health: An Interdisciplinary Journal for the Social Study of Health, Illness and Medicine Copyright © 2009 SAGE Publications (Los Angeles, London, New Delhi, Singapore and Washington DC) DOI: 10.1177/1363459308336793 Vol 13(5): 000 –000 Effects of exposure to the suffering of unknown persons on health-related cognitions, and the role of mood Evangelos C. Karademas University of Crete, Greece a b s t r a c t The purpose of the present study was to examine whether exposure to the suffering of unknown persons, as an inevitable part of life, influences cognitions about health. Our assumption was that exposure to suffering affects cognitions in a negative way, as well as this influence being exerted directly and through negative mood. Eighty-nine participants were randomly assigned to two groups. The experimental group was exposed to a series of photos presenting situations of human suffering, whereas the control group was exposed to a series of photos showing relaxing situations. Participants in the experimental group reported higher health anxiety and health value, and lower internal health locus of control, in comparison to the control group. No differences were found in self-rated health. Exposure to suffering affected cognitions directly and through decrease in positive mood. It seems that an ‘in vitro’ exposure to human suffering activates a cognitive and emotional reaction, which affects evaluations about self and personal well-being. keywords health cognitions; human suffering; mood a d d r e s s Evangelos C. Karademas, Department of Psychology, University of Crete, 74100, Gallos, Rethymnon, Greece. [Tel. +30 28310 77532; fax: +30 28310 77578; e-mail: [email protected]] Introduction Health cognitions, such as health locus of control or health value, are associated with health-related behaviors, health status and well-being (e.g. Pennebaker and Watson, 1988; Benyamini and Idler, 1999), and they form a central topic in health psychology theories (see, for example, Martin and Leventhal, 2004). Health cognitions are determined by a series of factors: demographic variables; personality; the social environment; personal experiences; emotions and so on (Smith and Ruiz, 2004). One such factor is 1 HEA336793.indd 1 5/11/2009 11:56:48 AM Process Black health: 13(5) exposure to suffering. There is research suggesting that personal suffering, as a result of major personal difficulties or exposure to traumatic events, is negatively related to health and health cognitions (Brewin et al., 2000; Miller, 2005). Also, the exposure to the suffering of close persons (such as the experience of living with an ill person) is negatively associated with health cognitions (Benyamini et al., 2003). However, a question arises: is also exposure to the suffering of unknown others associated with beliefs about personal health? The purpose of the present, explorative in nature, study is to examine whether exposure to suffering of unknown persons influ ences certain health cognitions. The examination of this relationship will help us understand the association between exposure to human affliction, as an inevitable part of life, and health cognitions, as important aspects of well-being. Human suffering and well-being Almost every philosophical or spiritual endeavor constitutes a significant effort to come to terms with human suffering (Miller, 2005). Human suffering involves the horrible problems and life experiences that can provoke pain, great distress and considerable difficulties (Miller, 2005; Honkasalo, 2006). Therefore, suffering has been used as a synonym for pain, loss and grief. Arthur Kleinman (1988) defined suffering as an inter-subjective experience of affliction, resulting from either major dramatic events or everyday life. Suffering takes place in relation to threats towards important things in life, such as health and well-being, close relationships, personal worth and ability to function (Kleinman, 1999). Suffering is also closely related to the experience of morality, both in the sense of doing something wrong (e.g. intentional harm to others), and in the sense of feelings of compassion towards sufferers (Miller, 2005). Personal suffering and exposure to the suffering of other people may shake personal worldviews (e.g. beliefs to a just or predictable world; JanoffBulman, 1992), and modify beliefs and perceptions about self (KoltkoRivera, 2004), through many possible pathways. For example, suffering resulting from a disaster could act as a reminder or even a verification of uncertainty and fragility of life, thus, affecting emotion and thoughts (e.g. Greco and Roger, 2003). Exposure to suffering could also act as a reminder of an ‘unfair treatment’, a feeling negatively related to health and related beliefs (Guyll et al., 2001), or as a threat to self-concept (Crocker et al., 1998). In addition, reactions to others’ suffering could be explained in part through empathic engagement (Figley, 1995). Empathy is a process that leads to several emotional and cognitive reactions (Davis, 1983), and it is stronger when the person is confronted with the vulnerability of the sufferers (Regehr et al., 2002). Overall, exposure to suffering appears to precipitate a crisis of personal and social meaning (Wilkinson, 2006), while it also seems to affect personal perceptions about self and the world 2 HEA336793.indd 2 5/11/2009 11:56:50 AM Process Black Karademas: Effects of Exposure to the Suffering of Unknown Persons (Kleinman, 1988). Besides these, however, there is evidence suggesting that exposure to the suffering of others results in significant amounts of negative emotions (Kleinman, 1999). Exposure to the suffering of other people, emotions and health cognitions Lang et al. (2000) recently presented a series of findings according to which aversive sensory, representational input (such as pictures or sounds) can directly activate emotional networks in the brain. These emotional networks mediate a broad range of physiological and behavioral events, such as evaluative judgments, heart rate, cortical-related events and so on. In other words, exposure to stimuli of danger or harm, even if brief or of low clarity, can provoke a ‘startle’ reaction, which involves negative emotions and thoughts. However, since people use their emotional state as a source of information about their current condition (Schwarz and Clore, 1996), then emotion might be another pathway through which exposure to suffering leads to changes in perceptions. According to many correlational studies, positive emotions are related to more positive evaluations about current and future personal health, whereas negative emotions are related to more negative evaluations and overestimation of vulnerability (see Mayne, 2001, for a review). Additionally, three experimental studies (Croyle and Uretzky, 1987; Salovey and Birnbaum, 1989; Abele and Hermer, 1993) have examined the issue. In general, they showed that the induction of a negative mood was related to more negative health-related appraisals and greater discomfort. On the other hand, Gendolla et al. (2005), in a combination of correlational and experimental studies, found that negative mood promotes symptoms experience only when combined with self-focus, whereas Barger et al. (2007) found no relation between induced mood and global self-rated health or reported symptoms. The present study Despite the importance of human suffering regarding the ways people perceive the world and self, no study to our knowledge has ever examined the impact of exposure to suffering of unknown persons on cognitions about personal health. The present study aims in examining this relationship. The nature of this study is explorative. However, based on the abovementioned studies, we assume that exposure to the suffering of distant people affects health-related thoughts (i.e. health anxiety, health value, health locus of control and self-rated health). We also assume that this influence is exerted both directly and through negative mood. In order to test our assumptions, we performed an experimental design, in which two 3 HEA336793.indd 3 5/11/2009 11:56:50 AM Process Black health: 13(5) groups of participants were exposed to a series of either suffering-related stimuli (experimental group) or relaxing stimuli (control group). Method Participants Participants were 89 healthy undergraduate students (57 females and 32 males; all were white, Caucasian, coming from families of middle socioeconomic status; mean age = 21.34 years, SD = 3.21). They were randomly assigned to two groups, the first of which was exposed to images (photos) of human suffering, whereas the second was exposed to relaxing images. Students were recruited through announcements in class and participated voluntarily. Suffering-related and relaxing images A series of 25 photos were presented to each group. The experimental group was exposed to photos of natural and manmade disasters, ruin and grief. These photos were derived from a larger pool of 80 photos downloaded from the official websites of major broadcasting networks. This initial pool of photos was displayed to a small group of three post-graduate students, who were asked to rate the degree to which each image was ‘representative of human suffering, that is situations which provoke great pain and distress to those involved’. They used a scale ranging from 1 (not representative at all) to 10 (extremely representative). The 25 images with the higher mean rating were included in the experiment. Using the same procedure, from an equal initial pool of photos presenting relaxing situations, the 25 with the highest mean rating were included in the experiment. The set of sufferingrelated images consisted of five photos showing accidents or explosions (e.g. a car accident with victims), five photos of war acts (e.g. wounded persons), four photos of natural