ArticleSSM - population health2020
The mediating effect of allostatic load on the relationship between neighborhood perceptions and depression.
Article in SSM - population health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.
- Allostatic Load Measurement: A Systematic Review of Reviews, Database Inventory, and Considerations for Neighborhood Research.International journal of environmental research and public health · 2022Pooled it
- Assessing biological pathways in the longitudinal association between neighborhood environment and depressive symptoms.Journal of affective disorders · 2026Article
- Uncovering the biological toll of neighborhood disorder trajectories: a machine learning based weighting analysis of biomarkers in older adults.The journals of gerontology. Series B, Psychological sciences and social sciences · 2026Article
- Allostatic Load and Severe Clinical Phenotypes in Major Depressive Disorder: A Cross-Sectional Statistical Mediation Analysis of Perceived Stress, Cognitive Impairment, and Suicidal Ideation.Neuropsychiatric disease and treatment · 2026Article
- Disparities in Allostatic Load Among Different Races: A Comprehensive Scoping Review.Journal of racial and ethnic health disparities · 2025Review
- Enriched housing differentially alters allostatic load and cardiopulmonary responses to wildfire-related smoke in male and female mice.Journal of toxicology and environmental health. Part A · 2024Article
- Do Religious Struggles Mediate the Association Between Neighborhood Disorder and Health in the United States?Journal of religion and health · 2024Article
- The Association of Context with Reported Self-Efficacy for Cancer-Preventive Behaviors and Perceived Cancer Risk in U.S. Adults from the Midlife in the United States (MIDUS) Study.International journal of environmental research and public health · 2024Article
- Perceived Neighborhood Safety and Depressive Symptoms: The Role of Perceived Neighborhood Cohesion and Perceived Control.Journal of youth and adolescence · 2023Article
- Predicting depression among rural and urban disabled elderly in China using a random forest classifier.BMC psychiatry · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Neighborhood perceptions is an important predictor of both allostatic load in the form of biological dysregulation and major depressive disorder. Furthermore, biological dysregulation is predictive of major depressive disorder. Yet to date, the use of biological dysregulation as one potential causal pathway linking neighborhood perceptions to depression has not been explored. This study examined the relationship between neighborhood perception, biological dysregulation in the form of allostatic load, and depression among individuals who participated in the three waves of the Midlife Development in the United States study (1996-2014). Two-to-one propensity score matching was employed prior the use of causal mediation analyses. Lower neighborhood perceptions at wave one were associated with increased allostatic load at wave two. Allostatic load at wave two is associated with depression at wave three. The mediation analysis shows that 6.0% of the relationship between neighborhood perception and depression is mediated by biological dysregulation. These results can inform future prevention and treatment methods by supporting efforts to integrate individuals and community-level interventions to aid in addressing both the environmental conditions and biological factors associated with depression.
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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.