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Published in: BMC Public Health 1/2012

Open Access 01-12-2012 | Study protocol

CARRS Surveillance study: design and methods to assess burdens from multiple perspectives

Authors: Manisha Nair, Mohammed K Ali, Vamadevan S Ajay, Roopa Shivashankar, Viswanathan Mohan, Rajendra Pradeepa, Mohan Deepa, Hassan M Khan, Muhammad M Kadir, Zafar A Fatmi, K Srinath Reddy, Nikhil Tandon, KM Venkat Narayan, Dorairaj Prabhakaran

Published in: BMC Public Health | Issue 1/2012

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Abstract

Background

Cardio-metabolic diseases (CMDs) are a growing public health problem, but data on incidence, trends, and costs in developing countries is scarce. Comprehensive and standardised surveillance for non-communicable diseases was recommended at the United Nations High-level meeting in 2011.
Aims: To develop a model surveillance system for CMDs and risk factors that could be adopted for continued assessment of burdens from multiple perspectives in South-Asian countries.

Methods

Design: Hybrid model with two cross-sectional serial surveys three years apart to monitor trend, with a three-year prospective follow-up of the first cohort.
Sites: Three urban settings (Chennai and New Delhi in India; Karachi in Pakistan), 4000 participants in each site stratified by gender and age.
Sampling methodology: Multi-stage cluster random sampling; followed by within-household participant selection through a combination of Health Information National Trends Study (HINTS) and Kish methods.
Culturally-appropriate and methodologically-relevant data collection instruments were developed to gather information on CMDs and their risk factors; quality of life, health-care utilisation and costs, along with objective measures of anthropometric, clinical and biochemical parameters. The cohort follow-up is designed as a pilot study to understand the feasibility of estimating incidence of risk factors, disease events, morbidity, and mortality.

Results

The overall participant response rate in the first cross-sectional survey was 94.1% (Chennai 92.4%, n = 4943; Delhi 95.7%, n = 4425; Karachi 94.3%, n = 4016). 51.8% of the participants were females, 61.6% < 45years, 27.5% 45–60years and 10.9% >60 years.

