[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-seo-427568-105":3,"detail-sidebar-cat-0-en-105":74,"doc-detail-427568-en":124},{"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":67,"head_meta":69,"extra_data":71,"updated_unix":73},105,"en","internet-use-patterns-among-korean-baby-boomers-factors-influencing-gender-differences","INTERNET USE PATTERNS AMONG KOREAN BABY BOOMERS - Factors Influencing Gender Differences","","Korean Baby Boomers (born between 1955 and 1963) enter older adulthood with strong educational and economic resources, shaping how they navigate the digital environment. Using 2012 Korean Baby Boomers Panel Study data, the study applies latent class analysis across eleven online activities and multinomial logistic regression by gender (reference: rare users). Three Internet use patterns emerge: rare users, moderate users, and maximizers.",{"@graph":14,"@context":66},[15,34,49],{"@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/internet-use-patterns-among-korean-baby-boomers-factors-influencing-gender-differences/427568/",4,{"url":32,"name":10,"@type":35,"author":36,"headline":10,"publisher":39,"fileFormat":42,"inLanguage":8,"description":12,"dateModified":43,"datePublished":43,"encodingFormat":42,"isAccessibleForFree":44,"interactionStatistic":45},"DigitalDocument",{"name":37,"@type":38},"Ophelia","Person",{"url":19,"name":40,"@type":41},"DocShare","Organization","application/pdf","2026-09-29",true,{"@type":46,"interactionType":47,"userInteractionCount":4},"InteractionCounter",{"@type":48},"ViewAction",{"@type":50,"mainEntity":51},"FAQPage",[52,58,62],{"name":53,"@type":54,"acceptedAnswer":55},"What data and analytic methods are used to study Internet use patterns?","Question",{"text":56,"@type":57},"The study uses the 2012 Korean Baby Boomers Panel Study. Latent class analysis identifies usage patterns from eleven online activities, and multinomial logistic regression is run separately by gender using rare users as the reference group.","Answer",{"name":59,"@type":54,"acceptedAnswer":60},"What Internet use patterns are identified among Korean baby boomers?",{"text":61,"@type":57},"Three patterns are found: rare users (46.5%), moderate users (43.9%), and maximizers (9.6%).",{"name":63,"@type":54,"acceptedAnswer":64},"How do predictors differ between men and women across usage patterns?",{"text":65,"@type":57},"Men are more likely than women to be moderate users or maximizers. Compared with rare users, both moderate users and maximizers show greater involvement in social activities, more positive Internet attitudes, higher education, and younger age. For women, moderate users and maximizers meet friends/neighbors more often, while moderate users have smaller social networks; maximizers are more likely to be single. For men, moderate users meet friends/neighbors more often and maximizers meet relatives more often; male maximizers report higher loneliness. All reported p-values are less than .05.","https://schema.org",{"og:url":32,"og:type":68,"og:title":10,"og:site_name":40,"og:description":12},"article",{"robots":70,"canonical":32},"index,follow",{"doc_id":72,"site_id":7},427568,1790644238,{"code":4,"msg":75,"data":76},"success",[77,81,85,89,94,99,104,108,113,116,120],{"id":22,"doc_module":4,"doc_module_name":25,"category_name":78,"show_sort_weight":79,"slug":80},"Story & Novel",90,"story-novel",{"id":26,"doc_module":4,"doc_module_name":25,"category_name":82,"show_sort_weight":83,"slug":84},"Literature",80,"literature",{"id":33,"doc_module":4,"doc_module_name":25,"category_name":86,"show_sort_weight":87,"slug":88},"Exam",70,"exam",{"id":90,"doc_module":4,"doc_module_name":25,"category_name":91,"show_sort_weight":92,"slug":93},5,"Comic",60,"comic",{"id":95,"doc_module":4,"doc_module_name":25,"category_name":96,"show_sort_weight":97,"slug":98},6,"Technology",50,"technology",{"id":100,"doc_module":4,"doc_module_name":25,"category_name":101,"show_sort_weight":102,"slug":103},7,"Healthcare",40,"healthcare",{"id":105,"doc_module":4,"doc_module_name":25,"category_name":29,"show_sort_weight":106,"slug":107},8,30,"research-report",{"id":109,"doc_module":4,"doc_module_name":25,"category_name":110,"show_sort_weight":111,"slug":112},9,"Religion & Spirituality",20,"religion-spirituality",{"id":111,"doc_module":4,"doc_module_name":25,"category_name":114,"show_sort_weight":111,"slug":115},"World