Skip to main content

ORIGINAL RESEARCH article

Front. Psychol., 17 April 2024
Sec. Psycho-Oncology

A study of the mediating effect of social support on self-disclosure and demoralization in Chinese older adult homebound breast cancer patients

Meifeng LiuMeifeng Liu1Fawei QinFawei Qin2Deyu Wang
Deyu Wang1*
  • 1Department of Gastrointestinal Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
  • 2Department of Oncology Minimally Invasive Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China

Purpose: Demoralization is common in older adult homebound breast cancer patients, seriously affecting their quality of life. This study aimed to investigate the demoralization of older adult homebound breast cancer patients and to analyse the mediating effects of social support between self-disclosure and demoralization.

Methods: The study enrolled 368 older adult homebound breast cancer patients reviewed in outpatient clinics of three hospitals from January 2022 to August 2023. A questionnaire survey was conducted using the general information questionnaire, the distress disclosure index (DDI), the social support revalued scale (SSRS), and the demoralization scale (DS). Path analysis was conducted to test the hypothesised serial mediation model.

Results: The total scores of self-disclosure, social support, and demoralization were 37 (25–42), 34 (19–48.75), and 46.5 (35–68), respectively. The results indicated a positive correlation between self-disclosure and social support (p < 0.01). In contrast, a statistically significant negative correlation was observed between self-disclosure, social support, and various demoralization dimensions (p < 0.01). Social support played a partial mediation effects between self-disclosure and demoralization, indirect effect =0.6362, SE = −0.591, 95% CI (−0.785 ~ −0.415); Self-disclosure direct effect demoralization, direct effect =0.3638, SE = −0.337, 95% CI (−0.525 ~ −0.144); total effect, SE = −0.929, 95% CI (−0.945 ~ −0.904).

Discussion: Social support a partial mediated between self-disclosure and demoralization in Chinese older adult homebound breast cancer patients. Clinical staff should focus on developing a social support system for Chinese older adult homebound breast cancer patients, encouraging patients to reveal their minds, and providing psychological counselling to enhance self-confidence and rebirth from adversity.

Background

Breast cancer has become the most common cancer type worldwide (Sung et al., 2021). According to the latest Cancer Statistics Report of 2021, it seriously threatens the lives and health of the global female population (Siegel et al., 2021). Worldwide statistics highlight that approximately 40% of breast cancer cases occur in patients aged 65 years and above, with expectations that this will increase as the population gets older (Aladwani et al., 2023). Breast cancer is treated with surgical excision, radiation therapy, and chemotherapy. Rehabilitation of breast cancer is not a short-term process, but it requires long-term persistence, and it will cause different degrees of disturbance to the life and work of patients in the treatment and rehabilitation process. Approximately 50% of breast cancer patients suffer from psycho-psychological problems (Wells et al., 2022). In China, older adults who have entered the recovery phase of an illness are subjected to complete the subsequent rehabilitation process at home. The process of diagnosis, treatment, and rehabilitation of older adult breast cancer patients relies mainly on supportive family care and financial support (Tang et al., 2024). Most older adults have fewer financial resources and cannot fully afford all medical expenses; their physical endurance has significantly decreased due to their increasing age and suffering from cancer. As a result, they cannot complete the cancer treatment process independently. All of the above reasons may lead to poor treatment adherence in Chinese older adult breast cancer patients compared with young and middle-aged breast cancer patients (Zhou et al., 2024). This can lead to a poor physical prognosis for older adults and can also have a serious impact on the psychological and mental health of older adults (Lin et al., 2023).

Emotion regulation has been defined as “the processes by which individuals influence which emotions they have, when they have them, and how they experience and express these emotions” (Gross, 2015). Emotion regulation, the experience, processing, and modulation of emotional responses are necessary to manage the emotional stressors common in cancer patients (de Ridder et al., 2008). Optimizing emotion regulation promotes adaptation in the presence of aversive stressors (Gratz, 2004). The inability to effectively manage emotions triggered by a health event can diminish self-care activities and impact mental and physical health (Appleton et al., 2013). Demoralization is a syndrome in which the patient feels helpless and hopeless, has impaired self-esteem, and has a loss of purpose in life when facing chronic stress (Ting-Gang Chang et al., 2022), seriously affecting their quality of life and even leading to the idea of lightening their life (Tang et al., 2015; Zheng et al., 2022). Emotion regulation theory (Cisler et al., 2010) suggests that emotion can be regulated during self-representation through a series of strategies. Self-disclosure character, willingness, and ambivalence may all influence the psychological adjustment level of the individual (Li et al., 2017a; Perndorfer et al., 2019). Self-disclosure—an important way of maintaining mental health and an important avenue of psychotherapy—enables individuals to regain confidence and self-esteem through the disclosure of thoughts and feelings about traumatic events (Tsumura et al., 2023). A qualitative study of breast cancer peer support suggested that the ability to appropriately share a peer’s own experience of breast cancer was perceived as an important component of effective helping (Truong et al., 2019). With the arrival of the aging population, one of the problems resulting from the increase in the number of single-person households and older couple households is the decrease in opportunities for conversation within the household. A survey shown that: only about 65% of older people living alone engage in conversation every day, which was clearly lower than the more than 90% of older couple households and households with children living together (Igarashi et al., 2022). The survey of Truong et al. shown that peer self-disclosure can provide relief for older adults with depression. They suggested training and supervision in appropriate self-disclosure should be provided to peers to ensure purposive use (Truong et al., 2019).

The good venting of bad emotions requires spiritual support from family, units, and society. The supportive care theory (Philip et al., 2018; Krishnasamy et al., 2023) states that the supportive care needs of cancer patients may include physical, informational, emotional, social interaction, and psychological aspects. It emphasizes that patients should be provided with continuity of care appropriate to their needs. Social support, as an external resource, improves psychological resilience in cancer patients and serves as a protective factor for demoralization syndrome (Vehling et al., 2013), and the mechanism of its influence may be linked to supportive care theory. The proportion of the world’s population over 60 will nearly double from 12 to 22% between 2015 and 2050 (Bai et al., 2020). In the contemporary times when population aging becomes a pressing global concern, social support is more meaningful for older adults. Based on assessing a large amount of research, it is shown that supportive relationships protect us from a multitude of mental health problems, but also that the absence of supportive relationships increases the risk of dying from various diseases (Bai et al., 2020; Firouzbakht et al., 2020). The concern of family members and the comfort and support of friends and coworkers can help enhance the social belonging sense of the patient (Ji et al., 2019; Mo et al., 2022). Wu and Lu (2017) 19 used data from the 2011–2012 China Health and Retirement Longitudinal Study (CHARLS) to discuss the impact of children’s informal care on the health behaviors of elderly people with chronic diseases through the propensity score matching method and found that children’s informal care can improve the health behaviors of the elderly and thus improve elderly health. Tang et al. surveyed 449 participants over the age of 60. Multiple regression was used to explore moderating effects of formal social support (FSS) and found that accompanied support, and number of intimate contacts had significantly positive effects on older health (Tang et al., 2022).

