# The Mediating Role of Alexithymia: Social Support and Depression among Colorectal Cancer Patients

Authors: Hongyu Shi; Li Wang; Ting Zeng; Yuewei Li; Haiyan Xu; Xin Sui; Ruitong Gao; Feng Li
Journal: Computational and Mathematical Methods in Medicine
 (2022)

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## Abstract

Purpose. The purpose of this study was to investigate the relationship among depression, alexithymia, and social support and examine the main influence factors of depression in patients with colorectal cancer (CRC). In addition, the mediating role of alexithymia between social support and depression was analyzed. Methods. Patients with CRC were recruited in two tertiary hospitals in Changchun via a convenience sampling method. All survivors were asked to complete self-report questionnaires assessing medical and demographic variables, depression, alexithymia, and social support. Results. A total of 183 patients with CRC were included. The results showed that education level and family monthly income were the main factors affecting depression patients with in CRC. Alexithymia was positively correlated with depression (r=0.389, P<0.01). Social support was negatively correlated with alexithymia (r=−0.322, P<0.01) and depression (r=−0.316, P<0.01). Moreover, alexithmia partially mediated the relationship between social support and depression, and the ratio of mediating effect with total effect was 23.82%. Conclusions. To sum up, there is a correlation between depression, social support, and alexithymia in patients with CRC; alexithymia plays a partially intermediary role in the impact of social support on depression. Our findings remind clinicians to treat the depression of patients with CRC from multiple perspectives, such as by increasing social support and reducing alexithymia.


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## Body

## 1. Introduction

According to 2018 global cancer statistics, CRC has become the second leading cause of cancer death and is an important disease that threatens human health and social development [1]. At the same time, the survival rate of colorectal cancer has increased significantly in recent years. According to the survival analysis of patients with cancer registered in the United States, the 5-year relative survival rate of colon cancer and rectal cancer increased from 48% to 68% from the mid-1970s to 2006-2012 [2]. However, the diagnosis of CRC and the treatment methods such as surgery have brought immense suffering and psychological burden to patients and their families. About 30-40% of patients with cancer have mental disorders, such as depression, anxiety, or other adjustment disorders [3], especially in patients with postoperative recurrence [4]. Importantly, in colorectal cancer, as a biological-psycho-social disease, psychological factors play a very critical role in its occurrence, development, and recovery. Therefore, it is necessary to pay attention to the mental health of patients with colorectal cancer and improve their quality of life in many aspects.The incidence of depression is higher in patients with CRC. Peng et al. [5] conducted a literature review, which including of 15 studies, total 93805 patients with CRC, showed the prevalence of depression among patients diagnosed with CRC ranged from 1.6% to 57%, and these symptoms could persist even after cancer treatment was completed. Besides, compared with patients with CRC without depression, depression significantly affected the quality of life of patients with CRC, while increasing the risk of death and reducing survival, and the more severe depression, the worse overall survival [6–8].To understand the psychological status of patients with colorectal cancer, the relationship between individuals with family and social environment will provide theoretical and experimental basis for psychological nursing. Alexithymia refers to a lack of ability to describe spiritual experience, shows a low ability to recognize and distinguish between emotions and feelings and lacks the ability to reveal external attitudes, feelings, desires, and ideas [9]. Alexithymia has proved to be a psychological risk factor for many mental disorders and psychosomatic diseases. A meta-analysis shows that depression is moderately associated with alexithymia; depressed patients suppress their emotion to hide their feeling, which makes it more difficult for patients to identify and describe their emotions, and aggravate alexithymia, especially in patients with cancer [10]. Compared with patients with low-level alexithymia, patients with high-level alexithymia scored higher in depression, and alexithymia seems to affect the development of depression more than cancer treatment [11]. In patients with breast cancer, alexithymia was significantly positively correlated with depression, the more severe alexithymia, the higher the incidence of depression and the more severe depression [12–14].Social support is an external resource available to individuals, which can effectively relieve personal stress and promote personal mental health and has been proposed as an important aspect of cancer recovery, as well as in planning survivorship care. Higher levels of support have been shown to be associated with better health outcomes and quality of life after cancer treatment. Results from a small cross-sectional study of CRC survivors suggest an association between lower social support and poorer mental health [15, 16].Based on the literature discussed above, this study firstly focused the research to the level of depression, alexithymia, and social support and explored the relationship among those three variables in patients with CRC. Secondly, it examined the predictive factors of depression in patients with CRC. Thirdly, it examined the mediating role of alexithymia between social support and depression.


