Volume 28, Issue 8 (11-2021)
RJMS 2021, 28(8): 99-107 |
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Clinical trials code: 01
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Tahmasabi M, Eslami P, Heydari K, Modab F, Khalilizadeh Mahani F. Effectiveness of Self-Compassion-Based Therapy on Communication Skills and Depression in Women with Polycystic Ovary Syndrome. RJMS 2021; 28 (8) :99-107
URL: http://rjms.iums.ac.ir/article-1-8733-en.html
URL: http://rjms.iums.ac.ir/article-1-8733-en.html
Master of Clinical Sciences, University of Science and Art, Yazd branch, Yazd, Iran. , foroogh@gmail.com
Abstract: (354 Views)
Background & Aims: Polycystic ovary syndrome can cause many complications, including depression. Due to the significant prevalence of depression in outpatients of medical and counseling centers, it is of high priority to know the factors involved in the occurrence and persistence of this disorder. In a comprehensive and meta-analytical research that was conducted, 12% of the total admissions to hospitals and medical centers are made up of depressed patients. This research was conducted with the aim of the effectiveness of self-compassion-based therapy on communication skills and depression in women with polycystic ovary syndrome.
Methods: The research method was a semi-experimental type with control and experimental groups. The statistical population consisted of all women with polycystic ovary syndrome. The sampling method was done through available and 30 people were replaced in two experimental groups (15 people) and control (15 people) and the experimental group participated in 8 treatment sessions. The data were obtained using questionnaires on the communication skills of Queen Damm (2004) and the depression of Beck (1961). According to the subject of the research, the current research is semi-experimental. In an overview of experimental studies (experimental, semi-experimental), the effect of one or more independent variables on one or more dependent variables can be investigated. This type of research, in cases where it is possible to manipulate the variables, can provide important knowledge and information about the cause-and-effect relationships between the variables. The semi-experimental design used in the research is a two-group design (one experimental group and one control group) with pre-test-post-test. The statistical population of the study included women with polycystic ovary syndrome in Bandar Abbas City. The sample size in this research was 30 people who were selected from among women with polycystic ovary syndrome by available sampling method. To obtain samples, 10 medical centers in Bandar Abbas city were visited and the medical centers were asked to introduce to the researcher the number of patients who were suffering from polycystic ovary syndrome and who received or are receiving medical services from these centers. To obtain the community, then among them, with the cooperation of doctors, 30 people who were willing to participate in the research were asked to be introduced to the researcher, and then they were randomly divided into two experimental and control groups, before the treatment, a pre-test was taken and then the experimental group participated in 8 therapy sessions and finally a post-test was taken from both groups. The research tools in this study were a communication skills questionnaire and a depression questionnaire. The data were analyzed using the statistical method of analysis of covariance.
Results: In the inferential statistics section, since a pre-test-post-test semi-experimental design with a control group was used to investigate this hypothesis, therefore, the analysis covariance method was used to analyze the results, so that the effects of the pre-test be controlled as a random variable. The use of compassion-based therapy has an effect on communication skills in women with polycystic ovary syndrome. In this regard, covariance analysis has assumptions that must be fulfilled to be able to use the mentioned method. In this hypothesis, three basic assumptions of covariance analysis, including the normality of the distribution of scores, the assumption of homogeneity of variances, and the homogeneity of regression, were investigated. A- Table (2) shows the first assumption of performing the multivariate covariance analysis test to check the first hypothesis of the research. The assumption of normality of the distribution of pre-test and post-test scores about communication skills in the experimental and control groups is confirmed. Considering that the Kolmogorv-Smirnov Z value is between ±1.96 with 95% confidence, it can be said that between the observed frequencies, there is no expected difference, in other words, the data distribution is normal. Also, according to the value of Asymp.Sig. (2taild) which is more than the significant level (0.05), it can be said that the data distribution is normal. B- The second assumption of performing the covariance analysis test called the homogeneity of variances was investigated by the Lone test for the homogeneity of variances, and the results can be seen in Table 3. Since a pre-test-post-test experimental plan with a control group was used to investigate this hypothesis and the correlation between the variables is moderate, therefore, the multivariate analysis of covariance (MANCOVA) method was used to analyze the results. , the pre-test effects are controlled as a random variable and the effectiveness of compassion-based treatment on depression is obtained. In this regard, multivariate covariance analysis has assumptions that must be fulfilled to be able to use the mentioned method. In this study, three basic assumptions of multivariate covariance analysis, including the normality of the distribution of scores, the assumption of homogeneity of variances, and the homogeneity of regression were examined.
