Article

Combinations of Stressors in Midlife: Examining Role and Domain Stressors Using Regression Trees and Random Forests.

Correspondence should be addressed to Stacey Scott, Center for Healthy Aging, Pennsylvania State University, University Park, PA 16802. E-mail: .
The Journals of Gerontology Series B Psychological Sciences and Social Sciences (Impact Factor: 2.85). 01/2013; DOI: 10.1093/geronb/gbs166
Source: PubMed

ABSTRACT Objectives.Global perceptions of stress (GPS) have major implications for mental and physical health, and stress in midlife may influence adaptation in later life. Thus, it is important to determine the unique and interactive effects of diverse influences of role stress (at work or in personal relationships), loneliness, life events, time pressure, caregiving, finances, discrimination, and neighborhood circumstances on these GPS.Method.Exploratory regression trees and random forests were used to examine complex interactions among myriad events and chronic stressors in middle-aged participants' (N = 410; mean age = 52.12) GPS. RESULTS: Different role and domain stressors were influential at high and low levels of loneliness. Varied combinations of these stressors resulting in similar levels of perceived stress are also outlined as examples of equifinality. Loneliness emerged as an important predictor across trees.Discussion.Exploring multiple stressors simultaneously provides insights into the diversity of stressor combinations across individuals-even those with similar levels of global perceived stress-and answers theoretical mandates to better understand the influence of stress by sampling from many domain and role stressors. Further, the unique influences of each predictor relative to the others inform theory and applied work. Finally, examples of equifinality and multifinality call for targeted interventions.

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    ABSTRACT: Building on prior work linking high anger expression to poor health, this cross-sectional study addressed whether anger expression exacerbated age-related risk for metabolic syndrome in a national sample of adults, known as MIDUS (Midlife in the United States).Method.Respondents reported anger expression via survey assessments and completed an overnight clinic visit. Unadjusted metabolic syndrome prevalence was 40.6%. Men, less educated individuals, and those who reported not getting regular physical activity were at significantly higher risk for metabolic syndrome. Anger expression did not predict higher risk for metabolic syndrome in main effects models, but it moderated the relationship between age and metabolic syndrome. Age-associated risk for metabolic syndrome was significant only for adults with high anger expression.Discussion.Among older adults, anger expression predicted higher prevalence of metabolic syndrome. Older adults reporting low anger expression had metabolic syndrome rates comparable to younger adults. Results highlight that failing to show the frequently observed decline in anger expression with age may have pernicious health concomitants.
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