Comparing the predictive utility of trait affect and average daily affect for the prospective prediction of health outcomes |
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| Affiliation: | 1. Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, United States;2. Department of Psychology, Northwestern University, United States;1. Department of Psychological Medicine, King''s College London, London SE5 8AF, UK;2. Department of Health Services & Population Research, King''s College London, London SE5 8AF, UK;3. Institute of Psychiatry, Psychology & Neuroscience, ESRC Centre for Society and Mental Health, King''s College London, London SE5 8AF, UK;4. South London & Maudsley NHS Trust, London, UK;1. Lee Kong Chian School of Business, Singapore Management University, Singapore;2. Institute of Psychology, Freie Universität Berlin, Germany;1. The National Center for PTSD, Behavioral Science Division, at Veteran Affairs Boston Healthcare System, Boston, MA, United States;2. Department of Psychology, University of North Carolina at Greensboro, United States;1. Heidelberg University, Bergheimer Straße 20, 69115 Heidelberg, Germany;2. University of Koblenz-Landau, Fortstraße 7, 76826 Landau, Germany;3. University of Marburg, Gutenbergstraße 18, 35032 Marburg, Germany |
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| Abstract: | In preregistered secondary data analyses, we compared the predictive utility of trait affect and average daily affect for predicting three health outcomes across nine years (N = 1,376). Trait positive and negative affect were assessed using a 25-item dispositional questionnaire. Average daily affect was assessed as the mean of eight daily diary reports of the same items. Trait affect and average daily affect both had medium associations with self-reported general health and chronic health conditions. Moreover, both types of affect predicted mortality when adjusting for baseline health and demographics. Effect sizes were comparable for trait compared to daily affect. These findings demonstrate convergent predictive validity of trait and daily affect measures. |
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| Keywords: | Affect Trait Daily diary Physical health Mortality |
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