ArticleDemography2014
Integrating space with place in health research: a multilevel spatial investigation using child mortality in 1880 Newark, New Jersey.
Article in Demography, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
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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.
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Who cites it
5 citing papers in PubMed.
- Racial residential segregation and child mortality in the southern United States at the turn of the 20th century.Population, space and place · 2023Article
- Measuring neighborhood deprivation for childhood health and development - scale implications in rural and urban context.Geospatial health · 2021Article
- Social Determinants and Health Behaviors: Conceptual Frames and Empirical Advances.Current opinion in psychology · 2015Article
- Where there's smoke: Cigarette use, social acceptability, and spatial approaches to multilevel modeling.Social science & medicine (1982) · 2015Article
- Segregation and Neighborhood Change in Northern Cities: New Historical GIS Data from 1900-1930.Historical methodsArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Research on neighborhoods and health increasingly acknowledges the need to conceptualize, measure, and model spatial features of social and physical environments. When ignoring underlying spatial dynamics, we run the risk of biased statistical inference and misleading results. In this article, we propose an integrated multilevel spatial approach for Poisson models of discrete responses. In an empirical example of child mortality in 1880 Newark, New Jersey, we compare this multilevel spatial approach with the more typical aspatial multilevel approach. Results indicate that spatially defined egocentric neighborhoods, or distance-based measures, outperform administrative areal units, such as census units. In addition, although results do not vary by specific definitions of egocentric neighborhoods, they are sensitive to geographic scale and modeling strategy. Overall, our findings confirm that adopting a spatial multilevel approach enhances our ability to disentangle the effect of space from that of place, pointing to the need for more careful spatial thinking in population research on neighborhoods and health.
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Registered trials
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