Background: Elite athletes regularly participate in national and international sporting competitions while simultaneously engaging in high-intensity and intensified training programs. Therefore, assessing changes in blood biochemical parameters is of considerable importance for evaluating athletes’ physiological adaptation to training loads. In particular, determining the activity of lactate dehydrogenase enzyme in athletes’ blood plasma provides a scientific basis for improving individual performance, evaluating sports performance, and enhancing the effectiveness of future training programs. Aim: To examine plasma lactate dehydrogenase enzyme activity in athletes of the Mongolian National Team. Materials and Methods: A total of 51 athletes, including 26 men and 25 women from 6 types of sports of the Mongolian National Team included in the study. Anaerobic capacity was assessed using a Monark 894E Ergomedic Peak Bike, designed to apply exercise load. Blood serum lactate level and lactate dehydrogenase enzyme activity were determined using a Biobase BK-280 fully automated biochemical analyzer. Heart rate, peripheral blood oxygen levels, and oxygen saturation were measured using a pulse oximeter. Result: The average age of the participating was 24.04±4.15 years, with average height of 168±8.78 cm and average weight of 71.01±7.69 kg. The average BMI was 24.82±4.12 kg/m². Pre-exercise lactate dehydrogenase enzyme activity averaged 177.1±28.96 U/L, while post-exercise lactate dehydrogenase activity averaged 223.5±51.56 U/L. The average heart rate before exercise was 66.04±8.9 bpm, while post-exercise heart rate was 123.6±16.06 bpm. The average VO2 max was 95.18±2.48. Conclusion The activity of the enzyme lactate dehydrogenase before and after exercise showed significant differences in the age groups 20-29 (p<0.01). When comparing lactate dehydrogenase enzyme activity before and after exercise by sport, statistically significant increases were observed in freestyle wrestling and judo athletes (p<0.01).

Background: The COVID-19 pandemic has profoundly impacted global mental health, exacerbating anxiety, depression, and insomnia, with prevalence rates of 25–30%, 27–32%, and 30–45%, respectively—2–3 times higher than pre-pandemic levels. Neuroticism, a key personality trait from the Big Five model, characterized by heightened negative emotions and stress reactivity, has been linked to increased vulnerability. Meta-analyses show neuroticism triples anxiety risk (OR=3.21; 95% CI: 2.35–4.39) and correlates strongly with insomnia (r=0.46, p<0.001) and depression during the pandemic. In Mongolia, empirical data on neuroticism's role remains limited. Objective: This study examines whether neuroticism acts as a risk factor for anxiety, depression, and insomnia among hospitalized patients during COVID-19. Methods: A cross-sectional descriptive study enrolled 552 patients (72.3% COVID-19 cases, 27.7% controls) from tertiary hospitals in Mongolia (2024). Participants (mean age 52.8±15.5 years; 60.5% female) completed self-reported questionnaires: Eysenck Personality Inventory (EPI) for neuroticism, PHQ-9 for depression, GAD 7 for anxiety, ISI for insomnia, and PCL 5 for PTSD. Sociodemographics were assessed. Data were analyzed using SPSS 26.0 with chi-square tests (p<0.05 significance). Instruments showed high reliability (Cronbach’s α=0.81–0.89). Ethical approval was obtained from MNUMS Ethics Committee (No. 2024-Psy-17). Results: Overall, 79.5% were depression free, 84.8% anxiety-free, and 77.5% insomnia-free. High neuroticism (n=381) was significantly associated with depression (24.4% vs. 11.7%, p<0.001), anxiety (18.6% vs. 7.6%, p<0.001), insomnia (28.3% vs. 9.4%, p<0.001), and any mental disorder (21.3% vs. 7%, p<0.001), but not PTSD (p=0.472). Cholerics (n=200) showed elevated risks (depression 29.5%, insomnia 34.5%, p<0.001), while sanguines/phlegmatics were protective. Verbal expression and trust levels showed no significant associations. Conclusion Neuroticism significantly heightens risks for anxiety, depression, and insomnia during COVID-19, underscoring the need for targeted psychological interventions. Temperament-informed screening could enhance prevention strategies in crisis settings.

