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Journal articles on the topic 'Trait hostility'

Author: Grafiati

Published: 4 June 2021

Last updated: 11 February 2022

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1

Taylor, Nicholas D., Gary D. Fireman, and Ross Levin. "Trait Hostility, Perceived Stress, and Sleep Quality in a Sample of Normal Sleepers." Sleep Disorders 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/735812.

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Objective. To date, no studies have directly examined the effects of cognitive trait hostility on prospectively assessed sleep quality. This is important as individuals with heightened trait hostility demonstrate similar patterns of reactivity to perceived stressors as is often reported by poor sleepers. The present study hypothesized that increased trait hostility is associated with poorer subjective sleep quality and that perceived stress mediates this relationship.Methods. A sample of 66 normal sleepers completed daily sleep and stress logs for two weeks. Trait hostility was measured retrospectively.Results. The cognitive dimension of trait hostility was significantly correlated with subjectively rated sleep quality indicators, and these relationships were significantly mediated by perceived daily stress. Individuals with higher levels of trait cognitive hostility reported increased levels of perceived stress which accounted for their poorer sleep ratings as measured by both retrospective and prospective measures.Conclusions. Overall, the findings indicate that high levels of cognitive hostility are a significant risk factor for disturbed sleep and suggest that this might be a fruitful target for clinical intervention.

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2

Song, Eun Kyeung, Youn-Jung Son, and Terry A. Lennie. "Trait Anger, Hostility, Serum Homocysteine, and Recurrent Cardiac Events After Percutaneous Coronary Interventions." American Journal of Critical Care 18, no. 6 (2009): 554–61. http://dx.doi.org/10.4037/ajcc2009974.

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Background Trait anger, hostility, and serum level of homocysteine are associated with recurrent cardiac events after percutaneous coronary interventions. However, whether trait anger or hostility influences the association between serum level of homocysteine and recurrent cardiac events is unknown. Objectives To examine the relationships among trait anger, hostility, serum level of homocysteine, and recurrent cardiac events after percutaneous coronary interventions. Methods This prospective study included 135 consecutive patients (68% male, mean age 61 [SD, 10] years) undergoing percutaneous coronary interventions during an index hospitalization. Trait anger and hostility were measured with the Spielberger Trait Anger Scale and the Cynical Hostility Scale, respectively. Blood samples were obtained to measure serum levels of total cholesterol, triglycerides, high- and low-density lipoprotein cholesterol, and homocysteine. Recurrent cardiac events (emergency department visits and rehospitalization) were noted for 6 months after discharge and confirmed by review of hospital records. Hierarchical Cox hazard regression was used for statistical analysis. Results Trait anger (hazard ratio = 1.11, 95% confidence interval = 1.03–1.20) and homocysteine level (hazard ratio = 1.10, 95% confidence interval = 1.01–1.21) were independent predictors of recurrent cardiac events after other risk factors were controlled for. Patients with high trait anger (score ≥ 24) and high serum level of homocysteine (≥ 11.3 μmol/L) had the shortest time to recurrent cardiac events (P = .01). Conclusion Trait anger had a combined effect on the link between serum level of homocysteine and recurrent cardiac events. Interventions to reduce trait anger may improve health outcomes by influencing both trait anger and homocysteine level.

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Ziherl, Slavko, Zdenka Čebašek Travnik, Blanka Kores Plesničar, Martina Tomori, and Bojan Zalar. "Trait Aggression and Hostility in Recovered Alcoholics." European Addiction Research 13, no. 2 (2007): 89–93. http://dx.doi.org/10.1159/000097938.

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Ziherl, S., Z. Cebasek - Travnik, and B. Zalar. "Trait aggression and hostility in recovered alcoholics." European Psychiatry 22 (March 2007): S74. http://dx.doi.org/10.1016/j.eurpsy.2007.01.283.

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5

Maier, Markus A., Michael P. Berner, Robin C. Hau, and Reinhard Pekrun. "Priming the trait category “hostility”: The moderating role of trait anxiety." Cognition & Emotion 21, no. 3 (2007): 577–95. http://dx.doi.org/10.1080/02699930600652333.

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6

Biaggio, Mary Kay, and William H. Godwin. "Relation of Depression to Anger and Hostility Constructs." Psychological Reports 61, no. 1 (1987): 87–90. http://dx.doi.org/10.2466/pr0.1987.61.1.87.

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To understand better the relationship between depression and various constructs of anger and hostility, 112 university students were administered the MMPI Depression scale, the Hostility and Direction of Hostility Questionnaire, the Overcontrolled Hostility Scale, the Anger Expression Scale, and the State-Trait Anger Scale. Among depressed subjects there was a more intense experience of hostility, particularly inwardly directed hostility, and a diminished sense of control over anger or a disinclination to manage anger.

