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Assessment of socio-relational self-efficacy in breast cancer patients: Italian validation of the social relationship coping efficacy scale (SRCE-I)



Social relationship coping efficacy (SRCE) represents the ability to maintain or enhance social relationships in the context of serious illness. The purpose of the current study was to confirm the factor structure, psychometric properties, and utility of the Italian version of the SRCE scale.


181 breast cancer patients completed the SRCE-Italian (SRCE-I), the Cancer Behavior Inventory–Brief/Italian (CBI–B/I), quality of life (QOL) measures (EORTC QLQ-C30; EORTC QLQ-BR23), and the Hospital Anxiety and Depression Scale (HADS).


The SRCE-I was internally consistent (Cronbach alpha = .95) and factor analysis confirmed that the SRCE-I was a unidimensional construct. In terms of validity, the SRCE-I was correlated with QOL (EORTC QLQ-30, Social Functioning, r = .33, Emotional Functioning, r = .57, and Global Health/Quality of Life; r = .54) and scales of the EORTC QLQ-BR23 (e.g., Future Perspective, r = .38; Breast Symptoms, −.31). SRCE-I was also correlated negatively with the HADS (r = −.72) and positively with the CBI–B/I (r = .79), a measure of coping efficacy (all ps < .001). Mediation analyses confirmed the utility of the SRCE-I scale as a mediating mechanism in enhancing social functioning and QOL.


The SRCE-I is a structurally sound, reliable, and valid measure that assesses the ability to maintain or enhance social support and mitigate the loss of social support. The SRCE-I can be used as a screening measure to assess low efficacy for maintaining social support or as a measure to detect the change in efficacy for enhancing social support in interventions to improve the QOL of patients.

Peer Review reports


Supportive personal relationships contribute substantively to the well‐being of cancer patients by fostering adjustment during cancer treatment and post-treatment [1, 2] as well as promoting positive quality of life [3,4,5], positive medical outcomes [6], and increased survival time [7, 8]. The importance of social support is evident from survey data of cancer patients’ perceptions of their needs for social support from family and friends [9] and intimate partners [10, 11]. Whereas patients are generally satisfied with the support they receive, that does not hold for all patients especially younger patients [12], who may be particularly vulnerable to anxiety in unsupportive relationships [13]. In contrast to the beneficial effects of social support, lack of social support can have negative personal effects [14], decrease QOL [15], and increase cancer recurrence and mortality [16, 17]. Thus, in the course of coping with serious illnesses such as cancer, maintaining or enhancing support may promote not only quality of life but also longevity.

A reduction of social support in the context of cancer is not uncommon and may be a function of the physical limitations that accompany the disease and its treatments [18,19,20]. In addition to the shrinking of social networks of cancer patients, there is also the issue of maintaining the quality of close personal relationships such as with a spouse or partner [10, 11, 21]. However, even with the best of intentions on the part of the support-giver, there may be detrimental effects of a mismatch between the need for support and the support provided [22]. This mismatch may take for form of not only neglecting to provide the support that was needed but also providing support when it is not needed, thereby undermining the patient’s personal agency concerning self-care and reinforcing “sick role” behavior [23]. Thus, in order to optimize social support and supportive relationships, the provider of support must assess the need and provide support accordingly [24]. However, the alignment of provision and need for support may not be the sole responsibility of the provider, but may also be a role that the support-recipient assumes [25]. That is, in contrast to the provider determining the conditions of the provision of support, the person with cancer can also play a role in shaping the matching of need with provision, which makes the support process bidirectional and dynamic as opposed to unidirectional and static. This last point is especially important for the current study because the model of persons with cancer being active agents of their well-being [26] and disclosing the diagnosis of cancer to patients by medical professionals are not as prevalent in Italy as in the US [27]. Thus, social support and its enactment may have some variations that are a function of the culture in which this process occurs. Therefore, it is important to study these processes in different cultures in order to document similarities and differences.

The focus on the patient’s role in the matching of need and provision of support was embodied in a new construct, social relationship coping efficacy (SRCE) that is grounded in Self-efficacy Theory [28, 29] and Self-regulation Theory, which assume that the individual has certain goals (e.g., increase intimacy with a partner) and engages in behaviors that may close the gap between a current state (e.g., loss of social support) and a desired goal state (e.g., regain, maintain, or enhance social relationships and social support) [30]. The SRCE scale [25] assesses the confidence of the person with cancer to execute behaviors such as “managing stress in my relationships”, “doing my part to help family members accept/ understand my diagnosis”, and “seeking emotional support from others.” As opposed to being a mere recipient of social support, SRCE emphasizes the agentic role of the cancer patient to create the conditions under which social support is optimized. Finally, SRCE might explain why some people are able to maintain or enhance social support despite the disease while others are not able to mitigate the loss of social support.

The psychometric properties of the 10-item SRCE scale include strong internal consistency and concurrent validity as well as unidimensionality. These properties have been replicated in a Greek version of the SRCE scale [31]. In addition, SRCE has been tested in a double mediation model [25] as a mediating mechanism between physical debilitation, which brings about loss of social support, and received social support. In that model, SRCE was a mediating mechanism that was positively related to social support, and thus, may account for recovery of social support that was compromised by physical debilitation. In addition, in the double mediation model, whereas SRCE was directly related to QOL outcomes (social/family well‐being and psychological distress) social support partially mediated the relationship between SRCE and those QOL outcomes [25]. These intricate relationships demonstrate the role of SRCE in potentially reversing negative outcomes due to the physical limitations that are endemic to cancer and its treatments. Thus, the SRCE scale may be useful in clinical practice to assess the patient’s agency for optimizing social support and in interventions that enhance social support and QOL.

