Brenda R Whitehead1, Cindy S Bergeman. 1. Department of Psychology, University of Notre Dame, Notre Dame, IN, USA. Brenda.R.Whitehead.9@nd.edu
Abstract
OBJECTIVE: The present study addresses gaps in the literature on affect-biased health perceptions by (a) investigating health bias while considering both valence and arousal components of affect; (b) establishing the presence of, and variability in, affective health bias at the daily level; and (c) exploring daily health bias in a non-clinical, community sample of adults. DESIGN: Participants were 477 adults (aged 33-80 years) who reported daily health events, health satisfaction and affect for up to 56 days. Health bias was present when the effect of a given day's health events on that day's health satisfaction was significantly moderated by that day's affect. Multilevel modelling was used to investigate fixed and random within-day effects. MAIN OUTCOME MEASURE: Daily health satisfaction. RESULTS: Significant interaction effects indicated the presence of health bias on the daily level: positively valenced affect buffered the negative impact of health events on health satisfaction, whereas negatively valenced affect exacerbated this association; additionally, valence emerged as the most salient characteristic of positive affect, whereas arousal was a differentiating factor for negative affect. CONCLUSION: The results provide evidence that both valence and arousal components of affect are important to consider when investigating day-level health bias, and that these effects can be detected using a general population of adults.
OBJECTIVE: The present study addresses gaps in the literature on affect-biased health perceptions by (a) investigating health bias while considering both valence and arousal components of affect; (b) establishing the presence of, and variability in, affective health bias at the daily level; and (c) exploring daily health bias in a non-clinical, community sample of adults. DESIGN:Participants were 477 adults (aged 33-80 years) who reported daily health events, health satisfaction and affect for up to 56 days. Health bias was present when the effect of a given day's health events on that day's health satisfaction was significantly moderated by that day's affect. Multilevel modelling was used to investigate fixed and random within-day effects. MAIN OUTCOME MEASURE: Daily health satisfaction. RESULTS: Significant interaction effects indicated the presence of health bias on the daily level: positively valenced affect buffered the negative impact of health events on health satisfaction, whereas negatively valenced affect exacerbated this association; additionally, valence emerged as the most salient characteristic of positive affect, whereas arousal was a differentiating factor for negative affect. CONCLUSION: The results provide evidence that both valence and arousal components of affect are important to consider when investigating day-level health bias, and that these effects can be detected using a general population of adults.