Illness Absence Patterns Among Employees in a Petrochemical Facility: Impact of Selected Health Risk Factors

Background: Illness absence in a working population is a complex phenomenon and can be influenced by many factors, such as age, gender, and personal health nsk factors. The current study used prospectively collected employee health nsk and morbidity data to examine illness absence patterns for a wor...

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Veröffentlicht in:Journal of occupational and environmental medicine 2005-08, Vol.47 (8), p.838-846
Hauptverfasser: Tsai, Shan P., Wendt, Judy K., Ahmed, Farah S., Donnelly, Robin P., Strawmyer, Thomas R.
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container_end_page 846
container_issue 8
container_start_page 838
container_title Journal of occupational and environmental medicine
container_volume 47
creator Tsai, Shan P.
Wendt, Judy K.
Ahmed, Farah S.
Donnelly, Robin P.
Strawmyer, Thomas R.
description Background: Illness absence in a working population is a complex phenomenon and can be influenced by many factors, such as age, gender, and personal health nsk factors. The current study used prospectively collected employee health nsk and morbidity data to examine illness absence patterns for a working population and to quantify the impact of selected health nsk factors on employee illness absence. Methods: The study population consisted of 2550 regular employees working at a Texas petrochemical facility. Morbidity data were extracted from the company's Health Surveillance System, and records of absences were derived from personnel and payroll systems. The morbidity frequency rate and average duration of absence per employee per year were calculated by age, gender, and selected health risk factors, including smoking, body mass index, cholesterol, triglycérides, hypertension, and fasting glucose. Results. Morbidity frequency rates and average duration of absence increased with age and with the presence of health risk factors. The absence frequency rate increased with an increase in the number of risk factors present from no risk factors (11.8 per 100 employees) to four or more risk factors (32.3 per 100 employees). The number of workdays lost also increased with the number of risk factors present, with the least number of workdays lost by employees with zero risk factors (4.1 day), followed by one (6.4 days), two (8.8 days), three (9.3 days), and four or more risk factors (12.6 days). Conclusions: The impact of employee health risk factors has been shown in this study to be associated with absence frequency and duration of absence. Reduction in employee health risk factors can be an effective means of improving employees' health and increasing a company's productivity.
doi_str_mv 10.1097/01.jom.0000169091.28589.8a
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The current study used prospectively collected employee health nsk and morbidity data to examine illness absence patterns for a working population and to quantify the impact of selected health nsk factors on employee illness absence. Methods: The study population consisted of 2550 regular employees working at a Texas petrochemical facility. Morbidity data were extracted from the company's Health Surveillance System, and records of absences were derived from personnel and payroll systems. The morbidity frequency rate and average duration of absence per employee per year were calculated by age, gender, and selected health risk factors, including smoking, body mass index, cholesterol, triglycérides, hypertension, and fasting glucose. Results. Morbidity frequency rates and average duration of absence increased with age and with the presence of health risk factors. The absence frequency rate increased with an increase in the number of risk factors present from no risk factors (11.8 per 100 employees) to four or more risk factors (32.3 per 100 employees). The number of workdays lost also increased with the number of risk factors present, with the least number of workdays lost by employees with zero risk factors (4.1 day), followed by one (6.4 days), two (8.8 days), three (9.3 days), and four or more risk factors (12.6 days). Conclusions: The impact of employee health risk factors has been shown in this study to be associated with absence frequency and duration of absence. Reduction in employee health risk factors can be an effective means of improving employees' health and increasing a company's productivity.