To elucidate the association between breastfeeding and the child’s IQ, a multiple linear regression test was performed using the child’s IQ as the outcome variable and a history of breastfeeding as the principal predictor, after adjusting for gender, age, residential area, and yearly family income. Then, this model was adjusted for maternal IQ. Finally, the adjustment for the diagnosis of ADHD in addition to maternal IQ and other covariates was conducted. Categorical variable was incorporated in the linear regression analyses through dummy coding (e.g., breastfeeding = 0, non-breastfeeding = 1; absence of ADHD = 0, presence of ADHD = 1).
All statistical analyses were performed using SPSS (version 21.0; SPSS Inc., Chicago, IL), and statistical significance was defined at the alpha level
To elucidate the association between breastfeeding and the child’s IQ, a multiple linear regression test was performed using the child’s IQ as the outcome variable and a history of breastfeeding as the principal predictor, after adjusting for gender, age, residential area, and yearly family income. Then, this model was adjusted for maternal IQ. Finally, the adjustment for the diagnosis of ADHD in addition to maternal IQ and other covariates was conducted. Categorical variable was incorporated in the linear regression analyses through dummy coding (e.g., breastfeeding = 0, non-breastfeeding = 1; absence of ADHD = 0, presence of ADHD = 1).
All statistical analyses were performed using SPSS (version 21.0; SPSS Inc., Chicago, IL), and statistical significance was defined at the alpha level <0.05.
การแปล กรุณารอสักครู่..
