Positive affect state is a good predictor of movement and stress: combining data from ESM/EMA, mobile HRV measurements and trait questionnaires
Heliyon, ISSN: 2405-8440, Vol: 7, Issue: 2, Page: e06243
2021
- 18Citations
- 42Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Metrics Details
- Citations18
- Citation Indexes18
- CrossRef18
- 18
- Captures42
- Readers42
- 42
Article Description
Personality describes the average behaviour and responses of individuals across situations; but personality traits are often poor predictors of behaviour in specific situations. This is known as the “personality paradox”. We evaluated the interrelations between various trait and state variables in participants’ everyday lives. As state measures, we used 1) experience sampling methodology (ESM/EMA) to measure perceived affect, stress, and presence of social company; and 2) heart rate variability and 3) real-time movement (accelerometer data) to indicate physiological stress and physical movement. These data were linked with self-report measures of personality and personality-like traits. Trait variables predicted affect states and multiple associations were found: traits neuroticism and rumination decreased positive affect state and increased negative affect state. Positive affect state, in turn, was the strongest predictor of observed movement. Positive affect was also associated with heart rate and heart rate variability (HRV). Negative affect, in turn, was not associated with neither movement, HR or HRV. The study provides evidence on the influence of personality-like traits and social context to affect states, and, in turn, their influence to movement and stress variables.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S2405844021003480; http://dx.doi.org/10.1016/j.heliyon.2021.e06243; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85101508728&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/33681494; https://linkinghub.elsevier.com/retrieve/pii/S2405844021003480; https://dx.doi.org/10.1016/j.heliyon.2021.e06243
Elsevier BV
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