Discussion

This surveillance model will generate data on prevalence and trends; help study the complex life-course patterns of CMDs, and provide a platform for developing and testing interventions and tools for prevention and control of CMDs in South-Asia. It will also help understanding the challenges and opportunities in establishing a surveillance system across countries.
Literature
1.
go back to reference Kraushaar L, Kramer A: Are we losing the battle against cardiometabolic disease? The case for a paradigm shift in primary prevention. BMC Publ Health. 2009, 9 (1): 64-10.1186/1471-2458-9-64.CrossRef Kraushaar L, Kramer A: Are we losing the battle against cardiometabolic disease? The case for a paradigm shift in primary prevention. BMC Publ Health. 2009, 9 (1): 64-10.1186/1471-2458-9-64.CrossRef
2.
go back to reference Economic Intelligence Unit: The silent epidemic: An economic study of diabetes in developed and developing countries. 2007, New York, London: Hong Kong: The Economist Economic Intelligence Unit: The silent epidemic: An economic study of diabetes in developed and developing countries. 2007, New York, London: Hong Kong: The Economist
4.
go back to reference Gupta R, Joshi P, Mohan V, Reddy K, Yusuf S: Epidemiology and causation of coronary heart disease and stroke in India. Heart. 2008, 94 (1): 16-26. 10.1136/hrt.2007.132951.CrossRefPubMed Gupta R, Joshi P, Mohan V, Reddy K, Yusuf S: Epidemiology and causation of coronary heart disease and stroke in India. Heart. 2008, 94 (1): 16-26. 10.1136/hrt.2007.132951.CrossRefPubMed
5.
go back to reference World Health Organisation: Global status report on non-communicable diseases. 2011, Geneva: World Health Organisation World Health Organisation: Global status report on non-communicable diseases. 2011, Geneva: World Health Organisation
6.
go back to reference Mathers C, Lopez A, Murray C: The Burden of Disease and Mortality by Condition: Data, Methods, and Results for 2001. Global Burden of Disease and Risk Factors. Edited by: Lopez A, Mathers C, Ezzati M, Jamison D, Murray C. 2006, Oxford University Press, New York Mathers C, Lopez A, Murray C: The Burden of Disease and Mortality by Condition: Data, Methods, and Results for 2001. Global Burden of Disease and Risk Factors. Edited by: Lopez A, Mathers C, Ezzati M, Jamison D, Murray C. 2006, Oxford University Press, New York
8.
go back to reference Roglic G, Unwin N: Mortality attributable to diabetes: Estimates for the year 2010. Diabetes Res Clin Pract. 2010, 87 (1): 15-19. 10.1016/j.diabres.2009.10.006.CrossRefPubMed Roglic G, Unwin N: Mortality attributable to diabetes: Estimates for the year 2010. Diabetes Res Clin Pract. 2010, 87 (1): 15-19. 10.1016/j.diabres.2009.10.006.CrossRefPubMed
9.
go back to reference Danaei G, Lawes CMM, Van der Hoorn S, Murray CJL, Ezzati M: Global and regional mortality from ischaemic heart disease and stroke attributable to higher-than-optimum blood glucose concentration: comparative risk assessment. Lancet. 2006, 368 (9548): 1651-1659. 10.1016/S0140-6736(06)69700-6.CrossRefPubMed Danaei G, Lawes CMM, Van der Hoorn S, Murray CJL, Ezzati M: Global and regional mortality from ischaemic heart disease and stroke attributable to higher-than-optimum blood glucose concentration: comparative risk assessment. Lancet. 2006, 368 (9548): 1651-1659. 10.1016/S0140-6736(06)69700-6.CrossRefPubMed
10.
go back to reference Ramachandran A, Wan Ma RC, Snehalatha C: Diabetes in Asia. Lancet. 375 (9712): 408-418. Ramachandran A, Wan Ma RC, Snehalatha C: Diabetes in Asia. Lancet. 375 (9712): 408-418.
11.
go back to reference Chan JCN, Malik V, Jia W, Kadowaki T, Yajnik CS, Yoon K-H, Hu FB: Diabetes in Asia. JAMA. 2009, 301 (20): 2129-2140. 10.1001/jama.2009.726.CrossRefPubMed Chan JCN, Malik V, Jia W, Kadowaki T, Yajnik CS, Yoon K-H, Hu FB: Diabetes in Asia. JAMA. 2009, 301 (20): 2129-2140. 10.1001/jama.2009.726.CrossRefPubMed
