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b Multivariate adjusted regression coefficients (adjustment factors listed below).
Multivariate adjusted regression models revealed an inverse association between maternal Hcy concentration and male birth weight (β = −210.40, standard error (SE) = 102.08, p = 0.04).
When comparisons with no depression were made, while controlling for demographics and geography, the results from multivariate adjusted regression analyses showed that gender and not living with both biological parents were associated with current severe depression, but not with Depression NOS.
Both univariate (unadjusted) and multivariate (adjusted) regression analyses are presented.
In multivariate adjusted regression models, no significant association was observed for any of the investigated food groups, including vegetables and fruit.
However, a multivariate adjusted regression analysis revealed significant differences in volunteer burden depending on the number of people each volunteer served on average per week, as well as the volunteer's marital status and their perceptions about personal health.
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Multivariate adjusted logistic regression was done using STATA.
Multivariate adjusted linear regression analyses were performed to examine factors related to psychological disorder and QoL.
The unadjusted and multivariate adjusted logistic regression analysis was used to investigate the associations between abnormal abuminuria and serum fetuin-A concentrations.
Univariate and multivariate adjusted logistic regression analyses were performed to determine whether NT-ProBNP, BIVA, or both was an independent risk factor for mortality.
Table 3 shows the relation between combined health behaviour score and risk of stroke in different multivariate adjusted Cox regression models.
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