Volume 12, Issue 1 (Winter 2024)                   PCP 2024, 12(1): 53-66 | Back to browse issues page

XML Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Farzin M, Amiri Majd M, Ghamari M. Comparing the Effectiveness of Guided Imagery and Lazarus Multimodal Therapy on COVID-19 Anxiety and Life Expectancy in People Recovered From COVID-19. PCP 2024; 12 (1) :53-66
URL: http://jpcp.uswr.ac.ir/article-1-899-en.html
1- Department of Counseling, Faculty of Humanity, Abhar Branch, Islamic Azad University, Abhar, Iran.
2- Department of Counseling, Faculty of Humanity, Abhar Branch, Islamic Azad University, Abhar, Iran. , mo.Amiri@iau.ac.ir
Full-Text [PDF 686 kb]   (265 Downloads)     |   Abstract (HTML)  (1104 Views)
Full-Text:   (204 Views)
COVID-19, an epidemic pandemic, has not only raised concerns regarding physical health but has also resulted in various psychological ailments among individuals affected by or even recovered from the virus (Lai et al., 2020; Cao et al., 2020). Research conducted by Liu et al. (2020) demonstrated a high prevalence of anxiety among individuals with COVID-19. Delpino et al., (2022) in a meta-analysis study, investigated the anxiety level of Corona in 194 studies and showed that the general prevalence of anxiety was 35.1 %, affecting approximately 851,000 participants. The prevalence in low and middle-income countries was similar compared to high-income countries (34.7 %). The fear and anxiety associated with the potential infection can have detrimental effects, leading to psychological disorders and stress. In the short term, fear and stress trigger the hypothalamus in the brain, resulting in the release of cortisol hormone from the adrenal cortex and activation of sympathetic nerves throughout the body, which are beneficial for coping with stressful factors (Lakhan et al., 2020; Mahfud & Gumantan, 2020; Davies et al., 2023). However, if prolonged fear, stress, and the associated physiological response, including elevated cortisol levels and sympathetic activation persist, they can have deleterious effects, compromising the immune system’s functioning and reducing the body’s ability to combat diseases, including COVID-19 (Asadi et al., 2021). The World Health Organization (WHO) has identified COVID-19 as a significant threat to both physical and mental health. The spread of this disease has caused profound disruptions in the daily lives and routines of families, necessitating substantial adjustments to their lifestyles (Li et al., 2020; Rahmatinejad et al., 2020). The coronavirus Disease 2019 (COVID-19) pandemic has harmed the physical and mental health of the public worldwide. In addition to illness in patients with COVID-19, isolated people and the general population have experienced mental health problems due to social distancing policies, mandatory lockdowns, and other psychosocial factors. The prevalence of depression and anxiety significantly increased during the pandemic (Zhu et al, 2023).
In the context of COVID-19, “COVID-19 anxiety” specifically pertains to the anxiety induced by the contraction of the COVID-19 virus. This form of anxiety often arises due to the unknown nature of the virus and the resulting cognitive ambiguity. The constant stream of information regarding the escalating number of COVID-19 cases contributes to individuals’ heightened health concerns, thereby threatening their sense of security and overall well-being (Roy et al., 2020).
The reduction of life expectancy is another significant challenge faced by individuals affected by the COVID-19 virus. The restrictions imposed to control the spread of the pandemic can lead people to feel as if they will not be able to experience positive emotions and that their condition will not improve, which can lead to hopelessness (Javier-Aliaga et al, 2022). Life expectancy is a statistical measure that represents the average number of years an individual can expect to live within a given society. It serves as an important indicator for assessing the progress and development of nations, as improvements in healthcare and treatment outcomes typically lead to an increase in life expectancy (Snyder and Lopez, 2012; Zournazi, 2023). Snyder (1978) was the first to explore the concept of life expectancy within his theoretical framework. He defined life expectancy as a motivational cognitive structure that emerges through the interaction between a goal-oriented decision-making agent and the pathways available to achieve those goals. The first component of this definition reflects an individual’s belief in their ability to initiate and persevere through various pathways toward their desired goals. This dimension of hope often generates the belief of “I can do this”. It serves as the motivational aspect of Snyder’s theory, providing the psychological drive necessary to initiate and sustain progress toward goals. The second component of the theory, referred to as pathways, pertains to the individual’s ability to plan and explore different routes to reach their goals (Snyder, 2009, Eliott, & Olver, 2009). During the coronavirus epidemic, hope helped people adapt to various changes, such as health care, new working environments, social relationships, new laws and regulations, and so on (Braun-Lewensohn et al, 2021). The results of the study by Sarker et al., (2022) showed that hope mediated the relationship between the fear of COVID‐19 and mental health controlling for gender, and socioeconomic status, and the hypothesized model explained approximately 27% of the variance in mental health. In the face of the psychological crisis of fear caused by the COVID-19 pandemic, it is relevant to know the positive impact of hope during this context.
To address anxiety and improve life expectancy in patients, various methods have been proposed. An effective approach in the realm of mental health is guided imagery (Ali Far and Nokni, 2012). Guided imagery is a psychotherapeutic technique widely utilized in different psychological interventions, with one of its primary applications being the relaxation of the body, albeit less recognized. This technique involves the client’s ability to create vivid mental images of pleasant places or experiences. It operates based on the individual’s past life experiences and shares similarities with a form of self-hypnosis (Jenkins, 2010). Guided imagery is a therapeutic approach in which individuals are guided by a facilitator (such as a counselor, doctor, or coach) to reduce stress, anxiety, pain, and negative thoughts while promoting self-awareness and happiness. The method involves utilizing one’s imagination to vividly depict a peaceful and satisfying scene, environment, or situation. It often incorporates deep abdominal and diaphragmatic breathing, muscle relaxation, and visualizing landscapes like forests, seashores, or sacred sites, while attending to surrounding sounds and smells. Research has indicated that focusing on visualization and positive thinking can bring comfort and emotional balance. Through directed attention, guided imagery can alleviate pain, tension, anxiety, and depression while enhancing the sense of well-being (Bassampoor, 2018; Amini, Shirvani, & Bazgir, 2022; Shahabi, et al., 2020; Beizaee et al., 2017). Another treatment modality gaining prominence in contemporary practice is Lazarus multimodal therapy, which provides a comprehensive integrative approach to treatment. One of the motivations for comparing these two treatment methods is that the Lazarus model was a multi-faceted treatment, while the guided imagery technique was a uni-faceted treatment. In both treatments, an imaging technique is used, but in guided imaging treatment, this work is done in a structured way.
Lazarus multimodal therapy is rooted in the comprehensive social cognitive learning theory (Naami & Rezayatizadeh, 2022). This therapeutic approach involves the therapist serving as a guide during treatment, considering all aspects of the client’s personality. The therapist selects relevant and effective techniques from various perspectives to target and modify inappropriate behaviors and attitudes while promoting more satisfactory and productive behaviors (Lazarus, 2003). The fundamental premise of Lazarus multimodal therapy is that clients present with multifaceted issues that require a comprehensive range of interventions. In the process of multifaceted assessment, each of the seven essential dimensions, referred to by the acronym BASICID, is examined. These dimensions encompass behavior, affect (emotional experiences), sensation (bodily sensations), imagery (mental imagery), cognition (thought processes), interpersonal relationships, and drugs/biology. By thoroughly assessing these dimensions, therapists can gain a comprehensive understanding of the client’s concerns and tailor treatment accordingly (Lazarus & Lazarus, 2019).
Lazarus’ multifaceted approach has demonstrated its application and effectiveness across various domains (Lazarus, 2006). Research has investigated the effectiveness of this approach in areas such as interpersonal relationships (Barnetta et al., 2007), addressing psychological distress (Shahlapour, Sedaghat, & Pashang, 2022; Singh, Tewari, & Singh, 2019; Naami & Rezayatizadeh, 2022), reducing substance abuse (Khodabakhshy & Foroozandeh, 2022), and enhancing psychological well-being (Mesbah, 2021). These studies have provided evidence supporting the efficacy of Lazarus’ multifaceted approach in addressing various psychological concerns and promoting positive outcomes.
Given the large population of individuals affected by epidemic diseases, including COVID-19, and the associated decline in mental well-being and the prevalence of various psychological issues such as anxiety, prioritizing mental health and instilling hope becomes crucial in the lives of those affected by the disease. Additionally, due to the limited number of studies investigating the effectiveness of guided imagery and Lazarus multimodal therapy specifically on COVID-19 anxiety syndrome and life expectancy among individuals who have recovered from COVID-19, an important research question arises. The present study examines the effectiveness of guided imagery and Lazarus multimodal therapy on COVID-19 anxiety syndrome and life expectancy in individuals who have recovered from COVID-19. This study also explores any significant differences in the effectiveness between these two therapeutic approaches.

