METHODS: We included peer-reviewed primary research studies on the effect of music on perinatal anxiety, published in English, between January 2010 and August 2022. PubMed, Embase, Scopus, and ProQuest were searched using specific keywords, resulting in 225 studies for screening by title, abstract, and full text. Two independent reviewers screened them and assessed the quality of the included randomized controlled trials (RCTs) using Cochrane's Risk of Bias 2.0 tool (RoB2) and non-randomized controlled trial studies using the Joanna Briggs Institute Critical Appraisal tool. Due to the heterogeneity of outcome measures, the review's findings were summarized qualitatively.
RESULTS: Nine studies with 1646 pregnant women and one with 260 pregnant women and their neonates were included. Results of all studies suggest that listening to classical music reduces the anxiety levels among pregnant women, as measured by the State-Trait Anxiety Inventory (STAI). Only one study reported the beneficial effect of antenatal exposure to music on improving newborn behaviors like orientation (ES 1.13, 95% CI: 0.82-1.44, P < 0.0001) and habituation (ES 1.05, 95% CI: 0.53-1.57, P = 0.0001). The risk of bias was unclear in most of the studies.
CONCLUSIONS: Listening to classical music during the perinatal period may be an effective non-pharmacological intervention for reducing anxiety and pain and improving sleep quality and newborn behaviors. There is a need to conduct further interventional studies on the types of music provided and their effects on perinatal health outcomes.
REGISTRATION OF THE PROTOCOL: The review was prospectively registered in PROSPERO 2021 CRD42021256806.
DESIGN: A cross-sectional study.
SETTING: The study was carried out in Seremban 2, Malaysia using a self-administered questionnaire adapted from validated questionnaires of two previous studies.
PARTICIPANTS: Through opportunistic sampling, three hundred and ninety-two literate adults (above 18) residing in Seremban 2, Malaysia, participated in this study.
MAIN OUTCOME MEASURE: Knowledge, attitude, and practice scores were assessed among the participants.
RESULTS: Three hundred seventy (94.4%) respondents demonstrated satisfactory knowledge. A satisfactory attitude score was achieved by 349 (89%) respondents, while 281 (71.7%) achieved a satisfactory practice score. Better knowledge was significantly associated with college or university education (p=0.028). Female gender (p=0.011) and college or university education (p=0.043) were significantly associated with better practice (p<0.05). Significant but weak to fair correlations between knowledge, attitude and practice were observed.
CONCLUSION: Overall, there was satisfactory knowledge, attitude, and practice of face mask use among the Seremban 2 adult population in Malaysia. However, future public health education targeted toward the use of face masks requires more emphasis on proper usage and disposal to translate good knowledge into a good attitude and practice of face mask use to ensure the effectiveness in curbing the spread of infection.
FUNDING: None declared.
METHODS: The study involves conducting a global survey to fitness coaches, sports scientists, analysts, and physicians with experience in load monitoring within football. The research adheres to the principles of the Helsinki Declaration and complies with General Data Protection Regulation standards, with ethical approvals obtained from multiple Ethics Committees across various countries, including Tunisia. A consortium of professionals collaboratively crafted the survey instrument, dividing it into seven sections, each addressing specific aspects of workload monitoring in football. Survey reliability will undergo evaluation in a pilot study utilizing Cronbach's alpha and intraclass correlation coefficient. To ensure inclusivity, the survey will be translated into multiple languages, facilitating participation from diverse regions. As such, survey distribution will consider online platforms (such as social media) and email invitations, with a specific focus on engaging football clubs, federations, and professional networks. The targeted sample size will remain at 385 participants. Statistical analysis planning encompasses descriptive examination, exploration of variable relationships, hypothesis testing, and qualitative analyses of participant feedback and recommendations regarding load monitoring practices.
EXPECTED RESULTS: Expected outcomes include i) A comprehensive global overview of training and match load monitoring practices in football, ii) The identification of emerging trends, an improved understanding of training optimization processes, and iii) The development of practical recommendations to enhance player well-being and performance.
CONCLUSION: This study will contribute to the ongoing development of knowledge in the field of football workload monitoring.
MATERIALS AND METHODS: The study was a descriptive cross-sectional electronic web-based survey that was submitted on a web-based questionnaire; 183 students answered the survey, and then, the data were analyzed using SPSS.
RESULTS: This study shows that 95.6% of participants agree and strongly agree that the health volunteering experience was useful, 2.7% of the participants neither agree nor disagree, and 1.6% disagree and strongly disagree. Regarding the distribution of the participants on skills learned from volunteering experience, the largest proportion of student (36.1%) volunteers in the health sector acquired communication skills and the smallest proportion of student (14.8%) volunteers in the acquired time management skills. Regarding the disadvantages, 81.4% of the participants do not think there were any disadvantages to their previous health volunteering experience, while only 18.6% of them think there were any disadvantages to their previous health volunteering experience. Additionally, the study found that the type of the sector affects the skills acquired from health volunteering.
CONCLUSION: Research revealed that the majority considered volunteering a great experience. Volunteering increased the self-skills and practical capacities of radiology students, which proved the hypothesis.
