Published online Aug 19, 2026. doi: 10.5498/wjp.v16.i8.117305
Revised: March 8, 2026
Accepted: April 22, 2026
Published online: August 19, 2026
Processing time: 190 Days and 22.8 Hours
Patients of reproductive age with breast cancer (BC) experience different degrees of fertility concerns, which may aggravate negative psychological states, com
To examine fertility concerns in relation to negative psychology and social re
A total of 153 reproductive-aged BC patients (March 2022 to March 2025) were enrolled. All patients completed the Reproductive Concerns After Cancer (RCAC) Scale, Self-Rating Anxiety Scale/Self-Rating Depression Scale (SDS), and Social Relational Quality Scale (SRQS) to assess fertility concerns, negative psychology, and social relationship quality, respectively. Pearson correlation coefficients were used to examine associations between RCAC scores and Self-Rating Anxiety Scale, SDS, and SRQS scores. Uni- and multivariate analyses were performed to identify contributors related to fertility concerns.
The mean total RCAC score was (49.56 ± 6.59), with concerns regarding personal and child’s health being the most prominent. Anxiety was found in 37.91% and depression in 35.95% of the patients, mostly with mild symptoms. The total SRQS score was (45.04 ± 7.04). Fertility concerns were positively correlated with ne
Fertility concerns patients of reproductive age with BC are significantly correlated with negative psychological states and social relationship quality. Being married, employed, having a high school education or above, having an annual income of < 40000 yuan, having 0-1 children, or experiencing depression increases the risk of fertility concerns in this population.
Core Tip: This study enrolled 153 reproductive-aged breast cancer (BC) patients to clarify the relationship between fertility concerns, negative psychology, and social relationship quality, and to explore the influencing factors. The findings indicate that patients of reproductive age with BC generally experience fertility concerns to varying degrees. In clinical practice, attention should be directed toward high-risk groups, including those who are married, employed, highly educated, low-income earners, have few children, or experience depression. Comprehensive intervention strategies - such as fertility preservation consultation, psychological support with partners’ participation, and vocational rehabilitation guidance - are reco
- Citation: Deng ST, He XD, Yu F, Yang Y. Fertility concerns in reproductive-aged breast cancer patients: Correlation with negative psychology and social relationship quality, and influencing factors. World J Psychiatry 2026; 16(8): 117305
- URL: https://www.wjgnet.com/2220-3206/full/v16/i8/117305.htm
- DOI: https://dx.doi.org/10.5498/wjp.v16.i8.117305
Breast cancer (BC), one of the most common malignancies of the female reproductive system worldwide, accounted for 560000 cases in 2021, with age-standardized incidence rates showing a steady increase[1]. Approximately 15% of patients are diagnosed before menopause and 7% are under 40 years of age, indicating an increasing risk of BC among women of reproductive age[2,3]. Due to treatment-induced reductions in ovarian reserve, amenorrhea, premature ovarian dys
However, fertility concerns in reproductive-aged BC patients, their correlations with negative psychology and social relationship quality, and associated influencing factors remain insufficiently investigated. Further analyses are required to deepen our understanding of these relationships, thereby providing more effective intervention strategies for this patient population.
Inclusion criteria: Pathology-based BC diagnosis[11]; estrogen-dependent BC with positive estrogen receptor expression in carcinomas; age 18-40 years; intact clinical data and good compliance; normal cognitive and communication abilities.
Exclusion criteria: Pre-existing mental disorders (e.g., anxiety, depression, and bipolar disorder); estimated survival < 1 year; infertility or additional malignancies; audiovisual-verbal dysfunction. A total of 153 patients of reproductive age with BC treated in our hospital (March 2022 to March 2025) were strictly screened according to the above inclusion and exclusion criteria. Figure 1 presents the detailed patient screening process.
