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. 2013 Dec 17;8(12):e82939. doi: 10.1371/journal.pone.0082939

The Impacts of Dispositional Optimism and Psychological Resilience on the Subjective Well-Being of Burn Patients: A Structural Equation Modelling Analysis

Fei He 1, Rong Cao 1, Ziqi Feng 2, Hao Guan 3,*, Jiaxi Peng 4,*
Editor: Ioannis P Androulakis5
PMCID: PMC3866201  PMID: 24358241

Abstract

Burn wounds are severely stressful events that can have a significant impact on the mental health of patients. However, the impact of burns on individuals with different personality traits can be different. The present study aimed to investigate the impact of dispositional optimism on the subjective well-being of burn patients, and mainly focused on the confirmation of the mediator role of psychological resilience. 410 burn patients from five general hospitals in Xi'an accomplished the revised Life Orientation Test, Connor-Davidson Resilience Scale, and Subjective Well-Being (SWB) scale. The results revealed that both dispositional optimism and psychological resilience were significantly correlated with SWB. Structural equation modelling indicated that psychological resilience partially mediated the relationship between dispositional optimism and SWB. The current findings extended prior reports and shed some light on how dispositional optimism influenced SWB. Limitations of the study were considered and suggestions for future studies were also discussed.

Introduction

With the gradual shift from biomedical models to biopsychosocial models, the interest in on patient well-being as a research area has increased, and modern medicine now is now focused on improving the quality of life while prolonging the lifespan of patients [1][4]. Burn wounds are a serious cause of stress and can significantly affect the mental health of patients. Statistics indicate that 10 to 44% of burn patients experience various forms of psychological symptoms or disorders during early trauma, 30 to 40% of patients continue to suffer significant long-lasting psychological disorders, and the incidence of post-traumatic stress disorder (PTSD) among burn patients ranges from 7 to 45% [5][7]. However, the effect of burns on individuals with different personality traits may vary. Using the Eysenck Personality Questionnaire, Holeva and Tarrier's survey of 256 burn patients revealed that individuals exhibiting neuroticism and low extraversion experienced high levels of anxiety; they found a strong correlation between individual anxiety levels and the occurrence of PTSD [8]. Although burn patients experience the same traumatic event, the psychological effects of the trauma differ according to individual personality traits. The current study presents a preliminary investigation into the effects of individual factors on the subjective well-being of burn patients, with a focus on two variables, namely, dispositional optimism and psychological resilience.

Originally proposed by Carver and Scheier, dispositional optimism is viewed as a stable psychological quality and a positive personality trait. It refers to an individual's positive expectations for the future [9]. Over the past 30 years, the body of research related to dispositional optimism has become increasingly rich and various groups have produced a large body of researches demonstrating correlations between dispositional optimism and subjective well-being, as well as its predictors. For instance, dispositional optimism has been found to positively correlate with self-esteem [10], [11], positive emotions [12][15], and life satisfaction [14], [16][17]. Negative correlations have also been reported between dispositional optimism and negative emotions [14][15], anxiety [18], and depression [16][17], [19]. These correlations have also been documented to be valid in many longitudinal studies [20][21] and cross-cultural studies [22].

Researches on psychological resilience began with the study on the responses to traumatic events. Research conducted by developmental psychopathologists on the formation and development of psychological resilience in the face of adversity has contributed to our understanding of why individuals do not succumb to stressful phenomena [23][24]. Block defines psychological resilience as “an individual's ability to change their behaviour to adapt to changing environmental trends and recover from stressful situations” [25]. As an individual's resource for coping with stress, psychological resilience can help effectively counter the negative effects of stress, and has therefore become a popular topic of research in positive psychology [26]. The positive influence of psychological resilience is reflected in many ways, for example, helping people recover from anticipated threat [27], improving an individual's ability to adapt to life and promoting individual development [28]. With the progression of research on psychological resilience, researchers have discovered psychological traits that are common among individuals with high psychological resilience, e.g. they are always very optimistic, feel that life is full of hope, and are curious about leading new lives [29][30]. With regard to the protective effect of psychological resilience on mental health, studies have mostly focused on the relationship between psychological resilience and negative mental health, such as depression, anxiety, loneliness, etc., and some researchers have also begun to focus on the relationship between psychological resilience and positive mental health, such as life satisfaction [28]. For instance, Chinese researchers Wu et al. reported a significant positive correlation between psychological resilience and life satisfaction among the families of earthquake victims [29].