In addition to the SRCE, a recently developed measure of social relationships, the Social Relational Quality Scale (SRQS) [32], assesses the current state of relationships along three dimensions: Family Intimacy, Family Commitment, and Friendships. This measure was also developed and used in the context of cancer and other serious illnesses and is correlated with hope [33] and acceptance of illness [34]. However, in contrast to the SRQS and other relationship assessment scales (e.g., Perceived Relationship Quality Components Inventory) [35], which are designed to be descriptive, the SRCE was designed not only for descriptive purposes but also for prediction. In the context of Self-Efficacy Theory, the SRCE scale is a measure of behavior expectancy for engaging in behaviors that might enhance personal relationships and social support in the near future. Thus, SRCE is an agentic, motivational construct that, in the context of Self-Regulation Theory [30], is tied to goals or outcomes, and therefore goes beyond descriptive utility.

The purpose of the current study was to examine the psychometric qualities including validity of the Italian version of the social relationship coping efficacy scale [25] on a sample of Italian women who were receiving treatment for breast cancer. In addition, the utility of SRCE as mediator between physical functioning and quality of life was examined. Given the high quality of the SRCE scale in a mixed sample of cancer patients in the USA [25] and in a sample of Greek breast cancer patients [31], the determination of its validity for Italian cancer patients is a logical extension of that prior work to provide evidence about its cross-cultural application. Therefore, the SRCE scale was translated into Italian and its reliability, structural validity, concurrent validity and utility in mediating the relationship between physical debilitation and quality of life outcomes were examined on a sample of Italian women with breast cancer. Based on prior work [25, 31], we hypothesized that the SRCE-Italian scale would be internally consistent, unidimensional in structure, and valid based on its relationships with a variety of measures that focused on social and emotional functioning as well as quality of life. Finally, mediation analyses were conducted to test the replication of SRCE as mediating mechanism between physical functioning and quality of life outcomes. In sum, we hypothesized that the SRCE construct would be culturally valid in Italy as it is in the US and Greece.



The inclusion criteria established for the present study were: breast cancer patient, at least 18 years old, having received or engaged in active cancer-related treatment (i.e., surgery, chemotherapy, radiation therapy, hormone therapy) and not in palliative care. Patients were receiving treatment at the Veneto Institute of Oncology-IRRCS (IOV) or the Sacro Cuore Hospital—Don Calabria-IRCCS in Negrar (VR). The exclusion criteria were: insufficient language skills to complete the questionnaires, deficits in functional autonomy, clinical conditions that hindered the completion of questionnaires independently such as severe psychiatric disorders, intellectual disability, or cognitive impairment (related to people, place, or time). Data were collected between May 31, 2016 and May 18, 2021.

Based on the inclusion and exclusion criteria, 181 patients participated in the study; 200 patients were initial approached and asked to participate, 19 declined resulting in 181 participants, a 90.5% participate rate. The age of the participants ranged from 27 to 75 years with a mean age of 50.44. Most of the participants (63%) were married/partnered, had a high school diploma (41%), were employed (69%), practiced religion (55%), and cohabitated with other people (90%). In terms of medical information, which was garnered from medical charts, at diagnosis, 35% were Stage I, 31% Stage II, 21% Stage III, 4% Stage IV, and 9% were not staged; 28% had metastatic disease. With regard to treatments, 80% had surgery, 44% had radiotherapy, 56% had chemotherapy, and 70% received hormone treatment. Table 1 contains more detailed information about the participants.

Table 1 Participant demographic and medical information (N = 181)


In order to broaden the sample, the Veneto Institute of Oncology-IRRCS (IOV) created a partnership with the Sacro Cuore Hospital—Don Calabria-IRCCS in Negrar (VR) to have a more geographically diverse sample of Italian women with breast cancer. Patients who met the criteria for participation were given a survey packet with a consent form and measures. The consent form was prepared according to the procedures established by current laws, regulations, and ethical standards for the treatment of human research participants. The study was approved by the IOV—IRCCS Research Ethics Committee, all procedures were in accordance with the 1964 Helsinki declaration and its later amendments, and all participants provided informed consent.

For those who consented to participate, the measures packet was completed in one session, which took at about 45 min. Participants were encouraged to complete all items to the best of their ability. In order to maintain confidentiality, a code was attached to the packet, which was separated from the consent forms. All consent forms were kept in the locked files of the researchers at each location.


The participants completed a packet containing: the informed consent form, in which the study’s objectives were presented, a release of information form that allowed the researchers to access specific medical information from the patients’ medical records, a personal data sheet with items to gather socio-demographic and self-report medical information, and five self-report surveys described below.

Personal datasheet

The participants completed multiple-choice and open-ended questions related to their socio-demographic information including age, marital status, level of education, occupation, spirituality, family network, hobbies, and volunteering. Other information about time since diagnosis, tumor stage, metastasis, and therapies was derived from the patients’ medical records.