</description><identifier>ISSN: 1076-2752</identifier><identifier>EISSN: 1536-5948</identifier><identifier>DOI: 10.1097/01.jom.0000169091.28589.8a</identifier><identifier>PMID: 16093934</identifier><identifier>CODEN: JOEMFM</identifier><language>eng</language><publisher>Hagerstown, MD: Lippincott Williams &amp; Wilkins</publisher><subject>Absenteeism ; Adolescent ; Adult ; Age Factors ; Aged ; Biological and medical sciences ; Blood Glucose - analysis ; Chemical Industry - manpower ; Comorbidity ; Correlation analysis ; Databases, Factual ; Female ; Health risk assessment ; Health Status Indicators ; Humans ; Hypertension - epidemiology ; Illnesses ; Male ; Medical sciences ; Middle Aged ; Miscellaneous ; Occupational Health - statistics &amp; numerical data ; Occupational medicine ; ORIGINAL ARTICLES ; Petrochemicals ; Petroleum ; Productivity ; Public health. 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The current study used prospectively collected employee health nsk and morbidity data to examine illness absence patterns for a working population and to quantify the impact of selected health nsk factors on employee illness absence. Methods: The study population consisted of 2550 regular employees working at a Texas petrochemical facility. Morbidity data were extracted from the company's Health Surveillance System, and records of absences were derived from personnel and payroll systems. The morbidity frequency rate and average duration of absence per employee per year were calculated by age, gender, and selected health risk factors, including smoking, body mass index, cholesterol, triglycérides, hypertension, and fasting glucose. Results. Morbidity frequency rates and average duration of absence increased with age and with the presence of health risk factors. The absence frequency rate increased with an increase in the number of risk factors present from no risk factors (11.8 per 100 employees) to four or more risk factors (32.3 per 100 employees). The number of workdays lost also increased with the number of risk factors present, with the least number of workdays lost by employees with zero risk factors (4.1 day), followed by one (6.4 days), two (8.8 days), three (9.3 days), and four or more risk factors (12.6 days). Conclusions: The impact of employee health risk factors has been shown in this study to be associated with absence frequency and duration of absence. 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Hygiene-occupational medicine</subject><subject>Risk Factors</subject><subject>Sentinel Surveillance</subject><subject>Sex Distribution</subject><subject>Sick Leave - statistics &amp; numerical data</subject><subject>Smoking Cessation - statistics &amp; numerical data</subject><subject>Texas - epidemiology</subject><issn>1076-2752</issn><issn>1536-5948</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkltv1DAQhSMEoqXwE0BWpfKW4PuFt6pq6UqVqLg8R44zYZM68RJnVe2_Z5ZdQOKlfrHH-makc84UxTmjFaPOfKCsGtJYUTxMO-pYxa2yrrL-WXHKlNClctI-xzc1uuRG8ZPiVc4D4opR9bI4YZo64YQ8LeIqxglyJpdNhikAuffLAvOEH2OafpDrcRPTDiCTfiKe3MMyp7CGsQ8-khsf-tgvu49kNW58WEjqyFeIEBZoyS34uKzJlz4_7MElzfl18aLzMcOb431WfL-5_nZ1W959_rS6urwrB-EULW3oaNcpq4VFAQ3XLcr0vKPUCguhcUp1SrZNowFki7UB1QglWWugkUGIs-L9Ye5mTj-3kJd67HOAGP0EaZtrbaVWgponQe7QX4bsUyAzmjLmOILn_4FD2s4Tqq0549oJzRhC747QthmhrTdzP_p5V_-JBYGLI-AzGt3Nfgp9_scZqhgXe6HywD2miKnlh7h9hLle_7a-xv2QwmhZckoVtViW-5Wh2Pb20DZkjOXvWCmdM1Ib8QtmHLaR</recordid><startdate>200508</startdate><enddate>200508</enddate><creator>Tsai, Shan P.</creator><creator>Wendt, Judy K.</creator><creator>Ahmed, Farah S.</creator><creator>Donnelly, Robin P.</creator><creator>Strawmyer, Thomas R.</creator><general>Lippincott Williams &amp; Wilkins</general><general>The American College of Occupational and Environmental Medicine</general><general>Lippincott Williams &amp; Wilkins Ovid Technologies</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7T2</scope><scope>7U7</scope><scope>7U9</scope><scope>C1K</scope><scope>H94</scope><scope>K9.</scope><scope>7U1</scope><scope>7U2</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope><scope>7X8</scope></search><sort><creationdate>200508</creationdate><title>Illness Absence Patterns Among Employees in a Petrochemical Facility: Impact of Selected Health Risk Factors</title><author>Tsai, Shan P. ; Wendt, Judy K. ; Ahmed, Farah S. ; Donnelly, Robin P. ; Strawmyer, Thomas R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-j3950-8cf0ff58638076b26d169a2f00838ecb955f54dbb6ee4dcb97e5b3541d7eb4c33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Absenteeism</topic><topic>Adolescent</topic><topic>Adult</topic><topic>Age Factors</topic><topic>Aged</topic><topic>Biological and medical sciences</topic><topic>Blood Glucose - analysis</topic><topic>Chemical Industry - manpower</topic><topic>Comorbidity</topic><topic>Correlation analysis</topic><topic>Databases, Factual</topic><topic>Female</topic><topic>Health risk assessment</topic><topic>Health Status Indicators</topic><topic>Humans</topic><topic>Hypertension - epidemiology</topic><topic>Illnesses</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>Miscellaneous</topic><topic>Occupational Health - statistics &amp; numerical data</topic><topic>Occupational medicine</topic><topic>ORIGINAL ARTICLES</topic><topic>Petrochemicals</topic><topic>Petroleum</topic><topic>Productivity</topic><topic>Public health. Hygiene-occupational medicine</topic><topic>Risk Factors</topic><topic>Sentinel Surveillance</topic><topic>Sex Distribution</topic><topic>Sick Leave - statistics &amp; numerical data</topic><topic>Smoking Cessation - statistics &amp; numerical data</topic><topic>Texas - epidemiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tsai, Shan P.