Cup","world-cup",{"id":117,"doc_module":4,"doc_module_name":25,"category_name":118,"show_sort_weight":117,"slug":119},10,"Lifestyle","lifestyle",{"id":121,"doc_module":4,"doc_module_name":25,"category_name":122,"show_sort_weight":90,"slug":123},19,"General","general",{"code":4,"msg":75,"data":125},{"doc_id":72,"user_id":126,"nickname":37,"user_avatar":127,"doc_module":4,"category_id":105,"category_name":29,"doc_title":10,"doc_description":12,"doc_content":128,"file_id":129,"file_url":130,"file_type":131,"file_size":132,"view_count":4,"is_deleted":4,"is_public":22,"is_downloadable":22,"audit_status":22,"page_count":22,"language":133,"language_code":8,"site_id":7,"html_lang":8,"table_of_contents":134,"faqs":135,"seo_title":136,"seo_description":12,"update_tm":73,"read_time":30},7971461741311,"https://ap-avatar.wpscdn.com/avatar/74000253aff267980c6?x-image-process=image/resize,m_fixed,w_180,h_180&k=1779345379180704826","828 Innovation in Aging, 2025, Vol. 9, No. S2  \nAbstract citation ID: igaf122.2807  \nINTERNET USE PATTERNS AMONG KOREAN BABY  \nBOOMERS: FACTORS INFLUENCING GENDER  \nDIFFERENCES  \nJeehoon Kim1, Ji Hyun Lee2, Hee Lee3, Young Ji Yoon4, and Dongwook Kim5, 1. Idaho State University, Pocatello, Idaho, United States, 2. Montana State University, Bozeman, Montana, United States, 3. The University of Alabama, Tuscaloosa, Alabama, United States, 4. Colorado State University Pueblo, Pueblo, Colorado, United States, 5. Arizona State University, Phoenix, Arizona, United States  \nKorean Baby Boomers (born between 1955 and 1963) are entering older adulthood with unprecedented educational and economic resources, enabling them to navigate the digital landscape more proficiently than previous generations. However, little is known about the patterns of Internet use and the gender-specific factors influencing their use. Using the 2012 Korean Baby Boomers Panel Study data, latent class analysis was conducted with eleven online activities. Multinomial logistic regression analysis was performed (reference: rare users) separately by gender. Predictors included health, social network size, social relationships, activity participation, loneliness, attitudes toward Internet use, and demographic variables. The participants (n = 3,227, Age M(SD)=52.8(2.6), 54% female) responded. Three use patterns were identified: rare users (46 .5%), moderate users (43 .9%), and maximizers (9 . 6%) .  \nMen were more likely to be moderate users or maximizers than women. Compared to rare users, both moderate users and maximizers engaged more in social activities, had more positive attitudes toward the Internet, higher educational attainment, and were younger. For women, moderate users and maximizers met friends/neighbors more often than rare users. Moderate users had smaller social networks, while maximizers were more likely to be single than rare users. For men, moderate users met friends/neighbors more often, while maximizers met relatives more often. Male maximizers were more likely to feel lonely than rare users. All findings had p-values less than .05. The gender differences in the relationship between social relationships, social networks, loneliness, and Internet use patterns will be discussed, along with intervention strategies for alleviating loneliness and enhancing social inclusion for maximizers.","cbCaiu11U02cjKUr","https://ap.wps.com/l/cbCaiu11U02cjKUr","pdf",743021,"English","# Abstract\n## Data and Methods\n## Internet Use Patterns\n## Gender Differences in Predictors\n## Findings and Implications","[{\"question\":\"What data and analytic methods are used to study Internet use patterns?\",\"answer\":\"The study uses the 2012 Korean Baby Boomers Panel Study. Latent class analysis identifies usage patterns from eleven online activities, and multinomial logistic regression is run separately by gender using rare users as the reference group.\"},{\"question\":\"What Internet use patterns are identified among Korean baby boomers?\",\"answer\":\"Three patterns are found: rare users (46.5%), moderate users (43.9%), and maximizers (9.6%).\"},{\"question\":\"How do predictors differ between men and women across usage patterns?\",\"answer\":\"Men are more likely than women to be moderate users or maximizers. Compared with rare users, both moderate users and maximizers show greater involvement in social activities, more positive Internet attitudes, higher education, and younger age. For women, moderate users and maximizers meet friends/neighbors more often, while moderate users have smaller social networks; maximizers are more likely to be single. For men, moderate users meet friends/neighbors more often and maximizers meet relatives more often; male maximizers report higher loneliness. All reported p-values are less than .05.\"}]","INTERNET USE PATTERNS AMONG KOREAN BABY BOOMERS - Factors Influencing Gender Differences | PDF"]