1.Study of pupil and student knowledge of e-cigarette use and its effects
Chanarav B ; Nyambayar B ; Ariunzaya Ts ; Nyamaa L ; Sarangerel G ; Otgontugs L
Diagnosis 2024;110(3):57-61
Background:
E-cigarettes were created in China in 2003 and smoke is produced by the transfer of liquids contained within e-cigarettes into proteins. The WHO has warned of the health effects of e-cigarettes and recommended limiting sales. Mongolia imported a total of 2047 e-cigarettes from 2019-2020 and 2.6 million e-cigarettes by 2021. That's because in the school environment, retail outlets are trading in e-cigarettes.
Objective:
Study of pupil and student knowledge of e-cigarette use and its effects among pupils.
Research Methods:
In our study, we found 421 students representing 1304 high school students at 6 high schools in Esenbulag, Altai Province, with 12 years of training, The study was conducted by a closed questionnard of 38 students representing 161 students from MSUT, 151 students representing 962 students from 1st to 6th grade, and a total of 670 youth and students. The results of the study were developed with 24 SPSS applications.
Results of the study:
71.8% of participants in the study are high school students in general education, 5.7% are MSUT students and 22.5% are MNUMS students. It found that 12.5% of students surveyed and 11.7% of teens said they smoked e-cigarettes, compared with 11% of teens and students who occasionally smoked e-cigarettes. 47-73% of teens and students who smoke began smoking starting in the 10th to 11th grade, with 21.3-45.5% of the factors affecting e-cigarette use attracting friends, 9.5-13.4% responded that they were household smokers, 6.2-18.1% said they were interested in making others look attractive, while 42.5-62.4% said they knew about the harmful effects of e-cigarettes and 46-51.7% were trying to stop e-cigarettes. A study of the source of information on the effects of e-cigarettes found that 40.8-47.9% of people get it from social networks and 14.1-20.4% from TV shows.
Conclusions
While the vast majority of students and students know about the effects of e-cigarettes, 56.6% of the participants in the overall study smoke e-cigarettes. Information about the harmful effects of e-cigarettes is being taken from social networks by the vast majority of teenagers and young people on campus. Friends have the highest percentage of exposure to e-cigarettes because of the many factors affecting e-cigarettes.
2. Impact of Individual Temperament on the Immune Response After COVID-19 Vaccination
Burenjargal B ; Dashpagam O ; Shatar Sh ; Khongorzul T ; Ariunzaya B ; Zolmunkh N ; Gansukh Ch ; Ulziisaikhan B ; Chimidtseren S ; Baasanjargal B ; Enkh-Amar B ; Nomin-Erdene Ts ; Davaalkham D ; Tsogtsaikhan S ; Batbaatar G
Mongolian Journal of Health Sciences 2025;88(4):47-51
Background:
The first confirmed case of COVID-19 in Mongolia was reported on November 11, 2020. In response, the
government imposed a nationwide lockdown, which significantly impacted the population’s mental health. Heightened
levels of stress, anxiety, loneliness, and depression during the pandemic altered individuals’ psychological stability and
behavior. Personality traits—defined as relatively stable patterns of emotion, cognition, and behavior—play a key role in
stress responses and emotional regulation under pressure. Emerging evidence suggests that these psychological factors
may influence the immune system’s responsiveness, including vaccine-induced antibody production.
Aim:
To evaluate the association between post-vaccination antibody responses and personality types following two doses
of COVID-19 vaccines.
Materials and Methods:
A total of 738 participants who received two doses of COVID-19 vaccines (AstraZeneca
ChAdOx1, n=29; Pfizer-BioNTech, n=119; Sinopharm BBIBP, n=590) and had no prior SARS-CoV-2 infection were
enrolled. Serum samples were collected 21–28 days after the second dose, and SARS-CoV-2 RBD (S) IgG antibodies
were measured using ELISA (Proteintech Inc., USA). Personality types were assessed using a 56-item temperament
questionnaire developed by A. Belov, categorizing individuals into classical temperament types (choleric, phlegmatic,
sanguine, melancholic). Logistic regression and ROC analysis were used to examine associations between personality
types and antibody response.
Results:
The presence of an antibody response was significantly higher among individuals with a melancholic tempera
ment, and significantly lower among those with a phlegmatic temperament. Furthermore, antibody titers were higher in
participants with melancholic and sanguine temperaments and lower in those with a phlegmatic type.
Conclusions
1. During the early period following the second dose of COVID-19 vaccination, the antibody response was higher
in individuals with a pure melancholic temperament, while it was lower in those with a phlegmatic temperament.
2. After the second dose of the Sinopharm BBIBP COVID-19 vaccine, antibody titers were higher in individuals with
pure melancholic and sanguine temperaments, and lower in those with a phlegmatic temperament.