## 2. Methods

### 2.1. Subjects

A cross-sectional study was implemented in two tertiary hospitals and in Changchun between June to December 2016. A convenience sampling method was used to collect data. The study was approved by the ethics committee of School of Nursing, Jilin University (No. 20160701). Inclusive criteria were as follows: (1) primary colorectal cancer diagnosed by pathology, (2) had undergone CRC surgery, (3)age≥18 years old, and (4) patients with informed consent and voluntary participation in this study. Exclusion criteria were as follows: (1) patients with mental disorders or a clear history of mental illness, or with a history of other tumors or cancers and (2) cognitive difficulties, difficulty in reading and completing questionnaires. After preliminary screening, 226 patients were recruited from two tertiary hospitals to participate in the study voluntarily. The further screening of patients excluded the patients who were at risk and did not have the ability to complete the study, and finally, 200 patients were selected, and all participants were asked to answer the written questionnaire.


### 2.2. Measures

#### 2.2.1. Demographic and Clinical Characteristics

The general information questionnaire consisted of age, gender, education level, marital status, disease type, postoperative time and so on.


#### 2.2.2. Self-Rating Depression Scale - Chinese Version

The Self-rating Depression Scale (SDS) has been confirmed to be a valid and reliable instrument in several studies, with four dimensions and 20 items [17–19]. Each item was graded on l~4 scale, from “1=noneorveryfew” to “4=allthetime”. Then, multiply the total score by 1.25 to get the standard score. According to the standard score, 50~59 indicated mild depression, 60~69 indicated moderate depression, and 70~80 indicated severe depression. Cronbach’s α of the scale was 0.796 [20].


#### 2.2.3. Social Support Rating Scale

The Social Support Rating Scale (SSRS) has been used in a wide range of Chinese populations [21]. It was composed of three dimensions and ten items. The high total score showed the high social support, < 33 represents low social support, 33~45 represents moderate social support and > 45 represents high social support. The Cronbach’s α of the scale was 0.92 [22].


#### 2.2.4. Toronto Alexithymia Scale

Toronto alexithymia scale (TAS) was used in this study, which comprises three dimension and 20 items. Participants could answer from 0 to 5 for each question, from “1=stronglydisagree” to “5=stronglyagree”. Higher scores indicate greater level of growth, ≤ 51 represents non-alexithymia and ≥ 61 represents alexithymia. Cronbach’s α of the scale was 0.87 [23].


#### 2.2.5. Sample Size

According to Kendall’s sample size estimation method, the sample size is 10 to 20 times the variable [24]. There are 10 research variables in this study (4 dimensions of SDS, 3 dimensions of SSRS, and 3 dimensions of TAS). The sample size should be between 100 and 200. In this study, a total of 200 questionnaires were distributed, 198 were retrieved, and the recovery rate was 99%. Among them, 15 unqualified questionnaires were removed. Finally, 183 questionnaires were valid, and the effective recovery rate was 92.42%. All questionnaires were collected by trained research assistants.


#### 2.2.6. Statistical Analysis

Categorical data were calculated by frequencies and percentages, and continuous data by means with standard deviations (SD). Univariate analysis was used to screen depression associated factors. Variables withP<0.1 in the univariate analysis were entered into the multiple logistic regression analysis to explore the independent factors of depression [25]. Spearman correlation analysis was used to explore the correlation between social support, alexithymia and depression. To examine whether alexithymia and would mediate the relationship between social support and depression in patients with CRC, bootstrap mediation analysis for simple mediation through the SPSS PROCESS macro was applied [26]. Bootstrap mediation, one of the most valid and powerful methods, a nonparametric sampling procedure, does not impose the assumption of normality of the sampling distribution and therefore is considered to be more powerful [26]. We utilized 5000 bootstrap samples for coefficient and indirect estimation. If the 95% confidence interval does not cross zero, indirect effect was statistically significant and mediation occurred. All analyses were conducted using a 2-sided test at a significance level of 0.05. Statistical analyses were performed using SPSS 24.0.