Materials and Methods 
The present study employed a quasi-experimental design with a pre-test-post-test arrangement, including a control group and a three-month follow-up phase. The study investigated the effectiveness of guided imagery and Lazarus multimodal therapy on COVID-19 anxiety syndrome and life expectancy in individuals who had recovered from COVID-19. The statistical population consisted of all individuals who had recovered from COVID-19 and were residing in Tehran in 2022. The participants were selected from Labafinejad, Masih Daneshvari, Imam Khomeini, and Milad Hospitals, and a total sample of 45 individuals was randomly assigned to three groups: Guided imagery group (15 participants), Lazarus multimodal therapy group (15 participants), and control group (15 participants). The sample size was determined based on Cohen’s table (1986), considering a confidence level of 0.95, an effect size of 0.5, and a power of 0.81 for each group of 15 individuals.
The inclusion criteria for participation in the study were as follows: 1) Scoring 27 or above on the COVID-19 Anxiety Questionnaire (CDAS), 2) Scoring 144 or below on the life expectancy questionnaire, 3) Being between the ages of 20 and 50 years, 4) Possessing literacy in reading and writing, 5) Not having a history of substance abuse, and 6) Expressing willingness to take part in the study. The exclusion criteria were: 1) Concurrent participation in other psychotherapy workshops or sessions during the study, 2) Having more than three absences or delays during treatment sessions, and 3) The use of psychiatric medications during the research (Figure 1).

