
BackgroundThis investigation examines the worldwide impact of cardiovascular diseases (CVD) resulting from inadequate vegetable consumption, based on the 2021 Global Burden of Disease Study data.MethodThe study assessed the global, regional, and national repercussions of low vegetable intake on CVD, with a focus on variations among different age and gender demographics. It further analyzed the correlation between disease burden and the Socio-Demographic Index (SDI), and employed an ARIMA model to predict future trends in CVD associated with insufficient vegetable consumption up to 2050.ResultIn 2021, a diet lacking in vegetables was responsible for roughly 682,400 deaths and 16 million disability-adjusted life years (DALYs) attributed to CVD, indicating a declining pattern over recent year. Individuals aged 75 and older were predominantly affected. Future projections indicate an expected rise in CVD incidence in lower-middle SDI regions, with African nations potentially experiencing increased challenges related to low vegetable consumption by 2030 and 2050.ConclusionThe findings underscore the critical necessity for preventive measures against CVD and emphasize the significance of improving dietary habits, particularly vegetable intake.
vegetables, disease burden, RC666-701, mortality forecasting, Diseases of the circulatory (Cardiovascular) system, epidemiology, Cardiovascular Medicine, cardiovascular diseases
vegetables, disease burden, RC666-701, mortality forecasting, Diseases of the circulatory (Cardiovascular) system, epidemiology, Cardiovascular Medicine, cardiovascular diseases
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 9 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
