An assessment study of CVD related risk factors in a tribal population of India

Vani Kandpal1, M P Sachdeva2, K N Saraswathy2

  • 1Department of Anthropology, University of Delhi, Delhi, India. vani_kandpal@yahoo.co.in.

BMC Public Health
|May 27, 2016
PubMed

Insights

Cardiovascular disease (CVD) risk factors like high BMI, hypertension, and metabolic syndrome are prevalent in India's Rang Bhotia tribal population. Age and physical inactivity significantly contribute to these conditions, necessitating targeted interventions.

Area of Science:

  • Public Health
  • Epidemiology
  • Tribal Health

Background:

  • Non-communicable diseases (NCDs) are a global health concern, with cardiovascular diseases (CVDs) causing significant mortality in India.
  • Limited data exists on CVD risk factors within India's tribal communities.
  • This study focuses on the Rang Bhotia tribal population to assess CVD risk factors.

Purpose of the Study:

  • To investigate the prevalence of CVD risk factors in the Rang Bhotia tribal population.
  • To identify associations between CVD risk factors and demographic/behavioral variables.

Main Methods:

  • An observational, cross-sectional study was conducted on 288 adult Rang Bhotias (20-60 years).
  • Data collected via interviews (lifestyle, socio-economic status) and anthropometric/physiological measurements.
  • Logistic regression analyzed associations between CVD risk factors, age, gender, and behaviors (smoking, alcohol, physical activity).

Main Results:

  • High prevalence of elevated Body Mass Index (BMI) (56.6%), hypertension (43.4%), metabolic syndrome (MS) (39.2%), and abdominal obesity (33.7%).
  • Age was a significant risk factor for most CVD abnormalities, except elevated fasting blood glucose.
  • Physical inactivity was linked to hypertension and high BMI; gender also contributed to hypertension.

Conclusions:

  • The Rang Bhotia population exhibits high rates of key CVD risk factors.
  • These findings highlight the community's susceptibility to cardiovascular disorders.
  • Intervention programs should consider age and gender in their design for effective prevention and treatment.
Abstract

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