1.Prevalence of obesity and its association with sleep characteristics among healthcare workers (Based on the example of Bayanzurkh district)
Tselmeg E ; ; Tuyajargal I ; Myadagmaa J ; Amarsaikhan D
Mongolian Journal of Health Sciences 2026;92(2):165-170
Background:
Healthcare workers are at risk of obesity and sleep disorders due to workload and night-shift schedules. However, studies examining the relationship between obesity and sleep patterns among healthcare workers in Mongolia are relatively limited.
Aim:
To investigate the prevalence of obesity and its association with sleep patterns among healthcare workers in Bayanzurkh district.
Materials and Methods:
This analytical cross-sectional study was conducted among healthcare workers in Bayanzurkh district between October and December 2025. A total of 293 employees who met the inclusion criteria voluntarily participated in the study and responded to 51 questionnaire items assessing health behaviors and risks using the Pittsburgh Sleep Quality Index (PSQI) and the Insomnia Severity Index (ISI), which were developed collaboratively by the World Health Organization, the United Nations, and the U.S. Centers for Disease Control and Prevention. Participants’ height and weight were measured to determine body mass index (BMI), which was classified into six categories according to WHO criteria. Waist circumference was measured to assess central obesity. Statistical analysis was performed using SPSS version 23.0, and associations were evaluated using correlation and ANOVA tests.
Results:
Among the participants, 83.3% were female and 37.9% were aged 25–34 years. Based on BMI classification, 40.6% had normal weight, 42.0% were overweight, and 15.4% were obese. Central obesity was observed in 63.3% of males and 67.6% of females. Among the participants, 56.7% reported sleeping 5–6 hours per night, and 67.2% consumed coffee or energy drinks to recover from sleep deprivation. According to the Insomnia Severity Index, 30.7% had normal sleep, 39.9% had mild insomnia, 23.5% had moderate insomnia, and 5.8% had severe insomnia. No statistically significant association was found between BMI and insomnia severity (p>0.05). However, longer sleep latency after going to bed and working night shifts were associated with increased insomnia severity (p<0.05). According to the Pittsburgh Sleep Quality Index, 63.8% of participants had good sleep quality and 35.8% had poor sleep quality, and a very weak correlation was observed between sleep quality and BMI (r=0.135, p<0.05).
Conclusion
The prevalence of overweight and obesity among healthcare workers was found to be high. A very weak association was observed between BMI and sleep quality.
2.The Value Of Mongolian Traditional Medicine And Non-Traditional Medicine
Tuyatsetseg Yu ; Yanjindulam U ; Jargaltuya T ; Tuyajargal I
Journal of Oriental Medicine 2015;8(1):34-37
The goal of this study is making the value of Mongolian people about
Mongolian traditional medicine (TM) and non-traditional medicine (NTM).
Totally, 694 citizens involved from Ulaanbaatar city, Nalaikh District and 7
provinces (Selenge, Darkhan, Sukhbaatar, GoviAltai, Tov, Zavhan,
Dundgovi, and Hovsgol) of Mongolia. The citizens included with age
between 20-70. We used of questionnaire randomly, from February to
May of 2015. The 69.1% of 694 citizens was between the 20-40 age, and
63% were female and 37% were male. In this study, the 43% of all
subjects was described to use both all medicines and 25% was traditional
medicine, 32% was non-traditional medicine. However, in the cancer
14,8% was nontraditional medicine, 20.6% traditional medicine, 31.8%
was used a combination of traditional medicine and non traditional
medicine. The 58% of all subjects describe to an know that evaluate to
diagnose by pulse palpation, to evaluating the image, using traditional
drugs and other methods. The 60% of all subjects describe that treatment
advantage Traditional medicine and 40% non-traditional medicine.
Whether the adverse effects of treatment, 38% wasn’t of traditional
medicine and 32% wasn’t non-traditional medicine. To getting the
information about traditional medicine, 86% was from own families,
friends and journal, and 14% from other sources. Most of the citizens (43
%) used a combination of TM and NTM. The satisfaction was 60% for TM,
this seems to be caused of closer to the patient .

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