Data are presented as number of cases (% of total) and as mean ± standard deviation (SD). Statistical analysis was performed with the software SPSS version 25 (IBM-Inc., Chicago, IL, USA). Statistical significance was determined with a p-value < 0.05.
Groupings were made according to data collected at the time of assessment. The variable age was divided into <50 years vs. ≥50 years because it is the median age of menopause in Mexico [25 (link),26 ] and in the rest of the world [27 (link)] and also because BCSs under the age of 50 are the ones who suffer more depressive and anxiety symptoms [28 (link),29 (link)]. The variable years since diagnostic or elapsed years was divided into <5 years vs. ≥5 years. Based on this criterion, doctors are able to estimate whether the cancer has been overcome and to aromatase inhibitor treatments and drugs such as tamoxifen, which are prescribed for a period of 5 years after the last CH or RTH [30 (link)]. The following variables were also classified: receiving treatment (receiving treatment vs. without receiving treatment), medical history (with medical history vs. without medical history), marital status (with partner vs. without partner), employment status (employee vs. unemployed), and educational level (up to high school vs. university or higher).
The differences in the total score of depression and anxiety between groups were tested by bivariate analysis, performing a t-test for independent samples, with the group to which each patient belonged as a fixed factor.
In addition, magnitude-based inference (MBI) was used for analysis to determine likelihood of the beneficial/trivial/harmful effect of the variables under study on the depression and anxiety subscales, using a dedicated spreadsheet following the terms and rules specified by Batterham and Hopkins [31 (link),32 (link),33 (link)]. Inferences were based on the confidence interval range of 90% to the smallest clinically meaningful effect to be positive, trivial or negative. Unclear results are reported if the observed confidence interval overlaps both positive and negative values. The levels of likely and compatibility are determined as follows: <0.5%, most unlikely; 0.5–5%, very unlikely; 5–25%, unlikely; 25–75%, possibly; 75–95%, likely; 95–99.5% very likely; >99.5%, most likely.
Groupings were made according to data collected at the time of assessment. The variable age was divided into <50 years vs. ≥50 years because it is the median age of menopause in Mexico [25 (link),26 ] and in the rest of the world [27 (link)] and also because BCSs under the age of 50 are the ones who suffer more depressive and anxiety symptoms [28 (link),29 (link)]. The variable years since diagnostic or elapsed years was divided into <5 years vs. ≥5 years. Based on this criterion, doctors are able to estimate whether the cancer has been overcome and to aromatase inhibitor treatments and drugs such as tamoxifen, which are prescribed for a period of 5 years after the last CH or RTH [30 (link)]. The following variables were also classified: receiving treatment (receiving treatment vs. without receiving treatment), medical history (with medical history vs. without medical history), marital status (with partner vs. without partner), employment status (employee vs. unemployed), and educational level (up to high school vs. university or higher).
The differences in the total score of depression and anxiety between groups were tested by bivariate analysis, performing a t-test for independent samples, with the group to which each patient belonged as a fixed factor.
In addition, magnitude-based inference (MBI) was used for analysis to determine likelihood of the beneficial/trivial/harmful effect of the variables under study on the depression and anxiety subscales, using a dedicated spreadsheet following the terms and rules specified by Batterham and Hopkins [31 (link),32 (link),33 (link)]. Inferences were based on the confidence interval range of 90% to the smallest clinically meaningful effect to be positive, trivial or negative. Unclear results are reported if the observed confidence interval overlaps both positive and negative values. The levels of likely and compatibility are determined as follows: <0.5%, most unlikely; 0.5–5%, very unlikely; 5–25%, unlikely; 25–75%, possibly; 75–95%, likely; 95–99.5% very likely; >99.5%, most likely.
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