Self-disclosure can help individuals rebuild positive social sharing beliefs (Tajvar et al., 2018; Levi-Belz and Hamdan, 2023). Social support influences the self-disclosure of individuals (Bu et al., 2023; Ricciardi et al., 2023); adequate social support helps individuals maintain a favorable emotional experience and increase self-confidence. Although a certain correlation may exist between self-disclosure, social support, and demoralization, the relationship and mechanism of action of the three variables have not been reported before. This study combines emotion regulation theory with an in-depth study from the perspective of supportive care theory. We hypothesized that social support may mediate the relationship between self-disclosure and demoralization in Chinese older adult homebound breast cancer patients. This study investigates the relationship between self-disclosure, social support, and demoralization in older adult homebound breast cancer patients. The study hypothesized that social support might mediate between self-disclosure and demoralization in Chinese older adult homebound breast cancer patients and then inform the targeted nursing measure development to reduce demoralization in this group.

Research design and methods

Participants and procedures

The study subjects were 368 Chinese older adult homebound breast cancer patients (all study subjects were female) reviewed in the outpatient clinics of three hospitals: Shandong Provincial Hospital, Affiliated with Shandong First Medical University, Shenzhen People’s Hospital, and First People’s Hospital of Changzhou. A cross-sectional survey with simple sampling was conducted from January 2022 to August 2023 to increase the sample size and improve sample representativeness.

The inclusion criteria were as follows: (1) pathological diagnosis of breast cancer (stages 0, I, II, III, and IV); (2) at least 2 months of home rehabilitation; (3) age ≥ 60 years old; (4) subjects who obtained informed consent; (5) subjects with clear thinking, normal cognition, and unimpaired verbal expression; (6) awareness of their condition. The exclusion criteria were as follows: (1) combined with other malignant tumors or recurrence of breast cancer; (2) combined with myocardial infarction, heart failure, and other serious diseases; (3) other reasons affecting the implementation of the survey.

The researcher facilitated a pre-survey of 30 older adult homebound breast cancer patients in January 2022 and calculated the standard deviation of demoralization to be 17.26 points. This was a cross-sectional study, and the sample size required was estimated using the sample size formula for cross-sectional studies, N = (u1-α/2 σ/δ)2 (Hu et al., 2011), setting α = 0.05, u1-α/2 = 1.96, δ = 2, σ = 17.26,and N = 286. The minimum sample size was finally determined to be 343, combined with the fact that AMOS analysis generally requires more than 200 copies, and the expected dropout rate was set to 20%. 382 people participated in the questionnaire survey, and after questionnaire verification, 14 questionnaires were excluded, and the effective recovery rate of the questionnaires was 96.34%. A total of 368 patients were included in this study.

Measures

Sociodemographic and medical variables

Basic information, such as gender, age, marital status, educational level, monthly household income, and religious beliefs, was self-reported. Disease staging, pathological classification, and treatment plans were extracted from medical records.

Distress disclosure index (DDI)

The DDI was used (Zhen et al., 2018), which consisted of 12 items and was scored by the Likert 5-level scoring method, with a total score of 12–60 points. The higher the DDI score, the higher the self-disclosure level. Typically, 12–29 points were low self-disclosure, 30–44 points were medium self-disclosure, and 45–60 points were high self-disclosure. The total Cronbach’s coefficient of the revised scale was 0.723 (Xu et al., 2024).

Social support revalued scale (SSRS)

The SSRS (Zhang et al., 2023) contains a total of 10 items and consists of three dimensions: subjective support, objective support, and social support utilization. This scale has a full score of 66 points, with higher scores indicating a higher level of social support received, and social support is categorized into 3 levels: ≤22 points were low social support, 23–44 points were medium social support, 45–66 points were high social support (McNamara et al., 2021). The total Cronbach’s alpha coefficient was 0.920, which is widely used in China (Wang et al., 2024).

Demoralization scale (DS)

DS was developed and compiled by Kissane et al. (2004) for cancer patients, and used to assess the status of demoralization in cancer patients in the past 2 weeks. It consists of 24 items in five dimensions: dysphoria (5 items), loss of meaning (5 items), helplessness (5 items), disheartenment (4 items), and sense of failure (5 items). Each item was rated on a 5-point Likert scale from 0 to 4, ranging from “Strongly Disagree” to “Strongly Agree,” and the total score ranged from 0 to 96. The cutoff was 30 points, and > 30 points was considered significant demoralization. The total Cronbach’s alpha coefficient was 0.740 (Battaglia et al., 2020).

Data collection and analysis

This cross-sectional study was approved by the ethics committee of our hospital. Before the study, researchers were trained and assessed in a unified manner and were required to use unified guidelines in the survey process. This study was conducted using questionnaires in the form of stars. The researcher prepared the questionnaire through the Questionnaire Star program, formed a QR code for the Microsoft questionnaire, printed out a paper version, and posted it in the breast clinic to collect information. The questionnaire was completed during subsequent visits and was anonymous and voluntary. The first part of the questionnaire described the study’s purpose, and informed consent was obtained from all patients. The second part was the questionnaire body, which included DDI, SSRS, and DS. The survey was completed anonymously online, only once in Microsoft. The survey respondents completed the questionnaire independently. The research team members were responsible for reading and explaining the relevant items individually and guiding the patients to complete the questionnaire when encountering patients with reading and comprehension difficulties. The questionnaire was submitted after completion to ensure authenticity, collected, numbered, and double-checked. The exclusion criteria were as follows: questionnaires containing omissions and incompleteness, single answers, and contradicting content.

AMOS 23.0 and SPSS23.0 statistical software were used for data processing. Descriptive data are presented as mean ± SD for normally distributed variables and Md (P25, P75) for non-normally distributed variables. The enumeration data are expressed by the frequency and constituent ratios. In this study, social support, self-disclosure, and demoralization scores were non-normally distributed; therefore, the demographic characteristic scores were expressed by Md (P25, P75), conducting a correlation analysis using Spearman rank correlation analysis. In order to investigate whether SSRS has an impact as an independent predictor or a moderator on DS, a hierarchical multivariate regression analysis was performed. A value of p < 0.05 was considered statistically significant. Amos 23.0 was used to construct the structural equation model, the bootstrap was used to evaluate the direct and indirect effects, and the effects of each path were tested. All tests were two-sided, and a p-value of less than 0.05 was considered significant. Structural equation modeling was used to analyze the mediating mechanisms of social support, self-disclosure, and demoralization. Bootstrap was used to test the significance of the mediating effect; a mediating effect was considered significant if the 95% bias-corrected confidence interval for the indirect effect size did not contain zero. The fit of the hypothesized model to the observed data was determined based on the fit index. If the model fit was poor, the correlation between the error terms was added according to the modification indices (MI) (MacCallum et al., 1992), and the model was modified to improve the fit between the model and data.

