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病假社会梯度信息偏倚:挪威母亲和儿童队列研究(MoBa)中的自我报告数据与国家登记数据的比较。

Information bias of social gradients in sickness absence: a comparison of self-report data in the Norwegian Mother and Child Cohort Study (MoBa) and data in national registries.

机构信息

Department of Occupational Medicine and Epidemiology, National Institute of Occupational Health, Oslo, Norway.

Institute for Social Research, Oslo, Norway.

出版信息

BMC Public Health. 2018 Nov 20;18(1):1275. doi: 10.1186/s12889-018-6208-9.

Abstract

BACKGROUND

Measurement error in self-report questionnaires is a common source of bias in epidemiologic studies. The study aim was to assess information bias of the educational gradient in sickness absence among participants in the Norwegian Mother and Child Cohort Study (MoBa), comparing self-report data with national register data.

METHODS

MoBa is a national prospective cohort study. The present study included 49,637 participants, born 1967-1976, who gave birth 2000-2009. The highest completed education level was recorded in categories and as educational years. Sickness absence was defined as one or more spell lasting more than 16 days between pregnancy weeks 13 and 30. We computed sickness absence risk in mid-pregnancy in strata of education level. Associations between completed educational years and sickness absence were estimated as risk differences in binomial regression and compared between self-report and register data. In additional analyses, we aimed to explain discrepancies between estimates from the two data sources.

RESULTS

The overall registry-based sickness absence risk was 0.478 and decreased for increasingly higher education in a consistent fashion, yielding an additive risk difference in association with one additional education year of - 0.032 (95% confidence interval - 0.035 to - 0.030). The self-report risk was lower (0.307) with a corresponding risk difference of only - 0.013 (95% confidence interval - 0.015 to - 0.011). The main explanation of the lower risk difference in the self-report data was a tendency for mothers in low education categories to omit reporting sickness absence in the questionnaire.

CONCLUSIONS

A plausible explanation for the biased self-report association is complexity of the sickness absence question and a resulting educational gradient in non-response. As shown for sickness absence in mid-pregnancy in the present study, national registries could be a preferred alternative to self-report questionnaires.

摘要

背景

自我报告问卷中的测量误差是流行病学研究中常见的偏倚来源。本研究旨在通过与国家登记数据比较,评估挪威母亲和儿童队列研究(MoBa)中参与者因病缺勤的教育梯度的信息偏倚。

方法

MoBa 是一项全国性的前瞻性队列研究。本研究纳入了 1967 年至 1976 年出生、2000 年至 2009 年分娩的 49637 名参与者。记录了最高完成的教育水平,分为类别和教育年限。病假定义为妊娠 13 周至 30 周期间,持续超过 16 天的一次或多次缺勤。我们在教育水平的分层中计算了妊娠中期的病假风险。采用二项式回归估计完成的受教育年限与病假之间的关联,并将其与自我报告和登记数据进行比较。在额外的分析中,我们旨在解释两个数据源估计之间的差异。

结果

基于登记的总体病假风险为 0.478,随着教育程度的提高而持续下降,与每增加一年教育相关的附加风险差异为 -0.032(95%置信区间为 -0.035 至 -0.030)。自我报告的风险较低(0.307),相应的风险差异仅为 -0.013(95%置信区间为 -0.015 至 -0.011)。自我报告数据中风险差异较低的主要解释是,低教育类别的母亲在问卷中报告病假的可能性较小。

结论

自我报告关联存在偏差的一个合理解释是病假问题的复杂性以及由此产生的非响应教育梯度。正如本研究中妊娠中期病假所示,国家登记册可能是自我报告问卷的首选替代方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d47/6245919/692ea022d8d9/12889_2018_6208_Fig1_HTML.jpg

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