Social relationship coping efficacy (SRCE-I)

The social relationship coping efficacy scale [25] is a 10-item scale that assesses self-efficacy for the ability to engage in behaviors that might foster maintenance or enhancement of close social relationships in the context of illness. Based on the English version, the SRCE-Italian consists of 10 items (e.g., managing stress in my relationships, adjusting to the ways cancer affects my family) that are rated on a Likert-type scale ranging from 1 (not at all confident) to 9 (totally confident) with respect to performing the behavior. Cronbach's alphas for the English [25] and Greek [31] versions (0.97 and 0.87, respectively) were very strong and validity was confirmed with significant correlations with multiple measures of social functioning as well as social, emotional, and functional well-being [25]. Factor analyses confirmed that the English and Greek versions of the SRCE were unidimensional.

Translation of the SRCE-I

The translation of the SRCE-I was performed in accordance with the EORTC guidelines [36], which began with obtaining permission from the original authors [25] to translate the SRCE into Italian. The initial translation from English was completed independently by two native speakers of Italian with excellent English skills, who were employed at the Veneto Institute of Oncology. The two Italian versions were compared and, based on consensus, a third version was compiled, which was back-translated to English by a native English speaker with excellent fluency in Italian. That person compared the back-translated version with the original English version and resolved differences in wording. Taking into account the back-translated English version, the original version, and the Italian version, the initial Italian translators collaborated on a further revision that resolved differences and provided a consensus translation of the SRCE into Italian (SRCE-I). A pilot phase was subsequently conducted, which included: (1) an administration of the SRCE-I to five patients who were representative of the sample included in this study; (2) a thorough interview to probe the patients’ understanding of the items; (3) the collection and recording of any perceived difficulties with items and suggestions, and (4) an analysis of the SRCE-I qualitative data. The final version of the SRCE-I was back-translated into English and sent to the original authors, who evaluated and approved that version.

Hospital anxiety and depression scale (HADS)

The Hospital Anxiety and Depression Scale (HADS) [37, 38] assesses the experience of anxiety (7 items) and depression (7 items) during the previous week. Items are rated on a 4-point Likert-type scale from 0 to 3 that varies with items but generally assesses the frequency of the experience. Scoring consists of summing the items within each of the anxiety and depression scales and summing those components to form a total score. Validity [38] and utility of the HADS has have been established in many cultural contexts [39]. Cronbach’s alpha internal consistency coefficients for the HADS (Italian) in the current sample were the following: HADS-A = 0.87, HADS-D = 0.83, HADS-Total = 0.91.

Cancer behavior inventory—brief Italian version (CBI–B/I)

The CBI–B/I [40] is a 12-item measure of self-efficacy for coping with cancer. Whereas there is a factor structure to the CBI–B/I [40] and the original English version [41], it is generally used as a unidimensional scale. The internal consistency reliability of the CBI–B/I is strong (alpha = 0.86) and validity has been established by significant correlations with the EORTC QLQ-C30 [42], Mini-MAC [43], and HADS [37]. In addition, differences in CBI–B/I scores comparing high versus low levels of the ECOG-Performance Status measure [44] supported the clinical utility of the CBI–B/I. Cronbach’s alpha value of internal consistency for the CBI–B/I total score in the current sample was 0.93.


The EORTC QLQ-C30 [42] is a quality-of-life measure with solid psychometric properties. This measure has been translated and validated in Italian [45, 46]. The EORTC QLQ-C30 consists of 30 items organized into five areas of functioning (physical, role, emotional, cognitive, and social), nine symptom subscales/items (fatigue, nausea/vomiting, pain, dyspnea, insomnia, appetite loss, constipation, diarrhea, and financial difficulties) and a Global Health/Quality of Life subscale. Items are rated on a 4-point Likert-type scale, ranging from 1 (not at all) to 4 (very much), except for the two items related to the Global Health/Quality of Life subscale that are rated on a 7-point scale, ranging from 1 (very poor) to 7 (excellent). Mean scale scores are converted to a 0–100 scale using the linear transformation in the EORTC manual. Higher scores on the symptom scales indicate a greater degree of symptom burden, whereas higher scores on the functioning and Global Health/Quality of Life subscales indicate better functioning and better quality of life.


The EORTC QLQ BR23 [47] is a breast-cancer-specific quality of life measure that was designed to accompany the EORTC QLQ C-30. The BR-23 contains 23 items that map onto 6 scales: sexual functioning, sexual enjoyment, future perspective, systemic therapy side effects, breast-related symptoms/arm-related symptoms. Items are rated on a Likert scale (1 = no, 2 = a little, 3 = a lot, 4 = very much) and lower scores indicate a more positive perception of quality of life.

Data analysis plan

Statistical analyses were conducted with Statistical Package for the Social Sciences (IBM SPSS Statistics, Version 27, IBM Corp., Armonk, N.Y., USA). Reliability was tested to determine the internal consistency of the social relationship coping efficacy scale—Italian (SRCE-I) using Cronbach’s alpha coefficient. Structural validity was evaluated using principal axis factor analysis. Concurrent validity was assessed through correlations of the SRCE-I with other measures: HADS, CBI–B/I, EORT QLQ-30, and EORTC QLQ-BR23. The normality for the distributions of all measures was assessed with the Shapiro–Wilk test. Significant p-values (p < 0.001) were found for all variables therefore, non-parametric Spearman rho coefficients were used to compute the relationship of the SRCE-I with other measures (Table 3). Bonferroni adjustment for multiple correlations was used based on the maximum number of scales in the criterion measure (i.e., the 10 Physical Symptom Scales in EORTC QLQ-30).

