首页> 外文期刊>American Journal of Epidemiology >Reverse causation and illness-related weight loss in observational studies of body weight and mortality.
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Reverse causation and illness-related weight loss in observational studies of body weight and mortality.

机译:在体重和死亡率的观察研究中,反向因果关系和与疾病有关的体重减轻。

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摘要

In studies of weight and mortality, the construct of reverse causation has come to be used to imply that the exposure-outcome relation is biased by weight loss due to preexisting illness. Observed weight-mortality associations are sometimes thought to result from this bias. Evidence for the occurrence of such bias is weak and inconsistent, suggesting that either the analytical methods used have been inadequate or else illness-related weight loss is not an important source of bias. Deleting participants has been the most frequent approach to control possible bias. As implemented, this can lead to deletion of almost 90% of all deaths in a sample and to deletion of more overweight and obese participants than participants with normal or below normal weight. Because it has not been demonstrated that the procedures used to adjust for reverse causation increase validity or have large or systematic effects on relative risks, it is premature to consider reverse causation as an important cause of bias. Further research would be useful to elucidate the potential effects and importance of reverse causation or illness-related weight loss as a source of bias in the observed associations between weight and mortality in cohort studies.
机译:在体重和死亡率的研究中,反向因果关系的结构已被用来暗示暴露-结果关系因先前存在的疾病导致的体重减轻而产生偏差。有时认为观察到的体重-死亡率关联是由这种偏见引起的。发生这种偏见的证据薄弱且不一致,表明使用的分析方法不足或与疾病有关的体重减轻不是偏见的重要来源。删除参与者是控制偏差的最常见方法。实施后,与正常或低于正常体重的参与者相比,这可能导致样本中几乎所有死亡病例的90%删除,以及导致更多的超重和肥胖参与者删除。由于尚未证明用于调整反向因果关系的程序会提高有效性或对相对风险产生较大或系统的影响,因此将反向因果关系视为造成偏见的重要原因为时尚早。进一步的研究将有助于阐明反向因果关系或与疾病相关的体重减轻的潜在影响和重要性,这是队列研究中观察到的体重与死亡率之间关联的偏见来源。

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