Quiet Storms: The Impact of Demographic Factors on Anxiety Levels During the COVID-19 Pandemic


Abstract

This study investigates the impact of demographic factors on levels of anxiety during the COVID-19 pandemic, focusing on race, gender, sexuality, age, education level, employment status, disability status, and socioeconomic status. Utilizing a diverse sample of over 200 participants, including a significant representation of undergraduate university students—many of whom identified as asexual—and predominantly individuals earning under $50,000 annually, the research explores how various demographic characteristics correlate with reported anxiety levels. Key findings reveal that non-white participants experienced significantly higher levels of generalized and social anxiety compared to their white counterparts, likely due to systemic inequalities and socioeconomic stressors. Additionally, results indicate that participants identifying as women, as well as those who are unemployed or report disabilities, are more likely to experience heightened anxiety. The study underscores the importance of understanding these demographic influences on mental health, particularly in the context of the ongoing pandemic. Implications for mental health interventions and policies are discussed, emphasizing the need for targeted support for vulnerable populations. Future research directions are suggested to further explore the intersections of demographic factors and anxiety, aiming to enhance mental health outcomes in diverse communities.

Project oversight…
Dr. Kathrin Bollich-Ziegler
Department of Psychology via Seattle University

In collaboration with…
Chloe Mittleman

Keywords: anxiety, COVID-19, demographics, systemic inequalities, mental health.


Participants in the study were primarily between the ages of 18-25, a group often marked by significant transitions such as pursuing higher education or entering the workforce. This group reported some of the highest levels of social and generalized anxiety, likely due to academic and career pressures as well as uncertainty about the future. The 26-35 age group, representing early professionals, experienced similar levels of anxiety, although their concerns tended to focus more on work-life balance and financial stability. Older groups, such as 36-45, 46-55, and 56+, generally showed lower levels of anxiety but still cited stressors related to career advancement, family responsibilities, and health concerns. This distribution aligns with findings from recent psychological studies, which show that younger adults typically report higher anxiety levels compared to older adults, whose concerns shift toward different life factors over time.

Non-White participants include individuals from racial or ethnic groups outside of those classified as White, such as Black, Latino, Asian, Indigenous, and other ethnicities. Research shows that Non-White individuals often experience systemic inequalities, discrimination, and socioeconomic challenges, contributing to higher anxiety levels and other mental health issues. Conversely, White participants identify with European ancestry and encompass various cultural backgrounds from Europe and North America. While they reported moderate anxiety levels, White individuals generally face fewer systemic barriers, impacting their overall mental health outcomes. This distinction is essential for understanding the disparities in anxiety levels noted in the study, emphasizing the unique mental health challenges faced by Non-White racial groups.

In this study, participants who identified as Women reported higher levels of both social and generalized anxiety compared to those who identified as Men, which aligns with research showing that women are more prone to anxiety disorders due to a combination of biological and social factors. Non-binary participants also reported notably high levels of anxiety, often due to marginalization, identity-related stress, and lack of societal support. Research from the past five years consistently shows that gender minorities, including Non-binary individuals, experience elevated anxiety compared to their cisgender peers, often due to identity-based stress.

A significant portion of participants identified as asexual, which provided unique insights into anxiety levels within this group. Asexual individuals reported elevated anxiety levels, particularly in social contexts where their identities were misunderstood or marginalized. LGBTQ+ participants overall, including those identifying as gay, lesbian, and bisexual, reported higher rates of both social and generalized anxiety compared to their heterosexual counterparts, largely due to societal stigma and discrimination. Modern psychological research consistently shows that sexual minorities experience higher anxiety due to these external pressures.

Most participants in this study had at least some college education, with many holding bachelor’s or graduate degrees. Those with higher levels of education reported moderate levels of anxiety, often related to career expectations and financial burdens from student debt. Participants with only a high school diploma or associate’s degree reported slightly higher levels of anxiety, often related to job insecurity or limited career advancement opportunities. Education level is closely tied to socioeconomic status, which in turn influences anxiety levels, with lower-educated individuals typically facing more financial stressors that heighten anxiety.

The majority of participants reported an annual income below $50,000, and this group experienced the highest levels of both generalized and social anxiety, largely due to financial instability, job insecurity, and the stress of meeting basic needs. Participants with an income between $50,000 and $100,000 reported moderate anxiety levels, while those earning above $100,000 generally reported lower levels of anxiety. Modern research has shown a consistent correlation between lower income and higher anxiety, as financial stress remains a significant factor contributing to mental health challenges.

