Page 144 - EJMO-9-3
P. 144

Eurasian Journal of
            Medicine and Oncology                                                       CRCI factors in breast cancer



            and education. This training was conducted in a quiet,   family history of breast cancer, and 84.47% reported no
            comfortable, and enclosed setting, occurring twice weekly   complications. The predominant living arrangement was
            for sessions lasting 60 minutes each, with the flexibility to   with a spouse and children, accounting for 87.89% of the
            adjust based on individual patient needs. The cognitive   participants. Regarding cancer staging, 24.21% were at
            function changes in the intervention group were assessed   stage I, 44.21% at stage II, 21.84% at stage III, and 9.74% at
            using  the  FACT-Cog  scale  before  the  intervention  and   stage IV. Sixty-nine cases (18.16%) had diabetes mellitus,
            3  months post-intervention. The specific components of   while 311 cases (81.84%) did not. In addition, there were
            cognitive behavioral  intervention  encompass attention   98  cases (25.79%) with a BMI <18.5  kg/m², 121  cases
            enhancement, visuospatial skill development, memory   (31.84%) with a BMI between 18.5 and 24 kg/m², 105 cases
            training, orientation exercises, executive function training,   (27.63%) with a BMI between 24 and 28  kg/m², and
            and computational ability enhancement.             56 cases (14.74%) with a BMI ≥28 kg/m² (Table 1).

            2.3. Statistical analysis                          3.2. Status of cognition function in breast cancer
            The data were entered into Epidata 3.0 to construct a   patients
            database, and statistical  analyses  were  performed using   Following chemotherapy, the FACT-Cog score among the
            SPSS 26.0 (IBM SPSS 26.0, SPSS Inc.) and AMOS 22.0   380 patients in this study was 104.76 ± 22.18 points. Among
            software  (Amos Development Corporation,  Chicago,   these patients, 75 exhibited a decrease of ≥10.6 points
            IL, USA). Descriptive statistics are presented as mean ±   compared  to  their  pre-chemotherapy  scores,  indicating
            standard deviation (SD) for continuous variables and as   a chemotherapy-related cognitive dysfunction incidence
            frequency and  percentage  for categorical  variables.  The   rate of 19.74%. The four dimensions assessed were
            impact of variables from the general population and disease   perceived cognitive impairment (58.89 ± 8.19), comments
            data on cognitive function was evaluated using one-way   from others (12.95 ± 2.10), perceived cognitive abilities
            analysis of variance. Both unadjusted and multivariable-  (18.71 ± 7.01), and impact on quality of life (11.68 ± 1.74).
            adjusted  logistic  regression models  were  employed  to
            analyze cognitive function. Differences between the two   A comparison of scores before and after chemotherapy is
            groups were compared using the t-test. Explanatory factor   presented in Table 2.
            analysis was conducted utilizing maximum likelihood   3.3. Depression, anxiety, social support, and
            estimation with orthogonal rotation, with the scree plot   cognitive function in breast cancer patients
            and eigenvalues (≥1) employed to determine the requisite   undergoing chemotherapy
            number  of  factors.  Subsequently,  confirmatory  factor
            analysis was performed using maximum likelihood    Among 380 breast cancer patients who underwent
            estimation methods, and various statistical indices were   chemotherapy, 185 individuals (48.68%) exhibited
            utilized to assess model fit, including the ratio of the χ²   symptoms of anxiety. The prevalence of mild, moderate,
            to degrees of freedom (CMIN/DF)/Chi-squared statistics,   and severe anxiety was 30%, 15.79%, and 2.89%,
            root mean square error of approximation, comparative fit   respectively, with an average anxiety score of 16.18 ± 3.77.
            index, standardized root mean square residual, goodness-  In addition, 184 patients (48.42%) experienced depressive
            of-fit index (GFI), adjusted GFI, and Tucker–Lewis   symptoms, with the incidence rates of mild, moderate,
            index. The ft indices of models were evaluated against the   and severe depression being 31.58%, 14.47%, and 2.37%,
            predefined criteria. p<0.05 indicated statistically significant   respectively. The average depression score was 17.39 ±
            difference.                                        3.95 (Table 3).

            3. Results                                           The overall social support scores averaged 38.34 ±
                                                               16.31 points, comprising 12.23 ± 16.77 points for objective
            3.1. Characteristics of study participants         support, 18.82 ± 3.86 points for subjective support, and
            Table 1 presents the baseline characteristics of the study   6.61 ± 1.05 points for support utilization. Among the
            population. The average age of participants was 63.81 years   participants, 48  cases (12.63%) exhibited low levels of
            (SD = 9.01), with a significant proportion (41.05%) being   social support, 201 cases (52.89%) demonstrated medium
            over 41  years of age. The majority of participants were   levels, and 130 cases (34.21%) showed high levels of social
            female (99.47%) and married (91.32%). In addition,   support. The t-test analyses indicated that both the total
            61.9% reported no family history of breast cancer, and   and individual dimension scores of social support for
            73.1%  had  <12  years  of  education,  with  most  having   patients  with  breast  cancer  post-chemotherapy  were
            completed high school to college education. Furthermore,   significantly lower than the normative scores of a healthy
            36.58% of participants were unemployed, 85.79% had no   domestic population  (p<0.05), as detailed in Table 4.
                                                                               20

            Volume 9 Issue 3 (2025)                        136                         doi: 10.36922/EJMO025130073
   139   140   141   142   143   144   145   146   147   148   149