ArticlePloS one2025
Perceived safety and mental health among Asian American women: Exploring the moderating role of loneliness and resilience.
Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Gendered Racial Microaggressions and Sleep Quality: Examining the Potential Mediating Role of Mental Health in Asian American Women.Journal of racial and ethnic health disparities · 2026Article
- Access to Mental Health Treatment Services in Asian Languages.JAMA health forum · 2026Article
- Intimate Partner Violence and Hate-Motivated Violence Against Asian American Women.Journal of racial and ethnic health disparities · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Asian American women are an understudied population facing a substantial mental health burden, largely driven by the increasing rates of gender- and race-based violence and discrimination. Perceived safety, a key factor influencing mental health, has been underexplored. This study aimed to 1) examine the relationship between perceived safety with mental health outcomes (i.e., depression and anxiety); 2) examine the link between safety-related behavioral modifications and mental health outcomes; and 3) explore the moderating effects of loneliness and resilience on these relationships, drawing from a community sample of n = 345 Asian American women. Perceived safety was defined as feeling safe in public spaces, transportation and neighborhoods. In our study, 28.7%, 56.2% and 20.6% of women reported feeling unsafe in public spaces, transportation and neighborhoods, respectively. Feeling unsafe in public spaces was associated with higher odds of depression (aOR=2.37, 95%CI: 1.40, 4.02) and anxiety (aOR=2.61, 95%CI: 1.56, 4.37). Avoiding public spaces, leaving home or transportation were linked to increased odds of depression (aOR=2.05, 95%CI: 1.23, 3.40; aOR=2.26, 95%CI: 1.37, 3.74; aOR=2.03, 95%CI: 1.16, 3.57, respectively) while only avoiding leaving home was associated with anxiety (aOR=2.04, 95%CI: 1.24, 3.36). Loneliness moderated the association between avoiding public spaces and anxiety: avoiding public spaces was significantly associated with greater odds of anxiety among women who were not lonely (aOR = 4.77, 95% CI: 1.24-18.34), but not among those who were lonely (aOR = 0.93, 95% CI: 0.53-1.64). Resilience did not moderate these relationships (all p > .050). Our findings highlight the mental health impacts associated with reduced perceptions of safety and safety-related behavioral modifications in this group, highlighting the pervasive fear experienced by Asian American women in their day-to-day lives, and emphasizing the need for targeted interventions to address the unique safety challenges faced by Asian American women.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.