scholarly journals Fatigue Is Associated with Poor Sleep in People with Multiple Sclerosis and Cognitive Impairment

2014 ◽  
Vol 2014 ◽  
pp. 1-5 ◽  
Author(s):  
Michelle H. Cameron ◽  
Vanessa Peterson ◽  
Eilis A. Boudreau ◽  
Ashley Downs ◽  
Jesus Lovera ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Cognitive Impairment ◽  
Sleep Quality ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Common Symptom ◽  
Cross Sectional ◽  
Impact Scale ◽  
Quality Sleep ◽  
Fatigue Severity

Background. Fatigue is the most common symptom in people with multiple sclerosis (MS). Poor sleep also occurs in this population.Objective. The objective of this study was to determine the relationship between fatigue and sleep quality in people with MS and cognitive impairment.Method. This cross-sectional study assessed relationships among fatigue, assessed with the Modified Fatigue Impact Scale (MFIS) and the Fatigue Severity Scale (FSS), sleep quality assessed with the Pittsburg Sleep Quality Index (PSQI), and demographics in 121 people with MS and cognitive impairment.Results. Fatigue was significantly correlated with poor sleep quality (MFIS:F=15.60,P<0.01; FSS:F=12.09,P<0.01). FSS scores were also significantly correlated with the PSQI subscore for daytime dysfunction and MFIS scores were significantly correlated with disability, age, and the PSQI subscores for sleep quality, sleep duration, and daytime dysfunction.Conclusions. This study demonstrates a relationship between fatigue and sleep quality in individuals with MS and cognitive impairment.

scholarly journals Effect of sleep quality on academic performance of undergraduate University level students

2021 ◽  
Vol 4 (2) ◽  
pp. 95-99
Author(s):  
Urooj Rafi ◽  
Saira Jahan ◽  
Wardah Ajaz Qazi ◽  
Summyia Siddique ◽  
Nadia Ahmed Bukhari
Keyword(s):  
Academic Performance ◽  
Sleep Quality ◽  
Sampling Technique ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Quality Sleep ◽  
Study Population ◽  
University Level

Introduction: emory processing and learning are enhanced by adequate, high-quality sleep of the appropriate duration. It aids memory processing, executive cognitive functioning and concentration. Academic performance of university students suffers as a result of poorer sleep quality. Objectives: To determine the effect of sleep quality on academic performance of undergraduate university level students. Methodology: This is analytical cross-sectional study and non-probability purposive sampling technique was used. The study population comprised a total 300 students, out of which 50 students were not completed the questionnaire. A total of 250 students, 113 male and 137 female students were participated in this study. A structured questionnaire was circulated among bachelor-level students of different universities in blinded from August 2018 to December 2018.  The questionnaire was based on Pittsburgh Sleep Quality Index along with other relevant data about the students’ age, gender, and discipline of study, respective semester and grades (CGPA or percentage total). The data obtained was analyzed using SPSS 21. Results: Majority of the students had moderately poor sleep quality (Global PSQI score=5). The 17.6% of subjects scored 5 in PSQI and 14.8% of subjects scored 6 in PSQI. However, the students who scored high CGPA (>3.5) had better sleep quality as compared to those who got CGPA <3.5. Conclusion: Majority of the students having poor sleep quality and their grades might be affected. Furthermore, the students who attaining good CGPA (>3.5) had on an average good sleep quality.

scholarly journals Sleep quality, sleep habits, and chronotypes of medical interns at the beginning of their training

2017 ◽  
Vol 5 (20) ◽  
pp. 4 ◽  
Author(s):  
Chok Limsuwat ◽  
Pantaree Aswanetmanee ◽  
Mustafa Awili ◽  
Ahmed Raziuddin ◽  
Supat Thammasitboon
Keyword(s):  
Sleep Quality ◽  
Sleep Problems ◽  
Sleep Hygiene ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Sleep Habits ◽  
Cross Sectional ◽  
Resident Work ◽  
Quality Sleep ◽  
Work Hour

