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Effects of health status on work exit and absenteeism among the older working population in China: a secondary analysis of a cohort sample
OBJECTIVES: To analyse the effects of health status on work exit and absenteeism among the older working population in China. DESIGN: Secondary analysis of a cohort sample. SETTING AND PARTICIPANTS: Community samples who engaged in either agricultural or non-agriculture work or both in the 2011 wave...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6738687/ https://www.ncbi.nlm.nih.gov/pubmed/31501093 http://dx.doi.org/10.1136/bmjopen-2018-024115 |
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author | Li, Xin Zhang, Wei Sun, Huiying Anis, Aslam H |
author_facet | Li, Xin Zhang, Wei Sun, Huiying Anis, Aslam H |
author_sort | Li, Xin |
collection | PubMed |
description | OBJECTIVES: To analyse the effects of health status on work exit and absenteeism among the older working population in China. DESIGN: Secondary analysis of a cohort sample. SETTING AND PARTICIPANTS: Community samples who engaged in either agricultural or non-agriculture work or both in the 2011 wave of the China Health and Retirement Longitudinal Study (CHARLS) and whose age was 45–55 years for women or 45–60 years for men in the 2013 wave. OUTCOME MEASURES: Work exit and number of absent workdays due to health problems in 2013. To address the problems of measurement error of self-rated health status, we used disability condition, number of chronic diseases and functional limitation to construct an index of health. We divided the sample into four groups according to gender and work types (farmers who conducted any agricultural work in 2011 vs non-farmers who conducted non-agricultural work only) and conducted analyses separately. RESULTS: Farmers (11.0% for women and 4.9% for men) were less likely to exit from work than non-farmers (18.5% and 12.0%, respectively) but took more absent workdays (16.6 days for women and 15.0 days for men) than non-farmers (5.6 and 4.9). Poor health status in 2011 was significantly associated with the work exit in 2013 of female and male farmers but not non-farmers. Older workers (except female non-farmers) with persistently poor health or recent health deterioration over time were significantly more likely to stop working or missed more workdays than those with persistently good health. CONCLUSIONS: Poor 2-year lagged health predicts work exit for both male and female farmers, and increases the absent work days in all older working population. Persistently poor health or recent health deterioration over time has detrimental impact on labour market in terms of work exit and absenteeism among all older Chinese workers except for female non-farmers. |
format | Online Article Text |
id | pubmed-6738687 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-67386872019-09-25 Effects of health status on work exit and absenteeism among the older working population in China: a secondary analysis of a cohort sample Li, Xin Zhang, Wei Sun, Huiying Anis, Aslam H BMJ Open Health Economics OBJECTIVES: To analyse the effects of health status on work exit and absenteeism among the older working population in China. DESIGN: Secondary analysis of a cohort sample. SETTING AND PARTICIPANTS: Community samples who engaged in either agricultural or non-agriculture work or both in the 2011 wave of the China Health and Retirement Longitudinal Study (CHARLS) and whose age was 45–55 years for women or 45–60 years for men in the 2013 wave. OUTCOME MEASURES: Work exit and number of absent workdays due to health problems in 2013. To address the problems of measurement error of self-rated health status, we used disability condition, number of chronic diseases and functional limitation to construct an index of health. We divided the sample into four groups according to gender and work types (farmers who conducted any agricultural work in 2011 vs non-farmers who conducted non-agricultural work only) and conducted analyses separately. RESULTS: Farmers (11.0% for women and 4.9% for men) were less likely to exit from work than non-farmers (18.5% and 12.0%, respectively) but took more absent workdays (16.6 days for women and 15.0 days for men) than non-farmers (5.6 and 4.9). Poor health status in 2011 was significantly associated with the work exit in 2013 of female and male farmers but not non-farmers. Older workers (except female non-farmers) with persistently poor health or recent health deterioration over time were significantly more likely to stop working or missed more workdays than those with persistently good health. CONCLUSIONS: Poor 2-year lagged health predicts work exit for both male and female farmers, and increases the absent work days in all older working population. Persistently poor health or recent health deterioration over time has detrimental impact on labour market in terms of work exit and absenteeism among all older Chinese workers except for female non-farmers. BMJ Publishing Group 2019-09-09 /pmc/articles/PMC6738687/ /pubmed/31501093 http://dx.doi.org/10.1136/bmjopen-2018-024115 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Health Economics Li, Xin Zhang, Wei Sun, Huiying Anis, Aslam H Effects of health status on work exit and absenteeism among the older working population in China: a secondary analysis of a cohort sample |
title | Effects of health status on work exit and absenteeism among the older working population in China: a secondary analysis of a cohort sample |
title_full | Effects of health status on work exit and absenteeism among the older working population in China: a secondary analysis of a cohort sample |
title_fullStr | Effects of health status on work exit and absenteeism among the older working population in China: a secondary analysis of a cohort sample |
title_full_unstemmed | Effects of health status on work exit and absenteeism among the older working population in China: a secondary analysis of a cohort sample |
title_short | Effects of health status on work exit and absenteeism among the older working population in China: a secondary analysis of a cohort sample |
title_sort | effects of health status on work exit and absenteeism among the older working population in china: a secondary analysis of a cohort sample |
topic | Health Economics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6738687/ https://www.ncbi.nlm.nih.gov/pubmed/31501093 http://dx.doi.org/10.1136/bmjopen-2018-024115 |
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