In summary, there are enough reasons to believe that dispositional optimism and psychological resilience are positive predictors of subjective well-being, and that the two variables are positively correlated: It is usually the case that an optimistic person also has high psychological resilience. However, the trilateral relationship among the three variables remains unclear at present. Dispositional optimism is a stable psychological quality, psychological resilience is the ability to adapt to changing environments and recover from stressful situations, while subjective well-being is the overall affective and cognitive evaluation of quality of life. We hypothesize that people who have positive expectations for the future will have a stronger ability to withstand pressure and hence have a more positive evaluation of life. Using burn patients as research subjects, this study attempts to explore the impact of dispositional optimism and psychological resilience on post-traumatic subjective well-being.

Method

2.1 Participants and Procedure

Participants were 410 burn patients (309 men and 101 women) from five general hospitals in Xi'an. All burns were due to scalds and second-degree burnt area covered 20–40%. Patients with head and face burns were excluded. The ages of burn patients ranged from 17 to 35, with a mean of 25.24 (SD = 2.76). Questionnaires were distributed at the second time when patients came to the hospital and participants completed the questionnaires in a separate room. Participants were told that they were engaging in a psychological investigation in which there were no correct or incorrect answers. Date collection lasted three months, from March to May, 2013. All participants provided informed consent before completing the measures (guardians on the behalf of the minors signed the informed consent) and received ¥50 in compensation. The research described in this paper meets the ethical guidelines of Xijing Hospital and has been approved by the ethics committee of the Fourth Military Medical University.

2.2 Instruments

2.2.1 Dispositional optimism (Revised Life Orientation Test (LOT-R)

LOT-R, developed by Scheier, Carver and Bridges, is a 6-item measure (plus 4 filler items) of individual differences in dispositional optimism and pessimism. Items are rated from 1(strongly disagree) to 5(strongly agree) [32]. Examples of items include: “In uncertain times, I usually expect the best”, “If something can go wrong for me, it will”. Scale scores are the sum of items with reverse coding of relevant items. Higher scores reflect a greater tendency to expect more positive outcomes.

2.2.2 Connor–Davidson Resilience Scale (CD-RISC)

The Connor-Davidson Resilience Scale (CD-RISC is a 25-item scale that measures the ability to cope with adversity [33]. Respondents rate items on a scale from 0 (not true at all) to 4 (true nearly all the time), and higher scores reflect greater resilience. Example items include: “I am able to adapt when changes occur”, “I can deal with whatever comes my way” and “I tend to bounce back after illness, injury, or other hardships.” A preliminary study of the psychometric properties of the CD-RISC in general population and patient samples supported its internal consistency, test–retest reliability, and convergent and divergent validity [33].

2.2.3 Subjective well-being measures

Subjective well-being (SWB) is viewed as people's cognitive appraisal and emotional experience of life [34][35]. SWB scale was developed by Diener and Suh, including three sub-scales measuring life satisfaction, positive and negative effect [36]. The Satisfaction with Life Scale consists five items on a 7-point rating scale (from 1 =  strongly disagree to 7 =  strongly agree). Example items include: “In most ways my life is close to my ideal” and “I am satisfied with my life”. Scores are the sum of items with reverse coding of relevant items. Positive and negative effect scales were made up of 6 and 8 words respectively, each describe one kind of positive or negative emotion, like “angry”, “shameful”, “proud”, et al. Participants were asked to respond how often they were in these emotional state on 7-point rating scale (from 1 =  not at all to 7 =  all the time).

