Prospective Urban Rural Epidemiology Study
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- This is an observational study: the protocol does not assign a study treatment.
- Who it may be relevant to
- Registry conditions: Cardiovascular Diseases, Risk Factor, Cardiovascular, Health Behavior, Environmental Exposure. Basic parameters: 35 years — 70 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- Argentina, Bangladesh, Brazil, Canada, Chile +20
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
Unsure about the terms? Read our patient guide →
Overview
To examine the impact of health determinants at the individual (e.g. health related behaviors) and societal level (e.g. environmental factors, health related policy, quality of health systems) on health outcomes (e.g. death, non-communicable disease development) across a range of socioeconomic and health resource settings. Additional components of this study will examine genetic factors for non-communicable diseases. This will be examined both through a cross sectional component, and prospectively (cohort component).
Detailed description
1. To examine the relationship between societal influences and prevalence of risk factors and chronic noncommunicable diseases. Societal determinants are measured by an index of measures from each of the 4 domains of interest: built environment, food and nutrition policy, psychosocial/socioeconomic factors, and tobacco. 2. To examine the relationship between societal determinants and incidence of chronic noncommunicable disease events (e.g. cardiovascular disease, cancer) and on changes in rates of selected risk factors (e.g. smoking) 3. To examine the relationship between health related behaviors (e.g. diet, physical activity, smoking, alcohol) and health outcomes (e.g. death, non-communicable diseases) 4. The quality of health systems across a diverse range of health resource settings, and how this impacts health outcomes 5. Genetic factors for non-communicable diseases
Primary outcome measures
- incident cardiovascular disease [Time frame: mean follow up of 10 years]
Secondary outcome measures (12)
- incident cancer [Time frame: mean follow up of 10 years]
- Incident COPD [Time frame: mean follow up of 10 years]
- Incident Asthma [Time frame: mean follow up of 10 years]
- Pneumonia [Time frame: mean follow up of 10 years]
- Respiratory outcomes [Time frame: mean follow up of 10 years]
- All Cause Hospitalizations [Time frame: mean follow up of 10 years]
- Kidney disease [Time frame: mean follow up of 10 years]
- All cause and cause specific mortality [Time frame: mean follow up of 10 years]
- incident diabetes [Time frame: mean follow up of 10 years]
- obesity [Time frame: mean follow up of 10 years]
- hypertension [Time frame: mean follow up of 10 years]
- incident injuries [Time frame: mean follow up of 10 years]
Eligibility criteria
Inclusion criteria
- consenting adults between 35-70 years of age
Exclusion criteria
- none
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Study design
- Observational model
- Cohort
Study locations
India · 5 centers
- St John's Research Institute — Bangalore
- Health Action by People — Thiruvananthapuram
- Eternal Heart Care Centre and Research Institute — Jaipur
- Madras Diabetes Research Foundation — Chennai
- Post Graduate Institute of Medical Education and Research (PGIMER) — Chandigarh
Canada · 4 centers
- Simon Fraser University — Vancouver
- Population Health Research Institute — Hamilton
- University of Ottawa — Ottawa
- Université Laval Institut universitaire de cardiologie et de pneumologie de Québec — Québec
Malaysia · 2 centers
- Universiti Teknologi MARA, UCSI Universiti — Kuala Lumpur
- University Kebangsaan Malaysia — Kuala Lumpur
South Africa · 2 centers
