The EPIC-Norfolk Study
Self-rated health and cardiovascular disease incidence: results from a longitudinal population-based cohort in Norfolk, UK.
PLoS ONE 2012 ; 8: e65290.
van der Linde RM, Mavaddat N, Luben R, Brayne C, Simmons RK, Khaw KT, and Kinmonth AL
DOI : 10.1371/journal.pone.0065290
PubMed ID : 23755212
PMCID : PMC3670935
URL : https://pubmed.ncbi.nlm.nih.gov/23755212/
Abstract
Self-rated health (SRH) predicts chronic disease morbidity including cardiovascular disease (CVD). In a population-based cohort, we examined the association between SRH and incident CVD and whether this association was independent of socio-demographic, clinical and behavioural participant characteristics.
Population-based prospective cohort study (European Prospective Investigation of Cancer-Norfolk). 20,941 men and women aged 39-74 years without prevalent CVD attended a baseline health examination (1993-1998) and were followed for CVD events/death until March 2007 (mean 11 years). We used a Cox proportional hazards model to quantify the association between baseline SRH (reported on a four point scale--excellent, good, fair, poor) and risk of developing CVD at follow-up after adjusting for socio-demographic, clinical and behavioural risk factors.
Baseline SRH was reported as excellent by 17.8% participants, good by 65.1%, fair by 16.0% and poor by 1.2%. During 225,508 person-years of follow-up, there were 55 (21.2%) CVD events in the poor SRH group and 259 (7.0%) in the excellent SRH group (HR 3.7, 95% CI 2.8-4.9). The HR remained significant after adjustment for behavioural risk factors (HR 2.6, 95% CI 1.9-3.5) and after adjustment for all socio-demographic, clinical and behavioural risk factors (HR 3.3, 95% CI 2.4-4.4). Associations were strong for both fatal and non-fatal events and remained strong over time.
SRH is a strong predictor of incident fatal and non-fatal CVD events in this healthy, middle-aged population. Some of the association is explained by lifestyle behaviours, but SRH remains a strong predictor after adjustment for socio-demographic, clinical and behavioural risk factors and after a decade of follow-up. This easily accessible patient-centred measure of health status may be a useful indicator of individual and population health for those working in primary care and public health.