Background: Regularly participate international High-level in sports athletes national and competitions and engage in intense training, developing endurance and resilience. Measuring blood lactate levels is crucial for improving an athlete’s performance, assessing sports performance, and enhancing the effectiveness of future training. Aim: To study the relationship between lactate levels in the blood plasma and lactate dehydrogenase enzyme activity in Mongolian National Team athletes. Materials and Methods: The study involved 51 athletes from the Mongolian National Team. Anaerobic capacity was assessed using a Monark 894E Ergomedic Peak Bike, designed to apply exercise load. Blood serum lactate level and lactate dehydrogenase enzyme activity were determined using a Biobase BK-280 fully automated biochemical analyzer. Heart rate, peripheral blood oxygen levels, and oxygen saturation were measured using a pulse oximeter. Results: The average age of the participants was 24.04 ± 4.15 years, with an average height of 168 ± 8.78 cm and an average weight of 71.01 ± 7.69 kg. The average BMI was 24.82 ± 4.12 kg/m². Pre exercise lactate levels averaged 3.84 ± 0.75 mmol/L, while post-exercise lactate levels averaged 9.67±3.52 mmol/L. The average heart rate before exercise was 66.04±8.9 bpm, while post-exercise heart rate was 123.6±16.06 bpm. The average VO₂ max was 95.18±2.48. Conclusion The lactate levels before and after exercise among the athletes participating in the study showed significant differences in the age groups 20-29 (p<0.0001). When comparing lactate levels before and after exercise by sport, statistically significant increases were observed in freestyle wrestling and judo athletes (p<0.0001)

Introduction: The job satisfaction of family health center nurses, and the factors affecting it, directly affect the stability of the nursing workforce and the quality and performance of their work. This in turn impacts nursing care provided to family clients of all ages. It is important to value nurses’ work, productivity, and job satisfaction with certain periodicity to improve the nursing management system. Aim: To determine the job satisfaction of family health center nurses. Methods: A descriptive cross-sectional design was used for the study. 102 nurses from family health centers participated in the survey. The Nurse's satisfaction instrument (The American Nursing Associations’ "Satisfaction of Nurses ",2021) has 43 items, and 3 subscales (nurses satisfaction, influencing factors for nurses' satisfaction, and possible solutions). The nurse’s satisfaction was rated as poor <0-60, average <61-122, and good <123-180 points. Questions were collected on paper from December 2022 to March 2023. The survey took 15-20 minutes to complete. Results: The job satisfaction of family health center nurses is at a good level (131.98±13.06). Considering the results of the subgroups, the nurse satisfaction group was (mean=32.8±4.06) average, the factors affecting nurse satisfaction were (mean=58.6±8.05) good, and the possible solutions were (mean=40.4±3.04) indicating agreed. There were results that nurses' workload, professional value, salary, and human resources are the most important factors affecting for job satisfaction of nurses. Conclusion According to the research, there is a need for an integrated policy program to improve the job satisfaction of family health center nurses and the factors affecting it.

Various studies conducted worldwide emphasized the importance of identifying gastric cancer risk factors for better prevention and further incidence reduction. A total of 52 identified risk factors for gastric cancer were classified into nine categories in which diet, lifestyle, and infections are leading causes. Gastric cancer morbidity and mortality has an increasing trend annually in our country. In Mongolia, only 1% is diagnosed in the carcinoma stage, 3% in the first stage, 11% in the second stage, 43% in the third stage, 42% in the fourth stage.
The “Gastric cancer risk factors study, 2018” by L.Tulgaa, and D.Ganchimeg confirmed smoking on an empty stomach as a risk factor. B.Gantuya et al`s (2018) study on gastric cancer and helicobacter infection, as well as S.Tsegmed et al`s (2012) gastric cancer prevalence, its risk factors study, had similar results.
B.Gantuya et al (2018) identified the excessive consumption of salt among the gastric cancer diagnosed population in Mongolia. Also, L.Tulgaa and D.Ganchimeg et al`s “Gastric cancer risk factors study, 2018” results reported the daily consumption of salt in tea is a risk for gastric cancer.
L.Tulgaa et al`s (2018) study participants had irregular mealtime such as dinners are at a very late hour, the meals aren`t chewed well, leftover meals, and seasoning consumption. These characteristics were significantly different in two groups with a statistically important result.
Furthermore, the study results suggested a need to provide practical advice on healthy eating to the population as 50% of the participants consumed more than 5 high-risk food products for esophageal and gastric cancer along with combined risk factors.