The relationship between the nutritional status and sleep quality of patients with atrial fibrillation

Introduction Pregnancy is characterized by several changes in her body. These changes contribute to the emergence of low back pain, which may influence the quality of sleep during pregnancy. Objective To compare the quality of sleep among pregnant women with and without low back pain during pregnancy, examining the relationship between two variables. Materials methods Thirty volunteers aged between 19 and 36 years, divided into control group (CG – n = 16) and Study Group (SG – n = 14), residents in the cities of Natal, were evaluated in the second trimester of pregnancy. To sleep evaluation were used to index the Pittsburgh Sleep Quality and the Epworth Sleepiness Scale. Low back pain was evaluated using the pressure algometer, Visual Analogue Scale (VAS) and Oswestry Disability Index. Statistical analysis used the Shapiro Wilk test, Student’s T test for independent samples and Pearson correlation test. Results The mean gestational and chronological ages were 28.2 ± 3.4 years and 19.9 ± 3.7 weeks, respectively. Sleep quality was lower in SG (8.21 ± 4.8) when compared to CG (5.94 ± 1.7) and was statistically significant (P = 0.021). Analyzing the relationship between sleep quality and pain intensity, it was observed that the variables have a positive correlation between them (r = 0.372, P = 0.043). Conclusion Our findings indicate that sleep quality is decreased in women with low back pain compared to those without pain.

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Prediction of Diabetic Nephropathy from the Relationship between Fatigue, Sleep and Quality of Life

Applied Sciences ◽

10.3390/app10093282 ◽

2020 ◽

Vol 10 (9) ◽

pp. 3282

Author(s):

Angela Shin-Yu Lien ◽

Yi-Der Jiang ◽

Jia-Ling Tsai ◽

Jawl-Shan Hwang ◽

Wei-Chao Lin

Keyword(s):

Quality Of Life ◽

Feature Selection ◽

Diabetic Nephropathy ◽

Sleep Quality ◽

Support Vector ◽

Svm Classifier ◽

Poor Sleep ◽

Poor Sleep Quality ◽

The Relationship

Fatigue and poor sleep quality are the most common clinical complaints of people with diabetes mellitus (DM). These complaints are early signs of DM and are closely related to diabetic control and the presence of complications, which lead to a decline in the quality of life. Therefore, an accurate measurement of the relationship between fatigue, sleep status, and the complication of DM nephropathy could lead to a specific definition of fatigue and an appropriate medical treatment. This study recruited 307 people with Type 2 diabetes from two medical centers in Northern Taiwan through a questionnaire survey and a retrospective investigation of medical records. In an attempt to identify the related factors and accurately predict diabetic nephropathy, we applied hybrid research methods, integrated biostatistics, and feature selection methods in data mining and machine learning to compare and verify the results. Consequently, the results demonstrated that patients with diabetic nephropathy have a higher fatigue level and Charlson comorbidity index (CCI) score than without neuropathy, the presence of neuropathy leads to poor sleep quality, lower quality of life, and poor metabolism. Furthermore, by considering feature selection in selecting representative features or variables, we achieved consistence results with a support vector machine (SVM) classifier and merely ten representative factors and a prediction accuracy as high as 74% in predicting the presence of diabetic nephropathy.

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The relationship between nutritional status, functional capacity, and health-related quality of life in older adults with type 2 diabetes: A pilot explanatory study

The journal of nutrition health & aging ◽

10.1007/s12603-013-0028-5 ◽

2013 ◽

Vol 17 (4) ◽

pp. 315-321 ◽

Cited By ~ 17

Author(s):

R. M. Alfonso-Rosa ◽

Borja del Pozo-Cruz ◽

J. Del Pozo-Cruz ◽

J. T. Del Pozo-Cruz ◽

B. Sañudo

Keyword(s):

Quality Of Life ◽

Type 2 Diabetes ◽

Older Adults ◽

Nutritional Status ◽

Health Related Quality ◽

Related Quality ◽

Health Related ◽

The Relationship

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The Relationship Among Sleep Quality, the Stages of Change Readiness and Treatment Eagerness Scale, Abstinence Self-efficacy, and Quality of Life with Alcohol Use Disorder in South Korea

Global Journal of Health Science ◽

10.5539/gjhs.v12n4p69 ◽

2020 ◽

Vol 12 (4) ◽

pp. 69

Author(s):

EunJu Song

Keyword(s):

Quality Of Life ◽

Alcohol Use ◽

Sleep Quality ◽

Stages Of Change ◽

Self Efficacy ◽

Sleep Disturbances ◽

Alcohol Use Disorder ◽

Sleep Problems ◽

The Relationship

Many patients with alcohol use disorder experienced insomnia or sleep disturbances. However, their sleep problems rarely addressed in the treatment process. It may prove beneficial if treatment programs should intend to help prevent the recurrence of alcohol use disorder by solving patients’ sleep-induced problems and accordingly include appropriate sleep interventions. The present study employed a descriptive design and conducted a cross-sectional survey to assess the relationship among sleep quality, score on the Stages of Change Readiness and Treatment Eagerness Scale (SOCRATES), abstinence self-efficacy, and quality of life in inpatients with alcohol use disorders. Data were collected from June to August 2018, from 117 patients admitted to the psychiatric ward for alcohol-use patients in two mental hospitals in South Korea. Sleep quality was significantly correlated with the SOCRATES score (r = .247, p = .007) and quality of life (r = -.346, p = .001). However, it showed no relationship with abstinence self-efficacy (r = -.066, p = .477). These findings suggest that abstinence programs need to employ a comprehensive approach instead of primarily focusing on maintaining abstinence and cessation of alcohol use. However, both sleep disturbances and alcohol abstinence require patience and prolonged treatment. Thus, it is a challenge to design concrete interventions to address the sleep problems experienced by patients with alcohol use disorder.