## 2.1. Subjects

A cross-sectional study was implemented in two tertiary hospitals and in Changchun between June to December 2016. A convenience sampling method was used to collect data. The study was approved by the ethics committee of School of Nursing, Jilin University (No. 20160701). Inclusive criteria were as follows: (1) primary colorectal cancer diagnosed by pathology, (2) had undergone CRC surgery, (3)age≥18 years old, and (4) patients with informed consent and voluntary participation in this study. Exclusion criteria were as follows: (1) patients with mental disorders or a clear history of mental illness, or with a history of other tumors or cancers and (2) cognitive difficulties, difficulty in reading and completing questionnaires. After preliminary screening, 226 patients were recruited from two tertiary hospitals to participate in the study voluntarily. The further screening of patients excluded the patients who were at risk and did not have the ability to complete the study, and finally, 200 patients were selected, and all participants were asked to answer the written questionnaire.


## 2.2. Measures

### 2.2.1. Demographic and Clinical Characteristics

The general information questionnaire consisted of age, gender, education level, marital status, disease type, postoperative time and so on.


### 2.2.2. Self-Rating Depression Scale - Chinese Version

The Self-rating Depression Scale (SDS) has been confirmed to be a valid and reliable instrument in several studies, with four dimensions and 20 items [17–19]. Each item was graded on l~4 scale, from “1=noneorveryfew” to “4=allthetime”. Then, multiply the total score by 1.25 to get the standard score. According to the standard score, 50~59 indicated mild depression, 60~69 indicated moderate depression, and 70~80 indicated severe depression. Cronbach’s α of the scale was 0.796 [20].


### 2.2.3. Social Support Rating Scale

The Social Support Rating Scale (SSRS) has been used in a wide range of Chinese populations [21]. It was composed of three dimensions and ten items. The high total score showed the high social support, < 33 represents low social support, 33~45 represents moderate social support and > 45 represents high social support. The Cronbach’s α of the scale was 0.92 [22].


### 2.2.4. Toronto Alexithymia Scale

Toronto alexithymia scale (TAS) was used in this study, which comprises three dimension and 20 items. Participants could answer from 0 to 5 for each question, from “1=stronglydisagree” to “5=stronglyagree”. Higher scores indicate greater level of growth, ≤ 51 represents non-alexithymia and ≥ 61 represents alexithymia. Cronbach’s α of the scale was 0.87 [23].


### 2.2.5. Sample Size

According to Kendall’s sample size estimation method, the sample size is 10 to 20 times the variable [24]. There are 10 research variables in this study (4 dimensions of SDS, 3 dimensions of SSRS, and 3 dimensions of TAS). The sample size should be between 100 and 200. In this study, a total of 200 questionnaires were distributed, 198 were retrieved, and the recovery rate was 99%. Among them, 15 unqualified questionnaires were removed. Finally, 183 questionnaires were valid, and the effective recovery rate was 92.42%. All questionnaires were collected by trained research assistants.


### 2.2.6. Statistical Analysis

Categorical data were calculated by frequencies and percentages, and continuous data by means with standard deviations (SD). Univariate analysis was used to screen depression associated factors. Variables withP<0.1 in the univariate analysis were entered into the multiple logistic regression analysis to explore the independent factors of depression [25]. Spearman correlation analysis was used to explore the correlation between social support, alexithymia and depression. To examine whether alexithymia and would mediate the relationship between social support and depression in patients with CRC, bootstrap mediation analysis for simple mediation through the SPSS PROCESS macro was applied [26]. Bootstrap mediation, one of the most valid and powerful methods, a nonparametric sampling procedure, does not impose the assumption of normality of the sampling distribution and therefore is considered to be more powerful [26]. We utilized 5000 bootstrap samples for coefficient and indirect estimation. If the 95% confidence interval does not cross zero, indirect effect was statistically significant and mediation occurred. All analyses were conducted using a 2-sided test at a significance level of 0.05. Statistical analyses were performed using SPSS 24.0.


## 2.2.1. Demographic and Clinical Characteristics

The general information questionnaire consisted of age, gender, education level, marital status, disease type, postoperative time and so on.


## 2.2.2. Self-Rating Depression Scale - Chinese Version

The Self-rating Depression Scale (SDS) has been confirmed to be a valid and reliable instrument in several studies, with four dimensions and 20 items [17–19]. Each item was graded on l~4 scale, from “1=noneorveryfew” to “4=allthetime”. Then, multiply the total score by 1.25 to get the standard score. According to the standard score, 50~59 indicated mild depression, 60~69 indicated moderate depression, and 70~80 indicated severe depression. Cronbach’s α of the scale was 0.796 [20].


