PURE India Overview

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PURE IndiaOverview

• Dubai Jan 2006

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PURE-India Investigators and sites
Chandigarh Prof. Rajesh Kumar
Jaipur Prof. Rajeev Gupta
Bangalore Mario Vaz Anura V Kurpad
Chennai Prof V Mohan
Trivandrum Prof. Soman
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TIME LINE OF PURE-India
Dec2005 22,000
Dec 2002 5000 Other centres start data
Dec 2001 2500 subjects
Jan 2001 Data starts-Blore
PURE-India Mtg Identification of Other centres (3)
July 2000 Conceptualisation
Chandigarh As 5th centre
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Recruitment Status PURE India Centers
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PURE INDIA Recruitment Status
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The PURE-India Study is carried out in states
with very diverse characteristics
s
N
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Present analysis numbers
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The PURE-India Study is carried out in states
with very diverse characteristics
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Household income (Rs/month) by location
235
45
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Education level below high school ()
Urban-Rural - males
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Education level below high school ()
Urban-Rural - females
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TV ownership () by location
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2-wheeler ownership () by location
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Kitchen mixer ownership () by location
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Current tobacco use () Urban-Rural - males
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Current tobacco use () Urban-Rural - females
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Current alcohol use () Urban-Rural - males
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of males who are sedentary by location
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of females who are sedentary by location
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Daily dietary intakes in urban and rural
populations Bangalore centre
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of males who are overweight/obese (BMI 25)by
location
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females who are overweight/obese (BMI 25)by
location
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Mean Waist-hip ratio Males by location
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Mean Waist-hip ratio Females by location
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Serum total cholesterol (mg/dl) Males - by
location
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Serum total cholesterol (mg/dl) Females - by
location
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Prevalence of hypertension () Males - by
location
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Prevalence of hypertension () Females - by
location
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Hypertension known, treated and controlled() -
by location
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Prevalence of diabetes ()Males - by location
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Prevalence of diabetes ()Females - by location
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Prevalence of CHD ()Males - by location
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Prevalence of CHD ()Females - by location
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Daily dietary intakes in urban slums relative to
other urban and rural populations
a Age and gender adjusted means,
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Anthropometric profiles in urban and rural
populations
a Age and gender adjusted
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Prevalence diabetes and hypertension in urban
slums relative to other urban and rural areas
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Summary

• There is considerable heterogeneity in the
  variables that we have studied and in disease
  outcomes, across locations (urban-rural-urban
  slum), gender and region (centre)
• Urban-rural risk transitions generally follow
  patterns of development. In Kerala, there is
  evidence of a reversal of the transition with the
  rural population.
• Dietary data needs to analysed in most centres
  this when available will help us understand some
  of the changes that we have observed across
  centres and locations
• Non responder data and issues of response bias
  are being analysed

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(No Transcript)
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CHALLENGES / ISSUES OF THE STUDY

• Subjects in rural areas / slums unwilling to
  participate due to loss of daily wages
• Responder burden due to the length of
  questionnaires
• Working men unavailable during the day /
  particular seasons.
• No perceived benefits in some groups slums /
  urban areas.
• Takes 45 mins to enter one subjects data in the
  data entry system.

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use of wood as cooking fuel by location
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use of LPG (gas) as cooking fuel by location
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Mean Waist circ (cm) Males by location
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Mean Waist circ (cm) Females by location