COVID-19 anxiety questionnaire (CDAS-2020) 
The COVID-19 Anxiety Questionnaire (CDAS), developed and validated by Alipour et al., (2020) was used to measure anxiety related to the spread of the COVID-19 virus in Iran. The final version of the questionnaire consists of 18 items and two components (factors). Items 1 to 9 assess mental symptoms, while items 10 to 18 measure physical symptoms. Participants rate each item on a 4-point Likert scale, ranging from never (0) to always (3). The total scores on this questionnaire can range from 0 to 54, with higher scores indicating higher levels of anxiety. Reliability analysis using Cronbach alpha was conducted for the first factor (α=0.879), the second factor (α=0.861), and the entire questionnaire (α=0.919). Additionally, the reliability coefficient λ-2, based on Gottman’s λ-2, was calculated for the first factor (λ-2= 0.882), the second factor (λ-2=0.864), and the entire questionnaire (λ-2=0.922). To establish the validity of the COVID-19 anxiety questionnaire, it was correlated with the General Health Questionnaire-28 (GHQ-28) questionnaire. The results demonstrated significant correlations between the CDAS and the total score of the GHQ-28 questionnaire, as well as its anxiety, physical symptoms, social functioning disorder, and depression components (ranging from 0.269 to 0.507), all significant at the 0.01 level. These findings support the questionnaire’s validity (Alipour et al., 2020). In the present study, the internal consistency of the scale was assessed using the Cronbach alpha, yielding a reliability coefficient of 0.82.

Miller’s life expectancy questionnaire (MLEQ,-1998) 
MLEQ,-1998 is classified as a diagnostic test, comprising forty-eight dimensions related to feelings of hopelessness and helplessness. The questionnaire items assess overt and covert behavioral expressions, allowing individuals to indicate their level of hopefulness or disappointment. The scoring range for the Miller test spans from 40 to 200, with a score of 40 indicating complete helplessness and a score of 200 representing maximum hope. In evaluating the validity of this questionnaire, the reference criterion score was employed, revealing a significant positive correlation between the two measures. To establish the questionnaire’s reliability in this study, both Cronbach alpha and half-splitting methods were employed, yielding coefficients of 90.00 and 89.00, respectively (Miller & Powers, 1998).
Among the twelve sentences comprising Miller’s questionnaire, negative items are included, which are scored in the opposite direction during evaluation. To assess the questionnaire’s validity, Hosseini (2006) employed the criterion question score. This involved correlating the total score of the questionnaire with the criterion question score, revealing a significant positive relationship between the two measures (r=0.86). Additionally, Hosseini utilized Cronbach alpha and Tansif methods to ascertain the questionnaire’s reliability, resulting in coefficients of 0.90 and 0.89, respectively. In the present study, the reliability of the questionnaire was determined through the use of Cronbach alpha coefficient, yielding a value of 0.89.

Treatment protocol
The guided mental imagery protocol draws its content from the practical manual for all psycho-cybernetic mental imagery and meditation systems (Ali Far and Nokni, 2012). The validity of guided mental imagery has been reported as 0.83 (Fekri & Shafiabadi, 2015). The multifaceted treatment protocol utilized in this study incorporates the theoretical and therapeutic foundations of the Lazarus approach (Lazarus, 2003; Lazarus, 2005; Lazarus, 2006). This protocol consisted of 10 sessions lasting 90 minutes each, conducted over a period of 10 weeks. The purpose and content of these sessions are outlined in Tables 1 and 2.