## 2.2.3. Social Support Rating Scale

The Social Support Rating Scale (SSRS) has been used in a wide range of Chinese populations [21]. It was composed of three dimensions and ten items. The high total score showed the high social support, < 33 represents low social support, 33~45 represents moderate social support and > 45 represents high social support. The Cronbach’s α of the scale was 0.92 [22].


## 2.2.4. Toronto Alexithymia Scale

Toronto alexithymia scale (TAS) was used in this study, which comprises three dimension and 20 items. Participants could answer from 0 to 5 for each question, from “1=stronglydisagree” to “5=stronglyagree”. Higher scores indicate greater level of growth, ≤ 51 represents non-alexithymia and ≥ 61 represents alexithymia. Cronbach’s α of the scale was 0.87 [23].


## 2.2.5. Sample Size

According to Kendall’s sample size estimation method, the sample size is 10 to 20 times the variable [24]. There are 10 research variables in this study (4 dimensions of SDS, 3 dimensions of SSRS, and 3 dimensions of TAS). The sample size should be between 100 and 200. In this study, a total of 200 questionnaires were distributed, 198 were retrieved, and the recovery rate was 99%. Among them, 15 unqualified questionnaires were removed. Finally, 183 questionnaires were valid, and the effective recovery rate was 92.42%. All questionnaires were collected by trained research assistants.


## 2.2.6. Statistical Analysis

Categorical data were calculated by frequencies and percentages, and continuous data by means with standard deviations (SD). Univariate analysis was used to screen depression associated factors. Variables withP<0.1 in the univariate analysis were entered into the multiple logistic regression analysis to explore the independent factors of depression [25]. Spearman correlation analysis was used to explore the correlation between social support, alexithymia and depression. To examine whether alexithymia and would mediate the relationship between social support and depression in patients with CRC, bootstrap mediation analysis for simple mediation through the SPSS PROCESS macro was applied [26]. Bootstrap mediation, one of the most valid and powerful methods, a nonparametric sampling procedure, does not impose the assumption of normality of the sampling distribution and therefore is considered to be more powerful [26]. We utilized 5000 bootstrap samples for coefficient and indirect estimation. If the 95% confidence interval does not cross zero, indirect effect was statistically significant and mediation occurred. All analyses were conducted using a 2-sided test at a significance level of 0.05. Statistical analyses were performed using SPSS 24.0.


## 3. Results

### 3.1. Relations between Participants’ Characteristics and Depression

Total 72.1% of participants were over 50 years old and 56.3% were males. The majority of participants were married (82.5%) and 22.4% were on the job now. Furthermore, 40.4% of the participants were diagnosed as colon cancer and 27.3% were with stoma. Specific data are shown in Table1. A multiple logistic regression analysis was computed with depression as the dependent variable. Table 2 showed that education level and family monthly income were the main factors affecting depression in patients with CRC.Table 1
Description of demographic and clinical characteristics and univariate analysis of depression (N=183).
Characteristicn (%)x2PAge (year)4.3100.366≤ 4016 (8.7)41~5035 (19.1)51~6061 (33.3)61~7050 (27.3)≥ 7121 (11.5)Gender2.2680.132Male103 (56.3)Female80 (43.7)BMI0.4270.808Emaciation10 (5.5)Normal100 (54.6)Overweigh73 (39.9)Education level7.4630.059Primary school70 (38.3)Junior middle school57 (31.1)High school34 (18.6)University and above22 (12.0)Marital status4.7940.188Unmarried2 (1.1)Married151 (82.5)Divorce7 (3.8)Widowed23 (12.6)Occupational status6.8940.032Retirement52 (28.4)On the job41 (22.4)Unemployed90 (49.2)Place of residence9.1610.010City62Town51Countryside70 (38.2)Payment of medical expenses0.7380.691Urban insurance90Rural cooperative medical care89Self-expense4Family monthly income(Chinese yuan, RMB)9.1840.027< ¥100043¥1000~299990¥3000~500043 (23.5)> ¥50007 (3.8)Disease type0.2750.159Colon cancer74 (40.4)Rectal cancer109 (59.6)Postoperative time6.3440.096< 31 days75 (41.0)31~90 days51 (27.9)91~180 days39 (21.3)> 180 days18 (9.8)Stoma0.4620.497Yes50 (27.3)No133 (72.7)Comorbidity1.9550.162Yes128 (69.9)No55 (30.1)Complication0.2500.617Yes34 (18.6)No149 (81.4)Anemia6.2760.012Yes123 (67.2)No60 (32.8)Receiving treatment1.1840.553Operation71Postoperative chemotherapy/radiotherapy80Review32Table 2
Multiple regression analysis of depression.
BSEWaldPOROR 95% CIConstant-.3121.1090.0790.7780.732Education level0.9360.24814.284≤ 0.0012.550(1.569, 4.143)Family monthly income-1.205.32114.106≤ 0.0010.300(0.160, 0.562)


