Excessive accumulation of body fat (BF) promotes obesity, whilst posing a significant health hazard. There being no agreed, optimal quantifying methods, application of BF variable in clinical practice is not deemed an effective assessment option. The study, involving 4,735 patients (33.6% men), aged 45–64, aimed to identify optimal cut-off values for anthropometric indicators of obesity to evaluate cardiometabolic risk. A minimum P-value approach was applied to calculate the cut-offs for BF%. Threshold values for body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), and waist-to-height (WHTR) ratio, facilitating optimal differentiation of cardiometabolic risk, were based on BF%, expressed as a binary classifier. The newly estimated cut-off values for predicting cardiometabolic risk, based on BMI, were lower than the referential obesity thresholds, whereas the threshold values of WC, WHR, and WHTR were higher. Apart from dyslipidemia, the odds of cardiometabolic disorders were higher, when the anthropometric indicators under study exceeded the cut-off points in both sexes. The proposed cut-offs proved instrumental in predicting cardiometabolic risk, whilst highlighting diagnostic and clinical potential of BF%, whereas BMI boasted the highest predictive potential. Cardiometabolic risk also proved significantly higher even in the overweight patients.
Background: Reliable obesity assessment is essential in evaluating the risk of cardiovascular risk factors (CRFs). Non-availability of clearly defined cutoffs for body fat percentage (BF%), as well as a widespread application of surrogate measures for obesity assessment, may result in incorrect prediction of cardio-metabolic risk. Purpose: The study aimed to determine optimal cutoff points for BF%, with a view of predicting the CRFs related to obesity. Patients and Methods: The study involved 4735 (33.6% of men) individuals, the Polish-Norwegian Study (PONS) participants, aged 45-64. BF% was measured with the aid of bioelectrical impedance analysis (BIA) method. The gender-specific cutoffs of BF% were found with respect to at least one CRF. A P-value approach, and receiver operating characteristic curve analyses were pursued for BF% cutoffs , which optimally differentiated normal from the risk groups. The associations between BF% and CRFs were determined by logistic regression models. Results: The cutoffs for BF% were established as 25.8% for men and 37.1% for women. With the exception of dyslipidemia, in men and women whose BF% was above the cutoffs , the odds for developing CRFs ranged 2-4 times higher than those whose BF% was below the cutoffs. Conclusion: Controlling BF% below the thresholds indicating an increased health hazard may be instrumental in appreciably reducing overall exposure to developing cardiometabolic risk.
ObjectiveThe study was designed to address the following three key areas, that is, (1) evaluate overall level of physical activity in the residents of a mid-sized, Central-European city, (2) compliance level with WHO’s recommendations on physical activity in leisure time and (3) actual impact of select socioeconomic factors on the physical activity level within the study population.MethodsAssessment of the source data collected for 4619 participants (1532 men and 3087 women, aged 45–65 years; mean age 56.41±5.31 years) was completed. Three levels of physical activity, and compliance level with pertinent WHO recommendations was evaluated, based on International Physical Activity Questionnaire (long form). Multilevel logistic regression models of socioeconomic factors associated with moderate-level, high-level physical activity, and WHO recommendations were developed.ResultsData analyses revealed that 6.19% of the study participants (n=286) engaged in low-level physical activity, 48.86%—in moderate-level activity, while high-level activity was reported in 44.94% of them. Compliance with pertinent WHO recommendations was higher in men aged 44–55 years, boasting upper-level education, living without a partner and in the persons with a net income over €1140 per household.ConclusionsOverall level of physical activity in the residents of a mid-sized, Central-European city was established as moderate. Pertinent WHO recommendations on physical activity were met by 4.2% of the subjects only.
Systemic inflammation and disease activity seem to contribute to excessive prevalence of cardiovascular (CV) diseases (CVDs) in patients with rheumatoid arthritis (RA). The objective of the study was to assess chosen CV parameters in RA patients who have continuous low disease activity. The study group consisted of 70 RA patients without known CVD and 33 healthy controls, of a comparable age. All RA patients had continued low disease activity (DAS28 ≤ 3.2) from 2 to 7 years. The groups were assessed for: blood pressure, serum amino-terminal pro-brain natriuretic peptide (NT-proBNP), carotid intima media thickness (cIMT), electrocardiography (ECG), ejection fraction (EJ) and diastolic dysfunction (E/A ratio) in echocardiography. In RA patients in comparison with controls, significantly greater values of cIMT [0.83 (0.21) vs 0.62 (0.1) mm, p < 0.001] were found, as well as higher incidence of atherosclerotic plaques [43 (61.4%) vs 10 (30.3%), p = 0.003], prolonged QTc interval [439.6 (23.7) vs 414.0 (27.9) ms, p < 0.001]. High or very high Systemic Coronary Risk Evaluation (SCORE) was found in 32.9% of patients with RA and increased serum NT-proBNP in 71.4%. The mean values of CV parameters (cIMT, E/A, NT-proBNP, SCORE) were associated with age, disease duration, rheumatoid factor (RF-IgM), erythrocyte sedimentation rate (ESR). The results of our study indicate, that RA with continued low disease activity is associated with atherosclerosis and heart dysfunction. Strong relationships were found between CV parameters and patients’ age, disease duration. Deterioration of CV parameters was associated with higher DAS28, ESR, RF-IgM concentration and bone erosions.
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