[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-427250-105":59,"doc-detail-427250-en":130},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":123,"head_meta":125,"extra_data":127,"updated_unix":129},105,"en","decomposing-midlife-hs-ged-health-disparities-the-role-of-employment-histories-abstract","DECOMPOSING MIDLIFE HS-GED HEALTH DISPARITIES - The Role of Employment Histories - Abstract","","Health disparities between high school (HS) diploma holders and GED recipients are well documented, yet the contribution of differential employment histories remains insufficiently studied. Using National Longitudinal Survey of Youth 1979 data (NLSY79, n=3,277), employment histories from ages 21–49 are constructed and linked to eight health outcomes observed in the 50+ Health Module. Sequence-based methods identify six typical life course employment patterns, and multivariate decomposition quantifies how HS-GED gaps reflect differences in distribution versus return, with key drivers tied to continuous full-time and prolonged inactive histories.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/decomposing-midlife-hs-ged-health-disparities-the-role-of-employment-histories-abstract/427250/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/decomposing-midlife-hs-ged-health-disparities-the-role-of-employment-histories-abstract/427250.png","ImageObject",300,407,{"name":92,"@type":93},"Olivia Brown","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-23","2026-09-29",true,{"@type":102,"interactionType":103,"userInteractionCount":44},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What research question does the study address about HS-GED health disparities?","Question",{"text":112,"@type":113},"It examines whether differences in employment histories help explain the health disparities between HS diploma holders and GED recipients.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How are employment histories analyzed in the study?",{"text":117,"@type":113},"Sequence-based analysis classifies employment histories into typical life course patterns across ages 21–49.",{"name":119,"@type":110,"acceptedAnswer":120},"Which employment patterns are main drivers of the HS-GED disparities?",{"text":121,"@type":113},"The differential distribution of “continuous full-time” and “prolonged inactive” employment histories is identified as the main driver across outcomes.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},427250,1790815381,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":44,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":8,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":143,"read_time":81},16904993612988,"https://ap-avatar.wpscdn.com/davatar_a8503ba1806abce46bf441b54a3ca4cd","Innovation in Aging, 2025, Vol. 9, No. S2 57  \nAbstract citation ID: igaf122.188  \nDECOMPOSING MIDLIFE HS-GED HEALTH  \nDISPARITIES: THE ROLE OF EMPLOYMENT  \nHISTORIES  \nWenxuan Huang, Johns Hopkins University, Baltimore, Maryland, United States  \nBackground: The health disparities between high school (HS) diploma holders and GED recipients have been well documented. However, limited research has examined how differential employment histories may contribute the observed HS-GED health disparities. Data: This study uses data from the National Longitudinal Survey of Youth 1979 (NLSY79, n = 3,277) to construct the employment histories (age 21-49) and examine eight health outcomes (e.g., self-rated health, functional limitations and depressive symptoms, etc.) observed in the 50+ Health Module. Methods: This study employs sequence-based analysis to classify employment histories into typical life course patterns. It then uses multivariate decomposition approach to determine the extent to which the HS-GED health disparities are attributable to differential distribution or differential return of typical employment histories. Results: This study identifies six typical  \nemployment patterns: (1) gradual withdrawal,(2) incremental integration, (3) prolonged inactive, (4) continuous full-time,(5) part-time dominated, and (6) military to civil work. The decomposition analysis suggests that both differential distribution and differential return between HS and GED groups play a role in explaining the HS-GED disparities, while the relative shares differ across health outcomes. Especially, the differential distribution of “continuous full-time” and “prolonged inactive”employment histories arise to be the main drivers of the HS-GED health disparities. These findings highlight the crucial role of employment histories in shaping HS-GED health disparities and raise the question of why similar employment histories yield discriminatory health returns between these two groups.","cbCaioOHCkq3U4Gb","https://ap.wps.com/l/cbCaioOHCkq3U4Gb","pdf",111980,"English","# Background\n## Data and Methods\n## Results\n## Implications","[{\"question\":\"What research question does the study address about HS-GED health disparities?\",\"answer\":\"It examines whether differences in employment histories help explain the health disparities between HS diploma holders and GED recipients.\"},{\"question\":\"How are employment histories analyzed in the study?\",\"answer\":\"Sequence-based analysis classifies employment histories into typical life course patterns across ages 21–49.\"},{\"question\":\"Which employment patterns are main drivers of the HS-GED disparities?\",\"answer\":\"The differential distribution of “continuous full-time” and “prolonged inactive” employment histories is identified as the main driver across outcomes.\"}]","DECOMPOSING MIDLIFE HS-GED HEALTH DISPARITIES - The Role of Employment Histories - Abstract | PDF",1790643313]