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7

Kirsh, Steven J., and Paul V. Olczak. "RATING COMIC BOOK VIOLENCE: CONTRIBUTIONS OF GENDER AND TRAIT HOSTILITY." Social Behavior and Personality: an international journal 29, no. 8 (2001): 833–36. http://dx.doi.org/10.2224/sbp.2001.29.8.833.

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This study assessed the influence of gender and trait hostility on perceptions of extremely-violent and mildly-violent comic books. Participants rated comic books on a variety of factors, including levels of violence and humor. Gender, but not trait hostility, was significantly related to the comic book ratings. The methodological and psychological implications of these findings are discussed.

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8

KEILP, JOHN G., MARIANNE GORLYN, MARIA A. OQUENDO, et al. "Aggressiveness, not impulsiveness or hostility, distinguishes suicide attempters with major depression." Psychological Medicine 36, no. 12 (2006): 1779–88. http://dx.doi.org/10.1017/s0033291706008725.

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Background. Impulsiveness, hostility and aggressiveness are traits associated with suicidal behavior, but also with borderline personality disorder (BPD). The presence of large numbers of BPD subjects in past attempter samples may distort the relative importance of each of these traits to predicting suicidal behavior, and lead to prospective, biological and genetic models that systematically misclassify certain subpopulations of suicidal individuals.Method. Two hundred and seventy-five subjects with major depressive disorder (MDD), including 87 with co-morbid BPD (69 past suicide attempters, 18 non-attempters) and 188 without BPD (76 attempters, 112 non-attempters) completed standard impulsiveness, hostility and aggressiveness ratings. Differences between past suicide attempters and non-attempters were examined with the sample stratified by BPD status.Results. As expected, BPD subjects scored significantly higher than non-BPD subjects on all three trait measures. Stratifying by BPD status, however, eliminated attempter/non-attempter differences in impulsiveness and hostility in both patient subgroups. Past suicide attempters in each of the two subgroups of patients were only distinguished by higher levels of aggressiveness.Conclusions. Once BPD is accounted for, a history of aggressive behavior appears to be the distinguishing trait characteristic of suicide attempters with major depression, rather than global personality dimensions such as impulsiveness or hostility. Aggressiveness, and not these related traits, may be the ideal target for behavioral, genetic and biological research on suicidal behavior, as well as for the clinical assessment of suicide risk.

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9

Arehart-Treichel, Joan. "Cynical Hostility Personality Trait Strongly Predicts Depressed Mood." Psychiatric News 45, no. 9 (2010): 24. http://dx.doi.org/10.1176/pn.45.9.psychnews_45_9_028.

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10

Moreno, J. Kelly, Michael J. Selby, Addie Fuhriman, and Gary D. Laver. "Hostility in Depression." Psychological Reports 75, no. 3 (1994): 1391–401. http://dx.doi.org/10.2466/pr0.1994.75.3.1391.

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Subjects (39 men and 30 women) from two university counseling centers and one university medical center were administered the Hamilton Rating Scale for Depression, the Buss-Durkee Hostility Inventory, the State-Trait Anger Scale, and the Hostility and Direction of Hostility Questionnaire. Results showed significant positive correlations between self-reported severity of depression and all subtypes of hostility including behavior, attitude, affect, intropunitiveness, and extrapunitiveness. Hierarchical regression analysis using demographic and hostility variables as predictors of depression scores showed increasing age, lower education, and female gender to account for 50% of the explained variance. The Intropunitive subscale from the Hostility and Direction of Hostility Questionnaire accounted for an additional 19% of the explained variance and was the single most powerful predictor of depression. Correlational analysis showed women tending to have higher scores on most hostility measures. Implications of these results with respect to theory and clinical practice are discussed.

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Nouri, Shawn, and John Beer. "Relations of Moderate Physical Exercise to Scores on Hostility, Aggression, and Trait-Anxiety." Perceptual and Motor Skills 68, no. 3_suppl (1989): 1191–94. http://dx.doi.org/10.2466/pms.1989.68.3c.1191.

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100 male subjects were selected from a midwestern university and categorized into 5 jogging groups, advanced, intermediate, beginning, drop-out joggers and nonexercisers, who were administered the Commitment to Running Scale, the Buss-Durkee inventory measuring hostility and aggression, and the State-Trait Anxiety Inventory. Analysis of covariance with age as a covariate was performed using a 5 × 2 design with the 5 levels of jogging and status of the jogger (student/nonstudent) as independent variables. Fisher's LSD was used for multiple comparisons. Joggers scored higher than drop-outs or nonexercisers on the Commitment to Running Scale. Nonexercisers had higher mean scores on trait anxiety than advanced, intermediate, and drop-out loggers, advanced joggers had a lower mean trait-anxiety score than any other group Nonexercisers had higher mean aggression and hostility scores than drop-out or advanced joggers; drop-out and advanced joggers did not differ significantly but their scores were significantly lower than those of other groups of loggers These findings confirm that jogging affects trait anxiety, hostility, and aggression positively, which supports use of exercise preventively.

