Distribution of Cardiovascular Health by Individual- and Neighborhood-Level Socioeconomic Status
Global Heart, ISSN: 2211-8160, Vol: 14, Issue: 3, Page: 241-250
2019
- 36Citations
- 63Usage
- 70Captures
- 1Mentions
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations36
- Citation Indexes36
- 36
- CrossRef17
- Usage63
- Downloads53
- Abstract Views10
- Captures70
- Readers70
- 70
- Mentions1
- News Mentions1
- 1
Most Recent News
Confounding by Socioeconomic Status in Epidemiological Studies of Air Pollution and Health: Challenges and Opportunities.(Commentary)
Introduction Studies in the United States and elsewhere have reported that long-term exposures to air pollution (AP) are associated with increased risk of all-cause (Dockery
Article Description
Data demonstrate a positive relationship between socioeconomic status (SES) and cardiovascular health (CVH). To assess the association between individual- and neighborhood-level SES and CVH among participants of the JHS (Jackson Heart Study), a community-based cohort of African Americans in Jackson, Mississippi. We included all JHS participants with complete SES and CVH information at the baseline study visit (n = 3,667). We characterized individual- and neighborhood-level SES according to income (primary analysis) and education (secondary analysis), respectively. The outcome of interest for these analyses was a CVH score, based on 7 modifiable behaviors and factors, summed to a total of 0 (worst) to 14 (best) points. We utilized generalized estimating equations to account for the clustering of participants within the same residential areas to estimate the linear association between SES and CVH. The median age of the participants was 55 years, and 64% were women. Nearly one-third of eligible participants had individual incomes <$20,000 and close to 40% lived in the lowest neighborhood income category (<$25,480). Adjusted for age, sex, and neighborhood SES, there was an average increase in CVH score of 0.31 points associated with each 1-category increase in individual income. Similarly, each 1-category increase in neighborhood SES was associated with a 0.19-point increase in CVH score. These patterns held for our secondary analyses, which used educational attainment in place of income. These data did not suggest a synergistic effect of individual- and neighborhood-level SES on CVH. Our findings suggest a potential causal pathway for disparities in CVH among vulnerable populations. These data can be useful to the JHS community to empower public health and clinical interventions and policies for the improvement of CVH.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S2211816019300754; http://dx.doi.org/10.1016/j.gheart.2019.04.007; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85064069257&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/31196828; https://globalheartjournal.com/article/10.1016/j.gheart.2019.04.007/; https://digitalcommons.wustl.edu/open_access_pubs/9292; https://digitalcommons.wustl.edu/cgi/viewcontent.cgi?article=10301&context=open_access_pubs; https://dx.doi.org/10.1016/j.gheart.2019.04.007; https://globalheartjournal.com/articles/abstract/10.1016/j.gheart.2019.04.007/
Ubiquity Press, Ltd.
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know