = 1.33–11.38; P = 0.013). After inserting mothers' PA intensity into the final model, the associations remained significant (OR = 8.05; 1.33–48.59; P = 0.023). No relationship was observed between poor sleep quality of fathers and their children's sleep quality. ConclusionThe relationship between poor sleep quality of mothers and that of their children remained significant, regardless of confounding variables.

Patients With Hemangioblastoma: Mood Disorders and Sleep Quality.

Sleep has confirmed physical, psychological, and behavioral benefits, and disruptions can result in disturbances in these states. Moreover, it can be linked bidirectionally with susceptibility to and the subsequent status of brain tumors. The current study examined mood disorders and sleep quality before and after surgery for hemangioblastoma brain tumors. Thirty-two patients diagnosed with hemangioblastoma brain tumors between 2017 and 2023 underwent surgical treatment. The Karnofsky Performance Status and ECOG performance status scales, the Brunel Mood Scale, the Morningness-Eveningness Questionnaire, and the Mini-Sleep Questionnaire were employed to assess the patients. The findings indicate that after surgery, sleep quality and mood disorders, including tension, vigor, and depression, did not exhibit significant differences in these patients (p>0.05). However, tension, vigor, depression, and sleep quality did have a significant impact on their functional status post-surgery (p<0.05). Depression is the significant mood factor in patients with brain tumors that impact their functional status. In this context, it is recommended that psychological therapies be considered for them, alongside conducting more comprehensive and in-depth studies on psychological disorders in patients with brain tumors.

Reported history of childhood trauma, mentalizing deficits, and hypersomnia in adulthood: A mediational analysis in a nonclinical sample.

Existing research has confirmed the link between childhood trauma and poor sleep quality in adulthood. This study focused on the relationship between childhood trauma and hypersomnia specifically, which is understudied. Additionally, childhood maltreatment has been related to mentalizing deficits. The current study examined the role of mentalizing deficits as mediators between childhood trauma and hypersomnia. The study sample of this cross-sectional study consisted of 496 individuals, who participated in the online survey, which contained the following measures: Persian version of the Mini Sleep Questionnaire, Reflective Functioning Questionnaire (RFQ-8), and Childhood Trauma Questionnaire (CTQ). The results from structural equation modeling indicated that emotional abuse positively predicts hypersomnia. Mediation analysis confirmed that hypo-mentalizing partially mediates the association between emotional abuse and hypersomnia. The present study provides primary evidence that experiencing emotional abuse during childhood is associated with hypersomnia in adulthood. This association underlines the importance of prevention. The result from mediation analysis suggests addressing mentalizing impairments in patients with hypersomnia and a history of emotional abuse may be helpful.

Prevalence of internet gaming addiction and its association with sleep quality in medical students.

In Asia, there are approximately 2.3 billion internet users. Addiction to internet gaming takes a multifaceted toll on an individual's physical and mental well-being, casting a long shadow over their daily endeavors and also their sleep cycle. To study the prevalence of internet gaming addiction and how it affects sleep quality in medical students. A cross-sectional study was performed with a sample size (n = 112) in the Government Medical College, Datia (M.P.), and data were collected using a semi-structured proforma including the Internet Gaming Disorder Scale and Mini Sleep Questionnaire in the study population. In the study population with age group 18-28 years (mean age: 21 ± 1.7 years), the majority of them belong to the Hindu religion (91.1%), nuclear family (66.1%), and urban community (75.9%). Most students (n = 74) had mild to moderate sleep difficulty related to internet gaming addiction, that is, 65.1%. The most common response was "sometimes" on the Internet Gaming Disorder Scale. A significant association was observed between gaming disorder and parameters of sleep mainly in waking up too early, daytime sleepiness, snoring, feeling tired, and headache upon waking up with gaming disorder. Among medical students, gaming addiction is significantly associated with poor sleep quality. Steps need to be taken to promote healthy internet use to improve sleep quality and mitigate negative effects to avoid long-term health impacts.

Self-Care Practices as a Mediator between Workaholism and Sleep–Wake Problems during COVID-19

Self-care practices are considered an important resource for workers’ psychophysical well-being. These resources were especially relevant during the COVID-19 outbreak, during which both workaholism and sleep–wake problems were documented. Our study aimed to examine whether workaholism could predict sleep–wake quality through the mediating effects of self-care practices. A convenient sample of 405 Italian workers (71.1% females; mean age = 42.58 ± 10.68 years) completed the Self-Care Practices Scale, Mini-Sleep Questionnaire, and Working Excessively and Working Compulsively Scale during the first lockdown in Italy in 2020. The main results showed that workaholism directly affected sleep–wake quality, suggesting that high levels of workaholism increased the likelihood of sleep–wake problems being reported. At the same time, people with high levels of workaholism reported scarce use of self-care practices and, in turn, lower sleep–wake quality. Our findings confirm the importance of monitoring the quality of life at work to protect workers’ sleep–wake cycle quality and investing in self-care. Both individual and organizational efforts can help break the vicious cycle of workaholism and sleep–wake disorders.

