77 Graduate Student Journal of Psychology Spring 2024 - Vol. 22 Copyright 2024 by the Department of Counseling and Clinical Psychology Teachers College, Columbia University Examining Coping Skills, Anxiety, and Depression Dynamics Amidst the COVID-19 Pandemic Lauren Moment Department of Psychology, University of Colorado, Denver This cross-sectional study, conducted amid the COVID-19 pandemic, delves into the intricate connections be- tween coping strategies and levels of anxiety and depression, presenting vital implications for medical, clinical, and broader societal contexts. As crises like the pandemic highlight the importance of adaptive coping, this investigation underscores the imperative to comprehend and address maladaptive coping strategies. The study utilized a diverse sample of 386 participants during the pandemic's peak, employing online platforms for recruitment and ensuring broad demographic representation. Data were collected through self-report measures, including the Patient Health Questionnaire-4 (PHQ-4) for depression and anxiety symptoms and the Brief Coping Orientation to Problems Experienced (COPE) inventory to assess coping skills across various domains. The coping skills assessment mea- sured strategies such as Self-Distraction, Active Coping, Denial, Substance Use, Emotional and Instrumental Support, Behavioral Disengagement, Venting, Positive Reframing, Planning, Humor, Acceptance, Religion, and Self-Blame. The Colorado Multiple Institutional Review Board prioritized and approved ethical considerations, and participants provided informed consent. Data analysis involved rigorous cleaning, recoding, and quantitative analysis using SPSS. Descriptive statistics, regression analyses, and correlation analyses were employed to uncover nuanced relationships between coping strategies and mental health outcomes, contributing to understanding the phenomena under investigation within the context of the pandemic. The findings highlight the pivotal role of individualized approaches and the potential of humor as an essential coping mechanism, emphasizing the need for tailored interventions during crises. Keywords: pandemic, COVID-19, anxiety, depression, coping skills Coping skills have gained significant atten- tion for their profound impact on psychologi- cal well-being, particularly in the face of height- ened stressors such as the ongoing COVID-19 pandemic. This exploration delves into the intricate relationship between coping skills, depression, and anxiety, emphasizing critical studies that contribute to our understanding of these complex dynamics. The relationship between coping mechanisms and mental health outcomes, specifically depression and anxiety, has been extensively investigated. As the pan- demic continues to present unprecedented challenges to global well-being, understanding the dynamics of coping in this context becomes crucial. The Transac- tional Model of Stress and Coping provides a foun- dational framework, emphasizing the dynamic na- ture of the stress-coping process (Etchin et al., 2020). Yeşiloğlu et al. (2023) further classify coping strategies into problem-focused and emotion-focused, shed- ding light on their distinct impacts on mental health. Adaptive and maladaptive coping strategies play pivotal roles in elucidating the nuanced rela- tionships between coping mechanisms and mental health outcomes. Features of anxiety and depres- sion may exhibit adaptive characteristics, emphasiz- ing the need for an understanding of coping strate- gies beyond a binary categorization (Morris, 2019). Adaptive coping is conceptualized as strategies facili- tating effective stress management, enhancing resilience, and contributing to overall psychological well-being. Examples include seeking emotional and instrumental support, positive reframing, active problem-solving, and employing humor. These adaptive coping mecha- nisms are considered beneficial in navigating challeng- es and promoting mental health during times of crisis. In contrast, maladaptive coping is characterized by strategies that may exacerbate stress, contribute to symp- tomatology, and hinder psychological resilience, includ- ing self-blame, denial, substance use, and behavioral disengagement. Specific coping mechanisms may be con- text-dependent, exhibiting adaptive or maladaptive qual- ities based on circumstances and individual differences. Coping Skills and Anxiety The interplay between coping skills and anxiety unravels the complexities of adaptive and maladaptive responses to stress, shedding light on the diverse strat- egies individuals employ to manage anxious thoughts and emotions. Aldwin and Revenson (1987) have sig- nificantly contributed to our comprehension of this relationship by establishing a correlation between ef- fective coping strategies and reduced levels of anxiety. The effectiveness of adaptive coping strategies, particularly those focused on problem-solving, has been consistently demonstrated in alleviating symp- toms associated with anxiety (Buffart et al., 2020). En- gaging in active problem-solving empowers individu- als to confront stressors directly, disrupting the cycle of anxious thoughts and fostering a sense of control over 78 their circumstances. Conversely, maladaptive coping strategies, such as wishful thinking or avoidance, fuel the perpetuation of anxiety symptoms, emphasizing the importance of distinguishing between adaptive and maladaptive coping approaches (Carver et al., 1989). Coping Skills and Depression The relationship between coping skills and depres- sion has been a focal point in psychological literature. Maladaptive coping strategies, such as avoidance and rumination, consistently surface as significant contrib- utors to the exacerbation of depressive symptoms (Al- dao et al., 2010). Southward, Howard, and Cheavens (2023) conducted a comprehensive study highlighting the detrimental effects of maladaptive coping strate- gies on mental health, particularly with depression. Avoidance mechanisms may prolong negative emotional experiences. Similarly, rumination, charac- terized by repetitive and intrusive negative