For all regression models, attainment of individual targets, the subset of three laboratory targets, and all five targets were examined.
For all models, attainment of the end of the time period of interest without an event was treated as an administrative right censoring event.
Variables entered in multivariate logistic regression model: educational attainment, age, sex, marital status, cause of death; no interaction effects.
Related to this issue, Caporale et al. (2011) have shown, using a simulation model, that attainment of target HbA1c values by the provision of appropriate treatment to people with T2DM could avoid future hospitalisation events [ 26] (Table 5).
Both non-linear models predict attainment of self-similar PSDs, albeit slightly different, under cases of mild non-linear effects.
In adjusted models, the attainment of all individual targets was associated with a decreased risk of mortality (Table 2).
In the multivariate logistic regression model, non-attainment of LDL-C levels was predicted by hypertension (odds ratio, OR 1.4), current smoking (OR 1.3), sedentary lifestyle (OR 1.3), and female gender (OR 1.3).
Due to smaller group sizes in models combining migration status and ethnicity, the following potential confounders were re-coded into dichotomous variables in the fully adjusted models: educational attainment (1 = advanced level or above), employment status (1 = working) and household income (1 = £31,395 and above).
The highest attenuation occurred within the 'prior educational attainment' model and the 'child behaviour' model.
For example, Lin and Bian (1991) derived a status attainment model for urban Chinese by paying close attention to the significance of work sector status as a destination variable and concluded that "social mobility becomes a matter not of getting a better job or making more money but rather of getting into the right work units" (p. 659).
