Effect of COVID-19 Pandemic on Mental Health Status of Different Age Groups in a Sample Population in Aruba ()
1. Introduction
The outbreak of the novel coronavirus, SARS-CoV-2, in early 2020 rapidly escalated into a global pandemic, causing widespread confusion and fear worldwide [1] [2]. The COVID-19 pandemic has ushered in unprecedented global public health challenges, with significant impacts on mental health due to social isolation, economic uncertainties, and the disease’s morbidity and mortality. While numerous studies have explored these effects globally, localized research, such as in Aruba, remains crucial for understanding the pandemic’s nuanced impacts across diverse communities. Aruba’s unique demographic composition, characterized by a rich mosaic of ethnicities, presents an invaluable opportunity to investigate the differential mental health outcomes among its population. For the purposes of this study, participants self-identified their ethnicity. Categories were consolidated into four groups for analysis: Aruban, Hispanic/Latin American, Caucasian/Dutch (participants of European descent, including Dutch nationals), and Other. The terms “Hispanic” and “Latin American” are used interchangeably to reflect participant self-reports, while “Dutch” participants were classified under the broader Caucasian category [2].
Aruba heavily relies on tourism as a key economic driver, faced significant challenges during the pandemic [3]-[5]. The stringent measures taken to contain the spread of the virus led to a notable economic downturn, amplifying the country’s challenges. This economic downturn had a ripple effect impacting various sectors, resulting in measures such as salary reductions for public employees [4] [5].
The mental health implications of the pandemic in the Aruban population are potentially long-lasting [3] [4] and must be acknowledged and understood to address the situation effectively [6]. In this study, our primary objective is to explore the experiences of individuals in Aruba during the lockdown period, specifically examining the impact on their lives, mental health, and financial well-being. Aruba’s population is characterized by its diversity, encompassing various ethnicities and languages. By gathering reliable data on the mental health and well-being of individuals from different racial backgrounds in Aruba, we aimed to better understand the enduring consequences of the pandemic. Through this understanding, we hope to develop targeted strategies to address and prevent similar challenges in the future.
As the COVID-19 pandemic continues to pose significant global challenges, conducting research at the local level was crucial in uncovering the specific impacts on distinct populations [7]. This study seeks to contribute to the existing body of knowledge on the mental health implications of pandemics and provide valuable insights for policymakers and healthcare professionals in Aruba and beyond. Recognizing the distinct experiences of diverse ethnic groups, we can foster more inclusive and effective approaches to support mental health and well-being in times of crisis.
This study aims to fill the gap in literature by examining the mental health impacts of the COVID-19 pandemic in Aruba, focusing on potential disparities across ethnic groups and genders. Given the island’s distinctive ethnic diversity, understanding these impacts is essential for developing targeted interventions that address the specific needs of its communities. Prior to this research, the extent to this pandemic has affected mental health among Aruba’s various ethnic groups had not been thoroughly explored, underscoring the importance of this study.
By integrating updated COVID-19 statistics and emphasizing the study’s rationale and objectives, we seek to contribute to the broader understanding of the pandemic’s mental health implications in specific, ethnically diverse settings. Moreover, this research is guided by the hypothesis that the COVID-19 pandemic has disproportionately affected the mental health of certain ethnic groups in Aruba, underlining the need for culturally sensitive mental health resources and interventions.
2. Methods
2.1. Study Population and Sample Size
The target population consisted of individuals from diverse communities residing in Aruba, who attended health fairs at Xavier University School of Medicine (XUSOM) Aruba. The study included both men and women in three age groups: 18 - 39, 40 - 59, and ≥60 years. Participants were selected based on the inclusion criterion of being ≥18 years of age. A total of 83 respondents completed the questionnaires and were included in the final analysis conducted by the research team. This study was approved by the Institutional Review Board of XUSOM Aruba (approval number: 1972) and conforms to the principles embodied in the Declaration of Helsinki. All study participants provided written informed consent.
In the development and execution of this research, we highly value the role of participants. While participants contributed by providing data and offering feedback on consent processes and confidentiality, they were not directly involved in the design, analysis, or dissemination of the study.
2.2. Study Design and Recruitment
This study employed a cross-sectional design to investigate the impact of the COVID-19 pandemic on mental health among various ethnic groups in Aruba. The recruitment process involved distributing questionnaires in person at health fairs to ensure a diverse participant pool. We aimed to reach a broad demographic by leveraging community centers, and local health services. Efforts were made to contact individuals from all major ethnic groups residing in Aruba, with a targeted outreach strategy to include underrepresented communities.