thinking, has been identified as a significant risk factor for the development and perpetuation of depressive symp- toms over time (Nolen-Hoeksema, 1991). Addressing these maladaptive coping strategies is crucial for un- raveling the complex dynamics underlying depression. Coping During the COVID-19 Pandemic: A Multifaceted Perspective Recent studies underscore the relevance of coping skills in navigating the challenges posed by significant life disruptions, such as the ongo- ing COVID-19 pandemic. Research by Gurvich et al. (2021) and Holmes et al. (2020) emphasiz- es the importance of effective coping mechanisms in fostering resilience during unprecedented times. In navigating the mental health implications of the COVID-19 pandemic, individuals have been compelled to employ coping strategies to manage heightened anxiety levels. Research by Ogueji et al. (2021) on coping strategies in the United Kingdom during the pandemic provides valuable insights into the adaptive mechanisms individuals adopt to cope with the stressors unique to this global health cri- sis. Similarly, the survey by Kar et al. (2021) delves into stress and coping during the pandemic, un- derscoring the importance of effective coping in mitigating the psychological impact of the crisis. These studies, situated within the context of a global pandemic, serve as examples of the relevance and urgency of understanding coping skills, particu- larly in managing anxiety during significant life disrup- tions. They underscore the need to understand cop- ing dynamics and the potential adaptation of coping mechanisms in response to unprecedented stressors. Adaptive Coping as a Protective Factor In contrast to maladaptive coping, adaptive coping strategies emerge as protective factors in mitigating the impact of stress on mental health, particularly in the context of depression. Problem-solving, a fundamen- tal component of adaptive coping, involves actively ad- dressing stressors and employing constructive solutions to navigate challenges effectively (Compas et al., 2001). Another adaptive strategy, seeking social sup- port, has been consistently associated with pos- itive mental health outcomes. Compas et al. (2001) highlighted the protective effect of adap- tive coping by linking problem-solving and social support-seeking with lower levels of depression. Nuanced Roles of Coping Mechanisms The understanding of coping mechanisms and their roles in influencing mental health outcomes sets the stage for an exploration of the interplay be- tween coping and depressive symptoms. Research has not only elucidated the distinct impact of mal- adaptive and adaptive coping but has also empha- sized the need for a holistic approach to intervention. The complexity of the relationship under- scores the importance of tailoring therapeutic strategies to address individual coping profiles and their specific implications for mental health. Exploring Coping Styles in Response to Societal Changes Gurvich et al. (2021) delve into the intricate dy- namics of coping styles in response to societal changes during the pandemic. This study sheds light on indi- viduals' coping strategies as societal norms change. The significance of this research lies in its contribu- tion to our understanding of coping as a dynam- ic and adaptive process that individuals engage in when faced with transformative societal challenges. Diverse Populations and Coping Dynamics Studies conducted by Savitsky et al. (2020) have taken a comprehensive approach to explore coping during the pandemic across diverse populations. These investigations unravel the intricate interplay between coping strategies, mental health outcomes, and overall quality of life. By examining coping mechanisms across various demographic groups, these studies contribute to understanding how different population segments MOMENT 79 navigate stress and adversity during the pandemic. Healthcare Workers: Coping on the Frontlines The study conducted by Rose et al. (2021) serves as an investigation into the coping mechanisms em- ployed by healthcare workers, shedding light on the distinctive challenges faced by those on the frontlines of the COVID-19 pandemic. Healthcare profession- als, as frontline workers, navigate an array of stressors, including high work demands, exposure to the virus, and witnessing the impact of the pandemic on patients. Understanding the coping dynamics of health- care workers is paramount for several reasons. Healthcare professionals are subjected to height- ened levels of stress and emotional strain due to the nature of their work, potentially leading to burn- out and mental health challenges (Shanafelt et al., 2020). A study by Lai et al. (2020) highlights the prevalence of anxiety and depression among health- care workers during the COVID-19 pandemic, un- derscoring the need for effective coping strategies. Moreover, the well-being of healthcare workers has broader implications for public health. An overbur- dened and stressed healthcare workforce is more suscep- tible to making errors, experiencing reduced job satis- faction, and facing challenges in delivering high-quality patient care (West et al., 2018). Therefore, the psy- chological health of healthcare workers is essential to maintaining a resilient and effective healthcare system. In the context of the COVID-19 pandemic, understanding and addressing the mental health of healthcare workers has also become crucial for the broader community. The psychosocial well-being of healthcare professionals influences their abili- ty to effectively manage the challenges posed by the pandemic, contributing to the overall resilience of the healthcare system (Kisely et al., 2020). As high- lighted by Greenberg et al. (2020), the mental health of frontline workers is critical in ensuring a sus- tained and robust response to public health crises. Contributions to the Evolving Narrative These studies contribute to the evolving nar- rative on coping during the COVID-19 pandem- ic. These investigations provide an examination of coping from various angles, considering different populations and contexts, and emphasizing the dy- namic nature of coping strategies. The current in- vestigation strategically adopts a cross-sectional de- sign to align with this complex landscape, capturing a timely snapshot of how coping strategies relate to anxiety and depression during the ongoing pandemic. Hypotheses 1. Self-Distraction Hypothesis: Individuals who employ self-distraction as a coping mechanism (redi- recting attention to activities) will exhibit lower levels of anxiety and depression compared to those who do not engage in this coping strategy. 