12.
go back to reference Anjana RM, Pradeepa R, Deepa M, Datta M, Sudha V, Unnikrishnan R, Bhansali A, Joshi SR, Joshi PP, Yajnik CS, et al: Prevalence of diabetes and prediabetes (impaired fasting glucose and/or impaired glucose tolerance) in urban and rural India: Phase I results of the Indian Council of Medical Research-INdia DIABetes (ICMR-INDIAB) study. Diabetologia. 2011, 54: 3022-3027. 10.1007/s00125-011-2291-5.CrossRefPubMed Anjana RM, Pradeepa R, Deepa M, Datta M, Sudha V, Unnikrishnan R, Bhansali A, Joshi SR, Joshi PP, Yajnik CS, et al: Prevalence of diabetes and prediabetes (impaired fasting glucose and/or impaired glucose tolerance) in urban and rural India: Phase I results of the Indian Council of Medical Research-INdia DIABetes (ICMR-INDIAB) study. Diabetologia. 2011, 54: 3022-3027. 10.1007/s00125-011-2291-5.CrossRefPubMed
13.
go back to reference Ramachandran A, Snehalatha C, Latha E, Satyavani K, Vijay V: Clustering of cardiovascular risk factors in urban Asian Indians. Diabetes Care. 1998, 21 (6): 967-971. 10.2337/diacare.21.6.967.CrossRefPubMed Ramachandran A, Snehalatha C, Latha E, Satyavani K, Vijay V: Clustering of cardiovascular risk factors in urban Asian Indians. Diabetes Care. 1998, 21 (6): 967-971. 10.2337/diacare.21.6.967.CrossRefPubMed
14.
go back to reference Pradeepa R, Mohan V: The changing scenario of the diabetes epidemic: implications for India. Indian J Med Res. 2002, 116: 121-132.PubMed Pradeepa R, Mohan V: The changing scenario of the diabetes epidemic: implications for India. Indian J Med Res. 2002, 116: 121-132.PubMed
15.
16.
go back to reference McKeigue P, Ferrie J, Pierpoint T, Marmot M: Association of early-onset coronary heart disease in South Asian men with glucose intolerance and hyperinsulinemia. Circulation. 1993, 87 (1): 152-161. 10.1161/01.CIR.87.1.152.CrossRefPubMed McKeigue P, Ferrie J, Pierpoint T, Marmot M: Association of early-onset coronary heart disease in South Asian men with glucose intolerance and hyperinsulinemia. Circulation. 1993, 87 (1): 152-161. 10.1161/01.CIR.87.1.152.CrossRefPubMed
18.
go back to reference Chambers J, Elliott P, Zabaneh D, LYZ W, Froguel P, Balding D, Scott J, Kooner J: Common genetic variation near MC4R is associated with waist circumference and insulin resistance. Nat Genet. 2008, 40 (6): 716-718. 10.1038/ng.156.CrossRefPubMed Chambers J, Elliott P, Zabaneh D, LYZ W, Froguel P, Balding D, Scott J, Kooner J: Common genetic variation near MC4R is associated with waist circumference and insulin resistance. Nat Genet. 2008, 40 (6): 716-718. 10.1038/ng.156.CrossRefPubMed
19.
go back to reference Yajnik C: Early life origins of insulin resistance and type 2 diabetes in India and other Asian countries. J Nutr. 2004, 134 (1): 205-210.PubMed Yajnik C: Early life origins of insulin resistance and type 2 diabetes in India and other Asian countries. J Nutr. 2004, 134 (1): 205-210.PubMed
20.
go back to reference Joshi P, Islam S, Pais P, Reddy S, Dorairaj P, Kazmi K, Pandey M, Haque S, Mendis S, Rangarajan S, et al: Risk factors for early myocardial infarction in South Asians compared with individuals in other countries. JAMA. 2007, 297 (3): 286-294. 10.1001/jama.297.3.286.CrossRefPubMed Joshi P, Islam S, Pais P, Reddy S, Dorairaj P, Kazmi K, Pandey M, Haque S, Mendis S, Rangarajan S, et al: Risk factors for early myocardial infarction in South Asians compared with individuals in other countries. JAMA. 2007, 297 (3): 286-294. 10.1001/jama.297.3.286.CrossRefPubMed
21.