disasters (e.g. a demolished house), four photos of human misery (e.g. malnourishment), three photos of people grieving, two photos of terrorism acts, as well as two photos of violenceinvolving situations (e.g. a violent confrontation between demonstrators and the police). The set of relaxing images consisted of six photos showing friends in several activities (e.g. playing music; in a bar), five photos of parents with their kids or kids alone, four photos of calming down activities (e.g. swimming), four photos of beautiful scenery, two photos of couples in relaxing activities (e.g. walking by the beach), two photos of people playing with animals, as well as two photos of sportive activities (e.g. playing football). Measures Health anxiety Health anxiety was assessed with the relevant scale from the Multidimensional Health Questionnaire (Snell and Johnson, 1997). The scale consists of five items (e.g. I feel anxious when I think about my 4 HEA336793.indd 4 5/11/2009 11:56:51 AM Process Black Karademas: Effects of Exposure to the Suffering of Unknown Persons health; Cronbach α = .83). Participants responded on a five-point Likert type scale ranging from 1 (‘not at all characteristic of me’) to 5 (‘very characteristic of me’). Health value The Health Value Scale (Lau et al., 1986) was used to assess the value attached to health. It is a four-item scale (e.g. There is nothing more important than good health; Cronbach α = .65). Participants responded using a seven-point Likert type scale ranging from 1 (‘strongly agree’) to 7 (‘strongly disagree’). Health locus of control Health locus of control was measured with the Multidimensional Health Locus of Control Scale (Wallston et al., 1978). The scale consists of 18 items and provides measures of three dimensions of health locus of control: internal (six items, e.g. I am in control of my health; Cronbach α = .74), chance (six items, e.g. My good health is largely a matter of good fortune; Cronbach α = .75) and powerful other (six items, e.g. Health professionals control my health; Cronbach α = .61). Participants responded on a six-point Likert type scale ranging from 1 (‘strongly disagree’) to 6 (‘strongly agree’). Self-rated health Participants were asked to rate their current physical health status using a scale ranging from 1 (worst possible health) to 100 (best possible health). Positive and negative mood Mood was assessed with the Positive and Negative Affectivity Schedule (PANAS; Watson et al., 1988), which consists of 10 adjectives describing negative mood (e.g. distressed, ashamed; Cronbach α = .90) and 10 adjectives describing positive mood (e.g. interested, inspired; Cronbach α = .86). Participants responded on a fivepoint Likert type scale ranging from 1 (‘very slightly or not at all’) to 6 (‘extremely’). Procedure The experiment was ‘advertised’ in class as involving reactions to certain visual stimuli. At the day of the experiment ninety-three (93) students showed up and were administered a set of questionnaires (i.e. health value, health anxiety, health locus of control, self-rated health, current mood). They were instructed to complete the questionnaires having in mind their thoughts and feelings at that particular moment. They were also asked about their current and recent health status. Four students who reported a recent or current health problem were excluded from the procedure. Thus, 89 participants were randomly assigned to the experimental or the control group. Participants were seated in a quiet square room, at separate desks behind a data projector that projected against the wall. Desks were 5 HEA336793.indd 5 5/11/2009 11:56:51 AM Process Black health: 13(5) separated with dividers so that participants could not interact with each other. The distance between the desks and the projection point was about 3.5 meters. When seated, participants were instructed to make themselves comfortable, relax and stay quiet with their eyes shut for about two minutes. After that period, the presentation commenced. Each photo was projected for 10 seconds. Participants in both groups were instructed to carefully watch and reflect on the projected photos. No other instruction was provided. At the end of the presentation, participants were asked to complete the same set of questionnaires, having in mind their thoughts and feelings at that particular moment. After that, all participants received information about the nature, the purpose and the procedures of the study to exclude the possibility of a longer negative impact of the procedure (especially, of the exposure to the suffering-related images). It should be noted that the study was conducted in accordance with the ethical standards adopted by the European Federation of Psychologists’ Association (available at http://www.efpa.be/ethics.php). Results Preliminary results A one-way multivariate analysis of variance (MANOVA) across all variables assessed before the