Evaluation of Factors Affecting Hearing Aid Use in Children.

Objective: The purpose of this study was to determine the factors affecting hearing aid use in children and investigate how these factors affected their subjective auditory performance. Methods: The study was carried out with 34 children aged three to six years who had mild or moderate sensorineural hearing loss and had used a bilateral hearing aid for at least six months. The daily hearing aid usage times of children were collected with the help of data logging software. Parent-child interactions were assessed with the Maternal Behavior Rating Scale (MBRS) and Child Behavior Rating Scale (CBRS) scores. To assess the parents' levels of knowledge about hearing devices, the Hearing Aid Awareness Question Form for Parents, which was prepared by the researchers, was used. Finally, to evaluate the subjective hearing performance of the children, the Parents' Evaluation of Aural/Oral Performance of Children (PEACH) survey was implemented. Results: Strong and significant correlations were found between the MBRS and CBRS scores, the results obtained from some questions in the Hearing Aid Awareness Question Form for Parents, the overall PEACH score, the QUIET subscale score, and the NOISE subscale score (p<0.001). According to the multivariate linear regression analyses, it was observed that the use of the pediatric clip hearing aids holder (question 17) had a significant effect in decreasing both the overall PEACH score (ß=-3.07, p=0.008) and the PEACH-NOISE subscale score (ß=-1.88, p=0.012). A unit increase in the score given to question 24 of the Hearing Aid Awareness Question Form for Parents (i.e., using the hearing aids longer) caused a 2.35-fold increase in the PEACH-NOISE subscale score, a 1.74-fold increase in the PEACH-QUIET subscale score, and a 4.06-fold increase in the overall PEACH score. Conclusion: Parent-child interaction and parents' knowledge about hearing aid use are important factors affecting hearing aid use in children. These factors also affect the children's subjective auditory performance. Parents should be given detailed information about hearing aid use and be more sensitive and responsive in their interactions with their children.

Validity and Reliability of Turkish Version of the Auditory Behavior in Everyday Life Questionnaire.

PURPOSE: This study aimed to investigate the validity and reliability of the Turkish version of the Auditory Behavior in Everyday Life (ABEL) questionnaire. METHOD: The ABEL questionnaire was translated into Turkish using the "back-translation" method. The study included 130 parents of children with cochlear implantation, and 126 parents of children with typical hearing were included as a control group. In the study group, there were 62 unilateral and 68 bilateral cochlear implant (CI) users. The age at implantation ranged from 1 to 10 years, as they have substantial auditory skills. The participants' parents completed the ABEL individually, and 73 parents (28, study group; 45, control group) completed the ABEL again for test-retest reliability. Construct validity was tested using confirmatory factor analysis (CFA), and internal consistency was tested using Cronbach's alpha. Spearman's correlation test was used to assess the external validity of the total and all subscales of the ABEL and the Meaningful Auditory Integration Scale (MAIS). Test-retest reliability was measured using the intraclass correlation coefficient. RESULTS: The Cronbach's α values for subscales ranged from .67 to .89, and the value was .93 (excellent) for the overall scale. External validity analyses showed moderate to strong correlations between the total and subscale scores of the ABEL and the MAIS, indicating high external validity. According to the CFA findings, the construct validity of the Turkish version of the ABEL was satisfactory. For the three-factor structure, the goodness-of-fit indices revealed a good fit, and only the normed fit index revealed an acceptable fit. CONCLUSION: The Turkish version of the ABEL is a reliable and valid assessment tool for children with CIs.

Can omentin-1 be a prognostic marker in surgical intensive care patients?

Background/aim: A member of the adipokine family, omentin-1 is selectively secreted from visceral fat tissue and the omentum. It has been shown that omentin-1 is involved in the pathogenesis of certain diseases and can be used as a prognostic marker. This study first investigated the prognostic significance of omentin-1 in surgical intensive care patients. In addition, the relationship between omentin-1 and laboratory and clinical parameters commonly used in intensive care units (ICUs) was evaluated. Materials and methods: One hundred and fifty-four patients hospitalized in the surgical ICU were included in the study. Blood samples for omentin-1 were collected from the patients displaying clinical condition changes. Changes in omentin-1 levels were observed during the hospital stay of the patients. A total of 423 blood samples were evaluated. Omentin-1 levels were compared to the laboratory parameters routinely monitored in the ICU and the prognostic significance of omentin-1 for surgical intensive care patients was investigated. Results: The median APACHE II score of all patients was (median-IQR, 8.0­6.0 ng/mL). Omentin-1 levels of the alive patients in the ICU (median-IQR, 339.04­407.68 ng/mL) were significantly higher compared to dead patients (median-IQR, 166.40­363.60 ng/mL). Omentin-1 levels were higher in nonsepsis patients compared to the levels of the patients in sepsis and septic shock (p < 0.001). Omentin-1 values were negatively correlated with the C-reactive protein and procalcitonin levels, body temperature, and the SOFA (sequential organ failure assessment score) scores and they were positively correlated with albumin, prealbumin, and glucose levels. Conclusion: Omentin-1 may play a role in the complex constructs of inflammation and metabolic events in intensive care patients. Reduced omentin-1 levels in surgical intensive care patients were associated with poor prognosis and increased mortality.

