Susceptibility of a Multivariate Approach to the Measurement of Neighborhood-Level Socioeconomic Status in Neighborhoods and Health Research: Descriptive Findings with Analytical Reasoning

A fairly large number of area-based indices have been developed in the United States (US) and other countries to examine the contextual effect of neighborhood-level socioeconomic status (SES) on health. However, two conceptual and methodological review articles raised several concerns about a multiv...

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Main Author: Masayoshi Oka
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Social Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-0760/13/12/693
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author Masayoshi Oka
author_facet Masayoshi Oka
author_sort Masayoshi Oka
collection DOAJ
description A fairly large number of area-based indices have been developed in the United States (US) and other countries to examine the contextual effect of neighborhood-level socioeconomic status (SES) on health. However, two conceptual and methodological review articles raised several concerns about a multivariate approach to the measurement of neighborhood-level SES. To untangle some of the conceptual and methodological concerns raised in those review articles, the purpose of this study was to illuminate a couple of common oversights masked by the lack of analytical transparency in neighborhoods and health research. Using the State of California and its seven Metropolitan Statistical Areas as the study areas, census-tract-level population estimates from the 2000 Census as well as the 2005–2009, 2010–2014, and 2015–2019 American Community Survey were obtained from the United States Census Bureau’s website for conducting a sequence of data analyses. The results of this study suggest that a multivariate approach to the measurement of neighborhood-level SES may be susceptible to the spatial size and spatial configuration of geographic areas and/or the population size and population structure of geographic areas. For these reasons, a few underlying sources of measurement uncertainty, which may undermine the generalizability of existing area-based indices and their measurement validity, are discussed in a general sense so as to be relevant for examining the contextual effect of neighborhood-level SES on health in the US and other countries.
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spelling doaj.art-dd1dda4ae6d2415db31f3bc6bcc6048d2024-12-27T14:54:10ZengMDPI AGSocial Sciences2076-07602024-12-01131269310.3390/socsci13120693Susceptibility of a Multivariate Approach to the Measurement of Neighborhood-Level Socioeconomic Status in Neighborhoods and Health Research: Descriptive Findings with Analytical ReasoningMasayoshi Oka0Department of Management, Faculty of Management, Josai University, Sakado 350-0295, JapanA fairly large number of area-based indices have been developed in the United States (US) and other countries to examine the contextual effect of neighborhood-level socioeconomic status (SES) on health. However, two conceptual and methodological review articles raised several concerns about a multivariate approach to the measurement of neighborhood-level SES. To untangle some of the conceptual and methodological concerns raised in those review articles, the purpose of this study was to illuminate a couple of common oversights masked by the lack of analytical transparency in neighborhoods and health research. Using the State of California and its seven Metropolitan Statistical Areas as the study areas, census-tract-level population estimates from the 2000 Census as well as the 2005–2009, 2010–2014, and 2015–2019 American Community Survey were obtained from the United States Census Bureau’s website for conducting a sequence of data analyses. The results of this study suggest that a multivariate approach to the measurement of neighborhood-level SES may be susceptible to the spatial size and spatial configuration of geographic areas and/or the population size and population structure of geographic areas. For these reasons, a few underlying sources of measurement uncertainty, which may undermine the generalizability of existing area-based indices and their measurement validity, are discussed in a general sense so as to be relevant for examining the contextual effect of neighborhood-level SES on health in the US and other countries.https://www.mdpi.com/2076-0760/13/12/693neighborhood advantageneighborhood disadvantageneighborhood deprivationcomposite populationareal median filteringspatial approaches
spellingShingle Masayoshi Oka
Susceptibility of a Multivariate Approach to the Measurement of Neighborhood-Level Socioeconomic Status in Neighborhoods and Health Research: Descriptive Findings with Analytical Reasoning
Social Sciences
neighborhood advantage
neighborhood disadvantage
neighborhood deprivation
composite population
areal median filtering
spatial approaches
title Susceptibility of a Multivariate Approach to the Measurement of Neighborhood-Level Socioeconomic Status in Neighborhoods and Health Research: Descriptive Findings with Analytical Reasoning
title_full Susceptibility of a Multivariate Approach to the Measurement of Neighborhood-Level Socioeconomic Status in Neighborhoods and Health Research: Descriptive Findings with Analytical Reasoning
title_fullStr Susceptibility of a Multivariate Approach to the Measurement of Neighborhood-Level Socioeconomic Status in Neighborhoods and Health Research: Descriptive Findings with Analytical Reasoning
title_full_unstemmed Susceptibility of a Multivariate Approach to the Measurement of Neighborhood-Level Socioeconomic Status in Neighborhoods and Health Research: Descriptive Findings with Analytical Reasoning
title_short Susceptibility of a Multivariate Approach to the Measurement of Neighborhood-Level Socioeconomic Status in Neighborhoods and Health Research: Descriptive Findings with Analytical Reasoning
title_sort susceptibility of a multivariate approach to the measurement of neighborhood level socioeconomic status in neighborhoods and health research descriptive findings with analytical reasoning
topic neighborhood advantage
neighborhood disadvantage
neighborhood deprivation
composite population
areal median filtering
spatial approaches
url https://www.mdpi.com/2076-0760/13/12/693
work_keys_str_mv AT masayoshioka susceptibilityofamultivariateapproachtothemeasurementofneighborhoodlevelsocioeconomicstatusinneighborhoodsandhealthresearchdescriptivefindingswithanalyticalreasoning