Observational analysis reveals associations of cardiovascular risk factors and socioeconomic status, indicating critical intervention areas.
Association between socioeconomic status (SES) with cardiovascular disease (CVD) and cardiovascular risk factors (CVRFs) have been observed empirically with contrasting results over genders and age-profiles. Better understanding of relationships between SES and CVRFs is critical in identifying optimal medical, social, and economic interventions to mitigate the burden of CHD, particularly among vulnerable groups. For a given time period, the paper describes age-specific and gender-specific index of cardiovascular risk factors ( and Index of socio-economic status (for a region by normally distributed scores, avoiding limitations of ordinal/categorical scores facilitating parametric analysis for meaningful comparisons, classification, identification of critical areas and integration of various scales. Association between and can be established by correlation, multivariate regression of the form or by canonical correlation analysis considering p-numbers of CVRFs and q-dimensional vector of SES, even if Empirical relationship can also be estimated between actual CVD prevalence or CVD death rate and the proposed indices and/or along with fluctuation of association across time. Relationship between SES and CVD-risks along with identification of critical areas helps to plan medical, social, and economic interventions to mitigate the burden of CHD. Professionals and researchers can take advantages of the proposed method including detection of changes by longitudinal data and better evaluating psychometric parameters from single administration.
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Satyendra Nath Chakrabartty (2024) studied this question.
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