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Medical students’ attention in EFL class: roles of academic expectation stress and quality of sleep

Applied Linguistics Review ◽

10.1515/applirev-2021-0040 ◽

2021 ◽

Vol 0 (0) ◽

Author(s):

Po-Chi Kao

Keyword(s):

Medical Students ◽

Sleep Quality ◽

Structural Equation ◽

Equation Modeling ◽

Research Model ◽

Quality Of Sleep ◽

Class A ◽

Medical University ◽

The Relationship

Abstract This study proposed and tested a conceptual model of academic expectation stress, sleep quality, and attention in EFL class. These variables did not receive much attention in previous studies but are considered important to medical students’ attention in EFL class. Data were collected from 496 medical students from a medical university in Taiwan. Structural Equation Modeling (SEM) technique was used to examine the path effect in the research model. The results found that (1) higher academic expectation stress leads to higher attention in EFL class; (2) higher academic stress causes poorer sleep quality; (3) poorer sleep quality leads to lower attention in EFL class. A mediator was also identified in this model: sleep quality was found to partially mediate the relationship between academic expectation stress and attention in EFL class. The results may advance the current literature in medical education and applied linguistics by moving a step closer to understand these three variables.

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Metabonomics Study of Ginseng Glycoproteins on Improving Sleep Quality in Mice

BioMed Research International ◽

10.1155/2019/2561828 ◽

2019 ◽

Vol 2019 ◽

pp. 1-9 ◽

Cited By ~ 2

Author(s):

Ying Wang ◽

Difu Zhu ◽

Yinghong Chen ◽

Ruizhi Jiang ◽

Hong Xu ◽

...

Keyword(s):

Sleep Quality ◽

Brain Metabolism ◽

Gas Chromatography Mass Spectrometry ◽

Control Group ◽

Glutamate Metabolism ◽

Multivariate Statistical ◽

Hormone Biosynthesis ◽

The Relationship ◽

Further Development

The changes of brain metabolism in mice after injection of ginseng glycoproteins (GPr) were analyzed by gas chromatography mass spectrometry- (GC/MS-) based metabolomics platform. The relationship between sedative and hypnotic effects of ginseng glycoproteins and brain metabolism was discussed. Referring to pentobarbital sodium subthreshold test, we randomly divided 20 mice into two groups: control and ginseng glycoproteins group. The mice from the control group were treated with normal saline by i.p and GPr group were treated with 60 mg/kg of GPr by i.p. The results indicated that GPr could significantly improve the sleep quality of mice. Through multivariate statistical analysis, we found that there were 23 differential metabolites in whole brain tissues between the control group and the GPr group. The pathway analysis exhibited that GPr may be involved in the regulation of the pathway including purine metabolism, nicotinate and nicotinamide metabolism, glycine, serine and threonine metabolism, arginine and proline metabolism, alanine, aspartate and glutamate metabolism, and steroid hormone biosynthesis. This work is helpful to understand the biochemical mechanism of GPr on promoting sleep and lay a foundation for further development of drugs for insomnia.

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Passion for an activity: a new predictor of sleep quality

SLEEP ◽

10.1093/sleep/zsaa107 ◽

2020 ◽

Vol 43 (12) ◽

Author(s):

Jocelyn J Bélanger ◽

Karima A Raafat ◽

Claudia F Nisa ◽

Birga M Schumpe

Keyword(s):

Sleep Quality ◽

Well Being ◽

Depressive Mood ◽

Future Research ◽

Sleep Habits ◽

Harmonious Passion ◽

Obsessive Passion ◽

Mood Symptoms ◽

The Relationship

Abstract Study Objectives The present research examines the relationship between people’s frequent involvement in an activity they like and find important (i.e., a passion) and the quality of their sleep. Research on the dualistic model of passion has widely documented the relationship between individuals’ type of passion—harmonious versus obsessive—and the quality of their mental and physical health. However, research has yet to examine the relationship between passion and sleep quality. Building on prior research has shown that obsessive (vs harmonious) passion is related to depressive mood symptoms—an important factor associated with sleep problems—we hypothesized that obsessive passion would be associated with overall worse sleep quality, whereas harmonious passion would predict better sleep quality. Methods A sample of 1,506 Americans filled out an online questionnaire on sleep habits and passion. Sleep quality was measured using the Pittsburgh Sleep Quality Index. Hierarchical linear regressions and mediation analyses were carried out with results confirming our hypotheses. Results Obsessive passion for an activity was associated with worse sleep quality, whereas harmonious passion was associated with better sleep quality, adjusting for demographics, the type of passionate activity and its self-reported importance, alcohol and tobacco consumption, BMI, self-reported health, and diagnosed health conditions. The relationship between both types of passion and sleep quality was mediated by depressive mood symptoms. Conclusions Our study presents evidence of a strong relationship between sleep quality and passion, opening the door for future research to create new interventions to improve people’s sleep and, consequently, their well-being.

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