K Fan1, D Wei1, X Liu1, Y He1, H Tian1, R Tu1, P Liu1, L Nie2, L Zhang1, D Qiao1, X Liu1, J Hou1, L Li1, C Wang1, W Huo2, G Zhang3, Z Mao4. 1. Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China. 2. Department of Occupational and Environmental Health Sciences, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China. 3. Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China. zgy@zzu.edu.cn. 4. Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China. maozhr@gmail.com.
Abstract
AIMS: To evaluate the associations of morning serum cortisol levels with obesity defined by different indices in Chinese rural populations. MATERIALS AND METHODS: A cross-sectional study was performed including 6198 participants (2566 males and 3632 females). Serum cortisol was collected in morning and quantified by liquid chromatography-tandem mass spectrometry. Obesity was defined by body mass index (BMI), body fat percentage (BFP), waist-to-height ratio (WHtR), waist circumference (WC), visceral fat index (VFI) and waist-to-hip ratio (WHR). Both multivariable liner regression, logistic regression and restrictive cubic splines models were used to estimate the gender-specific relationships between cortisol levels and obesity defined by different indices, respectively. RESULTS: After adjusting for potential confounders, serum cortisol was negatively associated with different obesity measures, except obese females defined by BFP (for instance, overall obesity defined by BMI, Quartile 4 vs. Quartile 1, odds ratio (OR) = 0.25, 95% confidence interval (CI):0.15, 0.41 in males, and OR = 0.58, 95% CI: 0.42,0.80 in females, central obesity defined by WC, OR = 0.52, 95% CI:0.39,0.69 in males and OR = 0.63, 95% CI:0.51,0.77 in females). Similarly, restrictive cubic splines showed the nonlinear relationship between high levels of cortisol and different obesity indices. Furthermore, ROC curve analysis indicated that cortisol could improve the discrimination of model with common biomarkers. CONCLUSION: Morning serum cortisol were negatively related to obesity defined by different indices in Chinese rural populations. In addition, cortisol could be as a biomarker for prediction of obesity in males.
AIMS: To evaluate the associations of morning serum cortisol levels with obesity defined by different indices in Chinese rural populations. MATERIALS AND METHODS: A cross-sectional study was performed including 6198 participants (2566 males and 3632 females). Serum cortisol was collected in morning and quantified by liquid chromatography-tandem mass spectrometry. Obesity was defined by body mass index (BMI), body fat percentage (BFP), waist-to-height ratio (WHtR), waist circumference (WC), visceral fat index (VFI) and waist-to-hip ratio (WHR). Both multivariable liner regression, logistic regression and restrictive cubic splines models were used to estimate the gender-specific relationships between cortisol levels and obesity defined by different indices, respectively. RESULTS: After adjusting for potential confounders, serum cortisol was negatively associated with different obesity measures, except obese females defined by BFP (for instance, overall obesity defined by BMI, Quartile 4 vs. Quartile 1, odds ratio (OR) = 0.25, 95% confidence interval (CI):0.15, 0.41 in males, and OR = 0.58, 95% CI: 0.42,0.80 in females, central obesity defined by WC, OR = 0.52, 95% CI:0.39,0.69 in males and OR = 0.63, 95% CI:0.51,0.77 in females). Similarly, restrictive cubic splines showed the nonlinear relationship between high levels of cortisol and different obesity indices. Furthermore, ROC curve analysis indicated that cortisol could improve the discrimination of model with common biomarkers. CONCLUSION: Morning serum cortisol were negatively related to obesity defined by different indices in Chinese rural populations. In addition, cortisol could be as a biomarker for prediction of obesity in males.
Authors: Angela C Incollingo Rodriguez; Elissa S Epel; Megan L White; Erin C Standen; Jonathan R Seckl; A Janet Tomiyama Journal: Psychoneuroendocrinology Date: 2015-08-21 Impact factor: 4.905
Authors: Mattias Johansson; Robert Carreras-Torres; Ghislaine Scelo; Mark P Purdue; Daniela Mariosa; David C Muller; Nicolas J Timpson; Philip C Haycock; Kevin M Brown; Zhaoming Wang; Yuanqing Ye; Jonathan N Hofmann; Matthieu Foll; Valerie Gaborieau; Mitchell J Machiela; Leandro M Colli; Peng Li; Jean-Guillaume Garnier; Helene Blanche; Anne Boland; Laurie Burdette; Egor Prokhortchouk; Konstantin G Skryabin; Meredith Yeager; Sanja Radojevic-Skodric; Simona Ognjanovic; Lenka Foretova; Ivana Holcatova; Vladimir Janout; Dana Mates; Anush Mukeriya; Stefan Rascu; David Zaridze; Vladimir Bencko; Cezary Cybulski; Eleonora Fabianova; Viorel Jinga; Jolanta Lissowska; Jan Lubinski; Marie Navratilova; Peter Rudnai; Simone Benhamou; Geraldine Cancel-Tassin; Olivier Cussenot; Elisabete Weiderpass; Börje Ljungberg; Raviprakash Tumkur Sitaram; Christel Häggström; Fiona Bruinsma; Susan J Jordan; Gianluca Severi; Ingrid Winship; Kristian Hveem; Lars J Vatten; Tony Fletcher; Susanna C Larsson; Alicja Wolk; Rosamonde E Banks; Peter J Selby; Douglas F Easton; Gabriella Andreotti; Laura E Beane Freeman; Stella Koutros; Satu Männistö; Stephanie Weinstein; Peter E Clark; Todd L Edwards; Loren Lipworth; Susan M Gapstur; Victoria L Stevens; Hallie Carol; Matthew L Freedman; Mark M Pomerantz; Eunyoung Cho; Kathryn M Wilson; J Michael Gaziano; Howard D Sesso; Neal D Freedman; Alexander S Parker; Jeanette E Eckel-Passow; Wen-Yi Huang; Richard J Kahnoski; Brian R Lane; Sabrina L Noyes; David Petillo; Bin Tean Teh; Ulrike Peters; Emily White; Garnet L Anderson; Lisa Johnson; Juhua Luo; Julie Buring; I-Min Lee; Wong-Ho Chow; Lee E Moore; Timothy Eisen; Marc Henrion; James Larkin; Poulami Barman; Bradley C Leibovich; Toni K Choueiri; G Mark Lathrop; Jean-Francois Deleuze; Marc Gunter; James D McKay; Xifeng Wu; Richard S Houlston; Stephen J Chanock; Caroline Relton; J Brent Richards; Richard M Martin; George Davey Smith; Paul Brennan Journal: PLoS Med Date: 2019-01-03 Impact factor: 11.069