1.
Introduction
Chronic diseases are an important public health issue, affecting both individuals and health systems worldwide. Chronic diseases with a high prevalence include chronic kidney disease (CKD), which is a condition characterized by a gradual loss of kidney function over time. End-stage renal disease (ESRD), is the final, permanent stage of CKD, where the functionality of the kidneys has decreased to such an extent that the patient's life is endangered. The global estimated prevalence of CKD is 13.4% and patients with ESRD needing renal replacement therapy is estimated between 4.902 and 7.083 million [1]. In order to survive, patients suffering from ESRD need to go under dialysis or have kidney transplantation. According to The United States Renal Data System (USRDS), in year 2020, the predominant replacement therapy for new ESRD patients was hospital hemodialysis (83.9%), followed by peritoneal dialysis (12.7%), which is performed in the patient's home. Only a small percentage (3.1%) underwent kidney transplantation [2].
Due to the disease and its treatment, ESRD patients being on peritoneal dialysis experience a number of psychosomatic changes. One of these changes involves body image, which refers to an individual's perception of size, shape and aesthetics. The body image a person has is determined by personal history, attitudes and feelings regarding body weight and shape, cultural norms, psychological and biological factors. Body image may even affect a person's ability to carry out various activities [3]. It is common for patients on dialysis to be affected by edema development and by the presence of devices such as fistulas and catheters. These patients felt deformed, bloated and had a sense of unrecognizing themselves in the mirror [4]. Body-image disturbance in patients on dialysis (hemodialysis or peritoneal dialysis) is higher than in the general population. This is also associated with psychological morbidity development, in particular with anxiety and depression [5]. Increased levels of depression and anxiety in turn feed back into body image disturbance and reduce sexual satisfaction [6].
A chronic disease also affects the quality of a patients' life. Health-related quality of life is a complex concept and its assessment mainly concerns three dimensions of the patient's life [7]. First, it concerns the assessment of physical health, which refers to the person's ability to perform daily tasks and the physical symptoms resulting from the chronic disease. Second, it has to do with psychological functioning together with the well-being level of the individual and finally the social functioning, which relates to the patient's social integration and social relationships. In studies on the quality of life of ESRD patients on dialysis, comparisons have been made between the two treatment modalities, hemodialysis and peritoneal dialysis. Although, patients on peritoneal dialysis seem to experience better quality of life than those on hemodialysis, they also show a lower quality of life in the areas of burden and symptoms of kidney disease, worsened general health, emotional wellbeing and mental energy [8],[9].
An important skill for managing a chronic disease and its mental burden on the patient is emotional intelligence, which is defined as the “ability to monitor one's own and others' feelings and emotions, to discriminate among them and to use this information to guide one's thinking and actions” [10]. As ESRD patients on dialysis experience intense emotional stress characterized by depression and anxiety, they can achieve positive attitudes toward life through emotional intelligence skills, particularly “Motivating Emotions” [10]. The literature on the effect of emotional intelligence on CKD and ESRD is limited exclusively to patients undergoing hemodialysis. Studies regarding the role of emotional intelligence on the mental health of patients with CKD or in hemodialysis have shown that emotional intelligence mediates the relationship between uncertainty, anxiety and depression and helps patients to better manage posttraumatic growth [11],[12].
The aim of this study was to investigate the views of patients on peritoneal dialysis regarding their body image, to assess their quality of life and level of emotional intelligence.
2.
Materials and methods
2.1. Study design and participants
A cross-sectional study was performed using structured questionnaires. The sample of the study was patients undergoing peritoneal dialysis and monitored by the nephrology clinics of 7 public hospitals in Greece. The study protocol was approved by the Ethical Committees of the hospitals under study. The study was conducted from 21st January 2021 to 31st May 2021. A total of 150 questionnaires were distributed and the method of collecting the questionnaires was the convenience sampling. Each patient was given an envelope, which included an informed consent with the researchers' contact details, the aim of the study and its ethical aspects (anonymity and voluntary participation).
2.2. Instruments
The Situational Inventory of Body-Image Dysphoria-Short Form (SIBID-S) scale was used to record the participants' views on body image [13]. For the present study, the Greek translated version was used [14]. SIBID-S is a 20-item scale scored on a 5-point Likert-scale (ranging from “Never” = 0 to “Always” or “Almost Always” = 4) and measures a person's negative body-image emotions (dysphoria) in specific situational contexts. Participants indicate how frequently they experience negative body image emotions in a variety of situations and contexts. The SIBID-S can be used in identifying situations that are especially distressing for persons with body-image difficulties and disorders. Higher scores indicating more frequent negative body image emotions.
The Greek version of The Trait Emotional Intelligence Questionnaire - Short Form (TEIQue-SF) was used to assess emotional intelligence [15]. The TEIQue-SF [16] is based on the full form of the TEIQue [17]. The scale consists of four subscales, Well-Being, Self-Control, Emotionality and Sociability. It includes 30 statements and participants are asked to respond to their level of agreement on a 7-point Likert-type scale (from “Strongly Disagree” = 1 to “Strongly Agree” = 7).
