Background: According to the World Health Organization, by the end of 2020, an estimated 7.8 million people was living with breast cancer diagnosed between 2015 and 2020; in Saudi Arabia, more than fifty percent of cancer cases are detected in late stages, which results in increased mortality rates and reduces the chances of remission. Breast cancer screening using mammography in women fifty years and older worldwide and in women forty years and older in Saudi Arabia shows a significant decrease in morbidity and mortality. However, screening rates are not satisfactory and require further investigation. Methods: This cross-sectional study included women aged 40 years and older. Data was collected through an online survey distributed via social media platforms to all regions of Saudi Arabia. Chi-square and Fisher’s exact tests were used to examine the difference in the distribution of study variables among women who had received breast screening and those who had not. A logistic regression model was used to estimate the risk of not having breast cancer screening. Results: A total of 973 participants completed the survey. Among respondents, 476 (48.9%) had been screened at least once in their lifetime. The main motivators for screening were: receiving an advice from a physician (41.8%), interest in early detection (39.8%), and receiving free mammography (29.7%). On the other hand, the main barriers to receiving breast cancer screening were: finding screening unnecessary (24.2%), believing screening to be painful (22.1%), and fearing abnormal results (18.6%). Conclusion: We found that nearly half of the targeted screening group had never received mammography screening. These results warrant urgent attention, as early detection is key to better outcomes. Our study’s results aid in better understanding the public’s points of view and inform interventions to improve breast cancer.

Noise-induced hearing loss (NIHL) is a common occupational hazard and a major cause of deafness among airport workers. However, few studies have been conducted to investigate the various risk factors related to hearing loss. Purpose: the purpose of this study was to measure the prevalence and risk factors of NIHL among Muscat International Airport airside workers. Method: Their daily noise exposure level at the airport was measured, and the time-weighted average (TWA) was calculated for each airside department. A cross-sectional study design involving 312 workers from the eight departments of the airport was chosen and the prevalence of NIHL among workers was assessed. The study participants then completed a self-administered questionnaire that covered their socio-demographic characteristics, occupational exposure history and the health-related risk factors of NIHL. Results: The TWA recorded for the workers was above the accepted limit in some departments, namely, cabin appearance, ramp, line maintenance and hangar. The prevalence of NIHL among participants was 21.79% (n = 68). Of these 68 participants with NIHL, 22.30% were exposed to job-related high noise levels. NIHL was common among participants aged 40 or above (57.35%, n = 39) and high school degree holders (29.60%, n = 29), as well as those who were exposed to higher noise levels (84.89%, n = 191) or who did not wear their hearing protection devices (HPDs) regularly (53.65%, n = 125). Conclusion: around a quarter of our study participants who were exposed to high noise levels suffer from NIHL.

Purpose: During the coronavirus disease 2019 (COVID-19) pandemic quarantine, university students were under various types of stressors, including the exams period, which might have affected their quality and quantity of sleep, and consequently, their quality of life. This study aimed to investigate the pattern and predictors of nightmares among university students and coinvestigate the presence of other types of sleep disturbances, mental disorders, and quarantine-related stressors. Methods: This cross-sectional study included 368 university students who answered a self-completed questionnaire covering their sociodemographic features, nightmare indicators, and associated quarantine stressors. Additionally, sleep disturbances were measured using the Generalized Sleep Disturbance Scale (GSDS), anxiety using the Generalized Anxiety Disorder 2 scale, and depression using the Patient Health Questionnaire-2. Results: The participants’ mean age was 20.4 ± 1.6 years, and male participants represented 35.9% of the sample. Nightmares were experienced by 117 (31.8%) of the participants, of whom 44.4% had new-onset nightmares. The mean GSDS was 45.0 ± 14.9 (min. = 12, max. = 130). This value is associated with elevated odds of the following outcomes: the presence of nightmares (odds ratio [OR] = 1.8; confidence interval [CI] 95% = 1.1–3.0); new-onset nightmares at the time of pandemic (OR = 2.6; CI 95% = 1.3–5.5); and anxiety (OR = 1.74; CI 95% = 1.0–2.9). The presence of nightmares elevated the score of GSDS by 11.3 points (S.E. = 1.6, p < 0.001), elevated the odds of anxiety by 4.1 (CI 95% = 2.5–6.8), and depression by 2.1 (CI 95% = 1.3–3.4). Conclusions: Stressors resulting from both the exams period and the fact that it was conducted during COVID-19 quarantine increased the rate and affected the pattern of nightmares. These stressors also led to other sleep disturbances and mental disorders that were significantly more prevalent among females.