go back to reference Diaz V, Mainous A, Baker R, Carnemolla M, Majeed A: How does ethnicity affect the association between obesity and diabetes?. Diabet Med. 2007, 24 (11): 1199-1204. 10.1111/j.1464-5491.2007.02244.x.CrossRefPubMed Diaz V, Mainous A, Baker R, Carnemolla M, Majeed A: How does ethnicity affect the association between obesity and diabetes?. Diabet Med. 2007, 24 (11): 1199-1204. 10.1111/j.1464-5491.2007.02244.x.CrossRefPubMed
22.
go back to reference McKeigue P, Marmot M, Court YS, Cottier D, Rahman S, Riemersma R: Diabetes, hyperinsulinaemia, and coronary risk factors in Bangladeshis in east London. Br Heart J. 1988, 60 (5): 390-396. 10.1136/hrt.60.5.390.CrossRefPubMedPubMedCentral McKeigue P, Marmot M, Court YS, Cottier D, Rahman S, Riemersma R: Diabetes, hyperinsulinaemia, and coronary risk factors in Bangladeshis in east London. Br Heart J. 1988, 60 (5): 390-396. 10.1136/hrt.60.5.390.CrossRefPubMedPubMedCentral
23.
go back to reference McKeigue P, Shah B, Marmot M: Relation of central obesity and insulin resistance with high diabetes prevalence and cardiovascular risk in South Asians. Lancet. 1991, 337 (8738): 382-386. 10.1016/0140-6736(91)91164-P.CrossRefPubMed McKeigue P, Shah B, Marmot M: Relation of central obesity and insulin resistance with high diabetes prevalence and cardiovascular risk in South Asians. Lancet. 1991, 337 (8738): 382-386. 10.1016/0140-6736(91)91164-P.CrossRefPubMed
24.
go back to reference World Health Organisation: UN high-level meeting on NCDs (New York, 19–20 September 2011). Summary report of the discussions at the round tables. 2011, New York: United Nations World Health Organisation: UN high-level meeting on NCDs (New York, 19–20 September 2011). Summary report of the discussions at the round tables. 2011, New York: United Nations
25.
go back to reference Institute of Medicine: A nationwide framework for surveillance of cardiovascular and chronic lung diseases. 2011, Washington, DC: Institute of Medicine Institute of Medicine: A nationwide framework for surveillance of cardiovascular and chronic lung diseases. 2011, Washington, DC: Institute of Medicine
26.
go back to reference Eiseman E, Fossum D: The Challenges of Creating a Global Health Resource Tracking System. 2005, Santa Monica, CA: RAND Corporation Eiseman E, Fossum D: The Challenges of Creating a Global Health Resource Tracking System. 2005, Santa Monica, CA: RAND Corporation
27.
go back to reference Heathfield H, Pitty D, Hanka R: Evaluating information technology in health care: barriers and challenges. BMJ. 1998, 316 (7149): 1959-1961. 10.1136/bmj.316.7149.1959.CrossRefPubMedPubMedCentral Heathfield H, Pitty D, Hanka R: Evaluating information technology in health care: barriers and challenges. BMJ. 1998, 316 (7149): 1959-1961. 10.1136/bmj.316.7149.1959.CrossRefPubMedPubMedCentral
28.
go back to reference Gupta R: Recent Trends in Coronary Heart Disease Epidemiology in India. Indian Heart J. 2008, Suppl B: B4-B18. Gupta R: Recent Trends in Coronary Heart Disease Epidemiology in India. Indian Heart J. 2008, Suppl B: B4-B18.
29.
go back to reference Abegunde D, Mathers C, Adam T, Ortegon M, Strong K: The burden and costs of chronic diseases in low-income and middle-income countries. Lancet. 2007, 370 (9603): 1929-1938. 10.1016/S0140-6736(07)61696-1.CrossRefPubMed Abegunde D, Mathers C, Adam T, Ortegon M, Strong K: The burden and costs of chronic diseases in low-income and middle-income countries. Lancet. 2007, 370 (9603): 1929-1938. 10.1016/S0140-6736(07)61696-1.CrossRefPubMed
30.
go back to reference Engelgau MM, El-Saharty S, Kudesia P, Rajan V, Rosenhouse S, Okamoto K: Capitalizing on the Demographic Transition: Tackling Noncommunicable Diseases in South Asia. 2011, Washington, D.C: The World Bank, 204-CrossRef Engelgau MM, El-Saharty S, Kudesia P, Rajan V, Rosenhouse S, Okamoto K: Capitalizing on the Demographic Transition: Tackling Noncommunicable Diseases in South Asia. 2011, Washington, D.C: The World Bank, 204-CrossRef
