Pub Date : 2016-03-23eCollection Date: 2016-01-01DOI: 10.1017/gheg.2016.1
A A Marphatia, T J Cole, C Grijalva-Eternod, J C K Wells
National efforts to reduce low birth weight (LBW) and child malnutrition and mortality prioritise economic growth. However, this may be ineffective, while rising gross domestic product (GDP) also imposes health costs, such as obesity and non-communicable disease. There is a need to identify other potential routes for improving child health. We investigated associations of the Gender Inequality Index (GII), a national marker of women's disadvantages in reproductive health, empowerment and labour market participation, with the prevalence of LBW, child malnutrition (stunting and wasting) and mortality under 5 years in 96 countries, adjusting for national GDP. The GII displaced GDP as a predictor of LBW, explaining 36% of the variance. Independent of GDP, the GII explained 10% of the variance in wasting and stunting and 41% of the variance in child mortality. Simulations indicated that reducing GII could lead to major reductions in LBW, child malnutrition and mortality in low- and middle-income countries. Independent of national wealth, reducing women's disempowerment relative to men may reduce LBW and promote child nutritional status and survival. Longitudinal studies are now needed to evaluate the impact of efforts to reduce societal gender inequality.
{"title":"Associations of gender inequality with child malnutrition and mortality across 96 countries.","authors":"A A Marphatia, T J Cole, C Grijalva-Eternod, J C K Wells","doi":"10.1017/gheg.2016.1","DOIUrl":"https://doi.org/10.1017/gheg.2016.1","url":null,"abstract":"<p><p>National efforts to reduce low birth weight (LBW) and child malnutrition and mortality prioritise economic growth. However, this may be ineffective, while rising gross domestic product (GDP) also imposes health costs, such as obesity and non-communicable disease. There is a need to identify other potential routes for improving child health. We investigated associations of the Gender Inequality Index (GII), a national marker of women's disadvantages in reproductive health, empowerment and labour market participation, with the prevalence of LBW, child malnutrition (stunting and wasting) and mortality under 5 years in 96 countries, adjusting for national GDP. The GII displaced GDP as a predictor of LBW, explaining 36% of the variance. Independent of GDP, the GII explained 10% of the variance in wasting and stunting and 41% of the variance in child mortality. Simulations indicated that reducing GII could lead to major reductions in LBW, child malnutrition and mortality in low- and middle-income countries. Independent of national wealth, reducing women's disempowerment relative to men may reduce LBW and promote child nutritional status and survival. Longitudinal studies are now needed to evaluate the impact of efforts to reduce societal gender inequality.</p>","PeriodicalId":44052,"journal":{"name":"Global Health Epidemiology and Genomics","volume":"1 ","pages":"e6"},"PeriodicalIF":1.9,"publicationDate":"2016-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1017/gheg.2016.1","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36192823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-03-23eCollection Date: 2016-01-01DOI: 10.1017/gheg.2016.3
P Mee, K Kahn, C W Kabudula, R G Wagner, F X Gómez-Olivé, S Madhavan, Mark A Collinson, S M Tollman, P Byass
The human immunodeficiency virus (HIV) epidemic in South Africa rapidly developed into a major pandemic. Here we analyse the development of the epidemic in a rural area of the country. The data used were collected between 1992 and 2013 in a longitudinal population survey, the Agincourt Health and Demographic Surveillance Study, in the northeast of the country. Throughout the period of study mortality rates were similar in all villages, suggesting that there were multiple index cases evenly spread geographically. These were likely to have been returning migrant workers. For those aged below 39 years the HIV mortality rate was higher for women, above this age it was higher for men. This indicates the protective effect of greater access to HIV testing and treatment among older women. The recent convergence of mortality rates for Mozambicans and South Africans indicates that the former refugee population are being assimilated into the host community. More than 60% of the deaths occurring in this community between 1992 and 2013 could be attributed directly or indirectly to HIV. Recently there has been an increasing level of non-HIV mortality which has important implications for local healthcare provision. This study demonstrates how evidence from longitudinal analyses can support healthcare planning.
