{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,16]],"date-time":"2026-10-16T22:33:20Z","timestamp":1792190000413,"version":"4.4.0"},"reference-count":55,"publisher":"JMIR Publications Inc.","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JMIR Aging"],"abstract":"Abstract<\/jats:title>\n \n Background<\/jats:title>\n Walking is frequently recommended as a beneficial physical activity for older adults, as it can enhance both their physical and mental well-being and help prevent cognitive decline and dementia. While it is known that mobile health (mHealth) technology can help improve physical activity among older adults, there is limited research on its effectiveness for older individuals with cognitive impairment.<\/jats:p>\n <\/jats:sec>\n \n Objective<\/jats:title>\n This study aimed to determine the effectiveness and feasibility of walking prescriptions using mHealth technology for older adults with cognitive impairment.<\/jats:p>\n <\/jats:sec>\n \n Methods<\/jats:title>\n \n In total, 60 older adults (mean=76.1, SD 5.4) years; female, n=34) with mild cognitive impairment or mild dementia (n=28 and n=32, respectively; Mini-Mental State Examination [MMSE], mean=20.7, SD 4.0) who visited the memory clinic were enrolled. They were randomly assigned into three groups: (1) group A (n=20) was prescribed with a goal of daily steps based on their telemonitored activity using a smart band; (2) group B (n=19) only wore a smart band without a prescription; and (3) group C (n=21) took a monthly education to encourage their walking. All participants took monthly face-to-face sessions with a coach to check their performance and modify the goal of daily steps. Changes in daily steps (primary outcome), cognitive function, physical status, and depressive symptoms from baseline to post-intervention (12 weeks) and follow-up (24 weeks) were assessed by unblinded researchers. Linear mixed effect models with factors of group (reference: control), time (reference: baseline), and their interaction were used for data analysis. Post hoc analyses using paired\n t<\/jats:italic>\n tests were also conducted.\n <\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n \n For group A, there was a significant group \u00d7 time interaction effect on daily steps both at 12 and 24 weeks (\u03b2 (SE)=2205.88 (672.34),\n P<\/jats:italic>\n =.001; \u03b2 (SE)=2194.63 (884.33),\n P<\/jats:italic>\n =.015). Group B showed increased numbers of steps only at 12 weeks but not at 24 weeks. Group C showed a continuous decrease in daily steps during the study period. Regarding secondary outcomes, group C showed a significant decline in cognitive function measured by MMSE both at 12 and 24 weeks. However, groups A and B showed stationary MMSE scores during 24 weeks. The number of withdrawn participants did not differ among the 3 groups.\n <\/jats:p>\n <\/jats:sec>\n \n Conclusions<\/jats:title>\n Our findings suggest that walking prescriptions using mHealth technology can effectively increase daily steps in older adults with cognitive impairment.<\/jats:p>\n <\/jats:sec>","DOI":"10.2196\/63081","type":"journal-article","created":{"date-parts":[[2025,6,11]],"date-time":"2025-06-11T15:41:09Z","timestamp":1749656469000},"page":"e63081-e63081","source":"Crossref","is-referenced-by-count":7,"title":["Effectiveness of Walking Prescription Using Mobile Health Technology on the Changes in Daily Steps in Older Adults With Cognitive Impairment: Randomized Controlled Study"],"prefix":"10.2196","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3233-9271","authenticated-orcid":false,"given":"Hee Jung","family":"Kim","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5066-9728","authenticated-orcid":false,"given":"Yun Jung","family":"Hwang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6097-3275","authenticated-orcid":false,"given":"Jee Eun","family":"Park","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8976-8320","authenticated-orcid":false,"given":"Dong Young","family":"Lee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1010","published-online":{"date-parts":[[2025,6,11]]},"reference":[{"issue":"1","key":"R1","doi-asserted-by":"publisher","first-page":"119","DOI":"10.3233\/JAD-132225","article-title":"Modifiable lifestyle factors in dementia: a systematic review of longitudinal observational cohort studies","volume":"42","author":"Di Marco","journal-title":"J Alzheimers Dis"},{"issue":"3","key":"R2","doi-asserted-by":"publisher","first-page":"498","DOI":"10.1001\/archneur.58.3.498","article-title":"Physical activity and risk of cognitive impairment and dementia in elderly persons","volume":"58","author":"Laurin","journal-title":"Arch Neurol"},{"issue":"1","key":"R3","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1123\/japa.3.1.67","article-title":"Physical activity, aging, and psychological well-being","volume":"3","author":"McAuley","journal-title":"J Aging Phys Act"},{"issue":"10","key":"R4","doi-asserted-by":"publisher","first-page":"1023","DOI":"10.1080\/17425255.2017.1372424","article-title":"Cognitive frailty: a potential target for secondary prevention of dementia","volume":"13","author":"Panza","journal-title":"Expert Opin Drug Metab Toxicol"},{"issue":"1","key":"R5","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1016\/j.jamda.2016.10.012","article-title":"Reversible cognitive frailty, dementia, and all-cause mortality. 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