2. Active Coping Hypothesis: Participants who pro- actively address stressors through active coping strat- egies will demonstrate lower anxiety and depression levels than individuals who lack operational coping tendencies. 3. Denial Hypothesis: Individuals who frequently resort to denial as a coping strategy (avoiding or refus- ing to acknowledge stressors) will display higher levels of anxiety and depression compared to those who em- ploy alternative coping mechanisms. 4. Substance Use Hypothesis: Participants who turn to substances as a coping mechanism will exhibit el- evated levels of anxiety and depression compared to those who utilize alternative coping strategies. 5. Emotional Support Hypothesis: Individuals who seek emotional support (seeking empathy and under- standing from others) will demonstrate lower anxiety and depression levels compared to those who do not actively pursue emotional support. 6. Instrumental Support Hypothesis: Participants who seek tangible assistance or advice (use instrumen- tal support) as a coping strategy will exhibit lower lev- els of anxiety and depression compared to those who do not engage in this coping mechanism. 7. Behavioral Disengagement Hypothesis: Individ- uals who frequently withdraw from stressors through behavioral disengagement will display higher levels of anxiety and depression compared to those who em- ploy alternative coping strategies. 8. Venting Hypothesis: Participants who express negative emotions through venting as a coping strate- gy will demonstrate lower levels of anxiety and depres- sion compared to individuals who do not engage in this coping mechanism. 9. Positive Reframing Hypothesis: Individuals who reinterpret stressors in a positive light through positive reframing will exhibit lower levels of anxiety and depression compared to those who do not employ this coping strategy. 10. Planning Hypothesis: Participants who engage EXAMINING COPING SKILLS, ANXIETY, AND DEPRESSION 80 in planning and strategizing to overcome stressors will demonstrate lower anxiety and depression levels com- pared to those who lack effective planning as a coping mechanism. 11. Humor Hypothesis: Individuals who find hu- mor in challenging situations will exhibit lower levels of anxiety and depression compared to those who do not use humor as a coping strategy. 12. Acceptance Hypothesis: Participants who ac- knowledge and accept stressors (acceptance as a cop- ing strategy) will demonstrate lower levels of anxiety and depression compared to those who struggle with accepting stressors. 13. Religion Hypothesis: Individuals who turn to religious or spiritual beliefs as a coping mechanism will exhibit lower levels of anxiety and depression com- pared to those who do not engage in religious coping strategies. 14. Self-Blame Hypothesis: Participants who take responsibility for stressors through self-blame will dis- play higher levels of anxiety and depression compared to those who employ alternative coping mechanisms. Methods Study Design A cross-sectional design was employed to in- vestigate the relationships among coping skills, anx- iety, and depression. The selection of a cross-sec- tional approach allowed the researcher to examine these variables simultaneously, providing a snapshot of their associations within a specific timeframe. The adoption of a cross-sectional design con- ferred several distinct advantages to this investiga- tion. It facilitated a thorough exploration of the dy- namic interplay between coping skills, anxiety, and depression without necessitating a protracted ob- servational period. This data collection and analysis efficiency is particularly noteworthy, enabling the re- searcher to understand the relationships among these variables within a relatively condensed timeframe. The cross-sectional design further empowered the researcher to discern patterns and associations in real-time, capturing a momentary cross-section of participants' experiences and mental health dynam- ics. By leveraging the advantages of the cross-sec- tional approach, the study not only efficiently inves- tigated the interconnections among coping skills, anxiety, and depression but also provided a timely and relevant depiction of these associations. This design choice reflects a pragmatic and effective methodological strategy, enhancing the study's ca- pacity to contribute meaningful insights to the ex- isting body of knowledge in mental health research. Participants These data were collected during the Summer and Fall of 2020, the pinnacle of the COVID-19 pandemic. A total of 386 participants contribut- ed to this study by completing assessments related to coping skills, anxiety, and depression. The di- verse participants ensured a broad representation of demographics and experiences (See Table 1). Recruitment The study employed a recruitment strategy le- veraging various online platforms such as Canvas, Facebook, Twitter, Instagram, and Reddit. The re- cruitment aimed to assemble a sample (N = 386) that met specific eligibility criteria, including be- ing over 18 years old and proficient in English. Measures and Coping Skills Assessment As part of the self-report measures, participants engaged with the Patient Health Questionnaire-4 (PHQ-4), a succinct four-item tool designed to as- sess symptoms of depression and anxiety over the preceding two weeks. The PHQ-4 utilized a scoring system to categorize responses, where a total score greater than or equal to three for the first two ques- tions indicated anxiety and the same threshold for the last two questions suggested depression. Scores were further stratified into normal (0-2), mild (3-5), mod- erate (6-8), and severe (9-12) categories, offering an understanding of participants' mental health status. Additionally, participants completed a coping skills inventory, a robust instrument known as the Brief Coping Orientation to Problems Experienced inventory. This tool measured coping skills across various domains without employing reversals of cod- ing. The following coping skills were assessed, each associated with specific items that were summed: 1. Self-Distraction (Items 1 and 19): Redirecting attention to activities to cope with stress. 