[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-seo-331841-105":3,"detail-sidebar-cat-0-en-105":81,"doc-detail-331841-en":130},{"code":4,"msg":5,"data":6},0,"ok",{"site_id":7,"language":8,"slug":9,"title":10,"keywords":11,"description":12,"schema_data":13,"social_meta":74,"head_meta":76,"extra_data":78,"updated_unix":80},105,"en","longitudinal-position-and-cancer-risk-in-the-united-states-revisited","Longitudinal Position and Cancer Risk in the United States Revisited","","The study examines whether daylight saving time-related longitudinal positions within time zones and at time zone borders are associated with cancer incidence in the contiguous United States. Using 2016–2020 State Cancer Profiles data, researchers analyzed total incidence across 19 cancer types and eight specific cancers, adjusting for age and demographics. Log-linear regression and spatial models test within-zone and border discontinuities. Most results are not statistically significant, with exceptions for breast, prostate, and liver and bile duct cancers.",{"@graph":14,"@context":73},[15,34,56],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/document/","Document",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/document/research-report/","Research & Report",3,{"item":32,"name":10,"@type":21,"position":33},"https://docshare.wps.com/document/longitudinal-position-and-cancer-risk-in-the-united-states-revisited/331841/",4,{"url":32,"name":10,"@type":35,"image":36,"author":41,"headline":10,"publisher":44,"fileFormat":47,"inLanguage":8,"description":12,"dateModified":48,"datePublished":49,"encodingFormat":47,"isAccessibleForFree":50,"interactionStatistic":51},"DigitalDocument",{"url":37,"@type":38,"width":39,"height":40},"https://docshare.wps.com/thumbnails/longitudinal-position-and-cancer-risk-in-the-united-states-revisited/331841.png","ImageObject",300,407,{"name":42,"@type":43},"Himbo","Person",{"url":19,"name":45,"@type":46},"DocShare","Organization","application/pdf","2026-11-05","2026-09-21",true,{"@type":52,"interactionType":53,"userInteractionCount":55},"InteractionCounter",{"@type":54},"ViewAction",9,{"@type":57,"mainEntity":58},"FAQPage",[59,65,69],{"name":60,"@type":61,"acceptedAnswer":62},"What data and methods were used to assess cancer risk by longitudinal position?","Question",{"text":63,"@type":64},"The analysis used State Cancer Profiles data from 2016–2020 and examined 19 cancer types overall plus eight specific cancers. Log-linear regression replicated a previous approach, while spatial regression models assessed potential discontinuities at time zone borders.","Answer",{"name":66,"@type":61,"acceptedAnswer":67},"Did cancer incidence differ significantly within time zones or near borders?",{"text":68,"@type":64},"Cancer rate differences were not statistically significant within time zones and near borders for total cancer and most individual cancers. Significant relationships appeared only for breast, prostate, and liver and bile duct cancers at the 95% level.",{"name":70,"@type":61,"acceptedAnswer":71},"What direction were the significant effects for breast, liver and bile duct, and prostate cancers?",{"text":72,"@type":64},"Breast and liver and bile duct cancers showed decreases from west to east within time zones. Prostate cancer incidence increased from west to east within time zones.","https://schema.org",{"og:url":32,"og:type":75,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":77,"canonical":32},"index,follow",{"doc_id":79,"site_id":7},331841,1790013161,{"code":4,"msg":82,"data":83},"success",[84,88,92,96,101,106,111,115,119,122,126],{"id":22,"doc_module":4,"doc_module_name":25,"category_name":85,"show_sort_weight":86,"slug":87},"Story & Novel",90,"story-novel",{"id":26,"doc_module":4,"doc_module_name":25,"category_name":89,"show_sort_weight":90,"slug":91},"Literature",80,"literature",{"id":33,"doc_module":4,"doc_module_name":25,"category_name":93,"show_sort_weight":94,"slug":95},"Exam",70,"exam",{"id":97,"doc_module":4,"doc_module_name":25,"category_name":98,"show_sort_weight":99,"slug":100},5,"Comic",60,"comic",{"id":102,"doc_module":4,"doc_module_name":25,"category_name":103,"show_sort_weight":104,"slug":105},6,"Technology",50,"technology",{"id":107,"doc_module":4,"doc_module_name":25,"category_name":108,"show_sort_weight":109,"slug":110},7,"Healthcare",40,"healthcare",{"id":112,"doc_module":4,"doc_module_name":25,"category_name":29,"show_sort_weight":113,"slug":114},8,30,"research-report",{"id":55,"doc_module":4,"doc_module_name":25,"category_name":116,"show_sort_weight":117,"slug":118},"Religion & Spirituality",20,"religion-spirituality",{"id":117,"doc_module":4,"doc_module_name":25,"category_name":120,"show_sort_weight":117,"slug":121},"World Cup","world-cup",{"id":123,"doc_module":4,"doc_module_name":25,"category_name":124,"show_sort_weight":123,"slug":125},10,"Lifestyle","lifestyle",{"id":127,"doc_module":4,"doc_module_name":25,"category_name":128,"show_sort_weight":97,"slug":129},19,"General","general",{"code":4,"msg":82,"data":131},{"doc_id":79,"user_id":132,"nickname":42,"user_avatar":133,"doc_module":4,"category_id":112,"category_name":29,"doc_title":10,"doc_description":12,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":55,"is_deleted":4,"is_public":22,"is_downloadable":22,"audit_status":22,"page_count":55,"language":139,"language_code":8,"site_id":7,"html_lang":8,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":12,"update_tm":143,"read_time":144,"preview_page_count":4},687197100911,"https://ap-avatar.wpscdn.com/avatar/a000239b6f1da00475?x-image-process=image/resize,m_fixed,w_180,h_180&k=1785132997149421697","RESEARCH