Results

General information about patients

Table 1 showed that the age of the 368 participants was mainly 60–70 years old (73.10%). The education was elementary school and below (62.22%), and only 55 had a high school degree or above (14.95%). Among the religious beliefs, 84.78% had no religious beliefs, and 8.69% believed in Buddhism and Christian. Among the marital status, 73.10% were married. A total of 285 patients (77.44%) had medical insurance. The number of patients with stage II was 187 (50.81%). The monthly household income of 54.9% of patients was 5,000–10,000 RMB. Among 368 cases of breast cancer, 318 (96.6%) were invasive. Surgery were performed in 185 patients (50.27%), and chemotherapy were performed in 112 (30.43%).

Table 1
www.frontiersin.org

Table 1. Demographic and clinical characteristics of participants.

The scores and correlation analysis of self-disclosure, social support, and demoralization

The total DDI score was 37 (25–42), and the total SSRS score was 34 (19–48.75). The three dimensions were as follows: subjective support with 17 (12–28.75), objective support with 9 (5–12), and social support utilisation with 8 (4–10). The total DS score was 46.5 (35–68). The five dimensions were as follows: dysphoria with 9 (7–13), loss of meaning with 9 (7–14), helplessness with 9 (5–13), disheartenment with 10 (7–13), and sense of failure with 9 (6–13.75) (Table 2). Table 3 presented the correlation coefficients among self-disclosure, social support, and demoralization. The total scores of social support, self-disclosure, and demoralization of patients were significantly correlated (p < 0.01). Self-disclosure was positively correlated to social support (r = 0.870–0.889, p < 0.01), while self-disclosure and social support was negatively correlated to demoralization (r = −0.917–0.790, p < 0.01; Table 3).

Table 2
www.frontiersin.org

Table 2. Scores of DDI, SSRS, DS.

Table 3
www.frontiersin.org

Table 3. Bivariate correlations of study variable.

Structural equation model of self-disclosure, social support, and demoralization

The results of hierarchical multiple regression analysis are presented in Table 4. In the first step, age, education, medical insurance, monthly household income, marital, religion, stage of breast cancer, pathological classification and treatment plan were added into the model. In the second step, DDI were added as regressors. In the third step, SSRS were added as regressors. Model 1 accounted for 3.0% of the variance in DS, in which the main effects of education (β = 0.111, p < 0.05) and medical insurance (β = −0.112, p < 0.05) were significant in predicting the severity of DS. In model 2, the main effects of monthly household income (β = −0.052, p < 0.01), marital (β = −0.042, p < 0.05), religion (β = 0.057, p < 0.01), and DDI (β = −0.938, p < 0.001), were significant, which accounted for the additional 84.7% of variance in DS. In model 3, the main effects of monthly household income (β = −0.036, p < 0.01), DDI (β = −0.429, p < 0.001), SSRS (β = −0.558, p < 0.001) were significant, which accounted for the additional 5.3% of the variance in DS. Meanwhile, when DDI entered the model, the standardized regression coefficient of DDI increase from −0.938 to −0.429 (Table 4). The possibility that SSRS influences the relationship between DDI and DS may be the main reason for this result.

Table 4
www.frontiersin.org

Table 4. Hierarchical multiple regression with DS as the dependent variable (n = 368).

Through several literature and correlation analysis results, we hypothesised that self-disclosure and social support could, directly and indirectly, affect demoralization, respectively. The maximum likelihood method was used to fit the model structure, and the model was corrected according to the correction index. Model fit was assessed using various fit indices, including the chi-square (χ2) test of model fit, root mean square error of approximation (RMSEA), comparative fit index (CFI), goodness of fit (GFI), normed fit index (NFI) and Tucker-Lewis index (TLI). Indices were assessed using the following guidelines: 1 < χ2 /df < 3; RMSEA <0.08; GFI, CFI, NFI and TLI > 0.90 (Bu et al., 2023). The model fitting results were that χ2/df = 2.480, GFI = 0.972, RMSEA = 0.064, NFI = 0.992, CFI = 0.995, and TLI = 0.991, indicating that the fitting degree of the model was good (6) (Table 5). Figure 1 showed that social support can indirectly affect demoralization through self-disclosure. Table 6 summarised the path coefficients among the variables in detail. The mediating effect analysis showed that social support played a partial mediated the role in the self-disclosure and demoralization of older adult homebound breast cancer patients, with a mediating effect value, accounting for 63.62% of the total effect. Social support played a partial mediation effects between self-disclosure and demoralization, indirect effect =0.6362, SE = −0.591, 95% CI (−0.785 ~ −0.415); Self-disclosure direct effect demoralization, direct effect =0.3638, SE = −0.337, 95% CI (−0.525 ~ −0.144); total effect, SE = −0.929, 95% CI (−0.945 ~ −0.904).

Table 5
www.frontiersin.org

Table 5. Model fitting index.

Figure 1
www.frontiersin.org

Figure 1. The map of the mediating effect. y1, subjective support; y2, objective support; y3, social support utilization; y4, dysphoria; y5, loss of meaning; y6, helplessness; y7, disheartenment;y8, sense of failure.**p < 0.01.

Table 6
www.frontiersin.org

Table 6. Mediating effect test results.

Discussion

The status of demoralization, self-disclosure and social support in Chinese older adult homebound breast cancer patients

Herein, the older adult homebound breast cancer patients had high demoralization scores, with a median score of 46.5, higher than the breast cancer patient scores studied by Hao et al. (2023) (43.29 ± 10.29) and Chang et al. (2022) (25.12 ± 14.89). This may be linked to the lower literacy level and age experience of older adult homebound breast cancer patients (Henry et al., 2023). Older adults are generally less educated than young and middle-aged adults. Individuals with higher education are generally more inclined to seek effective information resources and higher levels of disease-related health literacy when facing major diseases (Gao et al., 2023). However, she may have insufficient knowledge about disease prognosis and regression when an individual has a low education level and inadequate awareness to seek other resources and help actively (Liu et al., 2023). Consequently, they will be supported to a lesser extent, become more likely to lose the purpose and meaning of life, and experience a sense of meaninglessness, frustration, powerlessness, and increasing demoralization risk. The less-educated elderly population, who generally have lower incomes, cannot afford the high treatment cost, becoming more likely to experience higher demoralization levels. Conversely, their ability to take care of themselves has seriously declined with age, and usually, they are widowed, or their partners are suffering from illnesses; consequently, there is a relative lack of social support in caring for patients at home. These aspects substantially cause a serious psychological burden to patients, who feel that they are a burden to others and are very prone to emotional instability and a sense of failure, losing their confidence in treatment and life (Li et al., 2017b; Zhuang et al., 2022).