### 3.2. Scores and Correlations of Depression, Alexithymia and Social Support

The mean score of depression was 54.37 (SD=10.04; range 20~100), only 36.6% of the patients were not with depression. The mean score of alexithymia was 59.54 (SD=7.35; range 20~100) and 85.8% were showed alexithymia or alexithymetic tendency. The mean score of social support was 37.55 (SD=6.78, range 12~66), 23.5% of the investigated patients with CRC reported low social support.The results showed that alexithymia was positively correlated with depression (r=0.389, P<0.01). Social support was negatively correlated with alexithymia (r=−0.322, P<0.01) and depression (r=−0.316, P<0.01). Specific results are shown in Table 3.Table 3
Means, standard deviations and correlations between alexithymia, social support and depression (N=183).
MSDAlexithymiaSocial supportDepressionAlexithymia59.547.351Social support37.556.78-0.322∗∗1Depression54.3710.040.389∗∗-0.316∗∗1Note: M: mean; SD: standard deviation;∗P<0.05; ∗∗P<0.01.


### 3.3. Mediating Effect of Alexithymia between Social Support and Depression

The Bootstrap method was used to examine the mediating role of alexithymia in the relationships between social support and depression, with social support as an independent variable (X), alexithymia as a mediating variable (M), and depression as an outcome variable (Y), as shown in Figure 1.Figure 1
Mediating effect of alexithymia in social support and depression.The result showed (Table4) that both 95% CI (-0.252,-0.038) in indirect effect and 95% CI (-0.649,-0.197) in direct effect did not cross 0, which indicated that alexithymia partially mediated the relationship between social support and depression. In addition, the ratio of mediating effect with total effect was 23.82%.Table 4
Model and the mediation effect of alexithymia.
EffectSEtP95% CIEffect ratioIndirect effect ofX on Y (a×b)-0.1330.055——(-0.252, -0.038)23.82%Direct effect ofX on Y (c’)-0.4250.115-3.837≤ 0.001(-0.649, -0.197)76.18%Total effect ofX on Y-0.5571.107-4.907≤ 0.001(-5.685, -1.395)


## 3.1. Relations between Participants’ Characteristics and Depression

Total 72.1% of participants were over 50 years old and 56.3% were males. The majority of participants were married (82.5%) and 22.4% were on the job now. Furthermore, 40.4% of the participants were diagnosed as colon cancer and 27.3% were with stoma. Specific data are shown in Table1. A multiple logistic regression analysis was computed with depression as the dependent variable. Table 2 showed that education level and family monthly income were the main factors affecting depression in patients with CRC.Table 1
Description of demographic and clinical characteristics and univariate analysis of depression (N=183).
Characteristicn (%)x2PAge (year)4.3100.366≤ 4016 (8.7)41~5035 (19.1)51~6061 (33.3)61~7050 (27.3)≥ 7121 (11.5)Gender2.2680.132Male103 (56.3)Female80 (43.7)BMI0.4270.808Emaciation10 (5.5)Normal100 (54.6)Overweigh73 (39.9)Education level7.4630.059Primary school70 (38.3)Junior middle school57 (31.1)High school34 (18.6)University and above22 (12.0)Marital status4.7940.188Unmarried2 (1.1)Married151 (82.5)Divorce7 (3.8)Widowed23 (12.6)Occupational status6.8940.032Retirement52 (28.4)On the job41 (22.4)Unemployed90 (49.2)Place of residence9.1610.010City62Town51Countryside70 (38.2)Payment of medical expenses0.7380.691Urban insurance90Rural cooperative medical care89Self-expense4Family monthly income(Chinese yuan, RMB)9.1840.027< ¥100043¥1000~299990¥3000~500043 (23.5)> ¥50007 (3.8)Disease type0.2750.159Colon cancer74 (40.4)Rectal cancer109 (59.6)Postoperative time6.3440.096< 31 days75 (41.0)31~90 days51 (27.9)91~180 days39 (21.3)> 180 days18 (9.8)Stoma0.4620.497Yes50 (27.3)No133 (72.7)Comorbidity1.9550.162Yes128 (69.9)No55 (30.1)Complication0.2500.617Yes34 (18.6)No149 (81.4)Anemia6.2760.012Yes123 (67.2)No60 (32.8)Receiving treatment1.1840.553Operation71Postoperative chemotherapy/radiotherapy80Review32Table 2
Multiple regression analysis of depression.
BSEWaldPOROR 95% CIConstant-.3121.1090.0790.7780.732Education level0.9360.24814.284≤ 0.0012.550(1.569, 4.143)Family monthly income-1.205.32114.106≤ 0.0010.300(0.160, 0.562)


