24
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Genomic and environmental risk factors for cardiometabolic diseases in Africa: methods used for Phase 1 of the AWI-Gen population cross-sectional study

      research-article
      a , a , b , a , c , d , c , a , b , e , a , f , c , g , e , h , a , i , g , j , k , h , h , a , b , d , l , h , a , e , e , h , a , c , l , c , e , e , c , e , g , j , k , g , g , m , n , j , k , a , b
      Global Health Action
      Taylor & Francis
      Cardiometabolic disease, African populations, burden of disease, H3Africa, AWI-Gen

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          ABSTRACT

          There is an alarming tide of cardiovascular and metabolic disease (CMD) sweeping across Africa. This may be a result of an increasingly urbanized lifestyle characterized by the growing consumption of processed and calorie-dense food, combined with physical inactivity and more sedentary behaviour. While the link between lifestyle and public health has been extensively studied in Caucasian and African American populations, few studies have been conducted in Africa. This paper describes the detailed methods for Phase 1 of the AWI-Gen study that were used to capture phenotype data and assess the associated risk factors and end points for CMD in persons over the age of 40 years in sub-Saharan Africa (SSA). We developed a population-based cross-sectional study of disease burden and phenotype in Africans, across six centres in SSA. These centres are in West Africa (Nanoro, Burkina Faso, and Navrongo, Ghana), in East Africa (Nairobi, Kenya) and in South Africa (Agincourt, Dikgale and Soweto). A total of 10,702 individuals between the ages of 40 and 60 years were recruited into the study across the six centres, plus an additional 1021 participants over the age of 60 years from the Agincourt centre. We collected socio-demographic, anthropometric, medical history, diet, physical activity, fat distribution and alcohol/tobacco consumption data from participants. Blood samples were collected for disease-related biomarker assays, and genomic DNA extraction for genome-wide association studies. Urine samples were collected to assess kidney function. The study provides base-line data for the development of a series of cohorts with a second wave of data collection in Phase 2 of the study. These data will provide valuable insights into the genetic and environmental influences on CMD on the African continent.

          Related collections

          Most cited references42

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          Trends in adult body-mass index in 200 countries from 1975 to 2014: a pooled analysis of 1698 population-based measurement studies with 19·2 million participants

          Summary Background Underweight and severe and morbid obesity are associated with highly elevated risks of adverse health outcomes. We estimated trends in mean body-mass index (BMI), which characterises its population distribution, and in the prevalences of a complete set of BMI categories for adults in all countries. Methods We analysed, with use of a consistent protocol, population-based studies that had measured height and weight in adults aged 18 years and older. We applied a Bayesian hierarchical model to these data to estimate trends from 1975 to 2014 in mean BMI and in the prevalences of BMI categories (<18·5 kg/m2 [underweight], 18·5 kg/m2 to <20 kg/m2, 20 kg/m2 to <25 kg/m2, 25 kg/m2 to <30 kg/m2, 30 kg/m2 to <35 kg/m2, 35 kg/m2 to <40 kg/m2, ≥40 kg/m2 [morbid obesity]), by sex in 200 countries and territories, organised in 21 regions. We calculated the posterior probability of meeting the target of halting by 2025 the rise in obesity at its 2010 levels, if post-2000 trends continue. Findings We used 1698 population-based data sources, with more than 19·2 million adult participants (9·9 million men and 9·3 million women) in 186 of 200 countries for which estimates were made. Global age-standardised mean BMI increased from 21·7 kg/m2 (95% credible interval 21·3–22·1) in 1975 to 24·2 kg/m2 (24·0–24·4) in 2014 in men, and from 22·1 kg/m2 (21·7–22·5) in 1975 to 24·4 kg/m2 (24·2–24·6) in 2014 in women. Regional mean BMIs in 2014 for men ranged from 21·4 kg/m2 in central Africa and south Asia to 29·2 kg/m2 (28·6–29·8) in Polynesia and Micronesia; for women the range was from 21·8 kg/m2 (21·4–22·3) in south Asia to 32·2 kg/m2 (31·5–32·8) in Polynesia and Micronesia. Over these four decades, age-standardised global prevalence of underweight decreased from 13·8% (10·5–17·4) to 8·8% (7·4–10·3) in men and from 14·6% (11·6–17·9) to 9·7% (8·3–11·1) in women. South Asia had the highest prevalence of underweight in 2014, 23·4% (17·8–29·2) in men and 24·0% (18·9–29·3) in women. Age-standardised prevalence of obesity increased from 3·2% (2·4–4·1) in 1975 to 10·8% (9·7–12·0) in 2014 in men, and from 6·4% (5·1–7·8) to 14·9% (13·6–16·1) in women. 2·3% (2·0–2·7) of the world’s men and 5·0% (4·4–5·6) of women were severely obese (ie, have BMI ≥35 kg/m2). Globally, prevalence of morbid obesity was 0·64% (0·46–0·86) in men and 1·6% (1·3–1·9) in women. Interpretation If post-2000 trends continue, the probability of meeting the global obesity target is virtually zero. Rather, if these trends continue, by 2025, global obesity prevalence will reach 18% in men and surpass 21% in women; severe obesity will surpass 6% in men and 9% in women. Nonetheless, underweight remains prevalent in the world’s poorest regions, especially in south Asia. Funding Wellcome Trust, Grand Challenges Canada.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found

