Background: The evaluation of body composition is an essential parameter for preventing obesity and sarcopenic obesity, which are prognostic factors in breast cancer. This study aims to validate the bioelectrical impedance analysis (BIA) of women who are breast cancer survivors by using the dual‐energy x‐ray absorptiometry (DXA) measurement method.Methods: This validation study included 104 women without metastasis between 32 and 72 years old (mean 47.03 ± 8.59) whose treatment was completed 6 months prior. Body composition analysis was performed sequentially using both measurements and when participants were hungry.Results: Meaningful differences were found in fat‐free mass (FFM) (BIA: 46.57 ± 5.54 kg; DXA: 41.06 ± 5.11 kg), body fat percentage (%BF) (BIA: 34.28% ± 6.24%; DXA: 43.91% ± 5.58%), body fat mass (FM) (BIA: 25.37 ± 8.84 kg; DXA: 31.24 ± 9.09 kg), and lean soft tissue mass (LSTM) (BIA: 4.42 ± 5.66 kg; DXA: 38.75 ± 4.98 kg) (P < 0.001). Powerful associations for body FM and strong associations for other parameters were seen. A constant and/or proportional error was found between the two devices within the direction of strong and solid components. Compared with DXA, the BIA measurement gives a lower estimate of %BF and FM and a higher estimate of LSTM and FFM.Conclusions: By the mathematical relationship between the two measurement methods, it seems possible to adapt the body composition parameters obtained from BIA of patients with breast cancer to DXA results. In the future, there will be a need to evaluate these two devices with more extensive studies.

Polycystic ovary syndrome (PCOS) is one of the most frequent endocrine illnesses, often accompanied by visceral adiposity and metabolic syndrome (MetS). Visceral adiposity is an accurate predictor of MetS and cardiometabolic risk. This study aims to evaluate different anthropometric indices that can be used in PCOS and MetS risk assessment. A total of 66 women with PCOS (50%) and 66 controls (50%) were included, and clinical and biochemical parameters were evaluated. The body mass index (BMI), body shape index (ABSI), body roundness index (BRI), dysfunctional adiposity index (DAI), lipid accumulation (LAP) index, and visceral adiposity index (VAI) were calculated. The means of all indices were higher in the PCOS group (p < 0.05). The marker with the lowest discriminatory ability for PCOS and MetS was ABSI (AUC = 0.762 and AUC = 0.714, respectively, p = 0.000). According to the multivariate logistic regression model, the VAI and WC are strong predictors of PCOS (AUC, 98%; accuracy, 92%; sensitivity, 92%; and specificity, 91%), and WC, LAP index, and BRI are strong predictors of MetS (AUC, 0.95%; accuracy, 86%; sensitivity, 83%; and specificity, 88%). The use of different anthropometric indices in the detection of PCOS and MetS may allow for early diagnosis and treatment, and are simple and cost-effective.

Health literacy (HL) level is related to promotion of health, improved health behaviors, and early diagnosis of diseases, as well as the appropriate use of health services. Human papillomavirus (HPV) vaccination is the primary method of protection against cervical cancer and recommended for women aged 9 to 27. This study aims to assess the university students’ knowledge about HPV and the association between HL and HPV vaccination. In this cross-sectional and descriptive study, an electronic survey was used. Demographic characteristics and anthropometric measurements of the participants were questioned. HPV Knowledge Scale (HPV-KS) and Turkish Health Literacy Scale (THLS-32) were used to evaluate HPV knowledge and HL. Statistical analyzes were performed with SPSS version 26. A total of 361 university students (74% women), aged 21.98 ± 4.72 years, were included in the study. About 52% of the participants were health sciences students. The total THLS-32 score was 34.68 ± 9.37 (95% CI = 33.71–35.65), and the total adequate/excellent HL level was 51%. The mean HPV-KS score of the participants was 10.28 ± 8.15 (95% CI = 9.44–11.12) of a possible 35. Health sciences students had higher rates of HPV awareness (78% vs 65%; P = .007). General HPV knowledge level was significantly better among women (P < .001), >20 years (P = .002), and those with a family history of cancer (P < .001) and significantly lower among students at prep or first year of school (P < .001). There was a weak, positive relation between THLS-32 and HPV-KS score (R = 0.136; P = .01). Participants with higher levels of HPV knowledge (P = .034) and total HPV-KS score (P = .025) were statistically significantly higher in students with adequate/excellent HL. Our results reveal that knowledge about HPV vaccination is closely related to HL levels. Educational interventions on HL may be considered to increase HPV vaccination rates.

Considering the increasing prevalence of diabetes, we aimed to evaluate the risk of diabetes in our sample and its relationship with sociodemographic and nutrition-related factors. We conducted the study in Afyonkarahisar province of Turkiye with participants aged 18–65 years. In this face-to-face study, we used a questionnaire on sociodemographic information and general dietary habits and the FINDRISC screening tool. We also recorded participants’ 24-hour food recall and assessed anthropometric measurements. We analyzed epidemiological data using binary logistic regression models to assess possible risk factors associated with the presence of diabetes risk. Overall, this study included 3,990 participants, 50.03% (n = 1996) and 49.97% (n = 1994) of whom were males and females, respectively. The FINDRISC score was higher in females (p = 0.001), married individuals (p < 0.001), those with lower education levels (p < 0.001), and participants diagnosed with the disease by a doctor (p < 0.001). Additionally, having a body mass index (BMI) of > 30 kg/m2 increased the risk by 7.33 folds compared with having a BMI of < 25 kg/m2. Significant but very low correlation coefficients were found between main meal consumption, energy, lipid and iron intake and diabetes risk (p < 0.001). Our findings suggest that increasing age, increasing BMI, lower education level, and having a disease diagnosis can be significant risk factors for diabetes. However, more studies are needed to clarify risk factors, especially those related to nutrition.

This study investigates the outcomes of virtual nutritional counseling (VNC) for oncology patients during the Covid-19 pandemic. Our study evaluated the nutritional status data of cancer patients at the baseline and after VNC. An oncology dietitian evaluated the patients by video calling each patient via WhatsApp and sent an individual nutrition diet plan and recommendations via e-mail. Patient-Generated Subjective Global Assessment (PG-SGA) was used as a screening and evaluation tool to assess nutritional status. A total of 157 patients with a mean age of 55.8 ± 14.7 ( r = 19–89) were included in the study. Researchers detected at least one nutrition-related sign in 77.7% of patients. After the VNC and based on the final PG-SGA assessments, 62.2% of the patients whose baseline PG-SGA Score-B improved to Score-A, 12.5% with a baseline PG-SGA Score-C improved to Score-A and 54.2% with a baseline Score-C improved to a Score-B ( χ² = 55,000, P < 0.001). Based on the number of VNCs, the improvement in malnutrition status following two sessions and three or more sessions was found to be 17.6% and 35.7%, respectively ( P < 0.001). Our results confirm that VNC can improve the nutritional status of cancer patients. Hence, nutritional counseling should be an integral part of oncological treatment.