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Cumulative Effects of Multiple Modifiable Risk Factors on Cardiovascular Disease Mortality
Jonathan Yunzhou Xiong1, Kai Goldenstein Vonkiel1, Lance Ridpath1
1Department of Clinical Sciences, West Virginia School of Osteopathic Medicine, 400 Lee Street, Lewisburg, WV 24901, USA.
Insights
The cumulative impact of multiple risk factors significantly increases cardiovascular disease mortality in West Virginia counties. Addressing combined socioeconomic and healthcare access issues is crucial for reducing deaths.
Area of Science:
- Public Health
- Epidemiology
- Health Services Research
Background:
- Cardiovascular disease (CVD) remains a leading cause of mortality.
- Understanding the impact of cumulative risk factors on CVD mortality is essential for targeted interventions.
- West Virginia presents a unique setting to study the interplay of socioeconomic and healthcare access factors on CVD outcomes.
Purpose of the Study:
- To evaluate the association between the cumulative burden of modifiable risk factors and cardiovascular disease mortality in West Virginia counties.
- To determine if combined risk factors have a synergistic effect on CVD mortality beyond their individual contributions.
Main Methods:
- Retrospective observational study analyzing CVD mortality rates and modifiable risk factors (income, PCP ratio, Food Desert Status) in West Virginia counties (2011-2020).
- Data sourced from Census Bureau, AMA, USDA, and WV HHS.
- Multiple linear regression and ANOVA were employed to analyze the relationships between risk factors and CVD mortality.
Main Results:
- Combined risk factors showed a stronger association with CVD mortality than individual factors.
- Each individual risk factor (Income, PCP Ratio, FDS) was significantly associated with CVD mortality.
- Significant two-way interactions were found between PCP Ratio and Income, and FDS and Income, indicating synergistic effects.
Conclusions:
- Counties with multiple cumulative risk factors experienced disproportionately higher CVD mortality.
- The combined effect of risk factors on CVD mortality exceeds the sum of their individual impacts.
- Addressing cumulative socioeconomic and healthcare access factors at the county level is critical for mitigating CVD mortality.
Abstract:
Background/Objectives: The study evaluated whether the cumulative burden of multiple, modifiable risk factors worsened cardiovascular disease (CVD) mortality in West Virginia. Methods: This retrospective observational study looked at all CVD mortality rates per county of West Virginia between 2011 and 2020 and each county's modifiable risks. Income, ratio of people per PCP (PCP Ratio), and Food Desert Status (FDS), and the death rate from the Census Bureau, AMA, US Department of Agriculture, and the West Virginia Department of Health and Human Services (WV HHS) were collected, respectively. Multiple linear regression and ANOVA analyses were performed for each combination of factors towards the death rate. Results: Multiple linear regression demonstrated that combined risk factors were more strongly associated with CVD mortality than any single factor alone. Over the 10-year period, West Virginia's population aged overall. Each individual risk factor was significantly associated with CVD mortality (Income: F(1,537) = 53.39, p < 0.0001; PCP Ratio: F(1,537) = 21.49, p < 0.0001; FDS: F(1,537) = 5.13, p = 0.024). Two two-way interactions were significant (PCP Ratio:Income: F(1,537) = 22.03, p < 0.001; FDS:Income: F(1,537) = 5.23, p = 0.022), while the PCP Ratio:FDS interaction and the three-way interaction were not. Conclusions: Counties burdened by several modifiable risk factors experienced disproportionately elevated CVD mortality, exceeding what would be predicted by the additive effects of each risk factor individually. These findings highlighted the importance of addressing cumulative socioeconomic and healthcare access factors at the county level.
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