Back to Journals » Psychology Research and Behavior Management » Volume 18
Research on the Anxiety and Depression of Patients with Mechanical Ocular Injuries: A Cross-Sectional Study
Authors Li M, Wang Y, Chen H, Zheng F, Su Z, Li J , Yan H
Received 25 August 2024
Accepted for publication 25 December 2024
Published 15 January 2025 Volume 2025:18 Pages 81—90
DOI https://doi.org/10.2147/PRBM.S485854
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 3
Editor who approved publication: Dr Igor Elman
Mengxuan Li,1– 3 Yuhao Wang,4 Hanhui Chen,4 Fang Zheng,5 Zhitao Su,5 Jie Li,4 Hua Yan1– 3
1Department of Ophthalmology, Tianjin Medical University General Hospital, Tianjin, 300052, People’s Republic of China; 2Laboratory of Molecular Ophthalmology, Tianjin Medical University, Tianjin, 300070, People’s Republic of China; 3Key Laboratory of Ocular Trauma, Tianjin, 300070, People’s Republic of China; 4Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, 300222, People’s Republic of China; 5Eye Center, The Second Affiliated Hospital Zhejiang University School of Medicine, Zhejiang University, Hangzhou, People’s Republic of China
Correspondence: Hua Yan, Department of Ophthalmology, Tianjin Medical University General Hospital, Tianjin, 300052, People’s Republic of China, Fax +86-22-27813550, Email [email protected]
Purpose: The present study aimed to investigate the prevalence of anxiety and depression in patients with mechanical ocular injuries, and the effects of worry and resilience on anxiety and depression.
Patients and Methods: Patients with one eye of mechanical ocular injuries and healthy residents were recruited from June 8, 2022, to March 1, 2023. All subjects participated in psychologically relevant questionnaires including the Self-rating Anxiety Scale(SAS), the Self-rating Depression Scale(SDS), the Connor- Davidson Resilience Scale (CD-RISC), and the Penn State Worry Questionnaire(PSWQ). Data were collected and subjected to statistical analysis.
Results: There were no significant differences in SAS and SDS total scores based on demographics (p> 0.05) except for the subjective appraisal of the family economy (p< 0.05). The SAS and SDS total scores and the positive rates of anxiety and depression in the ocular trauma group were significantly higher than those in the healthy control group (p< 0.01). The positive rates of anxiety and SAS total scores of individuals with mild visual impairment were significantly higher than those with low vision (p< 0.01) and blindness (p< 0.05). There was no difference between the remaining groups. The positive rates of anxiety and SAS total score (36.5%, 45.92) of individuals with mild visual impairment were significantly higher than those with low vision (4.3%, 38.15) (p< 0.01) and blindness (19.4%, 40.19) (p< 0.05). There was no difference between the other groups. All effects of mechanical ocular injuries on anxiety and depression were significant (p< 0.01). The indirect mediating effects on anxiety by worry alone, resilience alone, resilience, and worry were significant (p< 0.01). The mediating indirect impact on depression by worry alone (p< 0.01), worry and resilience (p< 0.05) were significant while resilience (p> 0.05) did not show a significant mediation effect.
Conclusion: Patients with mechanical ocular injuries are prone to developing anxiety and depression with resilience and worry playing a mediating role.
Keywords: anxiety, depression, resilience, worry
Introduction
Mechanical ocular injuries, the most common type of ocular trauma, can result in structural damage to the eye and a decrease in visual function, often leading to physiological and psychological issues.1 It is common for patients with eye diseases to experience anxiety and depression. According to the study, 31.2% of patients with eye diseases reported anxiety symptoms, while 25% reported depression symptoms.2,3 Many ophthalmic conditions, including blindness, also have psychological manifestations, which need to be addressed.4 These negative mental health conditions may arise due to various eye-related symptoms such as discomfort, pain, visual impairment, and more. Additionally, social factors, doctor visits, and medical expenses may also contribute to the development of anxiety and depression.2,5 Vision impairment and facial deformities resulting from mechanical ocular injuries can lower a patient’s quality of life, affecting their social, daily life, and work abilities. This increased functional disability can lead to mental health problems such as clinical depression and anxiety, placing patients at greater risk.6,7 Anxiety can worsen the decline in quality of life caused by vision impairment, and it can also directly affect visual function by disrupting autonomic nervous or hormonal balance, which can affect ocular blood flow.8 Depression can also aggravate the symptoms of eye pain and discomfort.5 There is a significant link between eye disease and mental illness.9 People with an ocular prosthesis experience emotional distress post-injury.10 Unfortunately, there is currently a lack of research on the prevalence of anxiety and depression in patients with mechanical ocular injuries.
