Mohammed Aadil Buchya
Biographic Data
| ID | 237246 |
|---|---|
| NAME | Mohammed Aadil Buchya |
| GIVEN NAMES | Mohammed Aadil |
| FAMILY NAME | Buchya |
| SIGNATURE | BUCHYA M A |
| AFFILIATIONS | University of Warwick |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Ethnicity, subjective wellbeing, and cardiovascular disease: Insights from path and machine learning analyses using data from the UK biobank
This study underscores the critical need for ethnic-specific health interventions and highlights the complex interplay between demographic factors, CVD, and SWB. Our findings offer a foundation for developing targeted public health strategies and policies aimed at reducing health disparities and improving wellbeing across ethnic groups. Future research should continue to explore these relationships, emphasising the importance of culturally sensit…
Ethnic-Specific Threshold Analysis and BMI and Waist Circumference Cutoffs for Cardiovascular Disease and Subjective Wellbeing: Results using Data from the UK Biobank
Objectives We aimed to identify ethnicity-specific BMI and waist circumference cutoffs for cardiovascular disease (CVD) and to define optimal thresholds for CVD risk and subjective wellbeing (SWB) through predictive modelling, to inform precise public health initiatives. Methods We used data from 296,767 UK Biobank participants and adjusted logistic and linear regression models for CVD and SWB, respectively, complemented by receiver operating cha…
No prominent works on this page.
Ethnic-Specific Threshold Analysis and BMI and Waist Circumference Cutoffs for Cardiovascular Disease and Subjective Wellbeing: Results using Data from the UK Biobank
Objectives We aimed to identify ethnicity-specific BMI and waist circumference cutoffs for cardiovascular disease (CVD) and to define optimal thresholds for CVD risk and subjective wellbeing (SWB) through predictive modelling, to inform precise public health initiatives. Methods We used data from 296,767 UK Biobank participants and adjusted logistic and linear regression models for CVD and SWB, respectively, complemented by receiver operating cha…
Ethnicity, subjective wellbeing, and cardiovascular disease: Insights from path and machine learning analyses using data from the UK biobank
This study underscores the critical need for ethnic-specific health interventions and highlights the complex interplay between demographic factors, CVD, and SWB. Our findings offer a foundation for developing targeted public health strategies and policies aimed at reducing health disparities and improving wellbeing across ethnic groups. Future research should continue to explore these relationships, emphasising the importance of culturally sensit…
Biobank (2 works) · Cardiovascular Health and Risk Factors (2 works) · Disease (2 works) · Ethnic group (2 works) · Public health (2 works) · Bioinformatics (1 works) · Biostatistics (1 works) · Body mass index (1 works) · Cardiac Health and Mental Health (1 works) · Demography (1 works)