The study was conducted following a specific method. Subsequently, letters of recommendation were obtained from Labafinejad, Masih Deneshvari, Imam Khomeini, and Milad Public Hospitals to conduct the research. These hospitals were selected as they were designated by the Ministry of Health and Medical Education for the treatment of COVID-19. Potential participants who met the entry criteria were identified, and they were invited to participate in the research after a comprehensive explanation of the research objectives was provided. A purposive random sampling technique was employed to select a total of 45 individuals who fulfilled the entry criteria, and they were equally distributed among three groups. The treatment sessions were conducted at the counseling center of the Call of Calmness, located in the fifth district of Tehran. The sessions took place from October 2021 to the end of December, with one session per week lasting 90 minutes. The sessions were facilitated by a researcher who possessed a training certificate in guided imagery and Lazarus multimodal therapy. The control group did not receive any treatment during the course of the study. Pre-tests were administered to all three groups before the treatment sessions, followed by post-tests upon the completion of the treatment sessions. Three months after the post-test, a follow-up test was conducted to assess the durability of the intervention’s effects. After completing the measurement steps, guided imagery sessions and Lazarus multimodal therapy were also provided to the control group participants to adhere to research ethics and uphold their rights. The participants from all three groups actively participated in the research and did not withdraw from the study. Ethical standards were followed, including obtaining an ethics committee’s approval from the university, acquiring written consent from participants for questionnaire distribution and implementation of relevant training, upholding scientific integrity and trustworthiness, ensuring informed consent for participation, maintaining the participants’ anonymity, and safeguarding the confidentiality of their information.

The frequency distribution, percentage, and results of the chi-square test comparing the studied groups based on demographic characteristics are presented in Table 3. The chi-square test results indicate that there is a significant difference between the groups based on gender (P<0.05, χ2=2), marital status (P<0.05, χ2=3.31), and level of education (P<0.05, χ2=3.61). However, the groups are considered homogeneous in terms of these characteristics. The average age of the participants was 32±2.67 in the guided imagery group, 30 ± 2.31in the multimodal therapy group, and 29±3.42 in the control group.

As shown in Table 4, there are differences in the average scores of COVID-19 anxiety and life expectancy variables among the control and experimental groups at different measurement stages.

Based on the results presented in Table 5, the p-values for all the investigated variables in the control and experimental groups are greater than the predetermined significance level of 0.05. Therefore, the assumption of normality of the variables in both groups is confirmed.

Levene’s test of homogeneity of variances was conducted to examine the equality of variances between the experimental and control groups. The results of Levene’s test indicate that the variances for COVID-19 anxiety (F=1.08, P<0.05), psychological symptoms (F=1.43, P<0.05), physical symptoms (F=2.15, P<0.05), and life expectancy (F=0.33, P<0.05) are homogeneous across the experimental and control groups.
The analysis of covariance (ANCOVA) requires the presence of a correlation between pre-test and post-test scores. Correlation analysis was conducted to examine the relationship between pre-test and post-test scores of COVID-19 anxiety, psychological symptoms of COVID-19 anxiety, physical symptoms of COVID-19 anxiety, and life expectancy. The results indicate that there is a significant correlation between pre-test and post-test scores for COVID-19 anxiety (r=0.532, P<0.05), psychological symptoms of COVID-19 anxiety (r=0.613, P<0.05), physical symptoms of COVID-19 anxiety (r=0.673, P<0.05), and life expectancy (r=0.413, P<0.05). Furthermore, the assumption of homogeneity of regression slopes for COVID-19 anxiety scores, psychological symptoms of COVID-19 anxiety, physical symptoms of COVID-19 anxiety, and life expectancy across the groups was examined. The regression lines depicting the relationship between pre-test and post-test scores of these variables in the three groups were similar, indicating a linear relationship between the dependent variable and its covariance.
Multivariate covariance analysis was initially employed to assess the impact of the grouping variables on the three dependent variables. The results of the Wilks Lambda test revealed a significant difference in the linear combination of COVID-19 anxiety scores and life expectancy among the groups in the post-test stage (F=5.053, P=0.0001). The effect size, as indicated by Partial Eta Squared, suggests that 31% of the variance in the dependent variables can be accounted for by the grouping variables (i.e. guided imagery test group, Lazarus multimodal treatment group, and control group). This implies that the changes in the independent variables had a significant effect on at least one of the dependent variables across the groups. However, the results of the Wilks Lambda test indicated that there was no significant difference in the linear combination of COVID-19 anxiety scores and life expectancy among the groups in the follow-up stage (F=0.78, P=0.59). This suggests that the effects of the independent variables on the dependent variables were not enduring over time. Since the follow-up index did not yield significant results, subsequent analyses focused solely on the post-test phase to test the hypothesis and compare the differences between guided imagery interventions and Lazarus multimodal therapy regarding COVID-19 anxiety and life expectancy in individuals who have recovered from COVID-19. Univariate covariance analysis and Bonferroni post hoc test were conducted for the post-test phase, and the results are presented in Tables 6 and 7.

