Copyright: ©Author(s) 2026.
World J Psychiatry. Sep 19, 2026; 16(9): 115802
Published online Sep 19, 2026. doi: 10.5498/wjp.115802
Published online Sep 19, 2026. doi: 10.5498/wjp.115802
Table 1 Synthesis of mental health outcomes among college students during coronavirus disease 2019 lockdowns (expanded)
| Ref. | Country/region | Sample size | Key findings (prevalence/predictors) | Notable ER/coping factors examined |
| Zhao et al[4] | China | 494 | Depression: 65.0%; anxiety: 69.4%; stress: 50.8% | Compensatory spending (β = 0.13-0.19), binge eating (β = 0.14-0.19), recreational activities (β = -0.25 to -0.30) as key ER habits |
| Cao et al[2] | China | 7143 | Anxiety: 24.9% (mild: 21.3%; moderate: 2.7%; severe: 0.9%) | Family instability and economic concerns as major stressors |
| Liu et al[11] | United States | 898 | Depression: 43.5%; anxiety: 45.4% | COVID-19 exposure, financial stress, weak social support |
| Browning et al[13] | United States | 1621 | Significant increases in depression/anxiety from pre-pandemic baseline | Loneliness was the strongest predictor; coping through substance use was a risk factor |
| Li et al[14] | China | 746217 | Approximately 35% experienced psychological distress | Poor sleep quality and family relationships were major correlates |
| Pfefferbaum and North[15] | Review | N/A | Summarized acute and chronic stress responses in youth | Highlighted disruption of routines and uncertainty as key mediators |
| Aristovnik et al[16] | 62 countries | 31212 students | High levels of anxiety (37.5%) and depression (33.6%) | Academic stress, isolation, and concerns about academic future were top stressors |
Table 2 Risk and protective factors for student mental health during lockdowns: A thematic synthesis
| Factor category | Specific factors | Association with mental health | Proposed mechanism/ER framework | Ref. |
| Maladaptive ER/risk factors | Compensatory spending | Positive (β approximately 0.13-0.19)[1] | Experiential avoidance; mood repair; financial stress feedback loop | Zhang and Ma[7]; Rajkumar[8] |
| Binge eating/emotional eating | Positive (β approximately 0.14-0.19)[1] | Emotional dysregulation; avoidance; physiological guilt/shame cycles | Coakley et al[19]; Rodríguez-Rey et al[28] | |
| Problematic internet/social media use | Positive | Avoidance, social comparison, sleep disruption | Marciano et al[20]; Boursier et al[21] | |
| Rumination | Strong positive | Perseverative cognitive focus on distress; amplifies negative affect | Cao et al[2] | |
| Adaptive ER/protective factors | Recreational activities/hobbies | Negative (β approximately -0.25 to -0.30)[1] | Behavioral activation; attentional deployment; flow/mastery experiences | Quan et al[18]; Heumann et al[35] |
| Physical activity/exercise | Negative (βapproximately -0.22) | Behavioral activation; physiological stress buffering (e.g., endorphins) | Stanton et al[10] | |
| Mindfulness/acceptance | Negative | Reduced experiential avoidance; decentering from negative thoughts | Hong et al[26]; Conversano et al[27] | |
| Cognitive reappraisal | Negative | Reinterpreting stressors; finding meaning; promoting psychological flexibility | Gross[5] | |
| Social support (virtual/in-person) | Negative (β approximately -0.19) | Social sharing; co-regulation; belongingness | Ye et al[9]; Ooi et al[17] | |
| Contextual and demographic moderators | Lower socioeconomic status | Positive | Increased material hardship, less access to resources, higher baseline stress | Quan et al[18]; Amerio et al[56] |
| High academic stress | Strong positive | Threat to self-efficacy and future prospects; performance pressure | Steare et al[38]; Sundarasen et al[54] | |
| Poor sleep quality | Strong positive | Bidirectional relationship; impairs prefrontal cortex function needed for ER | Cellini et al[55]; Alvaro et al[59] | |
| Loneliness/lack of social integration | Strong positive | Unmet need for connection; lack of co-regulation opportunities | Bu et al[51]; Killgore et al[52] |
