Impact of quality of life in developing cardiovascular disease later in life: Graphical chain model of the English Longitudinal Study of Ageing (ELSA)

Abstract

IntroductionThe aim of this paper is to demonstrate how graphical chain models can be used to model how cardiovascular disease affected quality of life in later life over the course of 17 years of data. MethodsWaves 1-9 of the English Longitudinal Study of Ageing was used to investigate how quality of life changed over each wave using the CASP-19 questionnaire, and whether having experienced a cardiovascular event had an effect on quality of life. ResultsA total of 12,099 participants were included in the study. Participants had a mean age of 64.2 years, the majority of which were over 50 years old. Older people are more likely to have cardiac events. A one-unit rise in CES-D 8-item score was related with a 14% increased risk of CVD at Wave 1. Those with an O-level, A-level, or degree (or equivalent) had lower CVD risks than those with no education. Women had half the CVD risk of men. Living alone reduced the risk of a CVD-event by 15%. Moderate and vigorous exercise lowered cardiac event risk compared to no exercise. Current or ex-smokers have a 30% higher risk of CVD than non-smokers. Cardiovascular event was significantly associated with quality of life at waves 1 and 2 only. DiscussionEvents related to cardiovascular disease only affected quality of life in later life up to 4 years. Factors such as age, depression, perceived position on social ladder, and high levels of physical activity affected quality of life throughout the majority of waves.