A Comparison Between Bottom–Up, Top–Down, and Bidirectional Models of Relationships Between Global and Life Facet Satisfaction

Lance, Charles E.; Lautenschlager, Gary J.; Sloan, Christopher E.; Varca, Philip E.

doi:10.1111/j.1467-6494.1989.tb00565.x

Cited by 91 publications

(60 citation statements)

References 79 publications

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“…In contrast, it was suggested by other researchers [17,31] that the work domain contributes little to the overall psychological well-being of an individual in comparison to non-work domains, such as family, health, friendships and leisure.…”

Section: Impact Of Occupational Stressmentioning

confidence: 83%

Stressors and supports across work and non-work domains: The impact on mental health and the workplace

Kendall

Muenchberger

2009

Work

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The main aim of this research was to investigate the impact of stressors and supports present in both work and non-work domains on occupational health. Using a multi-dimensional survey (SWS-Survey of Occupational Health), the relationships between personal and environmental stress and support was determined for a sample of stress injury claimants (n = 60) and non-claimants (n = 570). A series of regression analyses found significant differences between claimants and non-claimants for both stressors and supports. Poor mental health was best predicted by stress scales for claimants and non-claimants. However, for non-claimants, work support was found to be a significant determinant of outcome. Good mental health was best predicted by support scales for non-claimants, but only by personal support for claimants. Overall, these findings highlighted the influential role of work and personal supports in mitigating the negative impact of stress as well as promoting well-being in the workplace. Specifically, employers must recognise the impact of worker's subjective appraisal of their circumstances and focus on facilitating occupational well-being among their employees.

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Section: Impact Of Occupational Stressmentioning

confidence: 83%

Stressors and supports across work and non-work domains: The impact on mental health and the workplace

Kendall

Muenchberger

2009

Work

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“…Flow in Leisure and Life Satisfaction 303 enhance our knowledge on well-being. First of all, most studies ignore possible antecedents that may trigger a series of evaluations, a pattern that is suggested by the bottom-up theory (e.g., Brief et al 1993;Headey et al 1991;Heller et al 2009;Lance et al 1989;Leonardi et al 1999Leonardi et al , 2005Scherpenzeel and Saris 1996). Therefore, in this study, we have tried to integrate flow theory and bottom-up theory to address why satisfaction would be triggered.…”

Section: The Present Studymentioning

confidence: 93%

Alegría! Flow in Leisure and Life Satisfaction: The Mediating Role of Event Satisfaction Using Data from an Acrobatics Show

Chen

et al. 2010

Soc Indic Res

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“…Several explanations have been offered on this. Top-down theories of GWB, for example, claim that global GWB determines the levels of wellbeing in individual domains [26]. Such theories assume that there may be a personality trait-based tendency to experience life in a positive or a negative way.…”

Section: Introductionmentioning

confidence: 99%

Predicting general well-being from self-esteem and affectivity: An exploratory study with Scottish adolescents

et al. 2006

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The present study investigated the association between the personality constructs of self-esteem/affectivity and General Well-Being (GWB) in Scottish adolescents. A total of 425 secondary school pupils completed the P.G.I. General Well-Being Scale [Verma et al. Ind J. Clin. Psychol. 10 (1983) 299], the Hare Self-esteem Scale (HSES) [Hare, The Hare General and Area-Specific (School, Peer, and Home) Self-esteem Scale. Unpublished manuscript, Department of Sociology, SUNY Stony Brook, New York, mineo, 1985] and the Positive and Negative Affect Schedule (PANAS) [Watson et al. J Personal Soc Psychol 54 (1988a) 1063]. Combined self-esteem, positive and negative affectivity, age and gender accounted for 49.7% of the total GWB variance, 24.9% of the physical well-being variance, 41.6% of the mood/affect well-being variance, 33.3% of the anxiety well-being variance and 44.3% of the self/others well-being variance. Home self-esteem was found the strongest predictor of mood/affect and self/others well-being domains as well as well-being total. It was also the second best predictor of anxiety well-being domain. School self-esteem was the strongest predictor of physical well-being, whereas negative affectivity was the strongest predictor of anxiety well-being domain. However age and gender were not significantly associated with GWB, total or domain specific. The study adds to previous evidence regarding the high association between GWB and personality factors in adult and adolescent populations. Directions for future research are discussed.

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A Comparison Between Bottom–Up, Top–Down, and Bidirectional Models of Relationships Between Global and Life Facet Satisfaction

Cited by 91 publications

References 79 publications

Stressors and supports across work and non-work domains: The impact on mental health and the workplace

Stressors and supports across work and non-work domains: The impact on mental health and the workplace

Alegría! Flow in Leisure and Life Satisfaction: The Mediating Role of Event Satisfaction Using Data from an Acrobatics Show

Predicting general well-being from self-esteem and affectivity: An exploratory study with Scottish adolescents

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