The median self--disclosure score of the older adult homebound breast cancer patients in this study was 37 (moderate level), lower than that of Zhu et al. (2023) (40.41 ± 7.34) for resident breast cancer patients. There are several reasons for the low self-disclosure scores of older adult homebound breast cancer patients. First, for age-related reasons, Zhu et al. (2023) found that the study population was 25–49 years old, which belonged to the middle-aged and young stage, whereas the study population was older adults aged over 60 years. The difference in age between the two groups may also be an important factor influencing the lower self-disclosure level of older adults with breast cancer in this study. Older adults are unwilling to accept that they need care because of their gradual loss of labor capacity, reduced self-care ability, and decreased economic income, but their self-esteem is still very strong, and they do not express their difficulties too much (Du et al., 2021). Second, due to cultural background-related reasons, Asian women are reserved and introverted, and when a female-related disease occurs, they are too shy to express it from their perspective, or they are worried that it will lead to discrimination by people around them; accordingly, they will suppress their misery. Third, due to disease response-related reasons, this may be correlated with mastectomy, radiotherapy, chemotherapy, and fear of cancer. Considering the damage to their image, patients will hide their inner thoughts of low self-esteem and worry, which is more likely to prevent venting of emotions and often result in a disorder of self-expression (Yang et al., 2022). Clinical staff should develop targeted measures in clinical treatment to increase levels of self-disclosure and help patients gradually return to daily life by seeking support from traumatic events.

In this study, the median social support score of older adult homebound breast cancer patients was 34 (moderate), lower than previously reported survey points (39.35 ± 9.51) (Jadidi and Ameri, 2022). This may be related to the fact that hospitalization and home care for breast cancer patients require more support and companionship from family members. In China, older adults mainly rely on the support and care of their children and spouses during illness. Under the current social environment of tight employment and great work pressure, Chinese older adults usually rely on their spouses to care for them (Liao et al., 2023); however, their spouses are usually not in good health. Consequently, the above reasons may contribute to the low social support for Chinese older adult breast cancer patients who are homebound. In clinical nursing, medical staff should strengthen the health education of older adult homebound breast cancer patients and their families, encourage family members to care more about the patients, and encourage patients to actively participate in social activities to strengthen their sense of social belonging.

In fact, under the new normal of COVID-19, China is committed to promoting the improvement of public health policies. Regular healthcare workers’ rural visit programs promote health consultation services for rural patients in the convalescence period and psychological disorder patients in the convalescence period. The development of mental health counseling services will largely alleviate the psychological pressure on older adult patients with homebound breast cancer. It is hoped that older adult homebound breast cancer patients can have healthy minds in the near future.

Relationship between self-disclosure, social support, and demoralization

This study showed that social support of older adult homebound breast cancer patients was negatively correlated with demoralization, which was in general agreement with Kang et al. (2023), who concluded that social support of cancer patients was a risk factor for demoralization, and its change trend was the opposite to that of demoralization. Hong et al. (2022) reports social support (mean rs: −0.330) was negatively related to demoralization. Demoralization is a consequence of the interaction of physical, psychological, and social factors among cancer patients. They suggested factors such as social support with a significant effect should not be overlooked when designing an intervention to reduce demoralization. Chan et al. (2022) also provides an implication that those who have the least family support could be the most vulnerable group at risk of demoralization.

Thompson et al. (2013) conducted a two-year study on breast cancer patients and found that psychological problems increased as social support declined. Decreased social support can predict psychological problems in patients; the more emotional and informational support a patient has when facing various stresses, the less shock they experience. Medical social support acts as a good buffer and protects against demoralization. Social support of older adult homebound breast cancer patients was positively correlated with self-disclosure. This indicates that the more social support patients receive, the higher the self-disclosure level, which is consistent with Bu et al. (2023). Social support is crucial in sustaining treatment and promoting recovery (Li et al., 2017b). Emotional support provided by family and friends and information support provided by medical staff can help patients reveal their feelings and reduce their stress (Hancox et al., 2023; Orzechowska et al., 2023).

Our study displayed that self-disclosure in older adult homebound breast cancer patients was negatively correlated with demoralization, indicating that the lower the self-disclosure level, the lower the mood and the higher the demoralization level of the patient. When individuals, especially older adult homebound breast cancer patients, face unsolved difficulties, such as cancer horror, they may fear the character of “cancer.” They tend not to mention cancer when communicating with the outside world, cannot vent their negative emotions (Scandurra et al., 2022), and cannot adapt to new situations, increasing the demoralization level.

The mediating effect of social support between self-disclosure and demoralization

Considering the analysis of hierarchical multiple regression, model 1 shown that the main effects of low education level and bad insurance were significant in predicting the severity of demoralization, which was consistent with the previous studies (Okado et al., 2014; Chang et al., 2022). The education level and medical insurance are usually related, people with low education level generally usually have not excellent medical insurance methods. Currently, there was no sufficient evidence showing that lower education led to more demoralization, and we speculated that it may be also related to self-disclosure. But more researches are needed. With lack of knowledge, lack of awareness of acquiring disease-related knowledge, fear of breast cancer, they were understandable that people may beyond expression, leading to more severe demoralization. Add DDI to model 2, Model 2 shown that the main effects of low monthly household income, unmarried or divorce, no religion, low DDI were significant in predicting the severity of demoralization. Some previous studies shown that low economic level and unmarried or divorce would affect the individual’s mental state, to some extent. She was very likely to lose the direction and guidance of life when he undergoes serious changes (Mohr and Huguelet, 2004; Nanni et al., 2018; Erdogan and Aydinoglu, 2023) when an individual has no religious belief. The effects of DDI was significant among those four. The results were in accord with the status quo of the corresponding demoralization, suggesting the important influence of self-disclosure on demoralization symptoms (Rusch et al., 2014). Research had shown self-disclosure with mental illness or anxious was associated with decreased negative effects of mental illness on quality of life (Corrigan and Rao, 2012). Add SSRS to model 3, Model 3 shown that the main effects of low monthly household income, low DDI, low SSRS were significant in predicting the severity of demoralization. The effects of DDI and SSRS were more significant among those three variable. It shown that the positive effect of social support will promote the release of mental stress, then alleviate symptom of demoralization, which was consistent with the previous studies (Vehling et al., 2013; Lo et al., 2023).

