Evidence map›Paper›PMID 39547941›Full record

ArticleAmerican journal of epidemiology2026

California mortality and the Healthy Places Index.

Neil Maizlish, Adrienne Damicis

Abstract read
In one paragraph

Article in American journal of epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Neil MaizlishPublic Health Alliance of Southern California, Public Health Institute, Oakland, CA, United States.ORCID 0000-0001-6672-1183
Adrienne DamicisPublic Health Alliance of Southern California, Public Health Institute, Oakland, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigated California mortality and social determinants of health, as measured by the Healthy Places Index (HPI), which is a composite measure of 23 indicators of neighborhood (census tract) economic conditions, education, transportation, housing, social capital, environmental pollution, built environment, and access to health care. We aggregated deaths to 2010 census tract boundaries for leading causes during 2015 to 2019, and for COVID-19 during 2020-2021, from death certificates, and populations from the American Community Survey, 2015 to 2019. We age-adjusted and stratified death rates by HPI deciles, age, sex, and race/ethnicity, and examined HPI dose-response with segmental regression. For all causes, cancer, cardiovascular disease, COVID-19, diabetes, cirrhosis of the liver, injuries, and Alzheimer's disease (ages 65-74 years), mortality rates were inversely related to HPI decile. For all-cause mortality, the rate ratio between the 1st and 10th deciles (reference) was 1.63 (95% CI, 1.60-1.66); for COVID-19, the rate ratio was 7.61 (95% CI, 7.14-8.12). The population attributable fraction was 24% for all causes and 72% for COVID-19. Age, sex, and race/ethnicity modified the steepness and shape of dose-response curves. The findings illustrate opportunities to incorporate area-based socioeconomic measures in routine public health surveillance and to reinforce policies and programs that reduce health inequities.

Indexed as

Cause of DeathNeighborhood CharacteristicsPopulation HealthPopulation SurveillanceSocial Determinants of HealthAdultAgedBuilt EnvironmentCaliforniaCensus TractCOVID-19FemaleHealth Services AccessibilityHealth Status IndicatorsHumansMalearea-based socioeconomic measureCOVID-19deprivation indexhealth equitymortalityracial equitysocial determinants of health

Identifiers

PMID39547941
PMCPMC13066341

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.