Introduction: Despite the implementation of resident work hour regulations, studieshave not consistently shown beneficial changes in residents’ sleep quality or duration. Wehypothesized that inter-individual sleep-related differences may exist prior to training and thepre-existing sleep health and habits may impact training.Objective: To determine interns’ baseline sleep quality, sleep hygiene, chronotypes, andtheir correlates at the beginning of their residency training program.Methods: A cross-sectional study using an anonymous “Resident Sleep Survey” includedbaseline demographic information and questionnaires, including the Epworth SleepinessScale (ESS), the Pittsburgh’s Sleep Quality Index (PSQI), the Morningness-EveningnessQuestionnaire (MEQ), and the Sleep Hygiene Index (SHI).Results: One hundred and twenty-nine subjects participated the study; 45.7 % (n=59)were male and 18.6 % (n=24) were married. Twenty percent of interns had an ESS >10. ThePSQI revealed that 28% of interns had poor sleep hygiene. The mean sleep efficiency was91.2 ±7.4% estimated from the PSQI. Non-married interns had a lower prevalence of morningchronotypes (22.3% vs. 45.8%, p=0.02). Morning chronotype interns had a lower ESS score(6.1 ±3.1 vs. 7.6 ±3.6, p=0.03) and a lower SHI (29 ±7.0 vs. 34.3 ±7.1, p=0.003).Conclusion: About a quarter of interns had poor sleep quality and excessive daytimesleepiness prior to their training. Non-morning chronotype interns appeared to have moredaytime sleepiness and poorer sleep quality. Since pre-existing sleep problems may adverselyaffect learning, we suggest that strategies to improve sleep hygiene and quality in this specificpopulation should be emphasized early in their training.

scholarly journals The prevalence and risk factors for depressive symptoms in frontline nurses under COVID-19 pandemic based on a large cross-sectional study using the propensity score-matched method

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hongyan Wang ◽  
Xiaoling Dai ◽  
Zichuan Yao ◽  
Xianqing Zhu ◽  
Yunzhong Jiang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Depressive Symptoms ◽  
Sleep Quality ◽  
Psychological Capital ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Sectional Study ◽  
Poor Sleep Quality ◽  
Related Factors ◽  
Cross Sectional

Abstract Introduction To explore the prevalence of depressive symptoms and the associated risk factors in frontline nurses under COVID-19 pandemic. Methods This cross-sectional study was conducted from February 20, 2020 to March 20, 2020 and involved 562 frontline nurses. The effective response rate was 87.68%. After propensity score matched, there were 498 participants left. Extensive characteristics, including demographics, dietary habits, life-related factors, work-related factors, and psychological factors were collected based on a self-reported questionnaire. Specific scales measured the levels of sleep quality, physical activity, depressive symptoms, perceived organization support and psychological capital. Adjusted odds ratios and 95% confidence intervals were determined by binary paired logistic regression. Results Of the nurses enrolled in the study, 50.90% had depressive symptoms. Three independent risk factors were identified: poor sleep quality (OR = 1.608, 95% CI: 1.384–1.896), lower optimism of psychological capital (OR = 0.879, 95% CI: 0.805–0.960) and no visiting friend constantly (OR = 0.513, 95% CI: 0.286–0.920). Conclusions This study revealed a considerable high prevalence of depressive symptoms in frontline nurses during the COVID-19 outbreak, and identified three risk factors, which were poor sleep quality, lower optimism of psychological capital, and no visiting friend constantly. Protecting mental health of nurses is important for COVID-19 pandemic control and their wellbeing. These findings enrich the existing theoretical model of depression and demonstrated a critical need for additional strategies that could address the mental health in frontline nurses for policymakers.

scholarly journals Nutritional status of multiple sclerosis (MS) patients attending Kasr Alainy MS unit: an exploratory cross-sectional study

2021 ◽  
Vol 96 (1) ◽  
Author(s):  
Zeinab E. Afifi ◽  
Rania I. Shehata ◽  
Asmaa F. El Sayed ◽  
El Sayed M. Hammad ◽  
Marwa R. Salem
Keyword(s):  
Multiple Sclerosis ◽  
Nutritional Status ◽  
Dietary Habits ◽  
Care Service ◽  
Structured Interview ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Level Measurement ◽  
Impact Scale

