Journal of Occupational
Health and Epidemiology
Rafsanjan university Of medical sciences
Volume 6, Issue 4 (Autumn 2017)
J Occup Health Epidemiol 2017, 6(4): 234-239 |
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Ziaaddini M, Alinezhad H. Mediating role of organization self-esteem in the relationship between perfectionism and mental health among Rafsanjan Oil Company staff (2017). J Occup Health Epidemiol 2017; 6 (4) :234-239
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1- Dept of Management, Rafsanjan Branch, Islamic Azad University, Rafsanjan, Iran. , m.ziaaddini@yahoo.com
2- Dept of Management, Rafsanjan Branch, Islamic Azad University, Rafsanjan, Iran.
2- Dept of Management, Rafsanjan Branch, Islamic Azad University, Rafsanjan, Iran.
Article history
Received: 2017/03/8
Accepted: 2017/10/2
ePublished: 2018/01/23
Accepted: 2017/10/2
ePublished: 2018/01/23
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Table 1: Composite reliability (CR) and convergent validity of the variables
Table 2: Correlation matrix and studying discriminant validity of research variables
Table 3: Route coefficients, Z statistics
Table 4: R2 rate for organizational self-esteem (OSE) and mental health
Full-Text: (1465 Views)
Introduction
Identification of psychological variables, especially personality variables related to health and mental illnesses, has been of interest to the researchers in psychological areas. Some personality traits can play an important role in the etiology and the progression of disorders. These traits can indirectly make the individuals sick by creating unhealthy behaviors like smoking, drug abuse and insomnia (1). Perfectionism, as a personality trait, is one of the factors affecting mental health, and various studies have confirmed this relationship (2).
Perfectionism is a personality trait characterized by a set of high standards of performance, and is defined as negative self-evaluation, criticism, and self-blame (2). Perfectionism is divided into two types of healthy and normal, and unhealthy and abnormal. In normal perfectionism, the perfectionist people enjoy doing hard and onerous work and when they feel that they are free in doing the activities, they do their best. By success in doing the tasks, they in turn, feel satisfaction (3). Studies have shown that perfectionism is a constant source of stress, which often leaves the individual with a feeling of failure. Perfectionists expect themselves to be flawless. These constant expectations are considered as a source of stress (4).
One of the structures that recently has interested the industrial and organizational psychologists is organizational self-esteem (OSE). OSE can be defined as the feelings of worth or value that employees feel within their workplace (5). OSE is a reflection of evaluation of adequacy and person’s worthiness as a member of the organization (6). According to the Ante’s idea (2009), staff with superior self-esteem level have more desire to positive attitudes in their working environment, better behavior with their colleagues with lower self-esteem level, and also have a superior organizational commitment (7).
Obviously, the mental disease is not specified to a stratum or a specific region and includes all of society’s levels. In fact, nobody is secure from mental and social pressure (8). Thus, mental health can be known as a universal condition in which is in or out of working environments (9).
Therefore, considering the theoretical background of this study and lack of researches done in this field, this research attempts to examine the relationship between perfectionism with mental health regarding the mediator variable of OSE in the official staff of the Iranian Oil Pipeline Company and Telecommunication Company in Rafsanjan, Iran.
Material and Methods
This research is descriptive with path analysis way .This study used primary data collected through questionnaires. First, respondents were assured that all their responses in this study will be kept confidential. The study emphasized on close-ended questionnaires which were answered based on the Likert scale (4-point scales) to determine the level of interest and perception of each element available. All questionnaire items were analyzed using the SPSS software (version 21, IBM Corporation, Armonk, NY, USA) and structural equation modeling (SEM) using partial least square (PLS) software, version 3, in order to obtain descriptive statistics data. PLS is formed of two parts of the measurement sample and structural sample (10). In the first part, the measurement sample, which is internal reliability and validity of research variables and instruments, was studied. Composite reliability (CR) is a better scale to model structural equation than Cronbach’s alpha because in calculating Cronbach’s alpha of every variable all parameters are imputed in calculation by the same importance. While in calculating the CR, a parameter with more factorial load is more important. This subject makes CR rates of a variable more reliable and exact than Cronbach’s alpha. CR rate for every variable which was more than 0.7 and less than 0.6 showed the lack of reliability. Next scale to study fitness of measurement model was convergent validity which studies correlation rate of every variable with its questions (parameters). In this area, average variance extracted (AVE) scale was used. AVE rate for every variable is more than 0.4 (11). In the second part, structural sample and research hypotheses were used by studying β coefficient and bootstrap method to calculate Z statistics rate in order to determine route coefficients significance. Route coefficients were used to determine the share of every independent variable to explain dependent variables variance.
