Born in Bradford: environmental exposure and birth weight

出生体重反映了胎儿的生长发育和幸福感，被全球公认为围产期和婴儿健康的指标。一些研究表明，饮用水中的职业、空气污染和氯化副产物可能与低出生体重/宫内发育迟缓有关(Nieuwenhuijsen等人2000年、Sram等人2005年、Farrow等人1998年、Chia等人2004年、Rylander和Kallen 2005年)，但证据尚不确定，部分原因是已进行的流行病学研究中的暴露评估有限。需要一项大规模的前瞻性出生队列研究，以提供确凿证据，证明职业、氯化副产品和空气污染与出生体重之间的联系。这项研究的总体目标是汇集一个由医生、流行病学家、遗传学家、环境科学家、社会科学家和统计建模人员组成的多学科团队，以建设能力并为进一步研究奠定基础，以调查饮用水中的职业因素、与交通相关的空气污染和氯化消毒副产品与宫内生长迟缓/低出生体重之间的关系(如果有的话)，同时考虑到已知的潜在混杂因素，如吸烟和出生在布拉德福德的种族。这项工作的主要重点是收集信息，以验证暴露估计数，并开始收集暴露模型的数据，并拟订将其与健康数据联系起来的战略。

Birth weight reflects intrauterine growth and wellbeing and is recognised globally as an indicator of perinatal and infant health. A number of studies have suggested that occupation, air pollution and chlorination by-products in drinking water may be associated with low birth weight/intra uterine growth retardation (Nieuwenhuijsen et al 2000, Sram et al 2005, Farrow et al 1998, Chia et al 2004, Rylander and Kallen 2005), but the evidence is inconclusive, partly as a result of limited exposure assessments in the epidemiological studies that have been conducted. A large prospective birth cohort study is required to provide conclusive evidence about the link between occupation, chlorination by-products and air pollution on birth weight. The overall aim of this study is to bring together a multi-disciplinary team of physicians, epidemiologists, geneticists, environmental scientists, social scientists and statistical modellers to build capacity and lay the ground work for further studies to investigate the relationship, if any, between occupational factors, traffic related air pollution and chlorination disinfection by-products (DBPs) in drinking water and intra uterine growth retardation/low birth weight, taking into account known potential confounders such as smoking and ethnicity in the Born in Bradford study of 10,000 pregancies. The main focus of the work is the collection of information for the validation of exposure estimates, together with the initiation of data collection for the exposure modelling and preparing a strategy for linking them to health data.