These dimensions might include race, religion, national origin, level of education, inherited wealth, physical attractiveness, charm, or marketable talent.
Socio-demographic variables: "Age", "Origin", "Level of education", "Marital status", "Number of children", "Number of pregnancies".
Significant differences in average knowledge score were observed depending on the area of origin, level of education, housing category and family income.
After additional adjustment for marital status, region of origin, level of education, and neighborhood social status, these differences decreased to 0.07 μg/m for smoking and 0.10 μg/m for BMI, and 95% CIs overlapped (see Supplemental Material, Table S3).
After additional adjustment for marital status, region of origin, level of education, and neighborhood social status, these differences decreased to 0.46 μg/m both for smoking and for BMI, but remained statistically significant (see Supplemental Material, Table S3).
Sociodemographic variables included age at the time of attack, country of birth (Norwegian/non-Norwegian origin), level of education (none, primary, secondary, vocational or higher education/university degree), current employment ≥50% (yes/no), and absence from work during the past 3 months (yes/no).
To be representative for employees in the Netherlands, the response was weighted for gender, age, sector, ethnic origin, level of urbanization, geographical region and level of education.
The number of subjects who could be assessed varied from family to family, but was apparently unrelated to the dimension of the kindred, site of origin and level of education.
Additionally, we were able to adjust for individual factors correlated with both exposure and risk such as BMI, maternal origin and level of education, which might otherwise have acted as confounders, at least in the case of SGA.
When we compared the subcohort with the rest of the PAJH subjects (n = 4,156), subcohort subjects were older and had a more equal gender distribution, but they did not differ in terms of physical characteristics or demographic variables, including marital status, ethnic origin, highest level of education, and total household income.
Maternal obesity, maternal age more than 35 years, non-Nordic origin, and lower level of education were all prominent risk factors for GDM.
