The Impact of Diabetes on Workforce Participation: Results from a National Household Sample
Objective. Diabetes is a highly prevalent condition that results in substantial morbidity and premature mortality. We investigated how diabetes‐associated mortality, disability, early retirement, and work absenteeism impacts workforce participation. Data Source. We used the Health and Retirement Stu...
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description | Objective. Diabetes is a highly prevalent condition that results in substantial morbidity and premature mortality. We investigated how diabetes‐associated mortality, disability, early retirement, and work absenteeism impacts workforce participation.
Data Source. We used the Health and Retirement Study (HRS), a national household sample of adults aged 51–61 in 1992, as a data source.
Study Design. We conducted cross‐sectional analyses on the baseline HRS data, and longitudinal analyses using data from eight years of follow‐up. We used two‐part regression models to estimate the adjusted impact of diabetes on workforce participation, and then estimated the economic impact of diabetes‐related losses in productivity.
Principal Findings. Diabetes is a significant predictor of lost productivity. The incremental lost income due to diabetes by 1992 was $60.0 billion over an average diabetes duration of 9.7 years. From 1992 to 2000, diabetes was responsible for $4.4 billion in lost income due to early retirement, $0.5 billion due to increased sick days, $31.7 billion due to disability, and $22.0 billion in lost income due to premature mortality, for a total of $58.6 billion dollars in lost productivity, or $7.3 billion per year.
Conclusions. In the U.S. population of adults born between 1931 and 1941, diabetes is associated with a profound negative impact on economic productivity. By 1992, an estimated $60 billion in lost productivity was associated with diabetes; additional annual losses averaged $7.3 billion over the next eight years, totaling about $120 billion by the year 2000. Given the rising prevalence of diabetes, these costs are likely to increase substantially unless countered by better public health or medical interventions. |
doi_str_mv | 10.1111/j.1475-6773.2004.00311.x |
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Data Source. We used the Health and Retirement Study (HRS), a national household sample of adults aged 51–61 in 1992, as a data source.
Study Design. We conducted cross‐sectional analyses on the baseline HRS data, and longitudinal analyses using data from eight years of follow‐up. We used two‐part regression models to estimate the adjusted impact of diabetes on workforce participation, and then estimated the economic impact of diabetes‐related losses in productivity.
Principal Findings. Diabetes is a significant predictor of lost productivity. The incremental lost income due to diabetes by 1992 was $60.0 billion over an average diabetes duration of 9.7 years. From 1992 to 2000, diabetes was responsible for $4.4 billion in lost income due to early retirement, $0.5 billion due to increased sick days, $31.7 billion due to disability, and $22.0 billion in lost income due to premature mortality, for a total of $58.6 billion dollars in lost productivity, or $7.3 billion per year.
Conclusions. In the U.S. population of adults born between 1931 and 1941, diabetes is associated with a profound negative impact on economic productivity. By 1992, an estimated $60 billion in lost productivity was associated with diabetes; additional annual losses averaged $7.3 billion over the next eight years, totaling about $120 billion by the year 2000. Given the rising prevalence of diabetes, these costs are likely to increase substantially unless countered by better public health or medical interventions.</description><identifier>ISSN: 0017-9124</identifier><identifier>EISSN: 1475-6773</identifier><identifier>DOI: 10.1111/j.1475-6773.2004.00311.x</identifier><identifier>PMID: 15533180</identifier><identifier>CODEN: HESEA5</identifier><language>eng</language><publisher>Oxford, UK: Blackwell Publishing</publisher><subject>Absenteeism ; Care and treatment ; Chronic Disease ; Cohort Studies ; Cost of Illness ; Cross-Sectional Studies ; Diabetes ; Diabetes mellitus ; Diabetes Mellitus - economics ; Diabetes Mellitus - physiopathology ; Disability ; Disability evaluation ; Disabled Persons ; Early retirement ; Economic impact ; Efficiency ; Employment ; Female ; Health aspects ; Health economics ; Health Services Research ; Health Status Indicators ; Humans ; Labor force ; Living with Chronic Illness ; Longitudinal Studies ; Male ; Medical economics ; Middle Aged ; Mortality ; Productivity ; Regression analysis ; Retirees ; Risk factors ; Studies ; Surveys ; United States - epidemiology ; Workforce</subject><ispartof>Health services research, 2004-12, Vol.39 (6p1), p.1653-1670</ispartof><rights>COPYRIGHT 2004 Health Research and Educational Trust</rights><rights>COPYRIGHT 2004 Health Research and Educational Trust</rights><rights>Copyright Blackwell Publishing Dec 2004</rights><rights>2004 Health Research and Education Trust. All rights reserved 2004</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c8141-814ee9a96412290d2d45fbf3826c6dd46825093def3609b75cd8927912ddb6783</citedby><cites>FETCH-LOGICAL-c8141-814ee9a96412290d2d45fbf3826c6dd46825093def3609b75cd8927912ddb6783</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC1361091/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC1361091/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,723,776,780,881,1411,27901,27902,30976,45550,45551,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/15533180$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Vijan, Sandeep</creatorcontrib><creatorcontrib>Hayward, Rodney A.</creatorcontrib><creatorcontrib>Langa, Kenneth M.</creatorcontrib><title>The Impact of Diabetes on Workforce Participation: Results from a National Household Sample</title><title>Health services research</title><addtitle>Health Serv Res</addtitle><description>Objective. Diabetes is a highly prevalent condition that results in substantial morbidity and premature mortality. We investigated how diabetes‐associated mortality, disability, early retirement, and work absenteeism impacts workforce participation.
