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Sex differences were examined. Undergraduates aged 18\u201325 (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u2009103;\n                      <jats:italic>M<\/jats:italic>\n                      age\u2009=\u200921\u2009years, SD\u2009=\u20092.0; 52% women; 80.6% heterosexual; 64.1% white; 93.2% non\u2010Hispanic) recruited from a large Mid\u2010Atlantic university in the United States completed a baseline survey then a 30\u2010day EMA wherein they were prompted to complete one morning and three evening surveys (7\u00a0PM, 9\u00a0PM, 11\u2009PM) daily. After each evening survey, participants were prompted to submit a breath alcohol content (BrAC) sample to a breathalyzer linked to surveys. Participants could self\u2010initiate surveys after drinking or IPV outside of assessment periods. Afterward, participants completed an exit survey.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Measurements<\/jats:title>\n                    <jats:p>Outcome variables were self\u2010reported alcohol use and IPV assessed via EMA surveys, and BrAC assessed via breathalyzer. Self\u2010reported procedural acceptability was assessed in the exit survey. Reactivity to assessment was assessed by analyzing daily trends in IPV and drinking by sex using generalized linear mixed effects models.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Findings<\/jats:title>\n                    <jats:p>\n                      Participants completed 80% of surveys and responded to 91% of breathalyzer prompts. BrAC was captured in 89.4% of self\u2010reported drinking events, 91.4% of self\u2010reported non\u2010drinking events and 95.8% of IPV events, with greater responsiveness to breathalyzer prompts as the evening progressed despite increasing intoxication. More IPV events were captured during evening and event triggered (358 combined total events) than morning surveys (245 events). Results were comparable across women and men. Each additional study day was associated with modest declines in odds of experiencing any IPV [odds ratio (OR)\u2009=\u20090.95, 95% confidence interval (CI) = 0.94\u20130.97,\n                      <jats:italic>P<\/jats:italic>\n                      \u2009&lt;\u20090.001], IPV perpetration (OR\u2009=\u20090.94, 95% CI = 0.92\u20130.96,\n                      <jats:italic>P<\/jats:italic>\n                      \u2009&lt;\u20090.001), IPV victimization (OR\u2009=\u20090.97, 95% CI = 0.96\u20130.99,\n                      <jats:italic>P<\/jats:italic>\n                      \u2009=\u20090.004), any drinking (OR\u2009=\u20090.99, 95% CI = 0.98\u20131.00,\n                      <jats:italic>P<\/jats:italic>\n                      \u2009=\u20090.01) and positive BrAC readings (OR\u2009=\u20090.99, 95% CI = 0.98\u20131.00,\n                      <jats:italic>P<\/jats:italic>\n                      \u2009=\u20090.052), suggesting minimal reactivity to assessment. Participants reported high overall satisfaction with study components.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Pairing ecological momentary assessment with portable breathalyzers to capture data on drinking and intimate partner violence across 30\u2009days among US undergraduates who were previously aggressive and who drink heavily appears to be both feasible and acceptable.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/add.70357","type":"journal-article","created":{"date-parts":[[2026,2,23]],"date-time":"2026-02-23T08:00:52Z","timestamp":1771833652000},"page":"1458-1473","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["The feasibility of integrating remote breath alcohol monitoring into ecological momentary assessment of intimate partner violence among young adults with a history of heavy drinking and aggression"],"prefix":"10.1111","volume":"121","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9036-1277","authenticated-orcid":false,"given":"Meagan J.","family":"Brem","sequence":"first","affiliation":[{"name":"Department of Psychology Virginia Tech  Blacksburg VA USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5799-8057","authenticated-orcid":false,"given":"Denis M.","family":"McCarthy","sequence":"additional","affiliation":[{"name":"Department of Psychological Sciences University of Missouri  Columbia MO USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0927-3959","authenticated-orcid":false,"given":"Ryan C.","family":"Shorey","sequence":"additional","affiliation":[{"name":"Department of Psychological and Brain Sciences University of Wisconsin\u2013Milwaukee  Milwaukee WI USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Muyao","family":"Lin","sequence":"additional","affiliation":[{"name":"Department of Psychology Virginia Tech  Blacksburg VA USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alicia J.","family":"Lozano","sequence":"additional","affiliation":[{"name":"Center for Biostatistics and Health Data Science, Department of Statistics Virginia Tech  Blackburg VA USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Emily","family":"Sjafii","sequence":"additional","affiliation":[{"name":"Department of Psychology Virginia Tech  Blacksburg VA USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Allison","family":"Tobar\u2010Santamaria","sequence":"additional","affiliation":[{"name":"Department of Psychology Virginia Tech  Blacksburg VA 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