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Landscape composition and configuration metrics, together with variables assessing the physical characteristics of the study area, were used.
The inclusion of ethnicity is aimed at accounting for cumulative deprivation experienced by indigenous groups in many dimensions, which might affect cognition and go beyond education and health.5 In addition, we include haemoglobin and arm span measurements as variables assessing short- and long-term nutritional status.
Principal component analysis was employed to extract the main factors out of eight variables assessing children's dietary beliefs and behaviours (N = 991); those eight factors were then regressed, on 16 dependent variables, describing different parental dietary beliefs and behaviours, adjusted for potential confounders.
Variables assessing stress from various sources were not significant at p <.05.
Variables assessing protein C change from baseline were subsequently included in stepwise logistic regression.
From a multivariable model [ 10] concluded that variables assessing cardiovascular function were good prognostic guides.
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Details of the seven variables assessed were as follows.
There were no differences between the groups in gender and other variables assessed.
The variables assessed were tooth agenesis, microdontia, dental malformations, and cleft types.
The variables assessed and the measurement scales used in the questionnaire are displayed in Table 4.
Mapped variables explained more variation than habitat variables assessed at survey sites.
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