Sleep problems in adults assisted in the Family Health Strategy

Objective: To estimate the prevalence and investigate factors associated with sleep problems in adults enrolled in the Family Health Strategy in 2016. Methods: Cross-sectional sample study with 791 individuals aged 18 years or over, conducted between 2017 and 2018. Sleep problems were measured using the Mini Sleep Questionnaire, a questionnaire validated in Brazil. Results: The prevalence of sleep problems was 49.6%. Of these, 10.4% had mild, 7.6% moderate, and 31.6% severe alterations. There was a statistically significant association between not having a paid work activity, not having leisure activities, smoking, chronic disease, and negative self-assessment of health with sleep problems. Conclusion: There was a high prevalence of sleep problems. These results can contribute to a better understanding of sleep problems in the adult population and thus collaborate with adopting more effective measures to treat them.

Factors associated with sleep quality in university students

To investigate factors associated with poor sleep quality. A cross-sectional study was conducted in 2019 with random sampling. Information on sleep was obtained using the Mini Sleep Questionnaire (MSQ). Independent variables included sociodemographic, behavioural, academic and psychological health characteristics. Adjusted analyzes were performed using Poisson regression. A total of 996 undergraduate students participated in the study. The poor sleep quality affected 23.1% of the sample (95%CI 20.5-25.9), ranging from 13.4% for those with little concern about violence in the neighbourhood to 36.5% for those with less social support. In the adjusted analysis, female sex [PR] 1.81; (95%CI 1.33-2.45), concern about violence in the neighbourhood [PR] 2.21; (95%CI 1.48-3.28), discrimination at university [PR] 1.42; (95%CI 1.08-1.86) and food insecurity [PR] 1.45; (95%CI 1.11-1.89) were associated with the presence of poor sleep quality, as well as having less social support and income and suffering psychological distress. The results highlight socioeconomic and mental health factors that affect sleep quality and demonstrate the need for reflection and interventions capable of minimizing this problem.

Fatores associados à qualidade do sono de estudantes universitários

Abstract To investigate factors associated with poor sleep quality. A cross-sectional study was conducted in 2019 with random sampling. Information on sleep was obtained using the Mini Sleep Questionnaire (MSQ). Independent variables included sociodemographic, behavioural, academic and psychological health characteristics. Adjusted analyzes were performed using Poisson regression. A total of 996 undergraduate students participated in the study. The poor sleep quality affected 23.1% of the sample (95%CI 20.5-25.9), ranging from 13.4% for those with little concern about violence in the neighbourhood to 36.5% for those with less social support. In the adjusted analysis, female sex [PR] 1.81; (95%CI 1.33-2.45), concern about violence in the neighbourhood [PR] 2.21; (95%CI 1.48-3.28), discrimination at university [PR] 1.42; (95%CI 1.08-1.86) and food insecurity [PR] 1.45; (95%CI 1.11-1.89) were associated with the presence of poor sleep quality, as well as having less social support and income and suffering psychological distress. The results highlight socioeconomic and mental health factors that affect sleep quality and demonstrate the need for reflection and interventions capable of minimizing this problem.

Work participation, sensory processing and sleep quality in adults with attention-deficit hyperactive disorder.

Although studies have indicated significant effects of attention-deficit hyperactive disorder (ADHD) on work participation, the mechanism underlying work participation of adults with ADHD is still unclear. Following the World Health Organization's international classification of functioning, disability, and health concepts, this study compares sensory processing and sleep quality (body functions) with work participation among adults with and without ADHD and examines predictive relationships among adults with ADHD. Sixty-nine adults with ADHD and 52 matched controls completed a sociodemographic questionnaire, the Adult/Adolescent Sensory Profile, the Mini Sleep Questionnaire, and the Occupational Questionnaire. The ADHD group had significantly poorer body functions, sensory processing (i.e., low registration, sensory-sensitivity, and sensation-avoiding patterns), sleep quality, and work performance compared to the control group (p < .001). For adults with ADHD, sensory sensitivity accounted for 10.9%, and sleep quality accounted for 22.0%, of the variance in their work performance. The deficient body functions of adults with ADHD may affect their work performance and therefore should be considered in further research, as well as in clinical applications.