Participants who identified as unemployed reported the highest levels of anxiety across all metrics, reflecting the psychological toll of joblessness, financial strain, and uncertainty about the future. Part-time and full-time workers reported moderate anxiety levels, with stress often stemming from work-related pressures such as job security and performance expectations. However, the most extreme anxiety levels were concentrated among those without stable employment, aligning with recent studies that emphasize the significant mental health impacts of unemployment.

Participants who identified as having a disability (visible & invisible) reported the highest levels of both social and generalized anxiety. These individuals often face additional stress due to accessibility issues, societal stigma, and health-related concerns, which exacerbate their mental health challenges. Modern psychological research consistently finds that individuals with disabilities experience heightened anxiety, often due to systemic barriers and chronic health issues that create ongoing stress.

Methodology

This cross-sectional, quantitative study was designed to examine the relationship between various demographic factors and the experience of generalized anxiety and social anxiety throughout the COVID-19 pandemic. The research was approved by the Institutional Review Board (IRB), ensuring ethical compliance, particularly regarding participant consent and data privacy.

Participants

A total of 235 participants were recruited through online platforms and university outreach. The sample represented a diverse range of backgrounds, with a statistical majority of respondents hailing from the United States, the United Kingdom, Canada, Israel, and Thailand. While the study aimed to capture a broad spectrum of demographic groups, it adhered to ethical standards by excluding individuals under the age of 18. The recruitment process leveraged various online resources and networks, along with direct distribution to Seattle University students. Importantly, the sample included a notably large population of respondents identifying as asexual, making the data statistically significant for this traditionally under-represented group.

Data Collection

Data were collected via an online survey distributed through the Qualtrics platform. The survey underwent three iterations for refinement and received formal IRB approval prior to distribution. The survey captured two primary sets of data: anxiety levels (generalized and social) and demographic information (age, race, gender, sexuality, education level, annual income, employment status, disability status, among others). The questions measuring anxiety levels included standardized instruments like the GAD-7 scale to ensure reliability and validity in assessing anxiety.

Key Variables & Measures

The study’s primary variables focused on two forms of anxiety: generalized anxiety and social anxiety. These were analyzed in relation to demographic characteristics such as race, gender, sexuality, age, employment status, education level, income, and disability status. This allowed for a robust exploration of how these factors correlate with different anxiety outcomes during the pandemic.

Data Analysis

Data were analyzed using SPSS and JASP software, employing a range of statistical tests, including t-tests, to examine relationships between demographic variables and anxiety outcomes. The analysis focused on identifying significant differences between groups, particularly in terms of racial, gender, and socioeconomic disparities in reported anxiety. Descriptive statistics were generated to summarize the sample characteristics, and inferential statistics were used to test hypotheses about the relationship between demographics and anxiety.


Ethical Considerations

All participants provided informed consent before beginning the survey, and all data were collected anonymously. Confidentiality was maintained throughout the study, with data stored on a secure server and wiped after the research was concluded. No personally identifiable information was collected, ensuring full compliance with ethical research standards.

Limitations

One limitation of this study is the predominance of W.E.I.R.D. respondents—Western, Educated, Industrialized, Rich, and Democratic. Many participants were university students, young adults, and white individuals, which may limit the generalizability of the findings to a broader population. Additionally, the overwhelming number of white respondents led to the categorization of participants into “white” and “non-white,” following expert recommendations to strengthen the statistical significance for non-white groups.

While the study uncovered key patterns in anxiety levels across various demographic groups, it also highlighted areas where more nuanced exploration is needed. For instance, the heightened anxiety experienced by Non-White participants calls for further investigation into how systemic barriers and discrimination directly impact mental health. Similarly, the significant representation of asexual and disabled participants suggests the need for more focused studies on how marginalized sexualities and disability status interact with anxiety.

Moreover, while this study primarily examined demographic factors, future research could incorporate additional variables such as access to mental health resources or coping strategies, to offer a more comprehensive understanding of anxiety. Continued exploration of these intersections will provide better insights into tailoring mental health interventions for diverse populations. This study serves as a foundation for these discussions, emphasizing the importance of targeted support for vulnerable groups and ongoing research into the complex causes of anxiety in various communities.


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