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Recent advances in mobile technology have allowed individuals to engage in sexting (i.e., sharing sexual words and images via technology). Researchers have examined the prevalence and correlates of sexting, but differences in samples and definitions make it difficult to develop a cohesive picture of adult sexting. This study extends our understanding of sexting behavior by using binationally-representative data from 615 Americans and Canadians in committed heterosexual and same-sex couple relationships from The Couple Well-Being Project. Using latent profile analysis, we explored how individuals' patterns of sending and receiving explicit word and/or picture text messages illustrated distinct profiles of sexting behavior. The analyses revealed 4 distinct groups of sexters: non-sexters (71.5%), word-only sexters (14.5%), frequent sexters (8.5%), and hyper sexters (5.5%). We then compared these groups on …