Raine eye health study: Design, methodology and baseline prevalence of ophthalmic disease in a birth-cohort study of young adults

Ophthalmic Genetics

Volumn 34, Issue 4, 2013, Pages 199-208

  Yazar, Seyhan ^a   Forward, Hannah ^a   Mcknight, Charlotte M ^a   Tan, Alex ^a   Soloshenko, Alla ^a   Oates, Sandra K ^a   Ang, Wei ^b   Sherwin, Justin C ^a,c   Wood, Diane ^d   Mountain, Jenny A ^d   Pennell, Craig E ^b   Hewitt, Alex W ^a   Mackey, David A ^a  

^a UNIVERSITY OF WESTERN AUSTRALIA   (Australia)

^b UNIVERSITY OF WESTERN AUSTRALIA   (Australia)

^c UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^d UNIVERSITY OF WESTERN AUSTRALIA   (Australia)

Author keywords

Birth cohort study; Epidemiology; Participation; Raine Study; Recruitment; Young adults

Indexed keywords

DNA;

ADULT; ARTICLE; BIOMETRY; BIRTH; CATARACT; CAUCASIAN; CLINICAL ASSESSMENT; COHORT ANALYSIS; EYE DISEASE; EYE EXAMINATION; EYE PHOTOGRAPHY; FEMALE; FOLLOW UP; GENETIC ASSOCIATION; GENETIC SUSCEPTIBILITY; HUMAN; HYPOTHESIS; KERATITIS; KERATOCONUS; MAJOR CLINICAL STUDY; MALE; PRIORITY JOURNAL; QUESTIONNAIRE; SOCIOECONOMICS; UVEITIS; VISUAL ACUITY;

COHORT STUDIES; EUROPEAN CONTINENTAL ANCESTRY GROUP; EYE DISEASES; FEMALE; FOLLOW-UP STUDIES; GENOME-WIDE ASSOCIATION STUDY; HEALTH SURVEYS; HUMANS; MALE; PREVALENCE; PROSPECTIVE STUDIES; QUESTIONNAIRES; RESEARCH DESIGN; RISK FACTORS; VISUAL ACUITY; WESTERN AUSTRALIA; YOUNG ADULT;

EID: 84878950619     PISSN: 13816810     EISSN: 17445094     Source Type: Journal    
DOI: 10.3109/13816810.2012.755632     Document Type: Article

References (22)

1. Forward H, Hewitt AW, Mackey DA. Missing X and Y: A review of participant ages in population-based eye studies. Clin Experiment Ophthalmol 2012;40:305-319.
2. World Health Organization. The Global Initiative for the Elimination of Avoidable Blindness. Vision 2020 - The Right to Sight. 2007:3.
3. Rahi JS, Cumberland PM, Peckham CS. Myopia over the life course: Prevalence and early life influences in the 1958 British birth cohort. Ophthalmology 2011;118:797-804.
4. Szklo M. Population-based cohort studies. Epidemiol Rev 1998;20:81-90.
5. Newnham JP, Evans SF, Michael CA, et al. Effects of frequent ultrasound during pregnancy: A randomised controlled trial. Lancet 1993;342:887-891.
6. Blake KV, Gurrin LC, Beilin LJ, et al. Prenatal ultrasound biometry related to subsequent blood pressure in childhood. J Epidemiol Community Health 2002;56:713-718.
7. van Rossum EFC, Federenko IS, Koper JW, et al. Common polymorphisms in the glucocorticoid receptor gene are associated with adrenocortical responses to psychosocial stress. J Clin Endocrinol Metabolism 2004; 89:565-573.
8. Oddy WH, Kendall GE, Blair E, et al. Breast feeding and cognitive development in childhood: A prospective birth cohort study. Paediatr Perinat Epidemiol 2003; 17:81-90.
9. O'Sullivan TA, Robinson M, Kendall GE, et al. A goodquality breakfast is associated with better mental health in adolescence. Public Health Nutr 2009;12:249-258.
10. Robinson M, Oddy WH, Li J, et al. Pre- And postnatal influences on preschool mental health: A large-scale cohort study. J Child Psychol Psyc 2008;49:1118-1128.
11. Ambrosini GL, Huang R-C, Mori TA, et al. Dietary patterns and markers for the metabolic syndrome in Australian adolescents. Nutr Metab Cardiovasc Dis. 2010;20:274-283.
12. Ambrosini GL, O'Sullivan TA, De Klerk NH, et al. Relative validity of adolescent dietary patterns: A comparison of a FFQ and 3 d food record. Br J Nutr 2011;105:625-633.
13. Hands B, Larkin D, Parker H, et al. The relationship among physical activity, motor competence and health-related fitness in 14-year-old adolescents. Scand J Med Sci Sports 2009;19:655-663.
14. Ridley K, Olds T, Hands B, et al. Intra-individual variation in children's physical activity patterns: Implications for measurement. J Sci Med Sport 2009;12:568-572.
15. Beilin L, Huang R-C. Childhood obesity, hypertension, the metabolic syndrome and adult cardiovascular disease. Clin Exp Pharmacol Physiol 2008;35:409-411.
16. Huang R-C, de Klerk N, Mori TA, et al. Differential relationships between anthropometry measures and cardiovascular risk factors in boys and girls. Int J Pediatr Obes 2011;6:e271-82.
17. Haarbo J, Gotfredsen A, Hassager C, Christiansen C. Validation of body composition by dual energy X-ray absorptiometry (DEXA). Clin Physiol 1991; 11:331-341.
18. Foucher J, Chanteloup E, Vergniol J, et al. Diagnosis of cirrhosis by transient elastography (FibroScan): A prospective study. Gut 2006;55:403-408.
19. Purcell S, Neale B, Todd-Brown K, et al. PLINK: A tool set for whole-genome association and population-based linkage analyses. Am J Hum Genet 2007;81:559-575.
20. Gauderman WJ. Quanto 1.1: A computer program for power and sample size calculations for genetic-epidemiology studies. hydrauscedu. Available from: Http://hydra.usc.edu/gxe [last accessed 15 April 2012].
21. Williams LA, Evans SF, Newnham JP. Prospective cohort study of factors influencing the relative weights of the placenta and the newborn infant. BMJ 1997; 314:1864-1868.
22. Statistics ABO. Western Australia at a Glance 2011. ausstatsabsgovau. Available from: Http://www.ausstats.abs. gov.au/ausstats/subscriber.nsf/0/ 26EA2BDCC3C8B4BEC A257864000FABA7/$File/13065-2011.pdf [last accessed 2 April 2012].