scholarly journals Acne Severity and Sleep Quality in Adults

2019 ◽  
Vol 1 (4) ◽  
pp. 510-516 ◽  
Author(s):  
Kory P. Schrom ◽  
Sayeeda Ahsanuddin ◽  
Michelle Baechtold ◽  
Raghav Tripathi ◽  
Amy Ramser ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Quality Index ◽  
Life Quality ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Increased Risk ◽  
Patient Health ◽  
The Usa ◽  
Grading Scale ◽  
Psychiatric Conditions

Poor sleep quality is extremely prevalent, with about one third of adults in the USA obtaining less than the recommended amount of sleep. In addition, poor sleep quality has been linked to an increased risk of many conditions, including diabetes, hypertension, psychiatric conditions, and overall all-cause mortality. Research has shown that sleep disturbance does impact skin disease, although many details of this relationship are still unclear. The goal of this study is to determine if there is a relationship between acne severity and sleep quality in adults. Forty subjects with acne were recruited from dermatology clinics in Cleveland, OH, to participate in this study. Acne severity was assessed using the Global Acne Grading Scale (GAGS). To assess sleep quality, subjects completed the Pittsburgh Sleep Quality Index (PSQI) and completed a seven-day sleep journal. Subjects also completed the Dermatology Life Quality Index (DLQI), the Patient Health Questionnaire-2 (PHQ-2), and provided information about current and past acne treatments as well as their opinion regarding their own acne severity and exacerbating factors. Our findings support the hypothesis that there is a potential relationship between sleep quality and acne.

Sleep Disturbance in Psoriatic Disease: Prevalence and Associated Factors

2017 ◽  
Vol 44 (9) ◽  
pp. 1369-1374 ◽  
Author(s):  
Ian T.Y. Wong ◽  
Vinod Chandran ◽  
Suzanne Li ◽  
Dafna D. Gladman
Keyword(s):  
Psoriatic Arthritis ◽  
Sleep Quality ◽  
Sleep Disturbance ◽  
Quality Index ◽  
Short Form ◽  
Life Quality ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Psoriatic Disease ◽  
Patient Reported

Objective.We aimed to determine the prevalence and quality of sleep in patients with psoriatic arthritis (PsA) and those with psoriasis without PsA (PsC) followed in the same center, to identify factors associated with sleep disturbance, and to compare findings to those of healthy controls (HC).Methods.The study included 113 PsA [ClASsification for Psoriatic ARthritis (CASPAR) criteria] and 62 PsC (PsA excluded by a rheumatologist) patients and 52 HC. Clinical variables were collected using a standard protocol. The sleep quality was evaluated using the Pittsburgh Sleep Quality Index (PSQI). Other patient-reported outcomes collected included the Health Assessment Questionnaire (HAQ), Dermatology Life Quality Index, EQ-5D, Medical Outcomes Study Short Form-36 survey, patient’s global assessment, and the Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-fatigue) scale. Statistical analyses included descriptive statistics, Wilcoxon rank-sum test, and linear regression.Results.The prevalence of poor sleep quality was 84%, 69%, and 50% in PsA, PsC, and HC, respectively. Total PSQI score was higher in both patients with PsA and patients with PsC compared with HC (p < 0.01) and higher in patients with PsA compared to patients with PsC (p < 0.0001). EQ-5D anxiety component, EQ-5D final, and FACIT-fatigue were independently associated with worse PSQI in patients with PsC and those with PsA (p < 0.05). Actively inflamed (tender or swollen) joints are independently associated with worse PSQI in patients with PsA (p < 0.01).Conclusion.Patients with psoriatic disease have poor sleep quality. Poor sleep is associated with fatigue, anxiety, and lower EQ-5D. In patients with PsA, poor sleep is associated with active joint inflammation.

scholarly journals Nivel de desarrollo madurativo, actividad física y calidad del sueño en chicas adolescentes: proyecto DADOS (Maturational development, physical activity, and sleep quality in adolescent girls: DADOS project)

Retos ◽  
2018 ◽  
pp. 71-74
Author(s):  
Maria Reyes Beltran Valls ◽  
Mireia Adelantado-Renau ◽  
Daniel Segura-Ayala ◽  
Míriam Toledo-Bonifás ◽  
Diego Moliner-Urdiales
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Adolescent Girls ◽  
Emotional Development ◽  
Quality Index ◽  
Pittsburgh Sleep Quality Index ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Increased Risk ◽  
Los Grupos