## 3.2. Scores and Correlations of Depression, Alexithymia and Social Support

The mean score of depression was 54.37 (SD=10.04; range 20~100), only 36.6% of the patients were not with depression. The mean score of alexithymia was 59.54 (SD=7.35; range 20~100) and 85.8% were showed alexithymia or alexithymetic tendency. The mean score of social support was 37.55 (SD=6.78, range 12~66), 23.5% of the investigated patients with CRC reported low social support.The results showed that alexithymia was positively correlated with depression (r=0.389, P<0.01). Social support was negatively correlated with alexithymia (r=−0.322, P<0.01) and depression (r=−0.316, P<0.01). Specific results are shown in Table 3.Table 3
Means, standard deviations and correlations between alexithymia, social support and depression (N=183).
MSDAlexithymiaSocial supportDepressionAlexithymia59.547.351Social support37.556.78-0.322∗∗1Depression54.3710.040.389∗∗-0.316∗∗1Note: M: mean; SD: standard deviation;∗P<0.05; ∗∗P<0.01.


## 3.3. Mediating Effect of Alexithymia between Social Support and Depression

The Bootstrap method was used to examine the mediating role of alexithymia in the relationships between social support and depression, with social support as an independent variable (X), alexithymia as a mediating variable (M), and depression as an outcome variable (Y), as shown in Figure 1.Figure 1
Mediating effect of alexithymia in social support and depression.The result showed (Table4) that both 95% CI (-0.252,-0.038) in indirect effect and 95% CI (-0.649,-0.197) in direct effect did not cross 0, which indicated that alexithymia partially mediated the relationship between social support and depression. In addition, the ratio of mediating effect with total effect was 23.82%.Table 4
Model and the mediation effect of alexithymia.
EffectSEtP95% CIEffect ratioIndirect effect ofX on Y (a×b)-0.1330.055——(-0.252, -0.038)23.82%Direct effect ofX on Y (c’)-0.4250.115-3.837≤ 0.001(-0.649, -0.197)76.18%Total effect ofX on Y-0.5571.107-4.907≤ 0.001(-5.685, -1.395)


