Sleep Quality and Nutritional Intake in Subjects with Sleep Issues According to Perceived Stress Levels

The energy drink consumption habits of nurses working in clinical settings is unknown. Utilizing a descriptive-comparison design, researchers examined the caffeine and energy drink habits of clinical nurses and relationships or differences that existed with their sleep quantity, sleep quality, and perceived stress levels. Data were analyzed using descriptive and inferential statistics. Significant relationships existed between energy drink consumption and sleep quality, sleep quantity, and perceived stress levels. Nurses who consumed energy drinks had poorer sleep quality and fewer sleep hours compared with caffeine-only consumers and noncaffeine consumers. Nurses who consumed energy drinks also had increased levels of perceived stress than noncaffeine consumers. Educating nurses regarding energy drink ingredients and relationships that exist between energy drink consumption, sleep, and perceived stress could be beneficial. Future studies are needed to examine motivational factors related to energy drink consumption as well as any health or safety implications that might be associated.

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SLEEP ASSESSMENT AND PERCEIVED STRESS AMONGST MEDICAL POSTGRADUATE RESIDENTS

International Journal of Medical and Biomedical Studies ◽

10.32553/ijmbs.v3i6.287 ◽

2019 ◽

Vol 3 (6) ◽

Author(s):

Jay Rajesh Ajgaonkar ◽

Mukta Pritam Bidikar

Keyword(s):

Sleep Quality ◽

Sleep Deprivation ◽

Perceived Stress ◽

Daytime Sleepiness ◽

Epworth Sleepiness Scale ◽

Healthcare Delivery ◽

Poor Sleep ◽

Healthcare Delivery System ◽

Pearson Coefficient ◽

Stress Levels

Background: Medical graduates who enter into residency programmes form the backbone of the healthcare delivery system of the country. They are often expected to work for long hours which leads to sleep deprivation and increase in the perceived stress levels. Chronic sleep deprivation leads to destruction of sleep architecture. It may also compromise patient care. We examine the relationship between these two variables through this study. Material and methods: 50 resident doctors from different specialties of medicine were administered three validated questionnaires: the Epworth sleepiness scale (ESS), Pittsburgh sleep quality index (PSQI) and Cohen’s perceived stress scale (PSS-10) to assess the daytime sleepiness, sleep quality and perceived stress levels respectively. Result: A total of 56% residents reported greater than average scores on the ESS (Mean score=11.02 + 5.5161, Range= 1-24). On the PSQI, 78% residents reported poor sleep quality (Mean score=6.98 + 3.146, range= 0-15) whereas on the PSS-10, 84% of the residents reported moderate to high levels of perceived stress (Mean score=19.16+7.138, range=3-37). Significant correlation was found between ESS and CPSS (Pearson coefficient=0.4738, p<0.01) as well as PSQI and CPSS (Pearson coefficient=0.3024, p<0.05). It is hypothesised that there is a causal relationship between daytime sleepiness perceived stress levels as well as sleep quality and perceived stress levels. KEYWORDS: Sleep deprivation, Perceived stress, Stress levels, Epworth Sleepiness scale, sleep quality.

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The Relationship of Stress and Sleep Quality amongst Cognitive Science Students

Trends in Undergraduate Research ◽

10.33736/tur.1911.2021 ◽

2021 ◽

Vol 4 (1) ◽

pp. e1-7

Author(s):

CAR LYN CHEONG ◽

KOCK WAH TAN

Keyword(s):

Sleep Quality ◽

Cognitive Science ◽

Undergraduate Students ◽

Perceived Stress ◽

High Stress ◽

Well Being ◽

Poor Sleep ◽

Stress Levels ◽

Malaysian Students ◽

The Relationship

Stress is a common problem in modern life. Most Malaysian students suffer from high stress levels and poor sleep quality without realising their harmfulness to health and well-being. The major focus of the paper is to examine the relationship between stress and sleep quality among Cognitive Science undergraduate students. This paper also investigates if demographic attributes (gender differences and year of study) affect stress level and sleep quality. The participants of this study comprised 90 Cognitive Science undergraduate students studying at the Universiti Malaysia Sarawak. Data was collected by using the Perceived Stress Questionnaire (Perceived Stress Scale) and Sleep Quality Questionnaire (Pittsburgh Sleep Quality Index). The results of the study showed that there was a weak relationship between stress and sleep quality. Those in the poor sleep category reported higher levels of perceived stress. Moreover, the findings showed that female students had higher stress levels than male students. First year students appeared to experience poorer sleep quality compared to final year students. The study also found no interaction effects between gender and year of study on sleep quality and stress. Further research could be conducted with a bigger population size and in other study programs. Future research could also assess non-demographic factors which might influence stress and sleep quality.