The relationship of each demographic and medical variable with SRCE-I was evaluated initially at the univariate level using simple regression analysis followed by the multivariate level with multiple regression model. In addition, mean SRCE differences were tested between married/partnered participants and those who were not as well as between those who were in Stages I and II versus Stages III and IV at diagnosis. Age differences that emerged were investigated with regression analyses and measurement invariance. Multigroup Confirmatory Factor Analyses (MCFA) were analyzed using the lavaan package [48] in R software with the estimator of diagonally weighted least squares (DWLS) because such an estimator is suitable for Likert-type scales used with the SRCE-I.

Finally, as a test of the utility of the SRCE-I to potentially mitigate the loss of social support, mediation analyses were conducted with SRCE-I as a mediator between a measure of physical functioning (EORTC QLQ-30 Physical Functioning) and three dependent measures: Social Functioning and Global Health/Quality of Life (EORTC QLQ-30) and the HADS total score (Anxiety and Depression). Mediation analyses were conducted using Hayes’ PROCESS [49] program embedded in SPSS Statistics 28.0. Confidence interval for each effect was estimated by bootstrap (95% confidence, 5000 bootstrap samples).


Reliability analysis

Cronbach’s alpha for the SRCE-I 10 item-scale was 0.95 indicating very high internal consistency reliability. All items were important for inclusion based on the item-to-total score correlations for each item, which ranged from 0.71 to 0.83 (Table 2). In addition, a consistently high Cronbach’s alpha (alpha = 0.94) was obtained even when one item at a time was deleted and alpha was recomputed. Collectively, these data indicate strong internal consistency and substantial inter-relationship among the items in the SRCE-I.

Table 2 Item statistics, factor loadings, and communality values for each item of the SRCE-I

Structural analysis

A significant Bartlett’s Test of Sphericity (Chi-Square = 1590.39, p < 0.001) indicated statistically strong correlations among the items, rejecting the null hypothesis that the SRCE-I items were independent of each other. In addition, a Kaiser–Meyer–Olkin Measure (KMO) Index of 0.897 confirmed the adequacy of sampling. Exploratory factor analysis, using the principal axis factor (PAF) method, extracted a single factor with an eigenvalue greater than 1, which confirmed the factor structures in the English [25] and Greek versions of the SRCE scale [31]. In addition, the one-factor model explained 68% of the total variance. All factor loadings were greater than 0.70 and all communalities exceeded 0.50, indicating all variables contributed to the solution (Table 2).

Validity analyses

The concurrent validity of the SRCE-I was confirmed by significant correlations with other measures (Table 3). In particular, the SRCE-I was positively correlated with the CBI–B/I total score (r = 0.79, p < 0.05), which indicated a positive correlation with self-efficacy for coping with cancer. Importantly for concurrent validity with similar constructs, the SRCE-I was significantly positively correlated with the EORTC QLQ-30 Role (r = 0.30, p < 0.05) and Social Functioning scales (r = 0.33, p < 0.05), indicating that efficacy for maintaining or enhancing social relationships is positively related to social adjustment. Furthermore, positive relationships with the Global Health/Quality of Life (r = 0.54, p < 0.05), and Emotional Functioning (r = 0.57, p < 0.05, scales of the EORT QLQ-30 as well as inverse correlations with the Anxiety (r = −0.64, p < 0.05) and Depression (r = −0.69, p < 0.05) scales of the HADS supported the relationship between maintaining or enhancing social support (i.e., the SRCE-I) and more general psychosocial functioning. Finally, the significant relationships and the direction of the correlations between the SRCE-I and the physical, functional, and symptom scales of the EORTC QLQ-30 and EORTC QLQ-BR23, with few exceptions, supported the relationship between maintaining or enhancing close personal relationships and physical functioning.

Table 3 Correlation SRCE with others measures: concurrent validity coefficients

SRCE-I and demographic and medical variables

A multivariate, multiple regression analysis with all demographic and medical variables included revealed that only age (b = −0.34, p = 0.003) was a statistically significant predictor of SRCE-I. In addition, the mean of SRCE-I for those who had a partner (Married, Living together) and for those who did not (Unmarried, Widowed, Divorced) was similar (M = 64.74 SD = 17.28 and M = 62.20 SD = 15.34, respectively) and no difference between the two groups was found (t = 0.94 df = 179 p = 0.349). Finally, the mean SRCE-I for those who were in Stage I and Stage II compared to those who were in Stage III or Stage IV at diagnosis was similar (M = 62.47 SD = 18.13 and M = 66.72 SD = 14.12, respectively) and no statistically significant difference was found (t = −1.34 df = 144 p = 0.183).