2.3. Period of Study
The data collection period spanned from September, 2021 to April, 2022, covering a significant phase of the pandemic to capture its evolving impact on mental health. This timeframe was selected based on the onset of pandemic-related restrictions in Aruba and aimed to encompass various stages of the public health response.
Consequence: Participants also provided feedback on consent processes, confidentiality, and the overall ethical conduct.
2.4. Data Collection
To ensure the confidentiality and reliability of data, the research team utilized a structured and anonymous questionnaire to assess participants’ mental health during the COVID-19 pandemic.
2.5. Ethical Considerations
Ethical approval for the study was obtained from Xavier University School of Medicine Aruba Ethics Committee. All participants provided informed consent before participating in the study, with assurances of confidentiality and the right to withdraw at any time without consequence. Participants also provided feedback on consent processes, confidentiality, and the overall ethical conduct.
2.6. Data Analysis
The primary objective of this cross-sectional study was to examine the impact of the COVID-19 pandemic on the mental health status of individuals living in Aruba. Specifically, the study aimed to assess the mental health of Arubans during the COVID-19 outbreak using standardized rating instruments, namely the Patient Health Questionnaire-9 (PHQ-9) and the General Anxiety Disorder-7 (GAD-7) questionnaires. The items for the GAD-7 originated from a pool of 13 items based on the criteria for GAD in the Diagnostic and Statistical Manual for Mental Disorders, Fourth Edition. Additional items were included from other anxiety measures [8] [9]. GAD-7 and PHQ-9 scales were utilized to assess anxiety and depression levels among participants. Based on established cutoff points, responses were categorized into no, mild, moderate, and severe levels. The parameterization of these scores allowed for a nuanced analysis of mental health outcomes across different demographic groups. Statistical analyses examined differences in mental health scores by gender, age, and ethnicity. The significance of disparities was assessed using chi-square tests for categorical variables and ANOVA for continuous variables, with a p-value of <0.05 considered statistically significant. The Non-parametric Kruskal-Wallis test was employed for between-group comparisons, considering the categorical variables such as gender, ethnicity, and age groups. The findings were then interpreted to gain insights into the mental health outcomes within the Aruban population during the COVID-19 pandemic [9].
2.7. Patient and Public Involvement
Patients and the public were not directly involved in the design, conduct, reporting, or dissemination of this research. Their involvement was limited to participation in the survey and providing feedback on ethical procedures (e.g., consent and confidentiality).
3. Results
3.1. Participant Characteristics
Eighty-three participants completed the survey (Table 1). Sample included men and women across three age groups (18 - 39, 40 - 59, ≥60) and represented diverse ethnic and sexual orientation backgrounds.
Table 1. Demographic characteristics of participants (n = 83).
Variable |
n |
% |
Gender—Male |
43 |
51.80% |
Gender—Female |
38 |
45.80% |
Gender—Other |
2 |
2.40% |
Age—18 - 39 |
50 |
60.20% |
Age—40 - 59 |
25 |
30.10% |
Age—≥60 |
8 |
9.60% |
Ethnicity—Aruban |
30 |
36.10% |
Ethnicity—Hispanic |
25 |
30.10% |
Ethnicity—Caucasian |
20 |
24.10% |
Ethnicity—Other |
8 |
9.60% |
Sexual orientation—Heterosexual |
60 |
72.30% |
Sexual orientation—Same-sex attracted |
10 |
12.00% |
Sexual orientation—Sexually attracted to both male and female |
8 |
9.60% |
Sexual orientation—Other |
5 |
6.00% |
Note: Percentages may not total 100% due to rounding. Age groups were categorized as 18 - 39, 40 - 59, and ≥60 years.
Ethnicity Differences: Ethnic categories were analyzed as Aruban (n = 30), Hispanic/Latin American (n = 25), Caucasian/Dutch (n = 20), and Other (n = 8). To ensure consistency, the term “Hispanic/Latin American” is used throughout, and “Caucasian/Dutch” indicates Dutch participants who self-identified as Caucasian.