Conclusion: The results showed that the treatment based on self-compassion has an effect on communication skills and depression in women with polycystic ovary syndrome. In the compassion therapy approach, by using compassionate techniques and self-empowerment, a person realizes that by using problem-oriented methods, he can be successful in solving his problems and as a result, love himself better. From self-compassion techniques, remove negative emotions be kind to yourself and love yourself. In the intervention of compassion therapy, a person learns to have a compassionate approach towards himself and his life problems. Compassion therapy includes a kind of compassionate relationship with himself. This treatment is more than solving internal disputes; it helps people change by creating care, new attention to the self, and offering compassionate inner processes. Compassion therapy facilitates emotional change to care more and support oneself, increases the ability to accept discomfort, and reduces emotional disturbances. This therapy enables women to be more self-soothing and in control. Therefore, people who can increase self-compassion in themselves during the sessions of this treatment feel that they are less far from the ideal state, and their depression process is reduced. People learn that they do not avoid their painful feelings and suppress them. Don't, so they can know themselves in the first step and feel compassion towards it.
Methods: The research method was a semi-experimental type with control and experimental groups. The statistical population consisted of all women with polycystic ovary syndrome. The sampling method was done through available and 30 people were replaced in two experimental groups (15 people) and control (15 people) and the experimental group participated in 8 treatment sessions. The data were obtained using questionnaires on the communication skills of Queen Damm (2004) and the depression of Beck (1961). According to the subject of the research, the current research is semi-experimental. In an overview of experimental studies (experimental, semi-experimental), the effect of one or more independent variables on one or more dependent variables can be investigated. This type of research, in cases where it is possible to manipulate the variables, can provide important knowledge and information about the cause-and-effect relationships between the variables. The semi-experimental design used in the research is a two-group design (one experimental group and one control group) with pre-test-post-test. The statistical population of the study included women with polycystic ovary syndrome in Bandar Abbas City. The sample size in this research was 30 people who were selected from among women with polycystic ovary syndrome by available sampling method. To obtain samples, 10 medical centers in Bandar Abbas city were visited and the medical centers were asked to introduce to the researcher the number of patients who were suffering from polycystic ovary syndrome and who received or are receiving medical services from these centers. To obtain the community, then among them, with the cooperation of doctors, 30 people who were willing to participate in the research were asked to be introduced to the researcher, and then they were randomly divided into two experimental and control groups, before the treatment, a pre-test was taken and then the experimental group participated in 8 therapy sessions and finally a post-test was taken from both groups. The research tools in this study were a communication skills questionnaire and a depression questionnaire. The data were analyzed using the statistical method of analysis of covariance.
Results: In the inferential statistics section, since a pre-test-post-test semi-experimental design with a control group was used to investigate this hypothesis, therefore, the analysis covariance method was used to analyze the results, so that the effects of the pre-test be controlled as a random variable. The use of compassion-based therapy has an effect on communication skills in women with polycystic ovary syndrome. In this regard, covariance analysis has assumptions that must be fulfilled to be able to use the mentioned method. In this hypothesis, three basic assumptions of covariance analysis, including the normality of the distribution of scores, the assumption of homogeneity of variances, and the homogeneity of regression, were investigated. A- Table (2) shows the first assumption of performing the multivariate covariance analysis test to check the first hypothesis of the research. The assumption of normality of the distribution of pre-test and post-test scores about communication skills in the experimental and control groups is confirmed. Considering that the Kolmogorv-Smirnov Z value is between ±1.96 with 95% confidence, it can be said that between the observed frequencies, there is no expected difference, in other words, the data distribution is normal. Also, according to the value of Asymp.Sig. (2taild) which is more than the significant level (0.05), it can be said that the data distribution is normal. B- The second assumption of performing the covariance analysis test called the homogeneity of variances was investigated by the Lone test for the homogeneity of variances, and the results can be seen in Table 3. Since a pre-test-post-test experimental plan with a control group was used to investigate this hypothesis and the correlation between the variables is moderate, therefore, the multivariate analysis of covariance (MANCOVA) method was used to analyze the results. , the pre-test effects are controlled as a random variable and the effectiveness of compassion-based treatment on depression is obtained. In this regard, multivariate covariance analysis has assumptions that must be fulfilled to be able to use the mentioned method. In this study, three basic assumptions of multivariate covariance analysis, including the normality of the distribution of scores, the assumption of homogeneity of variances, and the homogeneity of regression were examined.
Conclusion: The results showed that the treatment based on self-compassion has an effect on communication skills and depression in women with polycystic ovary syndrome. In the compassion therapy approach, by using compassionate techniques and self-empowerment, a person realizes that by using problem-oriented methods, he can be successful in solving his problems and as a result, love himself better. From self-compassion techniques, remove negative emotions be kind to yourself and love yourself. In the intervention of compassion therapy, a person learns to have a compassionate approach towards himself and his life problems. Compassion therapy includes a kind of compassionate relationship with himself. This treatment is more than solving internal disputes; it helps people change by creating care, new attention to the self, and offering compassionate inner processes. Compassion therapy facilitates emotional change to care more and support oneself, increases the ability to accept discomfort, and reduces emotional disturbances. This therapy enables women to be more self-soothing and in control. Therefore, people who can increase self-compassion in themselves during the sessions of this treatment feel that they are less far from the ideal state, and their depression process is reduced. People learn that they do not avoid their painful feelings and suppress them. Don't, so they can know themselves in the first step and feel compassion towards it.
Type of Study: Research |
Subject:
Clinical Psychiatry
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