Multigroup invariance analysis for younger versus older participants

As a follow up to the finding that the SCRE-I was related to age, a multigroup CFA was used to test measurement invariance across two age groups (< 50 years old, n = 102 versus > 50 years old, n = 79). Five models were constructed in the multigroup CFA; a configural model (Model 1: a one-factor structure of SRCE-I), a metric invariance model (Model 2: a model that constrained all factor loadings to be equal between age groups), a scalar invariance model (Model 3: a model that constrained all factor loadings and item intercepts to be equal across age groups), a factor variance invariance model (Model 4: a model that constrained all factor loadings, all item intercepts and factor variance to be equal across age groups) and a factor mean invariance model (Model 5: a model that constrained all factor loadings, all item intercepts, factor variance and factor means to be equal across age groups). The five models were then mutually compared to assess measurement invariance: fit indices (i.e., Chi-square, CFI, RMSEA, and SRMR) of Model 1 were compared with those of Model 2 for metric invariance; fit indices of Model 2 were compared with those of Model 3 for scalar invariance; fit indices of Model 3 were compared with those of Model 4 for factor variance invariance; and fit indices of Model 4 were compared with those of Model 5 for factor mean invariance. Measurement invariance was supported when no significant Delta Chi-squares, Delta CFI >  − 0.01, Delta RMSEA < 0.015, and Delta SRMR < 0.01 occurred in the model comparisons [50] between the age groups.

The configural invariance model showed good fit indices (Chi-square = 104.94, df = 62, p = 0.001, CFI = 0.998, RMSEA = 0.088, SRMR = 0.050) and measurement invariance was supported by comparison between models up through Model 4 (factor variance invariance). In fact, only the comparison between Model 4 and Model 5 (factor mean invariance) showed significant differences in fit indices: Delta Chi-square = 173.77, df = 1, p < 0.001, Delta CFI = −0.01, Delta RMSEA = 0.07, Delta SRMR = 0.00). These results indicated the presence of the same factor structure of SRCE-I, with the same factor loadings, the same intercepts and the same factor variance, in both age groups. Only factor means were different in the two groups with a higher level in the younger age group (M = 67.06 vs M = 59.97) and this was expected based on the regression results.

Utility of the SRCE-I as a mediator

The loss of social support [5, 6] may be due, in part, to decrements in physical functioning that many times accompany cancer and its treatments. Based on prior research [25] that investigated SRCE as a mechanism that may mitigate social support losses, analyses were conducted as a test of SRCE-I as a mediator between Physical Functioning (EORTC-QLQ-30) and Global Health/Quality of Life (Fig. 1; EORTC QLQ-30), Social Functioning (Fig. 2; EORTC QLQ-30), and depression/anxiety (Fig. 3; HADS total score). Based on the significance of the indirect effects (Table 4), in these analyses, the SRCE-I was a significant mediator between the Physical Functioning scale of the EORTC QLQ-30 and the three dependent measures: Social Functioning (Indirect Effects Est. = 0.08, 95% CI: 0.018, 0.165); Global Health/Quality of Life (Indirect Effects Est. = 0.17, 95% CI: 0.081, 0.268); and HADS: Depression/Anxiety (Indirect Effects Est. = −0.09, 95% CI: −0.141, −0.043).

Fig. 1
figure 1

Mediation of the relationship between physical functioning (EORTC-QLQ-30) and Global Health Status: Quality of Life (EORTC-QLQ-30) by social relationship coping efficacy—Italian

Fig. 2
figure 2

Mediation of the relationship between physical functioning (EORTC-QLQ-30) and Social Functioning (EORTC-QLQ-30) by social relationship coping efficacy—Italian

Fig. 3
figure 3

Mediation of the relationship between physical functioning (EORTC-QLQ-30) and the Hospital Anxiety and Depression Scale (Total Score) by social relationship coping efficacy—Italian

Table 4 Direct, indirect, and total effects of the mediation model


These results support the conclusion that the SRCE-I is a reliable, unidimensional, and valid measure, which replicates findings from the original measure [25] and also a recent Greek translation and validation of the measure [31]. Taken together, data from these three studies indicate that the SRCE scale embodies a robust construct that has relevance in a variety of cultural settings. Furthermore, the mediation analyses with the SRCE-I replicated critical portions of the mediation models involving the original SRCE measure in that the SRCE-I mediated the relationship between physical functioning, a culprit in the attenuation of support in the context of cancer, and critical outcomes such as general quality of life, social functioning and emotional distress. These results support the utility of the SRCE-I as a mediating mechanism in this Italian sample of women with breast cancer.

With the limitation that these analyses were conducted with a cross-sectional dataset, the results do suggest that in a sequence of events starting with the physical limitations imposed by cancer and its treatments and ending with an outcome related to quality of life, social functioning and emotional well-being, SRCE may mitigate social losses and perhaps even enhance existing relationships. The mediation results also portend a role for SRCE in interventions in the lives of those who are at risk for social support loss or who have experienced distress due to the shrinking of the quantity or quality of their social network.

The cross-cultural replication of the psychometric findings as well as the mediation analyses may be accounted for by the theoretical basis for SRCE. That is, as opposed to restricting the person with cancer to the role of “support recipient”, SRCE, which is based on Self-regulation [30] and Self-efficacy Theories [28], promotes personal agency and activation [51]. Thus, persons with cancer may be thought of as agents in the construction, maintenance, or enhancement of their social environment. Thus, the core SRCE construct appears to be relevant in the diverse, albeit Western, cultural settings in which it has been tested thus far; however, the exact enactment of this process of maintaining or enhancing social support may vary to some extent even in those different cultural settings.