{"title":"The development of a localised HIV epidemic and the associated excess mortality burden in a rural area of South Africa.","authors":"P Mee, K Kahn, C W Kabudula, R G Wagner, F X Gómez-Olivé, S Madhavan, Mark A Collinson, S M Tollman, P Byass","doi":"10.1017/gheg.2016.3","DOIUrl":"10.1017/gheg.2016.3","url":null,"abstract":"<p><p>The human immunodeficiency virus (HIV) epidemic in South Africa rapidly developed into a major pandemic. Here we analyse the development of the epidemic in a rural area of the country. The data used were collected between 1992 and 2013 in a longitudinal population survey, the Agincourt Health and Demographic Surveillance Study, in the northeast of the country. Throughout the period of study mortality rates were similar in all villages, suggesting that there were multiple index cases evenly spread geographically. These were likely to have been returning migrant workers. For those aged below 39 years the HIV mortality rate was higher for women, above this age it was higher for men. This indicates the protective effect of greater access to HIV testing and treatment among older women. The recent convergence of mortality rates for Mozambicans and South Africans indicates that the former refugee population are being assimilated into the host community. More than 60% of the deaths occurring in this community between 1992 and 2013 could be attributed directly or indirectly to HIV. Recently there has been an increasing level of non-HIV mortality which has important implications for local healthcare provision. This study demonstrates how evidence from longitudinal analyses can support healthcare planning.</p>","PeriodicalId":44052,"journal":{"name":"Global Health Epidemiology and Genomics","volume":"1 ","pages":"e7"},"PeriodicalIF":1.9,"publicationDate":"2016-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1017/gheg.2016.3","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35709849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-03-08eCollection Date: 2016-01-01DOI: 10.1017/gheg.2015.6
K Ekoru, E H Young, C Adebamowo, N Balde, B J Hennig, P Kaleebu, S Kapiga, N S Levitt, M Mayige, J C Mbanya, M I McCarthy, O Nyan, M Nyirenda, J Oli, K Ramaiya, L Smeeth, E Sobngwi, C N Rotimi, M S Sandhu, A A Motala
The burden and aetiology of type 2 diabetes (T2D) and its microvascular complications may be influenced by varying behavioural and lifestyle environments as well as by genetic susceptibility. These aspects of the epidemiology of T2D have not been reliably clarified in sub-Saharan Africa (SSA), highlighting the need for context-specific epidemiological studies with the statistical resolution to inform potential preventative and therapeutic strategies. Therefore, as part of the Human Heredity and Health in Africa (H3Africa) initiative, we designed a multi-site study comprising case collections and population-based surveys at 11 sites in eight countries across SSA. The goal is to recruit up to 6000 T2D participants and 6000 control participants. We will collect questionnaire data, biophysical measurements and biological samples for chronic disease traits, risk factors and genetic data on all study participants. Through integrating epidemiological and genomic techniques, the study provides a framework for assessing the burden, spectrum and environmental and genetic risk factors for T2D and its complications across SSA. With established mechanisms for fieldwork, data and sample collection and management, data-sharing and consent for re-approaching participants, the study will be a resource for future research studies, including longitudinal studies, prospective case ascertainment of incident disease and interventional studies.
