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

G. Klabbers, H. Bosma, G.I.J.M. Kempen, M. Benzeval, M. van den Akker, J.T.M. van Eijk

Research output: Contribution to journalArticleAcademicpeer-review

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.
Original languageEnglish
Pages (from-to)357-368
Number of pages12
JournalJournal of Behavioral Medicine
Volume37
Issue number3
DOIs
Publication statusPublished - Jun 2014

Keywords

  • Psychosocial profile
  • Incident morbidity
  • All-cause mortality
  • Self-rated health
  • Late middle aged and older persons
  • Longitudinal cohort study
  • CORONARY-HEART-DISEASE
  • PERSONALITY-TRAITS
  • SOCIAL SUPPORT
  • SOCIOECONOMIC INEQUALITIES
  • CARDIOVASCULAR-DISEASE
  • INCIDENT DEPRESSION
  • 5-FACTOR MODEL
  • RISK-FACTORS
  • HOSTILITY
  • ANGER

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