Related Experiment Video
Updated: Sep 22, 2025

04:38
A Middle Cerebral Artery Occlusion Technique for Inducing Post-stroke Depression in Rats
Published on: May 22, 2019
10.4K
Associations Between Residential Greenspace, Socioeconomic Status, and Stroke: A Matched Case-Control Study
Heloise Cheruvalath1, Jennifer Homa2, Maharaj Singh2,3
1Smith College, Northampton, MA.
Journal of Patient-Centered Research and Reviews
|May 23, 2022
Summary
Greater residential greenspace, measured by normalized difference vegetation index (NDVI), is linked to lower stroke risk. This environmental factor is an independent stroke risk factor, not just a proxy for socioeconomic status.
Area of Science:
- Environmental Health
- Epidemiology
- Public Health
Background:
- Increased residential greenspace is linked to better health outcomes, including post-stroke recovery.
- The role of greenspace as an independent stroke risk factor requires further investigation.
Purpose of the Study:
- To determine if residential greenspace is an independent risk factor for stroke.
- To analyze the association between greenspace, area deprivation index (ADI), and stroke incidence.
Main Methods:
- A retrospective, matched case-control study was conducted in Milwaukee County, Wisconsin.
- Greenspace was quantified using normalized difference vegetation index (NDVI) within a 250-meter radius of residences.
- Area Deprivation Index (ADI) data were obtained from the Neighborhood Atlas for census block tracts.
Main Results:
- Higher NDVI (greenspace) was inversely correlated with stroke risk (OR: 0.33, P=0.045).
- Living in the highest greenspace quartile reduced stroke odds by 19% compared to the lowest quartile (OR: 0.81, P=0.045).
- Higher ADI (deprivation) was associated with increased stroke risk (OR: 1.28, P=0.029), and disparities were observed in greenspace and ADI by race.
Conclusions:
- Greater residential greenspace is associated with lower odds of stroke in Milwaukee County.
- Normalized difference vegetation index (NDVI) is an independent risk factor for stroke.
- Lower socioeconomic status, indicated by ADI, is also a significant risk factor for stroke.
Related Concept Videos
Confounding in Epidemiological Studies
280
Confounding in statistical epidemiology represents a pivotal challenge, referring to the distortion in the perceived relationship between an exposure and an outcome due to the presence of a third variable, known as a confounder. This variable is associated with both the exposure and the outcome but is not a direct link in their causal chain. Its presence can lead to erroneous interpretations of the exposure's effect, either exaggerating or underestimating the true association. This...
280
Bias in Epidemiological Studies
714
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
714
Regulation of Stroke Volume
3.6K
The regulation of stroke volume, which is the amount of blood the heart pumps out during each heartbeat, is critical for maintaining a healthy circulatory system. Stroke volume is influenced by three main factors: preload, contractility, and afterload.
Preload refers to the degree of stretch on the heart before it contracts. It's analogous to the stretching of a rubber band; the more it's stretched, the more forcefully it snaps back. This concept is encapsulated in the Frank-Starling law of the...
Preload refers to the degree of stretch on the heart before it contracts. It's analogous to the stretching of a rubber band; the more it's stretched, the more forcefully it snaps back. This concept is encapsulated in the Frank-Starling law of the...
3.6K
Genome-wide Association Studies-GWAS
14.5K
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
GWAS does not require the identification of the target gene involved in...
14.5K
Strategies for Assessing and Addressing Confounding
163
Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
163

