Associations of anxiety and depression with quality of life: the mediating role of sleep quality in a Mongolian sample
Keywords:
mental health, mediation analysis, sleep quality, quality of life, MongoliaAbstract
Anxiety and depression are among the most common mental disorders and are strongly associated with reduced quality of life (QOL). In this cross-sectional study, we examined the associations of anxiety and depression with four QOL domains, namely, physical, psychological, social, and environmental, among Mongolian adults, and tested whether sleep quality mediates these relationships. Although previous Mongolian studies have examined anxiety, depression, and sleep, none of them have tested sleep quality as a mediator of their effect on QOL. A total of 534 adults completed the Hospital Anxiety and Depression Scale (HADS), the World Health Organization Quality of Life–BREF self-report measure (WHOQOL-BREF), and the Pittsburgh Sleep Quality Index (PSQI), each previously translated and validated for the Mongolian population. Associations were assessed using Pearson correlations and multiple regressions, and indirect effects were estimated through mediation analysis. Higher anxiety and depression scores were significantly associated with lower QOL across all domains (p < .001). Poor sleep quality, reported by 43% of participants, was associated with higher anxiety and depression and lower QOL. Mediation analyses showed that sleep quality partially mediated the associations between anxiety/depression and QOL, most strongly in the physical and environmental domains. These findings indicate that sleep quality is a modifiable factor that may be targeted to reduce the impact of psychological distress on well-being. Culturally adapted interventions addressing both mental health and sleep may yield meaningful public health benefits in Mongolia.
18
References
. WHO. Depression and other common mental disorders: global health estimates. Geneva: World Health Organization; 2017.
2. Vos T., Lim S. S, Abbafati C., Abbas K. M., Abbasifard M., Abbasi-Kangevari M., et al. Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet. 2020; 396(10258): 1204–1222. https://doi.org/10.1016/S0140-6736(20)30925-9.
3. WHOQOL Group. WHOQOL-BREF: introduction, administration, scoring and generic version of the assessment. Geneva: World Health Organization; 1996.
4. Skevington S. M., Böhnke J. R.. How is subjective well-being related to quality of life? Do we need two concepts and both measures? Soc Sci Med. 2018; 206: 22–30. https://doi.org/10.1016/j.socscimed.2018.04.005.
5. Moriwaki A., Kamio Y.. Normative data and psychometric properties of the Strengths and Difficulties Questionnaire among Japanese school-aged children. Child Adolesc Psychiatry Ment Health. 2014; 8(1): 1. https://doi.org/10.1186/1753-2000-8-1.
6. Baglioni C., Battagliese G., Feige B., Spiegelhalder K., Nissen C., Voderholzer U., et al. Insomnia as a predictor of depression: a meta-analytic evaluation of longitudinal epidemiological studies. J Affect Disord. 2011; 135(1–3): 10–19. https://doi.org/10.1016/j.jad.2011.01.011.
7. Becker N. B., Jesus S. N., João K. A., Viseu J. N., Martins R. I., Castelo-Branco M. Depression and quality of life in older adults: mediation effect of sleep quality. Int J Clin Health Psychol. 2018; 18(1): 8–17. https://doi.org/10.1016/j.ijchp.2017.10.002.
8. Li S. X., Lam S. P., Zhang J., Yu M. W., Chan J. W., Chan C. S., et al. Sleep disturbances and suicide risk in an 8-year longitudinal study of schizophrenia-spectrum disorders. Sleep. 2016;39(6):1275–1282. https://doi.org/10.5665/sleep.5852.
9. Bat-Erdene E., Hiramoto T., Tumurbaatar E., Tumur-Ochir G., Jamiyandorj O., Yamamoto E., et al. Quality of life in the general population of Mongolia: normative data on WHOQOL-BREF. PLoS One. 2023; 18(9): e0291427. https://doi.org/10.1371/journal.pone.0291427.
10. Tumurbaatar E., Hiramoto T., Tumur-Ochir G., Bat-Erdene E., Erdenebaatar C., Amartuvshin T., et al. Psychometric properties of the Mongolian version of the Pittsburgh Sleep Quality Index. Neurosci Res Notes. 2023; 6(3): 1–8. https://doi.org/10.31117/neuroscirn.v6i3.190.
11. Olatunji B. O., Cisler J. M., Tolin D. F., Quality of life in the anxiety disorders: a meta-analytic review. Clin Psychol Rev. 2007; 27(5): 572–581. https://doi.org/10.1016/j.cpr.2007.01.015.
