METHODS: A cross-sectional study was conducted with a sample of 326 patients from three tertiary care hospitals in the United Arab Emirates. The frequency and severity of urogenital symptoms, emotional and physical functioning, and treatment burden were assessed using the validated genitourinary syndrome of menopause symptoms and vaginal treatments acceptability questionnaire (GSM-SVATQ). To examine the mediating roles of emotional and physical functioning, as well as the perceived treatment burden on sexual functioning, a partial least squares-structural equation model was developed using the SmartPLS 4 Software.
RESULTS: The measurement model was successfully established. All constructs had a reliability of > 0.70 and discriminant validity of < 0.90. Emotional, physical and sexual functioning showed an adjusted R2 values of 0.377, 0.282 and 0.169, respectively.The multistep multiple mediator model revealed a full mediation effect of both emotional and physical functioning between symptom, treatment burden and sexual functioning. The model showed high predictive performance with all manifest variables showing lower mean absolute errors compared to the naiive benchmark model.
CONCLUSION: This study enhances our understanding of the relationships between urogenital symptoms, perceived treatment burden, emotional functioning, and sexual well-being. The findings emphasize the importance of addressing emotional well-being in managing urogenital symptoms and in addressing emotional factors associated with the use of vaginal treatments.
METHODS: Plasma and serum samples were collected from adults participating in four independent studies at different time points, ranging from several days up to 14 months post-SARS-CoV-2 infection. The primary outcome measure was to quantify SARS-CoV-2 antigens, including the S1 subunit of spike, full-length spike, and nucleocapsid, in participant samples. The presence of 34 commonly reported PASC symptoms during the postacute period was determined from participant surveys or chart reviews of electronic health records.
RESULTS: Of the 1569 samples analysed from 706 individuals infected with SARS-CoV-2, 21% (95% CI, 18-24%) were positive for either S1, spike, or nucleocapsid. Spike was predominantly detected, and the highest proportion of samples was spike positive (20%; 95% CI, 18-22%) between 4 and 7 months postinfection. In total, 578 participants (82%) reported at least one of the 34 PASC symptoms included in our analysis ≥1 month postinfection. Cardiopulmonary, musculoskeletal, and neurologic symptoms had the highest reported prevalence in over half of all participants, and among those participants, 43% (95% CI, 40-45%) on average were antigen-positive. Among the participants who reported no ongoing symptoms (128, 18%), antigen was detected in 28 participants (21%). The presence of antigen was associated with the presence of one or more PASC symptoms, adjusting for sex, age, time postinfection, and cohort (OR, 1.8; 95% CI, 1.4-2.2).
DISCUSSION: The findings of this multicohort study indicate that SARS-CoV-2 antigens can be detected in the blood of a substantial proportion of individuals up to 14 months after infection. While approximately one in five asymptomatic individuals was antigen-positive, roughly half of all individuals reporting ongoing cardiopulmonary, musculoskeletal, and neurologic symptoms were antigen-positive.
BACKGROUND: Clinically, MOGAD can be associated with significant disability; however, its socioeconomic consequences for adults are barely reported.
METHODS: Participants of potential working age (18-70 years old) with neurologist-diagnosed MOGAD were recruited from clinical sites in 13 countries, April 2022 to August 2023. Each participant completed a one-time survey. Regression models assessed associations with post-MOGAD (1) unemployment and (2) work hours.
RESULTS: A total of 117 participants (66.7% female), mean age 39.7 years, median disease duration 3 years (25th, 75th percentile: 1, 7) were analyzed. Employment post-MOGAD reduced from 74 (63.2%) to 57 (48.7%) participants. Participants employed pre-diagnosis reduced their work hours, on average, from 31.6 hours/week to 19.5 hours/week post-diagnosis. Residence in a high-income country was statistically significantly associated with post-diagnosis employment and higher weekly work hours. Depressed mood was associated with unemployment. MOGAD-related pain and history of myelitis were independently associated with lost work hours.
CONCLUSION: MOGAD can have significant impacts on adult employment, particularly in non-high-income countries. Depressed mood and pain are potentially modifiable factors related to socioeconomic status in MOGAD.
DESIGN: Method/Approach: The study examined 29 years of panel data from 39 Asian countries from 1995 to 2022, sourced from World Development Indicators (WDI) and the International Monetary Fund (IMF). The study constructs a green financial technology index using principal component analysis (PCA). The study utilizes an Asymmetric Panel Quantile Autoregressive Distributive Lag (A-QARDL) model with pooled mean group (PMG) specifications to explore effects that exhibit cross-sectional homogeneous in the long-run, but heterogeneous in the short-run effects.
FINDINGS: Industrialization and financial development have a strongly asymmetric impact on carbon emissions. Industrialization causes an increase in carbon emissions at various quantiles, while green FinTech plays a crucial role in mitigating these carbon emissions. Trade openness and domestic credit to the private sector also help reduce carbon emissions.
RESEARCH LIMITATIONS AND IMPLICATIONS: The study emphasizes the significance of employing green FinTech techniques and using renewable energy sources to meet sustainable industrialization and sustainability goals in Asian countries. The policy consequences include promoting environmentally friendly industrial practices, encouraging green financial investments, and boosting government financing for private sector research and development to mitigate carbon emissions.
ORIGINALITY/VALUE: The study employs robust modeling to analyze the role of green FinTech to enhance industrial sustainability. Both Industrialization and deindustrialization have an impact on economic emissions, and the potential of green FinTech's to promote sustainability contributes to the environment protection strategy.
METHODS: Inpatient utilisation of 101 private, non-specialised hospitals in Malaysia in 2014 and 2018 from the Health Informatics Centre, Ministry of Health Malaysia database was studied using paired samples t-test, analysis of variance (ANOVA), and the Pabón-Lasso model.
RESULTS: Better quantitative performance was found among larger hospitals, those with hospital accreditation, and those participating in medical tourism activities. There is a scale effect of efficiency between smaller and larger hospitals. However, when compared within respective size categories, Category 1 (small hospitals with less than 100 beds) has the highest percentage of efficient hospitals (39.3 per cent in 2014 and 35.7 per cent in 2018 in Sector 3 of the Pabón Lasso graphs).
CONCLUSION: This study has found that a higher bed occupancy rate (BOR) and longer average length of stay (ALoS) are associated with larger private hospitals, hospital accreditation, and participation in medical tourism activities in Malaysia. There is a need to expedite strategic hospitals partnership for resource optimisation and capacity pooling towards producing better performance.