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Cross-sectional secondary analysis applies logistic regression to identify age-group-specific factors. Results show comparable prevalence across groups (41.7% vs 43.7%), with BMI ≥25 kg/m² consistently linked. Aerobic activity and high sugar intake inversely relate in early-old, while late-old shows inverse association for moderate activity but positive association for higher household income. Findings indicate subgroup-specific risk and support tailored survivorship care strategies.",{"@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":35,"@type":76,"position":81},"https://docshare.wps.com/document/healthcare/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/metabolic-syndrome-and-related-factors-in-early-old-and-late-old-cancer-survivors/459904/",{"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/metabolic-syndrome-and-related-factors-in-early-old-and-late-old-cancer-survivors/459904.png","ImageObject",300,407,{"name":92,"@type":93},"Stanford","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-22","2026-09-30",true,{"@type":102,"interactionType":103,"userInteractionCount":24},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"How was metabolic syndrome investigated across early-old and late-old cancer survivors?","Question",{"text":112,"@type":113},"The study used a cross-sectional secondary data analysis. Logistic regression identified factors associated with metabolic syndrome within each age group.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"What prevalence rates of metabolic syndrome were found in each age group?",{"text":117,"@type":113},"Metabolic syndrome prevalence was 41.7% in the early-old group and 43.7% in the late-old group.",{"name":119,"@type":110,"acceptedAnswer":120},"Which factors were associated with metabolic syndrome, and did they differ by age group?",{"text":121,"@type":113},"BMI ≥25 kg/m² was significantly associated in both groups. Aerobic physical activity and high sugar intake were inversely associated with metabolic syndrome in early-old, while moderate-intensity activity was inversely associated and high household income was positively associated in late-old.","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},459904,1791323248,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":34,"category_name":35,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":24,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":39,"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":46,"preview_page_count":4},2336477552062,"https://ap-avatar.wpscdn.com/davatar_994ba38a5ba835b3df7d355c54d3ed8d","OPEN ACCESS  \n[https://doi.org/10.20463/pan.2025.0039](https://doi.org/10.20463/pan.2025.0039)  \n2025;29(4):092-099  \nReceived: 2025/10/11, Revised: 2025/11/01, Accepted: 2025/12/19, Published: 2025/12/30  \n©2025 Ji Young Kim et al. ; License Physical Activity and Nutrition. This is an open access article distributed under the terms of the creative commons attribution license ([https://creativecommons.org/l](https://creativecommons.org/l)icenses/by-nc/2 .0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.  \n*Corresponding author : Minjeong An  \nChonnam National University College of Nursing, 160 Baekseoro, Dong-gu, Gwangju 61469, Republic of Korea  \nTel: +82-62-530-4961  \n[E-mail: anminjeong@jnu.ac.kr](E-mail: anminjeong@jnu.ac.kr)  \n©2025 The Korean Society for Exercise Nutrition  \n[Purpose] The purpose of this study was to examine the prevalence of, and factors associated with, metabolic syndrome in older cancer survivors by comparing early-old (65–74 years) and late-old (≥75 years) groups using nationally representative data.  \n[Methods] A cross-sectional secondary data analysis was performed. Logistic regression was used to identify factors associated with metabolic syndrome in each age group.  \n[Results] The prevalence of metabolic syndrome was 41.7% in the early-old group and 43.7% in the late-old group. In both groups, a body mass index ≥25 kg/m² was significantly associated with metabolic syndrome. Adherence to aerobic physical activity and high sugar intake were inversely associated with metabolic syndrome in the early-old group, and moderate-intensity physical activity was inversely associated, and high household income was positively associated, with metabolic syndrome in the late-old group.  \n[Conclusion] Risk factors for metabolic syndrome differ between early-old and late-old cancer survivors. Tailored health strategies that reflect subgroup characteristics are required to manage risks and improve survivorship care.  \n[Keywords] cancer survivors, metabolic syndrome, lifestyle, mental health, physical activity  \nMetabolic syndrome and related factors in early-old and late-old cancer survivors  \nSookyung Jeong1 / Minjeong An2*  \n1. Chonnam National University Hwasun Hospital, Hwasun; Chonnam National University College of Nursing, Gwangju, 61469, Republic of Korea  \n2. Chonnam National University College of Nursing, Gwangju, 61649, Republic of Korea  \nINTRODUCTION  \nGlobal population aging is accelerating. The proportion of people aged ≥65 years worldwide will increase from 10% in 2022 to 16% by 20501. By 2022, Japan, Italy, and Germany had become super-aged societies. South Korea entered an aging society in 2017 and reached super-aged society in December 2024, with over 20% of the population aged ≥65 years2. In addition to these demographic changes, the number of older adults diagnosed with cancer has also increased, accounting for nearly half of all cancer cases in South Korea in 20213. Advances in detection and treatment have improved survival; in South Korea, the 5-year survival rate for people with cancer increased from 65.5% in 2006–2010 to 72 . 1% in 2017–20213, and in the United States, from 69 .6% in 2006 to 72.6% in 20174. As long-term survival improves, attention has shifted toward the quality of life and long-term health management among cancer survivors5,6 .  \nOlder cancer survivors often face complex health needs because of age-related decline in physical, emotional, and cognitive functioning7 and a high prevalence of chronic conditions, such as hypertension and diabetes8. The rising prevalence ofcomorbidities among cancer survivors may reflect the combined influence of population aging, treatment-related toxicities, and behavioral changes following cancer diagnosis8. Given its role in increasing the risk of cardiovascular events and other chronic conditions, management of metabolic syndrome should be closely integrated with ","cbCaievEdZcHUGFS","https://ap.wps.com/l/cbCaievEdZcHUGFS","pdf",683306,"English","# Introduction\n# Purpose\n# Methods\n# Results\n# Conclusion\n## Keywords","[{\"question\":\"How was metabolic syndrome investigated across early-old and late-old cancer survivors?\",\"answer\":\"The study used a cross-sectional secondary data analysis. Logistic regression identified factors associated with metabolic syndrome within each age group.\"},{\"question\":\"What prevalence rates of metabolic syndrome were found in each age group?\",\"answer\":\"Metabolic syndrome prevalence was 41.7% in the early-old group and 43.7% in the late-old group.\"},{\"question\":\"Which factors were associated with metabolic syndrome, and did they differ by age group?\",\"answer\":\"BMI ≥25 kg/m² was significantly associated in both groups. Aerobic physical activity and high sugar intake were inversely associated with metabolic syndrome in early-old, while moderate-intensity activity was inversely associated and high household income was positively associated in late-old.\"}]","Metabolic syndrome and related factors in early-old and late-old cancer survivors | PDF",1790757234]