{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,12]],"date-time":"2026-01-12T22:27:17Z","timestamp":1768256837398,"version":"3.49.0"},"reference-count":146,"publisher":"Human Kinetics","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,2,1]]},"abstract":"<jats:p>\n                    <jats:italic>\n                      <jats:bold>Background\/Objective<\/jats:bold>\n                      :\n                    <\/jats:italic>\n                    Fatigue is a common cardiovascular disease (CVD) symptom in older women; however, contributing factors are unclear. This study examined the association of background characteristics, social isolation, movement behaviors, and serum biomarkers with fatigue in older women with CVD.\n                    <jats:italic>\n                      <jats:bold>Methods<\/jats:bold>\n                      :\n                    <\/jats:italic>\n                    This cross-sectional study used baseline data from older women (\u226565\u00a0years,\n                    <jats:italic>N<\/jats:italic>\n                    \u2009=\u2009246) with CVD participating in the\n                    <jats:italic>MindMoves<\/jats:italic>\n                    trial. We examined background characteristics (age, race\/ethnicity, education, marital status, body mass index, pain, and comorbidities), social isolation, movement behaviors (sedentary behavior, light physical activity, moderate\u2013vigorous physical activity, daily step count, and cardiorespiratory fitness test), and serum biomarkers (brain-derived neurotrophic factor, vascular endothelial growth factor-A, and insulin-like growth factor-1). Fatigue was assessed using two items (\u201ccould not get going\u201d or \u201cfelt everything was an effort\u201d) from the Center for Epidemiologic Studies-Depression scale. Two-sample\n                    <jats:italic>t<\/jats:italic>\n                    tests examined differences in background characteristics across subgroups with fatigue versus without, and logistic regression examined whether social isolation, movement behaviors, and serum biomarkers were associated with fatigue.\n                    <jats:italic>\n                      <jats:bold>Results<\/jats:bold>\n                      :\n                    <\/jats:italic>\n                    Fatigue was present in 17% of participants. A unit increase in social isolation score was associated with greater odds of fatigue (adjusted odds ratio\u2009=\u20092.38; 95% confidence interval [1.41, 3.99]), while an increase in walking steps by 1,000 per day was associated with lower odds of fatigue (adjusted odds ratio\u2009=\u20090.74; 95% confidence interval [0.59, 0.93]) in the fully adjusted models. Other factors were not associated with fatigue.\n                    <jats:italic>\n                      <jats:bold>Conclusion<\/jats:bold>\n                      :\n                    <\/jats:italic>\n                    Prospective studies are needed to investigate fatigue-related factors in diverse patients with CVD.\n                    <jats:italic>\n                      <jats:bold>Significance\/Implication<\/jats:bold>\n                      :\n                    <\/jats:italic>\n                    Interventions involving walking and group exercise may mitigate fatigue in older women with CVD.\n                  <\/jats:p>","DOI":"10.1123\/japa.2024-0245","type":"journal-article","created":{"date-parts":[[2025,8,5]],"date-time":"2025-08-05T19:16:47Z","timestamp":1754421407000},"page":"72-81","source":"Crossref","is-referenced-by-count":0,"title":["Social Isolation and Daily Steps Are Associated With Fatigue in Older Women With Cardiovascular Disease: A Secondary Analysis of the MindMoves Trial"],"prefix":"10.1123","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3114-6745","authenticated-orcid":true,"given":"Shamatree","family":"Shakya","sequence":"first","affiliation":[{"name":"School of Nursing, University of North Carolina Wilmington, Wilmington, NC, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7809-9042","authenticated-orcid":true,"given":"Lisa","family":"Sharp","sequence":"additional","affiliation":[{"name":"Department of Biobehavioral Nursing Science, University of Illinois Chicago, Chicago, IL, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-1966-5218","authenticated-orcid":true,"given":"Nathan","family":"Tintle","sequence":"additional","affiliation":[{"name":"Department of Population, University of Illinois Chicago, Chicago, IL, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anne M.","family":"Fink","sequence":"additional","affiliation":[{"name":"Department of Biobehavioral Nursing Science, University of Illinois Chicago, Chicago, IL, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1000-8068","authenticated-orcid":true,"given":"Rosalba","family":"Hernandez","sequence":"additional","affiliation":[{"name":"Department of Population, University of Illinois Chicago, Chicago, IL, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7989-0525","authenticated-orcid":true,"given":"Shannon","family":"Halloway","sequence":"additional","affiliation":[{"name":"Department of Biobehavioral Nursing Science, University of Illinois Chicago, Chicago, IL, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"100","reference":[{"issue":"2","key":"r73","series-title":"BMJ Evidence-Based Medicine,","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1136\/bmjebm-2019-111264","article-title":"On reporting and interpreting statistical significance and p values in medical research","volume":"26","author":"Aguinis, H.","year":"2021","unstructured":"Aguinis, H., Vassar, M., & Wayant, C. 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