32.
go back to reference Nishtar S, Bile KM, Ahmed A, Amjad S, Iqbal A: Integrated Population-Based Surveillance of Noncommunicable Diseases: The Pakistan Model. American Journal of Preventive Medicine. 2005, 29 (5, Supplement 1): 102-106. 10.1016/j.amepre.2005.07.034.CrossRefPubMed Nishtar S, Bile KM, Ahmed A, Amjad S, Iqbal A: Integrated Population-Based Surveillance of Noncommunicable Diseases: The Pakistan Model. American Journal of Preventive Medicine. 2005, 29 (5, Supplement 1): 102-106. 10.1016/j.amepre.2005.07.034.CrossRefPubMed
33.
go back to reference Morris A, Boyle D, MacAlpine R, Emslie-Smith A, Jung R, Newton R, MacDonald T: The diabetes audit and research in Tayside Scotland (darts) study: electronic record linkage to create a diabetes register. BMJ. 1997, 315 (7107): 524-528. 10.1136/bmj.315.7107.524.CrossRefPubMedPubMedCentral Morris A, Boyle D, MacAlpine R, Emslie-Smith A, Jung R, Newton R, MacDonald T: The diabetes audit and research in Tayside Scotland (darts) study: electronic record linkage to create a diabetes register. BMJ. 1997, 315 (7107): 524-528. 10.1136/bmj.315.7107.524.CrossRefPubMedPubMedCentral
34.
go back to reference Joshy G, Simmons D: Diabetes information systems: a rapidly emerging support for diabetes surveillance and care. Diabetes Technol Ther. 2006, 8 (5): 587-597. 10.1089/dia.2006.8.587.CrossRefPubMed Joshy G, Simmons D: Diabetes information systems: a rapidly emerging support for diabetes surveillance and care. Diabetes Technol Ther. 2006, 8 (5): 587-597. 10.1089/dia.2006.8.587.CrossRefPubMed
38.
go back to reference StataCorp: Statistical Software: Release 10.1 College Station. 2008, College Station, TX: StataCorp LP StataCorp: Statistical Software: Release 10.1 College Station. 2008, College Station, TX: StataCorp LP
39.
go back to reference Rizzo L, Brick J, Park I: A minimally intrusive method for sampling persons in Random Digit Dial surveys. Public Opin Q. 2004, 68 (2): 267-274. 10.1093/poq/nfh014.CrossRef Rizzo L, Brick J, Park I: A minimally intrusive method for sampling persons in Random Digit Dial surveys. Public Opin Q. 2004, 68 (2): 267-274. 10.1093/poq/nfh014.CrossRef
41.
go back to reference Ng N, Minh HV, Juvekar S, Razzaque A, Bich TH, Kanungsukkasem U, Ashraf A, Ahmed SM, Soonthornthada K: Using the INDEPTH HDSS to build capacity for chronic non-communicable disease risk factor surveillance in low and middle-income countries. Global Health Action. 2009, 2 (NCD Supplement): 7-18. Ng N, Minh HV, Juvekar S, Razzaque A, Bich TH, Kanungsukkasem U, Ashraf A, Ahmed SM, Soonthornthada K: Using the INDEPTH HDSS to build capacity for chronic non-communicable disease risk factor surveillance in low and middle-income countries. Global Health Action. 2009, 2 (NCD Supplement): 7-18.
42.
go back to reference Pickering TG, Hall JE, Appel LJ, Falkner BE, Graves J, Hill MN, Jones DW, Kurtz T, Sheps SG, Roccella EJ: Recommendations for blood pressure measurement in humans and experimental animals: Part 1: blood pressure measurement in humans: a statement for professionals from the subcommittee of professional and public education of the American Heart Association Council on High Blood Pressure Research. Hypertension. 2005, 45: 142-161.CrossRefPubMed Pickering TG, Hall JE, Appel LJ, Falkner BE, Graves J, Hill MN, Jones DW, Kurtz T, Sheps SG, Roccella EJ: Recommendations for blood pressure measurement in humans and experimental animals: Part 1: blood pressure measurement in humans: a statement for professionals from the subcommittee of professional and public education of the American Heart Association Council on High Blood Pressure Research. Hypertension. 2005, 45: 142-161.CrossRefPubMed