El sueño y la actividad física (AF) son hábitos fundamentales para la salud durante la adolescencia ya que favorecen un óptimo desarrollo físico, cognitivo y emocional. El objetivo del estudio fue analizar la influencia del desarrollo madurativo sobre la calidad del sueño en niñas adolescentes, así como los niveles AF diaria según su nivel de desarrollo. Se evaluó el nivel de desarrollo madurativo de 129 chicas participantes del proyecto DADOS a través de la escala de Tanner. Se dividió al grupo en dos según su nivel de desarrollo madurativo (Tanner <4; Tanner ≥4). La calidad del sueño fue evaluada mediante la versión española del cuestionario Pittsburgh Sleep Quality Index (PSQI) y se crearon los grupos óptima (PSQI ≤5) y mala (PSQI >5) calidad del sueño. Se evaluó la AF mediante acelerometría triaxial. El índice de masa corporal (IMC, kg/m2) se incluyó como covariable. No se encontraron diferencias en la puntuación total del PSQI en función del desarrollo madurativo (p >.05). Las adolescentes con mayor nivel de desarrollo mostraron menor AF diaria (p <.05). El porcentaje de chicas que presentaba óptima/mala calidad del sueño fue similar entre los grupos de desarrollo madurativo (p >.05). Las chicas con nivel de desarrollo madurativo superior (Tanner ≥4) no mostraron mayor riesgo de tener mala calidad del sueño (OR=1.08, 95%CI 0.51–2.34), teniendo en cuenta su IMC y AF diaria. En conclusión, el nivel de desarrollo madurativo de las adolescentes no parece estar relacionado con la calidad del sueño pero sí con la AF. Abstract: Sleep and physical activity (PA) are fundamental behaviors for adolescents’ health since they are related to optimal physical, cognitive, and emotional development. The aim of our study was to analyze the influence of the maturational development on sleep quality in adolescent girls, as well as to evaluate the daily PA level based on the level of maturational development. The level of maturational development of 129 girls participating in the DADOS project was assessed through the Tanner scale. Two groups were created (Tanner <4 and Tanner ≥4). Sleep quality was assessed using the Spanish version of the Pittsburgh Sleep Quality Index (PSQI), based on which the following groups were created: optimal (PSQI ≤5) and poor (PSQI >5) sleep quality. PA was measured with triaxial accelerometers. Body mass index (BMI, kg/m2) was included in the study as a covariable. No significant differences were found in the total PSQI score between the maturational development groups (p >.05). Adolescents with higher maturational development performed less PA (p <.05). The percentage of girls who presented optimal/poor sleep quality was similar between the two maturational development groups (p >.05). Girls with higher maturational development (Tanner ≥4) did not show increased risk of poor sleep quality (OR=1.08, 95%CI 0.51-2.34), considering their BMI and daily PA. In conclusion, the maturational development of adolescent girls does not seem to be related with sleep quality but it influences the PA levels.

scholarly journals The effect of long-term poor sleep quality on risk of back-related disability and the modifying role of physical activity

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Eivind Schjelderup Skarpsno ◽  
Tom Ivar Lund Nilsen ◽  
Paul Jarle Mork
Keyword(s):  
Physical Activity ◽  
Back Pain ◽  
Sleep Quality ◽  
Sleep Problems ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Physical Activity Guidelines ◽  
Adjusted Risk ◽  
Increased Risk

AbstractSleep problems and regular leisure time physical activity (LTPA) are interrelated and have contrasting effects on risk of back pain. However, no studies have investigated the influence of long-term poor sleep quality on risk of back-related disability, or if LTPA modifies this association. The study comprised data on 8601 people who participated in three consecutive surveys over ~ 22 years, and who reported no chronic back pain at the two first surveys. Adjusted risk ratios (RRs) for back-related disability were calculated at the last survey, associated with the joint effect of changes in sleep quality between the two first surveys and meeting physical activity guidelines at the second survey. Compared to people with long-term good sleep, people with long-term poor sleep had nearly twice the risk of back-related disability (RR 1.92, 95% CI 1.48–2.49). There was no statistical interaction between sleep and LTPA but people who reported long-term poor sleep and meeting the physical activity guidelines had 35% lower risk of back-related disability compared to people with same level of sleep problems, but who not met the guidelines. These findings suggest that long-term poor sleep quality contributes to a substantially increased risk of chronic and disabling back pain irrespective of LTPA.

scholarly journals Association between maternal sleep duration and quality, and the risk of preterm birth: a systematic review and meta-analysis of observational studies

2020 ◽  
Author(s):  
ling wang ◽  
Feng Jin
Keyword(s):  
Systematic Review ◽  
Preterm Birth ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Meta Analysis ◽  
Controlled Study ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Increased Risk ◽  
Study Heterogeneity

