Sample selection may bias the outcome of an adolescent mental health survey: results from a five-year follow-up of 4171 adolescents

Sample selection may bias the outcome of an adolescent mental health survey: results from a five-year follow-up of 4171 adolescents
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DOI:
10.1016/j.puhe.2014.11.015
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发表时间:
2015-02-01
期刊:
影响因子:
5.2
通讯作者:
Laukkanen, E.
Laukkanen, E.
中科院分区:
医学3区
文献类型:
--
作者:
Kekkonen, V.;Kivimaki, P.;Laukkanen, E.

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目的:数据的代表性是评价研究结果意义的主要问题之一。辍学在青少年心理健康研究中很常见,并且可能会扭曲结果。然而,我们对可能影响 a) 知情同意阶段和 b) 后续阶段研究的系统偏差类型知之甚少。研究设计:作者在针对 13-18 岁青少年样本的五年随访研究中解决了这一知识差距。方法:使用自我报告问卷收集数据。基线样本由 4171 名青少年组成,其中 1827 名青少年(43.8%)同意接受后续调查,但只有 797 名青少年(19.1%)参与了随访。使用二元逻辑回归模型来解释参与。结果:年轻、女性、大量的兴趣爱好、在学校母语和普通科目的良好表现、离婚等家庭破裂、父母高就业率以及抑郁和焦虑症状与同意和参与相关。然而,心理健康方面的影响小于年龄和性别的影响。结论:本研究证实了青少年社会人口特征存在系统选择偏差的可能性。通过更严格的招募策略可能会提高研究样本的代表性。 (C) 2014 年英国皇家公共卫生学会。由爱思唯尔有限公司出版。保留所有权利。
Objectives: The representativeness of the data is one of the main issues in evaluating the significance of research findings. Dropping out is common in adolescent mental health research, and may distort the results. Nevertheless, very little is known about the types of systematic bias that may affect studies in a) the informed consent phase and b) later in follow-up phases.Study design: The authors addressed this gap in knowledge in a five-year follow-up study on a sample of adolescents aged 13-18 years.Methods: The data were collected using self-report questionnaires. The baseline sample consisted of 4171 adolescents, 1827 (43.8%) of whom gave consent to be contacted for a follow-up survey, but only 797 (19.1%) participated in the follow-up. Binary logistic regression models were used to explain the participation.Results: Young age, female gender, a high number of hobbies, good performance at school in the native language and general subjects, family disintegration such as divorce, high parental employment, and symptoms of depression and anxiety were associated with both consent and participation. However, the effect of mental health aspects was smaller than the effect of age and gender.Conclusions: This study confirmed the possibility of systematic selection bias by adolescents' sociodemographic characteristics. The representativeness of the study sample might have been improved by more intense recruitment strategies. (C) 2014 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.