Pictograma de Fadiga: uma alternativa para avaliação da intensidade e impacto da fadiga

Mota, Dálete Delalibera Corrêa de Faria; Pimenta, Cibele Andrucioli de Mattos; Fitch, Margaret I.

doi:10.1590/s0080-62342009000500012

Cited by 23 publications

(18 citation statements)

References 14 publications

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“…In the study of Servaes et al (12), a relationship was observed between anxiety, depression and fatigue, also in the study of Beyrami et al (13), anxiety was determined as a significant factor of psychological fatigue and depression. Also in many other studies, depression (2,(14)(15)(16)(17)(18), stress (19) and anxiety (13,19,20) were reported along with fatigue. Other influential factors in fatigue include low hemoglobin (21)(22)(23)(24)(25) and sleep disorders (2,25,26).…”

Section: Introductionmentioning

confidence: 75%

Study of Fatigue and Associated Factors in Patients with Chronic Heart Failure

Nasiri¹,

Rahimian²,

Jahanshahi³

et al. 2016

Crit Care Nurs J

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Background: Many factors may be involved in fatigue of patients with chronic heart failure (CHF). Objectives: The present study was conducted to determine fatigue and associated factors in patients with heart failure. Methods:The present descriptive-analytical study was conducted on patients with CHF admitted to Imam Sajjad hospital of Ramsar in 2014. Data collection tools included: 1) multidimensional assessment of fatigue (MAF) scale, 2) the Pittsburgh sleep quality index (PSQI), 3) the hospital anxiety and depression scale (HADS), and 4) demographic characteristics form and the hemoglobin and ejection fraction (EF) records. Data collection was done through interviews and observations.

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Section: Introductionmentioning

confidence: 75%

Study of Fatigue and Associated Factors in Patients with Chronic Heart Failure

Nasiri¹,

Rahimian²,

Jahanshahi³

et al. 2016

Crit Care Nurs J

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“…It is usually described as tiredness that is not relieved by the patient's usual strategies to restore energy. It may vary in terms of duration and severity, and it negatively affects, to a greater or lesser extent, the patient's ability to perform activities of daily living (Mota, Pimenta, & Fitch, 2009;Spichiger et al, 2011). Fatigue is the symptom that most strongly interferes with the daily lives of cancer patients (Park et al, 2009).…”

Section: Discussionmentioning

confidence: 99%

INTERNATIONAL COLUMN: Association of demographic, economic and clinical variables in daily activities and symptoms presented by patients in cancer treatment

Kolankiewicz¹,

Magnago²,

Dullius³

et al. 2017

CONJ

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Objective: To investigate the association between demographic, economic and clinical variables, cancer symptoms, and daily life interference in patients receiving cancer treatment in Brazil.Methods: In this cross-sectional study, 268 patients were assessed. A questionnaire was used to collect data on demographic, economic and clinical variables, and the M.D. Anderson Symptom Inventory was used to assess cancer symptoms. Data were analyzed using bivariate and multivariate descriptive statistics.Findings: The following variables were associated with higher symptom scores: female sex (prevalence ratio [PR]=1.28; 95% confidence interval [95% CI] 1.06-1.53), illiteracy or ≤ 9 years of formal education (PR=1.40; 95% CI 1.08-1.82), clinical equipment or situations that requiring nursing care (PR=1.23; 95% CI 1. 03-1.46), and family history of cancer (PR=1.23; 95% CI 1. 04-1.45). Daily life interference was associated with female sex (PR=1.40; 95% CI 1.12-1.75), secondary tumour (PR=1.42; 95% CI 1. 16-1.74) and radiotherapy (PR=1.24; 95% CI 1. 01-1.51).Conclusion: Management of cancer patients requires multidisciplinary knowledge, taking into consideration all the subjective dimensions of the patients. Knowing the profile of patients most strongly affected by symptoms will help them face the limitations and consequences of the disease and its treatment.

