A comprehensive epidemiological analysis utilizing data from the Global Burden of Disease Study 2023 reveals that mood disorders represent an escalating public health challenge across East Asia, marked by distinct cross-country heterogeneity, female disadvantage, and age-specific vulnerability. Investigating major depressive disorder, bipolar disorder, and dysthymia across China, Japan, the Democratic People’s Republic of Korea, the Republic of Korea, and Mongolia from 1990 to 2023, researchers established that major depressive disorder accounted for the largest share of non-fatal mental health loss in every nation. While absolute incidence, prevalence, and years lived with disability rose substantially across the thirty-four-year span, age-standardized rates showed diverse trajectories governed by disorder and geography. Age-standardized rates for major depressive disorder expanded across all five countries, whereas bipolar disorder and dysthymia demonstrated localized stability or declines, illustrating that aggregate regional totals conceal critical divergences between individual nations.
The analytical architecture drew directly from the Global Burden of Disease 2023 platform, applying computational modeling tools to ensure standard diagnostic coding across ICD-10 and DSM-IV-TR definitions. Major depressive disorder was evaluated utilizing the DisMod-AT platform, while dysthymia and bipolar disorder were modeled via DisMod-MR 2.1 to generate standardized incidence, prevalence, and disability metrics. The framework incorporated methodological mechanisms to separate transient pandemic disruptions from long-term epidemiological trends. In mortality modeling, the OneMod platform assessed location-year covariates alongside machine-learning detection of aberrant non-COVID peaks, while non-fatal estimates treated acute pandemic shocks as transient perturbations around historical baselines. For depressive conditions, local COVID-19 death rates were introduced as incidence covariates that linearly waned to zero after 2021, and all cause-specific mortality metrics were calibrated through CoDCorrect. Point estimates were extracted with ninety-five percent uncertainty intervals derived from sampling distributions, establishing a robust quantitative foundation across age brackets from under five to ninety-five and older.
Absolute case numbers in 2023 demonstrated vast variation driven by national population scale, with China recording the highest overall volume of mood disorder burden in East Asia across all three categories. Major depressive disorder dominated the regional landscape: China registered 689.93 times ten to the fourth years lived with disability, alongside 4789.84 times ten to the fourth incident cases and 3431.28 times ten to the fourth prevalent cases. Dysthymia and bipolar disorder in China produced lower disability figures, at 247.36 times ten to the fourth and 73.28 times ten to the fourth years lived with disability, respectively. Japan recorded 65.70 times ten to the fourth disability years for major depression, 8.58 times ten to the fourth for dysthymia, and 12.51 times ten to the fourth for bipolar disorder. South Korea documented 24.14 times ten to the fourth disability years for major depression, while Mongolia and North Korea recorded the lowest absolute totals.
Longitudinal evaluation between 1990 and 2023 using the average annual percentage change disclosed diverging rate patterns across the three conditions. For bipolar disorder, age-standardized disability rates decreased in China and Mongolia, but experienced positive annual increases in Japan, the Republic of Korea, and North Korea. Age-standardized incidence and prevalence rates for bipolar disorder decreased slightly in Japan and South Korea, remaining broadly stable elsewhere. In 2023, Mongolia demonstrated the highest age-standardized incidence rate at 34.62 per 100,000, prevalence at 475.14 per 100,000, and disability rate at 102.31 per 100,000. Dysthymia exhibited downward trends in age-standardized incidence, prevalence, and disability across four countries, with Mongolia standing out as the only nation displaying an increasing trajectory. China retained the highest dysthymia rates in 2023, recording an age-standardized disability of 127.30 per 100,000. Conversely, major depressive disorder expanded across all five countries, marked by the steepest acceleration in North Korea, while Japan exhibited the highest 2023 rates, reaching 515.24 disability years per 100,000.
Stratified demographic analyses demonstrated persistent sex disparities across the region, with females generally bearing a higher burden of mood disorders, though bipolar disorder introduced notable exceptions. In 2023, the Republic of Korea stood as the only examined country where males experienced a higher burden of bipolar disorder than females across age-standardized incidence, prevalence, and disability metrics. In the other four nations, females faced greater bipolar burden. Historical trends from 1990 to 2023 showed that Japanese females underwent substantial reductions across all bipolar metrics, while in North Korea, male reductions in disability rates exceeded female declines. In dysthymia, females consistently maintained higher disease metrics across all five countries in 2023. Major depressive disorder revealed universal female disadvantage across every country in 2023. Between 1990 and 2023, female rate increases outpaced male increases in China, Japan, South Korea, and especially North Korea, where female disability climbed by 85.01 percent. Mongolia presented a contrasting pattern, recording greater historical increases among males.
Age-stratified assessments highlighted contrasting developmental risk periods, with bipolar disorder and major depressive disorder largely emerging during youth while dysthymia clustered in older groups. Incidence rates for bipolar disorder consistently peaked within the 15 to 19 age bracket across all five countries, whereas peak prevalence shifted toward middle age, reaching 55 to 59 years for Chinese males and 50 to 54 years for Chinese females. Major depressive disorder incidence and disability similarly concentrated among adolescents aged 15 to 19 in China, Japan, and South Korea. Striking geographic heterogeneity emerged: in North Korea, peak major depressive disorder incidence occurred among males aged 50 to 54 and females aged 40 to 44. In Mongolia, the highest incidence and prevalence appeared in the cohort aged 95 years and older. Dysthymia consistently displayed older distributions, peaking among Chinese adults aged 60 to 64 for incidence, while Japan and South Korea showed bimodal incidence peaks at 20 to 24 and 95 years and older.
