Factors of change and cumulative factors in self-rated health trajectories: A systematic review

TitleFactors of change and cumulative factors in self-rated health trajectories: A systematic review
Publication TypeJournal Article
Year of Publication2014
AuthorsCullati, S, Rousseaux, E, Gabadinho, A, Courvoisier, D, Burton-Jeangros, C
JournalAdvances in Life Course Research
Volume19
Pagination14-27
Date Published03/2014
ISSN10402608
Keywordscumulative advantage and disadvantage, health inequalities, health trajectories, self-rated health
Abstract

In Western societies, self-rated health (SRH) inequalities have increased over the past decades. Longitudinal studies suggest that the SRH trajectories of disadvantaged populations are declining at a faster rate than those of advantaged populations, resulting in an accumulation of (dis)advantages over the life course, as postulated by the Cumulative Advantage/Disadvantage (CAD) model. The objectives of this study are to conduct a systematic review of the factors influencing SRH trajectories in the adult population and to assess to what extent the findings support the CAD model. Based on the inclusion criteria, 36 articles, using 15 nationally representative databases, were reviewed. The results show that young age, high socioeconomic position and marital transitions (entering a partnership) are advantageous factors of change in SRH trajectories. However, evidence for cumulative influences supporting the CAD model remains limited: gender, ethnicity, education and employment status are only moderately associated with growing influences over time, and the cumulative influences of income, occupation, age and marital status are weak. In conclusion, this systematic review provides consolidated evidence on the factors influencing SRH trajectories, though the inclusion of only 15 nationally representative databases may limit the generalization of the results.

URLhttp://linkinghub.elsevier.com/retrieve/pii/S1040260813000415
DOI10.1016/j.alcr.2013.11.002
Short TitleAdvances in Life Course Research