UPF intake positively correlates with glucose, total cholesterol, hsCRP, SAT, and VAT, predicting abdominal obesity in T2DM patients with 70.35% sensitivity and 82.46% specificity.
Does high ultra-processed food intake correlate with worse glycemic and abdominal ultrasound parameters in T2DM patients with abdominal obesity?
286 patients with type 2 diabetes mellitus (T2DM), including a subgroup of 172 patients with abdominal obesity.
High ultra-processed food (UPF) intake (n=98)
Low ultra-processed food (UPF) intake (n=74)
Correlation between UPF intake and abdominal ultrasound parameters (subcutaneous adipose tissue [SAT], visceral adipose tissue [VAT]) and glycemic parameterssurrogate
Higher intake of ultra-processed foods is associated with worse glycemic control, increased systemic inflammation, and greater visceral and subcutaneous adiposity in T2DM patients with abdominal obesity.
Absolute Event Rate: 0% vs 0%
Background: Over the past 50 years, the consumption of ultra-processed food (UPF) has increased significantly, paralleling the rising trend in obesity. UPF has been shown to have numerous adverse health outcomes and is associated with various lifestyle-related diseases. Although the relationship between UPF and visceral adipose tissue has been explored, comprehensive analyses of UPF in relation to abdominal ultrasound parameters and glycemic parameters in patients with abdominal obesity and type 2 diabetes mellitus (T2DM) remain limited. Therefore, this study was conducted to investigate the aforementioned relationship in this specific patient population. Methods: A retrospective study was conducted on 286 T2DM patients admitted to our hospital from January 2021 to December 2024, consisting of 172 patients with abdominal obesity. The T2DM patients with abdominal obesity were divided into two groups: low UPF intake group (n = 74) and high UPF intake group (n = 98). Spearman's rank correlation was used to assess associations between variables. The receiver operating characteristic (ROC) curve was employed to evaluate the predictive value of relevant indicators in T2DM patients with or without abdominal obesity. Results: There were no statistically significant differences in age, gender, hypertension, smoking status, alcohol consumption, Triglycerides (TG). Glycosylated hemoglobin (HbA1c), and interleukin-6 (IL-6) between the low UPF intake group and the high UPF intake group (p > 0.05). However, differences in Body Mass Index (BMI); Glucose (GLU); Total Cholesterol (TC), Hypersensitive C-reactive Protein (hsCRP), Subcutaneous Adipose Tissue (SAT), and visceral adipose tissue (VAT) were statistically significant (p r = 0.437, 0.287, 0.192, 0.372, 0.447; p p p < 0.05). ROC analysis demonstrated that the area under the curve of the composite index was 0.799, with a standard error of 0.027 (95% CI: 0.747–0.852), a Youden index of 0.53, sensitivity of 70.35%, and specificity of 82.46%. Conclusion: UPF intake is positively correlated with GLU, TC, hsCRP, SAT, and VAT, and the combination of UPF intake with SAT and VAT has a high predictive value for abdominal obesity in T2DM patients.
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Dongying Nie
Xueyong Lou
Discovery Medicine
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Nie et al. (Thu,) reported a other. UPF intake positively correlates with glucose, total cholesterol, hsCRP, SAT, and VAT, predicting abdominal obesity in T2DM patients with 70.35% sensitivity and 82.46% specificity.
synapsesocial.com/papers/699fe35995ddcd3a253e71bb — DOI: https://doi.org/10.24976/discov.med.202638205.44