Our results indicated that social support completely mediated the relationship between self-disclosure and demoralization in older adult homebound breast cancer patients and that social support both directly and negatively predicted demoralization and indirectly and negatively influenced demoralization through self-disclosure. Older adult homebound breast cancer patients always worry that their lives and health are threatened, which adversely affects their quality of life and ability to plan their lives. Once there is a lack of listening, encouragement, and support from family, friends, and medical staff, the negative emotions of the individual will be unable to vent. In the long run, it can lead to anxiety and depressive conditions, demoralization (de Figueiredo et al., 2023), and even suicide (Fang et al., 2014). Conversely, with adequate social support, self-disclosure increases, and patients can express their emotions more positively to family, friends, and medical personnel. In this way, they can rationally utilize the resources around them to help them overcome difficulties, adapt quickly to their environment, and are less likely to experience demoralization. Consequently, healthcare professionals should provide a series of medical-social support for older adult homebound breast cancer patients to reduce demoralization and mobilize the supportive power of relatives and friends of the patients. Discharge continuation care can be conducted, such as follow-up visits to the homes of patients, applying for a breast cancer public number, and regularly uploading videos of postoperative functional exercises and precautions for radiotherapy and chemotherapy through the public number. This can help patients comfortably solve the difficulties of disease treatment and reduce the problem of psychological maladaptation.

Study limitations

This study had some limitations. First, a cross-sectional design was applied to the present study, so these findings could not be used to construct formal causality or to identify the direction of causality between self-disclosure and demoralization. They need to be validated via longitudinal research to explore the trajectory of demoralization in patients at different times. Second, although this study collected data from three large general hospitals, simple sampling was used, requiring sample representativeness to be improved. We will try to improve the sample representativeness using random sampling methods and continue to increase the number of hospitals included in the study to expand the sample size. Third, psychological variables were mainly evaluated using self-report instruments, which might be subject to recall and response biases. Our study tried to minimize bias using self-disclosure, social support, and demoralization, which have been well-validated for application among subjects in China. Finally, our study focused only on the association between self-disclosure, social support, and demoralization. Further investigation is needed to explore other social psychology and emotional predictors for the level of demoralization in older adult homebound breast cancer patients, such as self-efficacy, psychological resilience, and family environment factors. Simultaneously, it is recommended to construct an intervention program for loss of ambition syndrome centered on self-expression and social support and conduct clinical empirical research to verify the mechanism of action among the three and improve the quality of clinical care.

Conclusion

In summary, our findings suggest that the demoralization of Chinese older adult homebound breast cancer patients was generally at a higher level among the hospitals represented in the current study sample. Social support partially mediated the relationship between self-disclosure and demoralization in older adult homebound breast cancer patients, which was the first attempt to perform the relationship between psycho-social mediating resources and demoralization among Chinese older adult homebound breast cancer patients in our limited knowledge. This study found that social support can directly and negatively predict self-disclosure in older adult homebound breast cancer patients. Additionally, it indirectly and negatively affects demoralization through self-disclosure. Healthcare professionals should encourage patients to communicate with their family members and friends more often to increase their social support. Healthcare workers should help older adult homebound breast cancer patients express their bad moods and increase opportunities for self-disclosure actively while communicating and interacting with patients to provide them with disease-related professional information. The demoralization level of the patients was diminished by enhancing social support, raising the self-disclosure level. Ultimately, it promotes both physical and psychological recovery in older adult patients with homebound breast cancer.

Data availability statement

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.

Ethics statement

The study was approved by the ethics committee of Shandong Provincial Hospital Affiliated to Shandong First Medical University (Approval No: SWYX: NO.2022-011). The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.

Author contributions

ML: Writing – original draft, Methodology, Formal analysis, Data curation, Conceptualization. FQ: Project administration, Writing – original draft, Formal analysis. DW: Writing – review & editing, Methodology, Funding acquisition, Conceptualization.

Funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This research was funded by Chinese Medical Association Journal of Nursing Discipline Research Project (CMAPH-NRD2021063).

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Aladwani, A., Alterkait, F., Mullen, A., and Eldosouky, E. (2023). Elderly patient involvement in the decision-making process of breast cancer Management in Kuwait. Gulf J. Oncolog. 1, 62–65.

PubMed Abstract | Google Scholar

Appleton, A. A., Buka, S. L., Loucks, E. B., Gilman, S. E., and Kubzansky, L. D. (2013). Divergent associations of adaptive and maladaptive emotion regulation strategies with inflammation. Health Psychol. 32, 748–756. doi: 10.1037/a0030068

PubMed Abstract | Crossref Full Text | Google Scholar

Bai, Y., Bian, F., Zhang, L., and Cao, Y. (2020). The impact of social support on the health of the rural elderly in China. Int. J. Environ. Res. Public Health 17:2004. doi: 10.3390/ijerph17062004

PubMed Abstract | Crossref Full Text | Google Scholar

Battaglia, Y., Zerbinati, L., Piazza, G., Martino, E., Massarenti, S., Provenzano, M., et al. (2020). The use of demoralization scale in Italian kidney transplant recipients. J. Clin. Med. 9:2119. doi: 10.3390/jcm9072119

Crossref Full Text | Google Scholar

Bu, L., Chen, X., Zheng, S., and Fan, G. (2023). Construction of the structural equation model of stigma, self-disclosure, social support, and quality of life of breast cancer patients after surgery-a multicenter study. Front. Oncol. 13:1142728. doi: 10.3389/fonc.2023.1142728

PubMed Abstract | Crossref Full Text | Google Scholar

Chan, W., Yu, C., Kwok, D., and Wan, J. (2022). Prevalence and factors associated with demoralization in palliative care patients: a cross-sectional study from Hong Kong. Palliat. Support. Care, 1–9. doi: 10.1017/S1478951522001171

PubMed Abstract | Crossref Full Text | Google Scholar

Chang, T. G., Hung, C. C., Huang, P. C., Hsu, C. Y., and Yen, T. T. (2022). Demoralization and its association with quality of life, sleep quality, spiritual interests, and suicide risk in breast cancer inpatients: a cross-sectional study. Int. J. Environ. Res. Public Health 19:12815. doi: 10.3390/ijerph191912815

PubMed Abstract | Crossref Full Text | Google Scholar

Cisler, J. M., Olatunji, B. O., Feldner, M. T., and Forsyth, J. P. (2010). Emotion regulation and the anxiety disorders: an integrative review. J. Psychopathol. Behav. Assess. 32, 68–82. doi: 10.1007/s10862-009-9161-1

PubMed Abstract | Crossref Full Text | Google Scholar

Corrigan, P. W., and Rao, D. (2012). On the self-stigma of mental illness: stages, disclosure, and strategies for change. Can. J. Psychiatry 57, 464–469. doi: 10.1177/070674371205700804

PubMed Abstract | Crossref Full Text | Google Scholar

de Figueiredo, J. M., Zhu, B., Patel, A. S., Kohn, R., Koo, B. B., and Louis, E. D. (2023). Differential impact of resilience on demoralization and depression in Parkinson disease. Front. Psych. 14:1207019. doi: 10.3389/fpsyt.2023.1207019