experiment with group as the independent variable was performed. No significant differences were observed (Wilks λ = .89; F(8, 80) = 1.30, p > .05). The means and standard deviations of all variables, before and after the experiment, are presented in Table 1. Also, in order to identify possible gender differences, we performed another MANOVA with gender as the independent variable. No significant Table 1 Means and standard deviations of the health cognitions and mood before and after the experiment Experimental group Control group Before Before After After Self-rated health 85.04 (8.10) 85.82 (8.17) 86.73 (8.28) 86.75 (8.99) Health anxiety 13.22 (2.41) 15.13 (3.47) 14.11 (4.04) 13.04 (4.22) Health value 21.67 (3.18) 22.76 (3.49) 20.29 (3.53) 19.63 (4.31) HLoC – Internal 23.76 (3.99) 21.18 (2.79) 24.98 (3.83) 25.66 (3.34) HLoC – Chance 17.51 (4.86) 17.56 (5.51) 17.41 (3.18) 17.27 (3.66) HLoC – Significant other 19.44 (4.12) 20.33 (3.90) 19.68 (3.89) 19.91 (4.52) Positive mood 28.98 (6.03) 24.40 (6.26) 27.25 (5.26) 30.95 (5.19) Negative mood 20.89 (4.28) 24.62 (7.83) 20.20 (3.14) 18.11 (7.23) Note: HLoC = Health locus of control. Standard deviations are presented in parentheses. 6 HEA336793.indd 6 5/11/2009 11:56:51 AM Process Black Karademas: Effects of Exposure to the Suffering of Unknown Persons gender differences were found (Wilks λ = .94; F(8, 80) = .67, p > .05). Thus, all subsequent analyses were pooled over gender. Impact of exposure to suffering on health cognitions and mood In order to test our assumptions, the mean differences due to the experiment manipulations were examined. Results indicated that those exposed to images of suffering reported more negative mood (t (87) = 4.07, p < .01, effect size r = .40 (Rosnow and Rosenthal, 1998)), whereas those exposed to relaxing stimuli reported more positive mood (t (87) = 5.37, p < .01, effect size r = .50). Participants exposed to images of suffering also reported higher anxiety (t (87) = 2.55, p < .05, effect size r = .26), higher value attached to health (t (87) = 3.70, p < .01, effect size r = .37) and lower internal health locus of control (t (87) = 6.87, p < .01, effect size r = .59). There were no differences regarding the other two dimensions of locus of control, chance (t (87) = .28, p > .05, effect size r = .03) and significant other (t (87) = .47, p > .05, effect size r = .05). Also, no significant differences were found in self-rated health ratings (t (87) = .51, p > .05, effect size r = .05). Paired t-tests were used to test the mean differences within groups before and after exposure to images. Participants in the experimental group reported higher health anxiety (t (44) = 4.37, p < .01, effect size r = .55), higher health value (t (44) = 2.86, p < .01, effect size r = .40), but lower internal health locus of control (t (44) = 3.49, p < .01, effect size r = .47) after the experiment (see Figures 1–3). They also reported lower positive mood (t (44) = 3.67, p < .01, effect size r = .48) and higher negative mood (t (44) = 2.73, p < .01, effect size r = .38). On the other hand, participants exposed to relaxing images reported lower health anxiety (t (43) = 2.07, p < .05, effect size r = .30), and higher positive mood (t (43) = 2.96, p < .01, effect size r =.40). No other significant differences were found. Figures 1–3 Health anxiety, health value and internal locus of control before and after the experiment Note: HLoC = Health locus of control. 7 HEA336793.indd 7 5/11/2009 11:56:51 AM Process Black health: 13(5) Table 2 Descriptive statistics and intercorrelations of group, health cognitions and mood Variable 1 1. Group 1.00 2. Self-rated health 2 3 4 .05 1.00 3. Health anxiety –.26* –.17 4. Health value –.37** .03 .14 1.00 .49** –.04 –.11 5. HLoC – Internal 5 –.15 1.00 –.03 .04 .29** .08 –.01 7. HLoC – Other –.05 –.03 .28** .33** .44** .02 9. Negative mood –.35** –.10 Mean 1.49 SD .50 –.31** –.11 .22* 86.28 14.10 8.55 7 8 9 1.00 6. HLoC – Chance 8. Positive mood 6 3.98 .19 .42** 1.00 .05 1.00 –.10 .01 1.00 .12 –.18 .15 –.07 21.17 23.39 17.42 20.12 27.64 –.24* 21.40 1.00 4.13 3.80 4.67 4.20 6.61 8.18 Note: HLoC = Health locus of control. SD = Standard deviation. Group coding: 1 = experimental, 2 = control. *p < .05; **p < .01. Direct and indirect influence of exposure to suffering on health cognitions The intercorrelations of all variables included in the study are presented in Table 2. With respect to mood, significant correlations were identified between positive mood and the group (Pearson r = .44, p < .01), health anxiety (Pearson r = –.31, p < .01) and internal locus of control (Pearson r = .42, p < .01). There was also a significant negative correlation between negative mood and the group (Pearson r = –.35, p < .01), as well as a significant positive correlation between negative emotion and health anxiety (Pearson r = .22, p < .05). Our second assumption was tested through the application of Structural