            Mannheim Carotid Intima-Media Thickness and Plaque Consensus (2004–2006–2011)

            Intima-media thickness (IMT) provides a surrogate end point of cardiovascular outcomes in clinical trials evaluating the efficacy of cardiovascular risk factor modification. Carotid artery plaque further adds to the cardiovascular risk assessment. It is defined as a focal structure that encroaches into the arterial lumen of at least 0.5 mm or 50% of the surrounding IMT value or demonstrates a thickness >1.5 mm as measured from the media-adventitia interface to the intima-lumen interface. The scientific basis for use of IMT in clinical trials and practice includes ultrasound physics, technical and disease-related principles as well as best practice on the performance, interpretation and documentation of study results. Comparison of IMT results obtained from epidemiological and interventional studies around the world relies on harmonization on approaches to carotid image acquisition and analysis. This updated consensus document delineates further criteria to distinguish early atherosclerotic plaque formation from thickening of IMT. Standardized methods will foster homogenous data collection and analysis, improve the power of randomized clinical trials incorporating IMT and plaque measurements and facilitate the merging of large databases for meta-analyses. IMT results are applied to individual patients as an integrated assessment of cardiovascular risk factors. However, this document recommends against serial monitoring in individual patients.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              National, regional, and global trends in systolic blood pressure since 1980: systematic analysis of health examination surveys and epidemiological studies with 786 country-years and 5·4 million participants.

              Data for trends in blood pressure are needed to understand the effects of its dietary, lifestyle, and pharmacological determinants; set intervention priorities; and evaluate national programmes. However, few worldwide analyses of trends in blood pressure have been done. We estimated worldwide trends in population mean systolic blood pressure (SBP). We estimated trends and their uncertainties in mean SBP for adults 25 years and older in 199 countries and territories. We obtained data from published and unpublished health examination surveys and epidemiological studies (786 country-years and 5·4 million participants). For each sex, we used a Bayesian hierarchical model to estimate mean SBP by age, country, and year, accounting for whether a study was nationally representative. In 2008, age-standardised mean SBP worldwide was 128·1 mm Hg (95% uncertainty interval 126·7-129·4) in men and 124·4 mm Hg (123·0-125·9) in women. Globally, between 1980 and 2008, SBP decreased by 0·8 mm Hg per decade (-0·4 to 2·2, posterior probability of being a true decline=0·90) in men and 1·0 mm Hg per decade (-0·3 to 2·3, posterior probability=0·93) in women. Female SBP decreased by 3·5 mm Hg or more per decade in western Europe and Australasia (posterior probabilities ≥0·999). Male SBP fell most in high-income North America, by 2·8 mm Hg per decade (1·3-4·5, posterior probability >0·999), followed by Australasia and western Europe where it decreased by more than 2·0 mm Hg per decade (posterior probabilities >0·98). SBP rose in Oceania, east Africa, and south and southeast Asia for both sexes, and in west Africa for women, with the increases ranging 0·8-1·6 mm Hg per decade in men (posterior probabilities 0·72-0·91) and 1·0-2·7 mm Hg per decade for women (posterior probabilities 0·75-0·98). Female SBP was highest in some east and west African countries, with means of 135 mm Hg or greater. Male SBP was highest in Baltic and east and west African countries, where mean SBP reached 138 mm Hg or more. Men and women in western Europe had the highest SBP in high-income regions. On average, global population SBP decreased slightly since 1980, but trends varied significantly across regions and countries. SBP is currently highest in low-income and middle-income countries. Effective population-based and personal interventions should be targeted towards low-income and middle-income countries. Funding Bill & Melinda Gates Foundation and WHO. Copyright © 2011 Elsevier Ltd. All rights reserved.
                Bookmark