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12

Lim, Sandy, Remus Ilies, Joel Koopman, Paraskevi Christoforou, and Richard D. Arvey. "Emotional Mechanisms Linking Incivility at Work to Aggression and Withdrawal at Home: An Experience-Sampling Study." Journal of Management 44, no. 7 (2016): 2888–908. http://dx.doi.org/10.1177/0149206316654544.

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We report an experience-sampling study examining the spillover of workplace incivility on employees’ home lives. Specifically, we test a moderated mediation model whereby discrete emotions transmit the effects of workplace incivility to specific family behaviors at home. Fifty full-time employees from southeast Asia provided 363 observations over a 10-day period on workplace incivility and various emotional states. Daily reports of employees’ marital behaviors were provided by the spouses each evening. Results showed that state hostility mediated the link from workplace incivility to increased angry and withdrawn marital behaviors at home. Also, trait hostility served as a moderator such that the relationship between workplace incivility and hostile emotions was stronger for employees with high trait hostility.

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13

Dillon, Kirsten H., Nicholas P. Allan, Jesse R. Cougle, and Frank D. Fincham. "Measuring Hostile Interpretation Bias." Assessment 23, no. 6 (2016): 707–19. http://dx.doi.org/10.1177/1073191115599052.

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Hostile interpretation biases are central to the development and maintenance of anger, yet have been inconsistently assessed. The Word Sentence Association Paradigm (WSAP) was used to develop a new measure of hostile interpretation biases, the WSAP-Hostility. Study 1 examined the factor structure and internal consistency of the WSAP-Hostility, as well as its relationship with trait anger. Study 2 provided convergent and divergent validity data by examining its associations with trait anger, aggression, depression, and anxiety. Study 3 examined the relationship between WSAP-Hostility and another measure of hostile interpretation biases, as well as another word sentence association measure, in a sample of community participants. Study 4 also used a sample of community participants to offer further evidence of convergent validity. Across the studies, the WSAP-Hostility demonstrated convergent and divergent validity and internal consistency, supporting its use as a measure of hostile interpretation biases.

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Tiberio, Stacey S., and Deborah M. Capaldi. "Couples’ affect dynamics: Associations with trait hostility and physical intimate partner violence." Development and Psychopathology 31, no. 5 (2019): 1715–27. http://dx.doi.org/10.1017/s0954579419001275.

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AbstractWhether men's and women's reciprocation of their intimate partners’ negative and positive affect during conflictual topic discussions accounted for the association between their trait hostility and perpetration of physical intimate partner violence (IPV) was examined within a dyadic model, using concurrent measurement. The work builds on that of Dr. Tom Dishion regarding hostile and coercive interactions in key relationships on risk outcomes and the importance of moment-by-moment influences in social interactions. Using dynamic development systems theory and a community sample of at-risk men (N = 156) and their female partners, the hypothesis that quicker negative and slower positive affect reactivity would account for physical IPV perpetration beyond trait hostility was tested. Results suggest that, for women, quicker negative affect reactivity partially explains the hostility IPV association, whereas for men, trait hostility of both partners best explained their perpetration of physical IPV. No support was found for positive affect reactivity as a protective relationship process for IPV involvement. Findings are in line with other studies indicating men were less likely to engage in negative reciprocity relative to women. Furthermore, findings highlight how both partners’ individual characteristics, communication patterns, and emotion regulation processes germane to the romantic relationship impact the likelihood of experiencing physical IPV.

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Guyll, Max, and Stephanie Madon. "Trait hostility: the breadth and specificity of schema effects." Personality and Individual Differences 34, no. 4 (2003): 681–93. http://dx.doi.org/10.1016/s0191-8869(02)00054-5.

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Wingrove, Janet, Alyson J. Bond, Anthony J. Cleare, and Roy Sherwood. "Trait Hostility and Prolactin Response to Tryptophan Enhancement/Depletion." Neuropsychobiology 40, no. 4 (1999): 202–6. http://dx.doi.org/10.1159/000026620.

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Gambone, Gregg C., and Richard J. Contrada. "Patterns Of Self- And Other-representation In Trait Hostility." Journal of Social and Clinical Psychology 21, no. 5 (2002): 546–65. http://dx.doi.org/10.1521/jscp.21.5.546.22620.