The statistical population included all employees (130 staff) of Iranian Oil Pipeline Company and Telecommunication Company, in the southeast of Rafsanjan in 2016-2017. Based on the Guernsey and Morgan tables, 95 subjects were selected as the samples through random method.
To measure research construction, three questionnaires of perfectionism, mental health, and OSE were used. The questionnaire has been adapted from previous studies and modified to fit the current context. The questionnaires consisted of items related to distributed perfectionism (29 questions ), items related to distributed mental health (19 questions ), and items to measure OSE (18 questions ). All the questionnaires had a proper validity and reliability. The questionnaire was scored on a 4-point modified Likert scale of strongly agree, agree, strongly disagree, and disagree with weights of 4, 3, 2 and 1, respectively.
Results
Measurement sample test, parameters with a factorial load less than 0.4 such as parameters 60, 66 and 69 of OSE variable, parameters 38, 46, 48 and 45 of mental health variable, parameters 1, 2, 4, 5, 6, 11, 12, 15, 21 and 26 of perfectionism variable were omitted to analyze because there was no significant load for other variables.
CR and convergent validity: In table 1, CR and convergent validity of every variable are presented. Regarding bases mentioned in the text, rates of this table show enough credit of variables.
Identification of psychological variables, especially personality variables related to health and mental illnesses, has been of interest to the researchers in psychological areas. Some personality traits can play an important role in the etiology and the progression of disorders. These traits can indirectly make the individuals sick by creating unhealthy behaviors like smoking, drug abuse and insomnia (1). Perfectionism, as a personality trait, is one of the factors affecting mental health, and various studies have confirmed this relationship (2).
Perfectionism is a personality trait characterized by a set of high standards of performance, and is defined as negative self-evaluation, criticism, and self-blame (2). Perfectionism is divided into two types of healthy and normal, and unhealthy and abnormal. In normal perfectionism, the perfectionist people enjoy doing hard and onerous work and when they feel that they are free in doing the activities, they do their best. By success in doing the tasks, they in turn, feel satisfaction (3). Studies have shown that perfectionism is a constant source of stress, which often leaves the individual with a feeling of failure. Perfectionists expect themselves to be flawless. These constant expectations are considered as a source of stress (4).
One of the structures that recently has interested the industrial and organizational psychologists is organizational self-esteem (OSE). OSE can be defined as the feelings of worth or value that employees feel within their workplace (5). OSE is a reflection of evaluation of adequacy and person’s worthiness as a member of the organization (6). According to the Ante’s idea (2009), staff with superior self-esteem level have more desire to positive attitudes in their working environment, better behavior with their colleagues with lower self-esteem level, and also have a superior organizational commitment (7).
Obviously, the mental disease is not specified to a stratum or a specific region and includes all of society’s levels. In fact, nobody is secure from mental and social pressure (8). Thus, mental health can be known as a universal condition in which is in or out of working environments (9).
Therefore, considering the theoretical background of this study and lack of researches done in this field, this research attempts to examine the relationship between perfectionism with mental health regarding the mediator variable of OSE in the official staff of the Iranian Oil Pipeline Company and Telecommunication Company in Rafsanjan, Iran.
Material and Methods
This research is descriptive with path analysis way .This study used primary data collected through questionnaires. First, respondents were assured that all their responses in this study will be kept confidential. The study emphasized on close-ended questionnaires which were answered based on the Likert scale (4-point scales) to determine the level of interest and perception of each element available. All questionnaire items were analyzed using the SPSS software (version 21, IBM Corporation, Armonk, NY, USA) and structural equation modeling (SEM) using partial least square (PLS) software, version 3, in order to obtain descriptive statistics data. PLS is formed of two parts of the measurement sample and structural sample (10). In the first part, the measurement sample, which is internal reliability and validity of research variables and instruments, was studied. Composite reliability (CR) is a better scale to model structural equation than Cronbach’s alpha because in calculating Cronbach’s alpha of every variable all parameters are imputed in calculation by the same importance. While in calculating the CR, a parameter with more factorial load is more important. This subject makes CR rates of a variable more reliable and exact than Cronbach’s alpha. CR rate for every variable which was more than 0.7 and less than 0.6 showed the lack of reliability. Next scale to study fitness of measurement model was convergent validity which studies correlation rate of every variable with its questions (parameters). In this area, average variance extracted (AVE) scale was used. AVE rate for every variable is more than 0.4 (11). In the second part, structural sample and research hypotheses were used by studying β coefficient and bootstrap method to calculate Z statistics rate in order to determine route coefficients significance. Route coefficients were used to determine the share of every independent variable to explain dependent variables variance.
