The effect of sarcopenic obesity on glycaemic status based on fasting plasma glucose and glycated haemoglobin: A prospective cohort study DOI
Yiling Lou, Yulin Xie, Qingqing Jiang

et al.

Diabetes Obesity and Metabolism, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 21, 2024

Abstract Aim To investigate the effect of sarcopenic obesity on progression glycaemic status in middle‐aged and older adults without diabetes. Materials Methods This research involved 4637 participants diabetes from China Health Retirement Longitudinal Study 2011–2015. Sarcopenic at baseline was evaluated based Asian Working Group for Sarcopenia 2019 criteria. According to American Diabetes Association criteria, we used fasting plasma glucose glycated haemoglobin define status. Cox proportional hazard models were applied obtain adjusted ratios (HRs) 95% confidence intervals (CIs). Results The mean age included 58.98 ± 8.82 years, 45.35% men. During 18,497 person‐years follow‐up, 1743 (37.59%) cases with identified. Compared sarcopenia obesity, but not only or only, exhibited a higher risk normoglycaemia (HR = 2.11; CI: 1.10–4.04). Moreover, 1.65; 1.04–2.63), 1.78; 1.11–2.86), 2.00; 1.29–3.12) had increased prediabetes Conclusions may be more pronounced than that only.

Language: Английский

Unraveling the role of muscle mass and strength in predicting type 2 diabetes risk: a systematic review DOI
Hans Putranata, Antoninus Hengky,

Budhi Hartoko

et al.

Acta Diabetologica, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 6, 2025

Language: Английский

Citations

0
Unraveling the dual threat: sarcopenia and insufficient physical activity in diabetes risk DOI Creative Commons
Huifeng Shi

Frontiers in Endocrinology, Journal Year: 2025, Volume and Issue: 15

Published: Jan. 8, 2025

This study aimed to investigate the alterations in diabetes risk associated with sarcopenia and insufficient physical activity, as well demographic shifts within diabetic population. Utilizing pertinent data from National Health Nutrition Examination Survey (NHANES) database spanning 2011 2018, criteria for were established by Foundation Institutes of Health. These calculated using lean body mass conjunction index data. Physical activity levels assessed PAQ questionnaire NHANES database. The presence was determined through DIQ laboratory examination analysis performed multivariable logistic regression. prevalence both population 188% greater than non-diabetic Sarcopenia positively correlated an increased onset, demonstrating a 1.45-fold heightened when conditions present (OR=2.45,95%CI,1.35-4.44,P<0.05). combined effect significantly alone (OR=1.84,95%CI,1.09-3.11,P<0.05) or (OR=1.55,95%CI,1.11-2.15,P<0.05). A synergistic relationship exists between resulting markedly elevated are concurrently. Therefore, comprehensive management strategies should prioritize populations exhibiting activity.

Language: Английский

Citations

0
Regional adipose distribution and metabolically unhealthy phenotype in Chinese adults: evidence from China National Health Survey DOI Creative Commons

Binbin Lin,

Yaoda Hu, Huijing He

et al.

Environmental Health and Preventive Medicine, Journal Year: 2025, Volume and Issue: 30(0), P. 5 - 5

Published: Jan. 1, 2025

The mechanisms distinguishing metabolically healthy from unhealthy phenotypes within the same BMI categories remain unclear. This study aimed to investigate associations between regional fat distribution and in Chinese adults across different categories. cross-sectional involving 11833 aged 20 years older. Covariance analysis, adjusted for age, compared percentage of (trunk, leg, or arm divided by whole-body fat) participants. Trends with number metabolic abnormalities were assessed Jonckheere-Terpstra test. Odds ratios (ORs) their 95% confidence intervals (CIs) estimated logistic regression models. All analyses performed separately sex. In non-obese individuals, participants exhibited higher percent trunk lower leg Additionally, increased decreased abnormalities. After adjustment demographic lifestyle factors, as well BMI, was associated odds being [highest vs. lowest quartile: ORs (95%CI) 1.64 (1.35, 2.00) men 2.00 (1.63, 2.46) women]. Conversely, quartile, phenotype highest quartile 0.64 (0.53, 0.78) 0.60 (0.49, 0.74) men, 0.72 (0.56, 0.93) 0.46 (0.36, 0.59) women, respectively. Significant interactions observed both sexes, stronger found individuals normal weight overweight. Trunk is a risk phenotype, while are protective factors. Regional assessments crucial identifying phenotypes, particularly individuals.

Language: Английский

Citations

0
Crosstalk between microRNA and inflammation; critical regulator of diabetes DOI

Amr Ali Mohamed Abdelgawwad El-Sehrawy,

Mohammed H. Mohammed,

Omar Dheyauldeen Salahdin

et al.

Experimental Cell Research, Journal Year: 2025, Volume and Issue: 447(1), P. 114507 - 114507

Published: March 7, 2025

Language: Английский

Citations

0
The effect of sarcopenic obesity on glycaemic status based on fasting plasma glucose and glycated haemoglobin: A prospective cohort study DOI
Yiling Lou, Yulin Xie, Qingqing Jiang

et al.

Diabetes Obesity and Metabolism, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 21, 2024

Abstract Aim To investigate the effect of sarcopenic obesity on progression glycaemic status in middle‐aged and older adults without diabetes. Materials Methods This research involved 4637 participants diabetes from China Health Retirement Longitudinal Study 2011–2015. Sarcopenic at baseline was evaluated based Asian Working Group for Sarcopenia 2019 criteria. According to American Diabetes Association criteria, we used fasting plasma glucose glycated haemoglobin define status. Cox proportional hazard models were applied obtain adjusted ratios (HRs) 95% confidence intervals (CIs). Results The mean age included 58.98 ± 8.82 years, 45.35% men. During 18,497 person‐years follow‐up, 1743 (37.59%) cases with identified. Compared sarcopenia obesity, but not only or only, exhibited a higher risk normoglycaemia (HR = 2.11; CI: 1.10–4.04). Moreover, 1.65; 1.04–2.63), 1.78; 1.11–2.86), 2.00; 1.29–3.12) had increased prediabetes Conclusions may be more pronounced than that only.

Language: Английский

Citations

0