Kalyani cohort - the first platform in Eastern India for longitudinal studies on health and disease parameters in peri-urban setting.

IF 1.1 Q4 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Global Health Epidemiology and Genomics Pub Date : 2017-02-14 eCollection Date: 2017-01-01 DOI:10.1017/gheg.2016.19
S Chatterjee, P P Majumder
{"title":"Kalyani cohort - the first platform in Eastern India for longitudinal studies on health and disease parameters in peri-urban setting.","authors":"S Chatterjee,&nbsp;P P Majumder","doi":"10.1017/gheg.2016.19","DOIUrl":null,"url":null,"abstract":"<p><p>The Kalyani cohort created in 2010 by the National Institute of Biomedical Genomics, West Bengal, India, is designed to serve as a platform for conducting prospective basic and translational studies on epidemiology and genomics of health and disease-related parameters, particularly of non-communicable diseases (NCDs). The overall goal is to assess behavioural, biological, genetic, social and environmental factors and obtain necessary evidence for effective health improvement. Collected baseline data comprise 15727 individuals, >14 years of age from seven municipal wards in the Kalyani and Gayeshpur regions. Data are being collected on demographics, current health status, medical history and health-related behaviours. Blood samples were also collected from a subset of individuals (<i>n</i> = 5132) and analysed for estimation of known markers of NCDs. DNA has been extracted from blood samples and stored for future use. Important baseline findings include a high prevalence of diabetes, dyslipidemias and hypothyroidism. Prevalence estimates for these disorders obtained from self-reported data are significantly lower, indicating that participants are unaware of their health problems. The identification of 'at risk' individuals will allow formation of sub-cohorts for further investigations of epidemiological and genetic risk factors for NCDs. Access to the resource, including data and blood samples, created by this study will be provided to other researchers.</p>","PeriodicalId":44052,"journal":{"name":"Global Health Epidemiology and Genomics","volume":null,"pages":null},"PeriodicalIF":1.1000,"publicationDate":"2017-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1017/gheg.2016.19","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Global Health Epidemiology and Genomics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1017/gheg.2016.19","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2017/1/1 0:00:00","PubModel":"eCollection","JCR":"Q4","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 2

Abstract

The Kalyani cohort created in 2010 by the National Institute of Biomedical Genomics, West Bengal, India, is designed to serve as a platform for conducting prospective basic and translational studies on epidemiology and genomics of health and disease-related parameters, particularly of non-communicable diseases (NCDs). The overall goal is to assess behavioural, biological, genetic, social and environmental factors and obtain necessary evidence for effective health improvement. Collected baseline data comprise 15727 individuals, >14 years of age from seven municipal wards in the Kalyani and Gayeshpur regions. Data are being collected on demographics, current health status, medical history and health-related behaviours. Blood samples were also collected from a subset of individuals (n = 5132) and analysed for estimation of known markers of NCDs. DNA has been extracted from blood samples and stored for future use. Important baseline findings include a high prevalence of diabetes, dyslipidemias and hypothyroidism. Prevalence estimates for these disorders obtained from self-reported data are significantly lower, indicating that participants are unaware of their health problems. The identification of 'at risk' individuals will allow formation of sub-cohorts for further investigations of epidemiological and genetic risk factors for NCDs. Access to the resource, including data and blood samples, created by this study will be provided to other researchers.

Abstract Image

Abstract Image

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Kalyani队列——印度东部第一个对城市周边环境的健康和疾病参数进行纵向研究的平台。
印度西孟加拉邦国家生物医学基因组学研究所于2010年创建了Kalyani队列,其目的是作为一个平台,对健康和疾病相关参数,特别是非传染性疾病的流行病学和基因组学进行前瞻性基础和转化研究。总体目标是评估行为、生物、遗传、社会和环境因素,并获得有效改善健康的必要证据。收集的基线数据包括来自Kalyani和Gayeshpur地区7个市辖区的15727名>14岁的个人。正在收集有关人口统计、目前健康状况、病史和与健康有关的行为的数据。还收集了一部分个体(n = 5132)的血液样本,并对其进行分析,以估计已知的非传染性疾病标志物。从血液样本中提取DNA并储存起来以备将来使用。重要的基线发现包括糖尿病、血脂异常和甲状腺功能减退的高患病率。从自我报告的数据中获得的这些疾病的患病率估计值要低得多,这表明参与者没有意识到自己的健康问题。确定“危险”个体将允许形成亚队列,以便进一步调查非传染性疾病的流行病学和遗传风险因素。本研究创建的资源,包括数据和血液样本,将提供给其他研究人员。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Global Health Epidemiology and Genomics
Global Health Epidemiology and Genomics PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
1.40
自引率
0.00%
发文量
10
审稿时长
20 weeks
期刊最新文献
Magnitude of Neonatal Sepsis and Factors Associated with It among Neonates Admitted to the Intensive Care Units of Neonate in the Primary Hospital of Hawzen, Tigray, Ethiopia, 2020. Shisha Consumption and Presence of Cotinine in Saliva Samples among Students in Public Universities in Coastal Kenya. Healthcare Providers' Adherence to COVID-19 Prevention and Control Practices in Health Records and Information Management, Ghana. Genomic Landscape Reveals Chromosomally-Mediated Antimicrobial Resistome and Virulome of a High-Risk International Clone II Acinetobacter baumannii AB073 from Thailand. Congenital Malformations in the Moroccan Surveillance System: Contribution to Prevalence Estimation.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1