OBJECTIVES: The objectives of this study were to identify the top differentially expressed miRNAs (DE-miRNAs) and their corresponding targets in hub gene-miRNA networks, as well as identify novel DE-miRNAs by analyzing three distinct microarray datasets. Additionally, functional enrichment analysis was performed using bioinformatics approaches. Finally, interactions between the 5 top-ranked hub genes and drugs were investigated.
METHODS: Using bioinformatics approaches, three GC profiles from the gene expression omnibus (GEO), namely gene expression omnibus series (GSE)-34526, GSE114419, and GSE137684, were analyzed. Targets of the top DE-miRNAs were predicted using the multiMiR R package, and only miRNAs with validated results were retrieved. Genes that were common between the "DE-miRNA prediction results" and the "existing tissue DE-mRNAs" were designated as differentially expressed genes (DEGs). Gene ontology (GO) and pathway enrichment analyses were implemented for DEGs. In order to identify hub genes and hub DE-miRNAs, the protein-protein interaction (PPI) network and miRNA-mRNA interaction network were constructed using Cytoscape software. The drug-gene interaction database (DGIdb) database was utilized to identify interactions between the top-ranked hub genes and drugs.
RESULTS: Out of the top 20 DE-miRNAs that were retrieved from the GSE114419 and GSE34526 microarray datasets, only 13 of them had "validated results" through the multiMiR prediction method. Among the 13 DE-miRNAs investigated, only 5, namely hsa-miR-8085, hsa-miR-548w, hsa-miR-612, hsa-miR-1470, and hsa-miR-644a, demonstrated interactions with the 10 hub genes in the hub gene-miRNA networks in our study. Except for hsa-miR-612, the other 4 DE-miRNAs, including hsa-miR-8085, hsa-miR-548w, hsa-miR-1470, and hsa-miR-644a, are novel and had not been reported in PCOS pathogenesis before. Also, GO and pathway enrichment analyses identified "pathogenic E. coli infection" in the Kyoto encyclopedia of genes and genomes (KEGG) and "regulation of Rac1 activity" in FunRich as the top pathways. The drug-hub gene interaction network identified ACTB, JUN, PTEN, KRAS, and MAPK1 as potential targets to treat PCOS with therapeutic drugs.
CONCLUSIONS: The findings from this study might assist researchers in uncovering new biomarkers and potential therapeutic drug targets in PCOS treatment.
METHODS: The dataset includes 1,009 cases and 1,009 controls, with comprehensive data on lifestyle, health-behavior, reproductive and sociodemographic factors. Different machine learning models, namely Random Forest (RF), Neural Networks (NN), Bootstrap Aggregating Classification and Regression Trees (Bagged CART), and Extreme Gradient Boosting Tree (XGBoost), were employed to analyze the data.
RESULTS: The findings highlight the significance of a chest X-ray history, deliberate weight loss, abortion history, and post-menopausal status as predictors. Factors such as second-hand smoking, lower education, menarche age (>14), occupation (employed), first delivery age (18-23), and breastfeeding duration (>42 months) were also identified as important predictors in multiple models. The RF model exhibited the highest Area Under the Curve (AUC) value of 0.9, as indicated by the Receiver Operating Characteristic (ROC) curve. Following closely was the Bagged CART model with an AUC of 0.89, while the XGBoost model achieved a slightly lower AUC of 0.78. In contrast, the NN model demonstrated the lowest AUC of 0.74. On the other hand, the RF model achieved an accuracy of 83.9% and a Kappa coefficient of 67.8% and the XGBoost, achieved a lower accuracy of 82.5% and a lower Kappa coefficient of 0.6.
CONCLUSION: This study could be beneficial for targeted preventive measures according to the main risk factors for BC among high-risk women.
MATERIAL AND METHODS: Matrix metalloproteinases (MMPs) are enzymes involved in cancer progression and are regarded as major oncotargets. Among others, MMP9 plays critical roles in tumour progression, angiogenesis, and invasion of cutaneous SCC. We aimed to determine whether the MMP9 gene is a suitable gene target for anti-cancer therapy for cutaneous SCC. We performed clustered regularly interspaced short palindromic repeat (CRISPR)-Cas9 transfection of guide RNA (gRNA) targeting the MMP9 gene into human cutaneous SCC cell line A431.
RESULTS: Following CRISPR transfection treatment, the viability (p < 0.01) and migratory activities (p < 0.0001) of in vitro cutaneous SCC cells were found to be reduced significantly. The use of quantitative polymerase chain reaction (qPCR) also revealed downregulation of the mRNA expression levels of cancer-promoting genes TGF-β, FGF, PI3K, VEGF-A, and vimentin. Direct inhibition of the MMP9 gene was shown to decrease survivability and metastasis of cutaneous SCC cell line A431.
CONCLUSIONS: Our findings provided direct evidence that MMP9 is important in the viability, proliferation, and metastasis of cutaneous SCC cells. It serves as a positive foundation for future CRISPR-based targeted anti-cancer therapies in treating skin cancer and other forms of malignancies that involve MMPs as the key determinants.
KEY POINTS: UPLC data of soil interfere with baseline drifts.BC can improve the quality of the pixel-level UPLC data.MW emerges as the most desired algorithm in improving the quality of UPLC data of soil.