[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-426546-105":59,"doc-detail-426546-en":134},{"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":127,"head_meta":129,"extra_data":131,"updated_unix":133},105,"en","mapping-lifecourse-reproductive-trajectories-in-a-nationally-representative-cohort-of-us-women-issue-s2-abstract","MAPPING LIFECOURSE REPRODUCTIVE TRAJECTORIES IN A NATIONALLY REPRESENTATIVE COHORT OF U.S. WOMEN - Issue S2 - Abstract","","Reproductive timing and experiences vary substantially among U.S. women, yet few studies classify reproductive life course trajectories in nationally representative, longitudinal cohorts. Using Waves I–V of the National Longitudinal Study of Adolescent to Adult Health (Add Health), trajectories were constructed from age at menarche, timing of first birth, total parity, reproductive lifespan, and pregnancy-related complications. Variables were harmonized across changing survey structures and temporally aligned, and latent class analysis identified distinct reproductive patterns. These trajectories reflect biologically relevant variation in timing and intensity, supporting research linking life course patterns to midlife chronic disease risk and molecular aging indicators. The work applies a novel approach in a large, nationally representative sample and provides classifications for further study of long-term health outcomes.",{"@graph":69,"@context":126},[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/mapping-lifecourse-reproductive-trajectories-in-a-nationally-representative-cohort-of-us-women-issue-s2-abstract/426546/",{"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/mapping-lifecourse-reproductive-trajectories-in-a-nationally-representative-cohort-of-us-women-issue-s2-abstract/426546.png","ImageObject",300,407,{"name":92,"@type":93},"Blitz","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-22","2026-09-29",true,{"@type":102,"interactionType":103,"userInteractionCount":39},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118,122],{"name":109,"@type":110,"acceptedAnswer":111},"Which data source and time waves were used to construct reproductive trajectories?","Question",{"text":112,"@type":113},"The analysis used Waves I–V from the National Longitudinal Study of Adolescent to Adult Health (Add Health) to build reproductive trajectories across adulthood.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"What variables were used to define the reproductive life course trajectories?",{"text":117,"@type":113},"Trajectories were based on age at menarche, timing of first birth, total parity, reproductive lifespan, and pregnancy-related complications.",{"name":119,"@type":110,"acceptedAnswer":120},"How were survey changes across waves handled in the analysis?",{"text":121,"@type":113},"Variables were harmonized and temporally aligned to accommodate changes in survey structure across different waves.",{"name":123,"@type":110,"acceptedAnswer":124},"What is the purpose of the identified trajectory classifications?",{"text":125,"@type":113},"The classifications provide a foundation for linking reproductive life course patterns to molecular indicators of aging and long-term health outcomes, including biologically relevant variation for midlife chronic disease risk.","https://schema.org",{"og:url":83,"og:type":128,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":130,"canonical":83},"index,follow",{"doc_id":132,"site_id":62},426546,1790810871,{"code":4,"msg":5,"data":135},{"doc_id":132,"user_id":136,"nickname":92,"user_avatar":137,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":138,"file_id":139,"file_url":140,"file_type":141,"file_size":142,"view_count":39,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":8,"language":143,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":144,"faqs":145,"seo_title":146,"seo_description":67,"update_tm":147,"read_time":81},24464137899374,"https://us-avatar.wpscdn.com/davatar_3d24733baf745e90a7e4bdd5f77d97b2","Innovation in Aging, 2025, Vol. 9, No. S2 1245  \nAbstract citation ID: igaf122.4161  \nMAPPING LIFECOURSE REPRODUCTIVE  \nTRAJECTORIES IN A NATIONALLY REPRESENTATIVE  \nCOHORT OF U.S. WOMEN  \nBrianah McCoy, and Lauren Gaydosh, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States  \nReproductive timing and experiences vary substantially among U.S. women, yet few studies have systematically classified reproductive life course trajectories in nationally representative, longitudinal cohorts. Using data from Waves I–V of the National Longitudinal Study of Adolescent to Adult Health (Add Health), we constructed reproductive trajectories based on age at menarche, timing of first birth, total parity, reproductive lifespan, and pregnancy-related complications. Variables were harmonized and temporally aligned to accommodate changes in survey structure across waves, and latent class analysis identified distinct reproductive patterns. These trajectories capture meaningful variation in reproductive timing and intensity that is hypothesized to be biologically relevant for chronic disease risk in midlife. This work is novel in its application to a large, nationally representative sample with rich longitudinal reproductive histories. The resulting classifications provide a foundation for ongoing research linking reproductive life course patterns to molecular indicators of aging and long-term health outcomes in women.","cbCaihe7uQ7jsbli","https://ap.wps.com/l/cbCaihe7uQ7jsbli","pdf",1092043,"English","# Abstract\n## Data source and longitudinal design\n## Trajectory construction and harmonization\n## Latent class analysis and identified patterns\n## Relevance to chronic disease risk and aging outcomes","[{\"question\":\"Which data source and time waves were used to construct reproductive trajectories?\",\"answer\":\"The analysis used Waves I–V from the National Longitudinal Study of Adolescent to Adult Health (Add Health) to build reproductive trajectories across adulthood.\"},{\"question\":\"What variables were used to define the reproductive life course trajectories?\",\"answer\":\"Trajectories were based on age at menarche, timing of first birth, total parity, reproductive lifespan, and pregnancy-related complications.\"},{\"question\":\"How were survey changes across waves handled in the analysis?\",\"answer\":\"Variables were harmonized and temporally aligned to accommodate changes in survey structure across different waves.\"},{\"question\":\"What is the purpose of the identified trajectory classifications?\",\"answer\":\"The classifications provide a foundation for linking reproductive life course patterns to molecular indicators of aging and long-term health outcomes, including biologically relevant variation for midlife chronic disease risk.\"}]","MAPPING LIFECOURSE REPRODUCTIVE TRAJECTORIES IN A NATIONALLY REPRESENTATIVE COHORT OF U.S. WOMEN - Issue S2 - Abstract | PDF",1790640862]