44.
go back to reference Thacker SB, Stroup DF, Rothenberg RB: Public health surveillance for chronic conditions: a scientific basis for decisions. Stat Med. 1995, 14 (5–7): 629-641.CrossRefPubMed Thacker SB, Stroup DF, Rothenberg RB: Public health surveillance for chronic conditions: a scientific basis for decisions. Stat Med. 1995, 14 (5–7): 629-641.CrossRefPubMed
45.
go back to reference Al-Nsour M, Zindah M, Belbeisi A, Hadaddin R, Brown DW, Walke H: Prevalence of selected chronic, noncommunicable disease risk factors in jordan: results of the 2007 jordan behavioral risk factor surveillance survey. Prev Chronic Dis. 2012, 9: E25-PubMed Al-Nsour M, Zindah M, Belbeisi A, Hadaddin R, Brown DW, Walke H: Prevalence of selected chronic, noncommunicable disease risk factors in jordan: results of the 2007 jordan behavioral risk factor surveillance survey. Prev Chronic Dis. 2012, 9: E25-PubMed
46.
go back to reference Bovet P, Viswanathan B, Shamlaye C, Romain S, Gedeon J: Addressing non-communicable diseases in the Seychelles: towards a comprehensive plan of action. Glob Health Promot. 2010, 17 (2 suppl): 37-40. 10.1177/1757975910363930.CrossRefPubMed Bovet P, Viswanathan B, Shamlaye C, Romain S, Gedeon J: Addressing non-communicable diseases in the Seychelles: towards a comprehensive plan of action. Glob Health Promot. 2010, 17 (2 suppl): 37-40. 10.1177/1757975910363930.CrossRefPubMed
47.
go back to reference MS GR: New Survey Results Enhance Cuba’s NCD Surveillance: Mariano Bonet MD Director, National Hygiene, Epidemiology and Microbiology Institute. MEDICC Rev. 2011, 13: 11-13. MS GR: New Survey Results Enhance Cuba’s NCD Surveillance: Mariano Bonet MD Director, National Hygiene, Epidemiology and Microbiology Institute. MEDICC Rev. 2011, 13: 11-13.
48.
go back to reference Conroy RM, Pyörälä K, Fitzgerald AP, Sans S, Menotti A, De Backer G, De Bacquer D, Ducimetière P, Jousilahti P, Keil U, et al: Estimation of ten-year risk of fatal cardiovascular disease in Europe: the SCORE project. Eur Heart J. 2003, 24 (11): 987-1003. 10.1016/S0195-668X(03)00114-3.CrossRefPubMed Conroy RM, Pyörälä K, Fitzgerald AP, Sans S, Menotti A, De Backer G, De Bacquer D, Ducimetière P, Jousilahti P, Keil U, et al: Estimation of ten-year risk of fatal cardiovascular disease in Europe: the SCORE project. Eur Heart J. 2003, 24 (11): 987-1003. 10.1016/S0195-668X(03)00114-3.CrossRefPubMed
49.
go back to reference Hemingway H, Marmot M: Psychosocial factors in the aetiology and prognosis of coronary heart disease: systematic review of prospective cohort studies. BMJ. 1999, 318 (7196): 1460-1467. 10.1136/bmj.318.7196.1460.CrossRefPubMedPubMedCentral Hemingway H, Marmot M: Psychosocial factors in the aetiology and prognosis of coronary heart disease: systematic review of prospective cohort studies. BMJ. 1999, 318 (7196): 1460-1467. 10.1136/bmj.318.7196.1460.CrossRefPubMedPubMedCentral
50.
go back to reference Cohen JW, Krauss NA: Spending And Service Use Among People With The Fifteen Most Costly Medical Conditions, 1997. Health Aff. 2003, 22 (2): 129-138. 10.1377/hlthaff.22.2.129.CrossRef Cohen JW, Krauss NA: Spending And Service Use Among People With The Fifteen Most Costly Medical Conditions, 1997. Health Aff. 2003, 22 (2): 129-138. 10.1377/hlthaff.22.2.129.CrossRef
51.