## 4. Discussion

Patients with cancer suffer from high emotional distress, especially depression, which is considered the most crucial psychological disorder in these individuals, and it closely interacts with pain and physical symptom burden [27, 28], seriously affecting cancer progression, survival, and patient’s quality of life [29]. Thus, the main purpose of our study was to examine the mediating role of alexithymia in the relationship between social support and depression. In the meantime, we explored the independent factors of depression among patients with CRC.The results of our study showed the depression score of patients with CRC was54.37±10.04, 63.4% with depression. Hong and Tian [30] found that the prevalence of depression was 66.72% among 1217 Chinese patients with cancer, among which 103 patients with CRC were investigated and the depression prevalence rate was 54.37% (95% CI: 44.75%-63.99%). The higher incidence of depression in our study may be due to differences in measurement tools and sample heterogeneity. The risk of depression also varies at different time points [31]. Most of the patients in our study were more than one month after surgery, undergoing postoperative chemotherapy and/or radiotherapy, which may be one of the reasons for the higher prevalence of depression. In addition, the patients in our study were older (56.89±11.31). Some studies demonstrated that older age was associated with more depressive symptoms in the Chinese population, as older patients are less able to seek help and communicate with others, and they usually worry too much about the cost of treatment and family finances [32].The results of multiple logistic regression analysis showed that education level and family monthly income were the main influences factors of depression in patients with CRC. While some previous studies have reported that low education level is a predictor of depression in patients with cancer [30, 33, 34], our study does not reach this conclusion. Instead, our study showed low education levels was a protective factor for depression in patients with CRC. One possible reason is less educated individuals tend to have lower requirements and expectations for life and are more likely to accept their fate than those with more education. Secondly, more education expands one’s general knowledge, causes patients to pay more attention to the outcome of the disease, which may lead to more negative rumination. In addition, better-educated patients may experience a harder time accepting their life and the fact that everything is out of their control, and they may not be able to make the most of their mental capacity to fill gaps in health care [35]. Consistent with previous research findings [36], we found patients with CRC from families with low income showed a higher risk of depression. It is understandable to consider the costs that may increase during treatment and recovery after cancer diagnosis. Cancer, as a long-term disease, requires continuous follow-up, and the continuing cost of treatment, combined with the existing financial problems, makes the present situation more difficult to deal with. Depleted financial resources can magnify the impact of cancer treatment, and can also make patients perceive the burden of disease and poor quality of life, and increase depression level [37].Our findings confirmed published evidence that social support was negatively associated with depression in patients with CRC [16]. Social support has been shown to be strongly associated with the mental health of cancer survivors. CRC is a serious stressor. Adequate social support can provide patients with CRC with problem-solving strategies, promote positive and healthy behaviors to respond to stress events, reduce the response of the neuroendocrine system to stress, and thus reduce the impact of stress events on their physical and mental health and reduce depression to occur [38], while poor social support in turn leads to greater susceptibility to depression and anxiety [39]. The result of correlation analysis in our study showed that depression was positively associated with alexithymia. Previous studies of patients with breast cancer have also demonstrated a significant positive correlation between alexithymia, depression, and low social support [14]. Individuals with alexithymia are difficult to identify, express, and regulate their emotions [9]. The higher the degree of the patient’s alexithymia, the less effectively they can identify and describe their psychological emotions, their long-term negative experiences cannot be fully released, and then aggravate their physical and psychological discomfort, which may increase the patient’s depression.The mediating model in our study reveals that alexithymia partially mediates the relationship between social support and depression, indicating that social support can directly affect the depression of patients with CRC, or indirectly affect depression through alexithymia, and the ratio of mediating effect with total effect was 23.82%. It is suggested that we should not only increase the level of social support for CRC patients but also consider their own psychological factors to reduce and avoid the occurrence of alexithymia, so as to increase their subjective support in social support, improve the utilization of support, improve the depression of CRC patients, and thus improve the quality of life of CRC survivors. Individuals with alexithymia lack the ability to understand and express emotions, which may prevent them from forming intimate relationships with others and directly reduce social support. They may also fail to make good use of social support because they are unable to recognize other people’s emotions and respond appropriately, indirectly diminishing the benefits of social support [38]. The mediating effect of alexithymia also provides a new perspective for improving depression in patients with CRC. Several studies have shown that modified psychotherapy techniques can alter the characteristics of alexithymia [40, 41], in combination with improvements in social support, may help improve depression in patients with CRC or prevent depression in individuals with alexithymia.There are still some limitations in this study. Firstly, the self-reported measurement was used in this study. Individuals with alexithymia or depression may have difficulty in cognitive processing of their emotions, may not be able to evaluate them correctly, and may weaken observed social support outcomes. Secondly, the sample size of this study was small, only included in patients with CRC in two tertiary hospitals in China. Thirdly, limited by the conditions, this study only explored the impact of general information, social support, and alexithymia on depression in patients with CRC. In future studies, more variables are needed to be included to comprehensively explore the influencing factors of depression. Lastly, this study is just a cross-sectional survey. It cannot clarify the causal relationship between depression and social support and alexithymia. Further research on depression intervention in patients with CRC is needed to explore effective intervention programs to reduce depression. Further longitudinal studies are needed to determine the precise relationship between the three in CRC patients.


## 5. Conclusion

To sum up, there is a correlation between depression, social support, and alexithymia in patients with CRC; the level of social support and alexithymia has a certain predictive effect on depression. Alexithymia plays a partially intermediary role in the impact of social support on depression. In the future, it is necessary to study the methods to reduce depression and alexithymia in patients with CRC.



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