2.Factors influencing nurse’s psychology (The example of the International Mongolia hospital in the Inner Mongolia)
Yue Lian Bai ; Namuun G ; Delgermaa S ; Gankhuyag G
Mongolian Journal of Health Sciences 2025;88(4):139-143
Background:
Nurses work in a high-stress environment, with 40% experiencing moderate or higher levels of stress and
higher levels of anxiety and depression than the general population. According to WHO 2020 data, the incidence of depression and anxiety among nurses is 2-3 times higher than that of the general population.
Aim:
To identify factors that affect the psychological state of nurses.
Materials and Methods:
Using a cross sectional study design, a questionnaire was administered to 262 nurses at the
International Mongolian Hospital in Hohhot, Inner Mongolia Autonomous Region. The survey was conducted using 18
general demographic and social factor questionnaires, 26 WHOQOL-BREF quality of life questionnaires, and 21 items
with a scale of depression, anxiety, and stress (DASS-21), a total of 65 questionnaires. The study was conducted using
SPSS 29.0 software to statistically analyze the data.
Results:
The physical domain of quality of life score of the study participants was 50.5±7.8, psychological domain of
quality of life score was 54.1±8.7, social domain factor’s score was 58.2±10.5, and environmental factor’s score was
52.3±10.4. Depression, anxiety, and stress’s score were 9.0±8.8, 9.3±8.6, and 11.9±9.2, respectively. The relationship
between nurse’s depression, anxiety, and stress and quality of life was significantly inversely correlated (p<0.01). Nurse’s
age, working years, number of children, number of beds per ward per nurse, and hours of sleep at night increased depression, anxiety, and stress (p<0.05).
Conclusion
1. Psychological indicators such as depression, anxiety, and stress among nurses are reducing their quality of life.
2. In addition, factors such as the nurses’ age, years of service, number of children, number of people on a daily shift,
and sleep time per day are also factors that affect psychological well-being.
3.Neuromyelitis optica- plasmapheresis efficacy
Yesuigen B ; Uranchimeg B ; Namuun G ; Tungalagtamir Sh
Diagnosis 2024;110(3):53-56
Neuromyelitis optica (NMO) is an autoimmune, inflammatory, demyelinating disorder characterised by attacks within the spinal cord and optic nerve. The purpose of this review is to understand the evidence for the effectiveness of plasmapheresis as an add-on therapy for NMO spectrum disorders (NMOSD). The current diagnostic criteria for NMO include optic neuritis, acute myelitis, and at least two of the following three supportive criteria: contiguous spinal cord MRI lesions extending over ≥3 vertebral segments, brain MRI not meeting diagnostic criteria for multiple sclerosis, and NMO-seropositive status.5 Myelitis presents with paraparesis and sensory loss below the lesion, sphincter loss, dysaesthesia, and radicular pain.
4.Transcutaneous Electrical Nerve Stimulation For Muscle Fatigue
Namuun G ; Yasuhiro Endo ; Rie Nakazawa ; Tserendagva D ; Masaaki Sakamoto
Journal of Oriental Medicine 2012;3(2):74-74
Introduction: Several studies found that TENS is effective for
reducing pain and improving physical function. But it is still
unclear that influencing of TENS for muscle fatigue. The purpose
of this study was to determine the effect of TENS on muscle
fatigue after isometric extension exercise of trunk.
Methods: To establish the muscle activity, healthy men were
produced their maximum isometric exertion 15 times and
electromyography was recorded (Task I). And continuing,
subjects maintained the unsupported body as long as they
could. After this, subjects of study group were received TENS
and subjects of control group were rested for 5 minutes. After
the intervention each group was produced their maximum
isometric exertion as same as Task 1 (Task II). VAS and muscle
elasticity were measured.
Results and Conclusions: The significant decreases of muscle
activity of study group were beginning later than in control group.
And the fourth of task tends show a bigger value of %VMA in
comparison with the first of all muscles of Task I in both group
and in Task II in study group. However in Task II there were no
tendencies in control group. Therefore, we thought that TENS
was influenced to nervous system electronically for muscle
fatigue.