Abstract Background : To assess the association of sleep duration and quality with the risk of preterm birth. Methods : Relevant studies were retrieved from the PubMed and Web of Science databases up to September 30, 2018. The reference lists of the retrieved articles were reviewed. Random effects models were applied to estimate summarized relative risks (RRs) and 95% confidence intervals (CIs). Results : Ten identified studies (nine cohort studies and one case-controlled study) examined the associations of sleep duration and quality with the risk of preterm birth. As compared with women with the longest sleep duration, the summary RR was 1.23 (95% CI = 1.01–1.50) for women with the shortest sleep duration, with moderate between-study heterogeneity ( I 2 = 57.4%). Additionally, as compared with women with good sleep quality, the summary RR was 1.54 (95% CI = 1.18–2.01) for women with poor sleep quality (Pittsburgh Sleep Quality Index > 5), with high between-study heterogeneity ( I 2 = 76.7%). Funnel plots as well as the Egger’s and Begg’s tests revealed no evidence of publication bias. Conclusions : This systematic review and meta-analysis revealed that short sleep duration and poor sleep quality may be associated with an increased risk of preterm birth. Further subgroup analyses are warranted to test the robustness of these findings as well as to identify potential sources of heterogeneity.

scholarly journals Factors associated with poor sleep quality in women with cancer

2017 ◽  
Vol 25 (0) ◽  
Author(s):  
Thalyta Cristina Mansano-Schlosser ◽  
Maria Filomena Ceolim
Keyword(s):  
Sleep Quality ◽  
Quality Index ◽  
Sleep Disturbances ◽  
Pittsburgh Sleep Quality Index ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Factors Associated ◽  
Scale Data

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.

scholarly journals FREQUENCY AND CORRELATES OF POOR SLEEP QUALITY AMONG PATIENTS OF PARKINSON’S DISEASE

2020 ◽  
Vol 70 (6) ◽  
pp. 1640-44
Author(s):  
Syed Sakhawat Kazmi ◽  
Zahid Hassan ◽  
Waseem Alamgir ◽  
Asif Hashmat ◽  
Muhammad Ali Yousaf ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Sleep Quality ◽  
Quality Index ◽  
Pittsburgh Sleep Quality Index ◽  
Military Hospital ◽  
Poor Sleep ◽  
Motor Disorder ◽  
Poor Sleep Quality ◽  
Duration Of Illness

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.

scholarly journals The impact of COVID-19 pandemic in the quality of sleep by Pittsburgh Sleep Quality Index: A systematic review

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 ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Health Professionals ◽  
Quality Index ◽  
Pittsburgh Sleep Quality Index ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Eligibility Criteria ◽  
Different Populations ◽  
The Impact

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.

scholarly journals Effect of Electronic Device Addiction on Sleep Quality and Academic Performance Among Health Care Students: Cross-sectional Study (Preprint)

2020 ◽  
Author(s):  
Sultan Qanash ◽  
Faisal Al-Husayni ◽  
Haneen Falata ◽  
Ohud Halawani ◽  
Enas Jahra ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Odds Ratio ◽  
Electronic Device ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Sectional Study ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Health Care Students ◽  
Increased Risk

BACKGROUND Sleep quality ensures better physical and psychological well-being. It is regulated through endogenous hemostatic, neurogenic, and circadian processes. Nonetheless, environmental and behavioral factors also play a role in sleep hygiene. Electronic device use is increasing rapidly and has been linked to many adverse effects, raising public health concerns. OBJECTIVE This study aimed to investigate the impact of electronic device addiction on sleep quality and academic performance among health care students in Saudi Arabia. METHODS A descriptive cross-sectional study was conducted from June to December 2019 at 3 universities in Jeddah. Of the 1000 students contacted, 608 students from 5 health sciences disciplines completed the questionnaires. The following outcome measures were used: Smartphone Addiction Scale for Adolescents–short version (SAS-SV), Pittsburgh Sleep Quality Index (PSQI), and grade point average (GPA). RESULTS The median age of participants was 21 years, with 71.9% (437/608) being female. Almost all of the cohort used smartphones, and 75.0% (456/608) of them always use them at bedtime. Half of the students (53%) have poor sleep quality, while 32% are addicted to smartphone use. Using multivariable logistic regression, addiction to smartphones (SAS-SV score &gt;31 males and &gt;33 females) was significantly associated with poor sleep quality (PSQI &gt;5) with an odds ratio of 1.8 (1.2-2.7). In addition, male gender and older students (age ≥21 years) were significantly associated with lower GPA (&lt;4.5), with an odds ratio of 1.6 (1.1-2.3) and 2.3 (1.5-3.6), respectively; however, addiction to smartphones and poor sleep quality were not significantly associated with a lower GPA. CONCLUSIONS Electronic device addiction is associated with increased risk for poor sleep quality; however, electronic device addiction and poor sleep quality are not associated with increased risk for a lower GPA.

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