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Linear regression models fitted with interaction between the specific adiposity measure and gender.
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Contrary to our original hypothesis, we did not observe an association between any specific adiposity measure and activity of the RAAS system in overall, sex-stratified or multivariable-adjusted analyses.
Additional adjustment for specific adiposity measures (BMI or VAT) did not significantly affect the results.
Continuous measures were used in testing for interactions between the adiposity measures and 25(OH D on the outcomes.
The specific aims of the study were to examine the relationship between (a) weight status and physical appearance satisfaction using both pictorial and verbal body rating measures, and (b) adiposity and self-concept using a validated psychometric scale.
Taking advantage of the longitudinal design of the cohort, we examined the association between adiposity trajectory and prediabetes indicators, using the adiposity trajectory categories described above.
Furthermore, despite the evidence of ethnic-specific differences in body fat distribution [ 12] little is known regarding ethnic-specific differences in the relationship between adiposity and adiponectin.
We further examined the associations between adiposity and the alternative definitions of healthy survival.
The association between adiposity in early adulthood and subsequent development of specific malignancies is unclear.
To explore whether ethnicity modifies the relationship between adiposity and adiponectin, we investigated the interactions of ethnicity with each of the adiposity measures.
The magnitude of the associations between maternal-offspring adiposity and paternal-offspring adiposity were similar and we found no evidence for gender assortment, suggesting that genetic and/or shared familial environment explain this family clustering.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com