Haemoglobin A1C (HbA1c) is fundamental in monitoring glycaemic control during pregnancy. However, several conditions could affect this test’s accuracy, including iron deficiency anaemia (IDA). Hence, this systematic review delves into the underexplored connection between IDA, iron replacement therapy (IRT), and haemoglobin A1C (HbA1c) during pregnancy. An electronic search of the Cochrane, MEDLINE, and Embase databases was conducted by six authors. From a comprehensive search strategy, 968 records were obtained. After applying the inclusion and exclusion criteria, seven studies were included, comprising 365 women selected for analysis. Six studies indicated a positive correlation between IDA and HbA1c levels, while one found no correlation. The average HbA1c level of the included studies in pregnant women was 5.64%. In comparison, it was found that non-pregnant women had lower HbA1c levels. Among the included studies, the mean HbA1c levels decreased from 5.1% to 4.89% after treating pregnant women with IRT. The review emphasises the complexity of interpreting HbA1c levels in pregnant women with IDA, highlighting the influence of pregnancy-induced physiological changes. In addition, this suggests that HbA1c should not be the sole criterion for diabetes management in pregnant women with IDA. Future research should focus on alternative glycaemic monitoring methods unaffected by IDA.

Introduction: Falls and subsequent fractures represent a major public health concern among older adults. While fall prevention interventions have demonstrated efficacy in reducing falls, their impact on fracture outcomes remains unclear. Methods: We conducted a systematic review and meta-analysis following PRISMA 2020 guidelines. We searched multiple databases up to 7 June 2025 for studies investigating fall prevention interventions and fracture outcomes in community-dwelling older adults. A primary outcome was hip fractures; secondary outcomes included any fractures, falls, and serious fall injuries. Risk ratios (RRs) with 95% confidence intervals (CIs) were calculated, using random-effects meta-analysis where appropriate. Results: Seventeen studies were included, spanning over 25,000 participants. Interventions included exercise programs, multifactorial approaches, medication optimization, and vitamin D supplementation. For hip fractures, only two randomized controlled trials (RCTs) reported extractable outcome data (12,489 participants; 132 events); both showed non-significant reductions favoring intervention (RR 0.80–0.87), precluding pooled meta-analysis. For any fractures, five studies (18,519 participants; 1343 events) demonstrated no significant effect (RR 0.91, 95% CI 0.72–1.14; p-value = 0.40) with significant heterogeneity (I² = 65%). Fall prevention interventions significantly reduced falls across 14 studies. GRADE assessment indicated very low certainty for both hip fractures and any fractures due to limited studies, inconsistency, and imprecision. Conclusions: Current evidence suggests fall prevention interventions may reduce hip fractures but do not significantly prevent fractures overall. Despite consistent fall reduction, the translation to fracture prevention remains uncertain, highlighting the need for integrated interventions targeting both fall risk and bone health.

Respiratory medicine is transitioning from symptom-driven, standardized care to a more precise, patient-specific approach guided by molecular profiling. This evolution is being enabled by advances in liquid biopsy, multiomics, and artificial intelligence (AI) analytics. Fractional exhaled nitric oxide (FeNO) and blood eosinophils, the two commonly used markers in asthma, are now being joined by more precise airway markers such as galectin-10, which could aid clinicians in making more informed decisions for biological treatments. In chronic obstructive pulmonary disease (COPD) similar progress is underway, with treatment now emphasizing inflammation endotypes, especially eosinophilic patterns, to direct therapeutic choices. Alongside these developments, routine blood-based ratios (e.g., platelet-to-lymphocyte and neutrophil-to-lymphocyte) are being explored as predictors of exacerbation risk, and forced oscillation testing (FOT) is proving useful for picking up early disease shifts. In more severe conditions, biomarkers are linked to an early and better prognosis, enabling timely intervention. Markers like Matrix metalloproteinase-7 (MMP-7) and CC chemokine ligand 18 (CCL18) have proven to be reliable indicators of mortality and disease progression in idiopathic pulmonary fibrosis. Meanwhile, in lung cancer, liquid biopsies, especially those measuring circulating tumor DNA and micro-RNA (miRNA) panels, are enhancing screening accuracy while helping to cut down on the high false-positive rates seen with low-dose computerised tomography (CT). Other respiratory conditions such as bronchiectasis, pulmonary embolism, pneumonia, and acute respiratory distress syndrome (ARDS) are also benefiting from biomarker advances. At the same time there is a growing push to standardize how these biomarkers are measured. AI-based clinical decision support systems are also playing an increasingly important role in the translation of all these complicated data into actionable clinical insights. Together these developments pave the way for improved respiratory care that is precise and responsive to individual patient needs.