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Gepubliceerd in: Journal of Behavioral Medicine 3/2014

01-06-2014

Do psychosocial profiles predict self-rated health, morbidity and mortality in late middle-aged and older people?

Auteurs: Gonnie Klabbers, Hans Bosma, Gertrudis Ignatius Johannes Maria Kempen, Michaela Benzeval, Marjan Van den Akker, Jacques Theodorus Margaretha van Eijk

Gepubliceerd in: Journal of Behavioral Medicine | Uitgave 3/2014

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Abstract

Considering many psychosocial health risk factors are interrelated, determining psychosocial health risk might benefit from a more person-centered perspective. This paper explores to what extent a psychosocial profile that combines potentially synergistic effects of different psychosocial characteristics, including psychological attributes and functioning, coping styles and social support, predicts self-rated health, morbidity and mortality. Prospective, longitudinal data from 1,912 Dutch participants aged 55–91 years were used to determine distinct psychosocial profiles by means of two-step cluster analysis. The predictive power of these profiles over a 5-year follow-up was calculated with Cox regression models for all-cause mortality and general practitioner-diagnosed somatic morbidity, and logistic regression models for self-rated health. Three distinct psychosocial risk profiles emerged: an adverse, an average and a beneficial profile. These profiles strongly predicted self-rated health but not morbidity or mortality. The health effects of the cluster (profile) model suggest synergism between the psychosocial characteristics. Future research should replicate our findings to further validate the approach.
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Metagegevens
Titel
Do psychosocial profiles predict self-rated health, morbidity and mortality in late middle-aged and older people?
Auteurs
Gonnie Klabbers
Hans Bosma
Gertrudis Ignatius Johannes Maria Kempen
Michaela Benzeval
Marjan Van den Akker
Jacques Theodorus Margaretha van Eijk
Publicatiedatum
01-06-2014
Uitgeverij
Springer US
Gepubliceerd in
Journal of Behavioral Medicine / Uitgave 3/2014
Print ISSN: 0160-7715
Elektronisch ISSN: 1573-3521
DOI
https://doi.org/10.1007/s10865-013-9493-x

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