Estimation of cardiovascular diseases (CVD) risk using WHO/ISH risk prediction charts in tribal population of Chamarajanagar district, Karnataka

Abstract

Background: India is the home to almost half the tribal population of the world and is second to Africa in terms of tribal mass. Because of acculturation many of these tribal have come out and relocated themselves outside the forest. As a result, life style has been changed which resulted in development of non-communicable diseases. In this context this study was carried out to estimate the prevalence CVD risk factors and to predict the cardiovascular events among tribal population, utilizing WHO/ISH risk prediction chart. Methods: Community based cross sectional study done for a period of 3 months. Information regarding socio demographic profile and risk factors were collected. Anthropometric measurements, Blood pressure, Random capillary Blood glucose were recorded. WHO/ISH risk prediction chart for SEAR D was used to assess the CVD risk in next 10 year. Data was analysed used SPSS version 25. Results were expressed as percentage and mean. Chi square test was used to find out the association. Results: Among 120 study population, 33.3% belongs to the age group of 40-49 years, 55% were females, 59.2% belongs to nuclear family, 39.2% were unskilled and 62.5% were uneducated. Prevalence of CVD risk factors among were as follows: Tobacco consumption (25.8%), alcohol (16.7%), diabetes (3.33%), hypertension (48.3%) and obesity (19.2%). 62.5% population had less than 10% (mild) risk and 11.7% had ≥40% (high) risk of developing. Conclusion: Aggressive screening is needed as many were unaware about theirs NCD status.

A study on dyslipidemia and its association with body mass index and smoking with or without chronic obstructive pulmonary disease among tribal population attending a teaching hospital in West Bengal state of India

“…: Low-density lipoprotein, HDL: High-density lipoprotein, COPD: Chronic obstructive pulmonary disease weight, 29 patients (15.3%) were overweight, and 7 patients (3.7%) were obese according to BMI cutoff value for Asian Indian 16. Our finding of occurrence of underweight (14.8%) is close to the result of the study done by Sajeev et al,17 (16.8%) and almost similar to finding by Mungreiphy et al,18 (14.4%) but less than the finding by Amoghashree et al,19 (33.3%). Our finding of occurrence of overweight (15.3%) is close to the findings in studies by Mungreiphy et al,18 (17.6%), by Gupta et al,20 (14.2%) and by Amoghashree et al19 (13.3%).…”

“…Our finding of occurrence of underweight (14.8%) is close to the result of the study done by Sajeev et al,17 (16.8%) and almost similar to finding by Mungreiphy et al,18 (14.4%) but less than the finding by Amoghashree et al,19 (33.3%). Our finding of occurrence of overweight (15.3%) is close to the findings in studies by Mungreiphy et al,18 (17.6%), by Gupta et al,20 (14.2%) and by Amoghashree et al19 (13.3%). 3.7% of our study population were obese.…”

“…3.7% of our study population were obese. Our finding is close to the finding in study by Ramalingam et al,13 (5.5%) but more than the study by Sajeev et al,17 (0.7%) and less than the study by Amoghashree et al19 (19.2%). P<0.0001) in our study.…”

Non-communicable diseases as a major contributor to deaths in 12 tribal districts in India

“…In this study, nearly half of the deceased had used tobacco or alcohol in the previous five years. Previous studies have documented tobacco use ranging from 23 to 84 per cent and alcohol use ranging from 17 to 73 per cent in various tribal communities 12 - 14 , 20 , 21 . A multisectoral approach is hence needed to address the underlying risk factors and improve the screening and treatment of cancers in the tribal districts.…”