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Lin, Tin Kwang, Chia-Ying Weng, Wen-Chung Wang, Chiu-Chun Chen, I.-Mei Lin, and Chin-Lon Lin. "Hostility trait and vascular dilatory functions in healthy Taiwanese." Journal of Behavioral Medicine 31, no. 6 (2008): 517–24. http://dx.doi.org/10.1007/s10865-008-9177-0.

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Dervic, K., M. Garcia-Amador, K. Sudol, et al. "Bipolar I and II versus unipolar depression: Clinical differences and impulsivity/aggression traits." European Psychiatry 30, no. 1 (2015): 106–13. http://dx.doi.org/10.1016/j.eurpsy.2014.06.005.

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AbstractObjective:To investigate distinguishing features between bipolar I, II and unipolar depression, and impulsivity/aggression traits in particular.Methods:Six hundred and eighty-five (n = 685) patients in a major depressive episode with lifetime Unipolar (UP) depression (n = 455), Bipolar I (BP-I) disorder (n = 151), and Bipolar II (BP-II) (n = 79) disorder were compared in terms of their socio-demographic and clinical characteristics.Results:Compared to unipolar patients, BP-I and BP-II depressed patients were significantly younger at onset of their first depressive episode, and were more likely to experience their first depressive episode before/at age of 15. They also had more previous affective episodes, more first- and second-degree relatives with history of mania, more current psychotic and subsyndromal manic symptoms, and received psychopharmacological and psychotherapy treatment at an earlier age. Furthermore, BP-I and BP-II depressed patients had higher lifetime impulsivity, aggression, and hostility scores. With regard to bipolar subtypes, BP-I patients had more trait-impulsivity and lifetime aggression than BP-II patients whereas the latter had more hostility than BP-I patients. As for co-morbid disorders, Cluster A and B Personality Disorders, alcohol and substance abuse/dependence and anxiety disorders were more prevalent in BP-I and BP-II than in unipolar patients. Whereas the three groups did not differ on other socio-demographic variables, BP-I patients were significantly more often unemployed that UP patients.Conclusion:Our findings comport with major previous findings on differences between bipolar and unipolar depression. As for trait characteristics, bipolar I and II depressed patients had more life-time impulsivity and aggression/hostility than unipolar patients. In addition, bipolar I and II patients also differed on these trait characteristics.

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Vranceanu, Ana-Maria, Linda C. Gallo, and Laura M. Bogart. "Hostility and Perceptions of Support in Ambiguous Social Interactions." Journal of Individual Differences 27, no. 2 (2006): 108–15. http://dx.doi.org/10.1027/1614-0001.27.2.108.

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The present study investigated whether a social information processing bias contributes to the inverse association between trait hostility and perceived social support. A sample of 104 undergraduates (50 men) completed a measure of hostility and rated videotaped interactions in which a speaker disclosed a problem while a listener reacted ambiguously. Results showed that hostile persons rated listeners as less friendly and socially supportive across six conversations, although the nature of the hostility effect varied by sex, target rated, and manner in which support was assessed. Hostility and target interactively impacted ratings of support and affiliation only for men. At least in part, a social information processing bias could contribute to hostile persons' perceptions of their social networks.

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Dougherty, Donald M., James M. Bjork, Dawn M. Marsh, and F. Gerard Moeller. "Influence of trait hostility on tryptophan depletion-induced laboratory aggression." Psychiatry Research 88, no. 3 (1999): 227–32. http://dx.doi.org/10.1016/s0165-1781(99)00088-8.

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杨, 如姣. "Trait Hostility and Aggression: The Mediating Effect of Anger Rumination." Advances in Social Sciences 09, no. 03 (2020): 312–18. http://dx.doi.org/10.12677/ass.2020.93048.

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Anderson, Kathryn B., Craig A. Anderson, Karen E. Dill, and William E. Deuser. "The interactive relations between trait hostility, pain, and aggressive thoughts." Aggressive Behavior 24, no. 3 (1998): 161–71. http://dx.doi.org/10.1002/(sici)1098-2337(1998)24:3<161::aid-ab1>3.0.co;2-o.

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Guyll, Max, and Richard J. Contrada. "Trait hostility and ambulatory cardiovascular activity: Responses to social interaction." Health Psychology 17, no. 1 (1998): 30–39. http://dx.doi.org/10.1037/0278-6133.17.1.30.

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Anderson, Jeremy C., Wolfgang Linden, and Martine E. Habra. "Influence of Apologies and Trait Hostility on Recovery from Anger." Journal of Behavioral Medicine 29, no. 4 (2006): 347–58. http://dx.doi.org/10.1007/s10865-006-9062-7.

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Hennessy, Dwight A., and Stephen Schwartz. "Personal Predictors of Spectator Aggression at Little League Baseball Games." Violence and Victims 22, no. 2 (2007): 205–15. http://dx.doi.org/10.1891/088667007780477384.