Abstract Background Nutrition was claimed to be a factor in MS causation, course, complications, and management. Several studies were conducted to assess the nutritional status of MS patients; however, few studies were conducted to assess this problem in Egypt. Therefore, the purpose of the current study was to assess the nutritional status of a sample of MS patients. Methods The researchers conducted an exploratory cross-sectional study among 76 relapsing-remitting MS (RRMS) patients attending Kasr Alainy Multiple Sclerosis Unit (KAMSU) from October 2018 to January 2019 to assess the nutritional status of a sample of MS patients. Data were collected using a structured interview questionnaire including an inquiry about the socioeconomic status, and nutritional status using anthropometric measurements, patient-generated subjective global assessment (PG-SGA), semi-quantitative food frequency questionnaires (SQFFQ), and hemoglobin level measurement. Assessment of fatigue was done using the Modified Fatigue Impact Scale 5-items version. Results The mean age of the study participants was 30 ± 6 years. The disease duration ranged from 2 to 264 months. Malnutrition was prevalent among 67.1% (27.6 % overweight, 36.8% obese, and 2.6% underweight). Half of the investigated patients were anemic. According to the PG-SGA, more than half of the studied patients (53.9%) were classified as moderately or suspected malnourished. The unhealthy dietary habits such as taking only a few meals, junk food intake and skipping breakfast were observed in considerable proportions of the group. The SQFFQ revealed overconsumption of energy and fat, and less than acceptable consumption of dietary fibers by most of the studied patients. Conclusions Overweight, obesity, anemia, and unhealthy dietary habits were prevalent among the RRMS patients attending the KAMSU. Nutrition care service is extremely needed for this group of patients.

scholarly journals Association between Depression, Lifestyles, Sleep Quality, and Sense of Coherence in a Population with Cardiovascular Risk

Nutrients ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 585
Author(s):  
Aina Riera-Sampol ◽  
Miquel Bennasar-Veny ◽  
Pedro Tauler ◽  
Mar Nafría ◽  
Miquel Colom ◽  
...  
Keyword(s):  
Cardiovascular Risk ◽  
Sleep Quality ◽  
Mediterranean Diet ◽  
Sense Of Coherence ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Protective Effects ◽  
Cross Sectional ◽  
Health Related ◽  
The Mediterranean

People with cardiovascular risk have more depression than the general population. Depression and cardiovascular risk have been commonly linked to lower sense of coherence (SOC) values, unhealthy lifestyles, and poor sleep quality. The aim of this study was to analyze the association between depression, health-related lifestyles, sleep quality, and SOC in a population with cardiovascular risk. A cross-sectional study was conducted in 310 participants (aged 35–75 years) with cardiovascular risk. Sociodemographic and anthropometric characteristics, cardiovascular risk, SOC score, depression levels, sleep quality, and lifestyles (physical activity, diet quality (measured as the adherence to the Mediterranean diet), and tobacco and alcohol consumption) were determined. The regression analysis showed significant associations between depression levels and sex (odds ratio (OR): 2.29; 95% CI: 1.29, 4.07), diet (OR: 0.85; 95% CI: 0.73, 0.99), body mass index (BMI) (OR: 1.06; 95% CI: 1.01, 1.12), cardiovascular disease (CVD) (OR: 2.55; 95% CI: 1.18, 5.48), sleep quality (OR: 0.26; 95% CI: 0.15, 0.46), and SOC (OR: 0.96; 95% CI: 0.94, 0.98). Protective effects of male sex, a lower BMI, no CVD, a higher adherence to the Mediterranean diet, a high sleep quality, and a higher SOC were found. In conclusion, among lifestyles determined, only diet was associated with depression levels. SOC and sleep quality were also found as significant predictors for depression levels.

scholarly journals POS1465-HPR THE RELATIONSHIP BETWEEN SEDENTARY BEHAVIOR AND SLEEP IN RHEUMATOID ARTHRITIS: A CROSS-SECTIONAL STUDY

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 1017.2-1018
Author(s):  
N. Kelly ◽  
E. Hawkins ◽  
H. O’leary ◽  
K. Quinn ◽  
G. Murphy ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Physical Activity ◽  
Sleep Quality ◽  
Sedentary Behavior ◽  
Disease Duration ◽  
Cross Sectional Study ◽  
P Value ◽  
Poor Sleep ◽  
Cross Sectional ◽  
The Relationship

