Nonorganic sleep disorders and sleep quality among the general population of Mongolia
DOI:
https://doi.org/10.5564/pmas.v63i01.2807Keywords:
Non-organic sleep disorders, sleep quality, PSQI, COVID-19, MongoliaAbstract
The aim of this study was to determine the prevalence of non-organic sleep disorders and sleep quality, using a structured psychiatric interview following screening through the Pittsburgh Sleep Quality Index (PSQI) among the general population. This nationwide population-based cross-sectional study was carried out between August and October 2020 and involved 964 participants (74% women, mean age: 40.72±14.34) who were randomly selected from 64 clusters in 10 sites of Mongolia. 27.9% of the study participants were evaluated as having non-organic sleep disorders based on the diagnostic guidelines of the International Classification of Diseases, Tenth Edition, Clinical Modification (ICD-10). The prevalence of non-organic sleep disorders differed in age (p<0.001). Non-organic sleep disorders were related to age, employment, diastolic blood pressure, sleep quality, and quality of life. The prevalence of non-organic sleep disorders in the general population of Mongolia was calculated as 27.9%, while the prevalence rate of the poor sleep quality was 42.2%.
Downloads
262
References
Léger D, Poursain B, Neubauer D, Uchiyama M. An international survey of sleeping problems in the general population. Curr Med Res Opin. 2008; 24: 307-317, https://doi.org/10.1185/030079907X253771
Harvey AG, Murray G, Chandler RA, Soehner A. Sleep disturbance as transdiagnostic: consideration of neurobiological mechanisms. Clin Psychol Rev. 2011; 31: 225-235, https://doi.org/10.1016/j.cpr.2010.04.003
Koyanagi A, Stickley A. The Association between Sleep Problems and Psychotic Symptoms in the General Population: A Global Perspective. Sleep. 2015; 38: 1875-1885, https://doi.org/10.5665/sleep.5232
World Health O. The ICD-10 classification of mental and behavioural disorders : clinical descriptions and diagnostic guidelines. World Health Organization, Geneva.1992,
Jolley RJ, Liang Z, Peng M, Pendharkar SR, Tsai W, Chen G, et al. Identifying Cases of Sleep Disorders through International Classification of Diseases (ICD) Codes in Administrative Data. International journal of population data science. 2018; 3: 448-448, https://doi.org/10.23889/ijpds.v3i1.448
Ohayon MM, Reynolds CF, 3rd. Epidemiological and clinical relevance of insomnia diagnosis algorithms according to the DSM-IV and the International Classification of Sleep Disorders (ICSD). Sleep medicine. 2009; 10: 952-960, https://doi.org/10.1016/j.sleep.2009.07.008
Duran S, Geyiktepe OE. Psychologic distress and sleep quality among adults in Turkey during the COVID-19 pandemic. Prog Neuropsychopharmacol Biol Psychiatry. 2021: 110254, https://doi.org/10.1016/j.pnpbp.2021.110254
Franceschini C, Musetti A, Zenesini C, Palagini L, Scarpelli S, Quattropani MC, et al. Poor Sleep Quality and Its Consequences on Mental Health During the COVID-19 Lockdown in Italy. Front Psychol. 2020; 11: 574475, https://doi.org/10.3389/fpsyg.2020.574475
Huang Y, Zhao N. Generalized anxiety disorder, depressive symptoms and sleep quality during COVID-19 outbreak in China: a web-based cross-sectional survey. Psychiatry Res. 2020; 288: 112954, https://doi.org/10.1016/j.psychres.2020.112954
Abdelmoaty Goweda R, Hassan-Hussein A, Ali Alqahtani M, Janaini MM, Alzahrani AH, Sindy BM, et al. Prevalence of sleep disorders among medical students of Umm Al-Qura University, Makkah, Kingdom of Saudi Arabia. J Public Health Res. 2020; 9: 2020, https://doi.org/10.4081/jphr.2020.1921
Erkhembayar R, Dickinson E, Badarch D, Narula I, Warburton D, Thomas GN, et al. Early policy actions and emergency response to the COVID-19 pandemic in Mongolia: experiences and challenges. Lancet Glob Health. 2020; 8: e1234-e1241, https://doi.org/10.1016/S2214-109X(20)30295-3
Knutson KL, Van Cauter E, Rathouz PJ, DeLeire T, Lauderdale DS. Trends in the prevalence of short sleepers in the USA: 1975-2006. Sleep. 2010; 33: 37-45, https://doi.org/10.1093/sleep/33.1.37
Buysse DJ, Reynolds CF, 3rd, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989; 28: 193-213, https://doi.org/10.1016/0165-1781(89)90047-4
Mollayeva T, Thurairajah P, Burton K, Mollayeva S, Shapiro CM, Colantonio A. The Pittsburgh sleep quality index as a screening tool for sleep dysfunction in clinical and non-clinical samples: A systematic review and meta-analysis. Sleep Med Rev. 2016; 25: 52-73, https://doi.org/10.1016/j.smrv.2015.01.009
Beaton DE, Bombardier C, Guillemin F, Ferraz MB. Guidelines for the process of cross-cultural adaptation of self-report measures. Spine (Phila Pa 1976). 2000; 25: 3186-3191, https://doi.org/10.1097/00007632-200012150-00014
Skevington SM, Epton T. How will the sustainable development goals deliver changes in well-being? A systematic review and meta-analysis to investigate whether WHOQOL-BREF scores respond to change. BMJ Glob Health. 2018; 3: e000609, https://doi.org/10.1136/bmjgh-2017-000609
World Health Organization. Division of Mental H. WHOQOL-BREF : introduction, administration, scoring and generic version of the assessment : field trial version, December 1996. World Health Organization, Geneva.1996.