The development of anxiety and depression can be influenced by psychological factors such as worry and resilience.11,12 Research has shown that individuals with higher scores in traits related to worry are more likely to experience anxiety and depression.5,7 Worry is a form of negative thinking oriented to the future, which can appear after the occurrence of an event, promote the generation of anxiety and depression through the mediating effect, and prolong the duration of anxiety and depression.12 Resilience is a psychological trait that promotes an individual’s positive adaptation in the face of stress and adverse events and as a protector can reduce perceived stress and alleviate anxiety and depression.13,14 However, trauma can weaken psychological resilience, leading to poor adaptation to the disease and promoting the occurrence of anxiety and depression.8,11,12 Nevertheless, the role of worry and psychological resilience in the process of mechanical ocular injuries leading to anxiety and depression is currently unknown. The purpose of this study is to explore post-traumatic anxiety and depression symptoms in patients with mechanical ocular injuries while examining the impact of psychological resilience and worry.
Materials and Methods
Study Participants
From June 8, 2022, to March 1, 2023, a total of 135 patients with one eye of mechanical ocular injuries and 135 healthy residents participated in a questionnaire survey, divided into an ocular trauma group and a healthy control group. The included respondents of ocular trauma group must meet the following criteria: (1) patients with ocular trauma within the past 7 days; (2) no severe physical illnesses or other eye diseases except ocular trauma; (3) aged 18 or above; (4) no history of neurodevelopmental or neurocognitive disorders; (5) no history of anxiety, depression, or other psychological disorders.
The inclusion criteria for the healthy control group included: (1) healthy residents without systemic illnesses; (2) matched in terms of gender and age with the ocular trauma group; (3) no history of ocular trauma or other eye diseases; (4) no history of neurodevelopmental or neurocognitive disorders; (5) no history of anxiety, depression, or other psychological disorders.
Conduct of the Assessment
This study employed a combination of electronic and paper questionnaires. Trained ophthalmologists organized the administration of questionnaires either in person or online, and patients provided informed consent before completing the questionnaires. The collected responses were assessed by professional psychiatrists. All participants must complete the written informed consent by handwritten or electronic signature before the interview. The study was conducted under the guidance of the Ethics Committee of Tianjin Medical University General Hospital.
Demographic Characteristics Questionnaire
A self-developed demographic characteristics questionnaire was used to collect general population statistics, including gender, race, marital status, living conditions, educational level, employment status, age, and economic status. Information on systemic illnesses and mental conditions was obtained to determine whether participants should be excluded from the study.
Self-Rating Depression Scale
The Self-rating Depression Scale (SDS)15 was used to assess the severity of depressive symptoms. The scale has been widely used in Chinese populations and has demonstrated good validity and reliability.16 It consists of 20 items, scored on a 4-category rating scale. “1–4” represent “none or a little of the time”, “a little of the time”, “a good part of the time”, and “most or all of the time”, respectively. The main statistical index for the SDS is the total score. After self-assessment, the scores for each of the 20 items were summed to obtain the raw score, which was then multiplied by 1.25 and rounded to the nearest integer to obtain the standard score. A standard score above 53 indicates the presence of depressive symptoms, with higher scores indicating more severe symptoms.
