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  Empirical Evidences for Urban Influences on Public Health in Hamburg

von Szombathely, M., Bechtel, B., Lemke, B., Oßenbrügge, J., Pohl, T., & Pott, M. (2019). Empirical Evidences for Urban Influences on Public Health in Hamburg. Applied Sciences, 9(11): 2303. doi:10.3390/app9112303.

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 Creators:
von Szombathely, Malte1, Author
Bechtel, Benjamin2, Author           
Lemke, Bernd, Author
Oßenbrügge, Jürgen1, 3, Author           
Pohl , Thomas, Author
Pott, Maike, Author
Affiliations:
1The CliSAP Cluster of Excellence, External Organizations, ou_1832285              
2B 5 - Urban Systems - Test Bed Hamburg, Research Area B: Climate Manifestations and Impacts, The CliSAP Cluster of Excellence, External Organizations, ou_1863485              
3B 2 - Land Use and Land Cover Change, Research Area B: Climate Manifestations and Impacts, The CliSAP Cluster of Excellence, External Organizations, ou_1863482              

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Free keywords: UrbWellth; linear regression; self-rated health; Hamburg; well-being; urban health
 Abstract: Abstract: From the current perspectives of urban health and environmental justice research, health is the result of a combination of individual, social and environmental factors. Yet, there are only few attempts to determine their joint influence on health and well-being. Grounded in debates surrounding conceptual models and based on a data set compiled for the city of Hamburg, this paper aims to provide insights into the most important variables influencing urban health. Theoretically, we are primarily referring to the conceptual model of health-related urban well-being (UrbWellth), which systemizes urban influences in four sectors. The systematization of the conceptual model is empirically confirmed by a principal component analysis: the factors derived from the data correspond well with the deductively derived model. Additionally, a multiple linear regression analysis was used to identify the most important variables influencing the participant’s self-rated health (SRH): rating of one’s social network, rating of neighborhood air quality, rating of neighborhood health infrastructure, heat stress (day/outdoors), cold stress (night/indoors). When controlling for age, income and smoking behavior, these variables explain 12% of the variance of SRH. Thus, these results support the concept of UrbWellth empirically. Finally, the study design helped to identify hotspots with negative impact on SRH within the research areas.

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Language(s): eng - English
 Dates: 2019-06
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.3390/app9112303
 Degree: -

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Title: Applied Sciences
Source Genre: Journal
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Publ. Info: Basel, Schweiz : MDPI
Pages: - Volume / Issue: 9 (11) Sequence Number: 2303 Start / End Page: - Identifier: ISSN: 2076-3417
CoNE: https://pure.mpg.de/cone/journals/resource/2076-3417