1.Obesity, type 2 diabetes and fracture risk: New insights from large-scale data studies
Wenjin XIAO ; Cairui LIU ; Keyu ZHU ; Peng WEI ; Jiaxuan GU ; Pianpian ZHAO ; Houfeng ZHENG
Chinese Journal of Endocrinology and Metabolism 2025;41(10):818-822
Fragility fractures represent the final clinical manifestation of osteoporosis and are influenced by a range of risk factors. This article discusses the findings from two large-scale studies utilizing biobank and genomic data to investigate the relationships among obesity, type 2 diabetes and fracture risk, and to explore their implications for health management. The studies suggest that general obesity(defined by body mass index, BMI), central obesity(defined by waist circumference), and peripheral obesity exert different effects on fracture risk in older adults. Specifically, individuals who are overweight based on BMI have a lower fracture risk compared to those with normal weight, whereas an increased waist circumference is associated with a higher fracture risk. Moreover, genetic research indicates that genetically determined type 2 diabetes is not causally associated with increased fracture risk. In contrast, observational studies have reported a higher fracture risk in patients with type 2 diabetes; however, this association becomes non-significant after adjusting for diabetes-related risk factors. These findings highlight that maintaining a moderately elevated BMI may benefit bone formation in the elderly by providing mechanical loading to stimulate bone formation. Additionally, effective management of type 2 diabetes complications is essential for reducing fracture risk, and a certain degree of obesity may confer a protective effect against fractures in individuals with type 2 diabetes.
2.Obesity, type 2 diabetes and fracture risk: New insights from large-scale data studies
Wenjin XIAO ; Cairui LIU ; Keyu ZHU ; Peng WEI ; Jiaxuan GU ; Pianpian ZHAO ; Houfeng ZHENG
Chinese Journal of Endocrinology and Metabolism 2025;41(10):818-822
Fragility fractures represent the final clinical manifestation of osteoporosis and are influenced by a range of risk factors. This article discusses the findings from two large-scale studies utilizing biobank and genomic data to investigate the relationships among obesity, type 2 diabetes and fracture risk, and to explore their implications for health management. The studies suggest that general obesity(defined by body mass index, BMI), central obesity(defined by waist circumference), and peripheral obesity exert different effects on fracture risk in older adults. Specifically, individuals who are overweight based on BMI have a lower fracture risk compared to those with normal weight, whereas an increased waist circumference is associated with a higher fracture risk. Moreover, genetic research indicates that genetically determined type 2 diabetes is not causally associated with increased fracture risk. In contrast, observational studies have reported a higher fracture risk in patients with type 2 diabetes; however, this association becomes non-significant after adjusting for diabetes-related risk factors. These findings highlight that maintaining a moderately elevated BMI may benefit bone formation in the elderly by providing mechanical loading to stimulate bone formation. Additionally, effective management of type 2 diabetes complications is essential for reducing fracture risk, and a certain degree of obesity may confer a protective effect against fractures in individuals with type 2 diabetes.
3.Relationship Between Paracardial Adipose Tissue Volume, Body Mass Index and Severe Coronary Artery Stenosis in Young People
Qibin LIAO ; Caiying LI ; Tong PAN ; Dan ZHANG ; Chenguang KOU ; Cen WANG ; Fangying JIA ; Cairui ZHENG
Chinese Circulation Journal 2017;32(1):46-49
Objective:To evaluate the relationship betweenparacardial adipose tissue (PAT) volume, body mass index (BMI) and severe coronary artery stenosis in young people by quantitative measurement of 256-slice spiral CT.
Methods: A total of 150 patients younger than 45 years and received coronary angiography (CAG) in our hospital were divided into 2 groups:Lesion group, the patients with severe main coronary branch stenosis and Control group, patients with normal coronary artery. n=75 in each group. The height, body weight and BMI were recorded in all patients;imaging data was uploaded to the workstation to calculate the volumes ofepicardiumadipose tissue (EAT) volume,pericardial outsideadipose tissue volume and PAT volume, the correlation among 3 parameters were analyzed respectively.
Results:Compared with Control group, Lesion group had increased BMI (28.169±2.203) kg/m2 vs (24.960±3.041) kg/m2 and PAT volume (178.676±3.041) ml vs (99.0616±3.041) ml, all P<0.05. Compared with Control group,no matter male or female, Lesion group had larger PAT volume, P<0.01.EAT volume was related to pericardial outside adipose tissue volume (r=0.837, P<0.001) and PAT volume (r=0.971, P<0.001);pericardial outside adipose tissue volume was related to PAT volume (r=0.944, P<0.001).
Conclusion:PAT volume and BMI were obviously correlated to severe coronary artery stenosis in young people.

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