Sentence examples for the height education from inspiring English sources

Of particular interest for this study are the height, education, income, number of marriages, age at first marriage, number of children ever born, number of children surviving to reproductive age (18 years), age at birth first child and proportion of adult offspring (> 18 years) who are married (both sons and daughters).

We investigated the associations between height, education, income and the number of surviving children in a large longitudinal sample of men (n = 3,578; Wisconsin Longitudinal Study), who likely had ended their reproductive careers (e.g. > 64 years).

To examine the associations between height, education and income, we used Pearson correlations.

The ethnic differences for women, however, were robust, even after adjusting for three SEP factors through the life course (body height, education and income-generating work).

The covariate variables included in the logistic regression models were maternal age, height, education, Han-ethnicity, residence, marital status, maternity insurance, systolic blood pressure, gestational age at GCT, gestational age at birth, past disease history and infant's sex.

He sends crime scene information, photos and the medical examiner's report, and a few weeks later receives what he calls a "gift" -- a profile of the killer that lists his age, height, education, even his physical condition.

After adjusting for sex of the infant, mother's age, race, weight, height, education, income, marital status, and smoking, there was still a statistically significant 6% increased risk of giving birth to a male infant of low birth weight.

There were no significant two-way or three-way interactions between height, education and income on the number of children ever born or surviving to 18 years.> -wrap-foot> Total dev and total R are respectively the total deviance and total explained adjusted variance from the full model.

The statistical analyses performed were multiple logistic regression analysis with adjustment for parental factors (parents' weight and height, education level, and income) and the child's characteristics (baseline BMI, physical activity, and television viewing).

After further adjustment for SEP from early and later life (body height, education and income-generating work), the ORs for diabetes were still significantly increased for all ethnic minority women and for men from Sri Lanka and Pakistan.

Our finding that the increased susceptibility for diabetes for men from Turkey and Vietnam compared with Norwegians disappeared after adjustment for one or more SEP factors (body height, education and income-generating work), indicates that the lower SEP in these ethnic groups partly explains their excess diabetes prevalence, in line with what is found in other studies from Europe [ 3].