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Implications of the COVID-19 Pandemic for Cardiovascular Disease and Risk-Factor Management.

ABSTRACT: COVID-19 and our public health responses to the pandemic may have far-reaching implications for cardiovascular (CV) risk, affecting the general population and not only survivors of COVID-19. In this narrative review, we discuss how the pandemic may affect general CV risk for years to come and explore the mitigating potential of telehealth interventions. From a health care perspective, the shift away from in-person office visits may have led many to defer routine risk- factor management and may have had unforeseen effects on continuity of care and adherence. Fear of COVID-19 has led some patients to forego care for acute CV events. Curtailment of routine outpatient laboratory testing has likely delayed intensification of risk-factor-modifying medical therapy, and drug shortages and misinformation may have negative impacts on adherence to antihypertensive, glucose-lowering, and lipid-lowering agents. From a societal perspective, the unprecedented curtailment of social and economic activities has led to loss of income, unemployment, social isolation, decreased physical activity, and increased frequency of depression and anxiety, all of which are known to be associated with worse CV risk-factor control and outcomes. We must embrace and evaluate measures to mitigate these potential harms to avoid an epidemic of CV morbidity and mortality in the coming years that could dwarf the initial health effects of COVID-19.

SUBMITTER: Lau D

PROVIDER: S-EPMC7667463 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:Background and purposeIn multiple sclerosis (MS), disease-related factors and dysfunctional coping might favor the development of mental distress induced by COVID-19 containment measures. Aim of this study was exploring the relationship between disability, coping strategies, daily life reorganization and neuropsychiatric symptoms in an Italian MS population during the COVID-19 lockdown, in order to identify potentially modifiable factors that could inform clinical management of mental distress in people with MS.MethodsWe explored the relationship between mental distress, disability and coping strategies in the Italian MS population under lockdown. Structural equation modeling was applied to information collected via web survey to identify modifiable factors that could account for mental distress.ResultsA total of 845 participants (497 with MS and 348 controls) were included in the study. The MS group had higher scores than the control group for depression (p = 0.005), but not for anxiety, emotional dyscontrol or sleep disturbances. The structural equation modeling explained 74% of the variance observed in depression score. Within the model, three latent factors were characterized from measured variables: motor disability and cognitive dysfunction contributed to disability (β = 0.509 and β = 0.836; p < 0.001); positive attitude and exercise contributed to active attitude (β = 0.386 and β = 0.297; p < 0.001); and avoidance, social support and watching television contributed to passive attitude (β = 0.301, β = 0.243 and β = 0.212; p < 0.001). With regard to the relationship between latent factors and their influence on depression, disability contributed to passive attitude (β = 0.855; p < 0.001), while both passive and active attitude significantly influenced depression (β = 0.729 and β = -0.456; p < 0.001).ConclusionAs a practical implication of our model, favoring exercise would enhance active attitude and its positive impact on mental well-being while, at the same time, reducing the negative impact of disability on depression, representing a valuable tool in facing COVID-19-related mental distress.

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Implications of the COVID-19 Pandemic for Cardiovascular Disease and Risk-Factor Management.

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