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Stress level and sleep quality of nurses during the COVID-19 pandemic

Work ◽

10.3233/wor-210538 ◽

2021 ◽

pp. 1-9

Author(s):

Şebnem Bilgiç ◽

Ülfiye Çelikkalp ◽

Cem Mısırlı

Keyword(s):

Sleep Quality ◽

Perceived Stress ◽

Stress Level ◽

Sleep Problems ◽

High Stress ◽

Cross Sectional Study ◽

Cross Sectional ◽

The Family ◽

Stress Levels

BACKGROUND: COVID-19 infection is transmitted easily and quickly, and nurses constitute the riskiest group of healthcare workers. Therefore, they may experience high levels of stress and sleep problems. OBJECTIVE: This study was conducted in order to evaluate the stress levels and sleep quality of nurses working during the COVID-19 pandemic. METHODS: The cross-sectional study was conducted with 316 nurses working in a pandemic hospital in a city center. A descriptive form, the Pittsburgh Sleep Quality Index (PSQI), and the Perceived Stress Scale (PSS) were used to collect data. RESULTS: A positive, moderately significant correlation was found between the average PSQI score of nurses and the average perceived stress score (p≤0.001). Multiple regressions determined that shift work, stress level, a coworker having COVID-19, being out of home due to the risk of transmission, and having a person older than 65 in the home were effective predictors of sleep quality (R2 = 33.5, p≤0.001). Age, years worked, fear of infecting the family with COVID-19, receiving COVID-19 education, regular nutrition, and sleep quality were effective predictors of stress level (R2 = 32.2, p≤0.001). CONCLUSION: It was determined that nurses have low sleep quality and high stress levels during the pandemic process.

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Impact of Integrative Restoration (iRest) Meditation on Perceived Stress Levels in Multiple Sclerosis and Cancer Outpatients

PsycEXTRA Dataset ◽

10.1037/e741342011-166 ◽

2009 ◽

Author(s):

Mary Pritchard ◽

Patricia Elison-Bowers ◽

Bobbie Birdsall

Keyword(s):

Multiple Sclerosis ◽

Perceived Stress ◽

Stress Levels

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Sleep quality and associated factors during the COVID-19 epidemic among community non-medical anti-epidemic Workers of Wuhan, China

BMC Public Health ◽

10.1186/s12889-021-11312-8 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Guanglin Si ◽

Yi Xu ◽

Mengying Li ◽

Yuting Zhang ◽

Shuzhen Peng ◽

...

Keyword(s):

Social Support ◽

Sleep Quality ◽

Perceived Stress ◽

Associated Factors ◽

Perceived Social Support ◽

Educational Background ◽

Physical Symptoms ◽

Poor Sleep ◽

Poor Sleep Quality

Abstract Background Since the outbreak of Coronavirus Disease 2019 (COVID-19) in December 2019, community non-medical anti-epidemic workers have played an important role in the prevention of COVID-19 in China. The present study aimed to assess sleep quality and its associated factors among community non-medical anti-epidemic workers. Method A survey was conducted using anonymous online questionnaire to collect information from 16 March 2020 to 24 March 2020. A total of 474 participants were included, with a 94.23% completion rate. The questionnaire contained demographic data, physical symptoms, and contact history with COVID-19. The researchers assessed perceived social support by the Multidimensional Scale of Perceived Social Support (MSPSS), assessed perceived stress by the Perceived Stress Scale (PSS), and measured sleep quality by the Pittsburgh Sleep Quality Index (PSQI) questionnaire. Results Among the participants, 46.20% reported poor sleep quality. A binary logistic regression revealed that having educational background of junior college or above, being a member of the police force, having contacted individuals with confirmed or suspected COVID-19 infection, having chronic disease(s), having illness within 2 weeks, and having high or moderate perceived stress were significant factors associated with an increased risk of poor sleep quality. Conclusion Demographic factors, physical symptoms, history of contact with COVID-19, and perceived stress are significantly associated with poor sleep quality of community non-medical anti-epidemic workers. Thus, targeting these factors might be helpful in enhancing sleep quality of community workers.

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653 Are Daily Variations in Sleep Quality and Quantity Related to General Stress and COVID-19-Related Anxiety?

SLEEP ◽

10.1093/sleep/zsab072.651 ◽

2021 ◽

Vol 44 (Supplement_2) ◽

pp. A255-A256

Author(s):

Veronica Hire ◽

Casey Thurmon ◽

Hope Snyder ◽

Ryan Harra ◽

Jamie Walker ◽

...

Keyword(s):

