Journalartikel

Jahr der Veröffentlichung: 2013

Seiten: 194-204

Zeitschrift: Families, Systems & Health

Bandnummer: 31

Heftnummer: 2

ISSN: 1091-7527

DOI Link: https://doi.org/10.1037/a0032314

Verlag: American Psychological Association

Abstract: 

Statistical approaches rooted in econometric methodology, so far foreign to the psychiatric and psychological realms have provided exciting and substantial new insights into complex mind body interactions over time and individuals. Over 120 days, this structured diary study explored the mutual interactions of emotions within a classic 3-person family system with its Type 1 diabetic adolescent's daily blood glucose variability. Glycemic variability was measured through daily standard deviations of blood glucose determinations (at least 3 per day). Emotions were captured individually utilizing the self-assessment manikin on affective valence (negative positive), activation (calm excited), and control (dominated dominant). Auto- and cross-correlating the stationary absolute (level) values of the mutually interacting parallel time series data sets through vector autoregression (VAR, grounded in econometric theory) allowed for the formulation of 2 concordant models. Applying Cholesky Impulse Response Analysis at a 95% confidence interval, we provided evidence for an adolescent being happy, calm, and in control to exhibit less glycemic variability and hence diabetic derailment. A nondominating mother and a happy father seemed to also reduce glycenaic variability. Random shocks increasing glycemic variability affected only the adolescent and her father: In 1 model, the male parent felt in charge; in the other, he calmed down while his daughter turned sad. All reactions to external shocks lasted for less than 4 full days. Extant literature on affect and glycemic variability in Type 1 diabetic adolescents as well as challenges arising from introducing econometric theory to the field were discussed.

Harvard-Zitierstil: Günther, M., Winker, P., Böttcher, C. and Brosig, B. (2013) Family system dynamics and type 1 diabetic glycemic variability: A vector-auto-regressive model, Families, Systems & Health, 31(2), pp. 194-204. https://doi.org/10.1037/a0032314

APA-Zitierstil: Günther, M., Winker, P., Böttcher, C., & Brosig, B. (2013). Family system dynamics and type 1 diabetic glycemic variability: A vector-auto-regressive model. Families, Systems & Health. 31(2), 194-204. https://doi.org/10.1037/a0032314