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Articles

Positive and negative affectivity, stress, and well-being in African-Americans: Initial demonstration of a polynomial regression and response surface methodology approach

, &
Pages 445-464
Received 01 Nov 2016
Accepted 04 Aug 2017
Published online: 05 Sep 2017

Objective: The extent to which positive (PA) and negative (NA) affect conjointly impact well-being is not yet well understood. Additionally, research investigating the role of affectivity in maintaining well-being among ethnic and racial minorities is scant. The current research demonstrates how polynomial regression and response surface methodology (PR and RSM) may be used to better understand how PA and NA jointly influence stress and well-being.

Design: In Study 1, 291 African-American undergraduates (Mage = 22.91, SD = 6.91; 67% female) completed measures of affectivity and psychological well-being. In Study 2, a community sample of 117 African-Americans (Mage = 31.87, SD = 13.83; 69% female) completed affectivity measures and a laboratory-based social stressor task to assess links between affectivity and salivary cortisol reactivity.

Main outcome measures: Study 1 included life satisfaction, perceived stress and self-reported depressive symptoms. Study 2 included salivary cortisol reactivity.

Results: Across both studies, PA ascendency (i.e. high PA combined with low NA) was associated with better well-being, while NA ascendancy (i.e. high NA combined with low PA) was associated with poorer outcomes.

Conclusion: PR and RSM may provide new insight into the conjoint influence of PA and NA on health and well-being. We discuss potential implications for affectivity research, including race-related explorations.

Acknowledgements

The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Heart, Lung, and Blood Institute or the National Institutes of Health. We are very thankful to Mercedes Hendrickson, Nathan Weidner, Lenwood Hayman, Edyta Debowska, Stefan Goetz, Rhiana Wegner, Kaitlyn Simmonds, Kevin Wynne, and the entire staff of the Clinical Research Center at Wayne State University for assistance with data collection.

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