Multivariate models also adjusted for the maximum cholinesterase level and personal characteristics.
Multivariate models also showed that as the number of types of intimate partner abuse experienced increased, so did the negative effects on postpartum mental health.
Indices of obesity were included in multivariate models also, to better evaluate the independent effects of the exposure on the outcome: these included body mass index (<18.5, 18.5 24.9, 25.0 29.9, 30.0 34.9, 35.0 39.9, ⩾40).
Multivariate models also provided ORs adjusted for age, education, employment, camp of residence, number of living children, and participation in IPC and mass education campaigns, for each survey phase separately.
We also used multivariate models (also with robust standard errors) to estimate the joint influences of staffing and work environments after controlling for differences in nurses' characteristics across hospitals, differences in structural characteristics of hospitals, and unmeasured differences in outcomes across countries.
Multivariate models also adjusted simultaneously for smoking status, body mass index (BMI) at age 18 years, weight change between age 18 years and current cycle, height, physical activity, age at menarche, family history of breast cancer, history of benign breast disease, parity and age at first birth, post-menopausal hormone use, and intakes of calories, total folate, and alcohol.
The multivariate model also supported SCP theory; as the presence of SCP factors increased, so did the likelihood of an unsuccessful attack and the full model accounted for 41.5% of the variance in the outcome variable.
The multivariate model also revealed two significant interactions, for marital status and drug use disorder.
We performed the multivariate model also using haemoglobin as a continuous variable.
This finding was sustained in a multivariate model (also including the demographic variables previously mentioned) (Table 2).
These covariates proved relevant in the multivariate model also for analyzing the impact of change of PM10 on respiratory symptoms.
