Ni Shi1, Susan Olivo-Marston2, Qi Jin3, Desmond Aroke4, Joshua J Joseph5, Steven K Clinton1, JoAnn E Manson6, Kathryn M Rexrode7, Yasmin Mossavar-Rahmani8, Lesley Fels Tinker9, Aladdin H Shadyab10, Rhonda S Arthur11, Linda G Snetselaar12, Linda Van Horn13, Fred K Tabung14. 1. Department of Internal Medicine, College of Medicine, Comprehensive Cancer Center-James Cancer Hospital, Solove Research Institute, The Ohio State University, Columbus, OH. 2. Public Health Honors Program, Division of Epidemiology, College of Public Health, The Ohio State University, Columbus. 3. The Ohio State University, Columbus. 4. Comprehensive Cancer Center-James Cancer Hospital and Solove Research Institute, The Ohio State University, Columbus. 5. Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus. 6. Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA. 7. Division of Women's Health, Department of Medicine, Harvard Medical School, Office for Women's Careers, Center for Diversity and Inclusion, Brigham and Women's Hospital, Boston, MA. 8. Division of Health Behavior Research and Implementation Science, Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY. 9. Fred Hutchinson Cancer Research Center, North Seattle, WA. 10. Department of Family Medicine and Public Health, University of California, San Diego School of Medicine, La Jolla. 11. Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY. 12. Department of Epidemiology, College of Public Health, University of Iowa, Iowa City. 13. Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL. 14. Department of Internal Medicine, College of Medicine, Comprehensive Cancer Center-James Cancer Hospital, Solove Research Institute, The Ohio State University, Columbus, OH; Division of Epidemiology, College of Public Health, The Ohio State University, Columbus, OH. Electronic address: Fred.Tabung@osumc.edu.
Abstract
BACKGROUND: Cardiometabolic diseases are prevalent in aging Americans. Although some studies have implicated greater intake of dairy products, it is not clear how dairy intake is related to biomarkers of cardiometabolic health. OBJECTIVE: Our aim was to test the hypothesis that associations of dairy foods with biomarkers of lipid metabolism, insulin-like growth factor signaling, and chronic inflammation may provide clues to understanding how dairy can influence cardiometabolic health. DESIGN: This was a cross-sectional study in the Women's Health Initiative using baseline food frequency questionnaire data to calculate dairy intake. PARTICIPANTS/ SETTING: Participants were 35,352 postmenopausal women aged 50 to 79 years at 40 clinical centers in the United States. MAIN OUTCOME MEASURES: Baseline (1993-1998) concentrations of 20 circulating biomarkers were measured. STATISTICAL ANALYSES: Multivariable-adjusted linear regression was used to estimate percent difference in biomarker concentrations per serving of total dairy and individual foods (milk, cheese, yogurt, butter, and low-fat varieties). RESULTS: Lower triglyceride concentrations were associated with greater intake of total dairy (-0.8% [95% CI -1.2% to -0.3%]), mainly driven by full-fat varieties. Individual dairy foods had specific associations with circulating lipid components. For example, greater total milk intake was associated with lower concentrations of total cholesterol (-0.4% [95% CI -0.7% to -0.2%]) and high-density lipoprotein cholesterol (-0.5% [95% CI -0.9% to -0.1%]), whereas greater butter intake was associated with higher total cholesterol (0.6% [95% CI 0.2% to 1.0%]) and high-density lipoprotein cholesterol (1.6% [95% CI 1.1% to 2.0%]) concentrations. In contrast, higher total yogurt intake was associated with lower total cholesterol (-1.1% [95% CI -2.0% to -0.2%]) and higher high-density lipoprotein cholesterol (1.8% [95% CI 0.5% to 3.1%]). Greater total dairy intake (regardless of fat content), total cheese, full-fat cheese, and yogurt were consistently associated with lower concentrations of glucose, insulin, and C-reactive protein. However, milk and butter were not associated with these biomarkers. CONCLUSIONS: Higher dairy intake, except butter, was associated with a favorable profile of lipids, insulin response, and inflammatory biomarkers, regardless of fat content. Yet, specific dairy foods might influence these markers uniquely. Findings do not support a putative role of dairy in cardiometabolic diseases observed in some previous studies.
