Evidence map›Paper›PMID 36935164›Full record

ArticleAmerican journal of preventive medicine2023

Life Expectancy and Built Environments in the U.S.: A Multilevel Analysis.

Byoungjun Kim, Ben R Spoer, Andrea R Titus, Alexander Chen, George D Thurston, Marc N Gourevitch, Lorna E Thorpe

Abstract read
In one paragraph

Article in American journal of preventive medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
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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

7 authors.

Byoungjun KimDepartment of Population Health, New York University Grossman School of Medicine, New York, New York. Electronic address: byoungjun.kim@nyulangone.org.
Ben R SpoerDepartment of Population Health, New York University Grossman School of Medicine, New York, New York.
Andrea R TitusDepartment of Population Health, New York University Grossman School of Medicine, New York, New York.
Alexander ChenDepartment of Population Health, New York University Grossman School of Medicine, New York, New York.
George D ThurstonDepartment of Environmental Medicine, New York University Grossman School of Medicine, New York, New York.
Marc N GourevitchDepartment of Population Health, New York University Grossman School of Medicine, New York, New York.
Lorna E ThorpeDepartment of Population Health, New York University Grossman School of Medicine, New York, New York.

Funding

Translation CoreP2CES033423 · NIEHS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Lorna Thorpe · 2022 to 2026
$5.1M
AHRQ HHS T32 HS026120NIEHS NIH HHS P2C ES033423
6 · The paper itself

Abstract

introductionThe purpose of this study is to examine the associations between built environments and life expectancy across a gradient of urbanicity in the U.S.

methodsCensus tract‒level estimates of life expectancy between 2010 and 2015, except for Maine and Wisconsin, from the U.S. Small-Area Life Expectancy Estimates Project were analyzed in 2022. Tract-level measures of the built environment included: food, alcohol, and tobacco outlets; walkability; park and green space; housing characteristics; and air pollution. Multilevel linear models for each of the 4 urbanicity types were fitted to evaluate the associations, adjusting for population and social characteristics.

resultsOld housing (built before 1979) and air pollution were important built environment predictors of life expectancy disparities across all gradients of urbanicity. Convenience stores were negatively associated with life expectancy in all urbanicity types. Healthy food options were a positive predictor of life expectancy only in high-density urban areas. Park accessibility was associated with increased life expectancy in all areas, except rural areas. Green space in neighborhoods was positively associated with life expectancy in urban areas but showed an opposite association in rural areas.

conclusionsAfter adjusting for key social characteristics, several built environment characteristics were salient risk factors for decreased life expectancy in the U.S., with some measures showing differential effects by urbanicity. Planning and policy efforts should be tailored to local contexts.

Indexed as

Air PollutionBuilt EnvironmentHumansLife ExpectancyMultilevel AnalysisResidence CharacteristicsUrban Population

Identifiers

PMID36935164
PMCPMC10621668

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Registered trials

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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.