David S Lopez1,2, Lydia Liu3, Stephanie A Smith-Warner3, Konstantinos K Tsilidis4,5, Carrie Daniel6, Jacques Baillargeon7, Sabine Rohrmann8, Elizabeth A Platz9,10,11, Edward Giovannucci3,12. 1. Deparment of Preventive Medicine and Population Health, University of Texas Medical Branch, Galveston, TX, USA. davlopez@utmb.edu. 2. Department of Preventive Medicine and Population Health, UTMB Health School of Medicine, 301 University Blvd., Galveston, TX, 77555-1153, USA. davlopez@utmb.edu. 3. Departments of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA. 4. Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK. 5. Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece. 6. Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA. 7. Deparment of Preventive Medicine and Population Health, University of Texas Medical Branch, Galveston, TX, USA. 8. Department of Chronic Disease Epidemiology, Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Zurich, Switzerland. 9. Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. 10. Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD, USA. 11. Department of Urology and the James Buchanan Brady Urological Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA. 12. Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital- Harvard Medical School, Boston, MA, USA.
Abstract
PURPOSE: The association of dietary patterns with testosterone (T) and sex hormone binding globulin (SHBG) levels remains unclear. We investigated the associations of dietary patterns with T and SHBG levels to determine whether these associations vary by obesity status. METHODS: A cross-sectional analysis was conducted in 1376 middle-aged (≥ 40 years old) men of the Health Professionals Follow-up Study. Prudent (rich in whole grains and dietary fiber) and Western (rich in red meat and refined grains) diet scores were identified using principal component analysis. The Alternate Healthy Eating Index 2010 (AHEI-2010) score, a measure of overall diet quality, was defined based on foods and nutrients predictive of chronic disease risk. RESULTS: We identified a weak inverse association between AHEI-2010 and T levels (Ptrend = 0.07), but no associations with other dietary patterns. Null associations were observed between diet scores and SHBG. Obesity status appeared to modify the associations for the Prudent diet and AHEI-2010 with both T and SHBG (Pinteraction ≤ 0.05). T levels were lower (Q1 vs. Q4, 4.23 vs. 3.38) and SHBG higher (Q1 vs. Q4, 48.6 vs. 64.3) with adherence to a more prudent diet among obese men (Ptrends ≤ 0.05). CONCLUSION: We observed a weak inverse association between AHEI-2010 and T levels. Null associations were identified for SHBG. Obesity status seemed to modulate associations of T and SHBG levels with diet scores, especially the AHEI-2010 and prudent diets. However, this research question warrants further investigation in prospective studies.
PURPOSE: The association of dietary patterns with testosterone (T) and sex hormone binding globulin (SHBG) levels remains unclear. We investigated the associations of dietary patterns with T and SHBG levels to determine whether these associations vary by obesity status. METHODS: A cross-sectional analysis was conducted in 1376 middle-aged (≥ 40 years old) men of the Health Professionals Follow-up Study. Prudent (rich in whole grains and dietary fiber) and Western (rich in red meat and refined grains) diet scores were identified using principal component analysis. The Alternate Healthy Eating Index 2010 (AHEI-2010) score, a measure of overall diet quality, was defined based on foods and nutrients predictive of chronic disease risk. RESULTS: We identified a weak inverse association between AHEI-2010 and T levels (Ptrend = 0.07), but no associations with other dietary patterns. Null associations were observed between diet scores and SHBG. Obesity status appeared to modify the associations for the Prudent diet and AHEI-2010 with both T and SHBG (Pinteraction ≤ 0.05). T levels were lower (Q1 vs. Q4, 4.23 vs. 3.38) and SHBG higher (Q1 vs. Q4, 48.6 vs. 64.3) with adherence to a more prudent diet among obese men (Ptrends ≤ 0.05). CONCLUSION: We observed a weak inverse association between AHEI-2010 and T levels. Null associations were identified for SHBG. Obesity status seemed to modulate associations of T and SHBG levels with diet scores, especially the AHEI-2010 and prudent diets. However, this research question warrants further investigation in prospective studies.
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