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从SISVAN,巴西,2008-2017年获得的儿童人类学数据的质量
Natanael de Jesus Silva1,2, Juliana Freitas de Mello E Silva1, Thaís Rangel Bousquet Carrilho3
1Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimentos para Saúde. Salvador, BA, Brasil.
Revista de saude publica
|October 25, 2023
概括
巴西五岁以下儿童的人类测量数据的质量.
科学领域:
- 公共卫生 公共卫生
- 儿科 儿科 儿科
- 营养监测 营养监测 营养监测
背景情况:
- 食品和营养监测系统 (SISVAN) 对于监测巴西儿童健康至关重要.
- 评估人类识别数据的质量对于准确的健康评估和干预措施至关重要.
研究的目的:
- 评估SISVAN在2008年至2017年期间收集的5岁以下儿童的人类识别数据的质量.
- 确定数据收集实践的趋势和改进领域.
主要方法:
- 一项描述性研究分析了针对五岁以下儿童的SISVAN数据库.
- 每年使用包括覆盖范围,完整性,性别比例,年龄分布,数字偏好和z-score有效性在内的指标来评估数据质量.
- 对人类测量和z-score进行了统计分析.
主要成果:
- 在2008年至2017年期间,SISVAN中人体识别数据的覆盖率从17.7%大幅增加到45.4%.
- 出生日期,体重和身高的完整性仍然接近100%.
- 虽然总体上是平衡的,但一些数据显示体重和身高的数字偏好,不可思议的z分数超过1%,特别是在与身高相关的指数和特定地区.
结论:
- 从2008年到2017年,SISVAN5岁以下儿童的人类测量数据质量大幅提高.
- 高度测量需要进一步关注,特别是在弱势群体中,这表明需要有针对性的改进.
- 建议继续监测和完善数据收集.
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