TY - JOUR
T1 - Testosterone
T2 - Relationships with Metabolic Disorders in Men - An Observational Study from SPECT-China
AU - Cheng, Jing
AU - Han, Bing
AU - Li, Qin
AU - Xia, Fangzhen
AU - Zhai, Hualing
AU - Wang, Ningjian
AU - Jensen, Michael
AU - Lu, Yingli
N1 - Funding Information:
This study was supported by National Natural Science Foundation of China (81570726, 81600609); Shanghai Jiao Tong University School of Medicine (2014); Science and Technology Commission of Shanghai Municipality (16410723200, 16411971200); Shanghai Municipal Commission of Health and Family Planning (20164Y0079); Commission of Health and Family Planning of Pudong District (PW2015D-5); the Fourth Round of Three-Year Public Health Action Plan of Shanghai by the Shanghai Municipal Commission of Health and Family Planning (15GWZK0202); and Clinical Research Plan of SHDC (16CR3076B). The authors thank Xiaojin Wang and Bingshun Wang from the Department of Biostatistics, Shanghai Jiao Tong University School of Medicine, for data processing. The authors thank Weiping Tu, Bin Li, and Ling Hu for helping organize this investigation. The authors also thank all the team members and participants in SPECT-China study.
Publisher Copyright:
© 2017 Jing Cheng et al.
PY - 2017
Y1 - 2017
N2 - Background. The strength of associations between total testosterone (TT) and metabolic parameters may vary in different nature of population structure; however, no study has ever given this information in Chinese population, especially those without metabolic syndrome (MS). We aimed to analyze the association magnitudes between TT and multiple metabolic parameters in general Chinese men. Methods. 4309 men were recruited from SPECT-China study in 2014-2015, which was performed in 22 sites in East China. TT, weight status, and various metabolic parameters were measured. Linear and logistic regressions were used to analyze the associations. Results. Men in lower TT quartiles had worse metabolic parameters including body mass index, triglycerides, HbA1c, and HOMA-IR (all P for trend < 0.001). Body mass index (B -0.32, 95%CI -0.35 to -0.29) and obesity (OR 0.40, 95%CI 0.35-0.45) had the largest association magnitude per one SD increment in TT, while blood pressure and hypertension (OR 0.90, 95%CI 0.84-0.98) had the smallest. These associations also persisted in individuals without metabolic syndrome. Conclusions. Obesity indices had closer relationships with TT than most other metabolic measures with blood pressure the least close. These associations remained robust after adjustment for adiposity and in subjects without metabolic syndrome.
AB - Background. The strength of associations between total testosterone (TT) and metabolic parameters may vary in different nature of population structure; however, no study has ever given this information in Chinese population, especially those without metabolic syndrome (MS). We aimed to analyze the association magnitudes between TT and multiple metabolic parameters in general Chinese men. Methods. 4309 men were recruited from SPECT-China study in 2014-2015, which was performed in 22 sites in East China. TT, weight status, and various metabolic parameters were measured. Linear and logistic regressions were used to analyze the associations. Results. Men in lower TT quartiles had worse metabolic parameters including body mass index, triglycerides, HbA1c, and HOMA-IR (all P for trend < 0.001). Body mass index (B -0.32, 95%CI -0.35 to -0.29) and obesity (OR 0.40, 95%CI 0.35-0.45) had the largest association magnitude per one SD increment in TT, while blood pressure and hypertension (OR 0.90, 95%CI 0.84-0.98) had the smallest. These associations also persisted in individuals without metabolic syndrome. Conclusions. Obesity indices had closer relationships with TT than most other metabolic measures with blood pressure the least close. These associations remained robust after adjustment for adiposity and in subjects without metabolic syndrome.
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U2 - 10.1155/2017/4547658
DO - 10.1155/2017/4547658
M3 - Article
AN - SCOPUS:85042788797
SN - 1687-8337
VL - 2017
JO - International Journal of Endocrinology
JF - International Journal of Endocrinology
M1 - 4547658
ER -