Equation Modeling employing LISREL 8.54 (Joreskog and Sorbom, 1993). Only those health cognitions with significant mean differences between the exposure and the control groups were included in the analysis. According to the model tested, group was assumed to predict positive and negative mood, health anxiety, health value and internal locus of control, whereas health anxiety, value and locus of control were also assumed to be predicted by both positive and negative mood. The model provided a fit to the data. The chi-square was not significant (χ2(4) = 1.96, p = .74), while statistical indices were indicative of a very good fit (AGFI = .96, NFI = .98, CFI = 1.00, RMSEA = 0.0). Figure 4 displays the standardized estimates of the model. Non-significant estimates are not presented. Results showed that group predicted both negative and positive mood. Group directly predicted health value and internal locus of control, in a positive and a negative way, respectively. Positive emotion predicted health anxiety negatively 8 HEA336793.indd 8 5/11/2009 11:56:51 AM Process Black Karademas: Effects of Exposure to the Suffering of Unknown Persons Figure 4 Path analysis between group, health cognitions and mood, and β-coefficients Note: Group coding: 1 = experimental, 2 = control. R2health value = .14; R2health anxiety = .12; R2internal = .29. Only significant paths are being presented. locus of control and internal locus of control positively, whereas negative emotion did not predict any health cognition. Discussion The purpose of the present experimental study was to examine whether exposure to suffering of unknown persons affects cognitions about personal health. According to our findings, exposure to unknown others’ suffering seems to result in higher health anxiety, higher value attached to health and lower internal health locus of control, in comparison to exposure to relaxing images. Also, more health anxiety and negative mood, higher health value and lower internal health locus of control and positive mood were reported by the participants exposed to suffering-related stimuli after the experiment. In many cases, exposure to human suffering results in shattered perceptions about safety and controllability, which in turn are responsible for further negative thoughts and behaviors (e.g. Freedy et al., 1993). Moreover, vicarious experiences with threatening situations increase the perceived likelihood of and perceived susceptibility to a threat (Wardle, 1995). In other words, exposure to the suffering of distant persons could act as a cue of a threatening world or a vulnerable self, affecting, thus, perceptions about personal health. When exposed, persons consider the value of health, worry about it, but feel less able to exert personal control. Such responses are more or less typical of a stress reaction, when a situation is appraised as dangerous and the ability to cope with it is questioned (Ursin and Eriksen, 2004). Furthermore, the findings of the present study could be explained within the theoretical framework of social comparison. The automatic process of comparing the self and personal characteristics with others is found not only in humans (Buunk and Gibbons, 2007), but also in many other species (Gilbert et al., 1995). Self-evaluations are affected by social comparison in multiple ways (Mussweiller, 2003), while there is evidence 9 HEA336793.indd 9 5/11/2009 11:56:51 AM Process Black health: 13(5) that social comparison makes relevant cognitive material more easily accessible (Buunk et al., 2001). As Mussweiller (2003) noted, sometimes the result of a social comparison is assimilation toward a given standard (i.e. more positive reactions, in accordance to the characteristics of others), whereas other times the result is a contrast effect (i.e. more negative evaluations about self, in contrast to the characteristics of the others). In five studies, Mussweiller et al. (2004) showed that assimilation results if persons selectively focus on similarities to the standard, whereas contrast occurs if persons focus on differences. In other words, it is possible that through social comparison mechanisms, exposure to suffering renders information about self and personal well-being more easily accessible. At the same time, it is possible that individuals, when exposed to suffering, focus on similarities with the sufferers, thus, assimilating their self-evaluations (i.e. more negative evaluations about personal control). In that case, a key factor that makes persons focus on similarities rather than on differences might be empathy. Several studies have demonstrated that perception of a specific behavior or emotion in another person automatically activates a representation of that behavior or emotion, which in turn prompts the observer to resonate with the emotional state of the other (Carr et al., 2003; Jackson et al., 2006). In addition, Jackson et al. (2006) argue that seeing