{"title":"H3Africa multi-centre study of the prevalence and environmental and genetic determinants of type 2 diabetes in sub-Saharan Africa: study protocol.","authors":"K Ekoru, E H Young, C Adebamowo, N Balde, B J Hennig, P Kaleebu, S Kapiga, N S Levitt, M Mayige, J C Mbanya, M I McCarthy, O Nyan, M Nyirenda, J Oli, K Ramaiya, L Smeeth, E Sobngwi, C N Rotimi, M S Sandhu, A A Motala","doi":"10.1017/gheg.2015.6","DOIUrl":"10.1017/gheg.2015.6","url":null,"abstract":"<p><p>The burden and aetiology of type 2 diabetes (T2D) and its microvascular complications may be influenced by varying behavioural and lifestyle environments as well as by genetic susceptibility. These aspects of the epidemiology of T2D have not been reliably clarified in sub-Saharan Africa (SSA), highlighting the need for context-specific epidemiological studies with the statistical resolution to inform potential preventative and therapeutic strategies. Therefore, as part of the Human Heredity and Health in Africa (H3Africa) initiative, we designed a multi-site study comprising case collections and population-based surveys at 11 sites in eight countries across SSA. The goal is to recruit up to 6000 T2D participants and 6000 control participants. We will collect questionnaire data, biophysical measurements and biological samples for chronic disease traits, risk factors and genetic data on all study participants. Through integrating epidemiological and genomic techniques, the study provides a framework for assessing the burden, spectrum and environmental and genetic risk factors for T2D and its complications across SSA. With established mechanisms for fieldwork, data and sample collection and management, data-sharing and consent for re-approaching participants, the study will be a resource for future research studies, including longitudinal studies, prospective case ascertainment of incident disease and interventional studies.</p>","PeriodicalId":44052,"journal":{"name":"Global Health Epidemiology and Genomics","volume":"1 ","pages":"e5"},"PeriodicalIF":1.1,"publicationDate":"2016-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5732581/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35687822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-02-23eCollection Date: 2016-01-01DOI: 10.1017/gheg.2015.5
R Roy Chaudhury, D Mehta
There has been a drop in clinical research in India following stringent conditions put in place by the Indian Supreme Court in 2013. The Court's orders came in the wake of irregularities highlighted in the conduct of clinical trials in the country. This paper highlights the steps taken by the Indian regulator, the Central Drugs Standard Control Organisation to comply with these directions. These are of three kinds: strengthening regulatory institutions, protecting participant safety and creating regulatory certainty for sponsors and investigators. Examples include the large-scale training of Ethics Committees, framing detailed guidelines on compensation and audiovisual recording of the informed consent process, as well as reducing the time taken to process applications. It is expected that these measures will inspire confidence for the much-needed resumption of clinical research.
{"title":"Regulatory developments in the conduct of clinical trials in India.","authors":"R Roy Chaudhury, D Mehta","doi":"10.1017/gheg.2015.5","DOIUrl":"https://doi.org/10.1017/gheg.2015.5","url":null,"abstract":"<p><p>There has been a drop in clinical research in India following stringent conditions put in place by the Indian Supreme Court in 2013. The Court's orders came in the wake of irregularities highlighted in the conduct of clinical trials in the country. This paper highlights the steps taken by the Indian regulator, the Central Drugs Standard Control Organisation to comply with these directions. These are of three kinds: strengthening regulatory institutions, protecting participant safety and creating regulatory certainty for sponsors and investigators. Examples include the large-scale training of Ethics Committees, framing detailed guidelines on compensation and audiovisual recording of the informed consent process, as well as reducing the time taken to process applications. It is expected that these measures will inspire confidence for the much-needed resumption of clinical research.</p>","PeriodicalId":44052,"journal":{"name":"Global Health Epidemiology and Genomics","volume":"1 ","pages":"e4"},"PeriodicalIF":1.9,"publicationDate":"2016-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1017/gheg.2015.5","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36192822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-02-05eCollection Date: 2016-01-01DOI: 10.1017/gheg.2015.2
M S Sandhu
Welcome to Global Health, Epidemiology & Genomics (GHEG), a new Open Access journal committed to providing a forum for communicating research and views on interdisciplinary global health. GHEG welcomes research contributions that address and increase our understanding of human population diversity, health and disease, with a special emphasis on those that describe advances in technologies [1] and implementation science [2] relevant to global health and disadvantaged populations. In the face of emerging epidemics, neglected diseases, drug resistance and complex epidemiological transitions, we need to improve access to and delivery of healthcare on a global scale, including integrated healthcare systems for both communicable and non-communicable diseases and co-morbidities at a cost that can be borne by nations with limited resourcing and within the most challenging environments [3]. To facilitate the integration of research findings and evidence into healthcare policy and practice, we will also need to assimilate discovery science and technological advances, including new drugs, vaccines, and methods for disease surveillance and diagnosis. Such advances have the potential to save millions of lives, globally. In these contexts, GHEG will disseminate a broad range of research and views on global health. We aim to promote research that spans genetic disease susceptibility and genomic medicine [4], pathogen surveillance and disease transmission, to the integration of e-health resources, mobile technologies, point-of-care