Clinical data were collected, including age, marital status, occupation status, education level, residence, annual income, number of children, fertility desire, fertility preservation, Self-Rating Anxiety Scale/Self-Rating Depression Scale (SAS/SDS), Social Relational Quality Scale (SRQS), and Reproductive Concerns After Cancer (RCAC) scale. Before the investigation, all team members received unified training to introduce the questionnaire content, research significance, and precautions using standardized guiding language, ensuring that the patients could make independent judgments. During the formal investigation, trained professionals conducted one-on-one, face-to-face interviews to explain the purpose, significance, and composition, and completion requirements of the questionnaire to obtain patient understanding and cooperation. Questionnaires were distributed and completed on site within 30 minutes. For patients unable to complete the forms independently, the researchers read the questions and recorded responses based on the patients’ own choices. After completion, the investigators reviewed each questionnaire item to ensure accuracy and logical consistency before collecting the forms. All data were subsequently entered into the database.
Fertility concern status. The 18-item RCAC (score range: 18-90; Cronbach’s α = 0.849)[12] was used to assess patients’ fertility concerns across six dimensions (Cronbach’s α range: 0.720-0.864): Personal health (influence of fertility on overall health), child’s health (risk of fetal birth defects caused by conception), becoming pregnant (preparatory conditions for optimal pregnancy), fertility potential (ovarian reserve capacity), acceptance (cognition regarding optimal pregnancy and childbearing), and partner disclosure (spousal knowledge and acceptance of reproductive risks). All items were scored using the 5-point Likert scale (1 = strongly disagree to 5 = strongly agree), with reverse scoring applied to items 5, 10, and 15. Higher scores indicate greater reproductive concern.
Negative psychology. SAS and SDS[13] were used to evaluate patients’ anxiety and depression, respectively. For SAS (20 items), < 50 points indicate no anxiety, 50-59 indicate mild anxiety, 60-69 indicate moderate anxiety, and ≥ 70 indicate severe anxiety. For SDS, < 53 points indicate no depression, 53-62 indicate mild depression, 63-72 indicate moderate depression, and ≥ 72 indicate severe depression. Raw scores are converted to standard scores, with a total score of 100. Higher scores indicate more severe negative emotions.
Social relationship quality. The 17-item SRQS[14] was used to assess social relationship quality across three dimen
SPSS 23.0 software was used for data analysis. Counting data are expressed as n (%). Measurement data passed normality testing and are presented as mean ± SD or median (interquartile range). The two groups were compared using independent samples t-tests. RCAC correlations to SAS, SDS, and SRQS were analyzed using Pearson correlation coefficients. Univariate and multiple linear regression analyses were conducted to explore fertility-associated determinants in patients of reproductive age with BC. Statistical significance was set at P < 0.05.
A total of 153 patients of reproductive age with BC were enrolled in this study. The RCAC total score was (49.56 ± 6.59). Dimension scores, ranked from highest to lowest, were personal health 9.00 (7.00, 12.00), child’s health 9.00 (6.00, 11.00), acceptance 8.00 (6.00, 10.00), becoming pregnant 8.00 (6.00, 10.00), fertility potential 8.00 (6.00, 10.00), and partner disclosure 7.00 (5.00, 10.00) (Table 1).
| Indicators | Score |
| Personal health (points) | 9.00 (7.00, 12.00) |
| Child’s health (points) | 9.00 (6.00, 11.00) |
| Acceptance (points) | 8.00 (6.00, 10.00) |
| Becoming pregnant (points) | 8.00 (6.00, 10.00) |
| Fertility potential (points) | 8.00 (6.00, 10.00) |
| Partner disclosure (points) | 7.00 (5.00, 10.00) |
| RCAC (points) | 49.56 ± 6.59 |
SAS and SDS scores were (47.99 ± 6.59) and (50.32 ± 5.85), respectively. Anxiety and depression prevalence were 37.91% and 35.95%, respectively. Most of the affected patients exhibited mild symptoms (Table 2).