another person suffer in a naturalistic context can signify a danger and promote a withdrawal response. On the contrary, in controlled conditions (e.g. during a laboratory experiment) the observation may not signal a threat. In fact, as Jackson et al. (2006) underline, such situations favor prosocial responses and attitudes toward the suffering person. In our case, this might suggest that observing human suffering from a ‘safe distance’ can provoke an empathetic reaction (i.e. negative emotions), as well as a focus on the similarities with the suffering others, which in turn affects the results of the automatic social comparison processes. It is worth noting, however, that exposure to suffering did not affect self-rated health. Previous experiments showed that the induction of a negative state (i.e. negative mood) resulted in lower self-rated health or more perceived symptoms (e.g. Croyle and Uretzky, 1987; Salovey and Birnbaum, 1989). On the contrary, Barger et al. (2007) found no relation between negative mood and self-rated health. The results of our study are in accordance with the latter findings. A possible explanation might be that self-rated health represents a central and more elaborated self-conception not affected by situational factors (Sedikides, 1995). Regarding our assumption that exposure affects health cognitions directly, as well as through negative mood, results were surprising. Exposure to suffering was indeed directly related to internal locus of control and health value. It was also related to health anxiety and internal locus of control through mood. It was, however, positive mood that accounted for this relationship, and not negative mood as assumed. 10 HEA336793.indd 10 5/11/2009 11:56:51 AM Process Black Karademas: Effects of Exposure to the Suffering of Unknown Persons The role of positive mood is, of course, crucial. Positive emotional states have repeatedly been related to health, symptoms perception and other health cognitions (e.g. Salovey et al., 2000; Fredrickson and Losada, 2005; Pressman and Cohen, 2005). The findings of the present study also underline the role of positive mood by showing that changes in cognitions took place through decrease in positive emotion. Yet, the puzzle remains. According to our findings, exposure to suffering also led to more negative emotions, but these were not actually related to health cognitions, contrary to the results of previous studies. A possible explanation might be that negative emotions are not undifferentially associated with all type of cognitions. Each emotion has a distinct role in human functioning and may affect different cognitions under different circumstances. It is worthy of note that positive and negative mood do not lie on the same continuum. They are strongly related, but independent and not always opposite variables (Clark and Watson, 1991). In any case, further research is needed to clarify this issue. Overall, our findings showed that health cognitions are subject not just to personal experiences or close social influences, but also to events that take place in the broader context. The ways we perceive our well-being, or at least some aspects of if, are possibly connected to the perception of the well-being of others. It seems that exposure to human suffering activates a cognitive and emotional reaction, which affects evaluations about self and personal well-being. In fact, almost every day people are bombarded with stimuli of human suffering (for example, through the media; McCleneghan, 2002), as well as with distressing messages showing people suffering from an array of diseases (Førde, 1998). Eventually, it is possible that the ways people think about their health are affected. Moreover, it is possible that exposure to the suffering of others in real life also affects the ways we view ourselves and the world. As mentioned before, such experiences may represent signals of a threatening world and/or a vulnerable self and, thus, alter self-perceptions and worldview (Freedy et al., 1993; KoltkoRivera, 2004). Of course, these reactions are probably influenced by the frequency, the duration and the intensity of the exposure or mediated by several personal and social factors. Future research will have to look into this issue, while studies on personal exposure to major stressful events, such as disasters and war conflicts, might provide some ideas regarding these relationships (Schnurr and Green, 2004). Some limitations to this study should be noted. No measures of participants’ cognitive reactions to the exposure to suffering were obtained and consequently, other specific pathways through which exposure impacts health cognitions, besides positive and negative mood, remain unidentified. A future study could provide interesting findings about this issue. Additionally, our study does not address whether exposure to suffering impacts health cognitions in the ‘real world’, outside