Characterization of gut microbiota in polycystic ovary syndrome: Findings from a lean population.

BACKGROUND: Limited available animal and human data suggest an association between dysbiosis of gut microbiota and PCOS. We aimed to determine whether gut microbiota in lean women with PCOS shows any alterations compared to healthy women. MATERIALS AND METHODS: Twenty-four lean patients with PCOS phenotype A according to the Rotterdam 2003 diagnostic criteria and 22 BMI-matched healthy women were included in this study. Anthropometric, hormonal and biochemical measurements were carried out in all participants. 16S rRNA gene V3-V4 region amplicon sequencing was performed on stool samples. Preprocessing of the raw data was performed using QIIME, and both QIIME and R packages were used for microbiome analysis. RESULTS: Bacterial richness and diversity did not show a significant difference between patients and controls. Beta diversity was similar between the groups. However, Erysipelotrichaceae, Proteobacteria, Gammaproteobacteria, Enterobacteriaceae, Planococcaceae, Gemmules and Bacillales were significantly abundant in PCOS group according to LEfSe analysis. Clostridium cluster XVII showed increased abundance in patient group, while Clostridium sensustricto and Roseburia were decreased compared to controls. Random forest prediction analysis revealed Clostridium cluster XIVb as the most discriminative feature of patient group and Roseburia for healthy controls. Testosterone and androstenedione were negatively correlated with alpha and phylogenetic diversity. CONCLUSIONS: Our results suggest that gut microbiome of lean PCOS patients with full phenotype shows compositional alterations with similar bacterial richness and diversity compared to controls and that hyperandrogenism is associated with dysbiosis.

Social media usage and health promoting lifestyle in profile related socio-demographic factors in Turkey.

Background: Social media represents a revolutionary new trend that offers opportunities for and threats toward modifying health behaviours. Although social media has considerable health promotion and education tools, this article summarizes the relationship between the health promoting lifestyle and Facebook usage, as Facebook is one of the most popular tools in social media. Methods: We carried out a cross-sectional, descriptive study with 423 Facebook users living in Ankara, Turkey. Nonlinear canonical correlation analysis (OVERALS) was used to describe the complex links between health behaviours, social media usage and demographic characteristics. Results: In this study, a two-dimensional solution with an actual fit measure equal to 0.958was found, and this solution can be interpreted as about 48% of the explained variance. This two-dimensional result shows the relationships and differences between healthy lifestyle subdimensions, social media usage and some demographic characteristics. Conclusion: Using OVERALS, we found evidences supporting associations among social media use, health promoting lifestyle and socio-demographic factors. Further, the complex correlations among these variables were interpreted.

Apoptosis Inhibitor of Macrophage, Monocyte Chemotactic Protein-1, and C-Reactive Protein Levels Are Increased in Patients with Metabolic Syndrome: A Pilot Study.

Background: Apoptosis inhibitor of macrophage (AIM) and monocyte chemotactic protein-1 (MCP-1) are molecules that cause migration of M1 macrophages to visceral adipocytes, which is the first step in development of metabolic syndrome. The aim of this study is to evaluate the status of AIM and MCP-1 in metabolic syndrome and to investigate their use as biomarkers. Methods: Forty metabolic syndrome patients and 40 healthy individuals were enrolled in the study. Serum AIM, MCP-1, and C-reactive protein (CRP) levels were measured by enzyme-linked immunosorbent assay. Results: AIM, MCP-1, and CRP levels were significantly higher in the metabolic syndrome group (P < 0.01, P < 0.01, and P < 0.05, respectively). There was a positive correlation of serum AIM, MCP-1, and CRP levels with waist circumference (r = 0.480, r = 0.663, and r = 0.418, respectively; P < 0.01). Receiver operating characteristic (ROC) curve analyses revealed AIM, MCP-1, and CRP cutoff points as 2383.7 ng/mL, 172.8 pg/mL, and 0.366 mg/dL, which could be used in the diagnosis of metabolic syndrome with highest sensitivity and specificity. In the logistic regression model, including age, AIM, CRP, and MCP-1 as covariates, having serum AIM and CRP levels above cutoffs were significant independent predictors for metabolic syndrome (odds ratios 13.8 and 21.3), whereas the serum MCP-1 level was not a significant independent predictor, although the odds ratio was 2.6 (P = 0.193). Conclusions: These results suggest that AIM and MCP-1 may play a role in the pathogenesis of metabolic syndrome. AIM and CRP levels may be used as biomarkers in the diagnosis of metabolic syndrome. Although MCP-1 is not an independent predictor, its elevation in metabolic syndrome is noteworthy, which warrants further analyses in larger groups.