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Parents from two baseball leagues completed questionnaires regarding their likelihood of engaging in various aggressive behaviors (yelling, swearing, shoving, fighting, humiliating) toward targets at youth baseball games (other spectators, umpires, coaches, other players, their child). Overall, the likelihood of all forms of aggression was very low, particularly physical aggression and swearing. Hierarchical entry stepwise regressions were calculated to determine predictors of yelling and humiliating using demographics, trait aggression, anger, hostility, and vengeance as predictors. Parents with greater hostility reported a greater likelihood of humiliating a child’s teammate, while those with elevated trait anger reported a greater likelihood of yelling at other spectators. Finally, parents with a more vengeful attitude reported a greater likelihood of humiliating umpires.

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Schill, Thomas, and Daniel Thomsen. "Anger, Hostility, and the Barron Ego Strength Scale." Psychological Reports 60, no. 3_part_2 (1987): 1113–14. http://dx.doi.org/10.1177/0033294187060003-219.1.

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69 men in introductory psychology took Barron's ego strength scale, Spielberger's trait anger scale, and the Buss-Durkee hostility inventory. Low ego strength was associated with getting angry easily ( r = -.32), responding to others in a hostile manner (Buss-Durkee motor factor r = -.30), and harboring hostile attitudes (Buss-Durkee attitude factor r = -.55). These data support the idea that the scale measures a broad capacity for personality integration, including the control of anger and hostility.

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Wann, Daniel L., Sarah Shelton, Tony Smith, and Rhonda Walker. "Relationship between Team Identification and Trait Aggression: A Replication." Perceptual and Motor Skills 94, no. 2 (2002): 595–98. http://dx.doi.org/10.2466/pms.2002.94.2.595.

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Research yielded no significant relationship between sport fandom and trait aggression. The current study replicated previous efforts using the Buss-Perry Aggression Questionnaire, an updated version of the Buss-Durkee Hostility Inventory In contrast to past work, the current study did yield a significant relationship between fandom and aggression for men.

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Hornsveld, Ruud H. J., Almar J. Zwets, Ellie (P ). E. M. Leenaars, et al. "Violent Female Offenders Compared With Violent Male Offenders on Psychological Determinants of Aggressive Behavior." International Journal of Offender Therapy and Comparative Criminology 62, no. 2 (2016): 450–67. http://dx.doi.org/10.1177/0306624x16648109.

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Psychological determinants of aggressive behavior (personality traits and problem behaviors) in 59 Dutch female offenders (outpatients and detainees) were compared with those in 170 male offenders (outpatients and detainees) who were all convicted of a violent crime. The violent female offenders scored significantly higher on neuroticism and trait anger, and significantly lower on hostility than the male offenders; however, effect sizes were small. A subgroup of female forensic psychiatric outpatients did not differ from a subgroup of male outpatients on all measures, whereas a subgroup of female detainees scored significantly higher on anger and aggression, but lower on hostility and psychopathy than did a subgroup of male detainees. These first results might indicate that violent female offenders do not differ much from violent male offenders regarding personality traits and problem behaviors. The differences between both groups of violent offenders were largely borne by the subgroup of violent female detainees compared with the subgroup of violent male detainees.

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30

Suslow, Thomas, Marco W. Battacchi, and Margherita Renna. "The Italian Version of the Affective Gottschalk-Gleser Content Analysis Scales: A Step Toward Concurrent Validation." European Journal of Psychological Assessment 12, no. 1 (1996): 43–52. http://dx.doi.org/10.1027/1015-5759.12.1.43.

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A first approach to the validation of the Italian version of the Gottschalk-Gleser Content Analysis Scales of Anxiety and Hostility is presented. To assess the validity of the Affective Content Analysis Scales the Gottschalk-Gleser standard procedure for obtaining verbal samples was followed and concurrently self-report measurements of comparable emotional constructs were applied. A short form of the Differential Emotions Scale (DES) was administered three times to 50 university students to measure the emotional state before as well as after speech sampling and the affectivity associated with the narrated life event. To investigate whether the Gottschalk-Gleser Affect Scales measure emotional traits the State-Trait-Anxiety-Inventory, an S-R Inventory of Anxiety, the Shame-Guilt Scale ( Battacchi, Codispoti, & Marano, 1994 ) and the Irritability Scale ( Caprara, Borgogni, Cinanni, di Giandomenico, & Passerini, 1985 ) were applied. Though the correlations between the measures were generally low, evidence of convergent validity emerged for the Gottschalk-Gleser Total Anxiety Scale, the anxiety subscales Guilt Anxiety and Shame Anxiety (that seem to measure an anxiety pattern consisting of several basic emotions) and for the hostility subscale Overt Outward Hostility. The correlational data indicate that the Gottschalk-Gleser Affect Scales assess emotional traits as well as emotional states.

