Multivariate logistic regression models were used to determine associations of IFG and/or IGT with cardiometabolic risk (using the NGT group as reference group).
Sample text:```rural, we calculated the relative prevalence of a missing value by other demographic and fitness variables using logistic regression [49].```
Sample intent: background
Sample text:```LG/J and SM/J mice have been shown to differ in their response to a high-fat diet for traits involved in various metabolic syndrome domains [23,24].```
Sample intent: method



Sample text:```We used longitudinal sequence samples for 15 patients from two independent studies [13,22].```
Sample intent: background



Sample text:```In men, two studies [36, 43], indicated that obesity was associated with lower CRC screening rates.```
Sample intent: result



Sample text:```The stronger association observed between BMI and TBF than between BMI and PBF is consistent with several previous investigations (7, 21, 32).```
Sample intent: result



Sample text:```Results from a RCT assessing in-person post-test genomic counseling on 199 OSU-CMPC participants were published previously [18].```
Sample intent: method
Sample text:```The stronger association observed between BMI and TBF than between BMI and PBF is consistent with several previous investigations (7, 21, 32).```
Sample intent: result



Sample text:```The sgl gene has been shown to be expressed differentially during development (Binari et al. 1997; Haerry et al. 1997).```
Sample intent: method



Sample text:```Results from a RCT assessing in-person post-test genomic counseling on 199 OSU-CMPC participants were published previously [18].```
Sample intent: method



Sample text:```Participants were undergraduates who had been followed during their college career as part of a longitudinal cohort study (see Bonanno et al., 2004; Papa & Bonanno, 2008).```
Sample intent: background



Sample text:```Similarly, a synergistic effect of sequence differences at the resistin locus on obesity and risk of type II diabetes has been observed (Ma et al, 2002).```
Sample intent: method



Sample text:```In this study, we generalized previous results regarding the quasi-Gaussian shape and the scalar property using the SBF model [13,21,52].```
Sample intent: result



Sample text:```rural, we calculated the relative prevalence of a missing value by other demographic and fitness variables using logistic regression [49].```
Sample intent: background



Sample text:```Estimation of overall mortality ratio (relative risk) was carried out using the random e ects model according to DerSimonian and Laird [9].```
Sample intent: background



Sample text:```In men, two studies [36, 43], indicated that obesity was associated with lower CRC screening rates.```
Sample intent: result



Sample text:```The GITT model performs better than an empirical lag-time model [17], however, its predicted profiles tend to underestimate Cmax, which, if consistent, may suggest confounding systematic bias or invalid assumptions.```
Sample intent: background