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

被引:111
作者
Nair, Manisha
Ali, Mohammed K. [2 ]
Ajay, Vamadevan S.
Shivashankar, Roopa [1 ,3 ]
Mohan, Viswanathan [4 ]
Pradeepa, Rajendra [4 ]
Deepa, Mohan [4 ]
Khan, Hassan M. [5 ]
Kadir, Muhammad M. [5 ]
Fatmi, Zafar A. [5 ]
Reddy, K. Srinath
Tandon, Nikhil [6 ]
Narayan, K. M. Venkat [2 ]
Prabhakaran, Dorairaj [1 ,3 ]
机构
[1] Publ Hlth Fdn India, CoE CARRS, Sect C, New Delhi 110070, India
[2] Emory Univ, Atlanta, GA 30322 USA
[3] CCDC, New Delhi 110070, India
[4] MDRF, Madras, Tamil Nadu, India
[5] Aga Khan Univ, Karachi, Pakistan
[6] AIIMS, New Delhi, India
基金
美国国家卫生研究院;
关键词
Cardio-metabolic diseases; Surveillance; Risk-factors; South-Asia; CORONARY-HEART-DISEASE; RISK-FACTORS; CARDIOVASCULAR RISK; NONCOMMUNICABLE DISEASES; INSULIN-RESISTANCE; HEALTH; EPIDEMIOLOGY; ASSOCIATION; OBESITY; STROKE;
D O I
10.1186/1471-2458-12-701
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
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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页数:12
相关论文
共 49 条
[1]   Chronic diseases 1 - The burden and costs of chronic diseases in low-income and middle-income countries [J].
Abegunde, Dele O. ;
Mathers, Colin D. ;
Adam, Taghreed ;
Ortegon, Monica ;
Strong, Kathleen .
LANCET, 2007, 370 (9603) :1929-1938
[2]   Prevalence of Selected Chronic, Noncommunicable Disease Risk Factors in Jordan: Results of the 2007 Jordan Behavioral Risk Factor Surveillance Survey [J].
Al-Nsour, Mohannad ;
Zindah, Meyasser ;
Belbeisi, Adel ;
Hadaddin, Raja ;
Brown, David W. ;
Walke, Henry .
PREVENTING CHRONIC DISEASE, 2012, 9
[3]   Chronic Diseases: Chronic Diseases and Development 5 Monitoring and surveillance of chronic non-communicable diseases: progress and capacity in high-burden countries [J].
Alwan, Ala ;
MacLean, David R. ;
Riley, Leanne M. ;
d'Espaignet, Edouard Tursan ;
Mathers, Colin Douglas ;
Stevens, Gretchen Anna ;
Bettcher, Douglas .
LANCET, 2010, 376 (9755) :1861-1868
[4]   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 [J].
Anjana, R. M. ;
Pradeepa, R. ;
Deepa, M. ;
Datta, M. ;
Sudha, V. ;
Unnikrishnan, R. ;
Bhansali, A. ;
Joshi, S. R. ;
Joshi, P. P. ;
Yajnik, C. S. ;
Dhandhania, V. K. ;
Nath, L. M. ;
Das, A. K. ;
Rao, P. V. ;
Madhu, S. V. ;
Shukla, D. K. ;
Kaur, T. ;
Priya, M. ;
Nirmal, E. ;
Parvathi, S. J. ;
Subhashini, S. ;
Subashini, R. ;
Ali, M. K. ;
Mohan, V. .
DIABETOLOGIA, 2011, 54 (12) :3022-3027
[5]  
[Anonymous], 2007, ECONOMIST
[6]  
Baez-Camargo C., 2011, Accountability for better healthcare provision: A framework and guidelines to define understand and assess accountability in health systems
[7]  
Bovet P, 2010, GLOB HLTH PROMOT S, V17, P37
[8]   Common genetic variation near MC4R is associated with waist circumference and insulin resistance [J].
Chambers, John C. ;
Elliott, Paul ;
Zabaneh, Delilah ;
Zhang, Weihua ;
Li, Yun ;
Froguel, Philippe ;
Balding, David ;
Scott, James ;
Kooner, Jaspal S. .
NATURE GENETICS, 2008, 40 (06) :716-718
[9]   Diabetes in Asia Epidemiology, Risk Factors, and Pathophysiology [J].
Chan, Juliana C. N. ;
Malik, Vasanti ;
Jia, Weiping ;
Kadowaki, Takashi ;
Yajnik, Chittaranjan S. ;
Yoon, Kun-Ho ;
Hu, Frank B. .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2009, 301 (20) :2129-2140
[10]  
Choi BCK, 2005, REV PANAM SALUD PUBL, V17, P130, DOI 10.1590/S1020-49892005000200012