ArticleBMJ open2016
Assessing health disparities in children using a modified housing-related socioeconomic status measure: a cross-sectional study.
Article in BMJ open, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review of reasons for and against asking patients about their socioeconomic contexts.International journal for equity in health · 2019Pooled it
- Socioeconomic disparities in patient-reported outcomes, health literacy, and access to care among patients with primary brain tumors: findings from the All of Us Research Program.Journal of neuro-oncology · 2025Article
- Evaluating the Association Between Sociodemographic and Health Variables With Baseline Concussion Testing in Young Athletes.Orthopaedic journal of sports medicine · 2023Article
- A Comprehensive Review on Social Inequalities and Pregnancy Outcome-Identification of Relevant Pathways and Mechanisms.International journal of environmental research and public health · 2022Review
- Role of geographic risk factors and social determinants of health in COVID-19 epidemiology: Longitudinal geospatial analysis in a midwest rural region.Journal of clinical and translational science · 2022Article
- An Innovative Individual-Level Socioeconomic Measure Predicts Critical Care Outcomes in Older Adults: A Population-Based Study.Journal of intensive care medicine · 2021Article
- Article
- Mobile home residence as a risk factor for adverse events among children in a mixed rural-urban community: A case for geospatial analysis.Journal of clinical and translational science · 2020Article
- An Individual Housing-Based Socioeconomic Status Measure Predicts Advance Care Planning and Nursing Home Utilization.The American journal of hospice & palliative care · 2019Article
- Epidemiology of Children With Multiple Complex Chronic Conditions in a Mixed Urban-Rural US Community.Hospital pediatrics · 2019Article
- Socioeconomic status, race, and preadolescent acne: A population-based retrospective cohort analysis in a mixed rural-urban community of the United States (Olmsted County, Minnesota).Pediatric dermatologyArticle
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
objectivesSocioeconomic status (SES) is a well-established risk factor for many health outcomes. Recently, we developed an SES measure based on 4 housing-related characteristics (termed HOUSES) and demonstrated its ability to assess health disparities. In this study, we aimed to evaluate whether fewer housing-related characteristics could be used to provide a similar representation of SES. STUDY SETTING AND
participantsWe performed a cross-sectional study using parents/guardians of children aged 1-17 years from 2 US Midwestern counties (n=728 in Olmsted County, Minnesota, and n=701 in Jackson County, Missouri). PRIMARY AND SECONDARY OUTCOME MEASURES: For each participant, housing-related characteristics used in the formulation of HOUSES (assessed housing value, square footage, number of bedrooms and number of bathrooms) were obtained from the local government assessor's offices, and additional SES measures and health outcomes with known associations to SES (obesity, low birth weight and smoking exposure) were collected from a telephone survey. Housing characteristics with the greatest contribution for predicting the health outcomes were added to formulate a modified HOUSES index.
resultsAmong the 4 housing characteristics used in the original HOUSES, the strongest contributions for predicting health outcomes were observed from assessed housing value and square footage (combined contribution ranged between 89% and 96%). Based on this observation, these 2 were used to calculate a modified HOUSES index. Correlation between modified HOUSES and other SES measures was comparable to the original HOUSES for both locations. Consistent with the original HOUSES formula, the strongest association with modified HOUSES was observed with smoking exposure (OR=0.24 with 95% CI 0.11 to 0.49 for comparing participants in highest HOUSES vs lowest group; overall p<0.001).
conclusionsThe modified HOUSES requires only 2 readily available housing characteristics thereby improving the feasibility of using this index as a proxy for SES in multiple communities, especially in the US Midwestern region.
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