Joshua Petimar1,2, Sheryl L Rifas-Shiman2, Marie-France Hivert2,3, Abby F Fleisch4,5, Henning Tiemeier6,7, Emily Oken2,8. 1. Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts. 2. Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts. 3. Diabetes Unit, Massachusetts General Hospital, Boston, Massachusetts. 4. Pediatric Endocrinology and Diabetes, Maine Medical Center, Portland, Maine. 5. Center for Outcomes Research and Evaluation, Maine Medical Center Research Institute, Portland, Maine. 6. Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts. 7. Department of Child and Adolescent Psychiatry, Erasmus Medical Center-Sophia Children's Hospital, Rotterdam, The Netherlands. 8. Department of Nutrition, Harvard, T.H. Chan School of Public Health, Boston, Massachusetts.
Abstract
OBJECTIVE: To examine associations of hair cortisol concentration (HCC) in mid-childhood and change in HCC from mid-childhood to early adolescence (ΔHCC) with early adolescent adiposity and cardiometabolic biomarker measures. METHODS: In Project Viva, a pre-birth cohort of mothers and children, we measured HCC in 599 white children in mid-childhood and in 426 of these participants in early adolescence. We used multivariable linear regression to examine associations of mid-childhood HCC and ΔHCC with BMI-for-age-and-sex z score, waist circumference, waist-height ratio, dual X-ray absorptiometry total and trunk fat mass, a metabolic risk z score, adiponectin, HOMA-IR, high-density lipoprotein, C-reactive protein, interleukin-6, leptin, and systolic blood pressure. RESULTS: Over a mean (SD) follow-up of 5.2 (0.8) years, we did not find associations of mid-childhood HCC with BMI-for-age-and-sex z score (β = 0.00 per 1-interquartile range of HCC, 95% confidence interval [CI], -0.08 to 0.07), waist circumference (β = -0.04 cm, 95% CI, -0.83 to 0.74), metabolic risk z score (β = 0.04, 95% CI, -0.03 to 0.11), or other cardiometabolic measures except for an increase in log-transformed HOMA-IR (β = 0.10, 95% CI, 0.04-0.17). ΔHCC was not associated with any outcome measures. CONCLUSIONS: We found that mid-childhood HCC was not associated with early adolescent adiposity or cardiometabolic biomarkers except for a slight increase in HOMA-IR.
OBJECTIVE: To examine associations of hair cortisol concentration (HCC) in mid-childhood and change in HCC from mid-childhood to early adolescence (ΔHCC) with early adolescent adiposity and cardiometabolic biomarker measures. METHODS: In Project Viva, a pre-birth cohort of mothers and children, we measured HCC in 599 white children in mid-childhood and in 426 of these participants in early adolescence. We used multivariable linear regression to examine associations of mid-childhood HCC and ΔHCC with BMI-for-age-and-sex z score, waist circumference, waist-height ratio, dual X-ray absorptiometry total and trunk fat mass, a metabolic risk z score, adiponectin, HOMA-IR, high-density lipoprotein, C-reactive protein, interleukin-6, leptin, and systolic blood pressure. RESULTS: Over a mean (SD) follow-up of 5.2 (0.8) years, we did not find associations of mid-childhood HCC with BMI-for-age-and-sex z score (β = 0.00 per 1-interquartile range of HCC, 95% confidence interval [CI], -0.08 to 0.07), waist circumference (β = -0.04 cm, 95% CI, -0.83 to 0.74), metabolic risk z score (β = 0.04, 95% CI, -0.03 to 0.11), or other cardiometabolic measures except for an increase in log-transformed HOMA-IR (β = 0.10, 95% CI, 0.04-0.17). ΔHCC was not associated with any outcome measures. CONCLUSIONS: We found that mid-childhood HCC was not associated with early adolescent adiposity or cardiometabolic biomarkers except for a slight increase in HOMA-IR.
Authors: Emily Oken; Andrea A Baccarelli; Diane R Gold; Ken P Kleinman; Augusto A Litonjua; Dawn De Meo; Janet W Rich-Edwards; Sheryl L Rifas-Shiman; Sharon Sagiv; Elsie M Taveras; Scott T Weiss; Mandy B Belfort; Heather H Burris; Carlos A Camargo; Susanna Y Huh; Christos Mantzoros; Margaret G Parker; Matthew W Gillman Journal: Int J Epidemiol Date: 2014-03-16 Impact factor: 7.196
Authors: Veerle J Verheyen; Sylvie Remy; Eva Govarts; Ann Colles; Gudrun Koppen; Laura Rodriguez Martin; Flemming Nielsen; Liesbeth Bruckers; Esmée M Bijnens; Stijn Vos; Bert Morrens; Dries Coertjens; Ilse Loots; Annelies De Decker; Carmen Franken; Elly Den Hond; Vera Nelen; Stefaan De Henauw; Adrian Covaci; Nicolas Van Larebeke; Caroline Teughels; Tim S Nawrot; Greet Schoeters Journal: Front Public Health Date: 2021-11-23
Authors: Eline van der Valk; Ozair Abawi; Mostafa Mohseni; Amir Abdelmoumen; Vincent Wester; Bibian van der Voorn; Anand Iyer; Erica van den Akker; Sanne Hoeks; Sjoerd van den Berg; Yolanda de Rijke; Tobias Stalder; Elisabeth van Rossum Journal: Obes Rev Date: 2021-11-22 Impact factor: 10.867