Global Health Epidemiology and Genomics最新文献_第9页

Embedding gender equality into institutional strategy. 将性别平等纳入制度战略。

IF 1.9

Global Health Epidemiology and Genomics Pub Date : 2017-05-15 eCollection Date: 2017-01-01 DOI: 10.1017/gheg.2017.5

S Ahmed

引用次数: 3

Complementary and alternative medicine use by diabetes patients in Kerala, India. 印度喀拉拉邦糖尿病患者使用补充和替代药物。

IF 1.9

Global Health Epidemiology and Genomics Pub Date : 2017-05-15 eCollection Date: 2017-01-01 DOI: 10.1017/gheg.2017.6

N Vishnu, G K Mini, K R Thankappan

引用次数: 35

Antimicrobial resistance in human populations: challenges and opportunities. 人群中的抗菌素耐药性:挑战与机遇。

IF 1.9

Global Health Epidemiology and Genomics Pub Date : 2017-05-10 eCollection Date: 2017-01-01 DOI: 10.1017/gheg.2017.4

S Allcock, E H Young, M Holmes, D Gurdasani, G Dougan, M S Sandhu, L Solomon, M E Török

引用次数: 90

Mentoring for early-career women in health research: the HIGHER Women Consortium approach. 指导从事卫生研究的早期职业妇女:高等妇女联合会方法。

IF 1.9

Global Health Epidemiology and Genomics Pub Date : 2017-03-06 eCollection Date: 2017-01-01 DOI: 10.1017/gheg.2016.20

S K Kwedi Nolna, P E Essama Mekongo, R G F Leke

{"title":"Mentoring for early-career women in health research: the HIGHER Women Consortium approach.","authors":"S K Kwedi Nolna, P E Essama Mekongo, R G F Leke","doi":"10.1017/gheg.2016.20","DOIUrl":"https://doi.org/10.1017/gheg.2016.20","url":null,"abstract":"Attracting and retaining women in health research is crucial as it will maximize creativity and innovation as well as increase gender competency and expertise in the field. To help address the gender gap in the research for health field in Cameroon, some women research scientists formed the Higher Institute for Growth in HEalth Research for Women (HIGHER Women) consortium to support and encourage the growth of women research scientists through a training institute with a Mentor-Protégé Program (MPP). The consortium set up a MPP aiming at providing professional guidance to facilitate protégés' growth and emergence in health research. The consortium has conducted two workshops aiming at increasing the early-career women's skills needed to launch their career and focusing on proposal writing with the aim of producing a fundable project. Since 2015, the consortium has brought together approximately 100 women comprising of 80 protégés. The most significant outcome is in the protégés' feedback from their annual evaluations. The protégés are now more likely to submit abstracts and attend international conferences. Some grants have been obtained as a result of the working relationship with mentors. The HIGHER women consortium works to develop a pipeline of women leaders in health research by fostering growth and leadership culture through their MPP.","PeriodicalId":44052,"journal":{"name":"Global Health Epidemiology and Genomics","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2017-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1017/gheg.2016.20","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36193212","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}

引用次数: 6

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

IF 1.9

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, P P Majumder","doi":"10.1017/gheg.2016.19","DOIUrl":"https://doi.org/10.1017/gheg.2016.19","url":null,"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.","PeriodicalId":44052,"journal":{"name":"Global Health Epidemiology and Genomics","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2017-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1017/gheg.2016.19","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36193210","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}

引用次数: 2

Disease burden and the role of pharmacogenomics in African populations. 疾病负担和药物基因组学在非洲人群中的作用。

IF 1.9

Global Health Epidemiology and Genomics Pub Date : 2017-02-03 eCollection Date: 2017-01-01 DOI: 10.1017/gheg.2016.21

