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首页> 外文期刊>BMC Public Health >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
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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

机译:疾病中社会梯度的信息偏见:挪威母婴队队在国家注册表中的自我报告数据的比较和国家注册表中的数据

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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. 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. 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. 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.
机译:自我报告问卷中的测量误差是流行病学研究中的偏差源。研究目的是评估挪威母亲队列研究(MOBA)的参与者在疾病缺席的教育梯度中的信息偏见,比较了与国家登记数据的自我报告数据。 Moba是一项国家未来的队列研究。本研究包括49,637名参与者,1967-1976出生,培育了2000-2009。最高完成的教育水平以类别和教育年份记录。疾病的缺失被定义为一个或多个持续超过16个以上的法术,怀孕周第13周和30日之间的天数。我们在教育水平中间怀孕中计算了疾病的缺失风险。估计已完成的教育年龄和疾病缺勤之间的协会作为二项式回归的风险差异,并在自我报告和注册数据之间进行比较。在额外的分析中,我们旨在解释两个数据来源的估计之间的差异。总线注册管理的疾病缺勤风险为0.478,以持续的方式为越来越高的教育减少,与一个额外的教育年份产生了额外的风险差异 - 0.032(95%的置信区间? - ?0.035至 - ?0.030 )。自我报告风险较低(0.307),其具有相应的风险差异 - ?0.013(95%置信区间? - ?0.015至 - ?0.011)。自我报告数据风险差异较低的主要解释是母亲在低教育类别中占据调查问卷中的报告疾病的趋势。对偏见的自我报告关联的合理解释是疾病缺席问题的复杂性,并在非反应中产生的教育梯度。如本研究中怀孕中的疾病缺勤所示,国家注册管理机构可能是自我报告问卷的首选替代品。

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