scholarly journals The effect of orthodontic treatment with fixed appliances on sleep quality in adults and adolescents in Saudi Arabia using Pittsburgh sleep quality index

2022 ◽  
Vol 11 ◽  
pp. 266-269
Author(s):  
Omar Hamad Alkadhi ◽  
Ali A. Alomran ◽  
Nawaf S. Alrafee ◽  
Faisal A. Alaresh ◽  
Marzouq S. Alqahtani ◽  
...  

Objectives: The aim of this study was to investigate the effect of pain caused by orthodontic fixed appliances on sleep quality of participants using the Pittsburgh Sleep Quality Index (PSQI). Materials and Methods: A previously validated Arabic version of PSQI was electronically distributed through different social media platforms and in waiting areas of orthodontic offices. Eligibility criteria included healthy adults and adolescents with orthodontic fixed appliances and with no systemic conditions that may affect sleep. The cut-off point used to determine poor sleep quality was (>5). Results: Three hundred and eighteen participants were included in the final analysis (28.9% males and 71.1% females). Both males and females with orthodontic fixed appliances had poor sleep quality with (Mean = 6.48, SD = 2.85, P = 0.000) for males, and (Mean = 7.18, SD = 2.87, P = 0.000) for females. Comparing males and females, we found that females scored higher than males in both subjective sleep quality and PSQI global score. Conclusion: Individuals undergoing orthodontic treatment with fixed appliances have poor sleep quality. Females undergoing orthodontic treatment tend to have poorer sleep quality compared to males.

2021 ◽  
Vol 26 (4) ◽  
pp. 1457-1466
Author(s):  
Luiz Felipe Ferreira de Souza ◽  
Laisa Liane Paineiras-Domingos ◽  
Maria Eduarda de Souza Melo-Oliveira ◽  
Juliana Pessanha-Freitas ◽  
Eloá Moreira-Marconi ◽  
...  

Abstract This article aims to evaluate the sleep quality in individuals during the COVID-19 pandemic by Pittsburgh Sleep Quality Index (PSQI). Searches were conducted in the PubMed, Embase, Web of Science, and PEDro databases, on May 22, 2020. In the publications, 208 articles were found and, considering the eligibility criteria, 10 articles were included at the end, showing the effects on sleep quality during the pandemic, in populations hospitalized, quarantined, and in frontline health professionals. The PSQI measured sleep disorders and a higher score indicated poor sleep quality. Nine articles were classified with evidence level IV and one as level III-2. Eight studies present a “serious” risk of bias and two in “moderate”. The studies investigated different populations and described the results as “poor” sleep quality, considering the PSQI on quarantined individuals and frontline health professionals as the most committed. A poor sleep quality was found in the populations evaluated in the selected publications, probably, due to the COVID-19 to contribute as a risk factor for mental health. Psychological interventions must be made to minimize the consequences through social support and social capital.


Author(s):  
Thalyta Cristina Mansano-Schlosser ◽  
Maria Filomena Ceolim

ABSTRACT Objectives: to analyze the factors associated with poor sleep quality, its characteristics and components in women with breast cancer prior to surgery for removing the tumor and throughout the follow-up. Method: longitudinal study in a teaching hospital, with a sample of 102 women. The following were used: a questionnaire for sociodemographic and clinical characterization, the Pittsburgh Sleep Quality Index; the Beck Depression Inventory; and the Herth Hope Scale. Data collection covered from prior to the surgery for removal of the tumor (T0) to T1, on average 3.2 months; T2, on average 6.1 months; and T3, on average 12.4 months. Descriptive statistics and the Generalized Estimating Equations model were used. Results: depression and pain contributed to the increase in the score of the Pittsburgh Sleep Quality Index, and hope, to the reduction of the score - independently - throughout follow-up. Sleep disturbances were the component with the highest score throughout follow-up. Conclusion: the presence of depression and pain, prior to the surgery, contributed to the increase in the global score of the Pittsburgh Sleep Quality Index, which indicates worse quality of sleep throughout follow-up; greater hope, in its turn, influenced the reduction of the score of the Pittsburgh Sleep Quality Index.


2020 ◽  
Vol 70 (6) ◽  
pp. 1640-44
Author(s):  
Syed Sakhawat Kazmi ◽  
Zahid Hassan ◽  
Waseem Alamgir ◽  
Asif Hashmat ◽  
Muhammad Ali Yousaf ◽  
...  