testing for diseases [1], healthcare systems and delivery, and pragmatic community or therapeutic interventions to improve global human health. The breadth of this journal will be its strength. As an Open Access and on-line journal, we encourage readers to access articles outside the immediate scope of their own work and thereby increase and strengthen knowledge beyond their individual specialties. We believe that by building an interactive, open and welcoming community of global health research and implementation professionals we can increase the level of interest, understanding and commitment to work in the global health arena. To that end, alongside the journal, we have developed an active website featuring interviews, blog articles and social media comments. We encourage our readership to actively contribute in this area. For ease of navigation, we have categorised contributions to GHEG by subject matter covering a comprehensive range of relevant areas including epidemiology, genetics, observational epidemiological studies, community interventions, clinical trials, health systems and services, and population demography and history. Given that many articles will have multidisciplinary themes, we will link articles across research themes, disciplines and by geographic region. These future developments will help identify knowledge gaps and research needs. We also plan to publish themed collections of the journal to allow for detailed
{"title":"A forum for global population health, technological advances and implementation science.","authors":"M S Sandhu","doi":"10.1017/gheg.2015.2","DOIUrl":"https://doi.org/10.1017/gheg.2015.2","url":null,"abstract":"Welcome to Global Health, Epidemiology & Genomics (GHEG), a new Open Access journal committed to providing a forum for communicating research and views on interdisciplinary global health. GHEG welcomes research contributions that address and increase our understanding of human population diversity, health and disease, with a special emphasis on those that describe advances in technologies [1] and implementation science [2] relevant to global health and disadvantaged populations. In the face of emerging epidemics, neglected diseases, drug resistance and complex epidemiological transitions, we need to improve access to and delivery of healthcare on a global scale, including integrated healthcare systems for both communicable and non-communicable diseases and co-morbidities at a cost that can be borne by nations with limited resourcing and within the most challenging environments [3]. To facilitate the integration of research findings and evidence into healthcare policy and practice, we will also need to assimilate discovery science and technological advances, including new drugs, vaccines, and methods for disease surveillance and diagnosis. Such advances have the potential to save millions of lives, globally. In these contexts, GHEG will disseminate a broad range of research and views on global health. We aim to promote research that spans genetic disease susceptibility and genomic medicine [4], pathogen surveillance and disease transmission, to the integration of e-health resources, mobile technologies, point-of-care testing for diseases [1], healthcare systems and delivery, and pragmatic community or therapeutic interventions to improve global human health. The breadth of this journal will be its strength. As an Open Access and on-line journal, we encourage readers to access articles outside the immediate scope of their own work and thereby increase and strengthen knowledge beyond their individual specialties. We believe that by building an interactive, open and welcoming community of global health research and implementation professionals we can increase the level of interest, understanding and commitment to work in the global health arena. To that end, alongside the journal, we have developed an active website featuring interviews, blog articles and social media comments. We encourage our readership to actively contribute in this area. For ease of navigation, we have categorised contributions to GHEG by subject matter covering a comprehensive range of relevant areas including epidemiology, genetics, observational epidemiological studies, community interventions, clinical trials, health systems and services, and population demography and history. Given that many articles will have multidisciplinary themes, we will link articles across research themes, disciplines and by geographic region. These future developments will help identify knowledge gaps and research needs. We also plan to publish themed collections of the journal to allow for detailed","PeriodicalId":44052,"journal":{"name":"Global Health Epidemiology and Genomics","volume":"1 ","pages":"e1"},"PeriodicalIF":1.9,"publicationDate":"2016-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1017/gheg.2015.2","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36192820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-02-05eCollection Date: 2016-01-01DOI: 10.1017/gheg.2015.3
T R Hird, E H Young, F J Pirie, J Riha, T M Esterhuizen, B O'Leary, M I McCarthy, M S Sandhu, A A Motala
The Durban Diabetes Study (DDS) is a population-based cross-sectional survey of an urban black population in the eThekwini Municipality (city of Durban) in South Africa. The survey combines health, lifestyle and socioeconomic questionnaire data with standardised biophysical measurements, biomarkers for non-communicable and infectious diseases, and genetic data. Data collection for the study is currently underway and the target sample size is 10 000 participants. The DDS has an established infrastructure for survey fieldwork, data collection and management, sample processing and storage, managed data sharing and consent for re-approaching participants, which can be utilised for further research studies. As such, the DDS represents a rich platform for investigating the distribution, interrelation and aetiology of chronic diseases and their risk factors, which is critical for developing health care policies for disease management and prevention. For data access enquiries please contact the African Partnership for Chronic Disease Research (APCDR) at data@apcdr.org or the corresponding author.
