The combined effect of socioeconomic position and C-reactive protein for predicting incident cardiometabolic disease: Findings from a 14-year follow-up study of the English Longitudinal Study of Ageing (ELSA)

Lydia Poole; Antonio I Lazzarino; Kimberley J Smith; Ruth A Hackett

doi:10.1016/j.ssmph.2023.101520

The combined effect of socioeconomic position and C-reactive protein for predicting incident cardiometabolic disease: Findings from a 14-year follow-up study of the English Longitudinal Study of Ageing (ELSA)

SSM Popul Health. 2023 Sep 25:24:101520. doi: 10.1016/j.ssmph.2023.101520. eCollection 2023 Dec.

Authors

Lydia Poole¹, Antonio I Lazzarino², Kimberley J Smith¹, Ruth A Hackett³

Affiliations

¹ Department of Psychological Interventions, School of Psychology, University of Surrey, Guildford, United Kingdom.
² Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom.
³ Health Psychology Section, Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.

Abstract

Cardiovascular disease and diabetes are leading causes of morbidity and mortality worldwide. Social inequalities in the distribution of these diseases across the population exist. The aim of the current study was to examine the additive effect of socioeconomic position and a known biological risk marker (C-reactive protein [CRP]) for future incident cardiometabolic disease. We used data from the English Longitudinal Study of Ageing (N = 5410). Tertiles of net financial wealth and CRP (>3 mg/L) were measured at wave 2 (2004/05) and disease incidence (coronary heart disease [CHD], stroke, diabetes/high blood glucose) was reported across the subsequent 14 years of follow-up (2006-2019). Individual diseases were modelled as well as cardiometabolic multimorbidity which was defined as 2 or more incident cardiometabolic disease diagnoses over follow-up. Participants were free from the disease of interest at baseline. Cox proportional hazard and logistic regression analyses were used controlling for sociodemographic, lifestyle and health-related covariates. After adjusting for all covariates, the combination of low wealth and elevated CRP was an independent predictor of incident diabetes/high blood glucose (Hazard Ratio (HR) = 2.14; 95% Confidence Interval (C.I.) = 1.49-3.07), CHD (HR = 2.48, 95% C.I. = 1.63-3.76), stroke (HR = 1.55; 95% C.I. = 1.18-2.04), relative to high wealth/low CRP. Low wealth and elevated CRP was also an independent predictor of incident cardiometabolic multimorbidity (Odds Ratio = 2.22, 95% C.I. = 1.16-4.28) in age and sex adjusted models. The presence of both low wealth and elevated CRP was implicated in the onset of CHD, stroke, diabetes/high blood glucose, and cardiometabolic multimorbidity up to 14 years later, reflecting the role of psychobiological processes in predicting disease burden. Our results reinforce calls for efforts to tackle structural inequalities to improve healthy ageing trajectories.

Keywords: C-reactive protein; Coronary heart disease; Diabetes; Longitudinal; Multimorbidity; Socioeconomic position; Stroke; Wealth.