go back to reference Malekzadeh F, Marshall T, Pourshams A, Gharravi M, Aslani A, Nateghi A, Rastegarpanah M, Khoshnia M, Semnani S, Salahi R: A pilot double-blind randomised placebo-controlled trial of the effects of fixed-dose combination therapy ("polypill") on cardiovascular risk factors. Int J Clin Pract. 2010, 64 (9): 1220-1227. 10.1111/j.1742-1241.2010.02412.x.CrossRefPubMed Malekzadeh F, Marshall T, Pourshams A, Gharravi M, Aslani A, Nateghi A, Rastegarpanah M, Khoshnia M, Semnani S, Salahi R: A pilot double-blind randomised placebo-controlled trial of the effects of fixed-dose combination therapy ("polypill") on cardiovascular risk factors. Int J Clin Pract. 2010, 64 (9): 1220-1227. 10.1111/j.1742-1241.2010.02412.x.CrossRefPubMed
52.
go back to reference Mohan V: Effects of a polypill (Polycap) on risk factors in middle-aged individuals without cardiovascular disease (TIPS): a phase II, double-blind, randomised trial. Lancet. 2009, 373 (9672): 1341-1351.CrossRefPubMed Mohan V: Effects of a polypill (Polycap) on risk factors in middle-aged individuals without cardiovascular disease (TIPS): a phase II, double-blind, randomised trial. Lancet. 2009, 373 (9672): 1341-1351.CrossRefPubMed
53.
go back to reference Shah B, Mathur P: Surveillance of cardiovascular disease risk factors in India: The need & scope. Indian J Med Res. 2010, 132 (5): 634-642.PubMedPubMedCentral Shah B, Mathur P: Surveillance of cardiovascular disease risk factors in India: The need & scope. Indian J Med Res. 2010, 132 (5): 634-642.PubMedPubMedCentral
54.
go back to reference National Institute of Population Studies (NIPS) [Pakistan] aMII: Pakistan Demographic and Health Survey 2006–07. 2008, Islamabad, Pakistan: National Institute of Population Studies and Macro International Inc National Institute of Population Studies (NIPS) [Pakistan] aMII: Pakistan Demographic and Health Survey 2006–07. 2008, Islamabad, Pakistan: National Institute of Population Studies and Macro International Inc
55.
go back to reference Wilson PWF, Narayan KMV: New York City Health and Nutrition Examination Survey: A model for urban health surveillance. Diabetes Care. 2009, 32 (1): 204-205. 10.2337/dc08-1807.CrossRefPubMedPubMedCentral Wilson PWF, Narayan KMV: New York City Health and Nutrition Examination Survey: A model for urban health surveillance. Diabetes Care. 2009, 32 (1): 204-205. 10.2337/dc08-1807.CrossRefPubMedPubMedCentral
56.
go back to reference Alwan A, MacLean DR, Riley LM, d’Espaignet ET, Mathers CD, Stevens GA, Bettcher D: Monitoring and surveillance of chronic non-communicable diseases: progress and capacity in high-burden countries. The Lancet. 2010, 376 (9755): 1861-1868. 10.1016/S0140-6736(10)61853-3.CrossRef Alwan A, MacLean DR, Riley LM, d’Espaignet ET, Mathers CD, Stevens GA, Bettcher D: Monitoring and surveillance of chronic non-communicable diseases: progress and capacity in high-burden countries. The Lancet. 2010, 376 (9755): 1861-1868. 10.1016/S0140-6736(10)61853-3.CrossRef
57.
go back to reference Choi BCK, Corber SJ, McQueen DV, Bonita R, Zevallos JC, Douglas KA, Barceló A, Gonzalez M, Robles S, Stachenko S, et al: Enhancing regional capacity in chronic disease surveillance in the Americas. Rev Panam Salud Publica/Pan Am J Public Health. 2005, 17: 130-141.CrossRef Choi BCK, Corber SJ, McQueen DV, Bonita R, Zevallos JC, Douglas KA, Barceló A, Gonzalez M, Robles S, Stachenko S, et al: Enhancing regional capacity in chronic disease surveillance in the Americas. Rev Panam Salud Publica/Pan Am J Public Health. 2005, 17: 130-141.CrossRef
Metadata
Title
CARRS Surveillance study: design and methods to assess burdens from multiple perspectives
Authors
Manisha Nair
Mohammed K Ali
Vamadevan S Ajay
Roopa Shivashankar
Viswanathan Mohan
Rajendra Pradeepa
Mohan Deepa
Hassan M Khan
Muhammad M Kadir
Zafar A Fatmi
K Srinath Reddy
Nikhil Tandon
KM Venkat Narayan
Dorairaj Prabhakaran
Publication date
01-12-2012
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2012
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/1471-2458-12-701

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