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
Objective: Presenteeism is gaining attention as an occupational health issue in Japan. However, few studies have longitudinally examined the associations between work- and health-related factors and presenteeism using validated instruments in Japan. Drawing on a theoretical framework, we aimed to examine longitudinal associations between job and workplace factors, health and physical factors, personal factors, and presenteeism among Japanese general employees. We also aimed to use the findings to identify educational factors to reduce presenteeism in the Japanese occupational field.
Methods: We conducted two surveys (T1: conducted 2019; T2: conducted 2020) in a Japanese food-related company using a self-administered questionnaire. Presenteeism was assessed using a work functioning impairment scale (WFun). We used multiple linear regression analysis to examine the associations between each factor at T1 and presenteeism at T2.
Results: A total of 2914 employees completed the T1 survey (response rate: 55.7%) and 1467 completed the T2 survey. Thus, we analyzed data for 1467 employees. Of these, 1038 (70.8%) were men and 886 (60.4%) were aged over 40 years at T1. The mean presenteeism score at T2 was 15.06 (standard deviation: 6.22). Multiple linear regression analysis showed that job demands, self-rated health status, dietary choices, and health literacy were associated with presenteeism after 1 year.
Conclusions: The findings suggest that job demands, self-rated health status, dietary habits, and health literacy were associated with higher degree of presenteeism in future. Further intervention studies focusing on these factors are needed to develop and examine effective interventions to reduce presenteeism in Japan.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9262122 | PMC |
http://dx.doi.org/10.1002/1348-9585.12344 | DOI Listing |
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