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Nonlinear Relationships among the Natural Environment, Health, and Sociodemographic Characteristics across US Counties
Background: The aim of this study was to explore the nonlinear relationships between natural amenities and health at the intersection of sociodemographic characteristics among primary care patients with chronic conditions. Methods: We used survey data from 3409 adults across 119 US counties. PROMIS-...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9180717/ https://www.ncbi.nlm.nih.gov/pubmed/35682481 http://dx.doi.org/10.3390/ijerph19116898 |
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author | Bonnell, Levi N. Littenberg, Benjamin |
author_facet | Bonnell, Levi N. Littenberg, Benjamin |
author_sort | Bonnell, Levi N. |
collection | PubMed |
description | Background: The aim of this study was to explore the nonlinear relationships between natural amenities and health at the intersection of sociodemographic characteristics among primary care patients with chronic conditions. Methods: We used survey data from 3409 adults across 119 US counties. PROMIS-29 mental and physical health summary scores were the primary outcomes. The natural environment (measured using the County USDA Natural Amenities Scale (NAS)) was the primary predictor. Piecewise spline regression models were used to explore the relationships between NAS and health at the intersection of sociodemographic factors. Results: We identified a nonlinear relationship between NAS and health. Low-income individuals had a negative association with health with each increase in NAS in high-amenity areas only. However, White individuals had a stronger association with health with each increase in NAS in low-amenity areas. Conclusions: In areas with low natural amenities, more amenities are associated with better physical and mental health, but only for advantaged populations. Meanwhile, for disadvantaged populations, an increase in amenities in high-amenity areas is associated with decreases in mental and physical health. Understanding how traditionally advantaged populations utilize the natural environment could provide insight into the mechanisms driving these disparities. |
format | Online Article Text |
id | pubmed-9180717 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-91807172022-06-10 Nonlinear Relationships among the Natural Environment, Health, and Sociodemographic Characteristics across US Counties Bonnell, Levi N. Littenberg, Benjamin Int J Environ Res Public Health Article Background: The aim of this study was to explore the nonlinear relationships between natural amenities and health at the intersection of sociodemographic characteristics among primary care patients with chronic conditions. Methods: We used survey data from 3409 adults across 119 US counties. PROMIS-29 mental and physical health summary scores were the primary outcomes. The natural environment (measured using the County USDA Natural Amenities Scale (NAS)) was the primary predictor. Piecewise spline regression models were used to explore the relationships between NAS and health at the intersection of sociodemographic factors. Results: We identified a nonlinear relationship between NAS and health. Low-income individuals had a negative association with health with each increase in NAS in high-amenity areas only. However, White individuals had a stronger association with health with each increase in NAS in low-amenity areas. Conclusions: In areas with low natural amenities, more amenities are associated with better physical and mental health, but only for advantaged populations. Meanwhile, for disadvantaged populations, an increase in amenities in high-amenity areas is associated with decreases in mental and physical health. Understanding how traditionally advantaged populations utilize the natural environment could provide insight into the mechanisms driving these disparities. MDPI 2022-06-04 /pmc/articles/PMC9180717/ /pubmed/35682481 http://dx.doi.org/10.3390/ijerph19116898 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Bonnell, Levi N. Littenberg, Benjamin Nonlinear Relationships among the Natural Environment, Health, and Sociodemographic Characteristics across US Counties |
title | Nonlinear Relationships among the Natural Environment, Health, and Sociodemographic Characteristics across US Counties |
title_full | Nonlinear Relationships among the Natural Environment, Health, and Sociodemographic Characteristics across US Counties |
title_fullStr | Nonlinear Relationships among the Natural Environment, Health, and Sociodemographic Characteristics across US Counties |
title_full_unstemmed | Nonlinear Relationships among the Natural Environment, Health, and Sociodemographic Characteristics across US Counties |
title_short | Nonlinear Relationships among the Natural Environment, Health, and Sociodemographic Characteristics across US Counties |
title_sort | nonlinear relationships among the natural environment, health, and sociodemographic characteristics across us counties |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9180717/ https://www.ncbi.nlm.nih.gov/pubmed/35682481 http://dx.doi.org/10.3390/ijerph19116898 |
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