| Indicators | Score |
| SAS (points), mean ± SD | 47.99 ± 6.59 |
| No anxiety | 95 (62.09) |
| Mild anxiety | 50 (32.68) |
| Moderate anxiety | 8 (5.23) |
| Anxiety rate | 58 (37.91) |
| SDS (points) | 50.32 ± 5.85 |
| No depression | 98 (64.05) |
| Mild depression | 53 (34.64) |
| Moderate depression | 2 (1.31) |
| Depression rate | 55 (35.95) |
The total SRQS score was 45.04 ± 7.04, with subscale scores of 12.28 ± 3.25 for friendship, 19.00 (17.00, 23.00) for family intimacy, and 13.33 ± 3.31 for family commitment (Table 3).
| Indicators | Score |
| Friendship (points) | 12.28 ± 3.25 |
| Family intimacy (points), median (interquartile range) | 19.00 (17.00, 23.00) |
| Family commitment (points) | 13.33 ± 3.31 |
| SRQS (points) | 45.04 ± 7.04 |
Pearson’s r analysis showed that RCAC was positively correlated with SAS (r = 0.415) and SDS (r = 0.437) and negatively correlated with SRQS (r = -0.427; all P < 0.05; Figure 2).
Univariate analysis showed no significant correlations between fertility concerns and age, residential area, fertility preservation, SAS, or SRQS (P > 0.05). Significant correlations were observed with marital status, occupational status, edu
| Indicators | n | RCAC (points) | t/Z | P value |
| Age (years) | 0.027 | 0.979 | ||
| < 30 | 105 | 49.57 ± 6.12 | ||
| ≥ 30 | 48 | 49.54 ± 7.59 | ||
| Marital status | 1.991 | 0.048 | ||
| Married | 107 | 50.25 ± 6.84 | ||
| Single | 46 | 47.96 ± 5.71 | ||
| Employment status | -5.700 | < 0.001 | ||
| Unemployed | 87 | 47.00 (43.00, 52.00) | ||
| Employed | 66 | 53.00 (50.00, 56.00) | ||
| Educational level | 5.431 | < 0.001 | ||
| Senior high school or above | 83 | 52.00 ± 5.60 | ||
| Below senior high school | 70 | 46.67 ± 6.54 | ||
| Residence | 0.636 | 0.526 | ||
| Rural | 51 | 49.08 ± 6.75 | ||
| Urban | 102 | 49.80 ± 6.53 | ||
| Annual income (in ten thousand yuan) | 2.905 | 0.004 | ||
| < 4 | 76 | 51.08 ± 6.50 | ||
| ≥ 4 | 77 | 48.06 ± 6.36 | ||
| Number of children | 2.631 | 0.009 | ||
| 0-1 | 62 | 51.23 ± 7.00 | ||
| ≥ 2 | 91 | 48.43 ± 6.07 | ||
| Fertility desire | -3.488 | 0.002 | ||
| Yes | 46 | 53.00 (49.50, 55.50) | ||
| No | 107 | 48.00 (44.00, 53.00) | ||
| Fertility preservation | 0.383 | 0.702 | ||
| Yes | 15 | 48.07 ± 8.56 | ||
| No | 138 | 49.72 ± 6.36 | ||
| SAS (points) | 0.191 | 0.849 | ||
| < 50 | 95 | 49.64 ± 6.21 | ||
| ≥ 50 | 58 | 49.43 ± 7.22 | ||
| SDS (points) | -4.689 | < 0.001 | ||
| < 53 | 98 | 48.00 (43.00, 53.00) | ||
| ≥ 53 | 55 | 53.00 (50.00, 57.00) | ||
| SRQS (points) | 0.938 | 0.350 | ||
| < 45 | 75 | 49.05 ± 5.91 | ||
| ≥ 45 | 78 | 50.05 ± 7.19 |
Multiple linear regression analysis confirmed model significance (F = 11.298, P < 0.001), explaining 32.2% of the total variance (adjusted R2 = 0.322). Variance inflation factor of all independent variables was < 2, indicating no multicollinearity problem in the model. The analysis results indicated that marital status (B = -2.219, P = 0.024), educational level (B = -2.248, P = 0.014), annual income (B = -3.886, P < 0.001), and number of children (B = -2.369, P = 0.011) were inde
| Indicators | Unstandardized coefficient | Standardized beta coefficient | t | P value | 95%CI for B | ||
| B | SE | Lower bound | Upper bound | ||||
| Marital status | -2.219 | 0.972 | -0.155 | -2.283 | 0.024 | -4.139 | -0.298 |
| Employment status | 2.170 | 0.907 | 0.164 | 2.392 | 0.018 | 0.378 | 3.962 |
| Educational level | -2.248 | 0.900 | -0.171 | -2.498 | 0.014 | -4.027 | -0.470 |
| Annual income | -3.886 | 0.919 | -0.296 | -4.226 | < 0.001 | -5.703 | -2.068 |
| Number of children | -2.369 | 0.924 | -0.177 | -2.565 | 0.011 | -4.195 | -0.544 |
| Fertility desire | 0.650 | 0.970 | 0.045 | 0.670 | 0.504 | -1.267 | 2.567 |
| SDS | 2.958 | 0.951 | 0.216 | 3.110 | 0.002 | 1.078 | 4.839 |
