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Effect of walking on depression prevalence for diabetes using information communication technology: Prospective study
Aim This study aimed to evaluate the prevention of diabetic depression and its impact on medical costs through the implementation of a step count monitoring system using information and communication technology. Methods This study carried out a longitudinal analysis of a prospective cohort. A total...
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Published in: | Geriatrics & gerontology international 2019-11, Vol.19 (11), p.1147-1152 |
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container_title | Geriatrics & gerontology international |
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creator | Yamashita, Tomoko Yamashita, Kazuhiko Sato, Mitsuru Takase, Yoshimasa |
description | Aim
This study aimed to evaluate the prevention of diabetic depression and its impact on medical costs through the implementation of a step count monitoring system using information and communication technology.
Methods
This study carried out a longitudinal analysis of a prospective cohort. A total of 296 participants were enrolled in the intervention group and 882 participants in the control group. The participants in the intervention group were provided with pedometers, which each participant was asked to scan using devices stationed throughout the city. Activity data were stored in real time by a cloud system. The experiment lasted 30 months.
Results
None of the diabetes patients in the intervention group was diagnosed with depression during the study period, compared with 4.09% in the control group. Thus, the intervention suppressed the increase in medical costs for the people who did not develop depression in the diabetic group.
Conclusions
The prevalence rate of depression among the participants with diabetes was lowered significantly. The medical costs of the participants who did not have diabetes were also reduced by implementing the step count monitoring system with information and communication technology. This shows that the use of an information and communication technology pedometer system can have favorable effects in terms of preventing depression in diabetes patients and further benefits for non‐diabetic people. Geriatr Gerontol Int 2019; 19: 1147–1152. |
doi_str_mv | 10.1111/ggi.13787 |
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This study aimed to evaluate the prevention of diabetic depression and its impact on medical costs through the implementation of a step count monitoring system using information and communication technology.
Methods
This study carried out a longitudinal analysis of a prospective cohort. A total of 296 participants were enrolled in the intervention group and 882 participants in the control group. The participants in the intervention group were provided with pedometers, which each participant was asked to scan using devices stationed throughout the city. Activity data were stored in real time by a cloud system. The experiment lasted 30 months.
Results
None of the diabetes patients in the intervention group was diagnosed with depression during the study period, compared with 4.09% in the control group. Thus, the intervention suppressed the increase in medical costs for the people who did not develop depression in the diabetic group.
Conclusions
The prevalence rate of depression among the participants with diabetes was lowered significantly. The medical costs of the participants who did not have diabetes were also reduced by implementing the step count monitoring system with information and communication technology. This shows that the use of an information and communication technology pedometer system can have favorable effects in terms of preventing depression in diabetes patients and further benefits for non‐diabetic people. Geriatr Gerontol Int 2019; 19: 1147–1152.</description><identifier>ISSN: 1444-1586</identifier><identifier>EISSN: 1447-0594</identifier><identifier>DOI: 10.1111/ggi.13787</identifier><identifier>PMID: 31646729</identifier><language>eng</language><publisher>Kyoto, Japan: John Wiley & Sons Australia, Ltd</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Cloud Computing ; Cohort analysis ; Communication ; Depression - diagnosis ; Depression - epidemiology ; Depression - prevention & control ; Diabetes ; Diabetes Complications - diagnosis ; Diabetes Complications - epidemiology ; Diabetes Complications - prevention & control ; diabetic depression ; Humans ; Information technology ; Medical Informatics Applications ; Middle Aged ; monitoring system with information and communication technology ; Monitoring systems ; Monitoring, Ambulatory ; pedometers ; Prevalence ; prospective cohort study ; Prospective Studies ; Walking ; walking intervention</subject><ispartof>Geriatrics & gerontology international, 2019-11, Vol.19 (11), p.1147-1152</ispartof><rights>2019 Japan Geriatrics Society</rights><rights>2019 Japan Geriatrics Society.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4437-c14e2dacc54fc7b9d6596e0354a2ecabf78b8aaaa0ba9d6481ff12b2d3caf66c3</citedby><cites>FETCH-LOGICAL-c4437-c14e2dacc54fc7b9d6596e0354a2ecabf78b8aaaa0ba9d6481ff12b2d3caf66c3</cites><orcidid>0000-0003-4914-0306</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31646729$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Yamashita, Tomoko</creatorcontrib><creatorcontrib>Yamashita, Kazuhiko</creatorcontrib><creatorcontrib>Sato, Mitsuru</creatorcontrib><creatorcontrib>Takase, Yoshimasa</creatorcontrib><title>Effect of walking on depression prevalence for diabetes using information communication technology: Prospective study</title><title>Geriatrics & gerontology international</title><addtitle>Geriatr Gerontol Int</addtitle><description>Aim
This study aimed to evaluate the prevention of diabetic depression and its impact on medical costs through the implementation of a step count monitoring system using information and communication technology.
