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: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
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
Background: Alzheimer's disease and related dementias (ADRD) disproportionately affect Latinos compared to non-Latino whites. Leveraging the non-monolithic structure of Latin America, which represents a large variability in social determinants of health (SDoH) and high levels of genetic admixture, we aimed to determine contributors to ADRD disparities within Latinos, focusing on genetic ancestry and SDoH.
Method: Community-dwelling participants aged 65 and older (n = 4000) from Cuba, Dominican Republic, Mexico, and Peru completed the 10/66 protocol assessments, including sociodemographic and risk factors questionnaire, neurological exam, cognitive assessment, and blood draw. Dementia was diagnosed using the cross-culturally validated 10/66 algorithm. Individual admixture proportions were determined using sixty ancestry-informative markers. To evaluate the effect of global ancestry on dementia and cognitive performance, we used multivariate linear regression models adjusted for SDoH (e.g., gender, education level, socioeconomic status (SES), rural area, and vascular risk factors).
Result: We observed extensive three-way (African/European/Native American) genetic ancestry variation between countries (Figure 1). Individuals with higher proportions of Native American (>70%) and African American (>70%) ancestry were more likely to exhibit factors contributing to worse SDoH, such as lower educational levels (p < 0.001), lower SES (p < 0.001), and higher frequency of vascular risk factors (p < 0.001). As a result, in unadjusted analysis, individuals with predominant African ancestry exhibited a higher dementia frequency (p = 0.03) and both Native American and African ancestry predominant groups showed lower cognitive performance relative to those with higher European ancestry (p<0.001). However, after adjusting for measures of SDoH, there was no association between ancestry proportion and dementia probability, and ancestry proportions no longer significantly accounted for the variance in cognitive performance (African predominant p = 0.31 [-0.19, 0.59] and Native predominant p = 0.74 [-0.24, 0.33]).
Conclusion: We report a comprehensive characterization of the role of global genetic ancestry in cognitive performance and dementia in Latin America while controlling for SDoH. In our study, adjustment of SDoH attenuated associations between genetic ancestry, dementia probability, and cognitive performance. These findings highlight that social and environmental factors likely play more critical roles than genetic ancestry in determining racial/ethnic disparities in cognitive performance and subsequent dementia risk.
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Source |
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http://dx.doi.org/10.1002/alz.086626 | DOI Listing |
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