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Diabetes, Metabolic Syndrome and Obesity Volume 14, 2021 - Issue
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Original Research

The Association Between Sarcopenic Obesity and Hypertension, Diabetes, and Abnormal Lipid Metabolism in Chinese Adults

Ting Yin1 School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia, People’s Republic of China;2 Key Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University, Yinchuan, Ningxia, People’s Republic of ChinaView further author information
,
Jia-Xing Zhang1 School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia, People’s Republic of ChinaView further author information
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Fa-Xuan Wang1 School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia, People’s Republic of China;2 Key Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University, Yinchuan, Ningxia, People’s Republic of ChinaView further author information
,
Jian-Hua Zhao3 Ningxia Center for Disease Control and Prevention, Yinchuan, Ningxia, People’s Republic of ChinaView further author information
,
Yu Zhao1 School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia, People’s Republic of China;2 Key Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University, Yinchuan, Ningxia, People’s Republic of ChinaView further author information
,
Lan Liu1 School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia, People’s Republic of China;2 Key Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University, Yinchuan, Ningxia, People’s Republic of ChinaView further author information
,
Xiu-Ying Liu1 School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia, People’s Republic of China;2 Key Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University, Yinchuan, Ningxia, People’s Republic of ChinaView further author information
,
Yu-Hong Zhang1 School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia, People’s Republic of China;2 Key Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University, Yinchuan, Ningxia, People’s Republic of ChinaCorrespondence[email protected] [email protected]
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&
Yi Zhao1 School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia, People’s Republic of China;2 Key Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University, Yinchuan, Ningxia, People’s Republic of ChinaView further author information
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Pages 1963-1973 | Published online: 30 Apr 2021

Figures & data

Figure 1 Respondent screening process for the participants.

Figure 1 Respondent screening process for the participants.

Table 1 Participants Characteristic According to the Presence of SO

Table 2 Logistic Regression of the Influencing Factors of SO

Table 3 Multivariable Association of Participants’ Characteristics with SO

Table 4 AUC of Different Anthropometric Variables Evaluating SO

Figure 2 ROC curves for total participants (A), male (B) and female (C) in predicting sarcopenic obesity according to BMI, WC, WHR (GraphPad Prism 8 used to create the artwork).

Notes: ROC curves for total participants (A) in predicting sarcopenic obesity according to BMI, WC, WHR; ROC curves for males (B) in predicting sarcopenic obesity according to BMI, WC, WHR; ROC curves for females (C) in predicting sarcopenic obesity according to BMI, WC, WHR (GraphPad Prism 8 used to create the artwork).
Figure 2 ROC curves for total participants (A), male (B) and female (C) in predicting sarcopenic obesity according to BMI, WC, WHR (GraphPad Prism 8 used to create the artwork).

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