PubMed Abstract | Crossref Full Text | Google Scholar

de Ridder, D., Geenen, R., Kuijer, R., and van Middendorp, H. (2008). Psychological adjustment to chronic disease. Lancet 372, 246–255. doi: 10.1016/S0140-6736(08)61078-8

Crossref Full Text | Google Scholar

Du, X., Wang, D., Du, H., Zou, Q., and Jin, Y. (2021). The correlation between intimate relationship, self-disclosure, and adaptability among colorectal cancer enterostomy patients. Medicine (Baltimore) 100:e25904. doi: 10.1097/MD.0000000000025904

PubMed Abstract | Crossref Full Text | Google Scholar

Erdogan, K. A., and Aydinoglu, U. (2023). A correlational and cross-sectional study on the relationship between internalized stigma and religious coping in patients with schizophrenia. Medicine (Baltimore) 102:e34558. doi: 10.1097/MD.0000000000034558

PubMed Abstract | Crossref Full Text | Google Scholar

Fang, C., Chang, M., Chen, P., Lin, C., Chen, G., Lin, J., et al. (2014). A correlational study of suicidal ideation with psychological distress, depression, and demoralization in patients with cancer. Support Care Cancer 22, 3165–3174. doi: 10.1007/s00520-014-2290-4

PubMed Abstract | Crossref Full Text | Google Scholar

Firouzbakht, M., Hajian-Tilaki, K., and Moslemi, D. (2020). Analysis of quality of life in breast cancer survivors using structural equation modelling: the role of spirituality, social support and psychological well-being. Int. Health 12, 354–363. doi: 10.1093/INTHEALTH/IHZ108

PubMed Abstract | Crossref Full Text | Google Scholar

Gao, X., Zhang, F., Zhou, Q., Xu, H., and Bian, J. (2023). Metastasis, characteristic, and treatment of breast cancer in young women and older women: a study from the surveillance, epidemiology, and end results registration database. PLoS One 18:e0293830. doi: 10.1371/journal.pone.0293830

PubMed Abstract | Crossref Full Text | Google Scholar

Gratz, K. L. R. L. (2004). Multidimensional assessment of emotion regulation and dysregulation: development, factor structure, and initial validation of the difficulties in emotion regulation scale. J. Psychopathol. Behav. Assess. 30, 315–354. doi: 10.1007/s10862-008-9102-4

Crossref Full Text | Google Scholar

Gross, J. J. (2015). Emotion regulation: current status and future prospects. Psychol. Inq. 26, 1–26. doi: 10.1080/1047840X.2014.940781

Crossref Full Text | Google Scholar

Hancox, J. A., McKiernan, C. F., Martin, A. L., Tomas, J., and Mac Artney, J. I. (2023). The emotional effects on professional interpreters of interpreting palliative care conversations for adult patients: a rapid review. Palliat. Med. 37, 931–946. doi: 10.1177/02692163231169318

PubMed Abstract | Crossref Full Text | Google Scholar

Hao, R., Zhang, M., Zuo, J., Qi, Y., and Hu, J. (2023). Contribution of coping style to the association between illness uncertainty and demoralisation in patients with breast cancer: a cross-sectional mediation analysis. BMJ Open 13:e065796. doi: 10.1136/bmjopen-2022-065796

Crossref Full Text | Google Scholar

Henry, J. D., Coundouris, S. P., Mead, J., Thompson, B., Hubbard, R. E., and Grainger, S. A. (2023). Social frailty in late adulthood: social cognitive and psychological well-being correlates. J. Gerontol. Ser. B Psychol. Sci. Soc. Sci. 78, 87–96. doi: 10.1093/geronb/gbac157

PubMed Abstract | Crossref Full Text | Google Scholar

Hong, Y. T., Lin, Y. A., Pan, Y. X., Lin, J. L., Lin, X. J., Zhang, J., et al. (2022). Understanding factors influencing demoralization among cancer patients based on the bio-psycho-social model: a systematic review. Psychooncology 31, 2036–2049. doi: 10.1002/pon.6023

PubMed Abstract | Crossref Full Text | Google Scholar

Hu, L. P., Bao, X. L., Zhou, S. G., Guan, X., and Xin, H. L. (2011). Estimation of sample size and testing power (part 1). Zhong Xi Yi Jie He Xue Bao 9, 1070–1074. doi: 10.3736/jcim20111006

PubMed Abstract | Crossref Full Text | Google Scholar

Igarashi, T., Nihei, M., Inoue, T., Sugawara, I., and Kamata, M. (2022). Eliciting a User's preferences by the self-disclosure of socially assistive robots in local households of older adults to facilitate verbal human-robot interaction. Int. J. Environ. Res. Public Health 19:11319. doi: 10.3390/ijerph191811319

PubMed Abstract | Crossref Full Text | Google Scholar

Jadidi, A., and Ameri, F. (2022). Social support and meaning of life in women with breast cancer. Ethiop. J. Health Sci. 32, 709–714. doi: 10.4314/ejhs.v32i4.6

PubMed Abstract | Crossref Full Text | Google Scholar

Ji, L. L., Tsai, W., Sun, X. L., Lu, Q., Wang, H. D., Wang, L. J., et al. (2019). The detrimental effects of ambivalence over emotional expression on well-being among mainland Chinese breast cancer patients: mediating role of perceived social support. Psychooncology 28, 1142–1148. doi: 10.1002/pon.5069

PubMed Abstract | Crossref Full Text | Google Scholar

Kang, T., Liu, F., Jiang, Q., Han, J., and Guo, R. (2023). Risk factors of demoralization among lung cancer patients in mainland China. Am. J. Health Behav. 47, 588–594. doi: 10.5993/AJHB.47.3.16

PubMed Abstract | Crossref Full Text | Google Scholar

Kissane, D. W., Wein, S., Love, A., Lee, X. Q., Kee, P. L., and Clarke, D. M. (2004). The demoralization scale: a report of its development and preliminary validation. J. Palliat. Care 20, 269–276. doi: 10.1177/082585970402000402

PubMed Abstract | Crossref Full Text | Google Scholar

Krishnasamy, M., Hyatt, A., Chung, H., Gough, K., and Fitch, M. (2023). Refocusing cancer supportive care: a framework for integrated cancer care. Support Care Cancer 31:14. doi: 10.1007/s00520-022-07501-9

PubMed Abstract | Crossref Full Text | Google Scholar

Levi-Belz, Y., and Hamdan, S. (2023). Shame, depression, and complicated grief among suicide loss-survivors: the moderating role of self-disclosure. Eur. J. Psychotraumatol. 14:2182820. doi: 10.1080/20008066.2023.2182820

