Carrillo-Larco Rodrigo M, Cajachagua-Torres Kim N, Guzman-Vilca Wilmer Cristobal, Quezada-Pinedo Hugo G, Tarazona-Meza Carla, Huicho Luis
CRONICAS Centre of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima, Peru.
Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Lancet Reg Health Am. 2021 Sep;1:None. doi: 10.1016/j.lana.2021.100017.
National and subnational characterization of birthweight profiles lacks in low- and middle-income countries, yet these are needed for monitoring the progress of national and global nutritional targets. We aimed to describe birthweight indicators at the national and subnational levels in Peru (2012-2019), and by selected correlates.
We studied mean birthweight (g), low birthweight (<2,500 g) and small for gestational age (according to international growth curves) prevalences. We analysed the national birth registry and summarized the three birthweight indicators at the national, regional, and province level, also by geographic area (Coast, Highlands, and Amazon). With individual-level data from the mother, we described the birthweight indicators by age, educational level and healthcare provider. Following an ecological approach (province level), we described the birthweight indicators by human development index (HDI), altitude above sea level, proportion of the population living in poverty and proportion of rural population.
Mean birthweight was always the lowest in the Highlands (2,954 g in 2019) yet the highest in the Coast (3,516 g in 2019). The same was observed for low birthweight and small for gestational age. In regions with Coast and Highlands, the birthweight indicators worsen from the Coast to the Highlands; the largest absolute difference in mean birthweight between Coast and Highlands in the same region was 367 g. All birthweight indicators were the worst in mothers with none/initial education, while they improved with higher HDI.
This analysis suggests that interventions are needed at the province level, given the large differences observed between Coast and Highlands even in the same region.
Wellcome Trust (214185/Z/18/Z).
低收入和中等收入国家缺乏国家及次国家级别的出生体重情况描述,而监测国家和全球营养目标的进展需要这些信息。我们旨在描述秘鲁(2012 - 2019年)国家及次国家级别的出生体重指标,并按选定的相关因素进行描述。
我们研究了平均出生体重(克)、低出生体重(<2500克)和小于胎龄儿(根据国际生长曲线)的患病率。我们分析了国家出生登记数据,并在国家、地区和省份层面总结了这三项出生体重指标,也按地理区域(海岸、高地和亚马逊地区)进行了总结。利用母亲的个体层面数据,我们按年龄、教育水平和医疗服务提供者描述了出生体重指标。遵循生态方法(省份层面),我们按人类发展指数(HDI)、海拔高度、贫困人口比例和农村人口比例描述了出生体重指标。
高地的平均出生体重始终最低(2019年为2954克),而海岸地区最高(2019年为3516克)。低出生体重和小于胎龄儿的情况也相同。在有海岸和高地的地区,出生体重指标从海岸到高地逐渐变差;同一地区海岸和高地之间平均出生体重的最大绝对差值为367克。所有出生体重指标在未接受教育/仅接受初等教育的母亲中最差,而随着HDI升高而改善。
该分析表明,鉴于即使在同一地区海岸和高地之间也存在巨大差异,省级层面需要采取干预措施。
惠康信托基金会(214185/Z/18/Z)