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Testosterone-Associated Dietary Pattern Predicts Low Testosterone Levels and Hypogonadism

Obesity and low serum testosterone (T) levels are interrelated and strongly influenced by dietary factors, and their alteration entails a great risk of hypogonadism. Substantial evidence suggests a bidirectional relationship between nutrient metabolism (e.g., glucose, lipids, and iron) and T levels...

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Autores principales: Hu, Tzu-Yu, Chen, Yi Chun, Lin, Pei, Shih, Chun-Kuang, Bai, Chyi-Huey, Yuan, Kuo-Ching, Lee, Shin-Yng, Chang, Jung-Su
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6266690/
https://www.ncbi.nlm.nih.gov/pubmed/30453566
http://dx.doi.org/10.3390/nu10111786
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author Hu, Tzu-Yu
Chen, Yi Chun
Lin, Pei
Shih, Chun-Kuang
Bai, Chyi-Huey
Yuan, Kuo-Ching
Lee, Shin-Yng
Chang, Jung-Su
author_facet Hu, Tzu-Yu
Chen, Yi Chun
Lin, Pei
Shih, Chun-Kuang
Bai, Chyi-Huey
Yuan, Kuo-Ching
Lee, Shin-Yng
Chang, Jung-Su
author_sort Hu, Tzu-Yu
collection PubMed
description Obesity and low serum testosterone (T) levels are interrelated and strongly influenced by dietary factors, and their alteration entails a great risk of hypogonadism. Substantial evidence suggests a bidirectional relationship between nutrient metabolism (e.g., glucose, lipids, and iron) and T levels in men; however, T-related dietary patterns remain unclear. This study investigated the dietary patterns associated with serum total T levels and its predictive effect on hypogonadism and the body composition. Anthropometry, blood biochemistry, and food frequency questionnaires were collected for 125 adult men. Dietary patterns were derived using a reduced rank regression from 32 food groups. Overall prevalence rates of central obesity and hypogonadism were 48.0% and 15.7%, respectively. An adjusted linear regression showed that age, insulin, red blood cell (RBC) aggregation, and transferrin saturation independently predicted serum total T levels (all p < 0.01). The total T-related dietary pattern (a high consumption of bread and pastries, dairy products, and desserts, eating out, and a low intake of homemade foods, noodles, and dark green vegetables) independently predicted hypogonadism (odds ratio: 5.72; 95% confidence interval: 1.11‒29.51, p < 0.05) for those with the highest dietary pattern scores (Q4) compared to those with the lowest (Q1). Scores were also negatively correlated with the skeletal muscle mass (p for trend = 0.002) but positively correlated with the total body fat mass (p for trend = 0.002), visceral fat mass (p for trend = 0.001), and to a lesser extent, subcutaneous fat mass (p for trend = 0.035) after adjusting for age. Randomized controlled trials are needed to confirm that improvement in dietary pattern can improve T levels and reduce hypogonadism.
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spelling pubmed-62666902018-12-06 Testosterone-Associated Dietary Pattern Predicts Low Testosterone Levels and Hypogonadism Hu, Tzu-Yu Chen, Yi Chun Lin, Pei Shih, Chun-Kuang Bai, Chyi-Huey Yuan, Kuo-Ching Lee, Shin-Yng Chang, Jung-Su Nutrients Article Obesity and low serum testosterone (T) levels are interrelated and strongly influenced by dietary factors, and their alteration entails a great risk of hypogonadism. Substantial evidence suggests a bidirectional relationship between nutrient metabolism (e.g., glucose, lipids, and iron) and T levels in men; however, T-related dietary patterns remain unclear. This study investigated the dietary patterns associated with serum total T levels and its predictive effect on hypogonadism and the body composition. Anthropometry, blood biochemistry, and food frequency questionnaires were collected for 125 adult men. Dietary patterns were derived using a reduced rank regression from 32 food groups. Overall prevalence rates of central obesity and hypogonadism were 48.0% and 15.7%, respectively. An adjusted linear regression showed that age, insulin, red blood cell (RBC) aggregation, and transferrin saturation independently predicted serum total T levels (all p < 0.01). The total T-related dietary pattern (a high consumption of bread and pastries, dairy products, and desserts, eating out, and a low intake of homemade foods, noodles, and dark green vegetables) independently predicted hypogonadism (odds ratio: 5.72; 95% confidence interval: 1.11‒29.51, p < 0.05) for those with the highest dietary pattern scores (Q4) compared to those with the lowest (Q1). Scores were also negatively correlated with the skeletal muscle mass (p for trend = 0.002) but positively correlated with the total body fat mass (p for trend = 0.002), visceral fat mass (p for trend = 0.001), and to a lesser extent, subcutaneous fat mass (p for trend = 0.035) after adjusting for age. Randomized controlled trials are needed to confirm that improvement in dietary pattern can improve T levels and reduce hypogonadism. MDPI 2018-11-16 /pmc/articles/PMC6266690/ /pubmed/30453566 http://dx.doi.org/10.3390/nu10111786 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Hu, Tzu-Yu
Chen, Yi Chun
Lin, Pei
Shih, Chun-Kuang
Bai, Chyi-Huey
Yuan, Kuo-Ching
Lee, Shin-Yng
Chang, Jung-Su
Testosterone-Associated Dietary Pattern Predicts Low Testosterone Levels and Hypogonadism
title Testosterone-Associated Dietary Pattern Predicts Low Testosterone Levels and Hypogonadism
title_full Testosterone-Associated Dietary Pattern Predicts Low Testosterone Levels and Hypogonadism
title_fullStr Testosterone-Associated Dietary Pattern Predicts Low Testosterone Levels and Hypogonadism
title_full_unstemmed Testosterone-Associated Dietary Pattern Predicts Low Testosterone Levels and Hypogonadism
title_short Testosterone-Associated Dietary Pattern Predicts Low Testosterone Levels and Hypogonadism
title_sort testosterone-associated dietary pattern predicts low testosterone levels and hypogonadism
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6266690/
https://www.ncbi.nlm.nih.gov/pubmed/30453566
http://dx.doi.org/10.3390/nu10111786
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