Self-Rating Anxiety Scale
The Self-rating Anxiety Scale (SAS)17 was used to assess the severity of anxiety symptoms in patients over the past 7 days. The scale has been widely used in Chinese populations and has demonstrated good validity and reliability.18 It consists of 20 items, scored on a 4-category rating scale. “1–4” represent “none or a little of the time”, “a little of the time”, “a good part of the time”, and “most or all of the time”, respectively. After self-assessment, the scores for each of the 20 items were summed to obtain the raw score, which was then multiplied by 1.25 and rounded to the nearest integer to obtain the standard score. A standard score above 50 indicates the presence of anxiety symptoms, with higher scores indicating more severe symptoms.
Connor-Davidson Resilience Scale
The Connor- Davidson Resilience Scale (CD-RISC)19 was used to assess an individual’s psychological resilience and had good reliability and validity in its prior Chinese version20 It consists of 25 items, scored on a 4-category rating scale. “0–4” represent “never”, “rarely”, “sometimes”, “often”, and “almost always”, respectively. After self-assessment, the scores for all 25 items were summed, with higher scores indicating better psychological resilience.
Penn State Worry Questionnaire
The Penn State Worry Questionnaire (PSWQ)21 was used to assess an individual’s level of worry and had good reliability and validity in its prior Chinese version.21 It consists of 16 items, scored on a 5-category rating scale. “1–5” represent “not at all typical”, “very typical”, ”somewhat typical”, “usually typical”, and “always typical”, respectively. The scores for all 16 items were summed to obtain the total score, with higher scores indicating greater levels of worry.
Data Analysis
Statistical analysis was performed using SPSS version 26.0 (Chicago, IL, USA) software. The ANOVA and the chi-square test were used to analyze the demographic characteristics and the psychological traits scales to determine differences between the two groups. Spearman correlation coefficient was used to explore the relationship between total SDS, SAS, CD-RISC, and PSWQ scores. The mediation model was set up using Model 6 in PROCESS v3.4.1. The independent variable was mechanical ocular injuries; the dependent variable was depression or anxiety; and the mediating variables were resilience and worry. Covariates introduced in the models were subjective appraisals of the family economy with statistical significance. For the best test of the mediation effect, the bootstrapping procedure to measure the indirect effect was carried out, the number of bootstrap samples was 5000, and a 95% Confidence Interval (CI) was estimated. When the 95% CI for an indirect effect does not include 0, the indirect effect can be considered significant. P < 0.05 was considered to be statistically significant.22
Results
Comparative Analysis
Comparison of demographic characteristics between the ocular trauma group and the healthy control group.
A total of 135 patients with mechanical ocular injuries and 135 healthy residents participated in this study. The mean age in the ocular trauma group was 46.38 ± 12.89 years, while in the healthy control group, it was 45.25 ± 11.34 years. There were no differences between the ocular trauma group and the healthy control group in terms of gender, marital status, employment status, age, or ethnicity (p>0.05). However, there was a significant difference in subjective appraisal of the family economy between the two groups (p<0.01) (Table 1).
![]() |
Table 1 Comparison of Demographic Characteristics Between the Ocular Trauma Group and Healthy Control Group |
Analysis of differences in anxiety and depression between the ocular trauma group and the healthy control group.
In the ocular trauma group, the total scores of SAS and SDS showed no differences based on demographic factors such as gender, age, ethnicity, marital status, living conditions, education level, and employment status (p>0.05). However, there was a significant difference in subjective appraisal of the family economy (p<0.05) (Table 2).
![]() |
Table 2 Demographic Differences in SAS and SDS Total Scores |
The ocular trauma group had significantly higher SAS total scores (43.41±5.25) compared to the healthy control group (40.94±10.35) (p<0.01). The positive rate of anxiety in the ocular trauma (20%) was significantly higher than that in the healthy control group (5.9%) (p<0.01).
The ocular trauma group had significantly higher SDS total scores (49.69±11.91) compared to the healthy control group (40.94±9.78) (p<0.01). The positive rate of depression in the ocular trauma group (44.4%) was significantly higher than that in the healthy control group (14.8%) (p<0.01) (Table 3).