The statistical population included all employees (130 staff) of Iranian Oil Pipeline Company and Telecommunication Company, in the southeast of Rafsanjan in 2016-2017. Based on the Guernsey and Morgan tables, 95 subjects were selected as the samples through random method.
To measure research construction, three questionnaires of perfectionism, mental health, and OSE were used. The questionnaire has been adapted from previous studies and modified to fit the current context. The questionnaires consisted of items related to distributed perfectionism (29 questions ), items related to distributed mental health (19 questions ), and items to measure OSE (18 questions ). All the questionnaires had a proper validity and reliability. The questionnaire was scored on a 4-point modified Likert scale of strongly agree, agree, strongly disagree, and disagree with weights of 4, 3, 2 and 1, respectively.
Results
Measurement sample test, parameters with a factorial load less than 0.4 such as parameters 60, 66 and 69 of OSE variable, parameters 38, 46, 48 and 45 of mental health variable, parameters 1, 2, 4, 5, 6, 11, 12, 15, 21 and 26 of perfectionism variable were omitted to analyze because there was no significant load for other variables.
CR and convergent validity: In table 1, CR and convergent validity of every variable are presented. Regarding bases mentioned in the text, rates of this table show enough credit of variables.
Table 1: Composite reliability (CR) and convergent validity of the variables
| Variables | OSE | Mental health | Perfectionism |
| CR | 0.950 | 0.900 | 0.903 |
| Convergent validity | 0.546 | 0.403 | 0.407 |
CR: Composite reliability
OSE: Organizational self-esteem
OSE: Organizational self-esteem
Another important measure determined by divergent validity is the relationship between variables with their parameters comparing with their relationship with other variables, as the accepted divergent validity of a model explained that a variable in the model had more interaction with its parameters than other variables. To study divergent validity by comparing correlation rate of a structure with its parameters against correlation of that variable with other variables, method was used in which AVE square of one variable should be more than the correlation of that variable with other variables (11). As determined in table 2, AVE square rate of variables in present blocks was located in the main diameter that is more than correlation rate among them which are located in below blocks in left of the main diameter. However, it can be explained that in current research, variables in the model have more interaction with their parameters than another variable. In other words, model discriminant validity is suitable. Also, regarding correlation matrix, among variables, the highest correlation rate was related to the relationship between perfectionism and mental health.
Table 2: Correlation matrix and studying discriminant validity of research variables
| Variables | Mental health | OSE | Perfectionism |
| Mental health | 0.635 | - | - |
| OSE | -0.13 | 0.739 | - |
| Perfectionism | -0.546 | 0.202 | 0.638 |
OSE: Organization self-esteem
Structural sample and research hypotheses were used by studying β coefficient and bootstrap method to calculate Z statistics rate in order to determine route coefficients significance. Route coefficients are used to determine the share of every independent variable to explain dependent variables variance (Table 3).
The rate of R2 explains the variance of the dependent variable by independent variables. It indicates the effect of an exogenous variable on an endogenous one. Three rates of 0.19, 0.33 and 0.67 are regarded as the base rate for weak, medium and strong R2. According to table 4, R2 rate was calculated as 0.04 and 0.30 for OSE and mental health respectively. Therefore, the rates were in relatively weak level for OSE and relatively medium level for mental health.
Perfectionism effects on mental health: As shown in table 3, the significant coefficient of the route between perfectionism and mental health was 8.35 (according to 5% error principle in rejecting hypothesis 0 for rates of 1.96 and -1.96 per model parameters) that is estimated more than 1.96. So, it can be explained that researcher's objective was approved by 95% confidence. Regarding negativity of route coefficient (-0.535), it can be claimed that perfectionism has affected mental health negatively and significantly.
The rate of R2 explains the variance of the dependent variable by independent variables. It indicates the effect of an exogenous variable on an endogenous one. Three rates of 0.19, 0.33 and 0.67 are regarded as the base rate for weak, medium and strong R2. According to table 4, R2 rate was calculated as 0.04 and 0.30 for OSE and mental health respectively. Therefore, the rates were in relatively weak level for OSE and relatively medium level for mental health.
Perfectionism effects on mental health: As shown in table 3, the significant coefficient of the route between perfectionism and mental health was 8.35 (according to 5% error principle in rejecting hypothesis 0 for rates of 1.96 and -1.96 per model parameters) that is estimated more than 1.96. So, it can be explained that researcher's objective was approved by 95% confidence. Regarding negativity of route coefficient (-0.535), it can be claimed that perfectionism has affected mental health negatively and significantly.
