| Literature DB >> 23856451 |
Jessica K Paulus1, Rocío Santoyo-Vistrain, David Havelick, Amy Cohen, Robert Kalyesubula, Ikeoluwapo O Ajayi, Jens G Mattsson, Hans-Olov Adami, Shona Dalal.
Abstract
A striking disparity exists across the globe, with essentially no large-scale longitudinal studies ongoing in regions that will be significantly affected by the oncoming non-communicable disease epidemic. The successful implementation of cohort studies in most low-resource research environments presents unique challenges that may be aided by coordinated training programs. Leaders of emerging cohort studies attending the First World Cohort Integration Workshop were surveyed about training priorities, unmet needs and potential cross-cohort solutions to these barriers through an electronic pre-workshop questionnaire and focus groups. Cohort studies representing India, Mexico, Nigeria, South Africa, Sweden, Tanzania and Uganda described similar training needs, including on-the-job training, data analysis software instruction, and database and bio-bank management. A lack of funding and protected time for training activities were commonly identified constraints. Proposed solutions include a collaborative cross-cohort teaching platform with web-based content and interactive teaching methods for a range of research personnel. An international network for research mentorship and idea exchange, and modifying the graduate thesis structure were also identified as key initiatives. Cross-cohort integrated educational initiatives will efficiently meet shared needs, catalyze the development of emerging cohorts, speed closure of the global disparity in cohort research, and may fortify scientific capacity development in low-resource settings.Entities:
Keywords: Cohort studies; Epidemiology; Medical education; Mentorship; Non-communicable diseases; Public health education; Teaching; Training
Mesh:
Year: 2012 PMID: 23856451 PMCID: PMC4405114 DOI: 10.1016/j.jegh.2012.07.001
Source DB: PubMed Journal: J Epidemiol Glob Health ISSN: 2210-6006
Unique opportunities for cohort research in low- and middle-income countries.
| Area | Opportunities for research |
|---|---|
| Epidemiologic transition | Many low- and middle-income countries currently have a dual burden of both infectious and chronic conditions as they move through the epidemiologic transition, providing a unique opportunity to study infectious and chronic disease interactions Rapid economic development results in contrasting lifestyles; for example, overweight and obesity occur alongside underweight and stunting, allowing the study of both in one environment |
| Risk factors | Unique patterns of incidence and prevalence of chronic diseases such as hypertension, stroke, and cancer exist Differing lifestyle, environmental, dietary and infectious risk factors have never been studied before A better understanding of the exposure prevalence of these causal factors is needed |
| Genetic diversity | Genetic susceptibility to infectious and chronic conditions varies considerably across population and ethnic groups. Scientific findings that are applicable to diverse populations are needed Unparalleled opportunity to examine gene–gene and gene–environment interactions |
| Nested interventions | Nested randomized interventions that are context-specific are needed Multi-country intervention studies could provide insights relevant to high-income countries |
| Stimulate political will | Demonstrating the prevalence of known risk factors such as smoking and alcohol use and the diseases they cause among low- and middle-income countries’ populations could stimulate political will to tackle them aggressively Long-term studies afford training opportunities to attenuate or reverse brain drain |
Training requirements by: (a) topic; (b) constraints; and (c) strategies reported by leaders of cohort studies in India, Mexico, Nigeria, South Africa, Sweden, Tanzania and Uganda.
| Number (%) | |
|---|---|
| Scientific disciplines | |
| Epidemiology | 8 (44) |
| Biostatistics | 9 (50) |
| Nutrition | 9 (50) |
| Genetics | 11 (61) |
| Environmental health | 5 (28) |
| Health behavior | 9 (50) |
| Bioinformatics | 11 (61) |
| Cohort management | |
| Study design | 11 (61) |
| Recruitment and retention | 11 (61) |
| Database management | 13 (72) |
| Biologic bank management | 15 (83) |
| Data Analysis Software (SAS, STATA, SPSS) | 13 (72) |
| Skills | |
| Scientific writing | 10 (56) |
| Strategies for Independent Research Development | 10 (56) |
| Teamwork & Interpersonal Relationship development | 10 (56) |
| Communication & Public Relations | 11 (61) |
| Lack of funding for training, tuition or travel | 14 (77) |
| Lack of protected time to attend/organized training | 13 (72) |
| Lack of instructors with expertise | 12 (67) |
| Inadequate internet for distance learning | 10 (56) |
| Inadequate computers/software | 9 (50) |
| Inadequate textbooks or journal | 7 (39) |
| Staff speak different language than training program | 3 (17) |
| Other | 3 (17) |
| Degree programs (Doctoral, Masters, Certificate) | 13 (68) |
| Short courses | 17 (90) |
| One-day workshops | 8 (42) |
| Exchange programs with other institutions | 16 (84) |
| International network for research mentorship & idea exchange | 18 (95) |
| Advice as needed | 12 (63) |
| Web conferencing | 10 (53) |
Number and type of trainees reported by established cohort studies as of December 2010.
| Cohort study | Year cohort enrollment began | Study population location | Description of trainees | Total number trained |
|---|---|---|---|---|
| Framingham heart study | 1948 | USA | Research fellows and statisticians | 75–100 |
| Harvard cohorts (Nurses’ health study I & II, health professionals follow-up study) | 1976, 1989 | USA | 100 Pre-doctoral, hundreds of Master’s and post-doctoral | >300 |
| NYU women’s health study | 1985 | USA | 7 Pre-doctoral, 2 post-doctoral | 9 |
| Multi-Ethnic Cohort Study of Diet and Cancer (MEC) | 1993 | USA | Master’s, pre-doctoral, post-doctoral, and medical students/residents | >50 |
| Agricultural health study | 1993 | USA | 11 Master’s, 10 pre-doctoral, 2 medical residency/fellowship, 18 post-doctoral | 41 |
| Black Women’s Health Study (BWHS) | 1995 | USA | 14 Pre-doctoral | 14 |
| Shanghai Women’s Health Study (SWHS) | 1996 | China | Students and research fellows | >20 |
| Cohort of Swedish men | 1997 | Sweden | 2 Master’s, 9 pre-doctoral, 4 post-doctoral | 15 |
| Vitamins and Lifestyle (VITAL) Study | 2000 | USA | 2 Master’s, four pre-doctoral, 12 post-doctoral | 18 |
| Shanghai Men’s Health Study (SMHS) | 2001 | China | 8 Post-doctoral | 8 |
| Millennium cohort | 2001 | USA | 10 Master’s, 3 pre-doctoral | 13 |
| Breakthrough generations study | 2003 | UK | 1 pre-doctoral | 1 |
| Sister study | 2003 | USA | 2 Pre-doctoral, 7 post-doctoral (laboratory and clinical), 2 research fellows | 11 |
| Golestan Cohort Study (GCS) | 2004 | Iran | 14 Master’s, 25 pre-doctoral, 13 post-doctoral, 30 post-medical degree fellowship | 82 |
| California Teachers Study (CTS) | 2005 | USA | 8 Master’s, 14 pre-doctoral, 12 post-doctoral | 34 |