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

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. Ai...

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Autores principales: Nair, Manisha, Ali, Mohammed K, Ajay, Vamadevan S, Shivashankar, Roopa, Mohan, Viswanathan, Pradeepa, Rajendra, Deepa, Mohan, Khan, Hassan M, Kadir, Muhammad M, Fatmi, Zafar A, Reddy, K Srinath, Tandon, Nikhil, Narayan, KM Venkat, Prabhakaran, Dorairaj
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3491014/
https://www.ncbi.nlm.nih.gov/pubmed/22928740
http://dx.doi.org/10.1186/1471-2458-12-701
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author Nair, Manisha
Ali, Mohammed K
Ajay, Vamadevan S
Shivashankar, Roopa
Mohan, Viswanathan
Pradeepa, Rajendra
Deepa, Mohan
Khan, Hassan M
Kadir, Muhammad M
Fatmi, Zafar A
Reddy, K Srinath
Tandon, Nikhil
Narayan, KM Venkat
Prabhakaran, Dorairaj
author_facet Nair, Manisha
Ali, Mohammed K
Ajay, Vamadevan S
Shivashankar, Roopa
Mohan, Viswanathan
Pradeepa, Rajendra
Deepa, Mohan
Khan, Hassan M
Kadir, Muhammad M
Fatmi, Zafar A
Reddy, K Srinath
Tandon, Nikhil
Narayan, KM Venkat
Prabhakaran, Dorairaj
author_sort Nair, Manisha
collection PubMed
description 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.
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spelling pubmed-34910142012-11-07 CARRS Surveillance study: design and methods to assess burdens from multiple perspectives Nair, Manisha Ali, Mohammed K Ajay, Vamadevan S Shivashankar, Roopa Mohan, Viswanathan Pradeepa, Rajendra Deepa, Mohan Khan, Hassan M Kadir, Muhammad M Fatmi, Zafar A Reddy, K Srinath Tandon, Nikhil Narayan, KM Venkat Prabhakaran, Dorairaj BMC Public Health Study Protocol 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. BioMed Central 2012-08-28 /pmc/articles/PMC3491014/ /pubmed/22928740 http://dx.doi.org/10.1186/1471-2458-12-701 Text en Copyright ©2012 Nair et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Study Protocol
Nair, Manisha
Ali, Mohammed K
Ajay, Vamadevan S
Shivashankar, Roopa
Mohan, Viswanathan
Pradeepa, Rajendra
Deepa, Mohan
Khan, Hassan M
Kadir, Muhammad M
Fatmi, Zafar A
Reddy, K Srinath
Tandon, Nikhil
Narayan, KM Venkat
Prabhakaran, Dorairaj
CARRS Surveillance study: design and methods to assess burdens from multiple perspectives
title CARRS Surveillance study: design and methods to assess burdens from multiple perspectives
title_full CARRS Surveillance study: design and methods to assess burdens from multiple perspectives
title_fullStr CARRS Surveillance study: design and methods to assess burdens from multiple perspectives
title_full_unstemmed CARRS Surveillance study: design and methods to assess burdens from multiple perspectives
title_short CARRS Surveillance study: design and methods to assess burdens from multiple perspectives
title_sort carrs surveillance study: design and methods to assess burdens from multiple perspectives
topic Study Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3491014/
https://www.ncbi.nlm.nih.gov/pubmed/22928740
http://dx.doi.org/10.1186/1471-2458-12-701
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