Data Source. We used the Health and Retirement Study (HRS), a national household sample of adults aged 51–61 in 1992, as a data source.
Study Design. We conducted cross‐sectional analyses on the baseline HRS data, and longitudinal analyses using data from eight years of follow‐up. We used two‐part regression models to estimate the adjusted impact of diabetes on workforce participation, and then estimated the economic impact of diabetes‐related losses in productivity.
Principal Findings. Diabetes is a significant predictor of lost productivity. The incremental lost income due to diabetes by 1992 was $60.0 billion over an average diabetes duration of 9.7 years. From 1992 to 2000, diabetes was responsible for $4.4 billion in lost income due to early retirement, $0.5 billion due to increased sick days, $31.7 billion due to disability, and $22.0 billion in lost income due to premature mortality, for a total of $58.6 billion dollars in lost productivity, or $7.3 billion per year.
Conclusions. In the U.S. population of adults born between 1931 and 1941, diabetes is associated with a profound negative impact on economic productivity. By 1992, an estimated $60 billion in lost productivity was associated with diabetes; additional annual losses averaged $7.3 billion over the next eight years, totaling about $120 billion by the year 2000. Given the rising prevalence of diabetes, these costs are likely to increase substantially unless countered by better public health or medical interventions.</description><subject>Absenteeism</subject><subject>Care and treatment</subject><subject>Chronic Disease</subject><subject>Cohort Studies</subject><subject>Cost of Illness</subject><subject>Cross-Sectional Studies</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Diabetes Mellitus - economics</subject><subject>Diabetes Mellitus - physiopathology</subject><subject>Disability</subject><subject>Disability evaluation</subject><subject>Disabled Persons</subject><subject>Early retirement</subject><subject>Economic impact</subject><subject>Efficiency</subject><subject>Employment</subject><subject>Female</subject><subject>Health aspects</subject><subject>Health economics</subject><subject>Health Services Research</subject><subject>Health Status Indicators</subject><subject>Humans</subject><subject>Labor force</subject><subject>Living with Chronic Illness</subject><subject>Longitudinal Studies</subject><subject>Male</subject><subject>Medical economics</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>Productivity</subject><subject>Regression analysis</subject><subject>Retirees</subject><subject>Risk factors</subject><subject>Studies</subject><subject>Surveys</subject><subject>United States - epidemiology</subject><subject>Workforce</subject><issn>0017-9124</issn><issn>1475-6773</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2004</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>7QJ</sourceid><recordid>eNqNklFv0zAUhSMEYmXwF5DFwyQeEuw4dRIkJk1ltJNKB9tQH3iwXOemdefExU6g-_c4bdWtqA8kUhzZ37k3J_cEASI4Iv76sIxIkvZDlqY0ijFOIowpIdH6WdDbHzwPehiTNMxJnJwEr5xbYowzmiUvgxPS71NKMtwLft4tAF1VKyEbZEr0WYkZNOCQqdHU2PvSWAnom7CNkmolGmXqj-gGXKsbh0prKiTQZLMtNBqZ1sHC6ALdimql4XXwohTawZvdehr8-HJ5NxiF4-vh1eBiHMqMJCT0D4Bc5CwhcZzjIi6SfjkraRYzyYoiYVncxzktoKQM57O0L4ssj1PvqyhmLM3oaXC-rbtqZxUUEurGCs1XVlXCPnAjFD88qdWCz81vTigjOCe-wNmugDW_WnANr5SToLWowXviLMUMpwx78N0_4NK01nt3PCYkJXGWdZ8TbqG50MBVXRrfVM6hBt_b1FAqv31BYhYnONl0j47w_i6gUvKo4P2BwDMNrJu5aJ3j2XB8yIbHWGm0hjlwP4fB9SF_9oRfgNDNwhnddiN2h2C2BaU1zlko9_-bYN6FlC95l0XeZZF3IeWbkPK1l759Oq9H4S6VHvi0Bf545w__XZiPLm9v_NujaeW82b1e2Hsvol46nQz5GLPJ1-9Twif0L8ywAGA</recordid><startdate>200412</startdate><enddate>200412</enddate><creator>Vijan, Sandeep</creator><creator>Hayward, Rodney A.</creator><creator>Langa, Kenneth M.</creator><general>Blackwell Publishing</general><general>Health Research and Educational Trust</general><general>Blackwell Publishing Ltd</general><general>Blackwell Science Inc</general><scope>BSCLL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8GL</scope><scope>7QJ</scope><scope>K9.