used a CT scan for this purpose. Statistical analysis In order to identify factors that could predict the presence of PA, we performed multivariable binary logistic regression analysis with a diagnosis of PA as dependent variable. All candidate
Marieke S Velema, Evie J M Linssen, Ad R M M Hermus, Hans J M M Groenewoud, Gert-Jan van der Wilt, Antonius E van Herwaarden, Jacques W M Lenders, Henri J L M Timmers and Jaap Deinum
June Young Choi, Jin Wook Yi, Jun Hyup Lee, Ra-Yeong Song, Hyeongwon Yu, Hyungju Kwon, Young Jun Chai, Su-jin Kim and Kyu Eun Lee
univariable and multivariable logistic regression analyses to assess the relationship between VDR expression and clinicopathologic variables. Backward selection method was used in both linear and logistic regression for multiple model fitting. Kaplan
Akinori Sairaku, Yukiko Nakano, Yuko Uchimura, Takehito Tokuyama, Hiroshi Kawazoe, Yoshikazu Watanabe, Hiroya Matsumura and Yasuki Kihara
were adjusted for potential confounders by using logistic regression models. Factors with an independent association with a mean LA pressure of >18 mmHg was also determined using multiple logistic analyses. All statistical analyses were performed using
Mabel E Bohórquez, Ana P Estrada, Jacob Stultz, Ruta Sahasrabudhe, John Williamson, Paul Lott, Carlos S Duque, Jorge Donado, Gilbert Mateus, Fernando Bolaños, Alejandro Vélez, Magdalena Echeverry and Luis G Carvajal-Carmona
E (rs10787491, rs932650) and two downstream of G534E (rs10885478, rs1885434), were genotyped in five G534E heterozygous individuals for haplotype analysis. Statistical analysis All genotype frequencies and association testing using logistic
A V Dreval, I V Trigolosova, I V Misnikova, Y A Kovalyova, R S Tishenina, I A Barsukov, A V Vinogradova and B H R Wolffenbuttel
-test or Mann–Whitney U test was used. The differences were considered statistically significant at P <0.05. Logistic regression analysis using a multinomial logit model was used to identify risk factors for diabetes or ECMDs. The independent
Sanna Mustaniemi, Marja Vääräsmäki, Johan G Eriksson, Mika Gissler, Hannele Laivuori, Hilkka Ijäs, Aini Bloigu, Eero Kajantie and Laure Morin-Papunen
significance was set at a two-sided P value of <0.05. Linear regression (mean differences with 95% CI) was used for continuous variables, and logistic regression (odds ratios (ORs) with 95% CI) was used for categorical variables. Multiple regression models
Xiujuan Su, Yan Zhao, Zhijuan Cao, Yingying Yang, Tony Duan and Jing Hua
logistic regression models to evaluate the odds ratios (ORs) of women with an IMH diagnosis, compared with euthyroid women. According to the previous studies, we adjusted for the following confounders in multiple-regression models: BMI (<18.5, 18
Karim Gariani, Pedro Marques-Vidal, Gérard Waeber, Peter Vollenweider and François Jornayvaz
Background: Excessive glucocorticoid secretion has been associated with type 2 diabetes mellitus (T2DM) and other features of the metabolic syndrome. We aimed to evaluate if basal salivary cortisol may predict occurrence of new insulin resistance (IR) or T2DM.
Method: This was a prospective, population-based study derived from the CoLaus (Cohorte lausannoise) study including 1525 participants (aged 57.7 ± 10.3 y; 725 women). A total of 1149 individuals were free from diabetes at baseline. Fasting plasma glucose and insulin were measured after a follow-up of 5.3 y. Basal salivary cortisol was measured at baseline. The association between basal salivary cortisol level and incidence of IR or T2DM was analyzed by logistic regression, and the results were expressed for each independent variables as ORs and 95% CI.
Results: After a median follow-up of 5.3 y, a total of 376 subjects (24.7%) developed IR and 32 subjects (2.1%) developed T2DM. Basal salivary cortisol divided in quartiles was not associated with incidence of IR or T2DM. Multivariable analysis for age, gender, body mass index, physical activity and smoking status showed no association between basal and incidence of IR (quartile 2 (Q2) OR: 1.01 (0.70-1.45), quartile 3 (Q3) OR: 1.01 (0.70-1.45), quartile 4 (Q4) OR: 1.05 (0.73-1.52), p=0.805) or T2DM (Q2 OR: 1.00 (0.37 – 2.73), Q3 OR: 0.96 (0.35 – 2.61), Q4 OR: 1.08 (0.40 - 2.95)).
Conclusion: In the CoLaus study of healthy adults, basal salivary cortisol was not associated with incident IR or T2DM.
Aline Stangherlin Martins, Ann Kristine Jansen, Luiz Oswaldo Carneiro Rodrigues, Camila Maria Matos, Marcio Leandro Ribeiro Souza, Juliana Ferreira de Souza, Maria de Fátima Haueisen Sander Diniz, Sandhi Maria Barreto, Leonardo Mauricio Diniz, Nilton Alves de Rezende and Vincent Michael Riccardi
proportions of normal and altered FBG levels according to BMI and height. Stepwise multivariate logistic regression was used to evaluate the associations between independent variables and high FBG level (≥100 mg/dl). Covariates with a P value of ≤0.25 in
Weiwei He, Bin Wang, Kaida Mu, Jing Zhang, Yanping Yang, Wei Yao, Sheli Li and Jin-an Zhang
.003) ( Table 4 ) and (4) no significant association between rs153109 of IL27 gene and HT was observed under all comparison models ( Table 5 , P > 0.05). Multivariate logistic regression analyses indicate that rs153109 of IL27 gene is significantly