Prevalence of Metabolic Syndrome and Its Relation to Physical Activity and Nutrition in Azerbaijan.

BACKGROUND: Metabolic syndrome (MetS) is an important public health concern associated with an increased risk for cardiovascular disease and type 2 diabetes. Despite its global significance, the prevalence of MetS in Azerbaijan is unknown. The purpose of this study was to examine the prevalence of MetS and its relation to physical activity (PA) and nutrition in a representative sample of Azerbaijani adults. METHODS: The study included 288 adults (159 women and 129 men), 20 years of age and older, from Guba, Azerbaijan recruited between January and April 2016 by random sampling in line with gender and age distribution. Revised National Cholesterol Education Program-Adult Treatment Panel III (NCEP ATP III) criteria were used to define MetS and prevalence estimates of each individual component were determined. PA and food consumption were assessed with validated questionnaires. RESULTS: Overall prevalence of MetS was 28.4%. Abdominal obesity was the most common individual component (49% and 85.4% in whole population and in those with MetS, respectively), and it was the only component more common in women than men in the whole population and among those with MetS (P < 0.05 for both). The odds ratio for having MetS was 0.56 (95% confidence interval, 0.34-0.95) in moderate-high PA group compared with low PA group, suggesting a reduced risk of MetS with increased PA. Food consumption did not show a difference in participants with and without MetS. CONCLUSIONS: MetS in Azerbaijan is common and associated with low PA. Preventive measures should be taken to address this public health problem and related risk factors in the country.

The Clustering of World Countries Regarding Causes of Death and Health Risk Factors.

BACKGROUND: We aimed to determine how many clusters, WHO member countries would be grouped based on the causal rates of disease-specific deaths and preventable risk factors, and evaluated the cluster memberships using some sociodemographic and socioeconomic factors. METHODS: We constructed a dataset relating to 146 WHO countries using reports and some official websites. An explanatory factor analysis was implemented to reveal the underlying patterns of the dataset. The Ward Hierarchical clustering method and gap statistical analyses were used to group countries that have similar causes of death. Clusters were then compared using subgroup analysis based on some socioeconomic and sociodemographic indicators. RESULTS: We divided 146 countries into six meaningful clusters. In a comparative analysis, the differences between clusters were found to be statistically significant according to disease-specific causes of death, risk factors, socioeconomic, and sociodemographic indicators (P<0.001). CONCLUSION: Income levels, expenditure rates on health, educational levels, and causes of death in a country are directly proportional to one another. Furthermore, it was surprising that the country clusters regarding causes of death and health risk factors showed regional distributions.

Determining Cutoff Point of Ensemble Trees Based on Sample Size in Predicting Clinical Dose with DNA Microarray Data.

Background/Aim. Evaluating the success of dose prediction based on genetic or clinical data has substantially advanced recently. The aim of this study is to predict various clinical dose values from DNA gene expression datasets using data mining techniques. Materials and Methods. Eleven real gene expression datasets containing dose values were included. First, important genes for dose prediction were selected using iterative sure independence screening. Then, the performances of regression trees (RTs), support vector regression (SVR), RT bagging, SVR bagging, and RT boosting were examined. Results. The results demonstrated that a regression-based feature selection method substantially reduced the number of irrelevant genes from raw datasets. Overall, the best prediction performance in nine of 11 datasets was achieved using SVR; the second most accurate performance was provided using a gradient-boosting machine (GBM). Conclusion. Analysis of various dose values based on microarray gene expression data identified common genes found in our study and the referenced studies. According to our findings, SVR and GBM can be good predictors of dose-gene datasets. Another result of the study was to identify the sample size of n = 25 as a cutoff point for RT bagging to outperform a single RT.