Along those lines, according to Optimal Matching Theory [24], social support is maximized when the need for support and the provision of support are aligned [22]. Alternatively, when need and provision of support are not aligned, social support may be not only not beneficial but harmful by perhaps promoting “sick role” behavior as opposed to promoting recovery [23]. Thus, SRCE may be a model for helping patients to understand the interpersonal dynamics of social support and advocate for their need for support as well as to be able to help others understand that mismatched support provision may not be helpful. That is, SRCE can be a platform for placing social support in the context of patients’ close interpersonal relationships and encouraging them to develop constructive conversations that support the alignment of need and provision.


Although the current study did replicate prior work on the social relationship coping efficacy scale [25, 31], the sample was limited to women who were receiving treatment for breast cancer in northern Italy. Therefore, the results are limited in generalizability and would need to be replicated on men and other-gendered cancer patients and in more diverse geographical locations in Italy and elsewhere. In addition, the mediation analyses were useful in illuminating the role of SRCE, however, those analyses were conducted on a cross-sectional sample, not in a longitudinal design, which would be more definitive because causal arguments can be forwarded regarding the relationships between variables.

Clinical implications

The psychometric data and mediation model-testing of the Italian version of the SRCE scale affirm that social support and close supportive relationships are linked to positive outcomes. Thus, as in the US and Greek versions of the SRCE scale, in this Italian sample of breast cancer patients, self-efficacy for maintaining and enhancing social relationships may be critical for mitigating loss of social support and promoting quality relationships that can help adaptation along the breast cancer care journey. Consequently, the SRCE-I can represent a screening instrument to identify those patients who are at risk for a reduction in the quantity or quality of social relationships and, thus also at risk for an increase in loneliness or social isolation. In line with that use, the SRCE-I can also function as the basis for developing specific psychosocial interventions aimed at improving social support for patients with cancer.

Availability of data and materials

The datasets generated and/or analyzed during the current study are not publicly available while the manuscript is under review, but are available from the corresponding author on reasonable request. The dataset and supplemental materials have been archived in CurateND (Link. 10.7274/2514nk3512z).


  1. Cao W, Qi X, Cai D, Han X. Modeling posttraumatic growth among cancer patients: the roles of social support, appraisals, and adaptive coping. Psychooncology. 2018;27(1):208–15.

    Article  PubMed  Google Scholar 

  2. Schroevers M, Helgeson V, Sandernnan R, Sanderman R, Ranchor A. Type of social support matters for prediction of posttraumatic growth among cancer survivors. Psychooncology. 2010;19(1):46–53.

    Article  PubMed  Google Scholar 

  3. Helgeson V. Social support and quality of life. Qual Life Res. 2003;12(Suppl 1):25–31.

    Article  PubMed  Google Scholar 

  4. Gonzalez-Saenz de Tejada M, Bilbao A, Baré M, Briones E, Sarasqueta C, Quintana JM, et al. Association of social support, functional status, and psychological variables with changes in health-related quality of life outcomes in patients with colorectal cancer. Psycho-Oncology. 2016;25(8):891–7.

  5. Usta YY. Importance of social support in cancer patients. Asian Pac J Cancer Prev. 2012;13(8):3569–72.

    Article  PubMed  Google Scholar 

  6. Nausheen B, Gidron Y, Peveler R, Moss MR. Social support and cancer progression: a systematic review. J Psychosom Res. 2009;67(5):403–15.

    Article  PubMed  Google Scholar 

  7. Smith TB, Workman C, Andrews C, Barton B, Cook M, Layton R, et al. Effects of psychosocial support interventions on survival in inpatient and outpatient healthcare settings: a meta-analysis of 106 randomized controlled trials. PLoS Med. 2021;18(5):e1003595.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Vila J. Social support and longevity: Meta-analysis-based evidence and psychobiological mechanisms. Front Psychol. 2021;12:717164.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Boberg EW, Gustafson DH, Hawkins RP, Offord KP, Koch C, Wen K, et al. Assessing the unmet information, support and care delivery needs of men with prostate cancer. Patient Educ Couns. 2003;49(3):233–42.

    Article  PubMed  Google Scholar 

  10. Kinsinger S, Laurenceau J, Carver C, Antoni M. Perceived partner support and psychosexual adjustment to breast cancer. Psychol Health. 2011;26(12):1571–88.

    Article  PubMed  Google Scholar 

  11. Northouse LL, Mood D, Templin T, Mellon S, George T. Couples’ patterns of adjustment to colon cancer. Social Science Medicine. 2000;50(2):271–84.

    Article  PubMed  Google Scholar 

  12. Soothill K, Morris S, Harman J, Francis B, Thomas C, McIllmurray M. The significant unmet needs of cancer patients: probing psychosocial concerns. Support Care Cancer. 2001;9(8):597–605.

    Article  PubMed  Google Scholar 

  13. Gelber S, Borstelmann N, Rosenberg S, Ruddy K, Tamimi R, Schapira L, et al. Partner support and anxiety in young women with breast cancer. Psychooncology. 2015;24(12):1679–85.

