Evidence map›Paper›PMID 41654936›Full record

ArticleInternational journal for equity in health2026

Supporting minority youths' mental health during COVID-19: the role of neighborhood composition.

Shin Bin Tan

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Article in International journal for equity in health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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Shin Bin TanLee Kuan Yew School of Public Policy, National University of Singapore, 469C Bukit Timah Rd, Singapore, 259772, Singapore. shinbin@nus.edu.sg.

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6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic has been shown to worsen mental health outcomes, particularly among minority youths. However, few studies have examined whether neighborhood composition-specifically greater co-ethnic density, which has been linked to better mental health in other contexts-might buffer against these negative effects. Furthermore, existing studies linking neighborhood ethnic composition to health tend to be based in the U.S., where racial/ethnic clustering is intrinsically intertwined with racial discrimination, making it hard to unpack the impact of neighborhood composition on mental health. This study examines how neighborhood composition, as estimated by a spatial measure of neighborhood-scale residential segregation, relates to mental health outcomes of youths of different ethnicities before and during the COVID19 pandemic, in Singapore, a multi-ethnic city-state with a large Chinese majority and long-standing policies to ensure sociospatial ethnic mix within neighborhoods.

methodsFour waves of survey responses of over 3000 youths were collected between 2019 and 2022, and joined to estimates of their neighborhood characteristics, include residential ethnic and socioeconomic segregation, built density and average housing prices. First, multi-level models were fitted, where individual observations were nested within individual participants. Random intercepts were fitted for each participant to account for unobserved individual-specific effects, while three-way interactions between the fixed effects of individual's ethnicity, neighborhood-level co-ethnic density/residential segregation estimates and survey wave were included as a test of whether the observed associations varied by ethnicity and time. The second approach modelled 'typical' mental health trajectories across the survey waves using latent class growth analysis. Multinomial logistic regression predicting latent class membership with covariates were then fitted to analyse whether and how youths' ethnic identities and residential co-ethnic density/ segregation exposure related to different mental health trajectories.

resultsEthnic minority youths living in areas with lower levels of ethnic residential segregation, which in Singapore is characterised by greater co-ethnic density, had better mental health outcomes over the course of the pandemic, compared to peers living in more homogenously Chinese neighborhoods. Results from the multi-level models however suggest this 'protective' relationship of experiencing greater co-ethnic density dissipated during the height of the COVID-19 pandemic in 2020.

conclusionsLiving in areas with higher co-ethnic density for minority groups, and a lower spatial concentration of residents of majority ethnicity, might be protective of minority youths' mental health. However, this protective effect of greater residential ethnic mix might be contingent on there being in-person interactions, which were severely reduced during the height of a pandemic. This finding thus underscores the need for initiatives to maintain social connectedness within one's neighborhood even in the face of safe distancing measures.

Indexed as

COVID-19EthnicityMental HealthMinority GroupsNeighborhood CharacteristicsResidence CharacteristicsAdolescentFemaleHumansResidential SegregationSARS-CoV-2SingaporeSocioeconomic Disparities in HealthCo-ethnic densityCOVID-19Mental healthNeighbourhood compositionResidential segregationYouths

Identifiers

PMID41654936
PMCPMC12903440

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.