A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Beneficial associations between outdoor visible greenness at the workplace and metabolic syndrome in Chinese adults
Background: Greenness surrounding residential places has been found to significantly reduce the risk of diseases such as hypertension, obesity, and metabolic syndrome (MetS). However, it is unclear whether visible greenness exposure at the workplace has any impact on the risk of MetS. Methods: Visible greenness exposure was assessed using a Green View Index (GVI) based on street view images through a convolutional neural network model. We utilized logistic regression to examine the cross-sectional association between GVI and MetS as well as its components among 51,552 adults aged 18–60 in the city of Hangzhou, China, from January 2018 to December 2021. Stratified analyses were conducted by age and sex groups. Furthermore, a scenario analysis was conducted to investigate the risks of having MetS among adults in different GVI scenarios. Results: The mean age of the participants was 40.1, and 38.5% were women. We found a statistically significant association between GVI and having MetS. Compared to the lowest quartile of GVI, participants in the highest quartile of GVI had a 17% (95% CI: 11–23%) lower odds of having MetS. The protective association was stronger in the males, but we did not observe such differences in different age groups. Furthermore, we found inverse associations between GVI and the odds of hypertension, low high-density lipoprotein cholesterol, obesity, and high levels of FPG. Conclusions: Higher exposure to outdoor visible greenness in the workplace environment might have a protective effect against MetS.
Beneficial associations between outdoor visible greenness at the workplace and metabolic syndrome in Chinese adults
Background: Greenness surrounding residential places has been found to significantly reduce the risk of diseases such as hypertension, obesity, and metabolic syndrome (MetS). However, it is unclear whether visible greenness exposure at the workplace has any impact on the risk of MetS. Methods: Visible greenness exposure was assessed using a Green View Index (GVI) based on street view images through a convolutional neural network model. We utilized logistic regression to examine the cross-sectional association between GVI and MetS as well as its components among 51,552 adults aged 18–60 in the city of Hangzhou, China, from January 2018 to December 2021. Stratified analyses were conducted by age and sex groups. Furthermore, a scenario analysis was conducted to investigate the risks of having MetS among adults in different GVI scenarios. Results: The mean age of the participants was 40.1, and 38.5% were women. We found a statistically significant association between GVI and having MetS. Compared to the lowest quartile of GVI, participants in the highest quartile of GVI had a 17% (95% CI: 11–23%) lower odds of having MetS. The protective association was stronger in the males, but we did not observe such differences in different age groups. Furthermore, we found inverse associations between GVI and the odds of hypertension, low high-density lipoprotein cholesterol, obesity, and high levels of FPG. Conclusions: Higher exposure to outdoor visible greenness in the workplace environment might have a protective effect against MetS.
Beneficial associations between outdoor visible greenness at the workplace and metabolic syndrome in Chinese adults
Jiahao Pan (author) / Kejia Hu (author) / Xinyan Yu (author) / Wenyuan Li (author) / Yujie Shen (author) / Zhenya Song (author) / Yi Guo (author) / Min Yang (author) / Fang Hu (author) / Qunke Xia (author)
2024
Article (Journal)
Electronic Resource
Unknown
Greenness , Green space , Greenery , Street view , GVI , Workplace , Environmental sciences , GE1-350
Metadata by DOAJ is licensed under CC BY-SA 1.0
| Elsevier | 2024
Association between residential greenness and metabolic syndrome in Chinese adults
| DOAJ | 2020