Changes in lifestyle during the COVID-19 lockdown in Brazil: Impact on sleep quality

This study examined the influence of lifestyle changes made during the COVID -19 lockdown on sleep quality in a Brazilian population. We conducted an online cross-sectional study with 589 Brazilians that completed an online questionnaire about sociodemographic variables (age/status/cohabitation/education), general habits (exercise/work), and sleep quality (Mini Sleep Questionnaire). Poisson regression (log-linear) was used to examine sleep quality risk factors. 41.93% of the population reported impaired sleep quality during lockdown. Increased alcohol consumption, worsened diet quality, and use of bed for work during lockdown were risk factors for worsening sleep quality. Increased or beginning physical activity during lockdown was protective against poor sleep quality, as was male sex. Our results suggest that habit change during COVID -19 affected sleep quality in a general Brazilian population. However, it is important to be aware of whether these positive/negative habits acquired during the interdiction persist after the pandemic.

Lifestyle pattern changes, eating disorders, and sleep quality in diabetes: how are the effects of 18months of COVID-19 pandemic being felt?

The pandemic resulted in a lifestyle crisis which may negatively affect patients with diabetes. Despite current knowledge, there is a lack of longitudinal studies evaluating this effect. To assess patients' perceptions about changes in lifestyle, and eating and sleeping patterns after 18months of the COVID-19 pandemic, and to identify if aspects related to the pandemic (social distancing, COVID-19 infection, behavioral changes, and financial difficulties) are predictors of worsening in eating and sleeping parameters. This was a longitudinal study that followed patients with diabetes from April 2020 to July 2021 in Southern Brazil. Individuals with type 1 or type 2 diabetes, aged ≥ 18years, were included. The outcome of this study was the assessment of daily habits during a 18-month period of theCOVID-19 pandemic. Specific questionnaires were applied once participants were included in this study (3months after the onset of the pandemic) and at the 18-month follow-up, which included the Eating Attitudes Test-26 (EAT-26), the Mini-Sleep Questionnaire (MSQ), and a specific questionnaire on diet, physical activity, and sleeppattern. Data were compared within and between groups (type 1 and type 2 diabetes), and multivariable models were used to identify subgroups of worse outcomes. A total of 118 (78.6%) participants remained in the study at follow-up (mean age 54.6 ± 13.9years, 41.3% male). In total, 33.9% of participants perceived weight gain during the pandemic, especially those with type 1 diabetes (43.1% vs 25.0% in type 2 diabetes, P = 0.04). About one in four participants reported emotional eating and changes in their eating habits for financial reasons. Regarding sleep patterns, more than half the participants reported taking naps during the day, out of which 30.5% of them perceived worse sleep quality, with no difference between type 1 and type 2 diabetes groups. There were no within-group differences in MSQ and EAT-26 scores. Among participants with type 2 diabetes, age ≥ 60years (OR 27.6, 95%CI 2.2-345.7), diabetes duration ≥ 15years (OR 28.9, 95%CI 1.4-597.9), and perceived emotional eating (OR 10.9, 95%CI 1.1-107.5) were associated with worsened food quality. Worse sleep quality during the pandemic was associated with age ≥ 60years for both type 2 diabetes (OR 5.6, 95%CI 1.1-31.5) and type 1 diabetes (OR 5.5, 95%CI 1.0-29.9). Follow-up data from a cohort of patients with diabetes indicate that at the end of 18months of social distancing, some lifestyle aspects worsened and some improved, showing that these patients responded differently to the adversities of this period. The evidence of clinical features associated with worsening in food and sleep quality provides new insights to prioritizing actions in crisis situations.

Daytime sleepiness in elementary school students: the role of sleep quality and chronotype.

ABSTRACTOBJECTIVE To investigate the occurrence of daytime sleepiness and associated sleep factors in a sample of elementary school students who attended school in the afternoon schedule.METHODS Sleep data from 363 Brazilian public school students (12.78 ± 1.36 years, 206 girls) were obtained by applying questionnaires in classrooms. All subjects attended school in the afternoon schedule, with classes starting between 1:00 and 1:20 p.m. Daytime sleepiness was assessed by the pediatric daytime sleepiness scale; sleep quality, by the mini-sleep questionnaire; and sleep patterns and chronotypes, by the Munich chronotype questionnaire. Scores equal to or greater than 15 pediatric daytime sleepiness scale points were considered as excessive daytime sleepiness. The predictive power of sleep variables on daytime sleepiness was evaluated by a multiple linear regression.RESULTS The subjects in the sample had an average time in bed greater than nine hours both on school days and on weekends. Nevertheless, 52.1% had an average pediatric daytime sleepiness scale score equal to or greater than 15 points, indicative of excessive daytime sleepiness. As for their quality of sleep, 41.1% had a very altered sleep. We observed, by a multiple linear regression, that quality of sleep (β = 0.417), chronotype (β = 0.174), mid-sleep on school days (β = 0.138), and time in bed (β = - 0.091) were all significant in predicting daytime sleepiness.CONCLUSION This study showed the occurrence of excessive daytime sleepiness in non-sleep deprived students who attended school in the afternoon. The worst quality of sleep and eveningness had a greater predictive power on daytime sleepiness than time in bed. Therefore, we must consider other factors in addition to sleep duration when planning interventions for daytime sleepiness.

