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Health status of Indian population--current scenario
Tester F Ashavaid1, Seema P Todur, Alpa J Dherai
1Department of Biochemsitry, P. D. Hinduja National Hospital and Medical Research Centre, Veer Savarkar Marg, Mahim, Mumbai. dr_tashavaid@hindujahospital.com
Insights
Establishing reference intervals for biochemical and hematological analytes is crucial. This study found high prevalence of hypertension and diabetes, highlighting the need for lifestyle changes to reduce coronary artery disease (CAD) risk.
Area of Science:
- Clinical Biochemistry
- Hematology
- Epidemiology
Background:
- Establishing population-specific reference intervals for biochemical and hematological analytes is essential for accurate health assessments.
- Coronary Artery Disease (CAD) prevalence and associated risk factors require ongoing investigation within diverse populations.
Purpose of the Study:
- To establish reference intervals for biochemical and hematological analytes in a healthy population.
- To determine the prevalence of CAD and identify associated risk factors in a large cohort undergoing health check-ups.
Main Methods:
- Manual screening of medical records for 39,940 subjects from 1996-2001.
- Utilizing SPSS-8.0 for statistical analysis, including percentile calculations and 90% confidence intervals (CI).
Main Results:
- Prevalence rates: Hypertension (22.5%), Diabetes Mellitus (14.2%), and Coronary Artery Disease (CAD) (3.9%).
- Only 41.1% of the population was normolipemic; reference intervals for lipids may require adjustment, potentially reclassifying individuals at higher CAD risk.
- Most analytes aligned with existing reference values, with no observed influence of diet on these intervals.
Conclusions:
- Adjusting lipid reference intervals presents a clinical dilemma, potentially impacting CAD risk assessment.
- Lifestyle and dietary modifications are critical interventions to mitigate the public health burden of CAD in this population.
Objective:
We aimed at establishing reference intervals for the various biochemical and hematological analytes in healthy population. We also tried to find the percentage of people with coronary artery disease (CAD) and the associated risk factors in 39,940 subjects who had attended the health check up program at our hospital from the years 1996 to 2001.
Methods:
The medical record folders of all the subjects were screened manually. Reference values were established using SPSS-8.0 package and the percentiles calculated and with it the corresponding 90% confidence interval (CI).
Results:
The prevalence of hypertension, diabetes mellitus, and coronary artery disease was found to be 22.5%, 14.2%, and 3.9% respectively. In addition only 41.1% of the population was found to be normolipemic. Most of the analytes showed reference intervals which were in agreement with our reporting values. There was no influence of diet on the reference intervals. Also, there were some analytes like lipids where it was felt that changing the reference values would assign the subjects at greater risk for CAD.
Conclusion:
Implementation of reference intervals in case of lipids poses a dilemma. Lifestyle and diet modifications would have to be implemented to reduce the burden of CAD in this population.
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