Terra de Souza A C, Cufino E, Peterson K E, Gardner J, Vasconcelos do Amaral M I, Ascherio A
Harvard School of Public Health, Department of Maternal and Child Health, Boston, MA 02115, USA.
Int J Epidemiol. 1999 Apr;28(2):267-75. doi: 10.1093/ije/28.2.267.
Infant mortality rates vary substantially among municipalities in the State of Ceará, from 14 to 193 per 1000 live births. Identification of the determinants of these differences can be of particular importance to infant health policy and programmes in Brazil where local governments play a pivotal role in providing primary health care.
Ecological study across 140 municipalities in the State of Ceará, Brazil.
To determine the interrelationships between potential predictors of infant mortality, we classified 11 variables into proximate determinants (adequate weight gain and exclusively breastfeeding), health services variables (prenatal care up-to-date, participation in growth monitoring, immunization up-to-date, and decentralization of health services), and socioeconomic factors (female literacy rate, household income, adequate water supply, adequate sanitation, and per capita gross municipality product), and included the variables in each group simultaneously in linear regression models. In these analyses, only one of the proximate determinants (exclusively breastfeeding (inversely), R2 = 9.3) and one of the health services variables (prenatal care up-to-date (inversely), R2 = 22.8) remained significantly associated with infant mortality. In contrast, female literacy rate (inversely), household income (directly) and per capita GMP (inversely) were independently associated with the infant mortality rate (for the model including the three variables R2 = 25.2). Finally, we considered simultaneously the variables from each group, and selected a model that explained 41% of the variation in infant mortality rates between municipalities. The paradoxical direct association between household income and infant mortality was present only in models including female illiteracy rate, and suggests that among these municipalities, increases in income unaccompanied by improvements in female education may not substantially reduce infant mortality. The lack of independent associations between inadequate sanitation and infant mortality rates may be due to the uniformly poor level of this indicator across municipalities and provides no evidence against its critical role in child survival.
These results suggest that promotion of exclusive breastfeeding and increased prenatal care utilization, as well as investments in female education would have substantial positive effects in further reducing infant mortality rates in the State of Ceará.
在塞阿拉州的各个城市中,婴儿死亡率差异很大,每1000例活产中从14例到193例不等。确定这些差异的决定因素对于巴西的婴儿健康政策和项目可能尤为重要,因为地方政府在提供初级卫生保健方面发挥着关键作用。
对巴西塞阿拉州的140个城市进行生态研究。
为了确定婴儿死亡率潜在预测因素之间的相互关系,我们将11个变量分为直接决定因素(体重增加充足和纯母乳喂养)、卫生服务变量(产前检查及时、参与生长监测、免疫接种及时以及卫生服务的分散化)和社会经济因素(女性识字率、家庭收入、充足的供水、充足的卫生设施以及市人均生产总值),并将每组变量同时纳入线性回归模型。在这些分析中,只有一个直接决定因素(纯母乳喂养(呈负相关),R2 = 9.3)和一个卫生服务变量(产前检查及时(呈负相关),R2 = 22.8)与婴儿死亡率仍有显著关联。相比之下,女性识字率(呈负相关)、家庭收入(呈正相关)和市人均生产总值(呈负相关)与婴儿死亡率独立相关(对于包含这三个变量的模型,R2 = 25.2)。最后,我们同时考虑了每组变量,并选择了一个解释了各城市间婴儿死亡率41%差异的模型。家庭收入与婴儿死亡率之间矛盾的正相关仅在包含女性文盲率的模型中出现,这表明在这些城市中,收入增加而女性教育没有改善可能不会大幅降低婴儿死亡率。卫生设施不足与婴儿死亡率之间缺乏独立关联可能是由于各城市该指标水平普遍较差,且没有证据表明其在儿童生存中不具有关键作用。
这些结果表明,促进纯母乳喂养和提高产前检查利用率,以及对女性教育进行投资,将对进一步降低塞阿拉州的婴儿死亡率产生重大积极影响。