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García-León, Ana, Gustavo A. Reyes, Jaime Vila, Nieves Pérez, Humbelina Robles, and Manuel M. Ramos. "The Aggression Questionnaire: A Validation Study in Student Samples." Spanish Journal of Psychology 5, no. 1 (2002): 45–53. http://dx.doi.org/10.1017/s1138741600005825.

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The goal of this study was to examine the psychometric properties of the Aggression Questionnaire (AQ) in Spain. The AQ is a 29-item instrument designed to measure the different dimensions of the hostility/anger/aggression construct. It consists of 4 subscales that assess: (a) anger, (b) hostility, (c) verbal aggression, and (d) physical aggression. In Study 1, reliability, construct validity, and convergent validity were evaluated in a group of 384 male and female university students. Test-retest reliability was evaluated using a group of 154 male and female university students. The results of the factor analysis were similar to the scale structure claimed for this instrument. The subscales also showed internal consistency and stability over time. The AQ and its subscales were also compared with the scales and subscales of the Spielberger State-Trait Anger Expression Inventory (STAXI), the Cook-Medley Hostility Scale (Ho), the Buss-Durkee Hostility Inventory (BDHI), and the Jenkins Activity Survey-Form H (JASE-H). The results show that the AQ evaluates some aspects of anger, such as Anger-Trait and Anger-Out, rather than other elements, such as Anger-In or Anger-State. In Study 2, two new male groups were used to evaluate the criterion validity of the AQ: 57 prison inmates and 93 university students, finding that this instrument discriminated between the scores obtained by common offenders and university students.

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Tennant, Christopher C., and Pauline M. Langeluddecke. "Psychological correlates of coronary heart disease." Psychological Medicine 15, no. 3 (1985): 581–88. http://dx.doi.org/10.1017/s0033291700031433.

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SynopsisThe Type A behaviour pattern and other measures of psychological traits and symptom states were assessed in 92 subjects (predominantly male) presenting for coronary angiography. These measures were correlated with three angiographic indices of coronary heart disease (CHD) severity and two clinical indices (angina and the duration of CHD). The only psychological measures associated with atherosclerosis (assessed by angiography) were indices of personality: Type A (the Jenkins Activity Survey), trait tension, trait anxiety and suppression of anger. It was concluded that these traits may have some role in the pathogenesis of coronary atherosclerosis. None of the measures of psychological symptoms showed a significant association with angiography indices. However, depressive symptoms and expressed hostility were associated with the severity of angina and duration of heart disease. It was concluded that these affects are the consequences of the physical disability of CHD.

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Guyll, Max, and Stephanie J. Madon. "Effects of Trait Hostility and Self-Relevance on Social Information Processing." Basic and Applied Social Psychology 26, no. 4 (2004): 263–76. http://dx.doi.org/10.1207/s15324834basp2604_3.

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Girard, Dominique, Jean-Claude Tardif, Julie Boisclair Demarble, and Bianca D’Antono. "Trait Hostility and Acute Inflammatory Responses to Stress in the Laboratory." PLOS ONE 11, no. 6 (2016): e0156329. http://dx.doi.org/10.1371/journal.pone.0156329.

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Dinic, Bojana, and Bojan Janicic. "Evaluation of Buss-Perry aggression Questionnaire with item response theory (IRT)." Psihologija 45, no. 2 (2012): 189–207. http://dx.doi.org/10.2298/psi1202189d.

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The aim of this research was to examine the psychometric properties of the Buss-Perry Aggression Questionnaire on Serbian sample, using the IRT model for graded responses. AQ contains four subscales: Physical aggression, Verbal aggression, Hostility and Anger. The sample included 1272 participants, both gender and age ranged from 18 to 68 years, with average age of 31.39 (SD = 12.63) years. Results of IRT analysis suggested that the subscales had greater information in the range of above-average scores, namely in participants with higher level of aggressiveness. The exception was Hostilisty subscale, because it was informative in the wider range of trait. On the other hand, this subscale contains two items which violate assumption of homogenity. Implications for measurement of aggressiveness are discussed.

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Wang, Ya‐Jie, and Ling‐Xiang Xia. "The longitudinal relationships of interpersonal openness trait, hostility, and hostile attribution bias." Aggressive Behavior 45, no. 6 (2019): 682–90. http://dx.doi.org/10.1002/ab.21862.

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37

Everson, Susan A., Barbara S. McKey, and William R. Lovallo. "Effect of trait hostility on cardiovascular responses to harassment in young men." International Journal of Behavioral Medicine 2, no. 2 (1995): 172–91. http://dx.doi.org/10.1207/s15327558ijbm0202_6.