{"title":"Study profile: the Durban Diabetes Study (DDS): a platform for chronic disease research.","authors":"T R Hird, E H Young, F J Pirie, J Riha, T M Esterhuizen, B O'Leary, M I McCarthy, M S Sandhu, A A Motala","doi":"10.1017/gheg.2015.3","DOIUrl":"https://doi.org/10.1017/gheg.2015.3","url":null,"abstract":"<p><p>The Durban Diabetes Study (DDS) is a population-based cross-sectional survey of an urban black population in the eThekwini Municipality (city of Durban) in South Africa. The survey combines health, lifestyle and socioeconomic questionnaire data with standardised biophysical measurements, biomarkers for non-communicable and infectious diseases, and genetic data. Data collection for the study is currently underway and the target sample size is 10 000 participants. The DDS has an established infrastructure for survey fieldwork, data collection and management, sample processing and storage, managed data sharing and consent for re-approaching participants, which can be utilised for further research studies. As such, the DDS represents a rich platform for investigating the distribution, interrelation and aetiology of chronic diseases and their risk factors, which is critical for developing health care policies for disease management and prevention. For data access enquiries please contact the African Partnership for Chronic Disease Research (APCDR) at data@apcdr.org or the corresponding author.</p>","PeriodicalId":44052,"journal":{"name":"Global Health Epidemiology and Genomics","volume":"1 ","pages":"e2"},"PeriodicalIF":1.9,"publicationDate":"2016-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1017/gheg.2015.3","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35687821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-02-05eCollection Date: 2016-01-01DOI: 10.1017/gheg.2015.4
J Jaime Miranda, Caren Weinhouse, Rodrigo M Carrillo-Larco, Lijing L Yan
Migration poses a significant and worsening public health problem. As the world becomes increasingly interdependent and the global population continues to expand, rates of bothwithincountry and international migration are rising. Migrants tend to experience differential risks for chronic disease, including cardiovascular and metabolic diseases [1–7]. Differential health outcomes in international migrants are not limited to migrants fromdeveloping todevelopedcountries;migrants fromonedeveloped country to anotherwith regional differences in chronic disease risk may be impacted, as well [8]. Lifestyle factors do not fully explain increased disease risk in some migrant populations. Prior studies have suggested that increases in body mass and blood pressure in migrant populations are related to stress-induced dietary or physical activity changes. These increased risk factors may subsequently influence disease risk [3]. However, individuals that migrated from a subsistence lifestyle on Pacific atoll Tokelau to an urbanized Western lifestyle in New Zealand showed increased blood pressure in men that cannot be fully explained by concomitant dietary changes and weight gain [4]. Migrants often display cardiovascular disease (CVD) risk intermediate to that of non-migrants in their country of origin and to host population natives [5, 9]. These outcomes suggest that setting of origin, together with initial exposures to such settings, plays a role in acquired disease even in the presence of host population lifestyle factors [5, 9]. Although lifetime risks in migrant groups may approach those of the host population over time, there is evidence for differential health outcomes in migrant populations as compared with non-migrants in studies with relatively long follow-up periods. For example, the Finnish Twins Cohort study reported CVD risk intermediate to that of the migrants’ country of origin and of the host population after a 23-year follow-up [5]. Further, in cases in which lifetime risks of migrants do approach the host population over time, the intervening period of differential health is of strong public health interest. Genetic differences do not fully explain differential disease risk, either. Genetic heterogeneity within a country may contribute to differences in health outcomes between migrants and non-migrants if migration is non-random for genetic markers [8]. However, twins that migrated from Finland to Sweden displayed a higher CVD risk than low-risk native Swedes, but a lower risk than their co-twins in highrisk Finland. These data suggest that differential health by the migration status is strongly influenced by environmental factors [5]. In addition, cardiovascular risk factors in * Address for correspondence: J. Jaime Miranda, MD, PhD, CRONICAS Centro de Excelencia en Enfermedades Cronicas, Universidad Peruana Cayetano Heredia, Av. Armendariz 497, Miraflores, Lima 18, Peru. (Email: jaime.miranda@upch.pe)
