Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Introduction: Cardiovascular disease (CVD) is the leading cause of death in the United States. Certain demographic characteristics are associated with disparities in CVD and its risk factors, which may interact with specific social determinants of health (SDOH). We examined the association of a single SDOH (ie, poverty level) with diagnosed CVD morbidity and the joint influence of poverty and hypertension on the prevalence of CVD morbidity among non-Hispanic Black, non-Hispanic White, and Hispanic people aged 30 years or older.
Methods: We used data from the National Health and Nutrition Examination Survey collected during 1999 to 2018. We assessed the prevalence of diagnosed CVD morbidity (eg, self-reported coronary heart disease, angina, myocardial infarction, or stroke) by using a Poisson family with a log link regression model. We calculated the additive interaction of poverty level with hypertension on diagnosed CVD morbidity for each race and ethnicity.
Results: We found excess CVD morbidity among non-Hispanic Black and Hispanic people experiencing poverty and diagnosed with hypertension compared with their non-Hispanic White counterparts. Multivariate analysis found a higher prevalence of CVD among participants of all races and ethnicities who were experiencing poverty and among non-Hispanic White people who had less than a college education. In addition, age, hypertension, poverty, smoking, and weight were significant predictors of the prevalence of CVD morbidity among all racial and ethnic groups.
Conclusion: Changes to interventions, policies, and research may be needed to address the effect of key indicators of health disparities and specific SDOH, such as poverty level, that intersect with hypertension and contribute to excess CVD morbidity among people of some racial and ethnic groups, particularly non-Hispanic Black and Hispanic populations.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10684284 | PMC |
http://dx.doi.org/10.5888/pcd20.230065 | DOI Listing |
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