Demographic decomposition analyses evaluated the independent influences of population growth, population aging, and epidemiological changes in modeled age-specific rates from 1990 to 2023. Population growth served as the primary contributor to expanding absolute case numbers, prevalence, and disability for bipolar disorder in China, North Korea, and Mongolia. In South Korea and Japan, however, demographic aging acted as the dominant factor driving down new cases of bipolar disorder, with aging accounting for an 85.21 percent relative reduction in Japanese incident cases. For dysthymia, population aging constituted the principal factor driving increases in new cases, prevalence, and disability across China, Japan, and North Korea, whereas population growth led expansions in Mongolia and South Korea. In the case of major depressive disorder, shifts in modeled age-specific rates served as the dominant force driving new cases, prevalence, and disability upward in China, Japan, and North Korea. Conversely, population growth formed the primary driver of major depressive growth in Mongolia and South Korea, demonstrating how demographic shifts interact with disease dynamics.
Attributable risk analyses and socioeconomic evaluations provided further context regarding the social determinants of mood disorders across East Asia. Utilizing comparative risk assessment frameworks, the study examined population attributable fractions, showing that intimate partner violence represented the largest evaluated contributor to major depressive disorder disability among females in China, North Korea, and Mongolia. Among males, bullying victimization emerged as the leading evaluated contributor to depressive disability across China, North Korea, Mongolia, and South Korea. In Japan, sexual violence against children constituted the largest contributor to depressive disability in both sexes, while also leading among females in South Korea. Examining the Socio-demographic Index via locally weighted regression demonstrated complex non-linear relationships. Bipolar burden remained stable across rising development in China, North Korea, and Mongolia, while showing modest declines above an index value of 0.8 in Japan and South Korea. Major depressive disorder exhibited a non-linear trajectory across pooled regional data, characterized by an initial increase at lower development levels followed by a plateau and eventual decline.
Looking ahead over the fifteen years following 2023, Bayesian age-period-cohort forecasting using integrated nested Laplace approximations projected divergent trajectories through 2038. Bipolar disorder burden is expected to remain broadly stable across East Asia, with modest increases in age-standardized disability rates among females in China, projected at 47.18 per 100,000, and North Korea at 50.09 per 100,000, contrasted by minor declines elsewhere. Dysthymia projections displayed marked geographic divergence: while slight decreases are anticipated in North Korea and Mongolia, substantial increases in age-standardized disability rates are projected for China, Japan, and South Korea, rising to 202.59 per 100,000 among Chinese females and 141.67 among Chinese males. For major depressive disorder, age-standardized incidence is forecast to decline across all five countries by 2038, yet prevalence is projected to rise in China, North Korea, and Mongolia. Projected depressive disability rates display sex-discordant patterns, increasing among Japanese males to 286.72 per 100,000 while falling in Japanese females to 521.33 per 100,000, yet remaining universally higher among females across the region.
The authors emphasized critical methodological limitations that frame the interpretation of these historical trends and predictive estimates. Because the investigation relied upon modeled ecological outputs from the Global Burden of Disease 2023 study rather than primary individual-level clinical data, causal relationships cannot be definitively established. Several important determinants, including genetic and nutritional factors, could not be evaluated due to data absence within the standardized framework. Primary epidemiological records remain sparse for the Democratic People’s Republic of Korea and Mongolia, where estimates rely heavily upon statistical covariates and modeling. Furthermore, the Bayesian forecasting framework assumes the continuation of historical age-period-cohort structures and generates conditional posterior intervals around mean trends rather than comprehensive prediction intervals that absorb unforeseen crises. Finally, rate calculations for individuals aged ninety-five years and older warrant caution due to sparse primary sampling and small demographic denominators. Collectively, these findings demonstrate that mood disorders in East Asia cannot be addressed through uniform regional policies, highlighting the imperative for targeted public health strategies aligned with country-specific demographic shifts, sex disparities, and distinct life-course periods of vulnerability.
Subject of Research: Epidemiological trends and future projections of mood disorder burden in East Asia
Article Title: Trends and Projections of Mood Disorder Burden in East Asia, 1990–2038: A Systematic Analysis Based on Global Burden of Disease Study 2023
Article References: Bai, R., Feng, R., Tian, S., Zhu, M., Duo, H., Yang, J., & Wei, C. (2026). Trends and Projections of Mood Disorder Burden in East Asia, 1990–2038: A Systematic Analysis Based on Global Burden of Disease Study 2023. International Journal of Mental Health and Addiction. https://doi.org/10.1007/s11469-026-01758-5
Image Credits: AI Generated
DOI: 10.1007/s11469-026-01758-5
Keywords: Mood Disorders, Major Depressive Disorder, Bipolar Disorder, Dysthymia, Global Burden of Disease, East Asia, Epidemiology, Public Health, Trends, Projections, Mood, Disorder