{"title":"Capitalizing on natural experiments in low- to middle-income countries to explore epigenetic contributions to disease risk in migrant populations.","authors":"J Jaime Miranda, Caren Weinhouse, Rodrigo M Carrillo-Larco, Lijing L Yan","doi":"10.1017/gheg.2015.4","DOIUrl":"https://doi.org/10.1017/gheg.2015.4","url":null,"abstract":"Migration poses a significant and worsening public health problem. As the world becomes increasingly interdependent and the global population continues to expand, rates of bothwithincountry and international migration are rising. Migrants tend to experience differential risks for chronic disease, including cardiovascular and metabolic diseases [1–7]. Differential health outcomes in international migrants are not limited to migrants fromdeveloping todevelopedcountries;migrants fromonedeveloped country to anotherwith regional differences in chronic disease risk may be impacted, as well [8]. Lifestyle factors do not fully explain increased disease risk in some migrant populations. Prior studies have suggested that increases in body mass and blood pressure in migrant populations are related to stress-induced dietary or physical activity changes. These increased risk factors may subsequently influence disease risk [3]. However, individuals that migrated from a subsistence lifestyle on Pacific atoll Tokelau to an urbanized Western lifestyle in New Zealand showed increased blood pressure in men that cannot be fully explained by concomitant dietary changes and weight gain [4]. Migrants often display cardiovascular disease (CVD) risk intermediate to that of non-migrants in their country of origin and to host population natives [5, 9]. These outcomes suggest that setting of origin, together with initial exposures to such settings, plays a role in acquired disease even in the presence of host population lifestyle factors [5, 9]. Although lifetime risks in migrant groups may approach those of the host population over time, there is evidence for differential health outcomes in migrant populations as compared with non-migrants in studies with relatively long follow-up periods. For example, the Finnish Twins Cohort study reported CVD risk intermediate to that of the migrants’ country of origin and of the host population after a 23-year follow-up [5]. Further, in cases in which lifetime risks of migrants do approach the host population over time, the intervening period of differential health is of strong public health interest. Genetic differences do not fully explain differential disease risk, either. Genetic heterogeneity within a country may contribute to differences in health outcomes between migrants and non-migrants if migration is non-random for genetic markers [8]. However, twins that migrated from Finland to Sweden displayed a higher CVD risk than low-risk native Swedes, but a lower risk than their co-twins in highrisk Finland. These data suggest that differential health by the migration status is strongly influenced by environmental factors [5]. In addition, cardiovascular risk factors in * Address for correspondence: J. Jaime Miranda, MD, PhD, CRONICAS Centro de Excelencia en Enfermedades Cronicas, Universidad Peruana Cayetano Heredia, Av. Armendariz 497, Miraflores, Lima 18, Peru. (Email: jaime.miranda@upch.pe)","PeriodicalId":44052,"journal":{"name":"Global Health Epidemiology and Genomics","volume":"1 ","pages":"e3"},"PeriodicalIF":1.9,"publicationDate":"2016-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1017/gheg.2015.4","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36192821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}