PubMed Abstract | Crossref Full Text | Google Scholar

Li, Y. C., Ho, C. H., and Wang, H. H. (2017a). Protective factors of demoralization among cancer patients in Taiwan: an age-matched and gender-matched study. Asian Nurs. Res. 11, 174–179. doi: 10.1016/j.anr.2017.07.001

PubMed Abstract | Crossref Full Text | Google Scholar

Li, Y. C., Ho, C. H., and Wang, H. H. (2017b). Demoralization in cancer patients and related factors in Taiwan. Cancer Nurs. 40, E54–E60. doi: 10.1097/NCC.0000000000000352

Crossref Full Text | Google Scholar

Liao, H., Li, S., Han, D., Zhang, M., Zhao, J., Wu, Y., et al. (2023). Associations between social support and poverty among older adults. BMC Geriatr. 23:384. doi: 10.1186/s12877-023-04079-7

PubMed Abstract | Crossref Full Text | Google Scholar

Lin, Y., Song, Y., Xu, Y., Wang, C., Xu, Y., Huang, X., et al. (2023). Assessment of geriatric and clinical domains for development and validation of a novel nomogram to predict the prognosis of older patients with breast cancer: a real-world retrospective cohort study. Front. Oncol. 13:1250927. doi: 10.3389/fonc.2023.1250927

PubMed Abstract | Crossref Full Text | Google Scholar

Liu, J., Chan, S. W., Guo, D., Lin, Q., Hunter, S., Zhu, J., et al. (2023). Decisional conflict, patient involvement, and the associated psychological factors relating to mastectomy decisions among women with breast cancer: a cross-sectional study. Cancer Nurs. doi: 10.1097/NCC.0000000000001256

PubMed Abstract | Crossref Full Text | Google Scholar

Lo, C., Chen, I., Ho, W., and Cheng, Y. (2023). A sequential mediation model of perceived social support, mindfulness, perceived hope, and mental health literacy: an empirical study on Taiwanese university students. Acta Psychol. 240:104016. doi: 10.1016/j.actpsy.2023.104016

Crossref Full Text | Google Scholar

MacCallum, R. C., Roznowski, M., and Necowitz, L. B. (1992). Model modifications in covariance structure analysis: the problem of capitalization on chance. Psychol. Bull. 111, 490–504. doi: 10.1037/0033-2909.111.3.490

PubMed Abstract | Crossref Full Text | Google Scholar

McNamara, N., Stevenson, C., Costa, S., Bowe, M., Wakefield, J., Kellezi, B., et al. (2021). Community identification, social support, and loneliness: the benefits of social identification for personal well-being. Br. J. Soc. Psychol. 60, 1379–1402. doi: 10.1111/bjso.12456

PubMed Abstract | Crossref Full Text | Google Scholar

Mo, Q., Tan, C., Wang, X., Soondrum, T., and Zhang, J. (2022). Optimism and symptoms of anxiety and depression among Chinese women with breast cancer: the serial mediating effect of perceived social support and benefit finding. BMC Psychiatry 22:635. doi: 10.1186/s12888-022-04261-y

PubMed Abstract | Crossref Full Text | Google Scholar

Mohr, S., and Huguelet, P. (2004). The relationship between schizophrenia and religion and its implications for care. Schweiz. Med. Wochenschr. 134, 369–376. doi: 10.4414/smw.2004.10322

PubMed Abstract | Crossref Full Text | Google Scholar

Nanni, M. G., Caruso, R., Sabato, S., and Grassi, L. (2018). Demoralization and embitterment. Psychol. Trauma 10, 14–21. doi: 10.1037/tra0000326

PubMed Abstract | Crossref Full Text | Google Scholar

Okado, Y., Bierman, K. L., and Welsh, J. A. (2014). Promoting school readiness in the context of socio-economic adversity: associations with parental demoralization and support for learning. Child Youth Care Forum 43, 353–371. doi: 10.1007/s10566-013-9242-x

PubMed Abstract | Crossref Full Text | Google Scholar

Orzechowska, A., Maruszewska, P., Galecka, M., Hyland, P., Boduszek, D., Galecki, P., et al. (2023). Emotional control in selected somatic and psychiatric diseases. BMC Psychiatry 23:802. doi: 10.1186/s12888-023-05321-7

PubMed Abstract | Crossref Full Text | Google Scholar

Perndorfer, C., Soriano, E. C., Siegel, S. D., and Laurenceau, J. P. (2019). Everyday protective buffering predicts intimacy and fear of cancer recurrence in couples coping with early-stage breast cancer. Psychooncology 28, 317–323. doi: 10.1002/pon.4942

PubMed Abstract | Crossref Full Text | Google Scholar

Philip, J., Collins, A., Brand, C., Sundararajan, V., Lethborg, C., Gold, M., et al. (2018). A proposed framework of supportive and palliative care for people with high-grade glioma. Neuro-Oncology 20, 391–399. doi: 10.1093/neuonc/nox140

PubMed Abstract | Crossref Full Text | Google Scholar

Ricciardi, E., Spano, G., Tinella, L., Lopez, A., Clemente, C., Bosco, A., et al. (2023). Perceived social support mediates the relationship between use of greenspace and geriatric depression: a cross-sectional study in a sample of south-Italian older adults. Int. J. Environ. Res. Public Health 20:5540. doi: 10.3390/ijerph20085540

PubMed Abstract | Crossref Full Text | Google Scholar

Rusch, N., Abbruzzese, E., Hagedorn, E., Hartenhauer, D., Kaufmann, I., Curschellas, J., et al. (2014). Efficacy of coming out proud to reduce stigma's impact among people with mental illness: pilot randomised controlled trial. Br. J. Psychiatry 204, 391–397. doi: 10.1192/bjp.bp.113.135772

PubMed Abstract | Crossref Full Text | Google Scholar

Scandurra, C., Mangiapia, F., La Rocca, R., Di Bello, F., De Lucia, N., Muzii, B., et al. (2022). A cross-sectional study on demoralization in prostate cancer patients: the role of masculine self-esteem, depression, and resilience. Support Care Cancer 30, 7021–7030. doi: 10.1007/s00520-022-07145-9

PubMed Abstract | Crossref Full Text | Google Scholar

Siegel, R. L., Miller, K. D., Fuchs, H. E., and Jemal, A. (2021). Cancer statistics, 2021. CA Cancer J. Clin. 71, 7–33. doi: 10.3322/caac.21654

Crossref Full Text | Google Scholar

Sung, H., Ferlay, J., Siegel, R. L., Laversanne, M., Soerjomataram, I., Jemal, A., et al. (2021). Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J. Clin. 71, 209–249. doi: 10.3322/caac.21660

