1
|
Zhang D, Yang Y, Xu L, Zou H, Wu X, Yang L, Zhou B, Xu Q. Association between tri-ponderal mass index and glucose metabolism disorder in children with obesity in China: A case-control study. Medicine (Baltimore) 2024; 103:e37364. [PMID: 38457571 PMCID: PMC10919466 DOI: 10.1097/md.0000000000037364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 01/31/2024] [Accepted: 02/02/2024] [Indexed: 03/10/2024] Open
Abstract
Obesity is a risk factor for glucose metabolism disorder. This study explored the association between the tri-ponderal mass index (TMI) and indicators of glucose metabolism disorder in children with obesity in China. This retrospective case-control study included children aged 3 to 18 years old diagnosed with obesity at Jiangxi Provincial Children's Hospital (China) between January 2020 and April 2022. Demographic and clinical characteristics were obtained from the medical records. Factors associated with glucose metabolism disorder were explored by logistic regression analysis. Pearson correlations were calculated to evaluate the relationships between TMI and indicators of glucose metabolism disorder. The analysis included 781 children. The prevalence of glucose metabolism disorder was 22.0% (172/781). The glucose metabolism disorder group had an older age (11.13 ± 2.19 vs 10.45 ± 2.33 years old, P = .001), comprised more females (76.8% vs 66.9%, P = .008), had a higher Tanner index (P = .001), and had a larger waist circumference (89.00 [82.00-95.00] vs 86.00 [79.00-93.75] cm, P = .025) than the non-glucose metabolism disorder group. There were no significant differences between the glucose metabolism disorder and non-glucose metabolism disorder groups in other clinical parameters, including body mass index (26.99 [24.71-30.58] vs 26.57 [24.55-29.41] kg/m2) and TMI (18.38 [17.11-19.88] vs 18.37 [17.11-19.88] kg/m3). Multivariable logistic regression did not identify any factors associated with glucose metabolism disorder. Furthermore, TMI was only very weakly or negligibly correlated with indicators related to glucose metabolism disorder. TMI may not be a useful indicator to screen for glucose metabolism disorder in children with obesity in China.
Collapse
Affiliation(s)
- Dongguang Zhang
- Department of Endocrinology, Metabolism and Genetics, Jiangxi Provincial Children’s Hospital (The Affiliated Children’s Hospital of Nanchang Medical College), Jiangxi Provincial Children’s Genetic and Metabolic Disease Clinical Medicine Research Center, Nanchang, China
| | - Yu Yang
- Department of Endocrinology, Metabolism and Genetics, Jiangxi Provincial Children’s Hospital (The Affiliated Children’s Hospital of Nanchang Medical College), Jiangxi Provincial Children’s Genetic and Metabolic Disease Clinical Medicine Research Center, Nanchang, China
| | - Lei Xu
- Department of Endocrinology, Metabolism and Genetics, Jiangxi Provincial Children’s Hospital (The Affiliated Children’s Hospital of Nanchang Medical College), Jiangxi Provincial Children’s Genetic and Metabolic Disease Clinical Medicine Research Center, Nanchang, China
| | - Haiying Zou
- Department of Endocrinology, Metabolism and Genetics, Jiangxi Provincial Children’s Hospital (The Affiliated Children’s Hospital of Nanchang Medical College), Jiangxi Provincial Children’s Genetic and Metabolic Disease Clinical Medicine Research Center, Nanchang, China
| | - Xian Wu
- Department of Endocrinology, Metabolism and Genetics, Jiangxi Provincial Children’s Hospital (The Affiliated Children’s Hospital of Nanchang Medical College), Jiangxi Provincial Children’s Genetic and Metabolic Disease Clinical Medicine Research Center, Nanchang, China
| | - Li Yang
- Department of Endocrinology, Metabolism and Genetics, Jiangxi Provincial Children’s Hospital (The Affiliated Children’s Hospital of Nanchang Medical College), Jiangxi Provincial Children’s Genetic and Metabolic Disease Clinical Medicine Research Center, Nanchang, China
| | - Bin Zhou
- Department of Endocrinology, Metabolism and Genetics, Jiangxi Provincial Children’s Hospital (The Affiliated Children’s Hospital of Nanchang Medical College), Jiangxi Provincial Children’s Genetic and Metabolic Disease Clinical Medicine Research Center, Nanchang, China
| | - Qingbo Xu
- Department of Endocrinology, Metabolism and Genetics, Jiangxi Provincial Children’s Hospital (The Affiliated Children’s Hospital of Nanchang Medical College), Jiangxi Provincial Children’s Genetic and Metabolic Disease Clinical Medicine Research Center, Nanchang, China
| |
Collapse
|
2
|
Metabolic risk assessment in children and adolescents using the tri-ponderal mass index. Sci Rep 2022; 12:10094. [PMID: 35710910 PMCID: PMC9203500 DOI: 10.1038/s41598-022-13342-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Accepted: 05/23/2022] [Indexed: 11/08/2022] Open
Abstract
We assessed the risk of metabolic syndrome in children and adolescents who were classified using the tri-ponderal mass index (TMI) with data from the Korea National Health and Nutrition Examination Survey (KNHANES). Data from 10 to 18-year-old subjects that were overweight or obese (n = 1362) were extracted from the KNHANES 2007-2018. Weight classifications were determined by TMI and included overweight and Class I, Class II, and Class III obesity. The standard deviation scores (SDS) of weight, waist circumference, and body mass index (BMI) as well as cardiometabolic risk factors, including blood pressure, serum glucose levels, total cholesterol (T-C), triglycerides, HDL-c, and low-density lipoprotein cholesterol (LDL-c), worsened with the severity of obesity. Most risk factors showed a linear association with the severity increase, except for fasting glucose levels, T-C, and LDL-c. The prevalence of cardiometabolic risks also increased with the severity of obesity, which developed earlier in boys than in girls. The risk of metabolic syndrome significantly increased with the severity of obesity in both unadjusted and adjusted analyses. TMI reflected the severity of obesity and predicted the risk of metabolic syndrome and its components. Therefore, clinical applications of TMI could be a useful to identify the incidence of childhood obesity and metabolic syndromes.
Collapse
|