The concept of mental health literacy has evolved considerably since researchers first coined the term in the 1990s to describe the public’s ability to recognize mental disorders. Contemporary definitions, expanded by Norwegian researchers, frame MHL as the knowledge, attitudes, and skills required to acquire, maintain, and enhance positive mental health. This redefinition matters because it positions MHL not merely as a cognitive ability to “recognize diseases” but as a comprehensive capability encompassing problem identification, emotional regulation, and health promotion. In practical terms, someone with good MHL can spot the early signs of anxiety, understand what those signals mean, and mobilize coping strategies or professional help before distress deepens into something more entrenched.

The survey was conducted between September 2022 and February 2023 by the Fujian Mental Health Center using multistage stratified cluster random sampling, a design that sampled counties and districts first, then townships and streets, and finally villages or residents committees. The present analysis drew an age-restricted subgroup of 2,164 valid respondents from a broader general-population survey of 13,000 individuals, with an average age of 29.49 years. Participants completed a sociodemographic questionnaire, the Mental Health Literacy Questionnaire for China, the Patient Health Questionnaire-9 (PHQ-9) for depressive symptoms, and the Generalized Anxiety Disorder Scale-7 (GAD-7) for anxiety symptoms. The instruments showed excellent internal consistency in this sample, with Cronbach’s alpha coefficients of 0.959 for the PHQ-9 and 0.954 for the GAD-7.

The MHL questionnaire itself is a three-part instrument aligned with China’s national mental health monitoring framework. It includes 20 true/false items worth 5 points each, an 8-item self-assessment section scored from 1 to 4 per item, and a case analysis section with two sets of 4 items. Attainment, defined as “good MHL,” requires simultaneous fulfillment of all three criteria: a true/false score of at least 80, a self-assessment score of at least 24, and a case analysis score of at least 28. The results revealed a sobering picture. The mean true/false score was 65.07, with only 26.39 percent reaching the threshold; the self-assessment mean was 28.38, with 89.14 percent scoring adequately; and the case analysis mean was 29.38, with 60.77 percent attaining the criterion. But when all three gates had to be passed together, only 484 respondents, or 22.4 percent, qualified, meaning more than three-quarters of surveyed young adults fell short of the national standard.

Statistical analysis using multivariable logistic regression identified a constellation of factors tied to MHL attainment. Individuals with junior high school education were roughly twice as likely to attain good MHL compared with those with primary school education or below, and those with high school or technical secondary education showed a similar advantage. Married individuals exhibited lower attainment rates than unmarried ones, an association that persisted after adjustment. Economic factors mattered as well: participants with moderate personal monthly incomes and those from high-income households demonstrated higher attainment rates. Health behaviors and status also left their mark. Smokers showed significantly lower attainment rates, with an odds ratio of 0.42, while individuals with chronic diseases were more likely to attain good MHL, possibly reflecting heightened concern with health-related issues among those managing ongoing conditions.

Perhaps the most consequential finding concerned symptoms themselves. Participants with depressive symptoms were significantly less likely to have good MHL, with an odds ratio of 0.48, and those with anxiety symptoms showed an even steeper deficit, with an odds ratio of 0.32. The detection rates of anxiety and depressive symptoms among the young adults were 5.04 percent and 5.18 percent respectively, figures close to the national prevalence of anxiety symptoms reported in the China Mental Health Survey but notably higher than the national depression prevalence of 3.4 percent. Among individuals with depressive states, half exhibited positive anxiety symptoms, compared with only 2.6 percent of non-depressive participants, a difference so large it underscores the deep comorbidity between the two conditions.

The study’s centerpiece was a moderation analysis using Model 1 of the PROCESS macro for SPSS, run with 5,000 bootstrap resamples. Anxiety symptoms exhibited a strong positive predictive effect on depressive symptoms, with an odds ratio of 28.12, confirming the comorbidity pathway. MHL attainment itself had a significant negative impact on depression, with an odds ratio of 0.33. But the interaction term between anxiety and MHL was statistically significant, with an odds ratio of 7.64, indicating that MHL significantly reshapes the anxiety-to-depression relationship. The direction of that reshaping, however, is anything but straightforward.

Simple slope analysis revealed a paradox that the authors interpret through two competing mechanisms. At low anxiety levels, the risk of depression was lower in the good MHL group than in the poor MHL group, with predicted depression probabilities of 0.88 percent versus 2.63 percent. This aligns with what the authors call “protective buffering”: good MHL fosters accurate cognitive appraisal of negative emotions, enabling proactive coping strategies such as cognitive reappraisal and problem-solving rather than maladaptive ones like rumination and expressive suppression. But at high anxiety levels, the pattern reversed dramatically. The predicted depression probability in the good MHL group rose to 65.73 percent, compared with 43.18 percent in the poor MHL group, a difference of 22.55 percentage points. The authors attribute this reversal to “sensitivity amplification”: individuals with good MHL may identify their psychological issues earlier and more accurately, resulting in higher detection rates during cross-sectional screening, without implying that literacy causes depression.

This dual-mechanism interpretation, drawing on cognitive appraisal and coping theory as well as the stress-buffering hypothesis, suggests that MHL is not a one-way shield. Even individuals with good MHL experiencing severe emotional distress may struggle to apply their knowledge effectively, or may be constrained by stigma, preventing them from translating cognitive advantages into help-seeking behavior. The authors are careful to note that this explanation remains speculative and requires validation through longitudinal studies, since the cross-sectional design cannot establish causality, rule out symptom reporting bias, or exclude reverse causality. The study also acknowledges limitations including the absence of sampling weights, the small subgroup with positive depressive symptoms, and the possibility of residual confounding by unmeasured factors such as personality traits, adverse childhood experiences, and social support.

For public health, the implications are pointed. For young adults with good MHL, early-screening pathways should be established to translate symptom awareness into timely professional assessment and intervention, leveraging their identification strengths before distress hardens into disorder. For those without good MHL, efforts should focus on improving symptom recognition and correcting cognitive biases that lead to underestimation of mental health risks and delays in help-seeking. As China’s Healthy China Initiative pushes toward a national MHL attainment target of at least 30 percent by 2030, this study suggests that raising literacy is only the first step; the deeper challenge lies in ensuring that awareness, once gained, actually converts into care.

Subject of Research: The moderating role of mental health literacy in the association between anxiety and depressive symptoms among Chinese young adults.

Article Title: Mental health literacy moderates the association between anxiety and depressive symptoms among Chinese young adults: a population-based cross-sectional study

Article References: Chen, X., Rao, W., Xiong, D., & Ji, J. (2026). Mental health literacy moderates the association between anxiety and depressive symptoms among Chinese young adults: a population-based cross-sectional study. Frontiers in Public Health, 14, Article 1872627. https://doi.org/10.3389/fpubh.2026.1872627

Image Credits: AI Generated

DOI: 10.3389/fpubh.2026.1872627

Keywords: mental health literacy, anxiety, depression, young adults, China, cross-sectional study, PHQ-9, GAD-7, moderation analysis, public mental health, help-seeking behavior, Fujian Province