2. Active Coping (Items 2 and 7): Proactively ad- dress stressors. 3. Denial (Items 3 and 8): Avoiding or refusing to acknowledge stressors. 4. Substance Use (Items 4 and 11): Turning to substances as a coping mechanism. 5. Use of Emotional Support (Items 5 and 15): MOMENT 81 Seeking empathy and understanding from others. 6. Use instrumental support (Items 10 and 23): Seeking tangible assistance or advice. 7. Behavioral Disengagement (Items 6 and 16): Withdrawing from stressors. 8. Venting (Items 9 and 21): Expressing negative emotions. 9. Positive Reframing (Items 12 and 17): Reinter- preting stressors in a positive light. 10. Planning (Items 14 and 25): Strategizing to overcome stressors. 11. Humor (Items 18 and 28): Finding Humor in challenging situations. 12. Acceptance (Items 20 and 24): Acknowledg- ing and accepting stressors. 13. Religion (Items 22 and 27): Turning to reli- gious or spiritual beliefs. 14. Self-Blame (Items 13 and 26): Taking respon- sibility for stressors. These coping skills, each measured by specif- ic items, contributed to an understanding of par- ticipants' strategies for dealing with stress and ad- versity—the assessment aimed to uncover how individuals approach and navigate life challenges. Procedures Ethical considerations were paramount in conducting this research, and the study received approval from the Colorado Multiple Institu- tional Review Board (COMIRB). Participants pro- vided informed consent before completing online surveys, a process overseen by the COMIRB (iden- tification number 20-2870). The survey took ap- proximately 30 minutes, thoroughly exploring par- ticipants' coping mechanisms and mental health. Data Analysis Quantitative data, exported from Qualtrics to SPSS v27, underwent a systematic analysis. Initial recording aligned responses with predefined scales, facilitating categorization and interpretation—rigorous cleaning and recoding followed to enhance data reliability and validity. Descriptive statistics provided an overview, including mean and standard deviations. Regression analyses explored variable relationships, identifying potential predictors. Correlation analyses delved into associations, unveiling patterns and interdependencies within the dataset. This analytical approach aimed to extract insights from the collected data, contributing to a robust understanding of the investigated phenomena. Results The descriptive statistics and correlations for anx- iety, depression, and various study variables were ex- amined in a sample of 386 participants (see Table 2). The mean anxiety score was 4.83 (SD = 2.04), which is within the range of mild anxiety, and the mean de- pression score was 4.72 (SD = 2.06), which is within the range of mild depression. Among the coping strat- egies assessed, Self-Distraction exhibited a positive cor- relation with anxiety (r = 0.23, p < .01) and a positive, albeit less substantial, correlation with depression (r = 0.15, p < .05). Active Coping, on the other hand, showed a negative correlation with both anxiety (r = -0.16, p < .05) and depression (r = -0.29, p < .01). The Use of Emotional Support was negatively correlated with both anxiety (r = -0.18, p < .01) and depression (r = -0.34, p < .01), indicating that higher utilization of emotional support was associated with lower levels of anxiety and depression. Similar patterns were observed for the Use of Instrumental Support, with a negative correlation with depression (r = -0.28, p = < .01). Behavioral Disengagement demonstrated positive correlations with anxiety (r = 0.22, p < .01) and depression (r = 0.36, p < .01). Positive Reframing demonstrates a negative association with depression (r = -0.18, p < .01), suggesting that individuals employ- ing positive reframing may experience lower depres- sion levels. Planning demonstrates a positive associa- tion with anxiety (r = 0.27, p < .01) and depression (r = 0.23, p < .01). suggesting that individuals employing planning may experience higher anxiety and depres- sion levels. Notably, Humor was strongly negatively correlated with both anxiety (r = -0.43, p < .01) and depression (r = -0.43, p < .01). Religion showed a neg- ative correlation with depression (r = -0.18, p < .01), but no significant correlation with anxiety. Self-Blame displayed positive correlations with both anxiety (r = 0.34, p < .01) and depression (r = 0.29, p < .01). The anxiety and depression scores were highly correlated (r = 0.65, p < .01), emphasizing a strong association between anxiety and depression within the sample. The regression analysis for anxiety (see Table 3) reveals several coping styles with significant associ- ations. Notably, engaging in Humor (B = -0.51, β = -0.29, t = -4.42, p < .001) is strongly linked to lower anxiety levels. Additionally, Self-Blame (B = 0.35, β = 0.27, t = 3.36, p < .001) exhibits a positive associ- EXAMINING COPING SKILLS, ANXIETY, AND DEPRESSION 82 ation with anxiety, indicating that individuals em- ploying Self-Blame as a coping mechanism are more likely to experience heightened anxiety. These rela- tionships are robust, as reflected in the wide 95% con- fidence intervals (CI) for both Humor (LL = 0.28, UL = 0.74) and Self-Blame (LL = 0.14, UL = 0.55), further supporting the reliability of these findings. The regression analysis for depression (see Table 4) also highlights significant coping styles. Behavioral Disengagement (B = 0.30, β = 0.253 t = 4.43, p < .001) is positively associated with depression, suggesting that individuals utilizing this coping