Zigmond AS, Snaith RP. The hospital anxiety and depression scale. Acta Psychiatr Scand. 1983; 67: 361-370, https://doi.org/10.1111/j.1600-0447.1983.tb09716.x
Zhong QY, Gelaye B, Sanchez SE, Williams MA. Psychometric Properties of the Pittsburgh Sleep Quality Index (PSQI) in a Cohort of Peruvian Pregnant Women. J Clin Sleep Med. 2015; 11: 869-877, https://doi.org/10.5664/jcsm.4936
Gulia KK, Kumar VM. Sleep disorders in the elderly: a growing challenge. Psychogeriatrics. 2018; 18: 155-165, https://doi.org/10.1111/psyg.12319
Stranges S, Tigbe W, Gomez-Olive FX, Thorogood M, Kandala NB. Sleep problems: an emerging global epidemic? Findings from the INDEPTH WHO-SAGE study among more than 40,000 older adults from 8 countries across Africa and Asia. Sleep. 2012; 35: 1173-1181, https://doi.org/10.5665/sleep.2012
Hwangbo R, Chang H, Bahn GH. Diagnostic Distribution of Psychiatric Disorders among Korean Young Adults. Soa Chongsonyon Chongsin Uihak. 2020; 31: 80-87, https://doi.org/10.5765/jkacap.200008
Luo J, Zhu G, Zhao Q, Guo Q, Meng H, Hong Z, et al. Prevalence and risk factors of poor sleep quality among Chinese elderly in an urban community: results from the Shanghai aging study. PLoS One. 2013; 8: e81261, https://doi.org/10.1371/journal.pone.0081261
Kolomeychuk S, Randler C, Churov A, Borisenkov M. PSQI Estimation in the Sample of Russian Students. International Online Journal of Educational Sciences. 2016; 2016: 79-84, https://doi.org/10.15345/iojes.2016.05.009
Nakao M, Yamauchi K, Ishihara Y, Omori H, Ichinnorov D, Solongo B. Effects of air pollution and seasons on health-related quality of life of Mongolian adults living in Ulaanbaatar: cross-sectional studies. BMC Public Health. 2017; 17: 594, https://doi.org/10.1186/s12889-017-4507-1
Grandner MA, Kripke DF, Yoon IY, Youngstedt SD. Criterion validity of the Pittsburgh Sleep Quality Index: Investigation in a non-clinical sample. Sleep Biol Rhythms. 2006; 4: 129-139, https://doi.org/10.1111/j.1479-8425.2006.00207.x
Dunleavy G, Bajpai R, Tonon AC, Chua AP, Cheung KL, Soh CK, et al. Examining the Factor Structure of the Pittsburgh Sleep Quality Index in a Multi-Ethnic Working Population in Singapore. Int J Environ Res Public Health. 2019; 16, https://doi.org/10.3390/ijerph16234590
Cole JC, Motivala SJ, Buysse DJ, Oxman MN, Levin MJ, Irwin MR. Validation of a 3-factor scoring model for the Pittsburgh sleep quality index in older adults. Sleep. 2006; 29: 112-116. Gelaye B, Lohsoonthorn V, Lertmeharit S, Pensuksan WC, Sanchez SE, Lemma S, et al, https://doi.org/10.1093/sleep/29.1.112
Construct validity and factor structure of the pittsburgh sleep quality index and epworth sleepiness scale in a multi-national study of African, South East Asian and South American college students. PLoS One. 2014; 9: e116383, https://doi.org/10.1371/journal.pone.0116383
Qiu C, Gelaye B, Zhong QY, Enquobahrie DA, Frederick IO, Williams MA. Construct validity and factor structure of the Pittsburgh Sleep Quality Index among pregnant women in a Pacific-Northwest cohort. Sleep Breath. 2016; 20: 293-301, https://doi.org/10.1007/s11325-016-1313-4
Doi Y, Minowa M, Uchiyama M, Okawa M, Kim K, Shibui K, et al. Psychometric assessment of subjective sleep quality using the Japanese version of the Pittsburgh Sleep Quality Index (PSQI-J) in psychiatric disordered and control subjects. Psychiatry Res. 2000; 97: 165-172, https://doi.org/10.1016/s0165-1781(00)00232-8
Beck SL, Schwartz AL, Towsley G, Dudley W, Barsevick A. Psychometric evaluation of the Pittsburgh Sleep Quality Index in cancer patients. J Pain Symptom Manage. 2004; 27: 140-148, https://doi.org/10.1016/j.jpainsymman.2003.12.002
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Enkhnaran Tumurbaatar, Gantsetseg Tumur-Ochir, Enkhjin Bat-Erdene, Tsogt-Itgel Munkhbat, Chimeddulam Erdenebaatar, Bulgantuya Bumandorj, Battuvshin Lkhagvasuren, Tsolmon Jadamba
This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright on any research article in the Proceedings of the Mongolian Academy of Sciences is retained by the author(s).
The authors grant the Proceedings of the Mongolian Academy of Sciences a license to publish the article and identify itself as the original publisher.
Articles in the Proceedings of the Mongolian Academy of Sciences are Open Access articles published under a Creative Commons Attribution 4.0 International License CC BY.
This license permits use, distribution and reproduction in any medium, provided the original work is properly cited.