a laboratory context. We used several mild stimuli of dramatic events; but in everyday life, stimuli are constantly mixed with other types of stimuli (relaxing, neutral, more or less distressing ones) that come from diverse sources and include a 11 HEA336793.indd 11 5/11/2009 11:56:52 AM Process Black health: 13(5) variety of themes. Moreover, in this study the stimuli used related to situations unfamiliar to most participants. In real life conditions, an array of perceptual and cognitive-emotional processes, as well as situational factors and personal characteristics interact. Field studies are needed to validate our results and further examine the associations found in this study. References Abele, A. and Hermer, P. (1993). Mood influences on health-related judgments: Appraisals of own health versus appraisal of unhealthy behaviours. European Journal of Social Psychology, 23(6), 613–25. Barger, S.D., Burke, S.M. and Limbert, M.J. (2007). Do induced moods really influence health perceptions? Health Psychology, 26(1), 85–95. Benyamini, Y. and Idler, E.L. (1999). Community studies reporting association between self-rated health and mortality: Additional studies, 1995–1998. Research on Aging, 21(3), 392–401. Benyamini, Y., McClain, C.S., Leventhal, E.A. and Leventhal, H. (2003). Living with the worry of cancer: Health perceptions and behaviors of elderly people with self, vicarious, or no history of cancer. Psycho-Oncology, 12(2), 161–72. Brewin, C.R., Andrews, B. and Valentine, J.D. (2000). Meta-analysis of risk factors for posttraumatic stress disorder in trauma-exposed adults. Journal of Consulting and Clinical Psychology, 68(5), 748–66. Buunk, A.P. and Gibbons, F.X. (2007). Social comparison: The end of theory and the emergence of a field. Organizational Behavior and Human Decision Processes, 102(1), 3–21. Buunk, A.P., Oldersma, F.L. and de Dreu, C.K.W. (2001). Enhancing satisfaction through downward comparison: The role of relational discontent and individual differences in social comparison orientation. Journal of Experimental Social Psychology, 37(6), 452–67. Carr, L., Iacoboni, M., Dubeau, M.C., Mazziotta, J.C. and Lenzi, G.L. (2003). Neural mechanisms of empathy in humans: A relay from neural systems for imitation to limbic areas. Proceedings of the National Academy of Science, 100(9), 5497–502. Clark, L.A. and Watson, D. (1991). General affective dispositions in physical and psychological health. In C.R. Snyder and D.R. Forsyth (Eds.), Handbook of social and clinical psychology: The health perspective, pp. 221–45. New York: Pergamon. Crocker, J., Major, B. and Steele, C. (1998). Social stigma. In D.T. Gilbert and S.T. Fiske (Eds.), Handbook of social psychology, vol. 2, 4th edn, pp. 504–53. New York: McGraw-Hill. Croyle, R.T. and Uretzky, M.D. (1987). Effects of mood on self-appraisal of health status. Health Psychology, 6(3), 239–53. Davis, M. (1983). Measuring individual differences in empathy: Evidence for a multidimensional approach. Journal of Personality and Social Psychology, 44(1), 113–26. Figley, C. (1995). Compassion fatigue: Towards a new understanding of the costs of caring. In B. Stamm (Ed.), Secondary traumatic stress: Self-care issues for clinicians, researchers, and educators, pp. 3–28. Lutherville, MD: Sidran Press. Førde, O.H. (1998). Is imposing risk awareness cultural imperialism? Social Science and Medicine, 47(9), 1155–9. 12 HEA336793.indd 12 5/11/2009 11:56:52 AM Process Black Karademas: Effects of Exposure to the Suffering of Unknown Persons Fredrickson, B.L. and Losada, M.F. (2005). Positive affect and the complex dynamics of human flourishing. American Psychologist, 60(7), 678–86. Freedy, J.R., Kilpatric, D.G. and Resnick, H.S. (1993). Natural disasters and mental health: Theory, assessment, and intervention. Journal of Social Behavior and Personality, 8(5), 49–103. Gendolla, G.H.E., Abele, A.E., Andrei, A., Spark, D. and Richter, M. (2005). Negative mood, self-focused attention, and the experience of physical symptoms: The Joint Impact Hypothesis. Emotion, 5(2), 131–44. Gilbert, P., Price, J. and Allan, S. (1995). Social comparison, social attractiveness and evolution: How might they be related? New Ideas in Psychology, 13(2), 149–65. Greco, V. and Roger, D. (2003). Uncertainty, stress and health. Personality and Individual Differences, 34(6), 1957–1068. Guyll, M., Matthews, K.A. and Bromberger, J.T. (2001). Discrimination and unfair treatment: Relationship to cardiovascular reactivity among African American and European American women. Health Psychology, 20(5), 315–25. Honkasalo, M.L. (2006). Fragilities in life and death: Engaging in uncertainty in modern society. Health, Risk and Society, 8(1), 27–41. Jackson, P.L., Rainville, P. and Decety, J. (2006). To what extent do we share the pain of others? Insight from the neural bases of pain empathy. Pain, 125(1), 5–9. Janoff-Bulman, R. (1992). Shattered assumptions: Towards a new