en <span style=font-size:11pt><span style=line-height:normal><span style=font-family:Calibri,sans-serif><b><span lang=EN-IN style=font-size:10.0pt><span style=font-family:Cambria,serif><span style=color:#4f81bd>Aims:</span></span></span></b> <span lang=EN-IN style=font-size:10.0pt><span style=font-family:Cambria,serif>In today’s technology-driven world, the general public increasingly relies on wearable devices and online platforms to monitor their health and access health-related information. This study explored how online health knowledge-seeking behavior and the use of wearable devices influence health decision-making behavior, with digital health literacy serving as a mediating factor.</span></span></span></span></span><br> <span style=font-size:11pt><span style=line-height:normal><span style=font-family:Calibri,sans-serif><b><span lang=EN-IN style=font-size:10.0pt><span style=font-family:Cambria,serif><span style=color:#4f81bd>Instrument & Methods:</span></span></span></b> <span lang=EN-IN style=font-size:10.0pt><span style=font-family:Cambria,serif>This correlational cross-sectional study collected 1,196 valid responses from the general public in Guntur city who actively use wearable devices and online platforms to seek health-related knowledge. Data analysis was carried out using Smart PLS, employing partial least squares structural equation modeling for path analysis and bootstrapping with 5,000 samples to assess mediation effects.</span></span></span></span></span><br> <span style=font-size:11pt><span style=line-height:normal><span style=font-family:Calibri,sans-serif><b><span lang=EN-IN style=font-size:10.0pt><span style=font-family:Cambria,serif><span style=color:#4f81bd>Findings:</span></span></span></b> <span lang=EN-IN style=font-size:10.0pt><span style=font-family:Cambria,serif>All structural model paths were statistically significant (p<0.05). Online health knowledge-seeking behavior and wearable device usage positively influenced health decision-making behavior both directly (β=0.296; β=0.254) and indirectly through digital health literacy (β=0.397; β=0.421). Digital health literacy had the strongest effect on decision-making behavior (β=0.431). Mediation analysis confirmed partial mediation, as direct effects remained significant alongside indirect effects.</span></span></span></span></span><br> <span style=font-size:11pt><span style=line-height:normal><span style=font-family:Calibri,sans-serif><b><span lang=EN-IN style=font-size:10.0pt><span style=font-family:Cambria,serif><span style=color:#4f81bd>Conclusion:</span></span></span></b> <span lang=EN-IN style=font-size:10.0pt><span style=font-family:Cambria,serif>Digital health literacy plays a central role in translating access to technology and online information into informed health decisions. </span></span></span></span></span><br> Decision-Making,Wearable Devices,eHealth,Health Knowledge, Attitudes, Practice,Health Literacy, 503 509 http://hehp.modares.ac.ir/browse.php?a_code=A-10-91333-1&slc_lang=en&sid=4