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  • Ovid Technologies (Wolters Kluwer Health)  (4)
  • 1
    Online Resource
    Online Resource
    Ovid Technologies (Wolters Kluwer Health) ; 2007
    In:  European Journal of Cancer Prevention Vol. 16, No. 6 ( 2007-12), p. 576-580
    In: European Journal of Cancer Prevention, Ovid Technologies (Wolters Kluwer Health), Vol. 16, No. 6 ( 2007-12), p. 576-580
    Type of Medium: Online Resource
    ISSN: 0959-8278
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2007
    detail.hit.zdb_id: 1137033-6
    detail.hit.zdb_id: 2025799-5
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  • 2
    Online Resource
    Online Resource
    Ovid Technologies (Wolters Kluwer Health) ; 2022
    In:  Journal of the American Heart Association Vol. 11, No. 19 ( 2022-10-04)
    In: Journal of the American Heart Association, Ovid Technologies (Wolters Kluwer Health), Vol. 11, No. 19 ( 2022-10-04)
    Abstract: Alcohol intake increases blood pressure yet estimates of associations between maternal intake and hypertensive disorders of pregnancy (HDP) are sparse and range from null to a protective effect. Here we estimated the association of maternal drinking during pregnancy with preeclampsia and gestational hypertension (separately and jointly, as HDP). We used partner's alcohol intake as a negative control exposure, beverage type‐specific models, and a range of sensitivity analyses to strengthen causal inference and reduce the influence of bias. Methods and Results We performed a longitudinal analysis of prospectively collected data on self‐reported alcohol intake and presence of HDP from the UK ALSPAC (Avon Longitudinal Study of Parents and Children) cohort. Multivariable multinomial regression models were adjusted for confounders and mutually adjusted for partner's or maternal alcohol intake in the negative control analysis. We also performed a beverage type analysis of the effect of beer and wine separately on HDP risk, owing to different social patterning associated with different drinks. Sensitivity analyses assessed the robustness of results to assumptions of no recall bias, no residual confounding, and no selection bias. Of the 8999 women eligible for inclusion, 1490 fulfilled the criteria for HDP (17%). Both maternal and partner's drinking were associated with decreased HDP odds (mutually adjusted odds ratio [OR], 0.86; [95% CI, 0.77–0.96] , P =0.008 and OR, 0.82; [95% CI, 0.70–0.97], P =0.018, respectively). We demonstrate the validity of the negative control analyses using the same approach for smoking as the exposure. This confirmed an inverse association for maternal but not partner's smoking, as expected. Estimates were more extreme for increasing levels of wine intake compared with increasing levels of beer. Multiple sensitivity analyses did not alter our conclusions. Conclusions We observed an inverse relationship between alcohol intake during pregnancy and risk of HDP for both maternal and, more surprisingly, partner's drinking. We speculate that this is more likely to be due to common environmental exposures shared between pregnant women and their partners rather than a true causal effect. This warrants further investigation using different study designs, including Mendelian randomization.
    Type of Medium: Online Resource
    ISSN: 2047-9980
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2022
    detail.hit.zdb_id: 2653953-6
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  • 3
    Online Resource
    Online Resource
    Ovid Technologies (Wolters Kluwer Health) ; 2023
    In:  Epidemiology Vol. 34, No. 1 ( 2023-01), p. 20-28
    In: Epidemiology, Ovid Technologies (Wolters Kluwer Health), Vol. 34, No. 1 ( 2023-01), p. 20-28
    Abstract: Researchers often use random-effects or fixed-effects meta-analysis to combine findings from multiple study populations. However, the causal interpretation of these models is not always clear, and they do not easily translate to settings where bounds, rather than point estimates, are computed. Methods: If bounds on an average causal effect of interest in a well-defined population are computed in multiple study populations under specified identifiability assumptions, then under those assumptions the average causal effect would lie within all study-specific bounds and thus the intersection of the study-specific bounds. We demonstrate this by pooling bounds on the average causal effect of prenatal alcohol exposure on attention deficit-hyperactivity disorder symptoms, computed in two European cohorts and under multiple sets of assumptions in Mendelian randomization (MR) analyses. Results: For all assumption sets considered, pooled bounds were wide and did not identify the direction of effect. The narrowest pooled bound computed implied the risk difference was between −4 and 34 percentage points. Conclusions: All pooled bounds computed in our application covered the null, illustrating how strongly point estimates from prior MR studies of this effect rely on within-study homogeneity assumptions. We discuss how the interpretation of both pooled bounds and point estimation in MR is complicated by possible heterogeneity of effects across populations.
    Type of Medium: Online Resource
    ISSN: 1044-3983
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2023
    detail.hit.zdb_id: 2042095-X
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  • 4
    Online Resource
    Online Resource
    Ovid Technologies (Wolters Kluwer Health) ; 2007
    In:  European Journal of Cancer Prevention Vol. 16, No. 5 ( 2007-10), p. 390-395
    In: European Journal of Cancer Prevention, Ovid Technologies (Wolters Kluwer Health), Vol. 16, No. 5 ( 2007-10), p. 390-395
    Type of Medium: Online Resource
    ISSN: 0959-8278
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2007
    detail.hit.zdb_id: 1137033-6
    detail.hit.zdb_id: 2025799-5
    Location Call Number Limitation Availability
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