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Joel Wade, T., Kevin Witham, and Jonathan S. Abramowitz. "Sex differences in trait hostility at levels above and below the mean." Personality and Individual Differences 17, no. 1 (1994): 79–86. http://dx.doi.org/10.1016/0191-8869(94)90264-x.

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Shivpuri, S., L. C. Gallo, P. J. Mills, K. A. Matthews, J. P. Elder, and G. A. Talavera. "Trait anger, cynical hostility and inflammation in latinas: Variations by anger type?" Brain, Behavior, and Immunity 25, no. 6 (2011): 1256–63. http://dx.doi.org/10.1016/j.bbi.2011.04.016.

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Allen, Joseph P., Emily L. Loeb, Joseph S. Tan, Rachel K. Narr, and Bert N. Uchino. "The body remembers: Adolescent conflict struggles predict adult interleukin-6 levels." Development and Psychopathology 30, no. 4 (2017): 1435–45. http://dx.doi.org/10.1017/s0954579417001754.

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AbstractStruggles managing conflict and hostility in adolescent social relationships were examined as long-term predictors of immune-mediated inflammation in adulthood that has been linked to long-term health outcomes. Circulating levels of interleukin-6 (IL-6), a marker of immune system dysfunction when chronically elevated, were assessed at age 28 in a community sample of 127 individuals followed via multiple methods and reporters from ages 13 to 28. Adult serum IL-6 levels were predicted across periods as long as 15 years by adolescents’ inability to defuse peer aggression and poor peer-rated conflict resolution skills, and by independently observed romantic partner hostility in late adolescence. Adult relationship difficulties also predicted higher IL-6 levels but did not mediate predictions from adolescent-era conflict struggles. Predictions were also not mediated by adult trait hostility or aggressive behavior, suggesting the unique role of struggles with conflict and hostility from others during adolescence. The implications for understanding the import of adolescent peer relationships for life span physical health outcomes are considered.

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Fukunishi, Isao, and Kanae Koyama. "Relations of Alexithymic Characteristics with Eating Attitudes and Hostility in Female College Students." Psychological Reports 88, no. 3_suppl (2001): 1245–50. http://dx.doi.org/10.2466/pr0.2001.88.3c.1245.

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We examined the correlations of alexithymic characteristics with the expression of unfavorable feelings such as anger and hostility and abnormal eating attitudes and behaviors in a sample of 278 Japanese female college students. Mean scores on the Eating Attitude Inventory, MMPI Hostility, and State-Trait Anger Expression Inventory were significantly higher for female college students with alexithymic characteristics than for those with nonalexithymic characteristics. Multivariate analysis of covariance indicated that the significant relationships between alexithymic characteristics and oral control of the eating attitudes were controlled by scores on anger-in and anger control, suggesting that anger-in and anger control may mediate the relationship between alexithymic characteristics and abnormal eating attitudes.

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Nielson, Spencer, Joseph Dzierzewski, and Daniel Kay. "766 Anxiety is a potential mediating factor in the insomnia-aggression association." Sleep 44, Supplement_2 (2021): A298. http://dx.doi.org/10.1093/sleep/zsab072.763.

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Abstract Introduction Several recent studies have found an association between insomnia and increased aggression. Aggression may increase arousal, thereby predisposing individuals to sleep difficulties. Conversely, insomnia may impair brain circuitry involved in aggression. Ultimately, the relationship between insomnia and aggression remains poorly understood and understudied. This study sought to explore this association in a sample of individuals with a wide range of insomnia symptom severity, stratified from minimal to moderately severe. Methods Participants’ (N=66) insomnia symptoms were assessed using the Insomnia Severity Index. Participants also completed daily sleep diaries for 7–21 days followed by an ambulatory polysomnography overnight sleep study to characterize participants’ sleep and to rule out organic sleep disorders. The evening of the overnight sleep study, participants completed the 34-item Buss-Perry Aggression Questionnaire (AQ). Pearson’s correlation coefficient was used to assess associations between insomnia, AQ total score, and the AQ subscale scores (i.e., physical aggression, verbal aggression, anger, hostility, indirect aggression). Multiple regression was utilized to determine whether aggression was associated with insomnia severity while adjusting for demographic features, depression symptoms (Patient Health Questionnaire-9) and trait anxiety (State-Trait Anxiety inventory). Results In bivariate analyses, insomnia severity was significantly correlated with the AQ total score and with the anger and hostility subscales of the AQ (r=0.297, p&lt;0.05; r=0.266, p&lt;0.05; r=0.321, p&lt;0.05 respectively). When adjusting for the significant association between anxiety and insomnia in multiple regression analyses, anger and hostility were no longer significantly associated with insomnia severity(p&gt;.05). Conclusion Our investigation suggests that the association between insomnia and aggression is most specific to anger and hostility but that these associations may be better explained by their shared associations with anxiety. Support (if any):

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Williams, Kevin D. "The Effects of Frustration, Violence, and Trait Hostility After Playing a Video Game." Mass Communication and Society 12, no. 3 (2009): 291–310. http://dx.doi.org/10.1080/15205430802461087.

