Table 1.
Socio-demographic and clinical characteristics and balance per group.
| T1 (n = 112) | CG (n = 56) | EG (n = 56) | Differences between Groups d |
|---|---|---|---|
| Freq./M (SD) | Freq./M (SD) | Estimate, p-Value | |
| Sociodemographic variables | |||
| Age | 51.48 (10.34) | 53.50 (10.22) | 2.02, p = 0.295 |
| Local residence: | |||
| Urban | 18 | 19 | −0.08, p = 0.841 |
| Rural | 38 | 37 | |
| Marital status: | |||
| Married/cohabiting | 45 | 43 | 0.213, p = 0.645 |
| Unmarried a | 11 | 13 | |
| Education: | |||
| Primary Studies | 40 | 32 | 0.72, p = 0.071 |
| Secondary studies | 9 | 13 | |
| University degree | 7 | 11 | |
| Professional Situation: | |||
| Active | 1 | 3 | −1.14, p = 0.332 |
| Not active | 55 | 53 | |
| Clinical variables | |||
| Surgery type: | |||
| Lumpectomy | 45 | 44 | 0.11, p = 0.815 |
| Mastectomy b | 11 | 12 | |
| Cancer Stage: | |||
| T1 | 27 | 17 | 0.759, p = 0.055 |
| T2 | 29 | 39 | |
| Axillary lymph node dissection: | |||
| Yes | 29 | 25 | 0.29, p = 0.450 |
| No | 27 | 31 | |
| Number of Chemotherapy Cycles/Cytotoxic Drugs c | |||
| 4 cycles (AC) | 18 | 18 | 0.36, p = 0.297 |
| 6 cycles (FEC-D) | 15 | 9 | |
| 8 cycles (AC-D) | 7 | 4 | |
| 16 cycles (AC-P) | 16 | 25 | |
| Breast Cancer Grade: | |||
| 1 | 7 | 6 | −0.01, p = 0.981 |
| 2 | 35 | 37 | |
| 3 | 14 | 13 | |
| Months since diagnosis: | 2.79 (1.12) | 2.96 (1.32) | 0.06, p = 0.429 |
| Psychological Variables | |||
| QoL | 71.45 (16.08) | 74.4 (14.79) | 0.13, p = 0.356 |
| Anxiety | 6.91 (4.09) | 5.25 (3.53) | −0.28, p = 0.076 |
| Depression | 4.44 (3.63) | 3.93 (2.94) | −0.11, p = 0.504 |
Note: M = mean; SD = standard deviation; Freq. = frequencies. a Includes single/separated/widowed/divorced. b Includes modified radical mastectomy, single mastectomy, and bilateral mastectomy. c AC = adriamycin−cyclophosphamide; FEC-D = 5-fluorouracil/epirubicin/cyclophosphamide followed by docetaxel; AC-D = adriamycin−cyclophosphamide followed by docetaxel; AC-P = adriamycin−cyclophosphamide followed by paclitaxel. d Estimated differences and significances were assessed through regression modelling. Appropriate regressions (with default links) were selected according to the dependent variable: normal (age), logistic (local residence, marital status, professional situation, surgery type, BC stage, and axillary lymph node dissection), ordinal (education, CT cycles, and BC grade), Conway−Maxwell−Poisson (months since diagnosis), and beta (QoL, anxiety, and depression).