![]() |
Table 3 Differences in SAS and SDS Total Scores and the Positive Rates of Anxiety and Depression Between the Ocular Trauma Group and Health Control Group |
Due to various reasons for binocular vision impairment or reduced field of vision, it is difficult to do the work, study, or other activities that ordinary people can do. Based on the National Standard for Disability Classification and Grading for Persons with Disabilities (GB/T26341-2010), The Injured eyes of patients with mechanical ocular injuries were categorized into groups based on their visual impairment: mild visual impairment (visual acuity >0.3) included 19 individuals, low vision (visual acuity 0.05–<0.3) included 23 individuals, and blindness (no light perception–<0.05) included 93 individuals. Among these, there were 65 cases of corneal perforating injuries, 46 cases of globe rupture injuries, 10 cases of globe contusion injuries, and 14 cases of intraocular foreign body injuries. The positive rates of anxiety and SAS total score (36.5%, 45.92) of individuals with mild visual impairment were significantly higher than those with low vision (4.3%, 38.15) (p<0.01) and blindness (19.4%, 40.19) (p<0.05), while it was no difference between those with blindness (19.4%, 40.19) and those with low vision (4.3%, 38.15) (p>0.05). There was no difference in the positive rates of depression and SDS total score between individuals with low vision (39.1%, 49.46), mild visual impairment (36.8%, 48.62), and those with blindness (47.3%, 51.16) (p>0.05) (Table 4).
![]() |
Table 4 The Positive Rates of Anxiety, Depression, and SAS, SDS Total Scores, Among Mechanical Ocular Injury Patients Stratified by Visual Impairment Level |
Scale Reliability
Scale reliability, represented by the α coefficient, reflects the scale results’ stability, consistency, and reliability. The SAS (α = 0.87), SDS (α = 0.87), PSWQ (α = 0.89), and CD-RISC (α = 0.95) all demonstrate good scale reliability.23
Correlation Analysis
There was a significant correlation among all scales (P<0.01), SAS score was negatively correlated with the CD-RISC score (r=−0.493**P<0.01), and positively correlated with the PSWQ score (r=0.686**P<0.01). PSWQ score was negatively correlated with CD-RISC score (r=−0.479 **P<0.01). SDS score was negatively correlated with CD-RISC score (r=−0.612**P<0.01), and positively correlated with PSWQ score (r=0.555**P<0.01).
Mediation Analyses
A subjective appraisal of the family economy with significant differences identified in the univariate analysis was included in the mediation models as control variables. As shown in Figures 1 and 2, all the path coefficients were significant (p<0.01). These results of the mediation analysis show that when the indirect effect value (β) with a 95% confidence interval (CI) does not include 0, it is considered a significant indirect effect.
![]() |
Figure 1 Path models of the mediation effects of worry and resilience between mechanical ocular injuries and anxiety. |
![]() |
Figure 2 Path models of the mediation effects of worry and resilience between mechanical ocular injuries and depression. |
The total effect on anxiety was significant (effect =6.17, p<0.01, 95% CI = 3.93 to 8.42), the direct effect of the mechanical ocular injuries was significant (effect = 8.97, p<0.01, 95% CI = 6.79 to 11.15), and the indirect effect was also significant (effect =−2.80, p<0.01, 95% CI = −4.73 to −1.36). The mediation effect of worry was significant (effect =−1.14, p<0.01, 95% CI =−2.04 to −0.25); the mediation effect of resilience was significant (effect = −1.50, p<0.01, 95% CI =−2.65 to −0.54); the mediation effects of worry through resilience were also significant (effect = −0.15, p<0.01, 95% CI = −0.36 to −0.02) (Table 5).
![]() |
Table 5 The Mediation Effects of Resilience and Worry Between Mechanical Ocular Injuries and Anxiety |
The total effect on depression was significant (effect =7.20, p<0.01, 95% CI = 4.37 to 10.03), the direct effect of the mechanical ocular injuries was significant (effect = 4.91, p<0.01, 95% CI = 2.53 to 7.29), and the indirect effect was also significant (effect =2.28, p<0.01, 95% CI = 0.63 to 4.05). The mediation effect of worry was significant (effect =1.77, p<0.01, 95% CI =0.88 to 2.83); the mediation effect of resilience was not significant (effect = −0.04, p>0.05, 95% CI =−1.2 to 1.2); the mediation effects of worry through resilience were also significant (effect = 0.55, p<0.01, 95% CI = 0.23 to 0.93) (Table 6).
