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First, the distributions of sex, age, size of residential area, and level of education for the study population reflected those observed in the general population, indicating that our findings may be applicable to the general population.
However, our sample was age-representative, as the mean age of the study population reflected that of the whole foreign adult population of Genoa (37.6 years for males and 39.4 years for females) [ 60].
The response rate was good in both study areas (74% and 84%), giving us assurance that the study population reflected the school-age child populations of these areas rather well.
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Similarly, because this study was conducted in a large, research institution, the study population reflects a unique organizational setting.
The demographic characteristics of the study population reflect the population of northern New England (Table 1)[ 30].
Both the argument of confounding and of the representation of the study population reflect on the possibility that the effects could be more present in the whole population of general practices.
The study population reflects a typical profile of patients with type 2 diabetes (e.g. broad age range, mostly overweight/obese, wide range of racial/ethnic groups); thus, study results should be generalisable to a broad type 2 diabetes population.
Moreover, while the study population reflects in excess of 83% of all pediatric HIV patients reported in Greece, its limited size may inhibit the generalization of the study findings to larger cohorts, particularly of older age.
The study population reflects a predominantly Caucasian cohort based in the UK, and so generalisations to cohorts of other ethnicities or in regions where the background rates of infection differ may not be appropriate.
In order that the study population reflects routine clinical practice, 50– 52 comorbid diagnoses will be permitted if they are clearly secondary (ie, SAD symptoms are both the most severe and the most impairing).
However, since the total resident population data were taken from initial admission documents and the study population reflects a group of these residents, months to years post-admission, this discrepancy may be explained at least in part by the deterioration in health status associated with advancing age in long term care residents [ 39, 40].
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