scholarly journals Does smoking impair sleep hygiene?

2021 ◽  
Author(s):  
Didem Görgün HATTATOĞLU ◽  
Şenay AYDIN ◽  
Birsen Pınar YILDIZ
Keyword(s):  
Quality Of Life ◽  
Sleep Quality ◽  
Short Form ◽  
Sleep Hygiene ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Depression And Anxiety ◽  
Cross Sectional ◽  
Quality Of Life Scale

ABSTRACT Background: Sleep architecture and sleep hygiene might be disrupted by several pathogenetic mechanisms, and the effect of smoking has not been evaluated. Objective: To investigate the effect of smoking on sleep hygiene behaviors that might be associated with the deterioration of quality-of-life (QoL) parameters. Methods: In a prospective cross-sectional study, smokers (n=114) and nonsmokers (n=119) were included. The Pittsburgh Sleep Quality İndex (PSQI), the Epworth Daytime Sleepiness Scale (ESS), the Sleep Hygiene Index (SHI), and the Short Form-36 quality of life scale (SF-36) were applied. Results: We found that none of the components, as well as the PSQI total score were affected in smokers compared with the nonsmoker controls (65.5% of smokers had poor sleep compared to 62.5% of nonsmokers). Although smokers tend to get out of bed at different times from day to day and do important work before bedtime (components of the SHI) more often than non-smokers, no significant differences were detected between groups in any component and SHI total score (27.91±6.72 for smokers and 29.23±8.0 for non-smokers). ESS, depression and anxiety symptoms, and SHI scores in smokers with poor sleep quality were significantly different compared with smokers that had normal sleep quality. Both PSQI and SHI scores were inversely associated with QoL parameters. Conclusions: Our results suggest that smoking by itself is not associated with poor sleep hygiene or sleep quality. It can be concluded that worse SHI and quality of sleep negatively affect QoL, depression, and anxiety in smokers.

scholarly journals Magnitude and correlates of sleep quality among undergraduate medical students in Ethiopia: cross –sectional study

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Tirusew Wondie ◽  
Alemayehu Molla ◽  
Haregewoin Mulat ◽  
Woynabeba Damene ◽  
Mengistu Bekele ◽  
...  
Keyword(s):  
Medical Students ◽  
Sleep Quality ◽  
Sleep Hygiene ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Quality Of Sleep ◽  
Undergraduate Medical Students ◽  
Poor Sleep Quality ◽  
Cross Sectional

Abstract Purpose Poor quality of sleep has a negative effect on academic performance of medical students. Quantity and quality of sleep in addition to average sleep time are strongly linked with students’ learning abilities, poor academic performance and poor interpersonal relationship which predispose them to mental illnesses. This study is aimed to assess magnitude and correlates of sleep quality among medical students in Ethiopia. Method An institutional based cross-sectional study was conducted among 576 undergraduate medical students. Data was collected by using interviewer administered structured questionnaires. Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality. The collected data were entered in to Epi-data version 3.1and analyzed using SPSS version 20. Logistic regression was used to identify the potential determinants of quality of sleep among undergraduate medical students. P-values less than 0.05 were considered statistically significant and strength of the association was presented by adjusted odds ratio with 95% C.I. Result The prevalence of poor sleep quality among undergraduate medical students was 62% (95%CI, 57.9, 65.3). The mean age (±SD) of the respondents was 21.5(±2.4), with age ranging from 18 to 28 and about 310 (53.8%) were males. Factors like, being depressed (AOR = 1.92,95%CI 1.16,3.19), poor social support (AOR = 5.39,95%CI 2.33,2.49), being stressed (AOR = 2.04,95%CI 1.26,3.31), and poor sleep hygiene (AOR = 3.01,95%CI 1.75,5.18) were associated with poor sleep quality at p-value < 0.05. Findings also showed that, one unit increase in grade point average was associated with 81.5% decrease (AOR = 0.185, 95%CI 0.13, 0.28) in poor sleep quality. Conclusion A substantial proportion of medical students are affected by poor sleep quality. Routine screening of sleep quality, sleep hygiene, depression and stress is warranted. Moreover, it is better to educating medical students about proper sleep hygiene and the consequences of poor sleep.