- School of Public Health, University of the Western Cape — Bellville
- North-West University — Potchefstroom
Argentina · 1 center
- Estudios Clinicos Latinoamerica ECLA — Rosario
Bangladesh · 1 center
- Independent University, Bangladesh — Dhaka
Brazil · 1 center
- Dante Pazzanese Institute of Cardiology — São Paulo
Chile · 1 center
- Universidad de La Frontera — Temuco
China · 1 center
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital — Beijing
Colombia · 1 center
- Fundacion Oftalmologica de Santander - FOSCAL — Floridablanca
Iran · 1 center
- Isfahan University of Medical Sciences — Isfahan
Kazakhstan · 1 center
- Research Institute of Cardiology & Internal Diseases — Almaty
Kyrgyzstan · 1 center
- Kyrgyz Society of Cardiology, National Center of Cardiology and Internal Disease — Bishkek
Pakistan · 1 center
- Aga Khan University — Karachi
Palestinian Territories · 1 center
- Birzeit University, Birzeit — Ramallah
Peru · 1 center
- Universidad Peruana Cayetano Heredia — Lima
Philippines · 1 center
- University of Philippines, Section of Adult Medicine & Medical Research Unit — Manila
Poland · 1 center
- Wroclaw Medical University & Department of Internal Medicine — Wroclaw
Russia · 1 center
- Research Institute for Complex Issues of Cardiovascular Diseases — Kemerovo
Saudi Arabia · 1 center
- King Saud University — Riyadh
Sweden · 1 center
- Sahlgrenska University Hospital/Östra Hospital — Gothenburg
Tanzania · 1 center
- Pamoja Tunaweza Women Center — Moshi
Turkey (Türkiye) · 1 center
- Istanbul Medeniyet University — Istanbul
United Arab Emirates · 1 center
- Dubai Medical University — Dubai
Zimbabwe · 1 center
- University of Zimbabwe College of Health Sciences — Harare
Publications
- Dehghan M, Al Hamad N, Yusufali A, Nusrath F, Yusuf S, Merchant AT. Development of a semi-quantitative food frequency questionnaire for use in United Arab Emirates and Kuwait based on local foods. Nutr J. 2005 May 27;4:18. doi: 10.1186/1475-2891-4-18. PMID 15921524
- Merchant AT, Dehghan M, Chifamba J, Terera G, Yusuf S. Nutrient estimation from an FFQ developed for a Black Zimbabwean population. Nutr J. 2005 Dec 13;4:37. doi: 10.1186/1475-2891-4-37. PMID 16351722
- Merchant AT, Dehghan M. Food composition database development for between country comparisons. Nutr J. 2006 Jan 19;5:2. doi: 10.1186/1475-2891-5-2. PMID 16423289
- Vaz M, Bharathi AV, Thomas T, Yusuf S, Kurpad AV. The repeatability of self reported physical activity patterns in rural South India. Asia Pac J Clin Nutr. 2009;18(1):71-5. PMID 19329398
- Dehghan M, del Cerro S, Zhang X, Cuneo JM, Linetzky B, Diaz R, Merchant AT. Validation of a semi-quantitative Food Frequency Questionnaire for Argentinean adults. PLoS One. 2012;7(5):e37958. doi: 10.1371/journal.pone.0037958. Epub 2012 May 25. PMID 22662256
- Dehghan M, Martinez S, Zhang X, Seron P, Lanas F, Islam S, Merchant AT. Relative validity of an FFQ to estimate daily food and nutrient intakes for Chilean adults. Public Health Nutr. 2013 Oct;16(10):1782-8. doi: 10.1017/S1368980012004107. Epub 2012 Sep 21. PMID 22995762
- Dehghan M, Lopez Jaramillo P, Duenas R, Anaya LL, Garcia RG, Zhang X, Islam S, Merchant AT. Development and validation of a quantitative food frequency questionnaire among rural- and urban-dwelling adults in Colombia. J Nutr Educ Behav. 2012 Nov-Dec;44(6):609-13. doi: 10.1016/j.jneb.2010.10.001. Epub 2011 Jul 7. PMID 21737352
- Khatib R, Schwalm JD, Yusuf S, Haynes RB, McKee M, Khan M, Nieuwlaat R. Patient and healthcare provider barriers to hypertension awareness, treatment and follow up: a systematic review and meta-analysis of qualitative and quantitative studies. PLoS One. 2014 Jan 15;9(1):e84238. doi: 10.1371/journal.pone.0084238. eCollection 2014. PMID 24454721
Identifiers
NCT: NCT03225586 · PURE