</creatorcontrib><creatorcontrib>Wendt, Judy K.</creatorcontrib><creatorcontrib>Ahmed, Farah S.</creatorcontrib><creatorcontrib>Donnelly, Robin P.</creatorcontrib><creatorcontrib>Strawmyer, Thomas R.</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Toxicology Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Risk Abstracts</collection><collection>Safety Science and Risk</collection><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of occupational and environmental medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tsai, Shan P.</au><au>Wendt, Judy K.</au><au>Ahmed, Farah S.</au><au>Donnelly, Robin P.</au><au>Strawmyer, Thomas R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Illness Absence Patterns Among Employees in a Petrochemical Facility: Impact of Selected Health Risk Factors</atitle><jtitle>Journal of occupational and environmental medicine</jtitle><addtitle>J Occup Environ Med</addtitle><date>2005-08</date><risdate>2005</risdate><volume>47</volume><issue>8</issue><spage>838</spage><epage>846</epage><pages>838-846</pages><issn>1076-2752</issn><eissn>1536-5948</eissn><coden>JOEMFM</coden><abstract>Background: Illness absence in a working population is a complex phenomenon and can be influenced by many factors, such as age, gender, and personal health nsk factors. The current study used prospectively collected employee health nsk and morbidity data to examine illness absence patterns for a working population and to quantify the impact of selected health nsk factors on employee illness absence. Methods: The study population consisted of 2550 regular employees working at a Texas petrochemical facility. Morbidity data were extracted from the company's Health Surveillance System, and records of absences were derived from personnel and payroll systems. The morbidity frequency rate and average duration of absence per employee per year were calculated by age, gender, and selected health risk factors, including smoking, body mass index, cholesterol, triglycérides, hypertension, and fasting glucose. Results. Morbidity frequency rates and average duration of absence increased with age and with the presence of health risk factors. The absence frequency rate increased with an increase in the number of risk factors present from no risk factors (11.8 per 100 employees) to four or more risk factors (32.3 per 100 employees). The number of workdays lost also increased with the number of risk factors present, with the least number of workdays lost by employees with zero risk factors (4.1 day), followed by one (6.4 days), two (8.8 days), three (9.3 days), and four or more risk factors (12.6 days). Conclusions: The impact of employee health risk factors has been shown in this study to be associated with absence frequency and duration of absence. Reduction in employee health risk factors can be an effective means of improving employees' health and increasing a company's productivity.</abstract><cop>Hagerstown, MD</cop><pub>Lippincott Williams &amp; Wilkins</pub><pmid>16093934</pmid><doi>10.1097/01.jom.0000169091.28589.8a</doi><tpages>9</tpages></addata></record>
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source Jstor Complete Legacy; MEDLINE; Journals@Ovid Complete
subjects Absenteeism
Adolescent
Adult
Age Factors
Aged
Biological and medical sciences
Blood Glucose - analysis
Chemical Industry - manpower
Comorbidity
Correlation analysis
Databases, Factual
Female
Health risk assessment
Health Status Indicators
Humans
Hypertension - epidemiology
Illnesses
Male
Medical sciences
Middle Aged
Miscellaneous
Occupational Health - statistics & numerical data
Occupational medicine
ORIGINAL ARTICLES
Petrochemicals
Petroleum
Productivity
Public health. Hygiene-occupational medicine
Risk Factors
Sentinel Surveillance
Sex Distribution
Sick Leave - statistics & numerical data
Smoking Cessation - statistics & numerical data
Texas - epidemiology
title Illness Absence Patterns Among Employees in a Petrochemical Facility: Impact of Selected Health Risk Factors
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