2.3 Data Analysis and the Test of Mediating Effect

To be sure of the structural relations of the latent structured model, a two-step procedure introduced by Anderson and Gerbing was adapted to analyses the mediation effect [37]. Firstly, the measurement model was tested to assess the extent to which each of the three latent variables was represented by its indicators. If the confirmatory measurement model is acceptable, then the maximum likelihood estimation would be used to test the structural model in AMOS 17.0 program. The following four indices were used to evaluate the goodness of fit of the model: (a) Chi square statistic (χ2), (b) the Standardized Root Mean Square Residual (SRMR), (c) the Root Mean Square Error of Approximation (RMSEA), and (d) the Comparative Fit Index (CFI) [38][39]. In this study, a model was considered to have a good fit if all the path coefficients were significant at the level of 0.05, SRMR was below 0.08, RMSEA was below 0.08, and CFI was 0.95 or more.

The mediating effect in the current study was tested for a significance by adopted the Bootstrap estimation procedure in AMOS. The reason for not using Sobel test, the commonly employed method for examining the statistical significance of a mediation effect, which involves computing the ratio of products of direct effects to their estimated standard error [40], is that Sobel test requires the products of direct effects follow a normal distribution which is always not accordance with the fact, thus resulted in the reduction of statistical efficacy [41][42]. The bootstrap test implemented by Preacher and Hayes tested the null hypothesis of insignificant indirect effect in another way. It takes the researcher's sample of size N and from it draws with replacement N values of independent, mediating and dependent variables to create a new sample. Repeat the option, for example, 1000 times, and then 1000 estimations of indirect effect estimations can be calculated [43]. The bootstrap test actually relies on the 95% confidence intervals from the empirical distribution of indirect effect estimates and Mackinnon suggested that the bootstrap method yields the most accurate confidence intervals for indirect effects [42], [44].

Results

3.1 Measurement Model

Confirmatory factor analysis was used to exam whether the measurement model fit the sample data adequately or not. The measurement model included three latent constructs and 11 observed variables. An initial test of the measurement model came into being a satisfactory fit to the data: χ2 (39, N = 410) = 124.457, P<0.001; RMSEA = 0.07 and CFI = 0.957. All the factor loadings for the indicators on the latent variables were significant (P<0.001), indicating that the latent construct was well represented by its indicators.

Furthermore, as shown in table 1, correlations of the entire three latent variables, as dispositional optimism, psychological resilience and subjective well being (SWB) were significantly correlated with each other.

Table 1. Inter-correlations between dispositional optimism, psychological resilience and SWB.

Mean SD 1 2
1. Dispositional optimism 15.34 3.07
2. Psychological resilience 67.77 11.66 0.237
3. SWB 76.88 14.01 0.350 0.395

N = 410. All correlation coefficients are significant at p<0.01

3.2 Structural Model

In the first step, the direct effect of the predictor variable (dispositional optimism) on the dependent variable (SWB) without mediators was tested. The directly standardized path coefficient was significantly, β = 0.48, P<0.001. Then, a partially-mediated model (model 1) which contained mediators (psychological resilience) and a direct path from dispositional optimism to SWB was tested. The results showed that the model not very good fit to the data, χ2 (41, N = 410) = 136.929, P<0.001, RMSEA = 0.076, SRMR = 0.050 and CFI = 0.936. However, examination of parameter estimates revealed that the standardized path coefficient from dispositional optimism to SWB and psychological resilience, and from psychological resilience to SWB were all significant. Thus, according to the modification indices in the model 1, model 2 was created by add the correlations of residual terms between resilience1 and resilience2, resilience1 and resilience2.

