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
Aim: As older adults have longer leisure time and the types and influences of leisure activities they participate in are diverse, appropriate management of their leisure time would be important to optimize their subjective well-being. Although greater use of time management in educational and occupational settings is associated with better job performance, academic achievement, and the well-being of workers and students, few studies have investigated time management in leisure settings. This study aimed to examine the longitudinal association between leisure-time management and subjective well-being among older adults.
Methods: Data on 879 individuals in Nada Ward, Kobe, Japan were obtained from a three-wave questionnaire-based longitudinal survey (Wave 1: December 2017 to January 2018; Wave 2: after one year; Wave 3: after three years). In each survey, leisure-time management (newly developed in this study) and subjective well-being (simplified Japanese version of the World Health Organization Five Well-Being Index) were measured. This study used a cross-lagged model to analyze the longitudinal association between leisure-time management and subjective well-being after considering their inverse association.
Results: The cross-lagged model indicated that that the standardized path coefficients from leisure-time management in Wave 1 to subjective well-being in Wave 2 (0.13, p<0.001) and from leisure-time management in Wave 2 to subjective well-being in Wave 3 (0.06, p=0.042) were positive and significant.
Conclusions: This study found that leisure-time management is a determinant of subjective well-being among older adults. This finding indicates that the management of leisure time elevates one's subjective well-being among them.
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Source |
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http://dx.doi.org/10.1016/j.archger.2023.105263 | DOI Listing |
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