Objective: To determine the frequency of poor sleep quality among the patients of Parkinson’s disease (PD) and analyze its relationship with the socio-demographic factors.Study Design: Correlational study. Place and Duration of Study: Pak Emirates Military Hospital Rawalpindi, from Jan 2019 to Jun 2019. Methodology: One hundred and fifty patients of Parkinson’s disease were approached to participate in this study. Pittsburgh sleep quality index (PSQI) was the psychometric tool used to assess the study parameter for the patients. Age, gender, duration of illness, poly pharmacy and tobacco smoking were corelated with presence of poor quality of sleep among the patients of Parkinson’s disease. Results: Out of 150 patients of Parkinson’s disease screened through Pittsburgh sleep quality index, 85 (56.7%)showed the presence of poor sleep quality while 65 (43.3%) had good sleep quality. Mean age of the patients was 66.2 ± 4.648 years. After applying the logistic regression, we found that increasing age and longer duration of illness had significant association with the presence of poor sleep quality among the patients of Parkinson disease. Conclusion: Previously considered a pure motor disorder, Parkinsonism has a lot of other neuro-psychiatricmanifestations as well. Poor sleep quality turned out to be one of these non-motor problems associated with this chronic debilitating illness. Increasing age and longer duration of illness among these patients emerged asindependent risk factors for poor sleep quality in Parkinsonism.


2018 ◽  
Vol 25 (9) ◽  
pp. 1176-1186 ◽  
Author(s):  
Alexandro Andrade ◽  
Guilherme Torres Vilarino ◽  
Sofia Mendes Sieczkowska ◽  
Danilo Reis Coimbra ◽  
Guilherme Guimarães Bevilacqua ◽  
...  

This study investigated the relationship between sleep quality and fibromyalgia symptoms in 326 patients. The Pittsburgh Sleep Quality Index was used to assess the presence of sleep disorders. Multivariate analysis of variance was performed to determine the influence of fibromyalgia symptoms on sleep quality. The prevalence of sleep disorders was 92.9 percent. Patients reported generalized pain (88.3%), memory failure (78.5%), moodiness (59%), excessive anxiety (77.5%), and concentration difficulties (69.1%). Patients with more symptoms reported poor sleep quality ( p < .05; d = .74), and the total Pittsburgh Sleep Quality Index score correlated with the number of symptoms ( p < .01). Sleep quality has an important association with fibromyalgia symptoms.


2016 ◽  
Vol 2 ◽  
pp. 205521731668277 ◽  
Author(s):  
Mayis Aldughmi ◽  
Jessie Huisinga ◽  
Sharon G Lynch ◽  
Catherine F Siengsukon

Background Perceived fatigue and fatigability are constructs of multiple sclerosis (MS)-related fatigue. Sleep disturbances lead to poor sleep quality, which has been found to be associated with perceived fatigue in people with MS (PwMS). However, the relationship between fatigability and sleep quality is unknown. Objective To explore the relationship between physical and cognitive fatigability with self-reported and objective measures of sleep quality in PwMS. Methods Fifty-one ambulatory PwMS participated in the study. Physical fatigability was measured by percent-change in meters walked on the six-minute walk test (6MWT) and in force exerted on a repeated maximal hand grip test. Cognitive fatigability was measured using response speed variability on the continuous performance test. Self-report sleep quality was measured using the Pittsburgh Sleep Quality Index, and objective sleep quality was measured using 1 week of actigraphy. Results Components of the Pittsburgh Sleep Quality Index and several actigraph parameters were significantly associated with physical fatigability and cognitive fatigability. However, controlling for depression eliminated the association between the sleep outcomes and cognitive fatigability and attenuated the association between the sleep outcomes and physical fatigability. Conclusion Poor sleep quality is related to fatigability in MS but depression appears to mediate these relationships.


Author(s):  
Sharmella Roopchand-Martin

Objectives: This study sought to determine the quality of sleep using the Pittsburgh Sleep Quality Index (PSQI), the presence of sleepiness using the Epworth Sleepiness Scale (ESS) and the association between sleep quality and sleepiness in basketball players in Bermuda. Methods: Once ethical approval was granted, players were recruited from the Bermuda Basketball Association League. All participants completed the PSQI and the ESS questionnaires based on their recollection of events as they occurred over the previous 30 days. Their responses were analysed using the IBM SPSS version 19 for Windows. Results: A total of 71 subjects, mean age 24.96 ± 3.19 years, participated in this study. The mean PSQI score was 7.8 ± 4.7 (scores of 5 or more indicate poor sleep quality). Thirty percent of players rated their sleep quality as fairly bad to very bad. The mean sleepiness score was 7.35 ± 4.17 and over 60% of persons surveyed had more than normal levels of sleepiness. There was a significant correlation between sleep quality and sleepiness; 0.61 (p < 0.01), as well as a correlation between age and Global PSQI which had a score of 0.31 (p < 0.01). Conclusion: Basketball players in Bermuda are experiencing less than optimal sleep. Insomnia was among the most popular self-reported cause of sleep disturbances. Further research is required in this population, exploring causal factors for poor sleep quality. Key words: Athletes, Pittsburgh Sleep Quality Index, Epworth Sleepiness Scale, Sleep Quality.