The results of the univariate covariance analysis in Table 5 indicate a significant difference in the impact of the independent variables on COVID-19 anxiety and life expectancy in individuals who have recovered from COVID-19. To further examine these differences, a Bonferroni post hoc test was conducted, and the results are reported in Table 7.

The findings presented in Table 7 indicate that there is no statistically significant difference observed in the variables of COVID-19 anxiety and life expectancy within the guided imagery groups of multimodal therapy (P>0.05). However, a significant difference is evident when comparing the variables of guided imagery and multimodal treatment to the control group (P<0.05). Notably, this difference favors the groups that received guided imagery and multimodal therapy interventions.

The primary objective of this study was to compare the effectiveness of guided imagery and Lazarus multimodal therapy in reducing COVID-19 anxiety and improving life expectancy among individuals who have recovered from COVID-19. To address the research question concerning the differential impact of guided imagery and Lazarus multimodal therapy on COVID-19 anxiety and life expectancy in this population, the data analysis revealed that both interventions, in comparison to the control group, yielded significant effects on COVID-19 anxiety scores and life expectancy. However, it is important to note that these effects were not found to be sustained over time. Furthermore, no significant difference was found between the effects of the two intervention methods.
The findings of previous studies support the effectiveness of guided imagery in reducing COVID-19 anxiety and improving life expectancy. Amini, Shirvani, & Bazgir, (2022), Shahabi, et al., (2020), and Beizaee et al. (2017) have reported positive outcomes concerning the effect of guided imagery on COVID-19 anxiety and life expectancy. The effectiveness of guided imagery in reducing COVID-19 anxiety and enhancing life expectancy can be attributed to its ability to foster mental acceptance of the positive impact of health and recovery on individuals’ well-being. Through guided mental imagery, individuals are empowered to envision personal goals, develop resilience to overcome challenges and eliminate negative thoughts from the past. This process enables them to strive toward their goals, surmount obstacles, and gain a sense of empowerment to address life’s difficulties. Anxiety is a complex interplay between mental and physiological factors, where sympathetic nerve activity increases during stressful situations and parasympathetic nerve activity rises during relaxation, each contributing to physical symptoms. Utilizing guided mental imagery reduces sympathetic activity and alleviates anxiety symptoms. Moreover, guided imagery facilitates individuals in taking control and managing their mental images, reducing the intrusion of negative thoughts, thereby enhancing mood and fostering hope for a brighter future. Group implementation of these methods may provide additional benefits, as individuals can find solace in observing others who share similar experiences and identifying common themes.
It can be said to explain the effectiveness of guided imagery treatment on corona anxiety, guided imagery is a therapeutic approach in which individuals use positive and calming mental images to reduce stress and anxiety. This method utilizes positive and soothing imagery to promote a state of relaxation and alleviate tension in the body and mind. Although guided imagery does not directly impact COVID-19 anxiety, it can help reduce physical and psychological symptoms of anxiety. Individuals experiencing COVID-19 anxiety may suffer from physical symptoms such as shortness of breath, rapid heartbeat, sweating, and muscle tension. Additionally, anxiety can intensify personal worries and fears. Guided imagery can guide the individual’s psychology towards calmness and tranquility by utilizing calming and positive imagery. This technique can assist individuals in visualizing themselves in a serene and confident state, ultimately reducing everyday tensions and stressors. Moreover, guided imagery exercises can improve sleep, concentration, and overall quality of life (Roffe et al, 2005).
Similarly, the effectiveness of Lazarus multimodal therapy in addressing COVID-19 anxiety and life expectancy aligns with the results of studies conducted by Barnetta et al., (2007), Shahlapour, et al. (2022), Singh, Tewari, & Singh (2019), Naami & Rezayatizadeh (2022), Khodabakhshy & Foroozandeh, (2022), and Mesbah (2021). These studies collectively provide empirical evidence supporting the efficacy of guided imagery and Lazarus multimodal therapy in addressing COVID-19 anxiety and improving life expectancy.

