1. Symptoms and medical conditions in 204 912 patients visiting primary health-care practitioners in India: a 1-day point prevalence study (the POSEIDON study) 
Dr Sundeep Salvi, MD, Komalkirti Apte, MBBS, Sapna Madas, MSc, Monica Barne, MBBS, Sushmeeta Chhowala, MSc, Tavpritesh Sethi, PhD, Kunal Aggarwal, BTech, Anurag Agrawal, MD, Jaideep Gogtay, MD 
The Lancet Global Health 
Volume 3, Issue 12, Pages e776-e784 (December 2015)
DOI: /S X(15)
Copyright © 2015 Salvi et al. Open Access article published under the terms of CC BY-NC-ND Terms and Conditions

2. Figure 1 Study profile and respondent characteristics.
The Lancet Global Health 2015 3, e776-e784DOI: ( /S X(15) )
Copyright © 2015 Salvi et al. Open Access article published under the terms of CC BY-NC-ND Terms and Conditions

3. Figure 2 Patients' age and sex characteristics
p<0·0001 for all male/female comparisons within age groups, apart from 20–29 years (not significant) and 30–39 years (p=0·0105)
The Lancet Global Health 2015 3, e776-e784DOI: ( /S X(15) )
Copyright © 2015 Salvi et al. Open Access article published under the terms of CC BY-NC-ND Terms and Conditions

4. Figure 3 Reported prevalence of symptoms related to organ systems
The Lancet Global Health 2015 3, e776-e784DOI: ( /S X(15) )
Copyright © 2015 Salvi et al. Open Access article published under the terms of CC BY-NC-ND Terms and Conditions

5. Figure 4
Alluvial graph of disease or symptom prevalence across decades of life
Width of bands corresponds to relative proportion of symptoms or medical conditions, with the y axis organised to have the most prevalent conditions closest to the x axis. Associations between symptoms or conditions are represented as offshoots that connect systems. The light shaded vertical bars correspond to the decade-wise groupings used in analysis..
The Lancet Global Health 2015 3, e776-e784DOI: ( /S X(15) )
Copyright © 2015 Salvi et al. Open Access article published under the terms of CC BY-NC-ND Terms and Conditions