Sentence examples for maternal industries from inspiring English sources

In the New York State study, 72% of maternal occupations and 77% of maternal industries or place of work on the birth certificate agreed with information from a mailed questionnaire.

Maternal occupation in the flower industry was assessed with two main variables: 1) occupation in the flower industry in the previous six years (yes, no); and 2) number of years spent working in the flower industry over the previous six years (total years).

Logistic regression analysis was conducted to assess the relation between SAB and employment in the flower industry adjusting for maternal age.

The plateau noted in industry funding of maternal research in recent years has occurred in all health topics, though this is the most difficult funding source to track [ 21].

Logistic regression models were constructed for reported history of SAB (y/n) to assess the effect of maternal occupation in the flower industry during the previous six years, after controlling for potential confounders.

Furthermore, relying on an indirect exposure measurement (i.e., history of maternal occupation in the flower industry), which does not detail the specific potential pathways of pesticide exposure, may lead to exposure misclassification.

Several methods were employed in assessing potential confounders: 1) inclusion of variables based on what has been cited in the literature; 2) inclusion of variables that were significantly associated with both maternal occupation in the flower industry in the previous six years and reported SAB; 3) inclusion of variables that changed the beta coefficient by at least 10%.

We did not have an actual measure of exposure other than history of maternal occupation in the flower industry so we are unable to separate out effects that might have been related to physical strain, stress, or heat from effects from pesticide exposure.

Kappa statistics for maternal occupations (0.76 to 0.90) and industries (0.59 to 0.94) were higher than those for paternal occupations (0.48 to 0.92) and industries (0.47 to 0.89).

Among women 40 years or older, maternal residence within a mile of industries with solvent emissions was associated with chromosomal anomalies in births (OR 4.8, 95% CI 1.2 42.8).

Is there a "maternal wall" that keeps some women in the industry from advancement?