The effectiveness of Lazarus’ multimodal therapy in reducing COVID-19 anxiety can be attributed to its comprehensive model, which emphasizes the separation of senses from emotions, distinguishing between perceptions and cognitions, and focusing on intrapersonal and interpersonal relationships. Lazarus suggests that emotional maturity involves the ability to differentiate and establish constructive relationships by considering biological, behavioral, emotional, cognitive, and interpersonal aspects (Lazarus, 2008). By incorporating these elements during therapy sessions, the multifaceted approach in this study reduced anxiety caused by the COVID-19 pandemic.
Regarding the effect of Lazarus’ multimodal therapy on life expectancy, emotions, such as anxiety, regret, despair, anger, and guilt, are influenced by changes in cognitive interpretations of events. Lazarus suggests that emotions cannot be directly manipulated but are altered through changes in other dimensions of personality (Lazarus, 2006). In this study, participants were guided to explore their thoughts, feelings, and their impact on behavior and emotions. They were encouraged to express their emotions appropriately, establish positive relationships, and develop constructive coping mechanisms. By addressing various dimensions such as behavior, emotion, cognition, interpersonal relationships, and biology, the multifaceted approach aimed to improve life expectancy.
In summary, the results of this research indicate that both guided imagery and Lazarus multimodal therapy were effective in reducing COVID-19 anxiety and improving life expectancy in individuals who have recovered from COVID-19. The findings suggest that there was no significant difference between the two approaches in terms of their effectiveness during the post-test and follow-up assessments. However, it is important to note that this study has limitations, including the restricted sample size of individuals who recovered from COVID-19 in Tehran. Caution should be exercised when generalizing the results to other age groups and geographical locations. Additionally, demographic variables such as education and socio-economic status were not controlled for, which could have influenced the research outcomes. Future studies should address these limitations and further explore the short-term and cost-effectiveness of guided imagery and Lazarus multimodal therapy as compared to other treatment approaches in improving the post-COVID-19 challenges and traumas. These innovative and effective approaches may be recommended to specialists, psychologists, psychiatrists, and counselors for the enhancement of mental well-being in individuals affected by the pandemic.

Ethical Considerations

Compliance with ethical guidelines

This study was approved by the Ethics Committee of the Abhar Branch, Islamic Azad University (Code: 162610737).

The paper was extracted from the PhD. thesis of the Maziar Farzin, Department of Counseling, Faculty of Humanity, Abhar Branch, Islamic Azad University, Abhar, Iran.

Authors' contributions
Analysis statically, investigation, discussion writer/Main researcher: Maziar Farzin; Conceptualization and supervision: Mojtaba Amiri Majd; Methodologist, review & editing: Mohammad Ghamari.

Conflict of interest
The authors declared no conflict of interest.

The authors would like to express their gratitude and appreciation to all the women who willingly participated in this study. The researchers acknowledge the invaluable contribution of the participants, whose sincere cooperation made this research possible.