![]() |
Table 6 The Mediation Effects of Resilience and Worry Between Mechanical Ocular Injuries and Depression |
Discussion
Severe mechanical ocular injuries can cause significant damage to the eye structures, leading to visual impairment and sometimes, the removal of the eye.1 Suffering from traumatic experiences can significantly affect a patient’s mental health, causing various psychological changes.24 According to this study, patients with mechanical ocular injuries had significantly higher rates of anxiety and depression as well as elevated levels of anxiety and depression compared to a healthy control group. In the acute phase of mechanical ocular injuries, patients may experience physical discomfort, pain, and reduced mobility due to visual impairment. In an unfamiliar hospital environment, reduced social activities and decreased social engagement of patients will lead to the ability to experience happiness also decreasing, finally contributing to the development of depression.25 It’s worth noting that a considerable number of individuals who experience mechanical ocular injuries are migrant workers with limited financial means. The high cost of treatment can put a significant strain on their finances, leading to psychological distress such as anxiety and depression. Emergency surgery under general anesthesia is often necessary for those with mechanical ocular injuries. The possibility of complications arising from the surgery and anesthesia can cause further anxiety and depression.
This study further classified patients based on the severity of visual impairment according to national standards. SAS total score and the positive rates of anxiety of individuals with mild visual impairment were significantly higher than those with low vision and blindness. Patients with mild visual impairment often with corneal perforating injuries, usually experience significant pain and discomfort despite minimal visual impairment. Pain can activate the hypothalamic-pituitary-adrenal (HPA) axis and sympathetic nervous system, contributing to anxiety.26 In the low vision group, there are more patients with ocular blunt trauma. Although blunt trauma can cause serious visual impairment like hyphema and lens dislocation, the patients experience fewer corneal irritation symptoms, pain, and discomfort and usually do not require emergency surgery during the acute stage. Hyphema can be absorbed quickly, and the loss of visual function due to lens dislocation can be corrected, with severe cases being treated under local anesthesia. Patients in the acute stage avoid the fear of general anesthesia and have a good visual prognosis, resulting in lower positive rates and anxiety levels. Most of the patients in the blindness group had eyeball rupture, severe vision impairment, and little chance of vision improvement the patients with blindness may accept this status, so they have little anxiety. However, the patients with blindness were prone to depression may be due to the severe injury of eyeball rupture and living difficulties caused by severe vision impairment.
Resilience is a psychological feature that promotes individual positive coping in the face of stress and adverse events and is a protective factor for anxiety and depression.27 This study showed that psychological resilience decreased after mechanical ocular injuries, which contributed to the occurrence of anxiety and depression. Resilience is influenced by factors such as occupation, family income, and social support from family and friends.28,29 Patients with ocular trauma experience high operation costs and often come from poor economic backgrounds with no stable income. Without adequate social support and financial resources, these patients can experience decreased psychological resilience and struggle to cope with adverse events, which may lead to depression.30 Worry is associated with unhealthy psychology and has a significant positive effect on anxiety.31 This study showed that worry promoted the generation of anxiety and depression in patients with mechanical ocular injuries. Patients are prone to anxiety and depression due to their concerns about the treatment effect, whether the injury will cause disability, and whether it will affect their facial appearance. Patients with severe mechanical ocular injuries are faced with the risk of general anesthesia surgery, uncertain visual prognosis, wound infection, eyeball atrophy, involvement of uninjured eyes, and other complications that make them more worried and prone to anxiety and depression.
The diagnosis and treatment of patients with mechanical ocular injuries should not only focus on the preservation of eye and visual function but also address their mental health. Multidisciplinary interventions should be implemented to improve patients’ psychological resilience and alleviate worry, which can ultimately enhance their psychological well-being and reduce the occurrence of adverse psychological events. Initiatives such as improving medical insurance coverage, establishing welfare organizations related to ocular trauma, and providing economic support to financially disadvantaged patients can also play a crucial role in reducing the psychological burden on these patients.