ARTICLE  [https://doi.org/10.1158/2767-9764.CRC-23-0503](https://doi.org/10.1158/2767-9764.CRC-23-0503)   \nLongitudinal Position and Cancer Risk in the United States Revisited  \nJin Niu1 , Charlotte Brown2 , Michael Law3 , Justin A. Colacino4 , and Ya’acov Ritov5  \nOPEN  \nACCESS  \nCheck for updates  \nABSTRACT  \nThe debate over daylight saving time (DST) has surged, with interests in the effects of sunlight exposure on health. Prior studies simulated DSTand standard time conditions by analyzing different locations within timezones and neighboring areas across time zone borders. We analyzed cancer incidence rates from various longitudinal positions within time zonesand at time zone borders in the contiguous United States. Using data from State Cancer Profiles (2016–2020), we analyzed total cancer of 19 types and specific rates for eight cancers, adjusted for age and includes all demographics. log-linear regression is used to replicate a previous study, and spatial regression models are employed to explore discontinuities at borders. Cancer rate differences lack statistical significance within time zones and near borders for total cancer and most individual cancers. Exceptions included breast, prostate, and liver and bile duct cancers, which exhibited significant relationships with relative position at the 95% significance level. Breast and liver and bile duct cancers saw decreases, while prostate cancer incidence increased from west to east within time zones. Relative position does not have a significant impact on cancer incidence, hence cancer development in general. Isolated exceptions may warrant further investigation as  \nmore data become available. Our findings challenge prior research, revealing numerous inconsistencies. These disparities urge a reconsideration of the potential disparities in human health associated with DST and standard time. They offer insights contribute to the ongoing discussion surrounding the retention or abandonment of DST.  \nSignificance: In this article, we investigate the relation between the epidemiology of cancer incidence in the United States and time zone–related longitudinal positions. Our results differ from previous research, which were based on a subset of our data, and show that the time zone effect on cancer incidence rate is not significant. Our research provides implications on the implementation of DST by suggesting that there is no cancer-risk associated reason to prefer one time over the other. Our study also uses regression discontinuity design using natural splines, a more advanced statistical method, to increase robustness of our result. Our findings challenge prior research, revealing numerous inconsistencies. These disparities urge a reconsideration of the potential disparities in human health associated with DST and standard time. They offer insights contribute to the ongoing discussion surrounding the retention or abandonment of DST.  \nIntroduction  \nGu and colleagues (1) investigated the relationship between the total cancer rate of 23 types, and subgroups of breast cancer, with the relative position in a timezone (the difference between a county’s longitude and the standard meridian of the time zone it is in) in the continental United States. They found that risk for developing cancer is increasing from the east to the west within a time zone, which may be attributed to a greater lag between social time and solar time  \n1 Department of Economics, Brown University, Providence, Rhode Island.  \n2 Department of Statistics, University of Michigan, Ann Arbor, Michigan. 3 Seminar für Statistik, ETH Zürich, Zürich, Switzerland. 4 School of Public Health, University of Michigan, Ann Arbor, Michigan. 5 Department of Statistics, University of Michigan, Ann Arbor, Michigan.  \nCorresponding Author: Jin Niu, Brown University, 69 Brown St., Box B, Providence, RI 02912 . E-mail: [jin_niu@brown.edu](jin_niu@brown.edu)  \n[doi:](doi: 10.1158/2767-9764.CRC-23-0503)[ 10.1158/2767-9764","cbCailsljzP86Qf5","https://ap.wps.com/l/cbCailsljzP86Qf5","pdf",5221976,"English","# Abstract\n# Significance\n# Introduction","[{\"question\":\"What data and methods were used to assess cancer risk by longitudinal position?\",\"answer\":\"The analysis used State Cancer Profiles data from 2016–2020 and examined 19 cancer types overall plus eight specific cancers. Log-linear regression replicated a previous approach, while spatial regression models assessed potential discontinuities at time zone borders.\"},{\"question\":\"Did cancer incidence differ significantly within time zones or near borders?\",\"answer\":\"Cancer rate differences were not statistically significant within time zones and near borders for total cancer and most individual cancers. Significant relationships appeared only for breast, prostate, and liver and bile duct cancers at the 95% level.\"},{\"question\":\"What direction were the significant effects for breast, liver and bile duct, and prostate cancers?\",\"answer\":\"Breast and liver and bile duct cancers showed decreases from west to east within time zones. Prostate cancer incidence increased from west to east within time zones.\"}]","Longitudinal Position and Cancer Risk in the United States Revisited | PDF",1789995426,23]