mechanism may experience elevated depressive symptoms. In contrast, Humor (B = -0.44, β = -0.23, t = -4.10, p < .001) is negatively associated with depression, suggesting that individuals utilizing these coping mechanisms may experience lower depressive symptoms. The Use of Emotional Support (B = -0.19, β = -0.19, t = -2.68, p = 0.008) and Religion (B = -0.20, β = -0.15, t = -2.35, p = 0.02) demonstrate negative associations with depres- sion, indicating that these coping styles are linked to lower depressive symptoms. Conversely, Acceptance (B = 0.23, β = 0.17, t = 2.53, p = 0.01) is positively asso- ciated with depression, suggesting that individuals uti- lizing this coping mechanism may experience elevated depressive symptoms. The 95% CI for these signifi- cant relationships further strengthens their validity. Several coping styles did not exhibit statistically significant associations with anxiety and depression. These include Self-Distraction, Active Coping, De- nial, Substance Use, Use of Emotional Support, Use of Instrumental Support, Venting, Positive reframing, Planning, Acceptance, and Religion in the context of anxiety, as well as Self-Distraction, Active Coping, Denial, Substance Use, Use of Instrumental Support, Venting, Positive reframing, and Planning in the con- text of depression. The lack of statistical significance suggests that these coping styles may not be directly linked to anxiety or depression in the studied popu- lation, underscoring the diversity of coping mecha- nisms individuals employ, and emphasizing the need for personalized approaches in clinical interventions. The consideration of unstandardized coeffi- cients (B), standardized coefficients (β), t-values, p-values, and 95% confidence intervals enhances the robustness and interpretability of these findings in the context of mental health outcomes. This analy- sis provides an understanding of how specific coping styles relate to anxiety and depression, shedding light on both significant and non-significant associations. Discussion The multiple linear regression analyses yield cru- cial insights into the intricate relationships between coping styles and anxiety and depression. Contextual- izing these findings within the broader framework of significant life disruptions, such as those experienced during the COVID-19 pandemic and other catastroph- ic events, is essential. Regarding coping styles and anxiety, Humor exhibits a negative association with anxiety levels, aligning with contemporary literature emphasizing its effectiveness as a stress-coping strategy (Marziali et al., 2008). It emerges as a protective fac- tor against depression, supporting its mood-enhanc- ing and stress-reducing effects, particularly relevant during major life disruptions (Chen & Lim, 2022). The positive association observed between Self- Blame and anxiety underscores the maladaptive nature of this coping style, particularly during crises (Maun- der et al., 2010). The inclination toward Self-Blame may exacerbate anxiety symptoms, emphasizing the importance of identifying and redirecting such mal- adaptive coping. Additionally, the link between Be- havioral Disengagement and higher depression levels reinforces the need to address maladaptive coping that could lead to heightened depression (Bonanno, 2004). The findings also highlight the potential vul- nerability of disengaging from Active Coping strat- egies when facing adversity. The significant negative associations of the Use of Emotional Support and Acceptance with depression underscore the pivot- al role of social support and adaptive Acceptance in promoting mental well-being, aligning with studies emphasizing the importance of interpersonal con- nections during crises (Rosen et al., 2022). Behaviors that accentuate Emotional and Instrumental Sup- port, Humor, and Acceptance align with identified protective factors against depression and anxiety. Recognizing the diverse nature of individual cop- ing mechanisms is essential. (Stanley et al., 2021). The unique nature of crises emphasizes the need for tar- geted interventions that address maladaptive coping strategies, such as Self-Blame, pervasive in the after- math of catastrophic events. It is crucial to recognize ineffective coping mechanisms and redirect them to- wards more constructive approaches. This aligns with MOMENT 83 established best practices outlined by the National Academies of Sciences, Engineering, and Medicine (2019), emphasizing the importance of psychoeduca- tion to enhance emotional and instrumental support. The literature on coping during catastrophic events underscores the need for a multifaceted ap- proach. Studies highlight the importance of com- munity-level coping strategies in the aftermath of large-scale disasters, emphasizing the interconnect- edness of individual coping with broader societal re- sponses (Bonanno et al., 2010). The collective efficacy of communities in navigating and recovering from catastrophic events is an essential aspect that comple- ments individual coping strategies (Kocalevent et al., 2015). Their research suggests that resilience is not a uniform trait, and individuals may employ various coping mechanisms based on their unique characteris- tics and circumstances (Bonanno & Diminich, 2013). The implications of effective coping mechanisms in the context of catastrophic events extend beyond in- dividual well-being to encompass broader societal re- silience (Norris et al., 2008. The ongoing COVID-19 pandemic serves as a backdrop to these insights, em- phasizing the need for adaptive coping strategies at the community level. As we navigate the aftermath of such events, an approach that addresses maladap- tive coping enhances support systems, contribut- ing to a more resilient and mentally healthy society. Non-professionals can also independently im- plement effective coping strategies. These strategies can promote an individual's resilience and well-being by fostering supportive social networks and seeking tangible assistance when needed. In the broader con- text of community and societal well-being, awareness campaigns and educational