3.2. Results (Post-Hoc Analyses)
Ethnicity
Analysis of variance indicated overall differences in composite mental health scores by ethnicity (p = 0.008). Post-hoc Tukey HSD comparisons, however, did not reveal any specific group contrasts that survived correction (all adjusted p’s ≥ 0.31; Table S1). Mean scores ranged from 3.0 in Hispanic/Latin American participants to 15.1 in the “Other” category. Age.
Kruskal-Wallis tests showed significant differences across age groups for Q2 (“It makes me uncomfortable to think about COVID-19”), H(2) = 9.88, p = 0.007. Follow-up Mann-Whitney tests (Holm corrected) indicated trends toward lower discomfort in the ≥60 group compared with both 18 - 39 (p = 0.084) and 40 - 59 (p = 0.084), but these contrasts did not remain statistically significant after correction (Table S2).
Sexual orientation
Omnibus tests suggested differences in several outcomes (Q5: news-related anxiety, Q6: insomnia worry, MH5: appetite changes). However, post-hoc pairwise comparisons using Holm-adjusted z-tests of proportions did not yield significant contrasts among heterosexual, same-sex attracted, attracted to both male and female, and other orientation groups (all adjusted p’s ≥ 0.23; Table S3).
3.3. Discussion (Post-Hoc Interpretation)
Although omnibus tests suggested significant differences across ethnicity, age, and sexual orientation, post-hoc analyses did not confirm robust pairwise contrasts after correction for multiple testing. For ethnicity, the Dutch and “Other” groups showed higher mean scores than Aruban but less than Hispanic/Latin American participants, yet these contrasts did not survive Tukey adjustment. Similarly, while older adults (≥60) reported lower discomfort on COVID-19—related worry compared to younger groups, the pairwise comparisons did not reach corrected significance. Sexual orientation effects observed at the omnibus level (Q5, Q6, MH5) also did not yield reliable pairwise differences. These patterns suggest that the omnibus findings may reflect broader group-level dispersion rather than specific, replicable contrasts, possibly influenced by the small sample sizes within certain categories. Future research with larger, more balanced samples will be necessary to determine whether these demographic trends represent true disparities or sample-specific variability.
4. Discussion
One of the most notable findings of this study was the distinct pattern of mental health burden among Dutch participants. Dutch participants showed comparable or slightly higher mean scores than Arubans (4.05 vs. 3.90), but lower scores than Hispanic/Latin American participants (6.39). This suggests nuanced differences across groups rather than a uniformly higher burden in the Dutch population. Several factors may underlie these patterns, including challenges related to social integration and cultural adjustment, pandemic-related restrictions on travel and employment, and stressors linked to immigration status. Although post-hoc contrasts were not statistically significant after correction, these descriptive differences warrant further study.
Findings emphasize the importance of culturally and demographically tailored interventions for pandemic-related mental health issues in Aruba. Future studies should aim for larger, more representative samples and include longitudinal follow-up to capture changes over time [10]. A further limitation is that the study employed a convenience sampling strategy, recruiting participants at health fairs. As such, the sample may not be fully representative of the broader Aruban population. Individuals attending health fairs may differ systematically from those who do not, for example in terms of health awareness, access to services, or socioeconomic background. This limitation reduces the generalizability of the findings and highlights the need for future research using more representative sampling methods.
Supplementary Tables
Table S1. Ethnicity differences in composite mental health score (PHQ-9 + GAD-7).
Ethnicity |
n |
Mean (SD) |
Aruban |
30 |
8.73 (8.81) |
Hispanic/Latin American |
25 |
3.00 (4.24) |
Caucasian/Dutch |
20 |
9.36 (9.01) |
Other |
8 |
15.13 (15.37) |
Table S2. Age group differences on Q2 (“It makes me uncomfortable to think about COVID-19”).
Age group |
n |
Mean (SD) |
Median |
18 - 39 |
39 |
2.38 (0.67) |
2.0 |
40 - 59 |
14 |
2.14 (0.53) |
2.0 |
≥60 |
3 |
1.00 (0.00) |
1.0 |
Table S3. Sexual orientation differences on Q5, Q6, and MH5.
Heterosexual |
60 |
Mean (SD) |
Same-sex attracted |
10 |
4.84 ± 5.51 |
Sexually attracted to both male and female |
8 |
9.20 ± 6.76 |
Other |
5 |
4.37 ± 5.29 |
Heterosexual |
60 |
6.17 ± 3.49 |