2020 ◽  
Vol 18 (3) ◽  
pp. 379-385
Author(s):  
Sunil Bogati ◽  
Tulika Singh ◽  
Sagar Paudel ◽  
Baikuntha Adhikari ◽  
Dharanidhar Baral

Background: Sleep is important in maintenance of proper functioning of both mental and physical functions of human body. Studies have shown there is impact on the sleep parameters with the use of caffeine, cigarette and alcohol. As there is little availability of similar studies here in Nepal, we made an attempt to know the relation of consumption of such substances with the sleep quality and sleep parameters as per Pittsburgh Sleep Quality Index scale.  Methods: A cross sectional study was conducted among the undergraduate students at BP Koirala Institute of Health Sciences, Dharan. Students were asked to complete a self- administered questionnaire to give information about demographic variables and habit of consumption of caffeinated beverages, cigarette and alcohol. The Pittsburgh Sleep Quality Index was utilized after the permission from authority to evaluate sleep quality. Results: Out of 350, almost half of the students (44.6%) had poor sleep quality. 40.8% students reported sleeping six hours or less per night and 10.1% used medications to sleep. 96% reported consuming caffeinated beverages, 20% consumed cigarettes and 38.3% consumed alcoholic beverages. There was significant association of poor sleep quality with the increased consumption caffeine, cigarette and alcohol (p<0.05). Conclusions: Poor sleep is prevalent among the undergraduate students of B P Koirala Institute of Health Sciences and the consumption of caffeine, cigarette and alcohol is associated with increment in poor sleep quality among them. Keywords: Caffeinated beverages; pittsburgh sleep quality index


Acta Medica ◽  
2021 ◽  
Vol 52 (2) ◽  
pp. 59-65
Author(s):  
Övsen Önay ◽  
Canset Aydın

Objective: To evaluate the lifestyle factors possibly related with premenstrual syndrome which were body mass index, coffee intake, smoking, regular physical exercise, and alcohol consumption, and investigate the impact of these lifestyle factors and premenstrual syndrome on sleep quality. Methods and Methods: This cross-sectional study included 265 participants, and all applied Pittsburgh Sleep Quality Index and Premenstrual Syndrome Scale questionnaires. Results: The prevalence of premenstrual syndrome among the participants was 57% (n:150). Participants with premenstrual syndrome had shorter total sleep time (p:0.001). Also, they needed longer time to fall asleep (p:0.001). The Pittsburgh Sleep Quality Index scores of the participants with premenstrual syndrome were higher than those without premenstrual syndorme (p<0.001), indicating poor sleep quality. It was observed that the participants with premenstrual syndrome had more coffee intake (p:0.040) and more regular physical activity (p:0.009), which were risk factors of premenstrual syndrome. premenstrual syndrome positivity was associated with increased poor sleep quality in both univariate and multivariate analyses (OR:5.93 95% CI: 3.46-10.15, p<0.001; OR:5.61 95% CI: 3.19-9.88, p<0.001, respectively). The remaining variables, which were risk factors of premenstrual syndrome, didn’t have any statistically significant association with sleep quality. Conclusion: The important relation between premenstrual syndrome and sleep quality is highlighted. Relief of premenstrual syndrome complaints may lead to better sleep quality and enhancement of quality of life for a woman.


2021 ◽  
Author(s):  
ahmad mousavi ◽  
Atieh Mirzababaei ◽  
Farideh Shiraseb ◽  
Khadijeh Mirzaei

Abstract ObjectivePrevious studies have shown the association between diet quality and sleep quality. the objective of this study was to observe the association between modified Nordic diet with sleep quality and circadian rhythm in overweight and obese woman.MethodsWe enrolled 399 overweight and obese women (body mass index (BMI): 25-40 kg/m2) aged 18-48 years in cross-sectional study. For each participant anthropometric measurements, biochemical test and food intake were evaluated. Sleep quality and circadian rhythm was measured by Pittsburgh Sleep Quality Index (PSQI) and Morning Evening Questionnaire (MEQ) questionnaire. Modified Nordic diet score was measured using a validated 147-item food frequency questionnaire (FFQ).ResultsAmong all participants, Overall, 51.7% of the subjects were good sleepers (the Pittsburgh Sleep Quality Index (PSQI) < 5) while 48.3% were poor sleepers (PSQI ≥ 5). Moreover, participants were divided into 5 groups of MEQ namely, completely morning 8(2.4%), rarely morning 82(24.8%), normal 196(59.2%), rarely evening 43(13%), completely evening 2(0.6%). After controlling for confounder there was a significant association between the poor sleep quality and modified Nordic diet (OR=0.80, %95 CI=0.66-0.98, P=0.01). Moreover, a significant positive association was observed between the completely morning and modified Nordic diet (OR=1.80, %95 CI=0.54-6.00, P=0.03) and also a significant reverse association was observed between completely evening type and modified Nordic diet (OR=0.16, %95 CI=0.002-5.41, P=0.02).ConclusionsThe present study indicate that higher adherence to a modified Nordic diet decreases poor sleep quality. Also, the completely morning type associated with higher adherence to a modified Nordic diet and completely evening type associated with lower adherence to a modified Nordic diet.Levels of EvidenceLevel IV, evidence obtained from with multiple time series analysis.


Sign in / Sign up

Export Citation Format

Share Document