</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>200412</creationdate><title>The Impact of Diabetes on Workforce Participation: Results from a National Household Sample</title><author>Vijan, Sandeep ; Hayward, Rodney A. ; Langa, Kenneth M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c8141-814ee9a96412290d2d45fbf3826c6dd46825093def3609b75cd8927912ddb6783</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Absenteeism</topic><topic>Care and treatment</topic><topic>Chronic Disease</topic><topic>Cohort Studies</topic><topic>Cost of Illness</topic><topic>Cross-Sectional Studies</topic><topic>Diabetes</topic><topic>Diabetes mellitus</topic><topic>Diabetes Mellitus - economics</topic><topic>Diabetes Mellitus - physiopathology</topic><topic>Disability</topic><topic>Disability evaluation</topic><topic>Disabled Persons</topic><topic>Early retirement</topic><topic>Economic impact</topic><topic>Efficiency</topic><topic>Employment</topic><topic>Female</topic><topic>Health aspects</topic><topic>Health economics</topic><topic>Health Services Research</topic><topic>Health Status Indicators</topic><topic>Humans</topic><topic>Labor force</topic><topic>Living with Chronic Illness</topic><topic>Longitudinal Studies</topic><topic>Male</topic><topic>Medical economics</topic><topic>Middle Aged</topic><topic>Mortality</topic><topic>Productivity</topic><topic>Regression analysis</topic><topic>Retirees</topic><topic>Risk factors</topic><topic>Studies</topic><topic>Surveys</topic><topic>United States - epidemiology</topic><topic>Workforce</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Vijan, Sandeep</creatorcontrib><creatorcontrib>Hayward, Rodney A.</creatorcontrib><creatorcontrib>Langa, Kenneth M.</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: High School</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Health services research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Vijan, Sandeep</au><au>Hayward, Rodney A.</au><au>Langa, Kenneth M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Impact of Diabetes on Workforce Participation: Results from a National Household Sample</atitle><jtitle>Health services research</jtitle><addtitle>Health Serv Res</addtitle><date>2004-12</date><risdate>2004</risdate><volume>39</volume><issue>6p1</issue><spage>1653</spage><epage>1670</epage><pages>1653-1670</pages><issn>0017-9124</issn><eissn>1475-6773</eissn><coden>HESEA5</coden><abstract>Objective. Diabetes is a highly prevalent condition that results in substantial morbidity and premature mortality. We investigated how diabetes‐associated mortality, disability, early retirement, and work absenteeism impacts workforce participation.
Data Source. We used the Health and Retirement Study (HRS), a national household sample of adults aged 51–61 in 1992, as a data source.
Study Design. We conducted cross‐sectional analyses on the baseline HRS data, and longitudinal analyses using data from eight years of follow‐up. We used two‐part regression models to estimate the adjusted impact of diabetes on workforce participation, and then estimated the economic impact of diabetes‐related losses in productivity.
Principal Findings. Diabetes is a significant predictor of lost productivity. The incremental lost income due to diabetes by 1992 was $60.0 billion over an average diabetes duration of 9.7 years. From 1992 to 2000, diabetes was responsible for $4.4 billion in lost income due to early retirement, $0.5 billion due to increased sick days, $31.7 billion due to disability, and $22.0 billion in lost income due to premature mortality, for a total of $58.6 billion dollars in lost productivity, or $7.3 billion per year.
Conclusions. In the U.S. population of adults born between 1931 and 1941, diabetes is associated with a profound negative impact on economic productivity. By 1992, an estimated $60 billion in lost productivity was associated with diabetes; additional annual losses averaged $7.3 billion over the next eight years, totaling about $120 billion by the year 2000. Given the rising prevalence of diabetes, these costs are likely to increase substantially unless countered by better public health or medical interventions.</abstract><cop>Oxford, UK</cop><pub>Blackwell Publishing</pub><pmid>15533180</pmid><doi>10.1111/j.1475-6773.2004.00311.x</doi><tpages>18</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Absenteeism Care and treatment Chronic Disease Cohort Studies Cost of Illness Cross-Sectional Studies Diabetes Diabetes mellitus Diabetes Mellitus - economics Diabetes Mellitus - physiopathology Disability Disability evaluation Disabled Persons Early retirement Economic impact Efficiency Employment Female Health aspects Health economics Health Services Research Health Status Indicators Humans Labor force Living with Chronic Illness Longitudinal Studies Male Medical economics Middle Aged Mortality Productivity Regression analysis Retirees Risk factors Studies Surveys United States - epidemiology Workforce |
title | The Impact of Diabetes on Workforce Participation: Results from a National Household Sample |
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