scholarly journals Quality of life in multiple sclerosis: The differential impact of motor and cognitive fatigue

2021 ◽  
Vol 7 (1) ◽  
pp. 205521732199604
Author(s):  
Sabina David Ruban ◽  
Claudia Christina Hilt ◽  
Thor Petersen
Keyword(s):  
Quality Of Life ◽  
Multiple Sclerosis ◽  
Short Form ◽  
Cross Sectional Study ◽  
University Hospital ◽  
Cognitive Fatigue ◽  
Cross Sectional ◽  
Impact Scale ◽  
Assessment And Treatment

Background Multiple sclerosis is a chronic disease leading to reduced quality of life. Objectives To investigate whether motor and cognitive fatigue impact differently on aspects of quality of life among patients with multiple sclerosis, independently from bodily disability. Methods 79 patients with multiple sclerosis from Aalborg University Hospital, Denmark were included in an observational, cross-sectional study. Each subject completed two separate questionnaires regarding fatigue (Fatigue Scale for Motor and Cognitive Functions and Modified Fatigue Impact Scale) and one regarding quality of life (Short Form 36). Disability was measured with the Expanded Disability Status Scale (EDSS)-scores obtained from patient records. Results All fatigue scores were significantly correlated to all areas of quality of life (p < 0,05). This remained significant after adjustment for age, disease duration and EDSS-score. When looking at each type of fatigue separately, cognitive fatigue correlated mainly with mental health aspects of quality of life and motor fatigue with physical health areas of quality of life. Conclusion Increased motor and cognitive fatigue lead to a differential reduction in physical and mental quality of life, independently of bodily disability. This underlines the importance of proper assessment and treatment of fatigue among patients with multiple sclerosis.

scholarly journals Predictors of quality of life among patients on dialysis in southern Brazil

2008 ◽  
Vol 126 (5) ◽  
pp. 252-256 ◽  
Author(s):  
Maristela Bohlke ◽  
Diego Leite Nunes ◽  
Stela Scaglioni Marini ◽  
Cleison Kitamura ◽  
Marcia Andrade ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Peritoneal Dialysis ◽  
Short Form ◽  
Outcome Measurement ◽  
Cross Sectional Study ◽  
Southern Brazil ◽  
Cross Sectional ◽  
Sf 36 ◽  
Dialysis Facilities

CONTEXT AND OBJECTIVE: Quality of life (QoL) is considered important as an outcome measurement, especially for long-term diseases such as chronic renal failure. The present study searched for predictors of QoL in a sample of patients undergoing dialysis in southern Brazil. DESIGN AND SETTING: This was a cross-sectional study developed in three southern Brazilian dialysis facilities. METHODS: Health-related QoL of patients on hemodialysis or peritoneal dialysis was measured using the generic Short Form-36 (SF-36) health survey questionnaire. The results were correlated with sociodemographic, clinical and laboratory variables. The analysis was adjusted through multiple linear regression. RESULTS: A total of 140 patients were assessed: 94 on hemodialysis and 46 on peritoneal dialysis. The mean age was 54.2 ± 15.4 years, 48% were men and 76% were white. The predictors of higher (better) physical component summary in SF-36 were: younger age (β-0.16; 95% confidence interval, CI: -0.27 to -0.05), shorter time on dialysis (β-0.06; 95% CI: -0.09 to -0.02) and lower Khan comorbidity-age index (β 5.16; 95% CI: 1.7-8.6). The predictors of higher mental component summary were: being employed (β 8.4; 95% CI: 1.7-15.1), being married or having a marriage-like relationship (β 4.56; 95% CI: 0.9-8.2), being on peritoneal dialysis (β 4.9; 95% CI: 0.9-8.8) and not having high blood pressure (β 3.9; 95% CI: 0.3-7.6). CONCLUSIONS: Age, comorbidity and length of time on dialysis were the main predictors of physical QoL, whereas socioeconomic issues especially determined mental QoL.

