scholarly journals 1045 Impact Of Pre-treatment Sleep And Menopausal Status On Sleep Quality In The 12 Months Following A Breast Cancer Diagnosis

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A397-A397
Author(s):  
L Squires ◽  
K Mahon ◽  
J Rash ◽  
E Powell ◽  
M Seal ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Sleep Quality ◽  
Cancer Diagnosis ◽  
Quality Index ◽  
Pittsburgh Sleep Quality Index ◽  
Sleep Problems ◽  
Menopausal Status ◽  
Pre Treatment ◽  
Post Menopausal ◽  
The Impact

Abstract Introduction Sleep disturbances are a prevalent and enduring problem in women who have completed treatment for breast cancer. Less is known about whether sleep during and after cancer treatment is influenced by pre-treatment sleep quality and menopausal status. The present study aims to examine the trajectory of sleep quality in the 12 months following a cancer diagnosis and assess whether trajectory is influenced by pre-treatment sleep quality and menopausal status. Methods Newly-diagnosed women (N=88) with non-metastatic BCa were recruited before beginning treatment. They completed the Pittsburgh Sleep Quality Index (PSQI) before treatment and 4, 8, and 12 months later. Women with a score ≥5 on the Pittsburgh Sleep Quality Index at treatment onset were classified as poor sleepers. Menopausal status (pre- or post-menopausal) was chart abstracted. A mixed ANOVA assessed the impact of pre-treatment sleep quality and menopausal status on sleep quality trajectory. Results The mean age of the sample was 60 years, 70% were classified as poor sleepers, and 72% were post-menopausal. There was a significant linear time by sleep quality interaction, F(1, 83)= 5.79, p =.02. Good sleepers experienced a greater initial worsening of sleep quality than poor sleepers. At 12 months, poor sleepers had returned to baseline levels whereas scores in good sleepers remained higher than baseline. The 3-way time x sleep quality x menopausal status and the 2-way time by menopausal status interactions were not significant. Conclusion Baseline sleep quality is a more powerful determinant of sleep trajectory during treatment than menopausal status. Early intervention is necessary to treat existing sleep problems and prevent the development of sleep problems in women with a history of good sleep. Support Dr. Garland is supported by a New Investigator Award and seed funding from the Beatrice Hunter Cancer Research Institute (BHCRI).

scholarly journals The impact of breast cancer treatments on sleep quality 1 year after cancer diagnosis

2017 ◽  
Vol 25 (11) ◽  
pp. 3529-3536 ◽  
Author(s):  
Filipa Fontes ◽  
Susana Pereira ◽  
Ana Rute Costa ◽  
Marta Gonçalves ◽  
Nuno Lunet
Keyword(s):  
Breast Cancer ◽  
Sleep Quality ◽  
Cancer Diagnosis ◽  
Cancer Treatments ◽  
After Cancer ◽  
The Impact

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 The relationship between Pittsburgh Sleep Quality Index subscales and diabetes control

2018 ◽  
Vol 15 (3) ◽  
pp. 210-219 ◽  
Author(s):  
Onala Telford ◽  
Clarissa J Diamantidis ◽  
Hayden B Bosworth ◽  
Uptal D Patel ◽  
Clemontina A Davenport ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Quality Index ◽  
Sleep Disturbances ◽  
Pittsburgh Sleep Quality Index ◽  
Diabetes Control ◽  
Poor Sleep ◽  
Medication Nonadherence ◽  
Mediating Factor ◽  
The Impact ◽  
The Relationship

Objectives Data suggest that poor sleep quality as measured by the Pittsburgh Sleep Quality Index (PSQI) contributes to suboptimal diabetes control. How the subscales comprising the PSQI individually relate to diabetes control is poorly understood. Methods In order to explore how PSQI subscales relate to diabetes control, we analyzed baseline data from a trial of a telemedicine intervention for diabetes. We used multivariable modeling to examine: (1) the relationship between the global PSQI and hemoglobin A1c (HbA1c); (2) the relationships between the 7 PSQI subscales and HbA1c; and (3) medication nonadherence as a possible mediating factor. Results Global PSQI was not associated with HbA1c ( n = 279). Only one PSQI subscale, sleep disturbances, was associated with HbA1c after covariate adjustment; HbA1c increased by 0.4 points for each additional sleep disturbances subscale point (95%CI 0.1 to 0.8). Although the sleep disturbances subscale was associated with medication nonadherence (OR 2.04, 95%CI 1.27 to 3.30), a mediation analysis indicated nonadherence does not mediate the sleep disturbances-HbA1c relationship. Discussion The sleep disturbances subscale may drive the previously observed relationship between PSQI and HbA1c. The mechanism for the relationship between sleep disturbances and HbA1c remains unclear, as does the impact on HbA1c of addressing sleep disturbances.