This study assumed a close correlation between fertility concerns, negative psychology, and social relationship quality in patients of reproductive age with BC and conducted a verification analysis. The total RCAC score of our cohort (n = 153) was 49.56 ± 6.59, with fertility concerns primarily focused on personal health, child’s health, and acceptance. Therefore, psychological interventions for such patients should be prioritize these domains, with efforts aimed at enhancing their awareness and acceptance of related risks. In addition to the negative effects of disease diagnosis and associated treat
Negative psychological evaluation showed anxiety and depression prevalence rates of 37.91% and 35.95%, respectively, indicating that anxiety and depression are common psychological burdens in this population. The mean SAS and SDS scores were 47.99 ± 6.59 and 50.32 ± 5.85, respectively, suggesting generally mild anxiety and depression; however, the scores approached clinical thresholds, requiring clinical attention. These findings may reflect the dual pressures of cancer treatment and fertility demands faced by patients. Treatment uncertainty and reproductive concerns may further agg
Regression analysis indicated that patients of reproductive age with BC who are married, employed, have a high school education or above, annual income < 40000 yuan, 0-1 children, or depression are at a high risk of fertility concerns. Specifically, married patients may experience stronger family demands regarding childbearing, increasing are psychological pressure and coercion. Employed patients considering their own development needs, income, and social status, may face multiple pressures, elevating fertility concerns. Patients with a high school education or above are more likely to independently access medical information and better understand treatment risks and prognostic implications, potentially leading to pessimism and aggravated fertility concerns. Those with an annual income < 40000 yuan may experience difficulties in making reproductive decisions due to significant economic pressure, a heavier family burden, and a lower ability to withstand risks, heightening their fertility concerns. Influenced by traditional culture and family expectations, patients with 0-1 child may experience stronger reproductive pressure and thus experience higher levels of concern. Depressed patients may exhibit helplessness and cognitive bias, further intensifying reproductive concerns. Rodriguez-Wallberg et al[20] found that desire for future children, anxiety, and low self-efficacy were independently associated with childbirth-related pain in patients of reproductive age with cancer, complementing this study’s results.
Several limitations in this study should be acknowledged. First, this was a single-center study; future multi-center studies are needed to improve generalizability. Second, only BC patients of childbearing age were enrolled, without healthy controls or patients with non-fertility-related for comparison. Future studies should expand sample size and incorporate comparative groups to more comprehensively characterize the specificity of fertility concerns in patients of reproductive age with BC.
In summary, patients od reproductive age with BC experience different levels of fertility concerns influenced by multiple factors. Clinically, comprehensive intervention programs should be targeted toward high-risk groups (married, employed, high school education or above, annual income < 40000 yuan, 0-1 child, and depressed), including fertility preservation counseling, partner-inclusive psychological support, and vocational rehabilitation guidance.
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