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This study examines how information and communication technology (ICT) relates to the protective effects of social support. Using 2016/2018 Health and Retirement Study data (n = 11,068; ages 51–102), latent profile analysis identifies four communication profiles: email dominant, SNS dominant, in-person/phone contact, and high interaction across channels. Multinomial logistic regression and path analyses test predictors and moderation of relationships with life satisfaction and loneliness, showing profile-specific protective effects and dampening patterns, and highlighting differentiated roles of SNS interactions.",{"@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/older-adults-communication-channel-profiles-correlates-implications-for-protective-effects-of-social-support/426568/",{"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/older-adults-communication-channel-profiles-correlates-implications-for-protective-effects-of-social-support/426568.png","ImageObject",300,407,{"name":92,"@type":93},"Well Done","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],{"name":109,"@type":110,"acceptedAnswer":111},"What communication profiles did the study identify among older adults?","Question",{"text":112,"@type":113},"Latent profile analysis identified four profiles: email dominant, SNS dominant, in-person/phone contact, and high interaction across all channels.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"Which social support relationship showed the strongest protective effect for the SNS dominant profile?",{"text":117,"@type":113},"The protective effect of support from children on well-being was strongest for the SNS dominant profile.",{"name":119,"@type":110,"acceptedAnswer":120},"How did the email dominant profile influence the effects of support from family and friends?",{"text":121,"@type":113},"The email dominant profile dampened the effects of support from family and friends.","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},426568,1791269554,{"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":39,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":14,"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":24},5909892210082,"https://ap-avatar.wpscdn.com/avatar/56001069da27c9f41e8?x-image-process=image/resize,m_fixed,w_180,h_180&k=1789614185077863061","396 Innovation in Aging, 2025, Vol. 9, No. S2  \nAbstract citation ID: igaf122.1348  \nOLDER ADULTS’ COMMUNICATION CHANNEL PROFILES: CORRELATES & IMPLICATIONS FOR PROTECTIVE EFFECTS OF SOCIAL SUPPORT  \nJungYeon Suh1, Ha Young Choi2, and Shannon Mejia1, 1. University of Illinois Urbana-Champaign, Champaign, Illinois, United States, 2. University of Illinois UrbanaChampaign, Urbana, Illinois, United States  \nSocial support is essential to health and well-being in later life. Age-related declines in social network size heightens the importance of social support. In this study we examine the implications of Information and Communication Technology (ICT) for the protective effects of social support. Using the 2016/2018 Health and Retirement Study (n = 11,068; aged 51-102), we employed latent profile analysis to identify four communication profiles: (1) email dominant (23.4%); (2) SNS dominant (13.4%);(3) in-person/phone contact (41.1%); and (4) high interaction across all channels (22.3%). Multinomial logistic regression and path analyses were conducted to identify sociodemographic predictors (age, gender, education, living alone status, and emotional and geographical closeness) of profile membership and how the profiles moderate relationships between social support and well-being (life satisfaction and loneliness) . Compared to the email dominant profile, SNS profile tended to be women, younger, more educated, have more emotionally and geographically close family, and fewer friends. Meanwhile, in-person/phone contact profile was more likely to be older, men, living alone, and have lower education, more emotionally close children, and family and friends who were geographically, but not emotionally close. The protective effect of support from children on well-being was strongest for the SNS dominant profile. Conversely, the email dominant profile dampened the effects of support from family and friends. Our findings imply that older adults adopt different communication strategies, shaping the protective effects of social support. Additionally, SNS interactions with specific social  \nInnovation in Aging, 2025, Vol. 9, No. S2 397  \nnetworks should be differentiated from general use, when assessing its effect on older adults’ well-being.","cbCainx2BXQJN7Zx","https://ap.wps.com/l/cbCainx2BXQJN7Zx","pdf",755375,"English","# Abstract\n## Study design and data\n## Communication profiles\n## Predictors of profile membership\n## Moderation effects on well-being\n## Implications","[{\"question\":\"What communication profiles did the study identify among older adults?\",\"answer\":\"Latent profile analysis identified four profiles: email dominant, SNS dominant, in-person/phone contact, and high interaction across all channels.\"},{\"question\":\"Which social support relationship showed the strongest protective effect for the SNS dominant profile?\",\"answer\":\"The protective effect of support from children on well-being was strongest for the SNS dominant profile.\"},{\"question\":\"How did the email dominant profile influence the effects of support from family and friends?\",\"answer\":\"The email dominant profile dampened the effects of support from family and friends.\"}]","OLDER ADULTS’ COMMUNICATION CHANNEL PROFILES - Correlates & Implications for Protective Effects of Social Support | PDF",1790640964]