BACKGROUND: Cardiometabolic diseases are prevalent in aging Americans. Although some studies have implicated greater intake of dairy products, it is not clear how dairy intake is related to biomarkers of cardiometabolic health. OBJECTIVE: Our aim was to test the hypothesis that associations of dairy foods with biomarkers of lipid metabolism, insulin-like growth factor signaling, and chronic inflammation may provide clues to understanding how dairy can influence cardiometabolic health. DESIGN: This was a cross-sectional study in the Women's Health Initiative using baseline food frequency questionnaire data to calculate dairy intake. PARTICIPANTS/ SETTING: Participants were 35,352 postmenopausal women aged 50 to 79 years at 40 clinical centers in the United States. MAIN OUTCOME MEASURES: Baseline (1993-1998) concentrations of 20 circulating biomarkers were measured. STATISTICAL ANALYSES: Multivariable-adjusted linear regression was used to estimate percent difference in biomarker concentrations per serving of total dairy and individual foods (milk, cheese, yogurt, butter, and low-fat varieties). RESULTS: Lower triglyceride concentrations were associated with greater intake of total dairy (-0.8% [95% CI -1.2% to -0.3%]), mainly driven by full-fat varieties. Individual dairy foods had specific associations with circulating lipid components. For example, greater total milk intake was associated with lower concentrations of total cholesterol (-0.4% [95% CI -0.7% to -0.2%]) and high-density lipoprotein cholesterol (-0.5% [95% CI -0.9% to -0.1%]), whereas greater butter intake was associated with higher total cholesterol (0.6% [95% CI 0.2% to 1.0%]) and high-density lipoprotein cholesterol (1.6% [95% CI 1.1% to 2.0%]) concentrations. In contrast, higher total yogurt intake was associated with lower total cholesterol (-1.1% [95% CI -2.0% to -0.2%]) and higher high-density lipoprotein cholesterol (1.8% [95% CI 0.5% to 3.1%]). Greater total dairy intake (regardless of fat content), total cheese, full-fat cheese, and yogurt were consistently associated with lower concentrations of glucose, insulin, and C-reactive protein. However, milk and butter were not associated with these biomarkers. CONCLUSIONS: Higher dairy intake, except butter, was associated with a favorable profile of lipids, insulin response, and inflammatory biomarkers, regardless of fat content. Yet, specific dairy foods might influence these markers uniquely. Findings do not support a putative role of dairy in cardiometabolic diseases observed in some previous studies.
Authors: Michele Drehmer; Mark A Pereira; Maria Inês Schmidt; Maria Del Carmen B Molina; Sheila Alvim; Paulo A Lotufo; Bruce B Duncan Journal: Am J Clin Nutr Date: 2015-01-21 Impact factor: 7.045
Authors: Tanja Kongerslev Thorning; Hanne Christine Bertram; Jean-Philippe Bonjour; Lisette de Groot; Didier Dupont; Emma Feeney; Richard Ipsen; Jean Michel Lecerf; Alan Mackie; Michelle C McKinley; Marie-Caroline Michalski; Didier Rémond; Ulf Risérus; Sabita S Soedamah-Muthu; Tine Tholstrup; Connie Weaver; Arne Astrup; Ian Givens Journal: Am J Clin Nutr Date: 2017-04-12 Impact factor: 7.045
Authors: James R Hébert; Edward A Frongillo; Swann A Adams; Gabrielle M Turner-McGrievy; Thomas G Hurley; Donald R Miller; Ira S Ockene Journal: Adv Nutr Date: 2016-05-16 Impact factor: 8.701
Authors: Marcia C de Oliveira Otto; Dariush Mozaffarian; Daan Kromhout; Alain G Bertoni; Christopher T Sibley; David R Jacobs; Jennifer A Nettleton Journal: Am J Clin Nutr Date: 2012-07-03 Impact factor: 7.045
Authors: Paul M Ridker; Jean G MacFadyen; Robert J Glynn; Gary Bradwin; Ahmed A Hasan; Nader Rifai Journal: Eur Heart J Date: 2020-08-14 Impact factor: 29.983
Authors: Kay-Tee Khaw; Stephen J Sharp; Leila Finikarides; Islam Afzal; Marleen Lentjes; Robert Luben; Nita G Forouhi Journal: BMJ Open Date: 2018-03-06 Impact factor: 2.692