initiatives become crucial. By disseminating information about effective coping strategies, the public can learn to create a more sup- portive and resilient society. This can enable individu- als to cope better with challenging situations (Holmes et al., 2020; World Health Organization, 2020). Future Directions It is imperative to broaden our investigation into sleep patterns and their potential interplay with men- tal health challenges, specifically anxiety and depres- sion. Sleep, acknowledged as a pivotal factor in mental well-being, represents a relatively uncharted terrain within the context of coping skills. Probing into how coping skills might influence sleep quality and, recipro- cally, how disrupted sleep patterns might impact mental health outcomes holds the promise of unveiling novel dimensions in our understanding of these phenomena. Recognizing the bidirectional relationship be- tween coping skills and sleep could furnish insights into the holistic well-being of individuals contending with anxiety and depression. Sleep disturbances have been correlated with a spectrum of mental health chal- lenges, and exploring this link within the framework of coping skills may furnish valuable information for de- veloping integrated interventions (Zhao et al., 2022). To propel our understanding further, future re- search endeavors may employ methodologies such as longitudinal studies or ecological momentary assess- ments, to capture real-time fluctuations in coping skills and sleep patterns. Additionally, investigating potential mediating or moderating factors, such as stress or anxiety, could contribute to a more compre- hensive understanding of the intricate connections between coping skills, anxiety, depression, and sleep. This study not only advances our understanding of coping skills and their associations with anxiety and depression but also lays the groundwork for future re- search initiatives, therapeutic approaches, and support mechanisms tailored to the unique needs of individuals grappling with these complex mental health challenges. Limitations This study is subject to certain limitations that should be considered when interpreting the results. One notable limitation is the overrepresentation of women in the clinically significant range for de- pression and anxiety. Additionally, the study's fo- cus on a sample of notably younger and technolog- ically adept participants raises the possibility that the results may apply primarily to specific demo- graphic subsets rather than the entire population. Moreover, the study was conducted amid the COVID-19 pandemic, a period associated with a heightened prevalence of depression and anxiety. This temporal context could impact the results, potentially leading to an overestimation of mental health issues. Researchers conducting similar stud- ies with larger samples experiencing depression and anxiety should be cautious about generalizing find- ings to populations unaffected by pandemic-relat- ed stressors. Therefore, recognizing the influence of the pandemic on mental health trends is crucial for a nuanced interpretation of study outcomes. EXAMINING COPING SKILLS, ANXIETY, AND DEPRESSION 84 Conclusion Understanding coping strategies and their profound implications for depression extends be- yond clinical settings. Recognizing individual cop- ing patterns and tailoring interventions accord- ingly empowers both clinicians and individuals to contribute actively to advancing mental health and alleviating depression. This approach address- es the immediate needs of individuals and fosters a cultural shift towards a more empathetic and in- formed approach to mental health and well-being. Comprehending coping strategies becomes even more crucial amid significant life disruptions, such as the ongoing COVID-19 pandemic, emphasizing the need for effective coping mechanisms on a societal scale. The insights gained from understanding coping strategies during such turbulent times aid in imme- diate crisis management and contribute to the resil- ience and adaptability of individuals facing adversity. This study unveils the myriad coping strate- gies individuals adopt to navigate the complexities of mental health challenges. The insights gleaned offer a nuanced perspective on how coping skills may relate to emotional experiences and well-be- ing during heightened stress and uncertainty. Exploring coping strategies within the context of life-altering events is crucial for tailoring interven- tions to the unique needs of individuals experiencing mental health challenges. This research provides a timely contribution to our understanding of cop- ing dynamics amid significant societal upheavals, facilitating the development of targeted strategies to support mental well-being during times of crisis. Comprehending coping strategies extends beyond individual well-being to societal resilience, especially during the unparalleled challenges posed by events like the COVID-19 pandemic. Tailoring interven- tions to the distinctive needs of individuals grappling with mental health challenges during such disruptive events is integral to fostering a more adaptive society. Acknowledgments The author thanks Dr. Timothy Benke and Dr. Erik Oleson for their invaluable guidance and stead- fast support throughout the research process. Their expertise and unwavering commitment significantly contributed to the study's development and execu- tion. The author profoundly appreciates their men- torship and scholarly advice, which greatly enhanced the quality of the work. Dr. Benke and Dr. Oleson's unwavering belief in the research, continuous encour- agement, and commitment to academic excellence were instrumental in overcoming challenges. The au- thor acknowledges their mentors' profound impact on the study and expresses sincere gratitude for the priv- ilege of collaborating with such remarkable mentors. References Aldao, A., Nolen-Hoeksema, S., & Schweizer, S. (2010). Emotion-regulation strategies across psy- chopathology: A meta-analytic review. Clinical Psychology Review, 30(2), 217–237. https://doi. org/10.1016/j.cpr.2009.11.004 