Background:Rheumatoid arthritis (RA) is a chronic, autoimmune inflammatory condition that affects 0.5% of the adult population worldwide (1). Sedentary behavior (SB) is any waking behavior characterized by an energy expenditure of ≤1.5 METs (metabolic equivalent) and a sitting or reclining posture, e.g. computer use (2) and has a negative impact on health in the RA population (3). Sleep is an important health behavior, but sleep quality is an issue for people living with RA (4, 5). Poor sleep quality is associated with low levels of physical activity in RA (4) however the association between SB and sleep in people who have RA has not been examined previously.Objectives:The aim of this study was to investigate the relationship between SB and sleep in people who have RA.Methods:A cross-sectional study was conducted. Patients were recruited from rheumatology clinics in a large acute public hospital serving a mix of urban and rural populations. Inclusion criteria were diagnosis of RA by a rheumatologist according to the American College of Rheumatology criteria age ≥ 18 and ≤ 80 years; ability to mobilize independently or aided by a stick; and to understand written and spoken English. Demographic data on age, gender, disease duration and medication were recorded. Pain and fatigue were measured by the Visual Analogue Scale (VAS), anxiety and depression were assessed using the Hospital Anxiety and Depression Scale (HADS), and sleep quality was assessed using the Pittsburgh Sleep Quality Index. SB was measured using the ActivPAL4™ activity monitor, over a 7-day wear period. Descriptive statistics were calculated to describe participant characteristics. Relationships between clinical characteristics and SB were examined using Pearson’s correlation coefficients and regression analyses.Results:N=76 participants enrolled in the study with valid data provided by N=72 participants. Mean age of participants was 61.5years (SD10.6) and the majority 63% (n = 47) were female. Participant mean disease duration was 17.8years (SD10.9). Mean SB time was 533.7 (SD100.1) minutes (8.9 hours per day/59.9% of waking hours). Mean sleep quality score was 7.2 (SD5.0) (Table 1). Correlation analysis and regression analysis found no significant correlation between sleep quality and SB variables. Regression analysis demonstrated positive statistical associations for SB time and body mass index (p-value=0.03846, R2 = 0.05143), SB time and pain VAS (p-value=0.009261, R2 = 0.07987), SB time and HADS (p-value = 0.009721, R2 = 0.08097) and SB time and HADSD (p-value = 0.01932, R2 = 0.0643).Conclusion:We found high levels of sedentary behavior and poor sleep quality in people who have RA, however no statistically significant relationship was found in this study. Future research should further explore the complex associations between sedentary behavior and sleep quality in people who have RA.References:[1]Carmona L, et al. Rheumatoid arthritis. Best Pract Res Clin Rheumatol 2010;24:733–745.[2]Anon. Letter to the editor: standardized use of the terms “sedentary” and “sedentary behaviours”. Appl Physiol Nutr Metab = Physiol Appl Nutr Metab 2012;37:540–542.[3]Fenton, S.A.M. et al. Sedentary behaviour is associated with increased long-term cardiovascular risk in patients with rheumatoid arthritis independently of moderate-to-vigorous physical activity. BMC Musculoskelet Disord 18, 131 (2017).[4]McKenna S, et al. Sleep and physical activity: a cross-sectional objective profile of people with rheumatoid arthritis. Rheumatol Int. 2018 May;38(5):845-853.[5]Grabovac, I., et al. 2018. Sleep quality in patients with rheumatoid arthritis and associations with pain, disability, disease duration, and activity. Journal of clinical medicine, 7(10)336.Table 1.Sleep quality in people who have RASleep variableBed Time N(%) before 10pm13(18%) 10pm-12pm43 (60%) after 12pm16 (22%)Hours Sleep mean(SD)6.56 (1.54)Fall Asleep minutes mean(SD)33.3(27.7)Night Waking N(%)45(63%)Self-Rate Sleep mean(SD)2.74 (0.90)Hours Sleep mean(SD)6.56 (1.54)Disclosure of Interests:None declared

scholarly journals The multimorbidity of hypertension and osteoarthritis and relation with sleep quality and hyperlipemia/hyperglycemia in China’s rural population

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Li Ran ◽  
Qi Chen ◽  
Jingyi Zhang ◽  
Xinlong Tu ◽  
Xiaodong Tan ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Regression Models ◽  
Joint Effect ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Sectional Study ◽  
Additive Interaction ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
Remote Rural Area

AbstractHypertension (HTN) and osteoarthritis (OA) are frequent in middle-aged and elderly people, and the co-occurrence of these two diseases is common. However, the pathogenesis of the multimorbidity of both diseases and the relation with sleep quality, hyperlipemia, and hyperglycemia is unclear. We conducted a cross-sectional study to make sense of the multimorbidity of HTN and OA and the relation with sleep quality, hyperlipemia, and hyperglycemia. The relation between sleep quality and OA and its joint effect with hyperlipemia or hyperglycemia was evaluated with logistic regression models. The additive interaction was assessed with the relative excess risk due to interaction (REEI), the attributable proportion (AP), and the synergy index (S). According to this research in a remote rural area, approximately 34.2% of HTN patients are accompanied with OA and 49.1% are suffering poor sleep. Both hyperlipemia/hyperglycemia and sleep quality were related to OA prevalence with crude ORs of 1.43 (95% CI 1.014–2.029) and 1.89 (95% CI 1.411–2.519, P < 0.001) respectively. An observed additive effect was found greater than the sum of the effects of sleep quality and hyperlipemia/hyperglycemia posed on OA prevalence alone. This additive interaction was observed in females (OR = 3.19, 95% CI 1.945–5.237) as well as males ≥ 65 years old (OR = 2.78, 95% CI 1.693–4.557), with RERI, AP, and S significant. Therefore, poor sleep and hyperlipemia/hyperglycemia are associated with OA, and further studies on the additive interaction among females and males ≥ 65 are warranted.