scholarly journals Sleep, Fatigue, and Functional Health in Psychotic Patients

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Flavie Waters ◽  
Neepa Naik ◽  
Daniel Rock
Keyword(s):  
Regression Analysis ◽  
Sleep Quality ◽  
Health Survey ◽  
Quality Index ◽  
Sleep Disturbances ◽  
Pittsburgh Sleep Quality Index ◽  
Sleep Problems ◽  
Functional Health ◽  
Symptom Inventory

This study sought to examine the association between sleep, fatigue, and functional health in psychotic patients. Participants included 93 psychotic inpatients (n=67with schizophrenia) who completed the Chalder Fatigue Scale (ChFS), the Fatigue Symptom Inventory (FSI), the Pittsburgh Sleep Quality Index (PSQI), and the SF36 Health Survey. Patients were classified on the basis of their performance on sleep and fatigue measures: 60% reported significant levels of fatigue and 67% significant sleep disturbances. 28.4% reported both, suggesting that fatigue and sleep dysfunctions do not necessarily cooccur. A closer examination of patterns showed that fatigue was only related to qualitative aspects of sleep and not quantifiable aspects of sleep disturbances. The results also showed that functional health was the lowest in patients with high levels of fatigue, compared to patients with sleep problems only or patients with neither symptom. A regression analysis further showed that the size of the contribution of fatigue onto functional health was twice as much as that of sleep dysfunctions. In conclusion, the results show that (i) dissatisfaction with sleep—and not sleep itself—is related to fatigue symptoms and that (ii) fatigue is particularly detrimental to functional health, regardless of the presence of sleep dysfunctions.

scholarly journals Reliability and validity of the Pittsburgh Sleep Quality Index in breast cancer patients

2017 ◽  
Vol 25 (10) ◽  
pp. 3059-3066 ◽  
Author(s):  
Filipa Fontes ◽  
Marta Gonçalves ◽  
Susana Maia ◽  
Susana Pereira ◽  
Milton Severo ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Sleep Quality ◽  
Cancer Patients ◽  
Quality Index ◽  
Pittsburgh Sleep Quality Index ◽  
Reliability And Validity ◽  
Breast Cancer Patients

scholarly journals Factor Analysis of the Pittsburgh Sleep Quality Index in Breast Cancer Survivors

2013 ◽  
Vol 45 (3) ◽  
pp. 620-627 ◽  
Author(s):  
Julie L. Otte ◽  
Kevin L. Rand ◽  
Janet S. Carpenter ◽  
Kathleen M. Russell ◽  
Victoria L. Champion
Keyword(s):  
Breast Cancer ◽  
Factor Analysis ◽  
Sleep Quality ◽  
Cancer Survivors ◽  
Quality Index ◽  
Breast Cancer Survivors ◽  
Pittsburgh Sleep Quality Index

scholarly journals Sleep in post-COVID-19 recovery period and its impact on different domains of quality of life

2021 ◽  
Vol 57 (1) ◽  
Author(s):  
Samir El Sayed ◽  
Sarah Gomaa ◽  
Doaa Shokry ◽  
Ahmed Kabil ◽  
Ahmed Eissa
Keyword(s):  
Quality Of Life ◽  
Sleep Quality ◽  
Quality Index ◽  
Pittsburgh Sleep Quality Index ◽  
Sleep Problems ◽  
Recovery Period ◽  
Severity Index ◽  
Insomnia Severity Index ◽  
Insomnia Severity

