CONTEXT: Prior research has identified associations between social-environmental factors and metabolic syndrome (MetS) components. The physiological mechanisms underlying these associations are not fully understood, but alterations in activity of the hypothalamic-pituitary-adrenal axis, a stress-responsive biological system, have been hypothesized to play a role. OBJECTIVE: The aim of the study was to determine whether MetS diagnosis and specific clusters of MetS components (waist circumference, high-density lipoproteins, glucose, and blood pressure) are associated with cortisol levels. DESIGN AND SETTING: We conducted cross-sectional analyses of data from the Multi-Ethnic Study of Atherosclerosis (MESA) study in the general community. PATIENTS OR OTHER PARTICIPANTS: We studied a population-based sample of 726 adults (ages 48 to 89 yr) who do not have clinical diabetes. INTERVENTION(S): There were no interventions. MAIN OUTCOME MEASURE(S): Cortisol awakening response, cortisol decline across the waking day, and total cortisol output were analyzed (using 18 timed measures of salivary cortisol over 3 d). RESULTS: Overall, we found little evidence that the presence of MetS or its components is related to cortisol output or patterns. Contrary to expectation, the presence of MetS was associated with lower rather than higher area under the curve, and no consistent pattern was observed when MetS components or subsets of components were examined in relation to cortisol. CONCLUSIONS: Our findings do not support the hypothesis that differences in level or diurnal pattern of salivary cortisol output are associated with MetS among persons without clinical diabetes.
CONTEXT: Prior research has identified associations between social-environmental factors and metabolic syndrome (MetS) components. The physiological mechanisms underlying these associations are not fully understood, but alterations in activity of the hypothalamic-pituitary-adrenal axis, a stress-responsive biological system, have been hypothesized to play a role. OBJECTIVE: The aim of the study was to determine whether MetS diagnosis and specific clusters of MetS components (waist circumference, high-density lipoproteins, glucose, and blood pressure) are associated with cortisol levels. DESIGN AND SETTING: We conducted cross-sectional analyses of data from the Multi-Ethnic Study of Atherosclerosis (MESA) study in the general community. PATIENTS OR OTHER PARTICIPANTS: We studied a population-based sample of 726 adults (ages 48 to 89 yr) who do not have clinical diabetes. INTERVENTION(S): There were no interventions. MAIN OUTCOME MEASURE(S): Cortisol awakening response, cortisol decline across the waking day, and total cortisol output were analyzed (using 18 timed measures of salivary cortisol over 3 d). RESULTS: Overall, we found little evidence that the presence of MetS or its components is related to cortisol output or patterns. Contrary to expectation, the presence of MetS was associated with lower rather than higher area under the curve, and no consistent pattern was observed when MetS components or subsets of components were examined in relation to cortisol. CONCLUSIONS: Our findings do not support the hypothesis that differences in level or diurnal pattern of salivary cortisol output are associated with MetS among persons without clinical diabetes.
Authors: Nalini Ranjit; Ana V Diez-Roux; Brisa Sanchez; Teresa Seeman; Steven Shea; Sandi Shrager; Karol Watson Journal: Psychosom Med Date: 2009-07-10 Impact factor: 4.312
Authors: Sherita Hill Golden; Aaron R Folsom; Josef Coresh; A Richey Sharrett; Moyses Szklo; Frederick Brancati Journal: Diabetes Date: 2002-10 Impact factor: 9.461
Authors: Diane E Bild; David A Bluemke; Gregory L Burke; Robert Detrano; Ana V Diez Roux; Aaron R Folsom; Philip Greenland; David R Jacob; Richard Kronmal; Kiang Liu; Jennifer Clark Nelson; Daniel O'Leary; Mohammed F Saad; Steven Shea; Moyses Szklo; Russell P Tracy Journal: Am J Epidemiol Date: 2002-11-01 Impact factor: 4.897
Authors: E J Brunner; H Hemingway; B R Walker; M Page; P Clarke; M Juneja; M J Shipley; M Kumari; R Andrew; J R Seckl; A Papadopoulos; S Checkley; A Rumley; G D O Lowe; S A Stansfeld; M G Marmot Journal: Circulation Date: 2002-11-19 Impact factor: 29.690
Authors: Joshua J Joseph; Xu Wang; Ana V Diez Roux; Brisa N Sanchez; Teresa E Seeman; Belinda L Needham; Sherita Hill Golden Journal: Metabolism Date: 2016-12-08 Impact factor: 8.694
Authors: Sarah M Corey; Elissa Epel; Michael Schembri; Sarah B Pawlowsky; Roger J Cole; Maria Rosario G Araneta; Elizabeth Barrett-Connor; Alka M Kanaya Journal: Psychoneuroendocrinology Date: 2014-07-21 Impact factor: 4.905
Authors: Daniel Ferguson; Irina Hutson; Eric Tycksen; Terri A Pietka; Kevin Bauerle; Charles A Harris Journal: Endocrinology Date: 2020-02-01 Impact factor: 4.736
Authors: Michelle I Cardel; Yuan-I Min; Mario Sims; Solomon K Musani; Akilah Dulin-Keita; Mark D DeBoer; Matthew J Gurka Journal: Psychoneuroendocrinology Date: 2018-02-20 Impact factor: 4.905
Authors: H Matthew Lehrer; Mary A Steinhardt; Susan K Dubois; Mark L Laudenslager Journal: Psychoneuroendocrinology Date: 2019-11-10 Impact factor: 4.905
Authors: Penelope Baughman; Michael E Andrew; Cecil M Burchfiel; Desta Fekedulegn; Tara A Hartley; John M Violanti; Diane B Miller Journal: Am J Hum Biol Date: 2015-06-19 Impact factor: 1.937