Aldwin, C. M., & Revenson, T. A. (1987). Does cop- ing help? A reexamination of the relation between coping and mental health. Journal of Personality and Social Psychology, 53(2), 337–348. https:// doi.org/10.1037//0022-3514.53.2.337 Bonanno G. A. (2004). Loss, trauma, and human resil- ience: have we underestimated the human capac- ity to thrive after extremely aversive events? The American Psychologist, 59(1), 20–28. https://doi. org/10.1037/0003-066X.59.1.20 Bonanno, G. A., Brewin, C. R., Kaniasty, K., & Gre- ca, A. M. (2010). Weighing the costs of disaster: Consequences, risks, and resilience in individu- als, families, and communities. Psychological Sci- ence in the Public Interest: A Journal of the Amer- ican Psychological Society, 11(1), 1–49. https:// doi.org/10.1177/1529100610387086 Bonanno, G. A., & Diminich, E. D. (2013). Annual research review: Positive adjustment to adversi- ty--trajectories of minimal-impact resilience and emergent resilience. Journal of Child Psychology and Psychiatry, and Allied Disciplines, 54(4), 378–401. https://doi.org/10.1111/jcpp.12021 Budimir, S., Probst, T., & Pieh, C. (2021). Coping strategies and mental health during COVID-19 lockdown. Journal of Mental Health (Abingdon, England), 30(2), 156–163. https://doi.org/10.10 80/09638237.2021.1875412 Buffart, L.M., Schreurs, M.A., Abrahams, H.J., Kalter, J., Aaronson, N.K., Jacobsen, P.B., Newton, R.U., Courneya, K.S., Armes, J., Arving, C. and Braamse, A.M., 2020. Effects and moderators of coping skills training on symptoms of depression MOMENT 85 and anxiety in patients with cancer: Aggregate data and individual patient data meta-analyses. Clinical Psychology Review, 80, p.101882. Carver, C. S., Scheier, M. F., & Weintraub, J. K. (1989). Assessing coping strategies: a theoreti- cally based approach. Journal of Personality and Social Psychology, 56(2), 267–283. https://doi. org/10.1037//0022-3514.56.2.267 Chen, C. J., & Lim, S. (2022). Examining the effect of COVID-19 pandemic on exercise behavior and perceived academic stress among U.S. college stu- dents. Journal of American College Health : J of ACH, 1–7. Advance online publication. https:// doi.org/10.1080/07448481.2022.2094202 Compas, B. E., Connor-Smith, J. K., Saltzman, H., Thomsen, A. H., & Wadsworth, M. E. (2001). Coping with stress during childhood and adoles- cence: Problems, progress, and potential in the- ory and research. Psychological Bulletin, 127(1), 87–127. Etchin, A. G., Fonda, J. R., McGlinchey, R. E., & Howard, E. P. (2020). Toward a system theory of stress, resilience, and reintegration. Advanc- es in Nursing Science, 43(1), 75–85. https://doi. org/10.1097/ANS.0000000000000277 Fullana, M. A., Hidalgo-Mazzei, D., Vieta, E., & Rad- ua, J. (2020). Coping behaviors associated with de- creased anxiety and depressive symptoms during the COVID-19 pandemic and lockdown. Journal of Affective Disorders, 275, 80–81. https://doi. org/10.1016/j.jad.2020.06.027 Gurvich, C., Thomas, N., Thomas, E. H., Hudaib, A. R., Sood, L., Fabiatos, K., Sutton, K., Isaacs, A., Arunogiri, S., Sharp, G., & Kulkarni, J. (2021). Cop- ing styles and mental health in response to societal changes during the COVID-19 pandemic. The In- ternational Journal of Social Psychiatry, 67(5), 540– 549. https://doi.org/10.1177/0020764020961790 Greenberg, N., Docherty, M., Gnanapragasam, S., & Wessely, S. (2020). Managing mental health chal- lenges faced by healthcare workers during covid-19 pandemic. BMJ (Clinical research ed.), 368, m1211. https://doi.org/10.1136/bmj.m1211 Hawes, M. T., Szenczy, A. K., Klein, D. N., Hajcak, G., & Nelson, B. D. (2022). Increases in depression and anxiety symptoms in adolescents and young adults during the COVID-19 pandemic. Psycho- logical Medicine, 52(14), 3222–3230. https://doi. org/10.1017/S0033291720005358 Hofmann, S. G., Sawyer, A. T., Witt, A. A., & Oh, D. (2010). The effect of mindfulness-based therapy on anxiety and depression: A meta-an- alytic review. Journal of Consulting and Clin- ical Psychology, 78(2), 169–183. https://doi. org/10.1037/a0018555 Hofmann S. G. (2021). The Impact of COVID-19 on mental health. Cognitive Behaviour Therapy, 50(3), 185–190. https://doi.org/10.1080/16506 073.2021.1897666 Holmes, E. A., O'Connor, R. C., Perry, V. H., Tracey, I., Wessely, S., Arseneault, L., Ballard, C., Christensen, H., Cohen Silver, R., Everall, I., Ford, T., John, A., Kabir, T., King, K., Madan, I., Michie, S., Przybyl- ski, A. K., Shafran, R., Sweeney, A., Worthman, C. M., … Bullmore, E. (2020). Multidisciplinary research priorities for the COVID-19 pandem- ic: a call for action for mental health science. The Lancet. Psychiatry, 7(6), 547–560. https://doi. org/10.1016/S2215-0366(20)30168-1 Hotopf, M., Bullmore, E., O'Connor, R. C., & Holmes, E. A. (2020). The scope of mental health research during the COVID-19 pandemic and its aftermath. The British Journal of Psychiatry The Journal of Mental Science, 217(4), 540–542. https://doi.org/10.1192/bjp.2020.125 Kar, N., Kar, B., & Kar, S. (2021). Stress and coping during COVID-19 pandemic: Result of an online survey. Psychiatry Research, 295, 113598. https:// doi.org/10.1016/j.psychres.2020.113598 Kisely, S., Warren, N., McMahon, L., Dalais, C., Henry, I., & Siskind, D. (2020). Occurrence, pre- vention, and management of the psychological effects of emerging virus outbreaks on healthcare workers: rapid review and meta-analysis. BMJ (Clinical research ed.), 369, m1642. https://doi. org/10.1136/bmj.m1642 Kocalevent, R. D., Zenger, M., Heinen, I., Dwinger, S., Decker, O., & Brähler, E. (2015). Resilience in the general population: Standardization of the Resil- ience Scale (RS-11). PloS One, 10(11), e0140322. https://doi.org/10.1371/journal.pone.0140322 Marziali, E., McDonald, L., & Donahue, P. (2008). The role of coping humor in the physical and mental health of older adults. Aging & Mental Health, 12(6), 713–718. https://doi. org/10.1080/13607860802154374 EXAMINING COPING SKILLS, ANXIETY, AND DEPRESSION 86 Maunder, R., Hunter, J., Vincent, L., Bennett, J., Pe- ladeau, N., Leszcz, M., Sadavoy, J., Verhaeghe, L. M., Steinberg, R., & Mazzulli, T. (2003). The im- mediate