After adding the correlations of the residual terms, the final meditational model, as shown in Fig. 1, was analyzed. The final meditational model showed a satisfied fitness to the data according to the following indices: χ2 (39, N = 410) = 90.246, P<0.001; RMSEA = 0.058; SRMR = 0.043; and CFI = 0.964. Taken together, those results showed the important role of psychological resilience in the relationship between dispositional optimism and SWB. The effect of dispositional optimism on SWB through psychological resilience was 17.9%.

Figure 1. The full model of optimism, psychological resilience and subjective well-being.

Figure 1

Then the mediating effect was tested by adopted the Bootstrap estimation procedure (a bootstrap sample of 1,500 was specified).As shown in table 2, the direct and indirect effects and their associated 95% confidence intervals revealed that both dispositional optimism and psychological resilience had a direct effect on SWB, in addition, dispositional optimism had an indirect effect on SWB though psychological resilience.

Table 2. Direct and indirect effects and 95% confidence intervals for the final model.

Model pathways Estimated effect Lower bonds Up bonds
Direct effect
Optimism→Resilience 0.289 0.136 0.451
Optimism→SWB 0.411 0.268 0.552
Resilience→SWB 0.314 0.185 0.436
Indirect effect
Optimism→Resilience→SWB 0.091 0.037 0.177

Discussion

This study investigated the concurrent effect of dispositional optimism and psychological resilience on subjective well-being, and examined the mediator effect of psychological resilience on the relationship between dispositional optimism and subjective well-being of burn patients. This study found a positive relationship between optimism and SWB. This finding suggests that burn patients with high optimism are more likely to be capable of recovering from stressful situations and possess high subjective well being.

The finding that dispositional optimism and psychological resilience can positively influence subjective well-being is consistent with those of previous studies [14], [15], [17], [31]. Optimism is a positive psychological quality and individuals with higher dispositional optimism are more likely to have positive expectations of the future and view life events positively. Thus, they are highly satisfied with their life and are likely to amass more positive than negative experiences [13][16]. Psychological resilience is a capacity to recover from frustrations [25]. Individuals with high psychological resilience can easily adjust to the changing environment [26]. Both optimism and resilience are important components of psychological capital, which is regarded as a lasting and stable predictor of SWB [45][47]. Dispositional optimism and psychological resilience are therefore important protection factors of subjective well being.

Based on prior findings, this study mainly focused on the confirmation of the mediation effect of psychological resilience between dispositional optimism and subjective well being. Dispositional optimism and psychological resilience have always been found to be associated; in particular, optimistic individuals are generally known to be capable of recovering from frustrations [30]. Tugade, Fredrickson and Barrett suggested that personality traits are important factors of psychological resilience. Based on the results of the current work [48], we hypothesize that individuals with high dispositional optimism have a strong belief that good things will happen to them. They are thus convinced that a given situation is controllable, and that difficult times will be more convinced that the current situation is controllable and hard time will certainly pass. In other words, the positive expectation of the future is an important source of one's ability to overcome the current difficulties. Thus psychological resilience partially mediates the effect of dispositional optimism on subjective well being. According to the trait congruence effects, people with high positive effect related qualities tend to focus and process positive stimulus [49]. With this attention preference, individuals with high optimism comprehend and view life events in a positive way. Therefore, dispositional optimism can also influence SWB directly.

Burn patients were recruited as participants in the present work because their mental health is known to be influenced greatly by the stress resulting from their burn wounds. The results suggest that although burn patients experience the same traumatic event, those with higher dispositional optimism and stronger psychological resilience will feel little mental suffering and are more likely to recover. To improve the subjective well being and life quality of burn patients, we should adopt interventions that primarily focus on increasing the dispositional optimism and psychological resilience of these patients.

