Meyerlindahl8795

Besides rod bivalents, univalent and multivalent associations (tri- and quadrivalents) were also detected. The main goal of the experiment was to develop genetically stable wheat/Triticale recombinant lines carrying chromosomes/chromatin fragments originating from the R genome of Triticale line NA-75. Introgression of rye genes into hexaploid wheat can broaden its genetic diversity, and the newly developed lines can be used in wheat breeding programs. © 2020 S. Karger AG, Basel.AIMS The aim of the current study was to develop and validate a short-form of the internet overuse screening questionnaire (IOS-Qs). METHODS A total of 571 adults were recruited from a representative, stratified, and multistage cluster sample. Among participants, 188 and 383 were used in the development and validation of the IOS-Qs, respectively. RESULTS Experts' ratings and Rasch model analyses led to the selection of 8 items from the IOS-Qs; latent-class analysis using these 8 items revealed an estimated prevalence of 8.6% (33 out of 383) of problematic internet over-users. Problematic internet over-users were positively associated with a 1-year prevalence rate of any mental disorder (OR 3.08, p = 0.008), mood disorder (OR 7.11, p = 0.003), and depressive disorder (OR 5.22, p = 0.016). The receiver operating characteristic curves identified an optimal cutoff score of 9.5 for differentiating problematic internet over-users from unproblematic internet users with 94% sensitivity and 94% specificity. CONCLUSION The results suggest that the IOS-Qs was valid, and items including social isolation were crucial to the brief distinction of at-risk internet users. Because of its brevity, the questionnaire can be effectively administered as a large-scale survey. © 2020 The Author(s). Published by S. Karger AG, Basel.PURPOSE To investigate if optical quality assessed by Optical Quality Analysis System（OQAS）is a new factor for psychological disturbance and vision related quality of life（QoL） in Chinese patients with primary open angle glaucoma (POAG). METHODS Cross-sectional study. OQAS, automated static perimetry, the Hospital Anxiety and Depression Scale (HADS) Questionnaire and the 25-item National Eye Institute Visual Function Questionnaire (NEI VFQ-25) were used to assess optical quality, vision field, psychological health and QoL in 64 POAG patients. Correlation between the OQAS parameters and QoL or psychological health was analyzed by linear regression model. RESULTS OQAS parameters, the modulation transfer function cut off frequency (MTF cutoff) and the mean OQAS values (mean OV), were significantly related to mean deviation (MD). Statistically significant correlation was also found between MTF cutoff, the mean OV and QoL in more than half of the NEI VFQ-25 subscale scores and the composite. The correlation coefficients between OQAS parameters and QoL were similar to those between MD and QoL in most of the subscale scores. HADS-Depression and HADS-Anxiety scores significantly correlated with MD in the worse eye, the composite and 3subscales of NEI VFQ-25, general health, social function and mental health, but uncorrelated with optical quality parameters measured by OQAS. CONCLUSIONS OQAS assessed optic quality is negatively related to MD and is a valid indicator for vision related QoL, but not for psychological health in our study group. OQAS might be an alternative or supplement to perimeter in POAG patients. © 2020 S. Karger AG, Basel.INTRODUCTION In this study we present a prediction model for progression from early/intermediate to advanced age-related macular degeneration within 5.9 years. OBJECTIVES To evaluate the combined role of genetic, non-genetic and phenotypic risk factors for conversion from early to late age-related macular degeneration (AMD) over five or more years. METHODS Baseline phenotypic characteristics were evaluated based on color fundus photography, spectral-domain optical coherence tomography and infrared images. Genotyping for 36 single nucleotide polymorphisms and systemic lipid and complement measurements were performed. Multivariable backward logistic regression resulted in a final prediction model. RESULTS AND CONCLUSIONS During a mean of 5.9 years follow-up, 22.4% (n=52) of the patients (n=232) showed progression to late AMD. The multivariable prediction model included age, CFH variant rs1061170, pigment abnormalities, drusenoid pigment epithelial detachment (dPED), and hyperreflective foci (HRF). The model showed an area under the curve of 0.969 (95% Confidence Interval 0.948-0.990) and adequate calibration (Hosmer-Lemeshow P= 0.797). In addition to advanced age and carrying a CFH variant, pigment abnormalities, dPED, and HRF are relevant imaging biomarkers for conversion to late AMD. this website In clinical routine, an intensified monitoring of patients with high risk phenotypic profile may be suitable for early detection of conversion to late AMD. © 2020 S. Karger AG, Basel.INTRODUCTION Evaluation of total energy expenditure (TEE) and physical activity level (PAL) is important for treatment of patients with type 2 diabetes mellitus (T2DM). However, the validity of accelerometers (ACC) and physical activity questionnaires (PAQ) for estimating TEE and PAL remains unknown in elderly populations with T2DM. We evaluated the accuracy of TEE and PAL results estimated by an ACC (TEEACC and PALACC) and a PAQ (TEEPAQ and PALPAQ) in elderly patients with T2DM. METHODS Fifty-one elderly patients with T2DM (aged 61-79 years) participated in this study. TEEACC was calculated with PALACC using a triaxial ACC (Active style Pro HJA-750c) over 2 weeks and predicted basal metabolic rate (BMR) by Ganpule's equation. TEEPAQ was estimated using predicted BMR and the PALPAQ from the -Japan Public Health Center Study-Long questionnaire. We compared the results to TEEDLW measured with the doubly labeled water (DLW) method and PALDLW calculated with BMR using indirect calorimetry. RESULTS TEEDLW was 2,16TEE may be improved by the better equation for predicting BMR. © 2020 S. Karger AG, Basel.At the beginning of the 21st century, some pioneer studies provided evidence of the existence of a site-specific human milk microbiota. Hygienically collected milk samples from healthy women contain a relatively low bacterial load, which consist mostly of Staphylococcus, Streptococcus, lactic acid bacteria, and other gram-positive bacteria (Corynebacterium, Propionibacterium, and Bifidobacterium). DNA from strict anaerobic bacteria is also detected in human milk samples. The origin of human milk bacteria still remains largely unknown. Although the infant's oral cavity and maternal skin may provide microbes to milk, selected bacteria of the maternal digestive microbiota may access the mammary glands through oral- and enteromammary pathways involving interactions with immune cells. In addition, when milk is collected using external devices, such as breast pumps, some microorganisms may arise from unhygienic handling as well as from the water used to clean and rinse the devices, for example. The human milk microbiota has a wide spectrum of potential uses.