{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T11:45:35Z","timestamp":1782992735087,"version":"3.54.5"},"reference-count":27,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"6","content-domain":{"domain":["www.ahajournals.org"],"crossmark-restriction":true},"short-container-title":["JAHA"],"published-print":{"date-parts":[[2026,3,17]]},"abstract":"<jats:sec xml:lang=\"en\">\n                    <jats:title>Background<\/jats:title>\n                    <jats:p xml:lang=\"en\">In\u2010person walking assessments are time consuming, limiting their clinical use. This study aimed to identify simple questions that best reflected the walking ability of patients with peripheral artery disease.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec xml:lang=\"en\">\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p xml:lang=\"en\">This was a post\u2010hoc analysis of responses for self\u2010reported mobility and fatigue\u2010based questions, and walking distance from the BIP (Behavioral Intervention by Allied Health Professionals to Promote Physical Activity) trial. Responses to questions that predicted minimum clinically important differences in walking distance (20\u2009m) were identified using generalized linear models. Random forest was used to train the identified questions using baseline data, which were\u00a0tested for their ability to estimate 6\u2010minute walking distances measured at 4, 12 and 24 months. Longitudinal associations between responses to questions and walking distance over 24 months were analyzed using linear mixed effects.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec xml:lang=\"en\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p xml:lang=\"en\">\n                      In 188 eligible participants, statistical\u00a0models suggested that different responses to the questions, \u201cDoes your health now limit you in climbing 1 flight of stairs?,\u201d \u201cDoes your health now limit you in walking 100\u2009m?,\u201d and \u201cDuring the past 4\u2009weeks, did you feel worn out?\u201d were predictive of significant differences in walking distance at all follow\u2010up time points (all\n                      <jats:italic toggle=\"no\">P<\/jats:italic>\n                      &lt;0.05). Linear mixed effects analysis showed that participants who reported \u201cno limitations in walking 100\u2009m\u201d had significantly greater change in walking distance (mean difference, 25.1\u2009m [95% CI, 11.1\u201339.1];\n                      <jats:italic toggle=\"no\">P<\/jats:italic>\n                      &lt;0.001) between baseline and all follow up time points, as compared with those who reported being \u201climited a lot\u201d.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec xml:lang=\"en\">\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p xml:lang=\"en\">Simple self\u2010report questions reflected walking ability of patients with peripheral artery disease and may be useful for remote assessment.<\/jats:p>\n                  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