Other potential confounders included in the multiple-adjusted model were: sex, age, smoking, physical activity during leisure time, total energy intake, and baseline body mass index (BMI).
Covariates included in the model were sex, gestational age at birth, birth weight, surfactant treatment, BPD diagnosis and durations of ventilator treatment, nCPAP treatment and supplemental O2.
The fixed effects included in the model were: sex, inbreeding coefficient, age in days at evaluation, birth date measured as days since 1st Jan 1990, and year of evaluation.
The fixed effects included in the model were: sex, age, season of birth (winter = January – March, spring = April – June, summer = July September ,, autumn = October – December) and year of evaluation.
Covariates considered for entry in the model were sex, age, body-mass index (BMI), type of diabetes, socioeconomic status, hour of blood draw, exposure to environmental tobacco smoke, physical activity, LDL, HDL, blood glucose level, glycated haemoglobin, blood leukocyte counts, use of statins, use of angiotensin-converting enzyme (angiotensin-converting enzymetiplACElet medinhibitors
The independent variables for the model were sex and age.
Not significantly associated with low eGFR in such modeling were sex, BMI, and co-treatment with an anticonvulsant, antipsychotic, or antidepressant drugs.
Additional self-reported predictors included in the regression models were sex, age, and race/ethnicity.
Additional covariates used in all models were sex, age, sex × age interaction, age, and sex × age interaction.
The covariates used in the final regression models were sex, DASS-21 total score and sleep quality.
Covariates thereby selected for the final regression models were sex, HOME score, mother's Raven score, and district.