Assessment of sleep and stress level in individuals with chronic pain.

IntroductionThe experience of living with chronic pain allows for the appearance of changes in sleep patterns, mood, and stress levels.ObjectiveTo describe the phases of stress and the quality of sleep in patients with chronic pain.Material and MethodsCross-sectional study carried out at the pain clinic of the HUPES Complex, Salvador-Bahia. Data collection between March 2016 and November 2017. Instruments: Sociodemographic questionnaire, Numerical Pain Scale (EVN), Mini-Sleep Questionnaire (MSQ), and Stress Symptoms Inventory for LIPP adults (ISSL). Categorical variables were expressed by absolute and relative frequency and quantitative variables by means and standard deviation (SD). The comparison of categorical variables was performed using the chi-square test. Values of p<0.05 were considered statistically significant.ResultsMean age (standard deviation) of 50.0 (10) years, 89.6% of whom were female. Predominance of people with a partner, with religion, high school, and unemployed or removed by the INSS. They have severe sleep disorders, severe pain, and the presence of stress in the resistance phase. Most subjects reveal that they have improved with the treatment and have moderate self-esteem and personal satisfaction, despite the presence of anxious and depressive symptoms.ConclusionChronic pain has a very significant impact on life, increasing the level of stress, compromising and limiting daily activities, and showing more presence of anxious and depressive symptoms in people who suffer from chronic pain.

Low Back Pain and Its Influencing Factors among Intensive Care Unit Nurses: A Cross-sectional Study

Objectives: This study determined the associated factors with low back pain in intensive care unit nurses.Methods: In this cross-sectional correlational study, 85 nurses working at five intensive care units completed questionnaires on the low back pain using visual analogue scale (VAS), use of body mechanics, work-related factors, the Oswestry disability index (%), the FACIT-fatigue, and the mini-sleep questionnaire. A back pain score of ≥ 4 was considered significant. Data were analyzed with χ2 test, unpaired t-test, Pearson correlation analysis and logistic regression.Results: Forty-five nurses (52.9%) had a significant low back pain score of ≥ 4 (VAS). Higher low back pain was associated with greater use of body mechanics (r = 0.37, p= 0.001), higher disability index (r = 0.72, p&lt; 0.001), greater fatigue (r = 0.59, p&lt; 0.001), and poorer sleep quality (r = 0.36, p= 0.001). Low back pain was associated with heavy workload (odds ratio, OR: 4.20, 95% confidence interval, CI: 1.40-12.58) and long standing to work (OR: 3.54, 95% CI: 1.20-10.48). Low back pain was associated with fatigue (OR: 1.18, 95% CI: 1.08-1.30) after adjusting covariates.Conclusions: Low back pain is associated with a heavy workload, long-standing to work, and greater fatigue among intensive care unit nurses.

Does face mask affects sleep quality in patients with nasal septal deviation: evaluated by mini sleep questionnarie

Objectives: The aim of this study was to investigate the effects of face mask usage on the sleep quality of patients with nasal septal deviation.&#x0D; Material and Method: Thirty-four patients with unilateral nasal septum deviation (Group 1) and 27 healthy subjects without septum deviation (Group 2, control) were included in the study. Mask usage time per day (hours) in the last week, weight, length and BMI values, smoking, and alcohol habits were asked. In both groups, the sleep quality of the patients was evaluated by Mini Sleep Questionnaire (MSQ). Sleep delay (SD), sleep awakenings (SA), sleep medications (SM), daytime sleep (DS), morning fatigue (MF), habitual snoring (HS), morning awakening (MA), morning headache (MH), chronic fatigue (CF), and restless sleep (RS); and total MSQ items were evaluated.&#x0D; Results: All subjects used surgical masks. In the nasal septal deviation group, the right-sided deviation was detected in 15 (44.1%) patients and left-sided deviation was detected in 19 (55.9%) patients. Deviation located was anterior deviation in 12 (35.3%) patients, posterior deviation in 13 (38.2%) patients and antero-posterior deviation in 9 (26.5%) patients. Sleep Medications (SM) and Morning Headache (MH) values of the deviation group (Group 1) were significantly lower than those in the control group (p0.05). In older patients with septal deviation, Sleep Awakenings (SA), Habitual Snoring (HS), Morning Awakening (MA), and Total MSQ scores increased (p