Predicting Psychosocial Risk in Patients With Breast Cancer

Ganz, Patricia A.; Hirji, Karim F.; Sim, Myung‐Shin; Schag, Cyndie Coscarelli; Fred, C.; Polinsky, Margaret L.

doi:10.1097/00005650-199305000-00004

Cited by 145 publications

(85 citation statements)

References 28 publications

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“…Because the PCS and MCS are linear combinations of the eight SF-36 scales, they were assessed in a separate MANCOVA. Numerous studies have shown that HRQL varies by demographic characteristics [22][23][24][25][26]; therefore, the covariates age, education (6high school vs. > high school), marital status (married or living as married vs. other), and race (white vs. non-white) were assessed for statistical significance, which was defined as Wilks' Lambda p < 0.05. If the null hypothesis (i.e., the vectors of average scale scores for all three groups were the same) was rejected, separate ANCOVAs were used to identify the individual scales on which the groups differed significantly.…”

Section: Discussionmentioning

confidence: 99%

Comparing SF-36 scores across three groups of women with different health profiles

et al. 2005

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Background: The widespread use of the Medical Outcomes Study (MOS) 36-item Short-Form Health Survey (SF-36) facilitates the comparison of health-related quality of life (HRQL) across independent studies. Objectives: To compare the scores of eight scales and two summary scales of the SF-36 across participants in the Women's Healthy Eating and Living (WHEL) trial, the Women's Health InitiativeDietary Modification trial (WHI-DM), and the MOS, and to illustrate the use of effect sizes for interpreting the importance of group differences. Methods: WHEL and WHI-DM are both multi-center dietary interventions; only data from the UC Davis sites were used in our study. WHEL participants had a recent history of breast cancer, WHI-DM participants were healthy, postmenopausal women, and women in the MOS had a history of hypertension, diabetes, heart disease, or depression. General linear models were used to identify statistically significant differences in scale scores. Meaningful differences were determined by effect sizes computed using a common within-group standard deviation (SD) and SDs from normative data. Results: After adjusting for age and marital status, SF-36 scores for the WHI-DM and WHEL samples were similar and both had statistically significantly higher scores than the MOS sample. Relative to the WHEL or WHI-DM studies, MOS scores for scales related to the physical domain were clearly meaningfully lower whereas scale scores related to the mental health domain were potentially meaningfully lower. Conclusions: The HRQL of breast cancer survivors is comparable to that of healthy women and better than that of women with chronic health conditions, particularly with respect to physical health. This study illustrated the use of ranges of effects sizes for aiding the interpretation of SF-36 scores differences across independent studies.

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Section: Discussionmentioning

confidence: 99%

Comparing SF-36 scores across three groups of women with different health profiles

et al. 2005

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“…The multimodal treatment of breast cancer improves survival outcomes, but it also contributes to a prolonged period of medical intervention with associated physical and emotional consequences [1]. Research has demonstrated that women with disease-free survival beyond five years often experience psychological distress, concerns about rehabilitation, and employment difficulties as a result of the diagnosis [2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

The Unmet Needs of African American Women with Breast Cancer

Friederichs-Fitzwater

Denyse

2012

ABCR

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Breast cancer is the most common cancer in women and treatment includes various combinations of surgery, chemotherapy, and/or hormone therapy. The multimodal treatment of breast cancer improves survival outcomes, but it also contributes to a prolonged period of medical intervention with associated physical and emotional consequences. However, we know less about the specific clinical experiences of African American (AA) women during treatment for breast cancer and in survivorship. The studies that have addressed the issue of breast cancer in AA women have focused primarily on early detection and epidemiological variables such a screening, mortality and staging at diagnosis. In our study, in-depth semi-structured phone interviews were conducted to explore the clinical experiences, concerns and needs of AA women who had survived breast cancer. The AA women reported that their physicians did not provide adequate disease and treatment information; did not discuss clinical trials with them; and did not offer access to support services.

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“…Ganz and her collaborators Ganz et al, 1993) have noted the importance of such an effort for cancer research, as there has been a shift from description of adjustment processes to the identification of risk factors for psychosocial distress. With a disease such as cancer, there are medical contributors to risk, such as the extent of disease or treatment, as indicated in studies of breast cancer patients (e.g.…”

Section: Introductionmentioning

confidence: 99%

Sexual self-schema and sexual morbidity among gynecologic cancer survivors.

Andersen¹,

Woods²

1997

Journal of Consulting and Clinical Psychology

141

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Longitudinal research indicates that approximately 50% of women treated for gynecologic cancer have sexual dysfunctions as they recover and become cancer survivors. This outcome occurs in the context of satisfactory quality of life in other domains. This study, comparing gynecologic cancer survivors (n = 61) and gynecologically healthy women (n = 74), documents the reliability of the latter observations with measures of quality of life (general, depressive symptoms, social contacts, and stress), sexual functioning, and health. Of added importance are analyses focused on variables that may predict risk for sexual morbidity. Specifically, sexual self-schema is tested as an important, sexually relevant individual difference. In regression analyses that controlled for estimates of precancer sexual behavior (intercourse frequency), extent of disease-treatment, and menopausal symptoms, sexual self-schema accounted for significant variance in predicting current sexual behavior and responsiveness.The role of individual difference factors as predictors for psychological and behavioral morbidity has been an important focus of research in health psychology (see review by Adler & Matthews, 1994). Ganz and her collaborators Ganz et al., 1993) have noted the importance of such an effort for cancer research, as there has been a shift from description of adjustment processes to the identification of risk factors for psychosocial distress. With a disease such as cancer, there are medical contributors to risk, such as the extent of disease or treatment, as indicated in studies of breast cancer patients (e.g. Bloom et al., 1987; Maunsell, Brisson, & Deschenes, 1992), but psychological variables appear important too. Specifically, individual differences appear relevant, and furthermore, we have suggested that predictive power may be enhanced by choosing ones that are outcome specific (Andersen, 1994a). For example, if emotional distress is the outcome to be predicted, Carver's data (Carver et al., 1993) suggest that optimism is important. In their longitudinal study of women with breast cancer, they found that optimism was inversely related to later distress and, moreover, that this effect appeared to be mediated by the tendency of optimists to cope differently. In coping, optimists used acceptance and positive refraining rather than denial or behavioral disengagement.Our research has focused on one area of distress and behavioral dysfunction-sexual morbidity -for female survivors. Several controlled studies, retrospective as well as longitudinal, Andersen, 1985). For those with gynecologic cancer, there have been many studies describing the sexual problems and they suggest that approximately 50% of women have continuing, difficult sexual problems or dysfunctions (e.g., see Andersen & van der Does, 1994, or Weimar Schultz, van de Weil, Hahn, & Bouma, 1992, for reviews). None of these studies, however, have specified models for predicting which women would be at risk for the development of sexual problems. During times of l...

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Predicting Psychosocial Risk in Patients With Breast Cancer

Cited by 145 publications

References 28 publications

Comparing SF-36 scores across three groups of women with different health profiles

Comparing SF-36 scores across three groups of women with different health profiles

The Unmet Needs of African American Women with Breast Cancer

Sexual self-schema and sexual morbidity among gynecologic cancer survivors.

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