K L Mpye, A Matimba, K Dzobo, S Chirikure, A Wonkam, C Dandara

{"title":"Disease burden and the role of pharmacogenomics in African populations.","authors":"K L Mpye, A Matimba, K Dzobo, S Chirikure, A Wonkam, C Dandara","doi":"10.1017/gheg.2016.21","DOIUrl":"https://doi.org/10.1017/gheg.2016.21","url":null,"abstract":"Background: The burden of communicable and non-communicable diseases in Sub-Saharan Africa poses a challenge in achieving quality healthcare. Although therapeutic drugs have generally improved health, their efficacy differs from individual to individual. Variability in treatment response is mainly because of genetic variants that affect the pharmacokinetics and pharmacodynamics of drugs.Method: The intersection of disease burden and therapeutic intervention is reviewed, and the status of pharmacogenomics knowledge in African populations is explored.Results: The most commonly studied variants with pharmacogenomics relevance are discussed, especially in genes coding for enzymes that affect the response to drugs used for HIV, malaria, sickle cell disease and cardiovascular diseases.Conclusions: The genetically diverse African population is likely to benefit from a pharmacogenomics-based healthcare approach, especially with respect to reduction of drug side effects, and separation of responders and non-responders leading to optimized drug choices and doses for each patient.","PeriodicalId":44052,"journal":{"name":"Global Health Epidemiology and Genomics","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2017-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1017/gheg.2016.21","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36193211","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}

引用次数: 24

Erratum: Antimicrobial resistance in human populations: challenges and opportunities - ERRATUM. 勘误:人类抗菌素耐药性:挑战和机遇-勘误。

IF 1.9

Global Health Epidemiology and Genomics Pub Date : 2017-01-01 DOI: 10.1017/gheg.2017.12

S Allcock, E H Young, M Holmes, D Gurdasani, G Dougan, M S Sandhu, L Solomon, M E Török

引用次数: 9

The need for an integrated approach for chronic disease research and care in Africa. 非洲慢性病研究和护理需要综合方法。

IF 1.9

Global Health Epidemiology and Genomics Pub Date : 2016-11-29 eCollection Date: 2016-01-01 DOI: 10.1017/gheg.2016.16

A L Barr, E H Young, L Smeeth, R Newton, J Seeley, K Ripullone, T R Hird, J R M Thornton, M J Nyirenda, S Kapiga, C A Adebamowo, A G Amoah, N Wareham, C N Rotimi, N S Levitt, K Ramaiya, B J Hennig, J C Mbanya, S Tollman, A A Motala, P Kaleebu, M S Sandhu

引用次数: 0

Diabetes, pre-diabetes and their risk factors in Malta: a study profile of national cross-sectional prevalence study. 马耳他的糖尿病、糖尿病前期及其危险因素:国家横断面患病率研究概况。

IF 1.9

Global Health Epidemiology and Genomics Pub Date : 2016-11-23 eCollection Date: 2016-01-01 DOI: 10.1017/gheg.2016.18

S Cuschieri, J Vassallo, N Calleja, N Pace, J Mamo

{"title":"Diabetes, pre-diabetes and their risk factors in Malta: a study profile of national cross-sectional prevalence study.","authors":"S Cuschieri, J Vassallo, N Calleja, N Pace, J Mamo","doi":"10.1017/gheg.2016.18","DOIUrl":"https://doi.org/10.1017/gheg.2016.18","url":null,"abstract":"Background: Type 2 diabetes mellitus constitutes a global epidemic and a major burden on health care systems across the world. Prevention of this disease is essential, and the development of effective prevention strategies requires validated information on the disease burden and the risk factors. Embarking on a nationally representative cross-sectional study is challenging and costly. Few countries undertake this process regularly, if at all.Method: This paper sets out the evidence-based protocol of a recent cross-sectional study that was conducted in Malta. Data collection took place from November 2014 to January 2016.Results: This study presents up-to-date national data on diabetes and its risk factors (such as obesity, smoking, physical activity and alcohol intake) that will soon be publicly available.Conclusion: This protocol was compiled so that the study can be replicated in other countries. The protocol contains step-by-step descriptions of the study design, including details on the population sampling, the permissions required and the validated measurement tools used.","PeriodicalId":44052,"journal":{"name":"Global Health Epidemiology and Genomics","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2016-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1017/gheg.2016.18","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36193209","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}

