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ORs changed less than 10% when considering potential confounding factors individually or in multivariate models, indicating that the effects of confounding are limited.
Furthermore, there was no significant association with percentage body fat in the bivariate and multivariate models, indicating that a high-fat diet - rather than the degree of dietary obesity - mediates their antidepressive-like behaviors.
No interaction for exposure with ethnicity and educational level was observed in the multivariate models, indicating that ethnicity and education do not moderate or explain the observed associations between occupational exposure and fetal growth parameters.
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Multivariate models indicated that friends' dieting behavior was significantly associated with UWCBs for average weight girls (OR = 1.57, CI = 1.40-1.77) and moderately overweight girls (OR = 1.47, CI = 1.19-1.82).
Finally, multivariate models indicated the BMIz-score as a strong and independent determinant of leptin levels (Table 6), and, along with HOMA-IR and triglycerides, it accounted for ∼70% of its variance.
The multivariate models indicate that the univariate relationships between some of the independent variables and PBDE exposure were confounded.
Multivariate models indicated that gestational age, race, and gender were significantly associated with surfactant use (Table 1).
As expected, multivariate models indicate that body burden of PCBs (CB-153 and CB-180) decreased with increased maternal parity.
Further, results from our multivariate models indicated that genetic influences on leisure time activities were largely specific to that activity.
RESULTS After correction for multiple analyses, multivariate models indicated that perceived need for antihyperglycemic medication was associated with being younger, being prescribed insulin, and being prescribed multiple medications.
The final multivariate models indicated that sociodemographic, psychological, and clinical factors were reasonable predictors of new‐onset WP in older adults.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com