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University of Groningen Affect and physical health Schenk, Maria

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University of Groningen

Affect and physical health

Schenk, Maria

IMPORTANT NOTE: You are advised to consult the publisher's version (publisher's PDF) if you wish to cite from it. Please check the document version below.

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Publication date: 2017

Link to publication in University of Groningen/UMCG research database

Citation for published version (APA):

Schenk, M. (2017). Affect and physical health: Studies on the link between affect and physiological processes. Rijksuniversiteit Groningen.

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Summary

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Summary

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Affect and health

The main goal of this thesis was to study the association between affect and health at both the between-subject and the within-subject level. Especially for the latter, time series analyses are a necessity. Time series are formed by multiple observations in one individual, and these can be col-lected in an intensive day-to-day study design. To reduce the burden of the research protocol on participants, we explored the possibilities of non-invasive sampling to measure biomarker levels. In addition, we explored the possibility to combine self-reported diary data with physiological data from existing technologies, like Fitbit or smartwatches. In the second part of the thesis, we examined the associations between both positive affect (PA) and negative affect (NA) and health indicators at both the between-subject and the within-subject level.

Part 1: New methods in biobehavioral research

In part 1 of the thesis, the possibilities to measure physiological biomarkers in samples which can be obtained non-invasively were studied. In chapter 2, we studied the presence of inflammatory markers in urine, to investigate whether it is possible to use urine for non-invasive sampling in inten-sive day-to-day studies in healthy individuals in daily life. Inflammatory markers in urine can be obtained and measured using immunological techniques, and also show variability in levels over time. We showed expression levels of several inflammatory markers can be detected in 24 hour urine in healthy individuals.

In chapter 3, the association between hair cortisol, the primary stress hormone, and urinary cortisol levels was explored. Urinary cortisol levels reflect the levels of cortisol over the past 24 hours, whereas hair cortisol is a measure of cortisol levels over the past several weeks or months. However, to date it was not clear to which degree time series of urinary cortisol correlate with hair cortisol reflecting the same time period. We demonstrated that correlations between hair cortisol and time series of urinary cortisol levels are low to moderate.

Saliva can be collected relatively easy as well. In chapter 4, it was explored whether brain-de-rived neurotrophic factor (BDNF), a protein responsible for synaptic plasticity, could be detected in saliva of healthy individuals with commercially available assays. Unfortunately, BDNF could not be detected in saliva samples of healthy individuals with the available assays.

Lastly, in chapter 5, a new technology was introduced to combine diary data with sensor data collected with smartphones, smartwatches, and wearables. A technical platform to combine data from wearables and diary studies was not available yet. Therefore, Physiqual was developed, which is an online program combining data collected in diary studies with physiological data as assessed using wearables. We present a case study in which the use of Physiqual is shown.

Part 2: Association between affect and physiology

The next step was to apply the aforementioned technologies and findings in biobehavioral re-search to explore the association between affect and subjective and objective health indicators at both the between-individual and within-individual level. All three studies were done in partici-pants of the general population.

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Chapter 10

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In chapter 6, the associations between affect and somatic symptoms at both the between-in-dividual and within-inbetween-in-dividual level were studied in participants who participated in the diary study of HowNutsAreTheDutch (www.hoegekis.nl, Dutch). We showed that NA is more important than PA for differences in levels of somatic symptoms between persons. However, PA is more im-portant for variations in levels of somatic symptoms within persons. At both the within-individual and between-individual levels, the association between NA and somatic symptoms was positive, and the association between PA and somatic symptoms was negative. In addition, the lagged association suggested that an increase in PA is followed by a decrease in somatic symptoms after 24 hours, which might suggest a causal effect.

In chapter 7, the association between affect and allostatic load (AL) was explored in a cross-sectional study. AL is a multi-systemic measure of cumulative physiological damage. We showed that PA is inversely associated with AL in a sample from the general population. This association remained when adjusted for NA and life style factors like smoking, alcohol use and physical activity.

In chapter 8, we studied the association between PA and NA and the expression of inflam-matory markers in healthy individuals. Ten healthy individuals filled out the PANAS each night before going to bed, and collected 24-hour-urine for 63 consecutive days. Expression levels of eight inflammatory markers were measured using multiplex array analyses. We found that the associations between different inflammatory markers and affect show considerable heterogen-eity between individuals. In addition, positive affect is mainly negatively associated with inflam-matory markers at the within-individual level. And lastly, an increase of low-grade inflammation on a given day, is associated with a decrease in positive affect, and increase in negative affect the next day in several individuals.

Overall, it was shown to be feasible to measure physiological biomarkers in samples which can be obtained non-invasively in an intensive day-to-day study. In addition, the findings in this thesis imply that PA has a positive effect on health.PA is inversely associated with somatic symp-toms and detrimental biomarkers, both at the between-individual and the within-individual level. However, the associations found within individuals are heterogeneous, meaning that the associa-tions differ between individuals. More research is necessary to better understand the effect of affect, the possible protective role of PA, and pathological effects of psychopathology in the long run.

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