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At the next stage I additionally adjusted for SEP (using the three separate measures of SEP) and employment status.
Model 1: adjusted for age and gender Model 2: model I additionally adjusted for current smoking, lipid lowering medication, blood pressure-lowering medication Model 3: model II additionally adjusted for history of coronary artery disease, cerebrovascular disease, abdominal aortic aneurysm and peripheral arterial disease.
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aModel I was additionally adjusted for depression; bModel II was additionally adjusted for anxiety; cModel III was additionally adjusted for both depression and anxiety.
In a third analysis (model 3), dietary confounders were additionally adjusted for, i.e. daily intake of total energy (kJ), alcohol (g), calcium (g), and saturated fat (g).
The second "Adjusted" model additionally adjusted for BMI.
However, we next additionally adjusted "core" and "fully-adjusted" models for percent body fat.
aAll models additionally adjusted for hs-TnI.
Second, models were additionally adjusted for all covariates described above (fully adjusted models).
d OR additionally adjusted for blue AND white-collar job characteristics, i.e. for physical AND psychosocial work factors.
*Odds ratios additionally adjusted for antepartum haemorrhage in 2006 cohort (OR 0.62, 95%CI 0.43 to 0.88).
§Odds ratios additionally adjusted for antepartum haemorrhage in 1995 cohort only (OR 2.74, 95%CI 1.28 to 5.88).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com