psychology of trauma. New York: Free. Joreskog, K.G. and Sorbom, D. (1993). LISREL 8 user’s guide. Lincolnwood, IL: Scientific Software International. Kleinman, A. (1988). The illness narratives: Suffering, healing and the human condition. New York: Basic Books. Kleinman, A. (1999). From one human nature to many human conditions: An anthropological inquiry into suffering as moral experience in a disordering age. The Finish Anthropologist, 14(1), 23–36. Koltko-Rivera, M.E. (2004). The psychology of worldviews. Review of General Psychology, 8(1), 3–58. Lang, P.J., Davis, M. and Öhman, A. (2000). Fear and anxiety: Animal models and human cognitive psychophysiology. Journal of Affective Disorders, 61(3), 137–59. Lau, R.R., Hartman, K.A. and Ware, J.E. (1986). Health as a value: Methodological and theoretical considerations. Health Psychology, 5(1), 25–43. Martin, R. and Leventhal, H. (2004). Symptom perception and health care-seeking behavior. In T.J. Boll, J.M. Raczynski and L.C. Leviton (Eds.), Handbook of clinical health psychology, vol. 2, pp. 299–328. Washington, DC: American Psychological Association. Mayne, T.J. (2001). Emotions and health. In T.J. Mayne and G.A. Bonanno (Eds.), Emotions: Current issues and future directions, pp. 361–97. New York: Guilford. McCleneghan, J.S. (2002). ‘Reality violence’ on TV news: It began with Vietnam. Social Science Journal, 39(4), 593–8. Miller, R.B. (2005). Suffering in psychology: The demoralization of psychotherapeutic practice. Journal of Psychotherapy Integration, 15(3), 299–336. Mussweiller, T. (2003). Comparison processes in social judgment: Mechanisms and consequences. Psychological Review, 110(3), 472–89. Mussweiller, T., Rüter, K. and Epstude, K. (2004). The ups and downs of social comparison: Mechanisms of assimilation and contrast. Interpersonal Relations and Group Processes, 87(6), 832–44. 13 HEA336793.indd 13 5/11/2009 11:56:52 AM Process Black health: 13(5) Pennebaker, J.W. and Watson, D. (1988). Blood pressure estimation and beliefs among normotensives and hypertensives. Health Psychology, 7(4), 309–28. Pressman, S.D. and Cohen, S. (2005). Does positive affect influence health? Psychological Bulletin, 131(6), 925–71. Regehr, C., Goldberg, G. and Hughes, J. (2002). Exposure to human tragedy, empathy, and trauma in ambulance paramedics. American Journal of Orthopsychiatry, 72(4), 505–13. Rosnow, R.L. and Rosenthal, R. (1998). Focused tests of significance and effect size estimation in counselling psychology. Journal of Counseling Psychology, 35(2), 203–8. Salovey, P. and Birnbaum, D. (1989). Influence of mood on health-relevant cognitions. Journal of Personality and Social Psychology, 57(3), 539–51. Salovey, P., Rothman, A.J., Detweiler, J.B. and Steward, W.T. (2000). Emotional states and physical health. American Psychologist, 55(1), 110–21. Schnurr, P.P. and Green, B.L., Eds. (2004). Trauma and health: Physical health consequences of exposure to extreme stress. Washington, DC: American Psychological Association. Schwarz, N. and Clore, G.L. (1996). Feelings and phenomenal experiences. In E.T. Higgins and A.W. Kruglanski (Eds.), Social psychology: Handbook of basic principles, pp. 433–65. New York: Guilford. Sedikides, C. (1995). Central and peripheral self-conceptions are differentially influenced by mood: Tests of the Differential Sensitivity Hypothesis. Journal of Personality and Social Psychology, 69(4), 759–77. Smith, T.W. and Ruiz, J.M. (2004). Personality theory and research in the study of health and behavior. In T.J. Boll, R.G. Frank, A. Baum and J.L. Wallander (Eds.), Handbook of clinical health psychology, vol. 3, pp. 143–99. Washington, DC: American Psychological Association. Snell, W.E. and Johnson, G. (1997). The Multidimensional Health Questionnaire. American Journal of Health Behavior, 21(1), 33–42. Ursin, H. and Eriksen, H.R. (2004). The cognitive activation theory of stress. Psyc honeuroendocrinology, 29(5), 567–92. Wallston, K.A., Wallston, B.S. and DeVellis, R. (1978). Development of the multidimensional health locus of control (MHLC) scales. Health Education Monographs, 6(2), 161–70. Wardle, J. (1995). Women at risk of ovarian cancer. Journal of the National Cancer Institute Monographs, 17, 81–5. Watson, D., Clark, L.A. and Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect: The PANAS scales. Journal of Personality and Social Psychology, 54(6), 1063–70. Wilkinson, I. (2006). Health, risk and ‘social suffering’. Health, Risk and Society, 8(1), 1–8. Author biography evangelos c. karademas is an assistant professor of health psychology at the Department of Psychology, University of Crete, Greece. His main area of interest is individual differences in health, illness and quality of life. Much of his work focuses on the socio-cognitive factors affecting health and illness, as well as stress and adaptation to stress. 14 HEA336793.indd 14 5/11/2009 11:56:52 AM Process Black
© Copyright 2026 Paperzz