Bentham G
School of Environmental Sciences, University of East Anglia, Norwich, UK.
Int J Epidemiol. 1994 Jun;23(3):540-4. doi: 10.1093/ije/23.3.540.
Infections may be involved in some cases of sudden infant death syndrome (SIDS). Exposure to such infections is likely to differ considerably between areas depending on rates of population mixing. It is therefore possible that the geography of SIDS will reflect that of population migration.
For 403 local authority districts in England and Wales the number of SIDS deaths in the first year of life and the number of livebirths during the period 1979-1983 were abstracted from published sources. Districts were classified by levels of in-migration using data from the 1981 Census and observed and expected numbers of SIDS deaths were compared for areas experiencing different rates of in-migration.
A significant association (P < 0.001) was found between SIDS deaths and rates of long distance migration into districts. In the group with the highest rate of long distance in-migration the ratio of observed to expected SIDS deaths was 62% greater than in the group with the lowest rate of in-migration. This association was strengthened after adjustment for social class and illegitimacy. A weaker, but statistically significant, association was found for shorter distance in-migration.
It is concluded that geographical variations in SIDS deaths in England and Wales are strongly associated with differences in rates of population mixing as measured by migration. The findings support the hypothesis that population mixing, by its influence on exposure to infections, may be a significant factor in the aetiology of SIDS.
感染可能与某些婴儿猝死综合征(SIDS)病例有关。由于人口流动率不同,不同地区接触此类感染的情况可能有很大差异。因此,SIDS的地理分布可能反映人口迁移的地理分布。
从已发表的资料中提取了英格兰和威尔士403个地方当局辖区1979 - 1983年期间一岁以内SIDS死亡人数和活产数。利用1981年人口普查数据按迁入水平对辖区进行分类,并比较了不同迁入率地区SIDS死亡的观察数和预期数。
发现SIDS死亡与迁入辖区的长途迁移率之间存在显著关联(P < 0.001)。在长途迁入率最高的组中,SIDS死亡的观察数与预期数之比比迁入率最低的组高62%。在对社会阶层和非婚生情况进行调整后,这种关联得到加强。对于短途迁移,发现了一种较弱但具有统计学意义的关联。
得出的结论是,英格兰和威尔士SIDS死亡的地理差异与以迁移衡量的人口混合率差异密切相关。这些发现支持了这样一种假设,即人口混合通过其对感染暴露的影响,可能是SIDS病因学中的一个重要因素。