Kidney Disease Quality of Life - Short Form (KDQOL-SF) questionnaire was used to assess the health-related quality of life (HRQOL), which has been translated into Greek [18]. The KDQOL-SF is a validated instrument for quality of life assessment, which combines a disease-specific instrument (KDQOL) with a generic instrument (SF-36). The questionnaire consists of 23 questions covering 19 subscales. The items of the KDQOL-SF are scored on a Likert scale. Measured scores are linearly transformed into a scale ranging from 0 to 100. Higher scores indicate better HRQOL.
Also, we collected demographic data of the participants. These data include gender, age, marital status, educational level, occupational status, place of residence, partnership status and time on peritoneal dialysis.
2.3. Statistical analysis
The parametric t-test and One-Way ANOVA tests were used on the groups that met the basic conditions (Normality and equality of variances) for performing the parametric tests to check whether there were statistically significant differences between the groups of independent variables. A test was performed to determine whether there was a statistically significant relationship between the demographic characteristics of the patients and the scores of the scales studied. First, it was tested whether the observations in each control group followed a normal distribution using the Kolmogorov-Smirnov test, where the null hypothesis is formulated as “The distribution under test, does not differ from the normal distribution”. The equality of the variances between the groups of each independent variable was then tested using Levene's test, where the Null Hypothesis is formulated as “The variances of the two groups are equal”. The tests were performed at 0.05 level of significance, and therefore when the p-value (Sig.) was greater than 0.05, the null hypothesis could not be rejected. Where the p-value (Sig.) was less than the value of 0.05 in either the Kolmogorov-Smirnov or Levene's test, the null hypothesis was rejected, i.e., the conditions were not met by the groups and the non-parametric Mann-Whitney and Kruskall-Wallis tests were used to determine whether there was a statistically significant relationship between the groups of independent variables and the dependent variables. A 95% confidence level was set in all tests, i.e., a significance level of 0.05 was set. Also, a correlation analysis was performed between the scales of the 3 questionnaires used using Pearson's linear correlation coefficient. Data analysis was done with IBM SPSS 28.0 (Statistical Package for Social Sciences).
3.
Results
3.1. Demographic characteristics
A total of 102 completed questionnaires were collected and analyzed (68% response rate). The demographic characteristics of the participants are shown in Table 1. The majority of participants belonged to the age group 40 to 60 years old (52.9%), were married (67.6%), secondary school / high school graduates (51%) and lived in an urban area (52.9%).
3.2. Body image
The indicator for body image is presented in Table 2. The value of the Cronbach's alpha reliability index was calculated to be 0.948, indicating that there is high internal consistency reliability of the questions for the body image indicator. The maximum value of the body image index was 3.75 and the minimum was 0.00 while the mean value was about 1.29. According to this finding, the participants showed moderate degree of body-image dysphoria.
A correlation between the body image index and the demographic characteristics of the participants was then performed. According to the statistical analysis, only gender emerged as a statistically significant variable, with women reporting worse body image (p = 0.013).
3.3. Emotional intelligence
The descriptive results of TEIQue-SF are presented in Table 3. Participants showed moderate levels of emotional intelligence, with the Well-being subscale scoring the highest.
A correlation between TEIQue-SF and the demographic characteristics of the participants was then performed. A statistically significant relationship was found only for educational level, with university graduates showing higher levels of emotionality (p = 0.016).
3.4. Quality of life
The descriptive results of KDQOL-SF are shown on Table 4. According to the findings, participants seem to experience a moderate quality of life.
The correlations between questionnaire subscales and demographic characteristics revealed statistically significant relationships with better quality of life: between marital status and the Physical Functionality subscale, where unmarried people had a better quality of life in this subscale (p = 0.042), between educational level, especially primary school graduates and the subscales Work (p = 0.016) and Cognitive Functioning (p = 0.005) and between postgraduate/doctoral degree holders and the subscale Patient Satisfaction (p = 0.035). Also, statistically significant relationships were found between occupation and the Social Interaction subscale, where those engaged in household and unemployed (p = 0.022) showed better quality of life. Participants living in semi-urban areas had better quality of life on the subscale Burden of Kidney Disease (p = 0.034). Meanwhile, on the General Health subscale, participants residing in semi-urban areas scored higher (p = 0.028).
3.5. Association between body image, emotional intelligence and quality of life
Finally, the correlation between the three questionnaires was tested. Statistically significant relationships were found between quality of life and emotional intelligence. Specifically, statistically significant positive mean linear correlations were found between Mental Health and the subscales Well-being, Self-Control and total Emotional Intelligence with r = 0.510, r = 0.541 and r = 0.568 respectively. Also, the Vitality subscale showed statistically significant positive mean linear correlations with Well-being and overall Emotional Intelligence with correlation coefficients of 0.558 and 0.564 respectively.
4.