引用次数: 19

H3Africa AWI-Gen Collaborative Centre: a resource to study the interplay between genomic and environmental risk factors for cardiometabolic diseases in four sub-Saharan African countries. H3Africa AWI-Gen协作中心:研究撒哈拉以南非洲四个国家心脏代谢疾病的基因组和环境风险因素之间相互作用的资源。

IF 1.9

Global Health Epidemiology and Genomics Pub Date : 2016-11-22 eCollection Date: 2016-01-01 DOI: 10.1017/gheg.2016.17

M Ramsay, N Crowther, E Tambo, G Agongo, V Baloyi, S Dikotope, X Gómez-Olivé, N Jaff, H Sorgho, R Wagner, C Khayeka-Wandabwa, A Choudhury, S Hazelhurst, K Kahn, Z Lombard, F Mukomana, C Soo, H Soodyall, A Wade, S Afolabi, I Agorinya, L Amenga-Etego, S A Ali, J D Bognini, R P Boua, C Debpuur, S Diallo, E Fato, A Kazienga, S Z Konkobo, P M Kouraogo, F Mashinya, L Micklesfield, S Nakanabo-Diallo, B Njamwea, E Nonterah, S Ouedraogo, V Pillay, A M Somande, P Tindana, R Twine, M Alberts, C Kyobutungi, S A Norris, A R Oduro, H Tinto, S Tollman, O Sankoh

{"title":"H3Africa AWI-Gen Collaborative Centre: a resource to study the interplay between genomic and environmental risk factors for cardiometabolic diseases in four sub-Saharan African countries.","authors":"M Ramsay, N Crowther, E Tambo, G Agongo, V Baloyi, S Dikotope, X Gómez-Olivé, N Jaff, H Sorgho, R Wagner, C Khayeka-Wandabwa, A Choudhury, S Hazelhurst, K Kahn, Z Lombard, F Mukomana, C Soo, H Soodyall, A Wade, S Afolabi, I Agorinya, L Amenga-Etego, S A Ali, J D Bognini, R P Boua, C Debpuur, S Diallo, E Fato, A Kazienga, S Z Konkobo, P M Kouraogo, F Mashinya, L Micklesfield, S Nakanabo-Diallo, B Njamwea, E Nonterah, S Ouedraogo, V Pillay, A M Somande, P Tindana, R Twine, M Alberts, C Kyobutungi, S A Norris, A R Oduro, H Tinto, S Tollman, O Sankoh","doi":"10.1017/gheg.2016.17","DOIUrl":"https://doi.org/10.1017/gheg.2016.17","url":null,"abstract":"Africa is experiencing a rapid increase in adult obesity and associated cardiometabolic diseases (CMDs). The H3Africa AWI-Gen Collaborative Centre was established to examine genomic and environmental factors that influence body composition, body fat distribution and CMD risk, with the aim to provide insights towards effective treatment and intervention strategies. It provides a research platform of over 10 500 participants, 40-60 years old, from Burkina Faso, Ghana, Kenya and South Africa. Following a process that involved community engagement, training of project staff and participant informed consent, participants were administered detailed questionnaires, anthropometric measurements were taken and biospecimens collected. This generated a wealth of demographic, health history, environmental, behavioural and biomarker data. The H3Africa SNP array will be used for genome-wide association studies. AWI-Gen is building capacity to perform large epidemiological, genomic and epigenomic studies across several African counties and strives to become a valuable resource for research collaborations in Africa.","PeriodicalId":44052,"journal":{"name":"Global Health Epidemiology and Genomics","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2016-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1017/gheg.2016.17","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35687824","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}

引用次数: 90