Gentrification and mental health inequities: a scoping review
Bibliographic record
Abstract
The association between gentrification and general health has been established in the scientific literature. Less is known about the relationship between gentrification and mental health at a population level, and for specific subgroups. This scoping review aimed to document (1) the relationships between gentrification and mental health in the general population, and among specific social groups, and (2) the mechanisms which might explain why gentrification impacts the health of specific social groups more than others. A framework for understanding the pathways by which neighborhood gentrification may lead to mental health inequities guided the study. We included qualitative and quantitative studies published from 2000 to 2024 in English or French. We identified 40 peer-reviewed studies through database searches. A mix of positive and negative effects of gentrification on mental health were found in samples of adults, while only negative effects on mental health were found for children, young adults and older adults. A mix of positive and negative effects were found in samples of residents in gentrifying neighborhoods and for residents who had lived in a gentrifying neighborhood for more than 3 years. Only better mental health outcomes were found among gentrifiers, while only worse mental health outcomes were found among long-term and displaced residents. Findings from this scoping review can guide future research and urban planning as it documents gentrification's effects on mental health and explores why gentrification may impact the health of specific social groups more than others. • Gentrification's effects on mental health vary by residents' characteristics. • Studies only found positive mental health outcomes for gentrifiers. • Studies only found negative mental health outcomes for long-term residents. • Studies only found negative mental health outcomes for youth and older adults. • Low-income ethnic minorities and women were most affected by gentrification.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".