title: The Life Journeys Of Young Women Project: objectives, design, and recruitment results.
abstract: The Life Journeys of Young Women Project is the first population-based study to examine the role of economic uncertainty throughout early adulthood on age at first childbirth. A retrospective cross-sectional component was added to an existing cohort study that is based on a birth cohort of women born during 1973-1975 in Adelaide, South Australia (n ∼ 1,000). An event history calendar instrument was used to obtain data regarding a range of life domains including partnering, educational attainment, home ownership, higher education debt, employment, and pregnancies over a 20-year period (sometimes as detailed as at monthly intervals). Interviews were conducted between 2007 and 2009. An analysis framework applying time-varying and time-constant survival analysis techniques within a life-course framework was developed that will guide analyses to examine the role of duration and life-course timing of economic uncertainty on age at first childbirth. This paper discusses study objectives and design, fieldwork procedures, planned statistical analyses, and recruitment outcomes, focusing on novel features that would facilitate analogous epidemiologic research.
authors.affiliation: Life Course and Intergenerational Health Research Group, Discipline of Public Health, The University of Adelaide, 233 North Tce, Adelaide, South Australia 5005, Australia. emily.steele@adelaide.edu.au
authors.forename: Emily J
authors.initials: EJ
authors.lastname: Steele
authors.forename: Lynne C
authors.initials: LC
authors.lastname: Giles
authors.forename: Michael J
authors.initials: MJ
authors.lastname: Davies
authors.forename: Vivienne M
authors.initials: VM
authors.lastname: Moore
mesh_terms: D000328:Adult; D000367:Age Factors; D000465:Algorithms; D015331:Cohort Studies; D003430:Cross-Sectional Studies; D004522:Educational Status; D004651:Employment / Q000706:statistics & numerical data*; D005260:Female; D006798:Housing / Q000706:statistics & numerical data*; D006801:Humans; D008423:Maternal Age; D043762:Reproductive Behavior / Q000706:statistics & numerical data*; D012107:Research Design; D012307:Risk Factors; D013021:South Australia / Q000453:epidemiology; D011795:Surveys and Questionnaires; D035501:Uncertainty