Larsson Henrik
School of Medical Sciences Örebro University Örebro Sweden.
Department of Medical Epidemiology and Biostatistics Karolinska Institutet Stockholm Sweden.
JCPP Adv. 2021 Nov 10;1(3):e12043. doi: 10.1002/jcv2.12043. eCollection 2021 Oct.
Sophisticated statistical analyses of data from large-scale prospective birth cohort studies combined with thoughtful study designs have advanced understanding about the causes, consequences and developmental course of child and adolescent mental health problems. Available large-scale prospective cohort studies, such as ALSPAC, MoBA, and TEDS have many noteworthy strengths, but they all suffer from non-random non-participation and attrition over time. Recent findings have highlighted that prospective birth cohort studies need to carefully consider the importance of selection bias.
对来自大规模前瞻性出生队列研究的数据进行复杂的统计分析,并结合周到的研究设计,加深了人们对儿童和青少年心理健康问题的成因、后果及发展过程的理解。现有的大规模前瞻性队列研究,如阿冯纵向父母与儿童研究(ALSPAC)、挪威母亲与儿童队列研究(MoBA)和双生子早期发展研究(TEDS),有许多值得注意的优点,但它们都存在非随机不参与和随时间推移的损耗问题。最近的研究结果强调,前瞻性出生队列研究需要仔细考虑选择偏倚的重要性。