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When simultaneous changes in maternal prepregnancy body mass index, gestational weight gain, height, cigarette smoking, and other clinical and sociodemographic factors were controlled by using multiple logistic regression, the temporal trends for term infants were no longer evident.
Study design: Cross-sectional survey data collected in 1991 on 33,768 school-children aged 6 to 14 years in the Czech Republic were analyzed by using multiple logistic regression analyses (main outcome body mass index [BMI] >90th percentile [overweight] and BMI >97th percentile [obesity]).
The association between physical activity and metabolic syndrome was assessed by using multiple logistic regression models.
The adjusted odds ratio (OR) and 95% confidence interval (CI) were estimated by using multiple logistic regression.
We performed risk factor analysis by using multiple logistic regression for cluster surveys, adjusting for clustering within farms.
Multiplicative interactions between the independent variables and the location variable were tested by using multiple logistic regression analyses.
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Interestingly, for specific conditions such as menstrual cramps, nausea, and vomit, the percentage of healthcare students self-medicating was significantly higher, as also observed by Sawalha [ 11] using multiple logistic regression.
The prevalence of CKD, adjusted for age, gender and hypertension status by glycemic status, was estimated using multiple logistic regression.
Performance of each comorbidity measure was assessed using multiple logistic regression by fitting base and full models to the data [ 32].
Factors with a p-value less than 0.20 were subsequently analyzed using multiple logistic regression analysis by forward stepwise method.
The associations between a GP's diagnosis or possible diagnosis of OA and the age and gender of the patient were assessed by odds ratios with 95% confidence intervals using multiple logistic regression.
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