Ali Far, E., & Nokani, M. (2013). [Effectiveness of guided visualization and mental imagery in decreasing the symptoms of depression and increasing hopefulness among hemodialysis patients (Persian)]. Thoughts and Behavior in Clinical Psychology, 8(27), 81-88. [Link]
Alipour, A., Ghadami, A., Alipour, Z., & Abdollahzadeh, H. (2020). Preliminary validation of the Corona Disease Anxiety Scale (CDAS) in the Iranian sample (Persian)]. Health Psychology, 8(32), 163-175. [DOI:10.30473/hpj.2020.52023.4756]
Amini, A., Shirvani, H., & Bazgir, B. (2022). [Effectiveness of guided visualization and mental imagery on perceived stress, psychological well â being and sleep quality in armed forces retirement (Persian)]. Journal of Military Medicine, 23(12), 913-924. [DOI:10.30491/JMM.23.12.913] 
Asadi, M., kiani, A., Azimi, L., & Gharibi, Z. (2021). [COVID-19 related anxiety and self-care behaviors in students based on demographic characteristics: A cross-sectional study (Persian)]. Journal of Clinical Psychology, 13(Special Issue 2), 169-180. [DOI:10.22075/jcp.2021.22288.2049] 
Bassampoor, S. S. (2018). [The effect of relaxation techniques on anxiety of patients with myocardial infarction (Persian)]. Qazvin University of Medical Sciences. 9(35):53-8. [Link]
Beizaee, Y., Rejeh, N., Heravi Karimooi, M., Tadrisi, S. D., & Bahrami, T. (2017). [The effect of mind-guided imagery on decreasing fatigue in patients undergoing hemodialysis (Persian)]. Iranian Journal of Nursing Research, 12(1), 16-22. [DOI:10.21859/ijnr-12013]
Barnetta, J., Lazarus, A. A., Vasquezc, M. T., Moorehead-Slaughterd. O., & Johnsone.W. (2007). Boundary issues and multiple relationships: Fantasy and reality. Professional Psychology: Research and Practice, 38(4), 401–410. [DOI:10.1037/0735-7028.38.4.401]
Braun-Lewensohn, O., Abu-Kaf, S., & Kalagy, T. (2021). Hope and resilience during a pandemic among three cultural groups in Israel: The second wave of Covid-19. Frontiers in psychology, 12, 637349. [DOI:10.3389/fpsyg.2021.637349] [PMID] 
Cao, W., Fang, Z., Hou, G., Han, M., Xu, X., & Dong, J., et al. (2020). The psychological impact of the COVID-19 epidemic on college students in China. Psychiatry Research, 287, 112934. [DOI:10.1016/j.psychres.2020.112934] [PMID] 
Cohen, J. (1992). Statistical power analysis. Current Directions in Psychological Science, 1(3), 98–101. [Link]
Davies, M. R., Glen, K., Mundy, J., Ter Kuile, A. R., Adey, B. N., & Armour, C., et al. (2023). Factors associated with anxiety disorder comorbidity. Journal of Affective Disorders, 323, 280–291. [DOI:10.1016/j.jad.2022.11.051] [PMID] 
Delpino, F. M., da Silva, C. N., Jerônimo, J. S., Mulling, E. S., da Cunha, L. L., & Weymar, M. K., et al. (2022). Prevalence of anxiety during the COVID-19 pandemic: A systematic review and meta-analysis of over 2 million people. Journal of Affective Disorders, 318, 272–282.[DOI:10.1016/j.jad.2022.09.003] [PMID] 
Eliott, J. A., & Olver, I. N. (2009). Hope, life, and death: A qualitative analysis of dying cancer patients' talk about hope. Death Studies, 33(7), 609–638. [DOI:10.1080/07481180903011982] [PMID]
Fekri, C, & Shafiabadi, A. (2006). [Criticism of Simonton’s guided mental imagery method (Persian)]. Educational Psychology Quarterly, 2(5), 59-74. [DOI:10.22054/jep.2006.5988]
Hosseini, S. M. (2006). [Relationship of life expectancy and psychological hardiness in male and female students (Persian)]. Gachsaran: Islamic Azad University.
Javier-Aliaga, D. J., Quispe, G., Quinteros-Zuñiga, D., Adriano-Rengifo, C. E., & White, M. (2022). Hope and resilience related to fear of COVID-19 in young people. International Journal of Environmental Research and Public Health, 19(9), 5004. [DOI:10.3390/ijerph19095004] [PMID] 
Jenkins, C. S. (2010). Concepts, experience and modal knowledge. Philosophical Perspectives, 24, 255-279. [Link]
Khodabakhshy, N., & Foroozandeh, E. (2022). [Comparison of the effectiveness of lazarus multifaceted treatment and matrix treatment on indications for treatment of drug abuse (Persian)]. Scientific Quarterly Research on Addiction, 16(63), 199-222. [DOI:10.52547/etiadpajohi.16.63.199]
Lai, J., Ma, S., Wang, Y., Cai, Z., Hu, J., & Wei, N., et al. (2020). Factors associated with mental health outcomes among health care workers exposed to coronavirus disease 2019. JAMA Network Open, 3(3), e203976. [DOI:10.1001/jamanetworkopen.2020.3976] [PMID] 
Lakhan, R., Agrawal, A., & Sharma, M. (2020). Prevalence of depression, anxiety, and stress during COVID-19 pandemic. Journal of Neurosciences in Rural Practice, 11(4), 519–525. [DOI:10.1055/s-0040-1716442] [PMID] 
