SEARCHCROSS-SECTIONALendocrinology, internal medicine

cross-sectional·endocrinology, internal medicine, geriatrics, epidemiology·PMC10039658

Association of Different Obesity Phenotypes with Sarcopenia in Han Chinese Middle-Aged and Elderly with Type 2 Diabetes Individuals

Diabetes, Metabolic Syndrome and Obesity · 3 authors, 3 centres

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TL;DR

This cross-sectional study of 385 hospitalized Han Chinese middle-aged and elderly men with type 2 diabetes examined the relationship between obesity phenotypes (defined by BMI and waist circumference) and sarcopenia. Higher BMI was inversely associated with sarcopenia risk, while abdominal obesity (elevated waist circumference) was positively associated with sarcopenia.

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The overall prevalence of sarcopenia was 32.2% and abdominal obesity was 74.0%. The detection rate of lower ASMI decreased gradually from Group A (74.6%) to Group D (51.6%). Adjusted logistic regression showed that elevated BMI in the overweight and obese groups decreased the risk of lower ASMI by 32%, while male sex and higher waist circumference were risk factors. Limitations include the cross-sectional design, which precludes causal inference, and the hospital-based sample with poor glycemic control, limiting generalizability to community-dwelling populations.

STUDY TYPE

cross-sectional

SPECIALTY

endocrinology

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ORIGINAL PAPER

PMC10039658

Association of Different Obesity Phenotypes with Sarcopenia in Han Chinese Middle-Aged and Elderly with Type 2 Diabetes Individuals

Diabetes, Metabolic Syndrome and Obesity

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ABSTRACT

Abstract Purpose To investigate the relationship between different obesity phenotypes and sarcopenia in hospitalized Chinese patients with type 2 diabetes mellitus (T2DM). Methods This cross-sectional study included 385 men. Anthropometric measurements including applied the determination method of Dual-energy X-ray absorptiometry (DXA) determination of limb skeletal muscle mass index (ASMI) and blood samples were analyzed. The people were divided into four groups according to body mass index (BMI) (≥24kg/m 2 ) and waist circumference (WC) (female ≥85cm, male ≥90cm). Group A (BMI and WC were normal), Group B (BMI was normal and high WC), Group C (high BMI and WC were normal), and Group D (BMI and WC were abnormal). Results The prevalence rates of sarcopenia and abdominal obesity were 32.2% and 74.0%, respectively. The detection rate of lower ASMI decreased gradually from Group A to Group D(74.6% vs 68.3% vs 54.5% vs 51.6%, χ 2 =14.243, P=0.003). Logistic analysis showed that the risk of lower ASMI were decreased by 62.4% (95% CI: 0.149–0.950, P = 0.039) in Group C and 68.8% (95% CI: 0.165–0.593, P = 0.000) in Group D compared with Group A, respectively. The risk of lower ASMI were increased 4.153-fold (95% CI: 2.623–6.576, P = 0.000) in male. Male (OR = 4.065, 95% CI: 2.246–7.356, P = 0.000) and WC (OR = 1.053, 95% CI: 1.004–1.104, P = 0.033) were risk factors for lower ASMI, but the risk of lower ASMI was decreased by 32% (95% CI: 0.5744–0.804, P = 0.000) by elevated BMI in the overweight and obese group (Group C and Group D). Conclusion The prevalence of sarcopenia and abdominal obesity was elevated in han Chinese middle-aged and elderly patients with T2DM. Being overweight or obesity as defined by BMI protect against sarcopenia, while abdominal obesity increases the risk of sarcopenia. Keywords: T2DM, sarcopenia, ASMI, BMI, WC

CITATION EXPORT

Lanyu Lu, Bowei Liu, Yongfang Ma. Association of Different Obesity Phenotypes with Sarcopenia in Han Chinese Middle-Aged and Elderly with Type 2 Diabetes Individuals. Diabetes, Metabolic Syndrome and Obesity. (2023). https://doi.org/10.2147/DMSO.S398475

AUTHORS

3 · 3 CENTRES

Lanyu Lu, Bowei Liu, Yongfang Ma

1Department of Endocrinology and Metabolic Diseases, Hebei Medical University, Shijiazhuang, Hebei, People’s Republic of China
2Department of Endocrinology, The First Hospital of Qinhuangdao, Qinhuangdao, Hebei, People’s Republic of China
3Department of Internal Medicine, Chengde Medical University, Chengde, Hebei, People’s Republic of China