scholarly journals Factors associated with quality of life and work ability among Finnish municipal employees: a cross-sectional study

BMJ Open ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. e035544
Author(s):  
Elina Bergman ◽  
Eliisa Löyttyniemi ◽  
Saana Myllyntausta ◽  
Päivi Rautava ◽  
Päivi Elina Korhonen
Keyword(s):  
Quality Of Life ◽  
Sleep Quality ◽  
Occupational Stress ◽  
Work Ability ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Public Sector Employees ◽  
University Level ◽  
Good Sleep

ObjectivesQuality of life (QoL) and work ability are elementary parts in defining the well-being of an employed person. The aim of this study was to demonstrate factors associated with QoL and self-reported work ability among public sector employees, while taking into account several confounding factors, including sleep quality, occupational stress and psychological symptoms.MethodsA cross-sectional study was conducted in Finland among 710 employees (89% women, mean age 49 (SD=10) years) from 10 municipal work units in 2015. Information about the participants was collected by physical examination, self-administered questionnaire and from medical history. QoL was assessed with the EUROHIS-Quality of Life 8-item index and work ability with the Work Ability Score (WAS).ResultsThe EUROHIS-QOL mean score among all participants was 4.07 (95% CI 4.03 to 4.11). QoL was positively associated with good sleep quality, cohabiting, university-level education and lower body mass index (BMI), and negatively associated with occupational stress, depression and/or anxiety and disease burden. Work ability was reported good or excellent by 80% of the participants and the WAS mean score among all participants was 8.31 (95% CI 8.21 to 8.41). Work ability was positively associated with good sleep quality, younger age, lower BMI and university-level education, and negatively associated with occupational stress and disease burden.ConclusionsOccupational stress and self-reported sleep quality were strongly associated with both QoL and work ability among Finnish public sector employees. These findings highlight the need for screening and handling of work stress and sleep problems in occupational and primary healthcare.

scholarly journals Social support, functional outcome and quality of life among stroke survivors in an urban area

2019 ◽  
Vol 13 ◽  
Author(s):  
Nipaporn Butsing ◽  
Mathuros Tipayamongkholgul ◽  
Disya Ratanakorn ◽  
Nawarat Suwannapong ◽  
Kanitta Bundhamcharoen
Keyword(s):  
Quality Of Life ◽  
Social Support ◽  
Functional Outcome ◽  
Short Form ◽  
Cross Sectional Study ◽  
Linear Regression Method ◽  
Stroke Survivors ◽  
Cross Sectional ◽  
The Mean

AbstractSophisticated medical technologies can prolong a stroke patient’s life but not always their quality of life (QoL) due to poor functional outcomes. Social support can theoretically assist a patient’s adaptation to life after stroke and improve their QoL, but existing findings are inconclusive. This inconclusiveness is especially found in large cities where family and social bonding can be scarce. We conducted a hospital-based, cross-sectional study among 358 stroke patients to identify the effects of social support and functional outcome on QoL and its domains. The study took place in Bangkok, Thailand between July and December 2016. Data were collected by personal interview using a structured questionnaire that included the Short-Form WHO Quality of Life Instrument (WHOQOL-BREF) and by review of medical records. A hierarchical linear regression method was used to analyze data. The mean age of stroke respondents was 66.0 years (SD 13.5 years), and half were male. The mean total QoL score for patients was 68.6 (SD 15.2). Hierarchical multiple regression analysis found emotional support significantly impacted QoL in every domain (ps < .05) when all included variables were controlled for. To improve the quality of life among stroke survivors, health personnel and family members should provide not only physical assistance but also psychological support.

scholarly journals The quality and characteristics of sleep of hypertensive patients

