Prevalence of Knee Pain and Its Relation to Depression, Anxiety, and Health-Related Quality of Life Among Maintenance Hemodialysis Patients.

: Knee pain in hemodialysis (HD) patients might affect health-related quality of life (HRQoL) and may be related to anxiety and depressive symptoms. The aim of this study was to assess the prevalence of knee pain in chronic HD patients and to determine its relationship with anxiety, depression, and HRQoL, : This multicenter cross-sectional study was carried out on chronic HD patients. Sociodemographic, clinical, and therapeutic data were collected.

Self-Identified Employment Challenges for Young Adults with a Cleft Lip and Palate: A Qualitative Exploration.

As individuals with a cleft lip and palate (CLP) transition into adulthood, they face unique employment challenges related to income, job stability, and fewer career options. This study explored these challenges through two focus group discussions with 19 participants (aged 21-38), primarily women, to understand their employment experiences. Thematic analysis revealed the following three main themes: (1) physical factors, (2) psychosocial factors, and (3) overcoming employment challenges, with nine sub-themes including speech, hearing, appearance, health, childhood experiences, societal expectations, lack of self-confidence, communication improvement, and self-esteem building.

The impact of virtual reality on maternal anxiety, satisfaction, and fetal outcomes among pregnant women undergoing non-stress tests: A systematic review and meta-analysis of randomized controlled trials.

We aimed to investigate the impact of virtual reality (VR) on maternal anxiety, satisfaction, and fetal physiological parameters during non-stress test (NST) in pregnant women. We conducted an extensive search across numerous databases to identify eligible studies from inception to April 2024. Researchers included randomized trials that compared VR intervention during NSTs in the third trimester with control groups.

Cotton production areas are at high risk of invasion by Amrasca biguttula (Ishida) (Cicadellidae: Hemiptera): potential distribution under climate change.

Background: The cotton jassid, Amrasca biguttula, a dangerous and polyphagous pest, has recently invaded the Middle East, Africa and South America, raising concerns about the future of cotton and other food crops including okra, eggplant and potato. However, its potential distribution remains largely unknown, posing a challenge in developing effective phytosanitary strategies. We used an ensemble model of six machine-learning algorithms including random forest, maxent, support vector machines, classification and regression tree, generalized linear model and boosted regression trees to forecast the potential distribution of A.