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“…However, treatment for pain is known and effective and its appropriate implementation can improve both symptoms, a hypothesis that deserves to be tested in future studies. Additionally, the use of selfreport instruments validated for Portuguese can contribute to better evaluate fatigue in patients with cancer in nurses' clinical practice (12,22) .…”

Section: Rev Esc Enfermmentioning

confidence: 99%

Prevalência e comorbidade de dor e fadiga em mulheres com câncer de mama

Lamino

Mota

Pimenta

2011

Rev. esc. enferm. USP

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RESUMOO estudo analisou a prevalência e a comorbidade de dor e fadiga em mulheres com câncer de mama. Trata-se de estudo transversal, com amostra, não probabilística de 182 mulheres em tratamento ambulatorial para câncer de mama, entrevistadas no período de julho 2006 a março de 2007. Fadiga, avaliada pela Escala de Fadiga de Piper, foi dividida em duas categorias (escore 0,1-4,9 e >5-10). Dor, avaliada pela escala de 0-10, foi categorizada do mesmo modo que fadiga. Fadiga ocorreu em 94 mulheres (51,6%), sendo >5 em 44 (46,8%) delas. Dor ocorreu em 86 mulheres (47,2%), sendo >5 em 50 (58,1%). Fadiga e dor correlacionaram-se (r=0,38, p=0,003) e a comorbidade fadiga e dor foi de 38,3%. Dor intensa acentuou a fadiga (p=0,089) e fadiga intensa acentuou a dor (p=0,016). Tais dados são inéditos em nosso meio, confirmam a existência de um cluster de sintoma e dos prejuízos decorrentes dessa comorbidade. DESCRITORES ABSTRACTThis study analyzed the prevalence and comorbidity of pain and fatigue in women with breast cancer. This is a cross-sectional study using a non-probabilistic sample of 182 women following outpatient treatment for breast cancer, who were interviewed from July 2006 to March 2007. Fatigue was assessed using the Piper Fatigue Scale, and divided into two categories (scores 0.1-4.9 and >5-10). Pain was assessed by the 0-10 scale, and categorized the same way as fatigue. Fatigue occurred in 94 women (51.6%), and was >5 in 44 (46.8%) of the women. Pain occurred in 86 women (47.2%), with scores >5 in 50 (58.1%). Fatigue and pain were correlated (r=0.38, p=0.003) and the comorbidity fatigue and pain was 38.3%. Intense pain increased fatigue (p=0.089) and intense fatigue increased pain (p=0.016). Both data are new in our area, and confirm the existence of a cluster of symptoms and the harms resulting from that comorbidity. DESCRIPTORS Breast neoplasmsFatigue Pain Hospice care RESUMENEstudio analítico de análisis de prevalencia y comorbilidad de dolor y fatiga en mujeres con cáncer de mama. Investigación transversal, con muestra no probabilística de 182 mujeres en tratamiento ambulatorio de cáncer de mama, entrevistadas en período de julio 2006 a marzo 2007. Fatiga evaluada por Escala de Fatiga de Piper, fue dividida en dos categorías (puntaje 0,1-4,9 y >5-10). Dolor evaluado por escala de 0-10, categorizado del mismo modo que fatiga. Existió fatiga en 94 mujeres (51,6%), siendo >5 en 44 (46,8%) de ellas. Existió dolor en 86 mujeres (47,2%), siendo >5 en 50 (58,1%). Se correlacionaron dolor/fatiga (e=0,38, p=0,089) y la comorbilidad fatiga/dolor fue de 38,3%. El dolor intenso agudizó la fatiga (p=0,089) y la fatiga intensa acentuó el dolor (p=0,016). Datos inédi-tos en nuestro medio, confirman la existencia de un cluster de síntomas y los perjuicios derivados de la comorbilidad. DESCRIPTORESNeoplasias de la mama Fatiga Dolor Cuidados paliativos

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Pictograma de Fadiga: uma alternativa para avaliação da intensidade e impacto da fadiga

Cited by 23 publications

References 14 publications

Study of Fatigue and Associated Factors in Patients with Chronic Heart Failure

Study of Fatigue and Associated Factors in Patients with Chronic Heart Failure

INTERNATIONAL COLUMN: Association of demographic, economic and clinical variables in daily activities and symptoms presented by patients in cancer treatment

Prevalência e comorbidade de dor e fadiga em mulheres com câncer de mama

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