In sum, this study provides insights into the relationships among dispositional optimism, psychological resilience and subjective well being. Dispositional optimism acts as a protective factor by increasing the ability of an individual to recover from frustrations. Such ability has a beneficial effect on SWB. Nevertheless, this study has certain limitations. First, personality is always dependent on culture. As all measures used in this study originate from western countries, some confounding factor caused by cultural difference may be induced. Second, some recent studies have suggested that dispositional optimism is bidimensional and consists of optimism and pessimism factors [50], [51]. In the present study, the Cronbach's alpha coefficient for the LOT-R was only at the barely acceptable level. Considering that this study is only an initial exploration, we still followed the classic method and regarded dispositional optimism as unidimensional. Future studies are strongly suggested to discuss the influences of optimism and pessimism on subjective well being respectively. Thirdly, patients with Head and Face Burns or severe burns were not recruited in adherence to the recommendation of the ethics committee. Nevertheless, we suppose that an individual's mental structure resembles a spring, with resilience only working when the pull strength is not too powerful. An important issue to verify in future studies is whether dispositional optimism and psychological resilience can protect individuals who suffer from severe psychological trauma or fatal frustrations.

Funding Statement

This study was supported by Social Science foundation of the People's Republic of China (13XRK004), Natural Science Grant of Shann'xi Province (2012K18-03-06), and Social Science fund of China (13BGL074). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