It is worth noting that this study has some limitations. First of all, our sample size is small, which may lead to problems such as uneven inversion and grouping and poor patient representation. Therefore, we need to expand the sample size in the follow-up experiment.
Secondly, we selected patients with 7-day mechanical ocular trauma in the acute stage as the study object, lacking follow-up at a later stage. Visual impairment in patients with acute pain is a major cause of anxiety and depression. In the acute phase, our results showed that SAS total score and the positive rates of anxiety of individuals with mild visual impairment were significantly higher than those with low vision and blindness. When the patient’s condition tends to be stable, he will face the inconvenience of life and work brought by vision loss, and even unemployment and other problems, which may be more direct factors in the change of mental state of patients in the later stage. This result has some limitations, lack of comparison with the long-term follow-up results. Based on this, we hope that follow-up trials will collect more patients in the long-term post-injury assessment.
Conclusion
To sum up, individuals who experience mechanical ocular injuries often have a higher likelihood of developing anxiety and depression. In such cases, psychological resilience and worry can have a significant impact on their mental health. Therefore, it is important to promptly evaluate the psychological status of patients with mechanical ocular injuries, provide appropriate psychological intervention, and alleviate negative emotions. This can improve the visual quality and prognosis of patients while also reducing the risk of adverse events related to cardiac abnormalities. The comprehensive evaluation of the psychological status of patients with mechanical eye injury, it has guiding significance for clinical diagnosis and treatment. In terms of clinical treatment and treatment: (1) Appropriate relief of patients’ pain discomfort in the acute phase and reduction of discomfort caused by pain. (2) Medical staff should strengthen the education work related to eye trauma, so that patients can better understand the relevant conditions and possible prognosis, reduce the fear caused by the unknown, and gain the trust and cooperation of patients. (3) In the acute stage, patients can be psychologically assessed, interdisciplinary diagnosis and treatment can be conducted according to the psychological status of patients, and corresponding intervention measures can be given to achieve mental health guidance for patients and avoid the occurrence of adverse events.
Data Sharing Statement
Data will be made available on reasonable request from the corresponding author.
Ethics Approval
This study was approved by the Ethics Committee of Tianjin Medical University General Hospital (approval number: IRB2022-YX-172-01). Our study complies with the Declaration of Helsinki.
Acknowledgments
The authors thank all study participants for their willingness to provide data for this research project and are indebted to all coworkers for their enthusiastic commitment.
Author Contributions
All authors made a significant contribution to the work reported, whether that is in the conception, study design, execution, acquisition of data, analysis, and interpretation, or in all these areas; took part in drafting, revising, or critically reviewing the article; gave final approval of the version to be published; have agreed on the journal to which the article has been submitted; and agree to be accountable for all aspects of the work.
Disclosure
The authors report no conflicts of interest in this work.
References
1. Rahman S, Hossain A, Alam S, et al. Mechanical eye trauma epidemiology, prognostic factors, and management controversies—an update. Open J Ophthalmol. 2021;11(04):348–363. doi:10.4236/ojoph.2021.114029
2. Zheng Y, Wu X, Lin X, Lin H. The prevalence of depression and depressive symptoms among eye disease patients: a systematic review and meta-analysis. Sci Rep. 2017;7(1):46453. doi:10.1038/srep46453
3. Ulhaq ZS, Soraya GV, Dewi NA, Wulandari LR. The prevalence of anxiety symptoms and disorders among ophthalmic disease patients. J Am Psychiatr Nurses Assoc. 2022;14:25158414221090100. doi:10.1177/25158414221090100
4. Mamtani N, Mamtani H, Chaturvedi S. Psychiatric aspects of ophthalmic disorders: a narrative review. Indian J Ophthalmol. 2023;71(5):1810–1815. doi:10.4103/ijo.IJO_2101_22
5. Wan K, Chen L, Young A. Depression and anxiety in dry eye disease: a systematic review and meta-analysis. Eye. 2016;30(12):1558–1567. doi:10.1038/eye.2016.186
6. Zhang H, Huang J, Long C. Influence of psychological intervention before emergent ocular trauma surgery on patients’ negative emotions. Eye Sci. 2014;29(2):74–77.