Discussion
The present study highlighted that the patients on peritoneal dialysis experience moderate degrees of body-image dysphoria, moderate emotional intelligence and moderate quality of life. A chronic disease, through its symptoms, treatment and complications, can affect the patient's body image. Specifically, patients on peritoneal dialysis experience several challenges that can affect their body image and quality of life. These challenges include peritoneal catheter placement, risk of peritonitis and death, as well as modification of daily activities to comply with the peritoneal dialysis schedule [19],[20].
Positive body image has multiple protective benefits for the individual, as it is associated with well-being, self-care and adaptive physical health, whereas body image disturbance has the opposite effects [21]. Patients on both peritoneal and hemodialysis experience disturbance of their body image, with a significant effect on their psychological morbidity [22]. In this study, the burden of poor body image was found to be more strongly associated with women. This finding is consistent with the findings of studies showing women with ESRD or dialysis reporting worse body images [23] and greater body image anxiety [24]. Therefore, healthcare professionals should be aware of this important issue and provide psychological support to patients either alone or in collaboration with other healthcare professionals, such as a psychologist.
The quality of life of patients on peritoneal dialysis is poor, although it is better compared to that of patients on dialysis. The domains in which peritoneal dialysis patients have poorer quality of life are burden of kidney disease, physical health, general health, emotional wellbeing and energy/fatigue [25]. According to our study findings, patients with higher educational levels and those living in semi-urban areas have a better quality of life. These findings are consistent with those of other studies [25],[26]. Patients with higher levels of education are likely to have better knowledge regarding their ability to manage their treatment and its side effects, or because their educational level is related to their work, will experience a better quality of life (such as more social contacts and mobility, better mental health, etc.). Also, because of their disease management knowledge, it becomes more likely for them to have better collaboration with health professionals, while through collaboration they improve the quality of care and therefore report greater satisfaction with care, according to the findings of this study. Patients with a high level of education have better social functioning and lower chances of depression, and therefore experience a better quality of life [27]. Patients in semi-urban areas opt for peritoneal dialysis as hemodialysis requires travel to a hospital or hemodialysis unit usually located in a city. Living in semi-urban areas probably enables patients to have better social relationships or receive better social support, compared to those living in cities, and therefore have a better quality of life.
According to the statistically significant findings of the present study, those who are engaged in household work and are unemployed, as well as those who are unmarried, had a better quality of life. These findings are in contrast to those of studies of hemodialysis patients, which show that unemployed and unmarried people have worse quality of life [28]. This finding can be explained by the fact that hemodialysis and peritoneal dialysis have different characteristics. In particular, patients on peritoneal dialysis are treated three to five times a day. When patients are working, they are likely to experience difficulties in combining their work and treatment commitments, and the pressure they experience is likely to have a negative impact on their quality of life. The same interpretation shall be given in the case of cohabitation, where married patients may experience difficulties in meeting family responsibilities and the demands of their treatment.
Emotional intelligence is the ability that can mitigate depression burden and lead to improving well-being [29]. Studies regarding emotional intelligence in peritoneal patients are very limited and were conducted involving patients on hemodialysis. The present study showed moderate levels of emotional intelligence. Training dialysis patients to acquire appropriate emotional intelligence skills helps them to reduce their anxiety levels [30]. Also, indirect benefits accrue to patients when nephrology nurses apply emotional intelligence skills [31]. Indeed, nurses, when properly trained, can implement educational programs for their patients, which provide them with the ability to improve patients' levels of emotional intelligence, both as a whole and in its domains. In turn, emotional intelligence contributes to improving patients' quality of life [32]. Follow-up results showed the advantages of these programs: their implementation going through nurses, are short in duration (30–45 min each session) with benefits seem to last over time. [32]. Further results demonstrated a positive correlation between emotional intelligence and quality of life, making it imperative to improve these patients' level of emotional intelligence. Not only do ESRD patients gain advantages from emotional intelligence, but also groups of patients with different chronic diseases or conditions [33]–[35].
The present study has a series of limitations. First, it refers to the fact that it is an observational cross-sectional study. Therefore, the association between body image, emotional intelligence and quality of life does not make a causal relation. Second, it was carried out in a relatively small number of participants, so the results cannot be generalized. Third, there are other demographic and clinical characteristics, such as the number of children, income, presence of comorbidities and creatinine clearance, that according to the literature affect the quality of life of patients on peritoneal dialysis and that were not included in this study. Therefore, the findings of this study should be interpreted with caution and cannot be generalized.
5.
Conclusions
ESRD patients on peritoneal dialysis suffer significant limitations related to disease and treatment modality. These affect both their body image and their quality of life, according to the findings of this study. Although patients on peritoneal dialysis have better quality of life compared to those on hemodialysis, they too experience some deterioration in their life. Improvement in emotional intelligence becomes the factor that plays an important mediating role in improving both body image and quality of life in patients on peritoneal dialysis.
Use of AI tools declaration
The authors declare they have not used Artificial Intelligence (AI) tools in the creation of this article.
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