Lazarus, A.A ( 2006 ). Multimodal therapy. In J. C. Norcross, & M. R. Goldfried (eds.), Handbook of psychotherapy integration (2 edn) (pp. 105–120). Oxford: Oxford Academic. [DOI:10.1093/med:psych/9780195165791.003.0005]
Lazarus, A. A. (2005). Multimodal therapy. In R. J. Corsini & D. Wedding (Eds.), Current psychotherapies (pp. 337–371). Pacific Grove: Thomson Brooks/Cole Publishing Co. [Link]
Lazarus, A. A. (2008). Multimodal behavior therapy. In W. T. O'Donohue & J. E. Fisher (Eds.), Cognitive behavior therapy: Applying empirically supported techniques in your practice (pp. 342–346). Hoboken: John Wiley & Sons, Inc. [Link]
Lazarus, C. N., & Lazarus, A. A. (2019). Multimodal therapy. In J. C. Norcross, M. R. Goldfried (Eds.), Handbook of psychotherapy integration (pp. 125–143). Oxford: Oxford Academic. [DOI:10.1093/med-psych/9780190690465.003.0006]
Li, W., Yang, Y., Liu, Z. H., Zhao, Y. J., Zhang, Q., Zhang, L., & Cheung, T., et al. (2020). Progression of mental health services during the COVID-19 outbreak in China. International Journal of Biological Sciences, 16(10), 1732–1738. [DOI:10.7150/ijbs.45120] [PMID] 
Liu, C-Y., Yang, Y-z., Zhang, X-M., Xu, X., Dou, QL, & Zhang, W-W. (2020). The prevalence and influencing factors for anxiety in medical workers fighting COVID-19 in China: A cross-sectional survey. Journal of Clinical Medicine, 10, 11-23. [DOI:10.1101/2020.03.05.20032003]
Mahfud, I., & Gumantan, A. (2020). Survey of student anxiety levels during the COVID-19 pandemic. Jp. Jok (Jurnal Pendidikan Jasmani, Olahraga Dan Kesehatan), 4(1), 86-97. [DOI:10.33503/jp.jok.v4i1.1103]
Hojatkhah, S. M, Mesbah, I., & parvaneh, A. (2021). [Effectiveness of group counseling based on Lazarus multimodal approach on psychographic well-being of male students (Persian)]. Journal of Counseling Research, 20(78), 108-128. [DOI:10.18502/qjcr.v20i78.6786]
Miller, J. F., & Powers, M. J. (1988). Development of an instrument to measure hope. Nursing Research, 37(1), 6–10. [PMID]
Naami, A., & Rezayatizadeh, A. (2022). [The effectiveness of lazarus multimodal therapy on cognitive dissonance and sexual satisfaction in women with ambivalent attachment style (Persian)]. Community Health Journal, 16(1), 76-86. [DOI:10.22123/chj.2022.275253.1690]
Rahmatinejad, P., Yazdi, M., Khosravi, Z., & Shahisadrabadi, F. (2020). [The lived experience of patients with COVID-19 virus (COVID-19): A phenomenological study (Persian)]. Journal of Research in Psychological Health, 14(1), 71-86. [DOI:10.22123/chj.2022.275253.1690]
Roffe, L., Schmidt, K., & Ernst, E. (2005). A systematic review of guided imagery as an adjuvant cancer therapy. Psycho-Oncology, 14(8), 607–617. [DOI:10.1002/pon.889] [PMID]
Roy, D., Tripathy, S., Kar, S. K., Sharma, N., Verma, S. K., & Kaushal, V. (2020). Study of knowledge, attitude, anxiety & perceived mental healthcare need in Indian population during COVID-19 pandemic. Asian Journal of Psychiatry, 51, 102083. [DOI:10.1016/j.ajp.2020.102083] [PMID] 
Sarker, P. C., Sugawara, D., & Nishad, M. F. R. (2022). The mediating role of hope in relation with fear of COVID-19 and mental health: A study on tertiary level students of Rajshahi District. Health Science Reports, 5(5), e836. [DOI:10.1002/hsr2.836] [PMID] 
Shahabi, A., Ehteshamzadeh, P., Asgari, P., & Makvandi, B. (2020). [Comparison of the effectiveness of acceptance and commitment therapy and guided imagery on the resilience of cardiac disease patients referring to the heart rehabilitation department (Persian)]. Internal Medicine Today, 26(3), 276-297. [DOI:10.32598/hms.26.3.3184.1]
Shahlapour, S., Sedaghat, M., & Pashang, S. (2022). The effectiveness of lazarus multimodal approach on psychological distress, working memory, and anxiety in patients with multiple sclerosis. Hormozgan Medical Journal, 26(3), 119-124. [DOI:10.34172/hmj.2022.20]
Singh, P., Tewari, S., & Singh, P. (2019). Role of multimodal therapy in student having high social interaction anxiety & public speaking anxiety: A case study. Think India Journal, 22(16), 627-635. [Link]
Snyder, C. R. & Lopez, S. J. (2012). The handbook of positive psychology. New York: Oxford University Press. [Link]
Zhu, C., Zhang, T., Li, Q., Chen, X., & Wang, K. (2023). Depression and anxiety during the covid-19 pandemic: Epidemiology, mechanism, and treatment. Neuroscience Bulletin, 39(4), 675–684. [DOI:10.1007/s12264-022-00970-2] [PMID] 
Zournazi, M. (2023). Hope: New philosophies for change. Milton Park: Taylor & Francis. [DOI:10.4324/9781003416944]
Type of Study: Research | Subject: Cognitive behavioral
Received: 2023/06/28 | Accepted: 2023/09/13 | Published: 2024/01/1

Add your comments about this article : Your username or Email:

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Designed & Developed by : Yektaweb