    Article  PubMed  Google Scholar 

  14. Sebri V, Mazzoni D, Triberti S, Pravettoni G. The Impact of unsupportive social support on the injured self in breast cancer patients. Front Psychol. 2021;12:722211.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Haviland J, Sodergren S, Calman L, Corner J, Din A, Fenlon D, et al. Social support following diagnosis and treatment for colorectal cancer and associations with health-related quality of life: results from the UK ColoREctal Wellbeing (CREW) cohort study. Psychooncology. 2017;26(12):2276–84.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Epplein M, Zheng Y, Zheng W, Chen Z, Gu K, Penson D, et al. Quality of life after breast cancer diagnosis and survival. J Clin Oncol. 2011;29(4):406–12.

    Article  PubMed  Google Scholar 

  17. Kroenke C, Quesenberry C, Kwan M, Sweeney C, Castillo A, Caan B. Social networks, social support, and burden in relationships, and mortality after breast cancer diagnosis in the Life After Breast Cancer Epidemiology (LACE) study. Breast Cancer Res Treat. 2013;137(1):261–71.

    Article  PubMed  Google Scholar 

  18. Scarapicchia TMF, Fong A, McDonough M, Wrosch C, Sabiston C. Changes in social support predict emotional well-being in breast cancer survivors. Psychooncology. 2017;26(5):664–71.

    Article  PubMed  Google Scholar 

  19. Kenen R, Ardern Jones A, Eeles R. “Social separation” among women under 40 years of age diagnosed with breast cancer and carrying a BRCA1 or BRCA2 mutation. J Genet Couns. 2006;15(3):149–62.

    Article  PubMed  Google Scholar 

  20. Kroenke C, Kwan M, Neugut A, Ergas I, Wright J, Caan B, et al. Social networks, social support mechanisms, and quality of life after breast cancer diagnosis. Breast Cancer Res Treat. 2013;139(2):515–27.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Manne S, Badr H. Intimacy and relationship processes in couples’ psychosocial adaptation to cancer. Cancer. 2008;112(11 Suppl):2541–55.

    Article  PubMed  Google Scholar 

  22. Merluzzi T, Philip E, Yang M, Heitzmann C. Matching of received social support with need for support in adjusting to cancer and cancer survivorship. Psychooncology. 2016;25(6):684–90.

    Article  PubMed  Google Scholar 

  23. Cheshire A, Ridge D, Clark LV, White PD. Sick of the sick role: Narratives of what “recovery” means to people with CFS/ME. Qual Health Res. 2021;31(2):298–308.

    Article  PubMed  Google Scholar 

  24. Cutrona C, Shaffer P, Wesner K, Gardner K. Optimally matching support and perceived spousal sensitivity. J Fam Psychol. 2007;21(4):754–8.

    Article  PubMed  Google Scholar 

  25. Merluzzi TV, Serpentini S, Philip EJ, Yang M, Salamanca-Balen N, Heitzmann Ruhf CA, et al. Social relationship coping efficacy: a new construct in understanding social support and close personal relationships in persons with cancer. Psychooncology. 2019;28(1):85–91.

    Article  PubMed  Google Scholar 

  26. Graffigna G, Barello S, Bonanomi A, Lozza E, Hibbard J. Measuring patient activation in Italy: translation, adaptation and validation of the Italian version of the patient activation measure 13 (PAM13-I). BMC Med Inform Decis Mak. 2015;15(108):109.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Costantini M, Morasso G, Montella M, Borgia P, Cecioni R, Beccaro M, et al. Diagnosis and prognosis disclosure among cancer patients: results from an Italian mortality follow-back survey. Ann Oncol. 2006;17(5):853–9.

    Article  PubMed  Google Scholar 

  28. Bandura A. Self-efficacy: the exercise of control. New York: Freeman; 1997.

    Google Scholar 

  29. Salsman JM, Schalet BD, Merluzzi TV, Park CL, Hahn EA, Snyder MA, et al. Calibration and initial validation of a general self-efficacy item bank and short form for the NIH PROMIS. Qual Life Res. 2019;28(9):2513–23.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Carver CS, Scheier M. On the self-regulation of behavior. New York: Cambridge University Press; 1998.

    Book  Google Scholar 

  31. Charos D, Merluzzi TV, Kolokotroni P, Lykeridou K, Deltsidou A, Vivilaki V. Breast cancer and social relationship coping efficacy: validation of the Greek version. Women Health. 2021;61(10):947–56.

    Article  PubMed  Google Scholar 

  32. Hou WK, Lam WWT, Law CC, Fu YT, Fielding R. Measuring social relational quality in colorectal cancer: the Social Relational Quality Scale (SRQS). Psychooncology. 2009;18(10):1097–105.

    Article  PubMed  Google Scholar 

  33. Luo B, Qin H, Zheng M. Correlation between social relational quality and hope among patients with permanent colostomies. Int J Nurs Sci. 2014;1(4):405–9.

    Google Scholar 

  34. Zhang T, Shi C, Hu A, Xu H, Zheng M, Liang M. Correlation between acceptance of disability and social relational quality in patients with colostomy. Int J Nurs Sci. 2014;1(1):102–6.

    Google Scholar 

  35. Fletcher GJO, Simpson JA, Thomas G. The measurement of perceived relationship quality components: a confirmatory factor analytic approach. Pers Soc Psychol Bull. 2000;26(3):340–54.

