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Objective <p>Latino communities are diverse and necessitate in-depth knowledge of the heterogeneity of Latinos beyond a singular race or ethnicity. Each subgroup may have been impacted by the COVID-19 pandemic differently. This study examined the patterns of challenges that Latinos faced due to the COVID-19 pandemic, identified subgroups with diverse needs, and explored the association between these subgroups and health outcomes.</p> Methods <p>A total of 720 participants enrolled between August 2022 and August 2023 as part of the Rapid Acceleration of Diagnostics—Underserved Populations (RADx-UP) initiative in Maryland. Latent class analysis (LCA) was employed to identify subgroups of participants based on self-reported indicators of challenges related to the COVID-19 pandemic, including access to health care, housing, food security, access to clean water, medication, and transportation. Health outcomes included self-report health, anxiety, and depression screening. Logistic regressions were conducted to examine the relationships between class membership, sociodemographic characteristics, and various health outcomes.</p> Results <p>A four-class latent class model was identified: <i>Class 1</i> (31.67%) reported no challenge across all indicators; <i>Class 2</i> (32.62%) reported minor challenges in accessing health care and medicine and food security; <i>Class 3</i> (35.72%) reported minor challenge in all indicators, and <i>Class 4</i> (22.28%) reported major challenges across all indicators. Not having health insurance, fewer years of living in the US, and not being proficient in English were associated with belonging to a group that faced increased challenges due to the COVID-19 pandemic. Class memberships were associated with health outcomes, including depression and anxiety.</p> Conclusions <p>This study found that pandemic-associated challenges were highly heterogeneous among Latinos, which were variably associated with health outcomes, including depression and anxiety. Findings from the current research can inform post-pandemic resource allocation and future pandemic preparedness to address longstanding structural inequities. Continued investments are needed to address long-lasting social and economic hardship and public health issues, such as mental health, among the most vulnerable communities.</p>

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Patterns of Social, Economic, And Health Challenges Due to the COVID-19 Pandemic Experienced by Latino Communities: A Latent Class Analysis

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年6月27日

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  • Gabriel Ramirez,
  • Yinzhou Ou,
  • Ronald Saxton,
  • Alejandra F. Miller,
  • Melissa M. Cuesta,
  • Ana O. Meza,
  • Suzanne Grieb,
  • Kathleen R. Page,
  • Cui Yang

摘要

Objective

Latino communities are diverse and necessitate in-depth knowledge of the heterogeneity of Latinos beyond a singular race or ethnicity. Each subgroup may have been impacted by the COVID-19 pandemic differently. This study examined the patterns of challenges that Latinos faced due to the COVID-19 pandemic, identified subgroups with diverse needs, and explored the association between these subgroups and health outcomes.

Methods

A total of 720 participants enrolled between August 2022 and August 2023 as part of the Rapid Acceleration of Diagnostics—Underserved Populations (RADx-UP) initiative in Maryland. Latent class analysis (LCA) was employed to identify subgroups of participants based on self-reported indicators of challenges related to the COVID-19 pandemic, including access to health care, housing, food security, access to clean water, medication, and transportation. Health outcomes included self-report health, anxiety, and depression screening. Logistic regressions were conducted to examine the relationships between class membership, sociodemographic characteristics, and various health outcomes.

Results

A four-class latent class model was identified: Class 1 (31.67%) reported no challenge across all indicators; Class 2 (32.62%) reported minor challenges in accessing health care and medicine and food security; Class 3 (35.72%) reported minor challenge in all indicators, and Class 4 (22.28%) reported major challenges across all indicators. Not having health insurance, fewer years of living in the US, and not being proficient in English were associated with belonging to a group that faced increased challenges due to the COVID-19 pandemic. Class memberships were associated with health outcomes, including depression and anxiety.

Conclusions

This study found that pandemic-associated challenges were highly heterogeneous among Latinos, which were variably associated with health outcomes, including depression and anxiety. Findings from the current research can inform post-pandemic resource allocation and future pandemic preparedness to address longstanding structural inequities. Continued investments are needed to address long-lasting social and economic hardship and public health issues, such as mental health, among the most vulnerable communities.