Sib-recruitment for studying migration and its impact on obesity and diabetes

<p>Abstract</p> <p>Background</p> <p>Urban-rural comparisons are of limited relevance in examining the effects of urban migration in developing countries where urbanisation is due to growth of existing urban populations, expansion of urban boundaries, and rural in-migra...

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Main Authors: Prabhakaran Dorairaj, Reddy Srinath, Shlomo Yoav, Kinra Sanjay, Lyngdoh Tanica, Smith George, Ebrahim Shah
Format: Article
Language:English
Published: BMC 2006-03-01
Series:Emerging Themes in Epidemiology
Online Access:http://www.ete-online.com/content/3/1/2
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author Prabhakaran Dorairaj
Reddy Srinath
Shlomo Yoav
Kinra Sanjay
Lyngdoh Tanica
Smith George
Ebrahim Shah
author_facet Prabhakaran Dorairaj
Reddy Srinath
Shlomo Yoav
Kinra Sanjay
Lyngdoh Tanica
Smith George
Ebrahim Shah
author_sort Prabhakaran Dorairaj
collection DOAJ
description <p>Abstract</p> <p>Background</p> <p>Urban-rural comparisons are of limited relevance in examining the effects of urban migration in developing countries where urbanisation is due to growth of existing urban populations, expansion of urban boundaries, and rural in-migration. Cultural, genetic and life-style backgrounds of migrants and host populations further limit the value of rural-urban comparisons. Therefore we evaluated a sib-comparison design intended to overcome the limitations of urban-rural comparisons.</p> <p>Methods</p> <p>Using the framework of a current cardiovascular risk factor screening study conducted in Indian factories, we recruited the non-migrant rural sibs of migrant urban factory workers and the urban sibs of non-migrant factory workers. The response rate, completed interviews and examinations conducted were assessed. Adequacy of generic food frequency questionnaires and WHO quality of life questionnaire were assessed.</p> <p>Results</p> <p>All the urban factory workers and spouses approached agreed to be interviewed. Of the 697 participants interviewed, 293 (42%) had at least one rural dwelling sibling. Twenty (22%) siblings lived further than 100 km from the study site. An additional 21 urban siblings of non-migrant factory workers were also investigated to test the logistics of this element of the study. Obesity (BMI >25 kg/m2) was more common in rural sibs than urban factory workers (age adjusted prevalence: 21.1% (17.1 to 25.0) vs. 16.1% (11.9, 20.3). Diabetes prevalence (fasting plasma glucose greater than 126 mg/dl) was higher than expected (age-adjusted prevalence: 12.5% (22 out of 93) in urban migrants and 4.5% (8 out of 90) in rural non-migrant sibs.</p> <p>Conclusion</p> <p>The sib-comparison design is robust and has been adopted in the main study. It is possible that simple urban-rural study designs under-estimate the true differences in diabetes risk between migrants and non-migrants.</p>
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spelling doaj.art-2e745fd8502a4923a5f7357da831320c2022-12-22T03:04:41ZengBMCEmerging Themes in Epidemiology1742-76222006-03-0131210.1186/1742-7622-3-2Sib-recruitment for studying migration and its impact on obesity and diabetesPrabhakaran DorairajReddy SrinathShlomo YoavKinra SanjayLyngdoh TanicaSmith GeorgeEbrahim Shah<p>Abstract</p> <p>Background</p> <p>Urban-rural comparisons are of limited relevance in examining the effects of urban migration in developing countries where urbanisation is due to growth of existing urban populations, expansion of urban boundaries, and rural in-migration. Cultural, genetic and life-style backgrounds of migrants and host populations further limit the value of rural-urban comparisons. Therefore we evaluated a sib-comparison design intended to overcome the limitations of urban-rural comparisons.</p> <p>Methods</p> <p>Using the framework of a current cardiovascular risk factor screening study conducted in Indian factories, we recruited the non-migrant rural sibs of migrant urban factory workers and the urban sibs of non-migrant factory workers. The response rate, completed interviews and examinations conducted were assessed. Adequacy of generic food frequency questionnaires and WHO quality of life questionnaire were assessed.</p> <p>Results</p> <p>All the urban factory workers and spouses approached agreed to be interviewed. Of the 697 participants interviewed, 293 (42%) had at least one rural dwelling sibling. Twenty (22%) siblings lived further than 100 km from the study site. An additional 21 urban siblings of non-migrant factory workers were also investigated to test the logistics of this element of the study. Obesity (BMI >25 kg/m2) was more common in rural sibs than urban factory workers (age adjusted prevalence: 21.1% (17.1 to 25.0) vs. 16.1% (11.9, 20.3). Diabetes prevalence (fasting plasma glucose greater than 126 mg/dl) was higher than expected (age-adjusted prevalence: 12.5% (22 out of 93) in urban migrants and 4.5% (8 out of 90) in rural non-migrant sibs.</p> <p>Conclusion</p> <p>The sib-comparison design is robust and has been adopted in the main study. It is possible that simple urban-rural study designs under-estimate the true differences in diabetes risk between migrants and non-migrants.</p>http://www.ete-online.com/content/3/1/2
spellingShingle Prabhakaran Dorairaj
Reddy Srinath
Shlomo Yoav
Kinra Sanjay
Lyngdoh Tanica
Smith George
Ebrahim Shah
Sib-recruitment for studying migration and its impact on obesity and diabetes
Emerging Themes in Epidemiology
title Sib-recruitment for studying migration and its impact on obesity and diabetes
title_full Sib-recruitment for studying migration and its impact on obesity and diabetes
title_fullStr Sib-recruitment for studying migration and its impact on obesity and diabetes
title_full_unstemmed Sib-recruitment for studying migration and its impact on obesity and diabetes
title_short Sib-recruitment for studying migration and its impact on obesity and diabetes
title_sort sib recruitment for studying migration and its impact on obesity and diabetes
url http://www.ete-online.com/content/3/1/2
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AT kinrasanjay sibrecruitmentforstudyingmigrationanditsimpactonobesityanddiabetes
AT lyngdohtanica sibrecruitmentforstudyingmigrationanditsimpactonobesityanddiabetes
AT smithgeorge sibrecruitmentforstudyingmigrationanditsimpactonobesityanddiabetes
AT ebrahimshah sibrecruitmentforstudyingmigrationanditsimpactonobesityanddiabetes