    Article  Google Scholar 

  36. Dewolf, L., Koller, M., Velikova, G., Johnson, C., Scott, N., Bottomley, A. EORTC Quality of Life Group. . 3rd ed. Brussels, Belgium: EORTC Quality of Life Group; 2009.

  37. Zigmond AS, Snaith RP. The Hospital anxiety and depression scale. Acta Psychiatr Scand. 1983;67:361–70.

    Article  PubMed  Google Scholar 

  38. Bjelland I, Dahl AA, Haug TT, Neckelmann D. The validity of the Hospital Anxiety and Depression Scale: an updated literature review. J Psychosom Res. 2002;52(2):69–77.

    Article  PubMed  Google Scholar 

  39. Herrmann C. International experiences with the Hospital Anxiety and Depression Scale: a review of validation data and clinical results. J Psychosom Res. 1997;42(1):17–41.

    Article  PubMed  Google Scholar 

  40. Serpentini S, Del Bianco P, Chirico A, Merluzzi TV, Martino R, Lucidi F, et al. Self-efficacy for coping: utility of the Cancer behavior inventory (Italian) for use in palliative care. BMC Palliat Care. 2019;18(1):34.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Heitzmann CA, Merluzzi TV, Jean-Pierre P, Roscoe JA, Kirsh KL, Passik SD. Assessing self-efficacy for coping with cancer: development and psychometric analysis of the brief version of the Cancer Behavior Inventory (CBI-B). Psychooncology. 2011;20(3):302–12.

    Article  PubMed  Google Scholar 

  42. Aaronson NK, Ahmedzai S, Bergman B, Bullinger M, Cull A, Duez NJ, et al. The European organization for research and treatment of cancer QLQ-C30: a quality-of-life instrument for Use in international clinical trials in oncology. JNCI : J Natl Cancer Inst. 1993;85(5):365–76.

    Article  PubMed  Google Scholar 

  43. Grassi L, Buda P, Cavana L, Annunziata MA, Torta R, Varetto A. Styles of coping with cancer: the Italian version of the Mini-Mental Adjustment to Cancer (Mini-MAC) scale. Psychooncology. 2005;14(2):115–24.

    Article  PubMed  Google Scholar 

  44. Sorensen JB, Klee M, Palshof T, Hansen HH. Performance status assessment in cancer patients: an inter-observer variability study. Br J Cancer. 1993;67(4):773–5.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Apolone G, Filiberti A, Cifani S, Ruggiata R, Mosconi P. Evaluation of the EORTC QLQ-C30 questionnaire: a comparison with SF-36 Health Survey in a cohort of Italian long-survival cancer patients. Ann Oncol. 1998;9(5):549–57.

    Article  PubMed  Google Scholar 

  46. Marzorati C, Monzani D, Mazzocco K, Pavan F, Monturano M, Pravettoni G. Dimensionality and measurement invariance of the Italian version of the EORTC QLQ-C30 in postoperative lung cancer patients. Front Psychol. 2019;10:2147.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Sprangers MA, Groenvold M, Arraras JI, Franklin J, te Velde A, Muller M, et al. The European Organization for Research and Treatment of Cancer breast cancer-specific quality-of-life questionnaire module: first results from a three-country field study. J Clin Oncol. 1996;14(10):2756–68.

    Article  PubMed  Google Scholar 

  48. Rosseel Y. lavaan : An R package for structural equation modeling. J Stat Softw. 2012;48(2).

  49. Hayes AF. Introduction to mediation, moderation, and conditional process analysis. 2nd ed. New York: Guilford Publications; 2017.

    Google Scholar 

  50. Chen FF. Sensitivity of goodness of fit indexes to lack of measurement invariance. Struct Equ Model. 2007;14(3):464–504.

    Article  Google Scholar 

  51. Hibbard JH, Mahoney E, Sonet E. Does patient activation level affect the cancer patient journey? Patient Educ Couns. 2017;100(7):1276–9.

    Article  PubMed  Google Scholar 

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The authors would like to thank the patients who volunteered to participate in this study as well as the administration and staff of the Veneto Institute of Oncology (IOV), Department of Philosophy, Sociology, Pedagogy and Applied Psychology (University of Padova), Sacro Cuore Hospital- Don Calabria-IRCCS and the Department of Psychology (University of Notre Dame).


There was no external funding for this project.

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Authors and Affiliations



Conception: SSerp, TVM, AC. Design: SSerp, TVM, AC. Acquisition (enrolling participants): GS, GD, GC, CB, GD, SSom, LI. Analyses: LR, TVM, SSerp, VC, GS. Interpretation: SSerp, TVM, VC, LR, GS, AC. Writing drafts and revisions: SSerp, TVM, LR, VC, GS, GC, CB. All authors read and approved the final manuscript.

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Correspondence to Samantha Serpentini.

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The study was approved by the IOV – IRCCS Research Ethics Committee. All procedures were in accordance with the 1964 Helsinki declaration and its later amendments, and all participants provided informed consent.

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All authors report no competing interests in the conduct of this research.

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Supplementary Information

Additional file 1:

 Regression analyses and English version of the Social Relationship Coping Efficacy Scale.

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Serpentini, S., Silvestri, G., Catarinella, A. et al. Assessment of socio-relational self-efficacy in breast cancer patients: Italian validation of the social relationship coping efficacy scale (SRCE-I). BMC Psychol 10, 248 (2022).

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