Lkhagvasuren, Nasantsengel
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Товч нэр
Lkhagvasuren, Nasantsengel
Бүтэн нэр
Lkhagvasuren Nasantsengel
Латин нэр
Lkhagvasuren Nasantsengel
Албан тушаал
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Item type:Publication, Changes in mental health following COVID-19 infection: Results of a prospective cohort study in Mongolia(Mongolian National University of Medical Sciences, 2026-03-30); ; Yelik MadiObjective: COVID-19 has been associated with persistent neuropsychiatric complications, yet prospective evidence from low- and middle-income countries remains limited. This study evaluated 12-month longitudinal changes in depression, anxiety, insomnia, and post-traumatic stress disorder (PTSD) among hospitalized patients with COVID-19 compared with non-COVID-19 controls in Mongolia. Methods: This prospective cohort study included 459 adults (326 COVID-19 cases and 133 controls) recruited from hospitals affiliated with the Mongolian National University of Medical Sciences between 2021 and 2023. Participants without baseline mental disorders were assessed at 7–14 days, 3 months, and 12 months using the PHQ-9, GAD-7, ISI, and PCL-5. Data were analyzed using X² tests, independent t-tests, and relative risk (RR) estimates, with statistical significance defined as p < 0.05. Results: The mean age of participants was 46.3 ± 13.8 years, and 58.4% were female. At 12 months, depression (37.3% vs. 16.9%; RR = 2.22, 95% CI: 1.28–3.83; p = 0.003) and anxiety (28.0% vs. 11.2%; RR = 2.49, 95% CI: 1.25–4.96; p = 0.006) remained significantly more common in the COVID-19 group than in controls. Insomnia decreased over time (33.3% vs. 49.4%; RR = 0.67; p = 0.037), whereas PTSD prevalence remained low in both groups (<3%, p > 0.05). Female participants and those aged 40–59 years showed a higher risk of adverse mental health outcomes. Conclusions: COVID-19 infection was associated with a significantly increased long-term risk of depression and anxiety up to 12 months after infection. These findings support routine mental health screening and sustained psychological follow-up as part of post-COVID care and provide evidence to inform long-term mental health policy in Mongolia. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Ковид-19-ийн дараах сэтгэцийн эрүүл мэндийн өөрчлөлт: проспектив когорт судалгааны үр дүн(2025-12-05); ; - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Шизофренийн эмнэлзүйн шинжүүдийг позитив ба негатив хам шинжийн үнэлгээ (PANSS)-ний сорилоор үнэлсэн нь(2025-10-20); Ж.СарантуяаҮндэслэл: Шизофренийн негатив болон позитив шинжүүд хэмээх онцлох шинж тэмдгүүд хослон илэрдэг эмнэлзүйтэй, архаг явцтай, дотоод шалтгаантай, сэтгэцийн хүнд эмгэг юм. Шизофрени голдуу өсвөр болон залуу насанд эхэлж хүний танин мэдэхүй, сэтгэхүй, сэтгэл хөдлөл зэрэг сэтгэцийн үйл ажиллагаа өөрчлөгдөн улмаар өдөр тутмын амьдралын үйл ажиллагаа болон нийгэмтэй дасан зохицох чадвар алдалтад хүргэдэг эмгэг юм. Шизофренийн оношилгоо, эмчилгээний явцыг үнэлэхэд позитив болон негатив шинжийн үнэлэх сорил (PANSS)-ыг өргөн хэрэглэдэг ба шинж тэмдэгийн хүндийн зэргийг тогтоодог. Уг сорилыг солиорлын шинж тэмдэгээр илэрдэг эмгэгүүдийг үнэлэх алтан стандарт гэж нэрлэдэг ба энэхүү үнэлгээний аргачлалыг ашиглан хийгдсэн судалгааны ажил олдохгүй байгаа нь энэхүү судалгааны ажлын үндэслэл боллоо. Зорилго: Шизофренийн эмнэлзүйн шинжүүдийг позитив ба негатив хам шинжийн үнэлгээ (PANSS)-ний сорилоор үнэлж, тэдгээрийн хүндийн зэргийг тогтоох. Арга, аргачлал: Бид сэтгэцийн эрүүл мэндийн үндэсний төвд 2016 оны 12 сараас 2019 оны 12 сар хүртэлх хугацаанд амбулаторийн идэвхтэй хяналтад хянагдаж буй шизофренитэй 102 хүнийг хамруулж, агшингийн загвараар гүйцэтгэсэн. Үр дүн: Судалгаанд нийт 20-66 насны 102 хүн хамрагдсанаас 51% (n=129) нь эмэгтэй, дундаж нас 40.0±12.0 жил байлаа. Позитив, негатив болон сэтгэцийн ерөнхий шинжүүдийн зэргийн дундаж нь хөнгөн болон дунд зэрэгт 21–24%, негатив шинжүүдийн маш хүнд зэрэг 23% байна. Энэ үзүүлэлт нь сэтгэл хөдлөлийн илэрхийлэл буурах, нийгмээс тусгаарлагдах, амьдралын идэвх сулрах зэрэг шинжүүд шизофренийн хүнд шатанд хүчтэй илэрдэг болохыг харуулж байна. Позитив шинжүүдийн хувьд хөнгөн болон дунд зэрэгт 15–24% байсан ба энэ нь өвчний эхэн үед хий үзэгдэл, дэмийрлийн шинжүүд тод илэрдэг боловч өвчин хүндрэх явцад харьцангуй буурдаг байна. Сэтгэцийн ерөнхий шинжүүдийн хувьд 12–22% байсан нь бүх зэрэгт тогтвортой илэрсэн. Дүгнэлт: Шизофренийн эмнэлзүйн эхэн үед позитив шинжүүд давамгай, харин өвчний хүнд шатанд негатив шинжүүд давамгайлж, сэтгэцийн ерөнхий шинжүүд бүх зэрэгт тогтвортой илэрч буй нь тодорхойлогдлоо. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Pre-Pregnancy BMI and Gestational Weight Gain Have Independent Associations with Birth Weight: A Prospective Cohort Study in Mongolia(2026-05); ; ; Background: Neonatal birth weight is a key determinant of short- and long-term health outcomes. Pre-pregnancy body mass index (BMI) and gestational weight gain (GWG) are important predictors of birth weight; however, their independent associations remain unclear, particularly in settings where national GWG guidelines are lacking. Methods: A prospective cohort study was conducted among 340 pregnant women in Ulaanbaatar, Mongolia in 2022. Data were collected using standardized questionnaires and anthropometric measurements. Pre-pregnancy BMI and GWG were classified according to World Health Organization criteria and the 2009 Institute of Medicine guidelines. Multivariable linear regression models were used to examine independent associations with neonatal birth weight. Results: The mean maternal age, pre-pregnancy BMI, and GWG were 30.3 ± 6.0 years, 23.5 ± 4.4 kg/m2, and 14.3 ± 6.2 kg, respectively. Both BMI and GWG were independently associated with neonatal birth weight (p < 0.001), with no significant interaction observed (p = 0.147). Birth weight increased by 29.7 g (95% CI: 18.6-40.8) per 1 kg/m2 increase in BMI and by 31.7 g (95% CI: 24.0-39.4) per 1 kg increase in GWG. Compared with normal BMI, overweight/obesity was associated with higher birth weight, while excessive GWG increased and inadequate GWG decreased birth weight (all p < 0.05). Conclusions: Pre-pregnancy BMI and GWG were independently associated with neonatal birth weight, with GWG showing a slightly stronger association. These findings highlight the importance of optimizing maternal weight before and during pregnancy. Countries undergoing rapid nutritional transitions may benefit from developing context-specific GWG guidelines, with Mongolia representing a relevant example. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Synergistic SNP-SNP interaction of NRG1 and ERBB4 increases the risk of schizophrenia(2025-09); ; In last two decades, quite of few evidences were found about the genetic risk factor for schizophrenia. But until now, it's poorly understood that the pathogenesis of schizophrenia and contribution of those genetic factors in it. Inconsistent data reported for several candidate gene polymorphisms contributing on schizophrenia development, previously. The case-control study was conducted with 102 schizophrenia patients and 150 control subjects. HTR2A (rs6311), TPH2 (rs1386494), NRG1 (rs3924999 and rs2954041), DISC1 (rs821616 and rs6675281) and ERBB4 (rs7424835 and rs4673628) gene polymorphisms were detected by allele specific PCR and RFLP. Genetic analysis were performed by SNPAlyze 9.0 and STATA 13.0 software. Also, multidimensional regression analysis was used to determine the SNP-SNP interaction. T allele of rs821616 DISC1 and G allele of rs4673628 ERBB4, were associated with increased risk of schizophrenia. Significant difference was observed for heterozygous G/A genotype of rs6311 (G/A vs G/G + A/A, OR = 2.11; 95 % CI, 1.25-3.54, p = 0.005). By SNP-SNP interaction, the cumulative effect of NRG1 (rs3924999) and ERBB4 (rs4673628) combination, had increasing the risk of schizophrenia by 9.44-fold. This data require independent replication for rs821616, rs4673628 and rs6311 polymorphisms and schizophrenia risk. But particularity, our result suggests the interaction, rs3924999-rs4673628 of NRG1 and ERBB4 genes surprisingly increases the risk of schizophrenia.Scopus© Citations 1