Objective: To investigate the performance of weight/height in discriminating obesity-related cardio-metabolic risks, and compare their performance with BMI in Chinese and American children.
Methods: 57,201 Chinese children aged 7-18 and 10,441 American children aged 12-18 with complete record of sex, age, height, weight, and waist circumference were included. Analyses and comparisons of BMI, weight/height, and weight/height were predominantly discussed, while BMI z score, converted by BMI based on 2007 WHO growth standard, was set as the reference. Log-binomial regression models and areas under receiver-operating characteristic curves were used to examine their abilities on identifying cardio-metabolic risks, including elevated blood pressure, impaired fasting glucose, and dyslipidemia. Misclassification rates of each index were calculated.
Results: Weight/height is relatively stable during childhood in both populations. Odds ratio of weight/height in discriminating cardio-metabolic risks ranged from 1.09 (95% CI: 1.04, 1.14) to 1.23 (95% CI: 1.22, 1.25) and 1.06 (95% CI: 1.04, 1.08,) to 1.17 (95% CI: 1.15, 1.20) in Chinese and American participants, respectively. When 85th and 95th percentiles were set as thresholds for each sex, weight/height showed similar accuracy to BMI percentiles, and were more precise than BMI z scores. Misclassification rates of weight/height ranged from 19.1% (95% CI: 18.8%, 19.5%) to 34.7% (95% CI: 34.0%, 35.4%) compared to BMI z score, which ranged from 26.3% (95% CI: 26.0%, 26.7%) to 36.8% (95% CI: 36.0%, 37.5%) in Chinese participants. Results were similar in American participants. Combined use of weight/height and waist-to-height ratio did not change the classification accuracy.
Conclusions And Relevance: Tri-ponderal mass index (TMI) performed superior to BMI z scores and similar to BMI percentiles in Chinese and American participants. TMI is stable in adolescents, and could be a more efficient indicator for screening obesity-related cardio-metabolic risks in routine health screening compared with BMI.
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http://dx.doi.org/10.1038/s41366-019-0416-y | DOI Listing |
Pflugers Arch
January 2025
Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.
The global increase of overweight and obesity in children and adults is one of the most prominent public health threats, often accompanied by insulin resistance, hypertension, and dyslipidemia. The simultaneous occurrence of these health problems is referred to as metabolic syndrome. Various criteria have been proposed to define this syndrome, but no general consensus on the specific markers and the respective cut-offs has been achieved yet.
View Article and Find Full Text PDFInt J Environ Res Public Health
December 2024
Department of Biomedical and Health Informatics, University of Missouri, Kansas City, MO 64108, USA.
This study assessed the association of food security with potential cardio-metabolic risk factors among persons with metabolic syndrome (MetS). Data were derived from the baseline data of a randomized controlled lifestyle intervention trial for individuals with MetS. Household food security, fruit and vegetable intake, perceived food environment, and perceived stress were collected using validated questionnaires.
View Article and Find Full Text PDFEur Thyroid J
January 2025
M Rotondi, Department of Internal Medicine and Therapeutics, University of Pavia, Pavia, Italy.
Objective: The prevalence of Thyroid-Cancer (TC) has increased worldwide and an association with metabolic and cardio-vascular disorders has been reported. Moreover, an increasing percentage of patients are currently diagnosed incidentally through non-thyroid related imaging for other clinical conditions. Our aim was to assess the prevalence of Thyroid-Related (TD) versus Incidental (ID) pre-surgery reasons leading to TC diagnosis and to compare the two groups in terms of clinical characteristics, size and severity of TC at presentation and rate of non-thyroid cancers and cardiovascular/metabolic comorbidities.
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Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School Boston, MA, USA.
Objectives: This systematic review aimed to review existing evidence to evaluate the effects of physical cardiac rehabilitation on cardio-pulmonary outcomes in the patients with hypertrophic cardiomyopathy (HCM).
Methods: We conducted a systematic search of the databases PubMed, Web of Science, Embase, Scopus, and Google Scholar. The initial search led to 1222 citations after removing duplicate results.
Predicting the outcome of a kidney transplant involving a living donor advances donor decision-making donors for clinicians and patients. However, the discriminative or calibration capacity of the currently employed models are limited. We set out to apply artificial intelligence (AI) algorithms to create a highly predictive risk stratification indicator, applicable to the UK's transplant selection process.
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