Sleep Characteristics of Japanese Working Men Who Score Alexithymic on the Toronto Alexithymia Scale

1997 ◽  
Vol 84 (3) ◽  
pp. 859-865 ◽  
Author(s):  
Isao Fukunishi ◽  
Noriyuki Kawamura ◽  
Toshio Ishikawa ◽  
Yukihiro Ago ◽  
Yasuo Yamasaki ◽  
...  

This study examined the relationship of sleep characteristics including insomnia with scores on alexithymia in a sample of 171 Japanese working men. Levels of nonrestorative sleep and daytime sleepiness reported on a sleep questionnaire were significantly associated with scores on Depression and Confusion on the Profile of Mood States for Japanese men who had a high mean score on the Toronto Alexithymia Scale.

2007 ◽  
Vol 35 (3) ◽  
pp. 351-358 ◽  
Author(s):  
Shih-Chieh Chuang ◽  
Chwen-Li Chang

How do mood states influence risk-taking and choice? This study was conducted to demonstrate and explain the relationship of mood, risk-taking, and choice. The results showed that participants were more likely to systematically display risk-taking behavior when in a negative mood than when in a positive mood. The mood effect was moderated by openness to feelings (OF) in the individual personality.


1987 ◽  
Vol 60 (3_part_2) ◽  
pp. 1219-1222
Author(s):  
Scott E. Frazier

The purpose of this study was to examine the relationship between two measures of depression and to compare scores of highly physically fit distance runners. 100 subjects, including 25 women, were administered the Profile of Mood States to measure states and the Zung Depression Scale to measure depression. Subjects were below the norms for the Profile but not for the Zung. A correlation of .92 ( r2 = 85.5) between scores was noted for the 25 women, while less variance was explained for the men ( r = .645, r2 = 41.6). Despite participation in regular exercise, depression scores greater than 40 were obtained by 7 men and 5 women, indicating that regular exercisers are not immune to depression.


1973 ◽  
Vol 32 (3_suppl) ◽  
pp. 1143-1150 ◽  
Author(s):  
Arthur F. Costantini ◽  
Jack Davis ◽  
John R. Braun ◽  
Annette Iervolino

The relationship between high degrees of life style changes and personality and mood factors was explored. 262 university students completed the Schedule of Recent Experience, a device quantifying the psychological magnitude of experienced changes in a given time period, the Psychological Screening Inventory and the Profile of Mood States. Scores on the Schedule of Recent Experience had significant positive correlations with Profile of Mood States scores of tension, depression, anger, fatigue, confusion, and total mood disturbance. They also significantly and positively correlated with the Psychological Screening Inventory scores of alienation, social nonconformity, and expression, and negatively with defensiveness. The pattern of personality and mood correlates of scores on the Schedule was consistent with a hypothesis that adverse psychological consequences may result from a great deal of change.


1998 ◽  
Vol 86 (3_suppl) ◽  
pp. 1443-1457 ◽  
Author(s):  
Peter Hassmén ◽  
Nathalie Koivula ◽  
Torsten Hansson

The relationship between preperformance mood, measured by the Profile of Mood States inventory, and subsequent athletic performance has been the focus of considerable research. Presumably, athletes with less positive mood profiles should be outperformed by those with more favorable profiles. The results presented so far in the literature are equivocal. One possible explanation is that more stable trait characteristics might mediate mood states prior to competitive situations. In the present study, 8 male golf players, all members of the Swedish National Team, completed a number of trait inventories (Eysenck's Personality Inventory, Locus of Control, Sport Competition Anxiety Test, Self-consciousness Scale) prior to the competitive season. Subsequently, they completed the Profile of Mood States before each game played. Analysis showed that the players' preperformance mood states differed significantly and that these differences were associated with their scores on the trait inventories. Furthermore, preperformance mood states were significantly related to athletic performance for some individuals but not for others. Further research should also include trait measurements to understand better the relationship between mood states and the athletic performance of individual athletes.


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