Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1057
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3175
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
Psychol Aging
Department of Psychology.
Published: November 2019
Metabolic syndrome affects persons of all ages and has been associated with cognitive decline. In a sample of 221 healthy adults (18.57 to 85.33 years), assessed up to 3 times (over up to 6.33 years), we applied a second-order bivariate dual-change-score model with strong factorial invariance to estimate the effects of previous levels of metabolic risk (MR) and fluid intelligence (Gf) on subsequent changes in both constructs. The results indicated that MR levels affect subsequent changes in Gf, whereas Gf does not affect changes in MR. This suggests that control of MR may be related to the change in a person's cognitive status, making early intervention, starting in young adulthood, a promising approach. To our knowledge, this is the first long-term study with such evidence. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6829046 | PMC |
http://dx.doi.org/10.1037/pag0000402 | DOI Listing |
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