7. Yüksel H, Türkcü FM, Şahin M, et al. Vision-related quality of life in patients after ocular penetrating injuries. Arquivos Brasileiros de Oftalmologia. 2014;77(2):95–98. doi:10.5935/0004-2749.20140024
8. Bitar MS, Olson DJ, Li M, Davis RM. The correlation between dry eyes, anxiety and depression: the sicca, anxiety and depression study. Cornea. 2019;38(6):684–689. doi:10.1097/ico.0000000000001932
9. Mamtani H, Mamtani N, K Chaturvedi S. The curious case of ‘psycho-ophthalmology’: a narrative review of ophthalmological aspects of psychiatric disorders. Psychiatria Danubina. 2023;35(2):163–173. doi:10.24869/psyd.2023.163
10. Keys J, Dempster M, Jackson J, Williams M, Coyle S. The psychosocial impact of losing an eye through traumatic injury and living with prosthetic restoration: a thematic analysis. Acta Psychologica. 2021;219:103383. doi:10.1016/j.actpsy.2021.103383
11. Amsalem D, Dixon LB, Neria Y. The coronavirus disease 2019 (COVID-19) outbreak and mental health: current risks and recommended actions. JAMA psychiatry. 2021;78(1):9–10. doi:10.1001/jamapsychiatry.2020.1730
12. Newman MG, Llera SJ, Erickson TM, Przeworski A, Castonguay LG. Worry and generalized anxiety disorder: a review and theoretical synthesis of evidence on nature, etiology, mechanisms, and treatment. Annu Rev Clin Psychol. 2013;9:275–297. doi:10.1146/annurev-clinpsy-050212-185544
13. Wu L, Tan Y, Liu Y. Factor structure and psychometric evaluation of the Connor-Davidson resilience scale in a new employee population of China. BMC Psychiatry. 2017;17(1):1–7. doi:10.1186/s12888-017-1219-0
14. K-l E. Resilience: a protector from depression. J Am Psychiatr Nurses Assoc. 2005;11(4):241–243. doi:10.1177/1078390305281177
15. Biggs JT, Wylie LT, Ziegler VE. Validity of the Zung self-rating depression scale. Br J Psychiatry. 1978;132(4):381–385. doi:10.1192/bjp.132.4.381
16. Zhang D, Luo J, Peng L, Yu Z, Li L, Sun R. Factor analysis on survey results of the self-rating depression scale (SDS) in students. J Kunming Med Univ. 2012;5(33):61–63.
17. Zung WWK. A rating instrument for anxiety disorders. Psychosomatics. 1971;12(6):371–379. doi:10.1016/s0033-3182(71)71479-0
18. Tao M, Gao J. The reliability and validity of Chinese version of self-rating anxiety scale. Chin J Nerv Mental Dis. 1994;5:301–303.