  • 1. Hjalmarson A, Goldstein S, Fagerberg B, Wedel H, Waagstein F, et al. (2000) Effects of controlled-release metoprolol on total mortality, hospitalizations, and well-being in patients with heart failure. JAMA 283: 1295–1302. [DOI] [PubMed] [Google Scholar]
  • 2. Flevari P, Livanis EG, Theodorakis GN, Zarvalis E, Mesiskli T, et al. (2002) Vasovagal syncope: a prospective, randomized, crossover evaluation of the effect of propranolol, nadolol and placebo on syncope recurrence and patients' well-being. J Am Coll Cardiol 40: 499–504. [DOI] [PubMed] [Google Scholar]
  • 3. Leuzinger-Bohleber M, Stuhr U, Rüger B, Beutel M (2008) How to study the ‘quality of psychoanalytic treatments’ and their long-term effects on patients' well-being: A representative, multi-perspective follow-up study3. Int J Psychoanalysis 84: 263–290. [DOI] [PubMed] [Google Scholar]
  • 4. Ekblad H, Rönning H, Fridlund B, Malm D (2013) Patients' well-being: experience and actions in their preventing and handling of atrial fibrillation. Eur J Cardiovasc Nur 12: 132–139. [DOI] [PubMed] [Google Scholar]
  • 5. Patterson D R, Carrigan L, Questad K A, Robinson R (1990) Post-traumatic stress disorder in hospitalized patients with burn injuries. J Burn Care Res 11: 181–184. [DOI] [PubMed] [Google Scholar]
  • 6. Tarrier N (1995) Psychological morbidity in adult burns patients: Prevalence and treatment. J Ment Health 4: 51–62. [Google Scholar]
  • 7. Bakker A, Maertens K, Van Son M, Van Loey N (2013) Psychological consequences of pediatric burns from a child and family perspective: A review of the empirical literature. Clin Psycho Rev 33: 361–371. [DOI] [PubMed] [Google Scholar]
  • 8. Holeva V, Tarrier N (2001) Personality and peritraumatic dissociation in the prediction of PTSD in victims of road traffic accidents. J Psychosom Res 51: 687–692. [DOI] [PubMed] [Google Scholar]
  • 9. Scheier ME, Carver CS (1987) Dispositional optimism and physical well-being: The influence of generalized outcome expectancies on health. J Pers 55: 169–210. [DOI] [PubMed] [Google Scholar]
  • 10. El-Anzi FO (2005) Academic achievement and its relationship with anxiety, self-esteem, optimism, and pessimism in Kuwaiti students. Soc Behav Pers 33: 95–104. [Google Scholar]
  • 11. Mäkikangas A, Kinnunen U, Feldt T (2004) Self-esteem, dispositional optimism, and health: Evidence from cross-lagged data on employees. J Res Pers 38: 556–575. [Google Scholar]
  • 12. Ben-Zur H (2003) Happy adolescents: The link between subjective well-being, internal resources, and parental factors. J Youth Adolescence 32: 67–79. [Google Scholar]
  • 13. Chang EC, Sanna LJ (2003) Experience of life hassles and psychological adjustment among adolescents: does it make a difference if one is optimistic or pessimistic?. Pers Indiv Differ, 2003 34(5): 867–879. [Google Scholar]
  • 14. Kapikiran NA (2012) Positive and negative affectivity as mediator and moderator of the relationship between optimism and life satisfaction in Turkish university students. Soc Indic Res 106: 333–345. [Google Scholar]
  • 15. You J, Fung H, Isaacowitz DM (2009) Age differences in dispositional optimism: A cross-cultural study. Eur J Ageing 6: 247–252. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Chang EC, Sanna LJ (2003) Optimism, accumulated life stress, and psychological and physical adjustment: Is it always adaptive to expect the best. J Soc Clin Psychol 22: 97–115. [Google Scholar]
  • 17. Wong SS, Lim T (2009) Hope versus optimism in Singaporean adolescents: Contributions to depression and life satisfaction. Pers Indiv Differ 46: 648–652. [Google Scholar]
  • 18. Boman P, Yates G (2001) Optimism, hostility, and adjustment in the first year of high school. Brit J Educ Psychol 71: 401–411. [DOI] [PubMed] [Google Scholar]
  • 19. Stanley MA, Novy DM, Hopko DR, Beck JG, Averill PM, et al. (2002) Measures of self-efficacy and optimism in older adults with generalized anxiety. Assessment 9: 70–81. [DOI] [PubMed] [Google Scholar]
  • 20. Vickers KS, Vogeltanz ND (2000) Dispositional optimism as a predictor of depressive symptoms over time. Pers Indiv Differ 28: 259–272. [Google Scholar]
  • 21. Mäkikangas A, Kinnunen U, Feldt T (2004) Self-esteem, dispositional optimism, and health: Evidence from cross-lagged data on employees. J Res Pers 38: 556–575. [Google Scholar]
  • 22. Abdel-Khalek A M, Lester D (2007) Religiosity, health, and psychopathology in two cultures: Kuwait and USA. Ment Health, Relig Cult 10: 537–550. [Google Scholar]
  • 23. Kumpfer KL (1999) Outcome measures of interventions in the study of children of substance-abusing parents. Pediatrics 103: 1128–1128. [PubMed] [Google Scholar]
  • 24. Rutter M (1987) Psychosocial resilience and protective mechanisms. Am J Orthopsychiat 57: 316–331. [DOI] [PubMed] [Google Scholar]