PubMed Abstract | Crossref Full Text | Google Scholar

Tajvar, M., Grundy, E., and Fletcher, A. (2018). Social support and mental health status of older people: a population-based study in Iran-Tehran. Aging Ment. Health 22, 344–353. doi: 10.1080/13607863.2016.1261800

Crossref Full Text | Google Scholar

Tang, M., Su, Z., He, Y., Pang, Y., Zhou, Y., Wang, Y., et al. (2024). Physical symptoms and anxiety and depression in older patients with advanced cancer in China: a network analysis. BMC Geriatr. 24:185. doi: 10.1186/s12877-024-04788-7

PubMed Abstract | Crossref Full Text | Google Scholar

Tang, P., Wang, H., and Chou, F. (2015). A systematic review and meta-analysis of demoralization and depression in patients with cancer. Psychosomatics 56, 634–643. doi: 10.1016/j.psym.2015.06.005

Crossref Full Text | Google Scholar

Tang, D., Wang, X., Liu, Y., and Bu, T. (2022). The impact of informal social support on older health: evidence from China. Int. J. Environ. Res. Public Health 19:2444. doi: 10.3390/ijerph19042444

PubMed Abstract | Crossref Full Text | Google Scholar

Thompson, T., Rodebaugh, T. L., Perez, M., Schootman, M., and And Jeffe, D. B. (2013). Perceived social support change in patients with early stage breast cancer and controls. Health Psychol. 32, 886–895. doi: 10.1037/a0031894

PubMed Abstract | Crossref Full Text | Google Scholar

Truong, C., Gallo, J., Roter, D., and Joo, J. (2019). The role of self-disclosure by peer mentors: using personal narratives in depression care. Patient Educ. Couns. 102, 1273–1279. doi: 10.1016/j.pec.2019.02.006

PubMed Abstract | Crossref Full Text | Google Scholar

Tsumura, T., Yamada, S., and Bouffanais, R. (2023). Influence of agent's self-disclosure on human empathy. PLoS One 18:e0283955. doi: 10.1371/journal.pone.0283955

PubMed Abstract | Crossref Full Text | Google Scholar

Vehling, S., Oechsle, K., Koch, U., and Mehnert, A. (2013). Receiving palliative treatment moderates the effect of age and gender on demoralization in patients with cancer. PLoS One 8:e59417. doi: 10.1371/journal.pone.0059417

Crossref Full Text | Google Scholar

Wang, Y., Qiu, Y., Ren, L., Jiang, H., Chen, M., and Dong, C. (2024). Social support, family resilience and psychological resilience among maintenance hemodialysis patients: a longitudinal study. BMC Psychiatry 24:76. doi: 10.1186/s12888-024-05526-4

PubMed Abstract | Crossref Full Text | Google Scholar

Wells, K. J., Drizin, J. H., Ustjanauskas, A. E., Vazquez-Otero, C., Pan-Weisz, T. M., Ung, D., et al. (2022). The psychosocial needs of underserved breast cancer survivors and perspectives of their clinicians and support providers. Support Care Cancer 30, 105–116. doi: 10.1007/s00520-021-06286-7

Crossref Full Text | Google Scholar

Wu, H., and Lu, N. (2017). Informal care and health behaviors among elderly people with chronic diseases. J. Health Popul. Nutr. 36:40. doi: 10.1186/s41043-017-0117-x

PubMed Abstract | Crossref Full Text | Google Scholar

Xu, J., Liu, G., Li, H., Jiang, X., Zhou, S., Wang, J., et al. (2024). Association between social integration and loneliness among the female migrant older adults with children: the mediating effect of social support. BMC Geriatr. 24:4. doi: 10.1186/s12877-023-04569-8

PubMed Abstract | Crossref Full Text | Google Scholar

Yang, Y., Sun, H., Luo, X., Li, W., Yang, F., Xu, W., et al. (2022). Network connectivity between fear of cancer recurrence, anxiety, and depression in breast cancer patients. J. Affect. Disord. 309, 358–367. doi: 10.1016/j.jad.2022.04.119

PubMed Abstract | Crossref Full Text | Google Scholar

Zhang, H., Mo, S., Zhang, J., Li, B., Chen, Y., Huang, X., et al. (2023). The mediating role of sleep quality in the relationship between social support and depressive symptoms in early pregnant women. Am. J. Transl. Res. 15, 6314–6320.

PubMed Abstract | Google Scholar

Zhen, R., Quan, L., and Zhou, X. (2018). How does social support relieve depression among flood victims? The contribution of feelings of safety, self-disclosure, and negative cognition. J. Affect. Disord. 229, 186–192. doi: 10.1016/j.jad.2017.12.087

PubMed Abstract | Crossref Full Text | Google Scholar

Zheng, Q., Xiong, L., Li, H., Liu, M., Xu, J., and Luo, X. (2022). Demoralization: where it stands-and where we can take it: a bibliometric analysis. Front. Psychol. 13:1016601. doi: 10.3389/fpsyg.2022.1016601

PubMed Abstract | Crossref Full Text | Google Scholar

Zhou, X., Zhang, X., Zhong, T., Zhou, M., Gao, L., and Chen, L. (2024). Prevalence and associated factors of chemotherapy-related cognitive impairment in older breast cancer survivors. J. Adv. Nurs. 80, 484–499. doi: 10.1111/jan.15842

PubMed Abstract | Crossref Full Text | Google Scholar

Zhu, H., Tao, L., Hu, X., and Jiang, X. (2023). Effects of self-disclosure and resilience on reproductive concern in patients of childbearing age with breast cancer: a cross-sectional survey study. BMJ Open 13:e068126. doi: 10.1136/bmjopen-2022-068126

PubMed Abstract | Crossref Full Text | Google Scholar

Zhuang, H., Wang, L., Yu, X., Chan, S. W., Gao, Y., Li, X., et al. (2022). Effects of decisional conflict, decision regret and self-stigma on quality of life for breast cancer survivors: a cross-sectional, multisite study in China. J. Adv. Nurs. 78, 3261–3272. doi: 10.1111/jan.15250

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: older adults, homebound, breast cancer, self-disclosure, social support, demoralization, mediating effect

Citation: Liu M, Qin F and Wang D (2024) A study of the mediating effect of social support on self-disclosure and demoralization in Chinese older adult homebound breast cancer patients. Front. Psychol. 15:1365246. doi: 10.3389/fpsyg.2024.1365246

Received: 04 January 2024; Accepted: 08 April 2024;
Published: 17 April 2024.

Edited by:

Fabrizio Stasolla, Giustino Fortunato University, Italy

Reviewed by:

Fei Fei Huang, Fujian Medical University, China
Alessandro Oronzo Caffò, University of Bari Aldo Moro, Italy

Copyright © 2024 Liu, Qin and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Deyu Wang, dycsd@126.com

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.