Assessing the discrimination of a fitted logistic model, via the ROC curve. (A) Discriminatory performance of the full model (n=6295). (B) Comparison of ROC curves for the training data (n=5036) and the validation data (n=1259). (C) Average sensitivity, between 80%-100% specificity values. A little disparity (p=0.4) in the model's performance in prospective testing under high true negative rate. (D) Average specificity, between 80%-100% sensitivity values a little disparity (p=0.3) in the model's performance in prospective testing under ospective high true positive rate.

Assessing the discrimination of a fitted logistic model, via the ROC curve. (A) Discriminatory performance of the full model (n=6295). (B) Comparison of ROC curves for the training data (n=5036) and the validation data (n=1259). (C) Average sensitivity, between 80%-100% specificity values. A little disparity (p=0.4) in the model's performance in prospective testing under high true negative rate. (D) Average specificity, between 80%-100% sensitivity values a little disparity (p=0.3) in the model's performance in prospective testing under ospective high true positive rate.

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Background Serum carcinoembryonic antigen (CEA) is a biomarker commonly used to detect colorectal cancer. CEA levels are affected by many factors, including cardiometabolic diseases, such as cardiovascular diseases (CVDs) and diabetes. Cardiometabolic diseases and cancer share a similar pathological inflammatory pathway, which correlates with an un...

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... Previous studies have established the pathways of CMDs and the dysregulation of systemic inflammation and metabolism, as well as their effects on atherosclerotic plaques and insulin resistance (15)(16)(17). Adopting primary prevention strategies can help mitigate accelerated inflammation associated with CMDs. These strategies include avoiding smoking, reducing alcohol consumption, engaging in physical activity, consuming adequate amounts of vegetables and fruits, ensuring sufficient water intake (>2000 mL/day), and maintaining a healthy weight (18)(19)(20)(21). ...
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Background Middle-aged adults often overlook critical modifiable risk factors that contribute to the emergence of cardiometabolic diseases (CMDs), including hypertension and diabetes. Many CMDs can be alleviated by addressing these modifiable risks. However, there has been insufficient research focused on rural adults with lower levels of health literacy in this regard. The aim of this study was to explore and develop an intuitive assessment tool for predicting cardiometabolic diseases (CMDs), which can be used for health education with adults of low health literacy. Methods This was a community-based, cross-sectional study. A structured questionnaire on health-promoting habits, smoking, sleep, and physiological biomarkers was obtained via community health screening in the coastal region of Yunlin County, Taiwan. Multivariate logistic regression was used to screen for significant variables in the nomogram construction. Analysis with nonlinear restricted cubic spline was performed. Results A total of 712 participants (60.9% females) aged 40–64 years, with middle school level or lower education, were included. The average age was 55.6 years (SD=7.3), and 220 individuals (31%) had CMDs. Multivariate logistic regression analysis revealed that age, lower scores of vegetables, fruit, water, and exercise (VFWE), smoking history, sleep deprivation, and being overweight were significantly associated with CMDs. The model incorporating these modifiable risk factors demonstrated good discriminatory ability, as indicated by an area under the receiver operating characteristic curve of 0.75 (0.73–0.76). A predictive nomogram was developed that presented modifiable risk factors in a simple graphical format to facilitate the prediction of CMDs. Conclusions This study highlights a high prevalence of CMDs among middle-aged adults, along with the disregard for important risk factors that could be modified. The developed nomogram could be a practical and effective tool for community health education to enhance health literacy and prevent the progression of CMDs.
... lipids, and DNA. 2,[11][12][13][14] Furthermore, recent studies have reported CEA to be related to metabolic syndrome and visceral adiposity. 8 Moreover, Chang et al. has suggested a CEA level of ≥ 3 ng/mL for the early detection and prevention of CMDs through individualized lifestyle modifications. 2 As mentioned earlier, EAT and CEA both have inflammatory characteristics. ...
... 8 Moreover, Chang et al. has suggested a CEA level of ≥ 3 ng/mL for the early detection and prevention of CMDs through individualized lifestyle modifications. 2 As mentioned earlier, EAT and CEA both have inflammatory characteristics. 2,10 However, reports linking CEA concentration to the EAT do not exist. ...
... 8 Moreover, Chang et al. has suggested a CEA level of ≥ 3 ng/mL for the early detection and prevention of CMDs through individualized lifestyle modifications. 2 As mentioned earlier, EAT and CEA both have inflammatory characteristics. 2,10 However, reports linking CEA concentration to the EAT do not exist. Therefore, the present study aimed to investigate the possible association between EAT and CEA. ...