  • 25. Block J, Kremen AM (1996) IQ and ego-resiliency: conceptual and empirical connections and separateness. J Pers Soc Psychol 70: 349–361. [DOI] [PubMed] [Google Scholar]
  • 26. Frydenberg E (2004) Coping competencies: What to teach and when. Theor Pract 43: 14–22. [Google Scholar]
  • 27. Waugh CE, Fredrickson BL, Taylor SF (2008) Adapting to life's slings and arrows: Individual differences in resilience when recovering from an anticipated threat. J Res Pers 42: 1031–1046. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Leipold B, Greve W (2009) Resilience: A conceptual bridge between coping and development. Eur Psychol 14: 40–50. [Google Scholar]
  • 29. Klohnen EC (1996) Conceptual analysis and measurement of the construct of ego-resiliency. J Pers Soc Psychol 70: 1067–1079. [DOI] [PubMed] [Google Scholar]
  • 30. Masten AS (2001) Ordinary magic: Resilience processes in development. Am Psycho 56: 227–235. [DOI] [PubMed] [Google Scholar]
  • 31. Wu S, Li J, Zhu Z (2001) Individual resilience and its relationship to social support and mental health of survivors with family members lost in Wenchuan earthquake. Chinese Ment Health J 24: 309–313. [Google Scholar]
  • 32. Scheier MF, Carver CS, Bridges MW (1994) Distinguishing optimism from neuroticism (and trait anxiety, self-mastery, and self-esteem): a re-evaluation of the Life Orientation Test. J Pers Soc Psychol 67: 1063–1078. [DOI] [PubMed] [Google Scholar]
  • 33. Connor KM, Davidson J (2003) Development of a new resilience scale: The Connor-Davidson resilience scale (CD-RISC). Depress Anxiety 18: 76–82. [DOI] [PubMed] [Google Scholar]
  • 34. Diener E, Diener M, Diener C (1995) Factors predicting the subjective well-being of nations. J Pers Soc Psychol 69: 851–864. [DOI] [PubMed] [Google Scholar]
  • 35. Diener E (2000) Subjective well-being: The science of happiness and a proposal for a national index. Am Psychol 55: 34–43. [PubMed] [Google Scholar]
  • 36.Diener E, Suh EM (2000) Culture and subjective well-being. The MIT press.
  • 37. Anderson JC, Gerbing DW (1988) Structural equation modeling in practice: A review and recommended two-step approach. Psychol Bull 103: 411–423. [Google Scholar]
  • 38. Hu L, Bentler PM (1999) Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Struct Equ Modeling 6: 1–55. [Google Scholar]
  • 39. Reise SP, Scheines R, Widaman KF, Haviland MG (2013) Multidimensionality and structural coefficient bias in structural equation modeling: A bifactor perspective. Educ Psychol Meas 73: 5–26. [Google Scholar]
  • 40.Sobel ME (1982) Asymptotic confidence intervals for indirect effects in structural equation models. In S. Leinhardt (Ed.), Sociological Methodology. Washington, D.C.: American Sociological Association.
  • 41. MacKinnon DP, Lockwood CM, Hoffman JM, West SG, Sheets V (2002) A comparison of methods to test mediation and other intervening variable effects. Psychol Methods 7: 83–104. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42. MacKinnon DP, Lockwood CM, Williams J (2004) Confidence limits for the indirect effect: Distribution of the product and resampling methods. Multivar Behav Res 39: 99–128. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43. Preacher KJ, Hayes AF (2004) SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behav Res Methods, Instrum Comput 36: 717–731. [DOI] [PubMed] [Google Scholar]
  • 44. Zhao X, Lynch JG, Chen Q (2010) Reconsidering Baron and Kenny: Myths and truths about mediation analysis. J Consum Res 37: 197–206. [Google Scholar]
  • 45. Headey B, Wearing A (1989) Personality, life events, and subjective well-being: toward a dynamic equilibrium model. J Pers Soc Psychol 57: 731–739. [Google Scholar]
  • 46. DeNeve K M, Cooper H (1998) The happy personality: a meta-analysis of 137 personality traits and subjective well-being. Psychol Bull 124: 197–229. [DOI] [PubMed] [Google Scholar]
  • 47. Larson M, Luthans F (2006) Potential added value of psychological capital in predicting work attitudes. J Leadership Organ Stud 13: 75–92. [Google Scholar]
  • 48. Tugade MM, Fredrickson BL, Feldman Barrett L (2004) Psychological resilience and positive emotional granularity: Examining the benefits of positive emotions on coping and health. J Personality 72: 1161–1190. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49. Rusting CL (1999) Interactive effects of personality and mood on emotion-congruent memory and judgment. J Pers Soc Psychol 77: 107–1086. [DOI] [PubMed] [Google Scholar]
  • 50. Herzberg PY, Glaesmer H, Hoyer J (2006) Separating optimism and pessimism: a robust psychometric analysis of the revised Life Orientation Test (LOT-R). Psychol Assessment 18: 433–438. [DOI] [PubMed] [Google Scholar]
  • 51. Segerstrom SC, Evans DR, Eisenlohr-Moul TA (2011) Optimism and pessimism dimensions in the Life Orientation Test-Revised: Method and meaning. J Res Pers 45: 126–129. [Google Scholar]

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