Abstract Background COVID-19 pandemic became a global health problem affecting the life of millions of people all over the world. The effects of this pandemic were not only on the physical and medical aspects but also on the psychological issues including anxiety disorders, depressive manifestations, sleep problems and others. Sleep disorders were very commonly reported during the novel Coronavirus-19 pandemic either in the acute phase of COVID-19 infection or after recovery. These sleep problems might have a drastic burden on the recovered patients’ life. This study aimed to investigate the sleep in the post-Coronavirus-19 period and if has an impact on the different items of patients’ quality of life. This cross-sectional observational study investigated the sleep problems in 500 patients in the post recovery period using Insomnia Severity Index and Pittsburgh sleep quality index (PSQI), their relation to this critical period and their impact on different domains of Quality of Life which was assessed by the SF36 Health Survey. Results Socio-demographic characteristics of 500 post-Coronavirus-19 patients were collected; the insomnia severity index and Pittsburgh sleep quality index evaluated the sleep pattern. The quality of life was investigated using Short Form 36 scale. The study revealed high scores of insomnia severity index (13.01 ± 4.9), Pittsburgh sleep quality index (15.37 ± 4.43), also high scores of different items of scale of quality of life in the studied group. Conclusion Post-COVID-19 sleep disturbances were commonly reported in the recovery period, also these sleep deficits had an impact on the physical and mental aspects of quality of life, so these sleep problems must be managed properly especially in this critical pandemic era.

scholarly journals Kualitas Tidur Pasien Kanker Payudara Berdasarkan Terapi yang Diberikan di RSUP DR. Hasan Sadikin Bandung

2017 ◽  
Vol 3 (2) ◽  
pp. 115
Author(s):  
Devita Alifiyanti ◽  
Yanti Hermayanti ◽  
Dyah Setyorini
Keyword(s):  
Breast Cancer ◽  
Sleep Quality ◽  
Cancer Patients ◽  
Quality Index ◽  
Pittsburgh Sleep Quality Index ◽  
Sampling Technique ◽  
Poor Sleep ◽  
Breast Cancer Patients ◽  
Consecutive Sampling

ABSTRAK  Tidur berkualitas dibutuhkan oleh pasien kanker payudara agar kondisi dan daya tahan tubuh dapat dipertahankan optimal. Pada saat tidur  sel yang rusak  dapat diperbaiki. Perawat harus memfasilitasi kebutuhan tersebut dan harus mengetahui kualitas tidur pasien dengan terapi yang berbeda, sebagai dasar perencanaan asuhan. Penelitian ini bertujuan untuk meggambarkan kondisi kualitas tidur pasien yang sedang menjalankan terapi di RSUP Dr. Hasan Sadikin Bandung. Penelitian ini menggunakan metode deskriptif kuantitatif dengan teknik consecutive sampling (n=31). Data dikumpulkan menggunakan kuesioner Pittsburgh Sleep Quality Index (PSQI). Kualitas tidur dikatakan baik bila skor total ≤ 5, dan kualitas tidur buruk bila skor total > 5. Hasil penelitian menunjukkan bahwa seluruh responden (100%) memiliki kualitas tidur yang buruk. Komponen yang paling banyak berkontribusi dalam penilaian tersebut adalah latensi tidur, durasi tidur, efisiensi kebiasaan tidur, dan disfungsi siang hari. Kualitas tidur terburuk dengan skor 18 terjadi pada responden yang menjalani radioterapi dengan mastektomi (2 orang) dan responden stadium lanjut (3 orang). Kesimpulan, bahwa terapi pengobatan yang dijalani dan kondisi kanker berkontribusi terhadap kualitas tidur pasien kanker payudara. Sejak pasien masuk perawat harus mengkaji kebutuhan tidur, menggali masalah kesulitan tidur, menjelaskan pengaruh tidur terhadap perbaikan sel, dan memberikan informasi tentang cara tidur berkualitas kepada pasien dan keluarganya untuk setting rumah sakit dan di rumah. Rumah Sakit harus memfasilitasi kebutuhan pasien agar tidak terganggu saat tertidur selama dalam perawatan.  ABSTRACT Deep sleep is needed by breast cancer patients to maintain health quality  optimally.  During that time the damaged cells can be repair. Nurses should facilitate the need and should know the sleep quality as the basis for nursing care. This study aims to describe  sleep quality of breast cancer patients with the treatmen at Dr. Hasan Sadikin Bandung.  This research uses quantitative descriptive method with consecutive sampling technique (n = 31). Data were collected using the Pittsburgh Sleep Quality Index (PSQI). Sleep quality was good when the total score ≤5.  Sleep quality was  poor when the total score >5. The results show that all respondents (100%) had poor sleep quality. The components which contribute to the condition were sleep latency, sleep duration, sleep efficiency and daytime dysfunction. The worst score sleep quality was 18 which occurred on mastectomy patient with radiotherapy (2) and  advanced stage patients (3).  To  conclude that treatment for cancer contribute to sleep quality of breast cancer patients.  Nurses should assess the needs of sleep, explore the problem of sleeping difficulties, explain the effect of sleep on cell repair, and provide information about  getting a good sleep at the  hospital or home settings. Hospital should  facilitate  the infrastructure to full fill tne  need.  