2015 ◽  
Vol 49 (4) ◽  
pp. 0596-0602 ◽  
Author(s):  
Juliét Silveira Hanus ◽  
Graziela Amboni ◽  
Maria Inês da Rosa ◽  
Luciane Bisognin Ceretta ◽  
Lisiane Tuon
Keyword(s):  
Sleep Quality ◽  
Pittsburgh Sleep Quality Index ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Quality Of Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Registration System ◽  
Hypertensive Patients

OBJECTIVEAnalyzing the quality of sleep of hypertensive patients registered in the national registration system and monitoring of hypertensive patients.METHODSA cross-sectional study of quantitative and descriptive analyses with 280 hypertensive patients registered in the National Program of Hypertension and Diabetes of the Federal Government in the months from August to October 2011. Questionnaires were used which allowed for tracking sociodemographic data on hypertension and Pittsburgh Sleep Quality Index (PSQI).RESULTSThe prevalence of poor sleep quality among respondents (156 hypertensive patients) and high rates of using medication for sleeping (106 hypertensive patients) was observed. Other relevant data refers to the quality of sleep among hypertensive patients using sleep medication compared to those who do not use it (p≤0.01).CONCLUSIONIndividuals with high blood pressure have a negative association with sleep quality.

scholarly journals Depression and quality of life in mothers of children with pervasive developmental disorders

2010 ◽  
Vol 18 (1) ◽  
pp. 33-40 ◽  
Author(s):  
Maria Ângela Fávero-Nunes ◽  
Manoel Antônio dos Santos
Keyword(s):  
Quality Of Life ◽  
Pervasive Developmental Disorders ◽  
Developmental Disorders ◽  
Family Income ◽  
Positive Association ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Demographic Profile ◽  
Quality Of Life Scale

The aim of this study was to evaluate the prevalence of dysphoria/depressive symptoms in mothers of autistic children and to identify correlations between quality of life and socio-demographic profile. An exploratory, descriptive and cross-sectional study was carried out, involving 20 mothers, by applying a socio-demographic profile questionnaire, the Brazilian version of the Beck Depression Inventory (BDI) and the WHOQOL-Bref quality of life scale. Dysphoria/depression criteria were found in 15% of the mothers. Overall quality of life was evaluated as positive in 70%, however only 40% were satisfied with their health. The Physical domain (mean=69.4) was perceived as the best, and environment domain as the worst (mean=60.8). Quality of life had a positive association with family income and level of education, and a negative association with depression. Considering the results, further research, especially on those variables that were not statistically relevant, is suggested.

scholarly journals Quality of life and stress in caregivers of drug-addicted people

2012 ◽  
Vol 25 (spe2) ◽  
pp. 7-12
Author(s):  
Samira Reschetti Marcon ◽  
Elizete Aparecida Rubira ◽  
Mariano Martinez Espinosa ◽  
Angélica Belasco ◽  
Dulce Aparecida Barbosa
Keyword(s):  
Quality Of Life ◽  
Short Form ◽  
Psychosocial Care ◽  
Cross Sectional Study ◽  
Depression Symptoms ◽  
Cross Sectional ◽  
Mato Grosso ◽  
Burden Scale ◽  
Emotional Aspects

OBJECTIVE: To evaluate quality of life and presence of stress in caregivers of drug-addicted people. METHODS: This cross-sectional study was carried out at four Psychosocial Care Centers in Mato Grosso. Demographic and quality of life data were collected for 109 caregivers using the Medical Outcomes Study 36 - Item Short-form, depression symptoms (Beck Depression Inventory) and stress of caregivers (Caregiver Burden Scale). RESULTS: Of 109 caregivers, 55.9% were mothers with a mean age of 47.66 years; 23.8% had depressive symptoms. The SF36 scores most compromised were emotional aspects, vitality, pain and mental health. Mean stress among caregivers was 2.24. A significant correlation in quality of life, depression and stress of caregivers was seen. CONCLUSION: Findings confirmed that quality of life is compromised and stress is high among caregivers, highlighting the need for providing emotional support.

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