12. Rapaport M. H., Clary C., Fayyad R., Endicott J. Quality-of-life impairment in depressive and anxiety disorders. Am J Psychiatry. 2005; 162(6): 1171–1178. https://doi.org/10.1176/appi.ajp.162.6.1171.
13. Rucci P., Gherardi S., Tansella M., Piccinelli M., Berardi D., Bisoffi G., et al. Subthreshold psychiatric disorders in primary care: prevalence and associated characteristics. J Affect Disord. 2003; 76(1–3): 171–181. https://doi.org/10.1016/S0165-0327(02)00087-3.
14. Lkhagvasuren B., Hiramoto T., Bat-Erdene E., Tumurbaatar E., Tumur-Ochir G., Amartuvshin T., et al. Anxiety, depression, and brain overwork in the general population of Mongolia. Sci Rep. 2024; 14(1): 2484. https://doi.org/10.1038/s41598-024-52779-w.
15. Bat-Erdene E., Tumurbaatar E., Tumur-Ochir G., Jamiyandorj O., Jadamba T., Yamamoto E., et al. Validation of the abbreviated version of the World Health Organization Quality of Life in Mongolia: a population-based cross-sectional study among adults in Ulaanbaatar. Nagoya J Med Sci. 2023; 85(1): 79–92. https://doi.org/10.18999/nagjms.85.1.79
16. McEwen B. S., Stellar E., Stress and the individual: mechanisms leading to disease. Arch Intern Med. 1993; 153(18): 2093–2101. https://doi.org/10.1001/archinte.1993.00410180039004.
17. Ichikawa M., Yamakawa T., Sakamoto R., Takahashi K., Suzuki J., Matsuura-Shinoda M., et al. A cross-sectional study of the relationship between quality of life and sleep quality in Japanese patients with type 1 diabetes mellitus. Endocr J. 2022; 69(4) :399–406. https://doi.org/10.1507/endocrj.EJ21-0408.
18. Guo H., Zhang Y., Wang Z., Shen H., Sleep quality partially mediates the relationship between depressive symptoms and cognitive function in older Chinese: a longitudinal study across 10 years. Psychol Res Behav Manag. 2022; 15: 785–799. https://doi.org/10.2147/PRBM.S353987.
19. Liu X., Xia X., Hu F., Hao Q., Hou L., Sun X., et al. Mediating role of sleep quality in the association between cognitive decline and depression among older adults: evidence from the WCHAT study. BMC Geriatr. 2022; 22: 755. https://doi.org/10.1186/s12877-022-02855-5.
20. Nanjid Z., Pojin O., Ogawa S., Choijiljav D., Enkh-Amgalan B. U., Badamdorj O., et al. Factors associated with sleep disturbance among miners in Mongolia: a cross-sectional study. Kitakanto Med J. 2025; 75(1): 15–22. https://doi.org/10.2974/kmj.75.15.
21. Batmend U., Angarag U., Bat-Ulzii N., Bayanmunkh B., Tumur-Ochir G., Jadamba T., et al. Psychometric properties of the Mongolian version of the Chalder Fatigue Scale. Core Rep. 2025; 1(2). Preprint. https://doi.org/10.5281/zenodo.18108031.
22. Bjelland I., Dahl A. A., Haug T. T., Neckelmann D., The validity of the Hospital Anxiety and Depression Scale: an updated literature review. J Psychosom Res. 2002; 52(2): 69–77. https://doi.org/10.1016/S0022-3999(01)00296-3.
23. Tumurbaatar E., Hiramoto T., Tumur-Ochir G., Jargalsaikhan O., Erkhembayar R., Jadamba T., et al. Translation, reliability, and structural validity of the Hospital Anxiety and Depression Scale (HADS) in the general population of Mongolia. Neurosci Res Notes. 2021; 4(3): 30–39. https://doi.org/10.31117/neuroscirn.v4i3Suppl.101.
24. Buysse D. J., Reynolds C.F. 3rd, Monk T. H., Berman S. R., Kupfer D.J., The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989; 28(2): 193–213. https://doi.org/10.1016/0165-1781(89)90047-4.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Uuriintuya Batmend, Sendenkhand Nemekhbayar, Khuslen Batzorig, Naidan Bat-Ulzii, Tsetsegmaa Delgersaikhan, Gantsetseg Tumur-Ochir, Oyunchuluun Ganbaatar, Tsolmon Jadamba, Enkhnaran Tumurbaatar

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.