                Author and article information

                Journal
                Glob Health Action
                Glob Health Action
                ZGHA
                zgha20
                Global Health Action
                Taylor & Francis
                1654-9716
                1654-9880
                2018
                27 September 2018
                : 11
                : Suppl 2 , BMI distribution across African communities: Africa Wits-INDEPTH Partnership for Genomic Studies (AWI-Gen)
                : 1507133
                Affiliations
                [a ] Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand , Johannesburg, South Africa
                [b ] Faculty of Health Sciences University of the Witwatersrand, Division of Human Genetics, National Health Laboratory Service and School of Pathology , Johannesburg, South Africa
                [c ] Navrongo Health Research Centre , Navrongo, Ghana
                [d ] Department of Pathology and Medical Science, School of Health Care Sciences, Faculty of Health Sciences, University of Limpopo , Polokwane, South Africa
                [e ] Clinical Research Unit of Nanoro, Institut de Recherche en Sciences de la Sante , Nanoro, Burkina Faso
                [f ] Department of Chemical Pathology, National Health Laboratory Service, Faculty of Health Sciences, University of the Witwatersrand , Johannesburg, South Africa
                [g ] MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand , Johannesburg, South Africa
                [h ] African Population and Health Research Center , Nairobi, Kenya
                [i ] School of Electrical & Information Engineering, University of the Witwatersrand , Johannesburg, South Africa
                [j ] School of Public Health, Faculty of Health Sciences, University of the Witwatersrand , Johannesburg, South Africa
                [k ] INDEPTH Network , Accra, Ghana
                [l ] MRC/Wits Developmental Pathways for Health Research Unit, Faculty of Health Sciences, University of the Witwatersrand , Johannesburg, South Africa
                [m ] Statistics Sierra Leone, Tower Hill , Freetown, Sierra Leone
                [n ] Department of Community Medicine, College of Medicine and Allied Health Sciences,University of Sierra Leone , Freetown, Sierra Leone
                Author notes
                CONTACT Michèle Ramsay michele.ramsay@ 123456wits.ac.za Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand , 9 Jubilee Road, Parktown, Johannesburg, 2193, South Africa
                Author information
                http://orcid.org/0000-0002-4124-2896
                http://orcid.org/0000-0001-7043-8065
                http://orcid.org/0000-0002-4218-5424
                http://orcid.org/0000-0003-4468-0506
                http://orcid.org/0000-0001-8325-2665
                http://orcid.org/0000-0001-8225-9531
                http://orcid.org/0000-0002-5766-1745
                http://orcid.org/0000-0003-0968-5280
                http://orcid.org/0000-0002-4876-0848
                http://orcid.org/0000-0002-6726-3898
                http://orcid.org/0000-0002-8797-0469
                http://orcid.org/0000-0002-0581-149X
                http://orcid.org/0000-0003-3339-3931
                http://orcid.org/0000-0002-9891-6046
                http://orcid.org/0000-0002-5344-5631
                http://orcid.org/0000-0002-7997-2616
                http://orcid.org/0000-0002-4132-7558
                http://orcid.org/0000-0002-4994-0779
                http://orcid.org/0000-0002-8693-1943
                http://orcid.org/0000-0003-0230-1379
                http://orcid.org/0000-0003-4616-7845
                http://orcid.org/0000-0001-7411-077X
                http://orcid.org/0000-0001-8491-6478
                http://orcid.org/0000-0001-7124-3788
                http://orcid.org/0000-0003-1595-5152
                http://orcid.org/0000-0002-9171-2083
                http://orcid.org/0000-0003-4653-7041
                http://orcid.org/0000-0002-7997-2616
                http://orcid.org/0000-0002-0766-6556
                http://orcid.org/0000-0002-1158-2523
                http://orcid.org/0000-0003-4405-9808
                http://orcid.org/0000-0002-4156-4801
                Article
                1507133
                10.1080/16549716.2018.1507133
                6161608
                30259792
                32a8807a-c879-47af-b547-0327cddc83f8
                © 2018 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 07 June 2018
                : 12 July 2018
                Page count
                Figures: 3, References: 82, Pages: 19
                Funding
                Funded by: Department of Science and Technology, South Africa
                Award ID: DST/CON 0056/2014
                Funded by: National Institutes of Health (NIH)
                Award ID: U54HG006938
                Funded by: AWI-Gen Collaborative Centre
                Award ID: U54HG006938
                Funded by: the University of the Witwatersrand, the Medical Research Council, South Africa, and the Wellcome Trust, UK
                Award ID: 058893/A/99A
                Award ID: 069683/Z/02/Z
                Award ID: 085477/Z08/Z
                Funded by: INDEPTH Network in Accra, Ghana
                Award ID: U54HG006938-03S1
                Funded by: Health and Aging Study in Africa
                Award ID: P01 AG041710
                The AWI-Gen Collaborative Centre is funded by the National Human Genome Research Institute (NHGRI), Office of the Director (OD), Eunice Kennedy Shriver National Institute Of Child Health & Human Development (NICHD), the National Institute of Environmental Health Sciences (NIEHS), the Office of AIDS research (OAR) and the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), of the National Institutes of Health (NIH) under award number U54HG006938 and its supplements, as part of the H3Africa Consortium. Additional funding was leveraged from the Department of Science and Technology, South Africa, award number DST/CON 0056/2014, and from the African Partnership for Chronic Disease Research (APCDR).
                Categories
                Study Design Article

                Health & Social care
                cardiometabolic disease,african populations,burden of disease,h3africa,awi-gen

                Comments

                Comment on this article