Table 3 Theoretical frameworks for understanding emotion regulation and mental health during crisis
| Theoretical framework | Core tenet | Application to pandemic findings | Ref. |
| Process model of emotion regulation (Gross) | ER unfolds over time via situation selection, modification, attentional deployment, cognitive change, and response modulation | Lockdowns limited situation selection/modification, increasing burden on cognitive change (reappraisal) which many found difficult, leading to maladaptive response modulation (e.g., binge eating) | Gross[5] |
| Transdiagnostic/RDoC approach | Shared underlying mechanisms (like ER deficits) cut across traditional diagnostic categories | Explains high comorbidity (r approximately 0.85-0.96) of depression, anxiety, and stress; points to interventions targeting shared processes (e.g., intolerance of uncertainty) | Woon et al[33]; Keshavan et al[34] |
| Allostatic load/chronic stress model | Chronic stress leads to wear-and-tear on physiological systems (neuroendocrine, immune), impairing brain function and mental health | Lockdowns were a chronic stressor; allostatic load links pandemic stress to long-term mental and physical health risks | McEwen[31]; Guidi et al[32] |
| Behavioral models (e.g., BA for depression) | Depression is maintained by a cycle of avoidance, reduced activity, and loss of positive reinforcement | Loss of campus activities and routines depleted positive reinforcement; protective factors like recreational activities worked via behavioral activation | Heumann et al[35] |
| Social baseline theory | The human brain expects proximity to social resources; distancing taxes our neural and metabolic resources for regulation | Social isolation forced individuals to “go it alone” neurologically, depleting resources for ER and increasing distress | Coan and Sbarra[36]; Eisenberger[37] |
Table 4 Proposed intervention framework based on review evidence
| Intervention level | Target | Example strategies | Theoretical basis |
| Universal prevention (all students) | Promote adaptive ER, reduce stigma | Curriculum-integrated psychoeducation on stress management and ER skills[5,26]. Campus-wide wellness campaigns promoting physical activity[10], sleep[55,59], hobbies[18]. Training faculty in psychological first aid and referral pathways | Mental health literacy; positive psychology; behavioral activation models[35] |
| Selected prevention (at-risk groups) | Address specific risk factors | Workshops for students with financial stress (financial literacy, budgeting)[7,8,18]. Skills groups for emotional eating[23,24] or problematic internet use[20,21]. Support groups for international students, low-income students[18,51] | Cognitive-behavioral therapy; dialectical behavior therapy skills |
| Indicated intervention/treatment (symptomatic students) | Treat clinical symptoms | Increased access to telehealth cognitive-behavioral therapy, acceptance and commitment therapy, or unified protocol[34]. Prescription and guidance for use of evidence-based mental health apps. Collaboration with campus health services for medication management if needed | Transdiagnostic cognitive-behavioral therapy[33,34]; pharmacotherapy |
| Environmental/policy | Modify structural determinants | Flexible academic policies (deadline extensions, pass/fail options)[16,38,54]. Emergency funds and grants for students in financial need[18,56]. Ensuring affordable, reliable internet and suitable study spaces. Creating and subsidizing opportunities for safe social/recreational engagement[4,9,17,18] | Socioecological model; public health approach |
- Citation: Wu HN, Luo FG, Wang JJ, Wu WY, Fang KJ, Xing HY, Yan J. Emotion regulation and mental health in college students during coronavirus pandemic lockdowns. World J Psychiatry 2026; 16(9): 115802
- URL: https://www.wjgnet.com/2220-3206/full/v16/i9/115802.htm
- DOI: https://dx.doi.org/10.5498/wjp.115802