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Rev Bras Ginecol Obstet. 2015;37(3):119-126
DOI 10.1590/SO100-720320150005247
To assess fatigue and quality of life in disease-free breast cancer survivors in relation to a sample of age-matched women with no cancer history and to explore the relationship between fatigue and quality of life.
A cross-sectional study was conducted in a sample of 202 consecutive disease-free Brazilian breast cancer survivors, all of whom had completed treatment, treated at 2 large hospitals. The patients were compared to age-matched women with no cancer history attending a primary health care center. The Piper Fatigue Scale-Revised and the World Health Organization Quality of Life Instrument (WHOQOL-BREF) were used to measure the fatigue and quality of life, respectively. Socio-demographic and clinical variables were also obtained. The χ2 test, generalized linear model, and Spearman correlation coefficient were used for statistical purposes. The adopted level of significance was 5%.
Breast cancer survivors experienced significantly greater total and subscale fatigue scores than comparison group (all p-values<0.05). In addition, survivors reported a poorer quality of life in physical (p=0.002), psychological (p=0.03), and social relationships (p=0.03) domains than comparison group. No difference was found for the environmental domain (p=0.08) for both groups. For survivors of breast cancer and for comparison group, the total and subscale fatigue scores were related to lower quality of life (all p-values<0.01).
The findings of this study highlight the importance of assessing fatigue and quality of life in breast cancer survivors.
Summary
Rev Bras Ginecol Obstet. 2015;37(3):119-126
DOI 10.1590/SO100-720320150005247
To assess fatigue and quality of life in disease-free breast cancer survivors in relation to a sample of age-matched women with no cancer history and to explore the relationship between fatigue and quality of life.
A cross-sectional study was conducted in a sample of 202 consecutive disease-free Brazilian breast cancer survivors, all of whom had completed treatment, treated at 2 large hospitals. The patients were compared to age-matched women with no cancer history attending a primary health care center. The Piper Fatigue Scale-Revised and the World Health Organization Quality of Life Instrument (WHOQOL-BREF) were used to measure the fatigue and quality of life, respectively. Socio-demographic and clinical variables were also obtained. The χ2 test, generalized linear model, and Spearman correlation coefficient were used for statistical purposes. The adopted level of significance was 5%.
Breast cancer survivors experienced significantly greater total and subscale fatigue scores than comparison group (all p-values<0.05). In addition, survivors reported a poorer quality of life in physical (p=0.002), psychological (p=0.03), and social relationships (p=0.03) domains than comparison group. No difference was found for the environmental domain (p=0.08) for both groups. For survivors of breast cancer and for comparison group, the total and subscale fatigue scores were related to lower quality of life (all p-values<0.01).
The findings of this study highlight the importance of assessing fatigue and quality of life in breast cancer survivors.
Summary
Rev Bras Ginecol Obstet. 2012;34(10):453-458
DOI 10.1590/S0100-72032012001000004
PURPOSES: To assess the quality of life of breast cancer survivors compared to a sample of age-matched healthy women. METHODS: A cross-sectional design was conducted on 199 consecutive breast cancer survivors, one year or more after diagnosis, treated at two large hospitals. The patients were compared to age-matched healthy women consisting of employees and volunteers of the two hospitals. Quality of life was evaluated using the World Health Organization Quality of Life Questionnaire, version Bref (WHOQOL-bref) and socioeconomic, clinical, and treatment data were obtained. The χ² test and a generalized linear model were used for statistical analysis. The adopted level of significance was 5%. RESULTS: The mean age of breast cancer survivors was 54.4 years (SD=10.4) and the average length of time since diagnosis was 5.0 years (SD=4.6). The survivors reported a poorer overall quality of life (p=0.001), and for the physical (p<0.001), psychological (p=0.002) and environment (p=0.029) domains than the comparison group, after adjusting for potential confounders. There was no significant difference in the social relationships domain (p=0.929) between groups. CONCLUSION: The results suggest that many breast cancer survivors experienced worse quality of life assessment than healthy women. This information may be useful to establish strategies to improve the quality of life of women with breast cancer.
Summary
Rev Bras Ginecol Obstet. 2012;34(10):453-458
DOI 10.1590/S0100-72032012001000004
PURPOSES: To assess the quality of life of breast cancer survivors compared to a sample of age-matched healthy women. METHODS: A cross-sectional design was conducted on 199 consecutive breast cancer survivors, one year or more after diagnosis, treated at two large hospitals. The patients were compared to age-matched healthy women consisting of employees and volunteers of the two hospitals. Quality of life was evaluated using the World Health Organization Quality of Life Questionnaire, version Bref (WHOQOL-bref) and socioeconomic, clinical, and treatment data were obtained. The χ² test and a generalized linear model were used for statistical analysis. The adopted level of significance was 5%. RESULTS: The mean age of breast cancer survivors was 54.4 years (SD=10.4) and the average length of time since diagnosis was 5.0 years (SD=4.6). The survivors reported a poorer overall quality of life (p=0.001), and for the physical (p<0.001), psychological (p=0.002) and environment (p=0.029) domains than the comparison group, after adjusting for potential confounders. There was no significant difference in the social relationships domain (p=0.929) between groups. CONCLUSION: The results suggest that many breast cancer survivors experienced worse quality of life assessment than healthy women. This information may be useful to establish strategies to improve the quality of life of women with breast cancer.