Sleep Quality ◽

Sleep Duration ◽

Fixed Effects ◽

Daily Basis ◽

Subjective Rating ◽

Coping With Stress ◽

Sleep Diaries ◽

Daily Variations ◽

General Stress ◽

Stress Levels

Abstract Introduction Sleep modulates a number of psychological and cognitive processes, such as emotion regulation, executive control, and coping with stress. It is therefore not surprising that insufficient sleep quality or quantity are associated with greater self-reported stress levels. The COVID-19 pandemic has led to a particularly stressful and unprecedented time in history. While stress has been undoubtedly high during the past year, it’s less clear to what extent sleep has affected people’s perceived stress on a daily basis. The aim of this research was to estimate whether daily variations in sleep quality and duration were associated with general stress and/or stress related to COVID-19. Methods The study used a nationally representative sample to assess daily variations in sleep and stress for a period of two weeks during the COVID-19 pandemic. Morning assessments were conducted using online sleep diaries. These diaries were used to estimate sleep duration (in minutes) and sleep quality (subjective rating on a 5-point Likert scale). Evening assessments were also completed online and prompted participants to rate (0 to 100) their current “general” stress level, as well as their current anxiety in relation to COVID-19. Separate mixed effects models were conducted with days (Level 1) nested within participants (Level 2). Stress variables were lagged by a day to estimate the association between sleep (AM assessment) and stress (PM assessment). TST and SQ were entered as fixed effects and intercepts were allowed to vary randomly. Results 4,048 participants (Mage = 46.3 years; 78% women) were included as part of the analyses. The results supported that lower self-reported sleep quality predicted greater general stress levels (b = -1.43, p < 0.001). Lower self-reported sleep quality also predicted greater COVID-19 related anxiety (b = -0.543, p < 0.001). In contrast, sleep duration was not significantly related to general stress or COVID-19 anxiety after controlling for sleep quality. Conclusion The present data supports that daily variations in sleep quality are related to a person’s overall stress levels and COVID-19 anxiety. These findings may have implications for the role of good sleep in mitigating the increases in stress that have resulted from the COVID-19 pandemic. Support (if any) Vargas: K23HL141581

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The association of smartphone addiction, sleep quality and perceived stress amongst Jordanian dental students

European Journal Of Dental Education ◽

10.1111/eje.12674 ◽

2021 ◽

Author(s):

Sarliza Yasmin Sanusi ◽

Ola Barakat Al‐Batayneh ◽

Yousef Saleh Khader ◽

Norkhafizah Saddki

Keyword(s):

Sleep Quality ◽

Perceived Stress ◽

Dental Students ◽

Smartphone Addiction

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Catastrofização da cefaleia e associação com outras condições clínicas

Headache Medicine ◽

10.48208/headachemed.2018.8 ◽

2018 ◽

pp. 35

Author(s):

Erlene Roberta Ribeiro dos Santos

Keyword(s):

Sleep Quality ◽

Perceived Stress ◽

Quality Index ◽

Pittsburgh Sleep Quality Index ◽

Beck Anxiety Inventory ◽

Headache Disorders ◽

Stress Scale ◽

Headache Disability ◽

Beta Version

A catastrofização é definida como um conjunto de pensamentos negativos com tendência ao exagero mental, mediante uma situação real ou antecipada de experiência dolorosa, associada à sensação de incapacidade para busca do alívio da dor. Objetivo: avaliar a catastrofização da cefaleia associada a condições clínicas como incapacidade funcional, depressão, ansiedade, estresse e qualidade do sono, em universitários. Material e Método: estudo observacional transversal com uma amostra de 340 universitários (179 mulheres), com idade de 25 ± 5 anos. Foi utilizado um formulário de cadastro para coletar informações pessoais e antropométricas. Os critérios da International Classification of Headache Disorders 3rd edition Beta version foram utilizados para classificar a cefaleia. A escala de pensamentos catastróficos sobre dor (EPCD) foi utilizada para rastrear a catastrofização. Para avaliar a incapacidade funcional gerada pela cefaleia foi utilizado o questionário Headache Disability Test – HIT-6. Sintomatologias de depressão e de ansiedade foram rastreadas pelo Beck Depression Inventory (BDI), e Beck Anxiety Inventory – BAI, respectivamente. O estresse percebido foi avaliado pela escala Perceived Stress Scale (PSS) e a qualidade do sono pelo questionário Pittsburgh Sleep Quality Index. A estatística descritiva foi aplicada para caracterização da amostra, analisadas as diferenças de médias por meio dos testes t de Student e χ2. Para a aplicação da estatística analítica foram utilizadas regressão linear simples e regressão linear logística multivariada generalizada. Resultados: 288/340 (84,7%) dos universitários referiram cefaleia; desses, 133/288 (46,1%) eram migranosos [96/133 (72,2%) mulheres e 37/133 (27,8%) homens; OR= 1,92] e 155/288 (53,9%) não migranosos. Dentre os migranosos, 44/133 (33,08) apresentaram catastrofização (OR 37.44). A regressão linear revelou um potencial maior de contribuição (β) das seguintes condições clínicas: estresse, qualidade do sono ruim e ansiedade para o grupo dos migranosos. A regressão logística multivariada também mostrou a catastrofização, fornecendo estimativa com maior impacto na mudança dos valores da probabilidade da ocorrência da migrânea, com acréscimo de 5,78 pontos percentuais, quando se mantém constante das outras variáveis preditoras. A regressão linear multivariada para a avaliação do impacto da cefaleia indica que a catastrofização é a variável que apresenta maior contribuição na incapacidade gerada pela dor de cabeça, com um valor de β de 5,564 e p<0,001, apresentando forte significância. Conclusão: a catastrofização na migrânea, associada a outras condições clínicas avaliadas neste estudo, como a depressão, ansiedade, estresse e qualidade do sono, exerce influência significativa para a incapacidade gerada pela dor.

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