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.

Effect of Confinement by COVID-19 on the Lifestyle of the University Population of Argentina: Evaluation of Physical Activity, Food and Sleep (Efecto del confinamiento por COVID-19 sobre el estilo de vida en población universitaria de Argentina: Evaluaci

Retos ◽  
2021 ◽  
Vol 43 ◽  
pp. 274-282
Author(s):  
Leonardo Intelangelo ◽  
Nacim Molina Gutiérrez ◽  
Nicolás Bevacqua ◽  
Cristian Mendoza ◽  
Iris Paola Guzmán-Guzmán ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Physical Activity Behavior ◽  
Cross Sectional Study ◽  
Lifestyle Changes ◽  
Poor Sleep ◽  
Activity Levels ◽  
Cross Sectional ◽  
Good Nutrition ◽  
University Population

Objective: to determine lifestyle changes, such as physical activity, nutrition, and sleep in an Argentinean university population, caused by confinement during the COVID-19 pandemic. Methods: Cross-sectional study via web survey. 1021 the Argentinean university population (women, n = 645 and men, n = 376) aged between 18–70 years old was participate. Survey was utilized to measure participant physical activity behavior, nutrition, and sleep April to May 2020. Results: the main findings revealed that 4.3% of the sample showed obesity; the highest proportion of the sample stayed more than 6 hours in a sedentary status; 21.74% reported bad sleep quality; a reduction in good feeding pattern; and an increase in subjects who do not perform physical activity. According to socio-demographic and anthropometric factors, being a student (OR 2.19, CI95% 1.18 - 4, p= .012), overweight (OR 1.71, CI95% 1.19 – 2.44, p= .003), obesity (OR 4.45, CI95% 2.27 – 8.7, p< .001), and have been confined more than 45 days was associated with bad feeding. Likewise, low physical activity levels were associated with obesity (OR 3.2 CI95% 1.66 – 6.18, p= .001), being female (OR 1.61, CI95% 1.14 –2.28, p= .006) and get married (OR 1.72, CI95% 1.14 – 2.61, p= .009). Moreover, being a student was associated with poor sleep quality (OR 43.6, CI95%5.4 – 350, p< .001). Conclusion: This study suggests that confinement decreased healthy living habits such as good nutrition and physical activity and affected the quality of sleep in young subjects.  Resumen. Objetivo: determinar los cambios en el estilo de vida, como la actividad física, la nutrición y el sueño en una población universitaria argentina, causados por el confinamiento durante la pandemia de COVID-19. Métodos: Estudio transversal mediante encuesta por Internet. Participaron 1021 personas de la población universitaria argentina (mujeres, n = 645 y hombres, n = 376) de entre 18 y 70 años de edad. La encuesta fue utilizada para medir el comportamiento de la actividad física, la nutrición y el sueño de los participantes de abril a mayo de 2020.Resultados: los principales hallazgos mostraron que el 4,3% de la muestra presentaba obesidad; la mayor proporción de la muestra permaneció más de 6 horas en estado sedentario; el 21,74% informó sobre la mala calidad del sueño; una reducción de los hábitos correctos de alimentación; y un aumento de los participantes que no realizan actividad física. De acuerdo con factores socio-demográficos y antropométricos, ser estudiante (OR 2.19, CI95% 1.18 - 4, p= .012), el sobrepeso (OR 1.71, CI95% 1.19 - 2.44, p= .003), la obesidad (OR 4.45, CI95% 2.27 - 8.7, p< .001), y haber estado confinado más de 45 días se asoció con una mala alimentación. Asimismo, los bajos niveles de actividad física se asociaron con la obesidad (OR 3,2; IC95% 1,66 - 6,18, p= .001), ser mujer (OR 1,61; IC95% 1,14 -2,28, p= .006) y estar casado (OR 1,72; IC95% 1,14 - 2,61, p= .009). Además, ser estudiante se asoció con una mala calidad de sueño (OR 43,6, CI95% 5,4 - 350, p< .001). Conclusión: Este estudio sugiere que el confinamiento disminuyó los hábitos de vida saludables como la buena nutrición, la actividad física, y afectó la calidad del sueño en sujetos jóvenes.

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