LOW BIRTHWEIGHT: CAUSES AND CONSEQUENCES

尽管低出生体重是死亡率的一个重要风险因素 围产期和新生儿期的发病率，对此知之甚少 它对以后生活中的死亡率和发病率的长期影响。 同样，低出生体重与既往不利的关系 妊娠结局尚不清楚，遗传因素对妊娠结局的影响也不清楚 出生体重。这项研究的目的是通过使用 记录在不列颠哥伦比亚省出生的120万人的连锁技术 1946-1981年间。此队列中的出生记录将链接到表单 大约75万名兄弟姐妹。这些将依次链接到大约 25万套加长的三代家庭套装。死亡率数据来自 同期，以及来自不列颠哥伦比亚省的发病率数据 健康监测登记处和入院/出院表格，将 然后链接到数据库中。数据库将细分为 七个五年的队列，然后进行分析。第一个目标将是 定义人口统计、遗传(家族)和 产科因素和出生体重。这些分析将调查 既往不良妊娠结局与新生儿体重和体重的关系 定义出生体重和围产儿结局之间的关系 父母、兄弟姐妹、阿姨/叔叔和堂兄弟姐妹。第二个目标将是 评估低出生体重儿是否为罹患 儿童时期后期和早期的死亡率或发病率增加 成人期。这将通过估计LOW的关联性来完成 出生体重与i)不良妊娠结局，尤其是围产儿 死亡率和先天畸形II)病因死亡率上升 至30岁；三)有发病风险，按人数和病程衡量 住院的原因以及住院的原因。分析将 包括比例风险模型、对数线性模型和病例对照 采用Logistic回归进行比较。

Although low birthweight represents a significant risk factor for mortality and morbidity in the perinatal and neonatal period, little is known about its long-term influence on mortality and morbidity in later life. Similarly, the relationship between low birth weight and previous adverse pregnancy outcomes in unclear, as is the influence of genetic factors on birthweight. This study is designed to address all three issues by use of record linkage techniques on 1,200,000 individuals born in British Columbia during 1946-1981. Birth records from this cohort will be linked to form approximately 750,000 sibships. These in turn will be linked into about 250,000 extended, three-generational family sets. Mortality data from the same period, along with morbidity data derived from the British Columbia Health Surveillance Registry, and hospital admissions/discharge forms, will then be linked into the database. The database will be subdivided into seven 5-year cohorts and then analyzed. The first objective will be to define the relationship between demographic, genetic (familial) and obstetrical factors and birthweight. These analyses will investigate the relationship between previous adverse pregnancy outcome and birthweight and define the relationship between birthweight and perinatal outcome in parents, siblings, aunts/uncles and cousins. The second objective will be to evaluate whether low birthweight is a significant risk factor for increased mortality or morbidity later in childhood and on into early adulthood. This will be done by estimating the association of low birthweight with i) adverse pregnancy outcome, especially perinatal mortality and congenital malformations ii) with cause-specific mortality up to age 30; iii) with risk of morbidity as measured by number and duration of hospitalisation, along with cause for hospitalisation. Analyses will include proportional hazards models, log-linear models and case-control comparisons using logistic regression.