19. Connor KM, Davidson JR. Development of a new resilience scale: the Connor‐Davidson resilience scale (CD‐RISC). Depression Anxiety. 2003;18(2):76–82. doi:10.1002/da.10113
20. Yu X, Zhang J. Factor analysis and psychometric evaluation of the Connor-Davidson resilience scale (CD-RISC) with Chinese people. Soc Behav Pers. 2007;35(1):19–30. doi:10.2224/sbp.2007.35.1.19
21. Meyer TJ, Miller ML, Metzger RL, Borkovec TD. Development and validation of the Penn state worry questionnaire. Behav Res Ther. 1990;28(6):487–495. doi:10.1016/0005-7967(90)90135-6
22. MacKinnon DP, Lockwood CM, Williams J. Confidence limits for the indirect effect: distribution of the product and resampling methods. Multivariate Behav Res. 2004;39(1):99–128. doi:10.1207/s15327906mbr3901_4
23. Tanaka-Matsumi J, Kameoka VA. Reliabilities and concurrent validities of popular self-report measures of depression, anxiety, and social desirability. J Consult Clin Psychol. 1986;54(3):328. doi:10.1037/0022-006X.54.3.328
24. Karaman S, Ozkan B, Gok M, et al. Effect of eye trauma on mental health and quality of life in children and adolescents. Intl Ophthalmol. 2017;37:539–544. doi:10.1007/s10792-016-0301-9
25. Klauke S, Sondocie C, Fine I. The impact of low vision on social function: the potential importance of lost visual social cues. J Optom. 2023;16(1):3–11. doi:10.1016/j.optom.2022.03.003
26. Xu L, Chen S, Xu K, et al. Prevalence and associated factors of depression and anxiety among Chinese diabetic retinopathy patients: a cross-sectional study. PLoS One. 2022;17(4):e0267848. doi:10.1371/journal.pone.0267848
27. Zhang J, Yang Z, Wang X, et al. The relationship between resilience, anxiety and depression among patients with mild symptoms of COVID‐19 in China: a cross‐sectional study. J Clin Nurs. 2020;29(21–22):4020–4029. doi:10.1111/jocn.15425
28. Jang MH, Park J, Chong MK, Sok SR. Factors influencing resilience of burn patients in South Korea. J Nurs Scholarsh. 2017;49(5):478–486. doi:10.1111/jnu.12311
29. Kim JI, Byeon YS. A study on the factors affecting resilience in patients with colon cancer. Asian Oncol Nurs. 2013;13(4):256–264. doi:10.5388/aon.2013.13.4.256
30. Hu T, Xiao J, Peng J, Kuang X, He B. Relationship between resilience, social support as well as anxiety/depression of lung cancer patients: a cross-sectional observation study. J Cancer Res Ther. 2018;14(1):72–77. doi:10.4103/jcrt.JCRT_849_17
31. Chelminski I, Zimmerman M. Pathological worry in depressed and anxious patients. J Anxiety Disord. 2003;17(5):533–546. doi:10.1016/S0887-6185(02)00246-3
© 2025 The Author(s). This work is published and licensed by Dove Medical Press Limited. The
full terms of this license are available at https://www.dovepress.com/terms.php
and incorporate the Creative Commons Attribution
- Non Commercial (unported, 3.0) License.
By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted
without any further permission from Dove Medical Press Limited, provided the work is properly
attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms.
Recommended articles

A Narrative Review of Research on Adjustment to Spinal Cord Injury and Mental Health: Gaps, Future Directions, and Practice Recommendations
Sandalic D, Arora M, Pozzato I, Simpson G, Middleton J, Craig A
Psychology Research and Behavior Management 2022, 15:1997-2010
Published Date: 5 August 2022

AI Technology panic—is AI Dependence Bad for Mental Health? A Cross-Lagged Panel Model and the Mediating Roles of Motivations for AI Use Among Adolescents
Huang S, Lai X, Ke L, Li Y, Wang H, Zhao X, Dai X, Wang Y
Psychology Research and Behavior Management 2024, 17:1087-1102
Published Date: 12 March 2024


Longitudinal Problematic Social Media Use in Students and Its Association with Negative Mental Health Outcomes
Shannon H, Bush K, Shvetz C, Paquin V, Morency J, Hellemans KGC, Guimond S
Psychology Research and Behavior Management 2024, 17:1551-1560
Published Date: 8 April 2024
How Physical Exercise Reduces Problematic Mobile Phone Use in Adolescents: The Roles of Expression Suppression, Depression, Anxiety, and Resilience
Ji F, Sun Q, Han W, Li Y, Xia X
Psychology Research and Behavior Management 2024, 17:4369-4382
Published Date: 21 December 2024
From East to West: Regional Disparities in Depressive and Anxious Symptoms Among Chinese Adolescents
Yang R, Yang XJ, Wan JL, Wang LL, Deng H, Chen JX, Zhou SJ
Psychology Research and Behavior Management 2025, 18:1359-1369
Published Date: 12 June 2025