Coordinated Analysis of Ecological Momentary and Daily Diary Studies of Everyday Stress and Affect
Year: 2017
Type: conference-abstract
Abstract: Emotional responses to everyday stress have been linked to important age-related health outcomes, such as chronic disease, cognitive decline and dementia, and mortality. This symposium illustrates the value of conducting coordinated analyses across multiple intensive repeated measures studies that assessed everyday stress and affect for answering these questions for elucidating the proximal mechanisms through which everyday stress impacts health and health behaviors. Sliwinski provides an overview of some of the unresolved questions regarding age difference in everyday stress, the differences between momentary and end-of-day (EOD) assessments, and how conducting coordinated analyses of multiple data sets can advance scientific knowledge. Scott & Sliwinski presents a paper that examines age differences in the affective variability across different time scales (within-day vs. between-days) and whether this variability can be reliably measured. Zawadzki, Almeida & Smyth directly contrast momentary vs. typical EOD reports of stressor to illustrate how assessment methods and the temporal frame of self-report assessments interact with age to influence the frequency of stress reporting. Stawski & Almeida attempt to explain the variability in findings regarding age differences in emotional reactivity to everyday stressors by contrasting results across multiple studies that utilized momentary and EOD reports of stressors and affective experiences. Lis Nielsen will provide a discussion that integrates findings from these papers in the context of initiatives advanced by the National Institutes of Health (NIH) Science of Behavior Change Common Fund Program.
Source: Innovation in Aging
Authors: M. Sliwinski, S.B. Scott, L. Nielsen
Language: English
Subfield: Experimental and Cognitive Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $3,977
Funder: National Institutes of Health
OpenAlex ID: W2732981067
