• Mathiassen Herring posted an update a month ago

    BACKGROUND Suicide is a major social issue, affected by both social and psychopathological factors. This study investigated suicide risk assessment using the Minnesota Multiphasic Personality Inventory-2 Restructured Form (MMPI-2-RF). METHODS Data were collected from 7824 college students using the MMPI-2-RF. The participants were classified into high-, moderate-, and low-risk for suicide groups based on their scores on the structured Mini-International Neuropsychiatric Interview (MINI) for comparative analysis. The relationships between scores on the Restructured Clinical (RC) Scales of the MMPI-2-RF and suicide risk level were investigated using a multiple logistic regression. RESULTS Out of the 7824 participants, 964 (12.3%) were identified as being at risk of suicide. There were 553 participants considered low-risk, 312 moderate-risk, and 99 at high-risk. Suicide risk in the participants tended to increase as RC scale scores increased. Out of the nine RC scales, the Demoralization (RCd) and Negative Emoti to healthy controls, even the low-risk group showed a significant elevation in emotional factors and antisocial behaviors. While the healthy controls and those at risk of suicide differed significantly on both the Demoralization (RCd) and Negative Emotions (RC7) scales, only the Demoralization (RCd) scale appeared to be able to screen for high suicide risk.BACKGROUND Measures of linkage disequilibrium (LD) play a key role in a wide range of applications from disease association to demographic history estimation. The true population LD cannot be measured directly and instead can only be inferred from genetic samples, which are unavoidably subject to measurement error. Previous studies of r2 (a measure of LD), such as the bias due to finite sample size and its variance, were based on the special case that the true population-wise LD is zero. These results generally do not hold for non-zero values, which are more common in real genetic data. RESULTS This work generalises the estimation of r2 to all levels of LD, and for both phased and unphased data. First, we provide new formulae for the effect of finite sample size on the observed r2 values. Second, we find a new empirical formula for the variance of the observed r2, equals to 2E(1 - E)/n, where n is the diploid sample size. Third, we propose a new routine, Constrained ML, a likelihood-based method to directly estimate haplotype frequencies and r2 from diploid genotypes under Hardy-Weinberg Equilibrium. While serving the same purpose as the pre-existing Expectation-Maximisation algorithm, the new routine can have better convergence and is simpler to use. A new likelihood-ratio test is also introduced to test for the absence of a particular haplotype. Extensive simulations are run to support these findings. CONCLUSION Most inferences on LD will benefit from our new findings, from point and interval estimation to hypothesis testing. Genetic analyses utilising r2 information will become more accurate as a result.BACKGROUND Pulmonary malignant neoplasms have a high worldwide morbidity and mortality, so the study of these malignancies using microRNAs (miRNAs) has attracted great interest and enthusiasm. The aim of this study was to determine the clinical effect of hsa-microRNA-204-5p (miR-204-5p) and its underlying molecular mechanisms in non-small cell lung cancer (NSCLC). METHODS Expression of miR-204-5p was investigated by real-time quantitative PCR (RT-qPCR). After data mining from public online repositories, several integrative assessment methods, including receiver operating characteristic (ROC) curves, hazard ratios (HR) with 95% confidence intervals (95% CI), and comprehensive meta-analyses, were conducted to explore the expression and clinical utility of miR-204-5p. The potential objects regulated and controlled by miR-204-5p in the course of NSCLC were identified by estimated target prediction and analysis. The regulatory network of miR-204-5p, with its target genes and transcription factors (TFs), was structs helpful for NSCLC diagnosis. The estimated target genes and TFs contributed to the anti-oncogene effects of miR-204-5p.BACKGROUND Equity is one of the major goals of China’s new medical reforms launched in 2009. This study aimed to analyze the disequilibrium in primary health care (PHC) workforce among various economic zones in China and to compare the fairness between urban and rural areas since the implementation of the new medical reforms. METHOD According to China’s 11th Five-Year Plan, China is divided into eight economic regions. The data of this study were obtained from China Statistical Yearbook 2009-2016. The Atkinson index was used to depict the trend of PHC workforce fairness; the Gini coefficient was used to compare the fairness of workforce distribution between urban and rural areas; the health resource agglomeration degree was used to analyze the distributional equity of the workforce in the eight regions; and the Theil Index was used to compare the fairness of urban and rural workforce distribution across eight regions. GS-9973 supplier RESULT The Atkinson index indicated that the equity of the entire PHC workforce allocation her the population and geographical factors in allocation of PHC workforce, especially nurses.BACKGROUND As global populations age, governments have come to rely heavily on family carers (FCs) to care for older adults and reduce the demands made of formal health and social care systems. Under increasing pressure, sustainability of FC’s unpaid care work has become a pressing issue. Using qualitative data, this paper explores FCs’ care-related work goals, and describes how those goals do, or do not, link to technology. METHODS We employed a sequential mixed-method approach using focus groups followed by an online survey about FCs’ goals. We held 10 focus groups and recruited 25 FCs through a mix of convenience and snowball sampling strategies. Carer organizations helped us recruit 599 FCs from across Canada to complete an online survey. Participants’ responses to an open-ended question in the survey were included in our qualitative analysis. An inductive approach was employed using qualitative thematic content analysis methods to examine and interpret the resulting data. We used NVIVO 12 software for data analysis.

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