Table 3: Route coefficients, Z statistics
| Route | Z statistics | Effect coefficient | Significance level |
| Perfectionism → mental health | 8.35 | -0.535 | P < 0.05 |
| Perfectionism → OSE | 2.13 | 0.234 | P < 0.05 |
| OSE → mental | 0.26 | -0.027 | P < 0.05 |
OSE: Organizational self-esteem
Perfectionism effects on mental health with OSE as the mediator variable: As shown in table 3, the significant coefficient of the route between perfectionism and OSE was 2.13 (according to 5% error principle in rejecting (hypothesis 0) for rates of 1.96 and -1.96 per model parameters) that is estimated more than 1.96. So, it can be explained that researcher's objective was approved by 95% confidence. Regarding positivity of route coefficient (0.234), it can be said that perfectionism affects OSE positively and significantly. Also, the significant coefficient of the route between OSE and mental health was 0.264 (according to 5% error principle in rejecting hypothesis 0 for rates of 1.96 and -1.96 per model parameters) that is estimated less than 1.96. So, it can be explained that researcher's objective was not approved by 95% confidence. The OSE did not affect mental health. Thus, perfectionism did not affect mental health with OSE as the mediator variable.
Table 4: R2 rate for organizational self-esteem (OSE) and mental health
| Variable | Mental health | OSE |
| R2 | 0.30 | 0.04 |
OSE: Organizational self-esteem
Discussion
The results have shown that perfectionism has a negative impact on mental health. It was almost consistent with the study by Capan (12), Stoeber and Rambow (13), Steel (14) and Abbaspour et al (15). The results have shown that perfectionism has a direct impact on Organization based -Self esteem, It was almost consistent with findings reported by Pierce et al (16). They reported that decrease perfectionism raises the self-esteem of governmental employees. The results have shown that Organization based -Self esteem no impact on mental health. It was not almost consistent with the study by Shek(17) ,Ni et al(18) ,Kunikata(19), Fialko et al(20).
The potential reason for lack of association between OSE and mental health is that other studies have not studied some personal variables such as professional maturity, through which, the OSE may affect the mental health.
and also results show that perfectionism has a negative impact on mental health, and decreases mental health in organizations. In this regard, no study was found to compare with the findings. Results of this research showed that self-esteem affects mental health(16)
Overall considering contradiction in different studies two conclusions can be achieved. First, other factors should be found in relationship between Organization based -Self esteem and mental health. Second, the sample size of the current work was small and accordingly, the modeled variables were not significant. Thus, some of these factors may be effective and it is suggested that larger sample size is considered in future work.
Conclusion
Based on the finding, perfectionism reduce organization based self-esteem and mental health. Thus, paying attention to the perfectionism and reduces it through various techniques such as continuous and related training courses workshops are of paramount importance.
Acknowledgments
Hereby, we express our gratitude to the managing director, research manager and staff for their support in performing this study.
Conflict of interest: None declared.
The results have shown that perfectionism has a negative impact on mental health. It was almost consistent with the study by Capan (12), Stoeber and Rambow (13), Steel (14) and Abbaspour et al (15). The results have shown that perfectionism has a direct impact on Organization based -Self esteem, It was almost consistent with findings reported by Pierce et al (16). They reported that decrease perfectionism raises the self-esteem of governmental employees. The results have shown that Organization based -Self esteem no impact on mental health. It was not almost consistent with the study by Shek(17) ,Ni et al(18) ,Kunikata(19), Fialko et al(20).
The potential reason for lack of association between OSE and mental health is that other studies have not studied some personal variables such as professional maturity, through which, the OSE may affect the mental health.
and also results show that perfectionism has a negative impact on mental health, and decreases mental health in organizations. In this regard, no study was found to compare with the findings. Results of this research showed that self-esteem affects mental health(16)
Overall considering contradiction in different studies two conclusions can be achieved. First, other factors should be found in relationship between Organization based -Self esteem and mental health. Second, the sample size of the current work was small and accordingly, the modeled variables were not significant. Thus, some of these factors may be effective and it is suggested that larger sample size is considered in future work.
Conclusion
Based on the finding, perfectionism reduce organization based self-esteem and mental health. Thus, paying attention to the perfectionism and reduces it through various techniques such as continuous and related training courses workshops are of paramount importance.
Acknowledgments
Hereby, we express our gratitude to the managing director, research manager and staff for their support in performing this study.
Conflict of interest: None declared.
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