Emotion, Personality, and Health

Tucker, Joan S.; Frıedman, Howard S.

doi:10.1016/b978-012464995-8/50018-2

Cited by 16 publications

(5 citation statements)

References 66 publications

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“…An obvious possibility involves a survival effect: The angriest individuals-with the fewest years of education-may be much more likely to be excluded from cross-sectional samples because of death, poorer health, incarceration, or a hostile attitude that increases their refusal rate. There is little question that individuals who have more hostile dispositions are also more likely to experience a greater frequency of anger, which in turn may elevate the risk for an array of health problems, including heart disease (Mittleman et al 1995;Siegman 1994;Tavris 1989;Tucker and Friedman 1996). Other researchers assert that individual episodes of anger may have less of an effect on health and social relationships than an accumulation of anger (Averill 1983).…”

Section: Discussionmentioning

confidence: 99%

“…Like depressive or anxious emotions, anger may be detrimental to health and well-being. Individuals who overexpress or suppress anger, or experience it too frequently, too intensely, or for too long, may be at greater risk for poorer physical health and disturbed interpersonal relationships (Guerrero 1994;Mittleman et al 1995;Siegman 1994;Tavris 1989Tavris , 1994Tucker and Friedman 1996). 1 There is little doubt that angry feelings can stir up irrational thoughts, aggressive behavior, and destructive acts.…”

Section: The Study Of Angermentioning

confidence: 99%

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Socioeconomic Status and the Frequency of Anger across the Life Course

Schieman

2003

Sociological Perspectives

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Previous studies suggest that older people report less anger. However, little is known about the relationship between age and the frequency of anger among individuals with different levels of education and economic circumstances. Using data from the 1996 General Social Survey ( N = 1,442), I examine the effects of age on anger across levels of education and objective and subjective economic conditions. A significant and positive age × education interaction suggests that the negative relationship between age and the frequency of anger is stronger at lower levels of education. Adjustment for social roles and economic conditions fails to account for the age × education interaction effect. In addition, differences in anger between individuals who reported worsening financial conditions and those who reported that their finances improved or stayed the same are greatest among the youngest age groups, and the gap decreases at successively older age levels. I discuss the ways that these results contradict recent findings of SES-based age differences in depressive emotions and physical health status.

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Section: Discussionmentioning

confidence: 99%

Section: The Study Of Angermentioning

confidence: 99%

Socioeconomic Status and the Frequency of Anger across the Life Course

Schieman

2003

Sociological Perspectives

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“…There are ample grounds for considering anger to represent a problem of substantial personal and social significance. Evidence indicates that anger can, and often does, have emotionally and socially destructive consequences (Jorgensen et al 1996; Schum et al 2003; Tucker and Friedman 1996). It is also clear that persisting anger can have significant implications for physical health, and the physiological mechanisms involved seem fairly well understood (Jorgensen et al 1996; Schum et al 2003).…”

mentioning

confidence: 99%

Physical Limitation and Anger

Brown

Turner

2012

Society and Mental Health

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Is there a relationship between physical limitation and anger proneness? And, if so, is this relationship conditioned by associated differences in stress exposure and the availability of psychosocial coping resources? We explore these questions using data from a two-wave panel study including a representative sample of persons with and without physical limitations (N = 1,473). Results of longitudinal change analysis demonstrate that physical limitation is associated with an increased tendency to both experience and express anger. Findings also reveal that this association is largely accounted for by variations in the experience of discrimination and differences in the psychosocial coping resources of mastery and self-esteem

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“…The link between marital quality and the parental-child relationship has also been confirmed by Erel and Burman (1995). Different emotional response patterns which have an impact on a couple's perception of marital quality, such as hostility, optimism and neuroticism (Newton & Kiecol-Glacier, 1995;Lin & Raghubir, 2005;Whisman et al, 2004;Coyne et al, 2002), have been studied by Tucker and Friedman (1996) in the context of their association with poor physical health.…”

Section: Emotional Dimensionmentioning

confidence: 99%

Given the Demographics of Emotional Divorce of Spouses – How to Minimize It, Using Structural Equation Modeling: A Case Study in Egypt

Samak¹,

Keshky²,

Khusaifan³

2016

IJSW

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This study identifies eight factors: age, gender, education, occupation, place of residence, duration of marriage, number of previous marriages and number of children within the marriage, which can affect the occurrence of emotional divorce. These eight factors are explored through nine dimensions: emotional, intellectual, social-recreational, psychological, temporal, sexual, spiritual, physical and economic. Exploratory and Confirmatory Factor Analysis and path diagrams are used to extract emotional divorce from the eight factors. Structural Equation Modeling (SEM) is run to verify the above factor structure and evaluate the influence of each variable on emotional divorce. The corresponding beta coefficients in the regression equations reveal that education is the most dominant predictor of emotional divorce, with a 5% level of significance. It is equally predominant through seven of the nine dimensions (all excluding temporal). It is concluded that demographic factors such as age, gender and education levels play an important role in people's day-to-day lives, particularly within marriages.

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Emotion, Personality, and Health

Cited by 16 publications

References 66 publications

Socioeconomic Status and the Frequency of Anger across the Life Course

Socioeconomic Status and the Frequency of Anger across the Life Course

Physical Limitation and Anger

Given the Demographics of Emotional Divorce of Spouses – How to Minimize It, Using Structural Equation Modeling: A Case Study in Egypt

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