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

Publication date: Jun 27, 2025

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. 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. 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. 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.

Concepts Keywords
August COVID-19
English Health inequity
Latinos Latent class analysis
Pandemic Latino
Relationships Mental health

Semantics

Type Source Name
disease MESH COVID-19 Pandemic
disease MESH access to health care
drug DRUGBANK Water
disease MESH anxiety
disease MESH depression
disease MESH Health inequity

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