psychological and occupational impact of the 2003 SARS outbreak in a teaching hospital. CMAJ : Canadian Medical Association Journal = Journal de l'Association Medicale Canadienne, 168(10), 1245–1251. Maunder, R. G., Lancee, W. J., Mae, R., Vincent, L., Peladeau, N., Beduz, M. A., Hunter, J. J., & Leszcz, M. (2010). Computer-assisted resilience training to prepare healthcare workers for pan- demic influenza: a randomized trial of the optimal dose of training. BMC Health Services Research, 10, 72. https://doi.org/10.1186/1472-6963-10-72 Morris, D. W. (2019). Adaptive affect: The nature of anxiety and depression. Neuropsychiatric Disease and Treatment, 3323-3326. National Academies of Sciences, Engineering, and Medicine, Division on Earth and Life Studies, Health and Medicine Division, Institute for Lab- oratory Animal Research, Board on Earth Sci- ences and Resources, Board on Health Sciences Policy, Committee on Strengthening the Disaster Resilience of Academic Research Communities, Carlin, E., Brown, L., & Benjamin, G. C. (Eds.). (2017). Strengthening the Disaster Resilience of the Academic Biomedical Research Community: Pro- tecting the Nation's Investment. National Acade- mies Press (US). Nolen-Hoeksema S. (1991). Responses to depres- sion and their effects on the duration ofdepres- sive episodes. Journal of Abnormal Psychology, 100(4), 569–582.https://doi.org/10.1037//0021- 843x.100.4.569 Norris, F. H., Stevens, S. P., Pfefferbaum, B., Wyche, K. F., & Pfefferbaum, R. L. (2008). Community resilience as a metaphor, theory, set of capacities, and strategy for disaster readiness. American Jour- nal of Community Psychology, 41(1-2), 127–150. https://doi.org/10.1007/s10464-007-9156-6 Ogueji, I. A., Okoloba, M. M., & Demoko Ceccaldi, B. M. (2022). Coping strategies of individuals in the United Kingdom during the COVID-19 pandemic. Current Psychology (New Brunswick, N.J.), 41(11), 7493– 7499. https://doi.org/10.1007/s12144-020-01318-7 Rose, S., Hartnett, J., & Pillai, S. (2021). Healthcare worker's emotions, perceived stressors and coping mechanisms during the COVID-19 pandemic. PloS One, 16(7), e0254252. https://doi.org/10.1371/ journal.pone.0254252 Rosen, A. O., Holmes, A. L., Balluerka, N., Hidalgo, M. D., Gorostiaga, A., Gómez-Benito, J., & Hue- do-Medina, T. B. (2022). Is social media a new type of social support? Social media use in Spain during the COVID-19 pandemic: A mixed meth- ods study. International Journal of Environmental Research and Public Health, 19(7), 3952. https:// doi.org/10.3390/ijerph19073952 Savitsky, B., Findling, Y., Ereli, A., & Hendel, T. (2020). Anxiety and coping strategies amongnurs- ing students during the covid-19 pandemic. Nurse Education in Practice, 46, 102809. https://doi. org/10.1016/j.nepr.2020.102809 Shanafelt, T. D., Hasan, O., Dyrbye, L. N., Sinsky, C., Satele, D., Sloan, J., & West, C. P. (2015). Chang- es in burnout and satisfaction with work-life bal- ance in physicians and the general US working population between 2011 and 2014. Mayo Clin- ic Proceedings, 90(12), 1600–1613. https://doi. org/10.1016/j.mayocp.2015.08.023 Shanafelt, T., Ripp, J., & Trockel, M. (2020). Under- standing and addressing sources of anxiety among health care professionals during the COVID-19 pandemic. JAMA, 323(21), 2133–2134. https:// doi.org/10.1001/jama.2020.5893 Southward, M. W., Howard, K. P., & Cheavens, J. S. (2023). Less is more: Decreasing the frequency of maladaptive coping predicts improvements in DBT more consistently than increasing the frequency of adaptive coping. Behaviour Re- search and Therapy, 163, 104288. https://doi. org/10.1016/j.brat.2023.104288 Stanley, B., Martínez-Alés, G., Gratch, I., Rizk, M., Galfalvy, H., Choo, T. H., & Mann, J. J. (2021). Coping strategies that reduce suicidal ideation: An ecological momentary assessment study. Jour- nal of Psychiatric Research, 133, 32–37. https:// doi.org/10.1016/j.jpsychires.2020.12.012 West, C. P., Dyrbye, L. N., & Shanafelt, T. D. (2018). Physician burnout: contributors, consequences and solutions. Journal of Internal Medicine, 283(6), 516–529. https://doi.org/10.1111/joim.12752 Yeşiloğlu, C., Tamam, L., Demirkol, M. E., Namli, Z., Karaytuğ, M. O., & Şenbayram Güzelbaba, Ş. (2023). The relationship of coping skills with psy- MOMENT 87 chache in patients with depressive disorder. Med- icine, 102(29), e34339. https://doi.org/10.1097/ MD.0000000000034339 Zhao, J., Xu, J., He, Y., & Xiang, M. (2022). Children and adolescents' sleep patterns and their ssociations with mental health during the COVID-19 pan- demic in Shanghai, China. Journal of Affective Dis- orders, 301, 337–344. https://doi.org/10.1016/j. jad.2021.12.123 Zhu, C., Zhang, T., Li, Q., Chen, X., & Wang, K. (2023). Depression and anxiety during theCOVID-19 pan- demic: Epidemiology, mechanism, and treatment. Neuroscience Bulletin, 39(4), 675–684. https://doi. org/10.1007/s12264-022-00970-2 EXAMINING COPING SKILLS, ANXIETY, AND DEPRESSION 88 Table 1 Table of Demographic Data Note. Nationality, age, and sex of participants. MOMENT 89 Table 2 Descriptive Statistics and Correlations for Anxiety, Depression, and Study Variables EXAMINING COPING SKILLS, ANXIETY, AND DEPRESSION Note. The table includes descriptive statistics and correlations for anxiety, depression, and study variables. The table includes mean (M), standard deviation (SD), and correlations with anxiety and depression scores. *p < .05, **p < .01. 90 Table 3 Regression for Anxiety and Coping Styles MOMENT Note. The table presents unstandardized coefficients (B), standardized coefficients (β), Lower Limit (LL), Upper Limit (UL), t-values, p-values, and 95% confidence intervals for each pre- dictor variable in relation to the dependent variable total anxiety. *p < .05, **p < .01. 91 Table 4 Regression for Depression and Coping Styles EXAMINING COPING SKILLS, ANXIETY, AND DEPRESSION Note. The table presents unstandardized coefficients (B), standardized coefficients (β), Lower Limit (LL), Upper Limit (UL), t-values, p-values, and 95% confidence intervals for each predictor variable in relation to the dependent variable total depression. *p < .05, **p < .01.