Uptake of COVID-19 booster shot among healthcare workers: A mediation analysis approach.

Since the thrust of previous research investigations has been on people's willingness to get immunized against the COVID-19 infection, the underpinning principle of compliance has received very little attention. Addressing the possible drivers and mechanisms influencing vaccine acceptance may provide significant insights for limiting the pandemic. In response, we intend to investigate the influence of decision regret and the consequences of post-vaccination adverse effects on the inclination to undertake booster shots. An electronic survey that was self-administered was conducted in Rawalpindi, Pakistan. The questionnaire was completed by 1,369 participants, with a response rate of 41%. 1,343 of them (98.10%) had received both doses of the COVID-19 vaccination. Besides, the present research has also adopted a mediation model. Our findings demonstrate that unfavorable vaccination responses in healthcare workers significantly affect their likelihood of receiving booster shots. Interestingly, healthcare workers who had adverse experiences after being immunized were more prone to regret their prior immunization decisions, which in response affected their decision to get a booster shot. The motivation to receive the booster dosage and adverse post-vaccination responses were mediated by decision regret. The outcomes suggested indissociable connections between unfavorable vaccination responses, decision regret, and the likelihood of receiving a booster shot. To strengthen immunization acceptance intent and enhance the likelihood of receiving COVID-19 booster shots, it is recommended that awareness of these post-vaccination adverse events be extensively integrated into immunization awareness programs and policy measures supporting booster doses.

Micronutrient deficiencies and cardiac health.

Inadequate diet and nutritional quality are potentially correlated with an escalated risk of cardiac-related morbidity and mortality. A plethora of knowledge is available regarding the influence of heart-healthy dietary patterns in response to disability-adjusted life years (DALYs), yet little is known regarding the best approaches to adopt. In response, the present investigation aims to bridge this knowledge gap by implementing mathematical machine learning grey methodology to assess the degree of influence and the potential contributing factors in DALYs due to ischemic heart disease and stroke, in conjunction with the Hurwicz (Min-Max) criterion. The outcomes highlighted that a diet low in fruits is a potential contributor to IHD-related DALYS, whereas a diet low in vegetables is a more grounded contributor to stroke-related DALYs in Spain, among others. Moreover, the Hurwicz approach highlighted IHD to be more impacted due to dietary and nutritional factors than stroke. In conclusion, our investigation strongly supports a balanced diet and precision nutrition guidelines as a strategy for reducing cardiac-related diseases in the Spanish population. It is a public health primary consideration to build an ambiance that encourages, rather than hinders, compliance with cardioprotective dietary practices among all people.

Cardiovascular Disease Mortality and Potential Risk Factor in China: A Multi-Dimensional Assessment by a Grey Relational Approach.

Objectives: This study aims to investigate the impact of hypertension, diabetes, and high blood cholesterol on increased mortality from cardiovascular diseases such as coronary heart disease, stroke, and pulmonary heart disease in a multi-dimensional way. Methods: The grey relational analysis methodology is adopted to assess the connection between cardiac risk factors and related mortality. The Hurwicz and the Conservative (Min-Max) criterion approach are also utilized to identify the prospective risk factor that contributes the most to increased cardiac mortality. Results: The findings reveal that hypertension has a more grounded relationship with stroke and pulmonary heart disease mortality, whereas high blood cholesterol appears to be the leading contributor to deaths from coronary heart disease. The results based on the Hurwicz and the Min-Max criterion show a robust connection between dyslipidemia, coronary heart disease, and cardiovascular disease mortality. Conclusion: Combating uncontrolled blood cholesterol and blood pressure levels would necessitate a multi-pronged strategy at both the national and local levels. Besides, the suggested methodologies provide a valuable tool and additional practical knowledge for public health policymakers and decision-makers in drawing rational decisions to combat China's rising CVD burden.

Application of Grey-Based SWARA and COPRAS Techniques in Disease Mortality Risk Assessment.

The health industry is amongst the most affected systems in terms of multiobjective decision-making, rendering the final solution, vulnerable to errors; however, multicriteria decision analysis (MDCA) emerges as a supportive tool for the process of decision-making. Therefore, the present study seeks to offer an MCDA framework for assessing and identifying the potential influence of socioeconomic risk factors on noncommunicable disease mortality. We adopted a subjective approach of grey-based Step-wise Weight Assessment Ratio Analysis (SWARA) and COmplex PRoportional Assessment (COPRAS) approach to calculate weights of parameters and criteria, respectively, and then rank them based on their degree of significance. The findings reveal that CRD mortality is potentially affected by the selected socioeconomic risk variables followed by IHD and cancer. Implementing MCDA techniques in the present study will assist the public health practitioners and policymakers in drawing decisions on the best strategy to reduce CRD mortality, which contributes significantly to raising overall mortality.

Socioeconomic Influence on Cardiac Mortality in the South Asian Region: New Perspectives from Grey Modeling and G-TOPSIS.

Background: Measuring the potential socioeconomic factors of cardiac mortality is fundamental to identifying treatments, setting priorities, and effectively allocating resources to minimize disease burden. The study sought to present a methodology that explores the connections between urbanization, population growth, human development index (HDI), access to energy, unemployment, and cardiovascular disease (CVD) mortality within the South Asian Association for Regional Cooperation (SAARC) nations to mitigate the cardiac disease burden. Methods: This investigation uses multiple-criteria decision-making methodologies to analyze data between 2001 and 2017 commencing with a mathematical grey incidence analysis (GIA) methodology to estimate weights and rank nations based on CVD mortality. Then, utilizing the conservative min-max model approach, we sought to determine which country contributes the most to CVD mortality among all South Asian nations. The grey preference by similarity to ideal solution (G-TOPSIS) method is adopted for further optimization by prioritizing the selected factors that have the greatest influence on CVD mortality. Results: The estimated statistic highlights that, among SAARC nations, Pakistan has a significant proportion of the disease burden attributable to cardiac events. In addition, HDI showed a significant contribution in the reduction of CVD mortality, whereas unemployment showed a significant contribution in the rise of CVD mortality among all selected variables. Conclusions: This investigation may facilitate researchers with a multiple-criteria decision-making roadmap to help them enhance the quality of their studies and their understanding of how to use multiple-criteria decision-making techniques to evaluate and prioritize the influencing factors of disease mortality in healthcare research. Further, the study outcomes provide additional practical knowledge for appropriate policy solutions.

Cardiovascular disease (CVD): assessment, prediction and policy implications.

BACKGROUND: The study aims to predict and assess cardiovascular disease (CVD) patterns in highly affected countries such as Pakistan, India, China, Kenya, the USA, and Sweden. The data for CVD deaths was gathered from 2005 to 2019. METHODS: We utilized non-homogenous discrete grey model (NDGM) to predict growth of cardiovascular deaths in selected countries. We take this process a step further by utilizing novel Synthetic Relative Growth Rate (RGR) and Synthetic Doubling Time (Dt) model to assess how many years it takes to reduce the cardiovascular deaths double in numbers. RESULTS: The results reveal that the USA and China may lead in terms of raising its number of deaths caused by CVDs till 2027. However, doubling time model suggests that USA may require 2.3 years in reducing the cardiovascular deaths. CONCLUSIONS: This study is significant for the policymakers and health practitioners to ensure the execution of CVD prevention measures to overcome the growing burden of CVD deaths.