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Leventhal, Adam M., and Christopher W. Kahler. "Examining Socioaffective Processing Biases in Cigarette Smokers with High Versus Low Trait Hostility." Behavioral Medicine 36, no. 2 (2010): 63–69. http://dx.doi.org/10.1080/08964281003774927.

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SULS, JERRY, and CHOI K. WAN. "The relationship between trait hostility and cardiovascular reactivity: A quantitative review and analysis." Psychophysiology 30, no. 6 (1993): 615–26. http://dx.doi.org/10.1111/j.1469-8986.1993.tb02087.x.

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Anderson, Craig A. "Effects of violent movies and trait hostility on hostile feelings and aggressive thoughts." Aggressive Behavior 23, no. 3 (1997): 161–78. http://dx.doi.org/10.1002/(sici)1098-2337(1997)23:3<161::aid-ab2>3.0.co;2-p.

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Parmentier, C., B. Etain, L. Yon, et al. "Clinical and dimensional characteristics of euthymic bipolar patients with or without suicidal behavior." European Psychiatry 27, no. 8 (2011): 570–76. http://dx.doi.org/10.1016/j.eurpsy.2011.05.005.

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AbstractBackgroundThe clinical and dimensional features associated with suicidal behaviour in bipolar patients during euthymic states are not well characterised.MethodsIn a sample of 652 euthymic bipolar patients, we assessed clinical features with the Diagnostic Interview for Genetics Studies (DIGS) and dimensional characteristics with questionnaires measuring impulsivity/hostility and affective lability/intensity. Bipolar patients with and without suicidal behaviour were compared for these clinical and dimensional variables.ResultsOf the 652 subjects, 42.9% had experienced at least one suicide attempt. Lifetime history of suicidal behaviour was associated with being a woman, a history of head injury, tobacco misuse and indicators of severity of bipolar disorder including early age at onset, high number of depressive episodes, positive history of rapid cycling, alcohol misuse and social phobia. Indirect hostility and irritability were dimensional characteristics associated with suicidal behaviour in bipolar patients, whereas impulsivity and affective lability/intensity were not associated with suicidal behaviour.LimitationsThis study had a retrospective design with no replication sample.ConclusionsBipolar patients with earlier onset, mood instability (large number of depressive episodes, rapid cycling) and/or particular addictive and anxiety comorbid disorders might be at high risk of suicidal behaviour. In addition, hostility dimensions (indirect hostility and irritability), may be trait components associated with suicidal behaviour in euthymic bipolar patients.

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Lee, Myeong Soo, Seong Min Jeong, Byung Gi Kim, Hoon Ryu, Sang Woo Oh, and Bun-Taeg Chung. "A Minnesota Multiphasic Personality Inventory Profile of ChunDoSunBup Qi-Trainees: A Preliminary Study." American Journal of Chinese Medicine 27, no. 03n04 (1999): 307–13. http://dx.doi.org/10.1142/s0192415x99000355.

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The aim of this study is to explore the effects of ChunDoSunBup Qi-training on personality traits. Twenty-six normal healthy subjects (mean age = 26.58 ± 6.56) and 26 CDSB Qi-trainees (mean age = 27.74 ± 5.21) participated in this study. Analysis of MMPI profiles showed that CDSB Qi-trainees scored significantly lower on Depression (D), Hysteria (Hy), Paranoia (Pa), Schizophrenia (Sc) and Frequency (F) and significantly higher on the Correction (K) Scales. In addition, CDSB Qi-trainees reported a significantly lower Cook-Medley Hostility (Ho) scale than that of controls. This preliminary study suggests that CDSB Qi-training may be effective in protection as well as restoration of emotional, psychological symptomatology and personality trait disorder.

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Bongard, Stephen, Mustafa al'Absi, and William R. Lovallo. "Interactive effects of trait hostility and anger expression on cardiovascular reactivity in young men." International Journal of Psychophysiology 28, no. 2 (1998): 181–91. http://dx.doi.org/10.1016/s0167-8760(97)00095-0.

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POWELL, A. S., J. P. BOAKES, and P. SLATER. "Hostility and the medical student: how a trait measure influences perception of medical specialties." Medical Education 22, no. 3 (1988): 222–30. http://dx.doi.org/10.1111/j.1365-2923.1988.tb00011.x.

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