@article{c4198c4a1c0745eabde865ac05294318,
title = "Comparing the predictive utility of trait affect and average daily affect for the prospective prediction of health outcomes",
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.",
keywords = "Affect, Daily diary, Mortality, Physical health, Trait",
author = "Willroth, {Emily C.} and Graham, {Eileen K.} and Mroczek, {Daniel K.}",
note = "Funding Information: The first author ECW conceptualized the idea for the present study, carried out analyses, and wrote the first draft of the manuscript. The second and third authors EKG and DKM provided substantive input on the preregistration and data analytic strategy, and contributed to manuscript revisions. Correspondence regarding this article should be directed to E.C. Willroth at emily.willroth@northwestern.edu. The MIDUS has been supported by the John D. and Catherine T. MacArthur Foundation Research Network, and the National Institute on Aging (P01-AG020166; U19-AG051426). This work was also supported by three National Institute on Aging grants awarded to D.K. Mroczek (R01-AG018436, R01-AG067622, R01-AG064006). Publisher Copyright: {\textcopyright} 2020",
year = "2020",
month = aug,
doi = "10.1016/j.jrp.2020.103966",
language = "English (US)",
volume = "87",
journal = "Journal of Research in Personality",
issn = "0092-6566",
publisher = "Academic Press Inc.",
}