Factors associated with weight gain during endocrine therapy for breast cancer.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 12076-12076
Author(s):  
Anna-Carson Rimer Uhelski ◽  
David Lim ◽  
Amanda L. Blackford ◽  
Jennifer Y. Sheng ◽  
Claire Frances Snyder ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Body Weight ◽  
Weight Gain ◽  
Cancer Diagnosis ◽  
Menopausal Status ◽  
Breast Cancer Diagnosis ◽  
Pain Interference ◽  
Factors Associated ◽  
Menopausal Women ◽  
Post Menopausal

12076 Background: Weight gain is common after a breast cancer diagnosis. The incidence of and risk factors for weight gain during adjuvant endocrine therapy (ET) are poorly described. Limited data support an association between emergent symptoms and weight gain after a breast cancer diagnosis. Methods: We enrolled women with stage 0-III breast cancer initiating ET in a prospective clinic-based cohort. We assessed symptoms with the FACT-ES and PROMIS pain interference, depression, anxiety, fatigue, sleep disturbance and physical function measures at baseline (BL), 3, 6, 12, 24, 36, 48 and 60 months (mo). We defined emergent symptoms at 3 and/or 6 mo as worsening of 4 points from BL on PROMIS measures and 5 points from BL on the FACT-ES. We abstracted weight and menopausal status from charts. The primary outcome of this secondary analysis was weight gain (dichotomized as ≥5% vs < 5% of body weight compared to BL) through 60 mo. We evaluated the association between weight gain during ET and menopausal status. We also evaluated the associations between clinicodemographic factors and emergent symptoms with weight gain and if these associations differed by menopausal status. We performed logistic regression modeling with GEE to account for the longitudinal design. We identified a multivariable model for the set of factors associated with weight gain among pre-menopausal women taking ET. Results: 309 of 321 participants with BL and ≥1 follow-up (FU) weight were included. 263 (85%) had stage I-II disease, 99 (32%) were pre-menopausal, 259 (84%) were White and 32 (10%) were Black. Prior to ET, 45% had mastectomy, 66% had radiation, and 28% received chemotherapy. 4% of pre- and 82% of post-menopausal participants initiated an aromatase inhibitor (AI); all others initiated tamoxifen (Tam). 17% of pre-menopausal participants received ovarian suppression. At BL, 75% of Black and 59% of White participants were overweight/obese. With a median FU of 56 mo, 51% of pre- and 34% of post-menopausal participants gained ≥5% body weight (OR 1.09, 95% CI 1.07-1.13, p < 0.001). For each PRO measure, > 20% of participants had emergent symptoms. Worsening of physical function and pain interference scores at 3 and/or 6 mo were differentially associated with weight gain according to menopausal status (interaction p-values ≤0.05). On multivariate analysis, factors associated with weight gain among pre-menopausal participants were ET (AI vs Tam) (OR 2.8, 95% CI 0.90- 8.77, p = 0.08), prior mastectomy (OR 2.06, 95% CI 0.89-4.77, p = 0.09), emergent pain interference (OR 2.49, 95% CI 0.99-6.24, p = 0.05) and race (White vs other) (OR 7.13, 95% CI 1.29-39.4], p = 0.02). Conclusions: Weight gain during ET for breast cancer is more frequent among pre-menopausal than post-menopausal women. Worsening pain soon after ET initiation, receipt of AI, prior mastectomy and race may identify pre-menopausal women at risk for weight gain for whom prevention strategies are a priority.

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