| Study objective |
| 1 |
A specific, clearly stated hypothesis is
described. |
|
| Study population |
| 2 |
The main features of the population (e.g. age,
gender, industrial setting, place of recruitment) are described. |
| 3 |
Sampling is random and not selective (data
presented) (e.g. exclusion of participants with diabetes mellitus,
cardiovascular disease, or arterial hypertension). |
|
| Assessment of Allostatic Load Index |
| 4 |
At least one primary mediator and three secondary
outcomes are included in calculating the Allostatic Load Index (Fig. 1). |
| 5 |
The Allostatic Load Index is calculated using the
standardized method of risk quartiles 26). |
| 6 |
Allostatic Load Index components are directly
measured using standard techniques. |
|
| Analysis and data presentation |
| 7 |
Analyses are adjusted for potential sources of
confounding. |
| 8 |
Measures of associations are presented (OR including
95% confidence intervals for logistic regression, β for linear regression). |
| 9 |
Cut-off values are presented for each variable used
in calculating the Allostatic Load Index. |
| 10 |
The number of cases in the multivariate analysis is
at least 10 times the number of independent variables in the analysis. |
