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Neighborhood Social and Built Environment and Disparities in the Risk of Hypertension: A Cross-Sectional Study

Author

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  • Regina Grazuleviciene

    (Department of Environmental Science, Vytautas Magnus University, K. Donelaicio 58, 44248 Kaunas, Lithuania)

  • Sandra Andrusaityte

    (Department of Environmental Science, Vytautas Magnus University, K. Donelaicio 58, 44248 Kaunas, Lithuania)

  • Tomas Gražulevičius

    (Department of Environmental Science, Vytautas Magnus University, K. Donelaicio 58, 44248 Kaunas, Lithuania)

  • Audrius Dėdelė

    (Department of Environmental Science, Vytautas Magnus University, K. Donelaicio 58, 44248 Kaunas, Lithuania)

Abstract

Citizens’ participation in urban environmental quality assessment is important when identifying local problems in the sustainable development and environmental planning policy. The principal aim of this study was to analyze whether any social differences exist between the joint effect of built neighborhood quality and exposure to urban green spaces and the risk of hypertension. The study sample consisted of 580 participants residing in 11 districts in Kaunas city, Lithuania. Using geographic information systems (GIS), individual data on the socioeconomic status (SES) and health were linked to the participants’ perceptions of the environmental quality and exposure to green spaces (NDVI). We used multivariate logistic regression to estimate associations as odds ratios (OR). Those study participants with lower education and those study participants with higher education on low incomes rated their health significantly worse. Low SES persons residing in areas with low exposure to green spaces had a significantly higher risk of hypertension when sex, age, family status, smoking, and income were accounted for (OR 1.83, 95% CI 1.01–3.36). This citizen science study provided evidence that the social environment and the quality of the built environment had a complex effect on disparities in the risk of hypertension.

Suggested Citation

  • Regina Grazuleviciene & Sandra Andrusaityte & Tomas Gražulevičius & Audrius Dėdelė, 2020. "Neighborhood Social and Built Environment and Disparities in the Risk of Hypertension: A Cross-Sectional Study," IJERPH, MDPI, vol. 17(20), pages 1-16, October.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:20:p:7696-:d:432565
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    References listed on IDEAS

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    7. Chia-Tsung Yeh & Ya-Yun Cheng & Tsai-Yun Liu, 2020. "Spatial Characteristics of Urban Green Spaces and Human Health: An Exploratory Analysis of Canonical Correlation," IJERPH, MDPI, vol. 17(9), pages 1-14, May.
    8. Hong Leng & Shuyuan Li & Shichun Yan & Xiuli An, 2020. "Exploring the Relationship between Green Space in a Neighbourhood and Cardiovascular Health in the Winter City of China: A Study Using a Health Survey for Harbin," IJERPH, MDPI, vol. 17(2), pages 1-19, January.
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    Cited by:

    1. Regina Grazuleviciene & Sandra Andrusaityte & Audrius Dėdelė & Tomas Grazulevicius & Leonas Valius & Aurimas Rapalavicius & Violeta Kapustinskiene & Inga Bendokiene, 2021. "Urban Environment and Health: A Cross-Sectional Study of the Influence of Environmental Quality and Physical Activity on Blood Pressure," IJERPH, MDPI, vol. 18(11), pages 1-15, June.
    2. Tanmoy Malaker & Qingmin Meng, 2024. "Urban Disparity Analytics Using GIS: A Systematic Review," Sustainability, MDPI, vol. 16(14), pages 1-26, July.
    3. Celina Koh & Michelle C. Kondo & Heather Rollins & Usama Bilal, 2022. "Socioeconomic Disparities in Hypertension by Levels of Green Space Availability: A Cross-Sectional Study in Philadelphia, PA," IJERPH, MDPI, vol. 19(4), pages 1-13, February.
    4. Aynaz Lotfata & George Grekousis & Ruoyu Wang, 2023. "Using geographical random forest models to explore spatial patterns in the neighborhood determinants of hypertension prevalence across chicago, illinois, USA," Environment and Planning B, , vol. 50(9), pages 2376-2393, November.

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