Adventist University of the Philippines

This study examined the factors influencing science high school students’ aspirations to pursue medical programs at the university level in Rwanda. Employing a quantitative design that integrated descriptive–evaluative, correlational, and comparative approaches, the research analyzed how social influence, personal motivation, personal interest, family background, and financial consideration shape students’ intentions to study medicine. Data were collected from a sample of 238 Senior Six (S6) students drawn from five science-oriented high schools using a validated four-point Likert scale questionnaire. The collected data were analyzed using descriptive statistics, Pearson correlation, and multiple regression at a 0.05 significance level. Results revealed a high level of aspiration among students (M = 3.35, SD = 0.54), primarily driven by intrinsic motivation, personal interest, family encouragement, and financial readiness. Social influence showed a weak negative correlation (ρ = –0.169, p = 0.009), indicating that external pressure minimally affects students’ career choices. Financial consideration (R² = 0.997) emerged as the strongest predictor, followed by family background (R² = 0.487) and personal interest (R² = 0.388). These findings highlight that students’ ambitions to pursue medicine are strong but heavily conditioned by economic feasibility and access to educational opportunities. The study underscores the urgent need to expand medical schools and training programs in Rwanda to accommodate the growing student demand and reduce geographic and financial barriers. Strengthening scholarship schemes, mentorship initiatives, and institutional capacity will ensure that motivated students can fulfill their aspirations, thereby contributing to the development of a sustainable national healthcare workforce.

Background: Reproductive health issues significantly impact female college students in China, yet comprehensive data on gynecological disorders and health education needs remain limited. We aimed to evaluate the prevalence, sociodemographic determinants, and health education preferences in this population. Methods: A nationwide cross-sectional study was conducted across 12 provinces from October 2024 to August 2025, including 2,318 female students recruited through stratified random sampling. Data were collected via a validated electronic questionnaire covering demographics, reproductive health status, and education participation. Statistical analyses involved descriptive statistics, chi-square tests, and multivariable regression. Results: High prevalence rates were found for dysmenorrhea (66.18%), irregular menstruation (58.07%), vaginitis (47.89%), premenstrual syndrome (42.19%), and breast disease (36.76%). Significant disparities were identified by education level, residence, and academic major. Rural students showed higher rates of dysmenorrhea (72.62% vs. 59.07%) and irregular menstruation (67.19% vs. 48.00%) than urban students. Although 49.44% had participated in health education, 28.86% had never attended. Students expressed strong preferences for STD prevention (64.32%) and sexual health education (62.25%), with online platforms being the primary information source (34.12%). Over 75% requested free consultations and regular checkups. Conclusion: Chinese female college students face a high burden of gynecological conditions, with notable sociodemographic disparities. Targeted, digital health education initiatives addressing vulnerable subgroups are urgently needed to improve reproductive health outcomes.

This paper illustrates the water salinity map of the Philippines using QGIS. Saltwater intrusion (SI), considered a contaminant, was measured in real-time using the Kor Exo water quality device, which displays electrical and specific conductivities, TDS, and salinity levels in selected coastal aquifers of Luzon, Visayas, and Mindanao. These three parameters were calculated as total salinity. The threshold limit of 500 ppm, as posted by the Department of Environment and Natural Resources (DENR), serves as the cutoff. The map revealed that all sites are highly contaminated with SI (above the 500-ppm threshold limit), and the color codes indicate the levels of total salinity.

Artificial Intelligence (AI) has become a transformative technology in healthcare worldwide, offering tools to improve medical diagnosis and patient monitoring. In the context of the of Gitwe Hospital , integrating AI can enhance the accuracy of diagnoses, reduce human errors, and provide continuous monitoring of patients, leading to better health outcomes, and efficient hospital activities. In this study the researcher used quantitative and qualitative descriptive research approach. Data were collected from patient records, diagnostic reports, and monitoring logs at Gitwe Hospital. Gitwe Hospital AI tools, including machine learning algorithms and predictive models were applied to analyze patterns in patients’ data. The methodology involved in our research was evaluating AI-assisted diagnostic tools against conventional methods and assessing their impact on treatment, and procedures used in Gitwe Hospital patients’ monitoring efficiency. The implementation of AI in medical diagnosis improved the accuracy and speed of identifying diseases, particularly chronic conditions and early-stage infections. Patients’ monitoring systems using AI enabled real-time tracking of vital signs, alerting medical staff to critical changes promptly. The study showed that AI integration reduced diagnostic errors by approximately 15% and improved patient response time in emergencies by 20%. The application of AI in medical diagnosis and patient monitoring at the Hospital of Gitwe demonstrated significant potential to enhance healthcare delivery. AI improved diagnostic accuracy, enabled proactive patient care, and supports clinical decision-making. Future integration of AI technologies can further optimize hospital management and patient outcomes, making the healthcare systems more responsive and efficient.

Abstract The May Measurement Month (MMM) campaign was conducted in the Philippines in 2023 to raise awareness of the importance of raised blood pressure (BP). Adults aged ≥ 18 years were recruited via opportunistic/convenience sampling at various screening sites. Three seated BP readings were taken on each participant, and a questionnaire collected information on demographics, lifestyle factors, and comorbidities. Hypertension was defined as a systolic BP ≥140mmHg and/or diastolic BP ≥90mmHg or being on BP-lowering medication. Controlled BP was defined as being on BP-lowering medication with a BP <140/90mmHg. In total, 33,190 were screened, with a mean age of 45.6 years and 58.9% were female. Of all participants, 11,421 (34.4%) had hypertension, of whom 4,177 (36.6%) were aware, and 4,058 (35.5%) were on antihypertensive medication. Of those on antihypertensive medication, 2,088 (51.5%) had controlled BP, and of all participants with hypertension, 18.3% had controlled BP. The MMM campaign in the Philippines identified a substantial number of participants with untreated or inadequately treated hypertension. This group of patients represent a missed opportunity for prevention of complications, hence the need for improved awareness through establishment of year-round hypertension screening programs and the use of at least two or more first-line antihypertensive drugs to achieve good BP control as recommended by guidelines.