These registers provide information on the name, age, and sex of the child, village where the child lives, classification of the condition of the child, treatment given, and whether the child was referred.
Table 2 presents the distribution of the baseline characteristics of the population, both overall and by living environment classification, based on the 1-km scale.
We used analysis of variance or chi-square tests of association to determine differences in baseline characteristics of the population by living environment classification.
The living environment classification method using remotely sensed data has the potential to facilitate additional research linking environmental variables to public health concerns.
By revealing an "urban heat island effect" as illustrated in Figure 5, these results provide a first-order validation of the land use based living environment classification.
This indicates that it is likely that observed differences in blood pressure by living environment classification are attributable to the distribution of race and other cardiovascular risk factors across the classes.
Due to the immense diversity of microbial morphologies distributed in various living environments, classification strategies for the microorganisms based on wet-lab techniques may be costly, time-consuming and thus inefficient when compared with strategies based on computation.
The relationship between the presence of HTN and living environment classification was modeled using logistic regression, and modeling progressed in the same fashion as for both SBP and DBP (univariate, age adjusted, and multivariable adjusted).
Standard of living measurement involved classification of children into quintiles based on the household Wealth Index.
The following data was collected of all patients; age, gender, having a partner, history of dementia, RD-score, pre-fracture living situation, ASA classification [ 10], psychotropic drug use, type of fracture, treatment and anaesthesia, in-hospital complications, discharge location, in hospital mortality and length of stay (LOS).
Four thousand families were selected at random from all the households officially registered in 42 German municipalities, preselected on the basis of region, population figures and a cost-of-living classification.
