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
Do factors impacting life satisfaction remain stable, or do they change, during the life course of workers? This study analyses the relationships between life satisfaction and age. This study is a secondary analysis of data from ENETS a health and working conditions survey. Workers were grouped into 5 age ranges. A scale of life satisfaction was analyzed, investigating aspects such as income, level of debt, physical and mental health, among others. The confirmatory factor analysis (CFA) showed that 4 of the 5 age ranges have a unifactorial structure, but for those under 30 years of age, 2 factors associated with "psychophysical well-being" and "material well-being" were identified. Thus, at different stages of productive life different priorities affect life satisfaction, this should be considered to optimize the human resources management.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10108415 | PMC |
http://dx.doi.org/10.1177/00469580231165867 | DOI Listing |
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