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The main determinants we consider are the following: PRIMARY: Percentage of provincial population with at least primary school (5 years of) education.
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As determinants, we considered a set of individual-level variables as follows: age, with four categories: ≤ 20, 20 29, 30 39, > 39 (reference category: age 20 29); nationality of mother, with three categories: Italian (ITA), European Union (EU-27), and rest of the world (Extra EU-27) (reference category: Italy); marital status, with two categories: married, unmarried (reference category: married).
Now we consider the determinant identity [14], frac{h(boldsymbol{z})}{h(boldsymbol{u})} = det_{1 leq j,k leq N} left[ Phi_{xi}^{u_{k}} z_{j}) right], (4.8).
In our analyses, we consider these socioeconomic determinants on total and gender-based suicide rates to prevent the possibility of confounding results [19].
In Case 1 we consider the Fredholm determinant (D k)=mathop {mathrm {det}}nolimits (I+q(H_0-k^2)^{-1}), kin {mathbb C}_+).
Furthermore, we consider that higher-level determinants may have emergent properties above and beyond the aggregate of their constituent parts.
By stratifying randomisation by pre-intervention outcome data (a strong determinant of outcome), we considered intervention and control groups to be comparable.
In order to assess the determinants of antimicrobial self medication, we considered data from only those studies that conducted multivariable regression.
Although we did not have access to serum levels of vitamin D, we considered numerous determinants of vitamin D status in our models, including leisure time activity, outdoor occupation, tanning beds and vacationing in sun-exposed countries.
We considered several determinants with regard to the follow-up period as potential confounders (consultation behavior, weight loss, change in level of physical activity and prescription of cardiovascular medication for a specific MetS component).
The forward regression procedure was used to obtain determinants of serum OPG, and we considered as potential covariates age, sex, body mass index, waist circumference, fasting plasma glucose, 2 h OGTT plasma glucose, log10 fasting serum insulin, log10 HOMA-IR index, serum concentrations of triacylglycerols, total cholesterol, HDL- and LDL-cholesterol, systolic and diastolic blood pressure.
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