Methods
This study carried out a longitudinal analysis of a prospective cohort. A total of 296 participants were enrolled in the intervention group and 882 participants in the control group. The participants in the intervention group were provided with pedometers, which each participant was asked to scan using devices stationed throughout the city. Activity data were stored in real time by a cloud system. The experiment lasted 30 months.
Results
None of the diabetes patients in the intervention group was diagnosed with depression during the study period, compared with 4.09% in the control group. Thus, the intervention suppressed the increase in medical costs for the people who did not develop depression in the diabetic group.
Conclusions
The prevalence rate of depression among the participants with diabetes was lowered significantly. The medical costs of the participants who did not have diabetes were also reduced by implementing the step count monitoring system with information and communication technology. This shows that the use of an information and communication technology pedometer system can have favorable effects in terms of preventing depression in diabetes patients and further benefits for non‐diabetic people. Geriatr Gerontol Int 2019; 19: 1147–1152.</description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Cloud Computing</subject><subject>Cohort analysis</subject><subject>Communication</subject><subject>Depression - diagnosis</subject><subject>Depression - epidemiology</subject><subject>Depression - prevention & control</subject><subject>Diabetes</subject><subject>Diabetes Complications - diagnosis</subject><subject>Diabetes Complications - epidemiology</subject><subject>Diabetes Complications - prevention & control</subject><subject>diabetic depression</subject><subject>Humans</subject><subject>Information technology</subject><subject>Medical Informatics Applications</subject><subject>Middle Aged</subject><subject>monitoring system with information and communication technology</subject><subject>Monitoring systems</subject><subject>Monitoring, Ambulatory</subject><subject>pedometers</subject><subject>Prevalence</subject><subject>prospective cohort study</subject><subject>Prospective Studies</subject><subject>Walking</subject><subject>walking intervention</subject><issn>1444-1586</issn><issn>1447-0594</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp1kcFPwyAUxonRuDk9-A8YEi966AYtLa03s8y5ZIke9NxQ-pjMtszSbul_L1unBxPfhQ_45eM9PoSuKRlTV5PVSo9pwGN-goaUMe6RMGGnB808GsbRAF1YuyaE8oTSczQIaMQi7idD1M6UAtlgo_BOFJ-6WmFT4Rw2NVirnXRiKwqoJGBlapxrkUEDFrd2z-rKHZai2ZPSlGVbadnvGpAflSnMqnvAr7WxG_eK3gK2TZt3l-hMicLC1XEdofen2dv02Vu-zBfTx6UnGQu4JykDPxdShkxJniV5FCYRkCBkwgcpMsXjLBauSCbcJYupUtTP_DyQQkWRDEborvfd1OarBdukpbYSikJUYFqb-gGJQ59wRh16-wddm7auXHeOomES8CiJHXXfU9KNZGtQ6abWpai7lJJ0n0XqskgPWTj25ujYZiXkv-TP5ztg0gM7XUD3v1M6ny96y2_dipZe</recordid><startdate>201911</startdate><enddate>201911</enddate><creator>Yamashita, Tomoko</creator><creator>Yamashita, Kazuhiko</creator><creator>Sato, Mitsuru</creator><creator>Takase, Yoshimasa</creator><general>John Wiley & Sons Australia, Ltd</general><general>Blackwell Publishing Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>K9.</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-4914-0306</orcidid></search><sort><creationdate>201911</creationdate><title>Effect of walking on depression prevalence for diabetes using information communication technology: Prospective study</title><author>Yamashita, Tomoko ; Yamashita, Kazuhiko ; Sato, Mitsuru ; Takase, Yoshimasa</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4437-c14e2dacc54fc7b9d6596e0354a2ecabf78b8aaaa0ba9d6481ff12b2d3caf66c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Cloud Computing</topic><topic>Cohort analysis</topic><topic>Communication</topic><topic>Depression - diagnosis</topic><topic>Depression - epidemiology</topic><topic>Depression - prevention & control</topic><topic>Diabetes</topic><topic>Diabetes Complications - diagnosis</topic><topic>Diabetes Complications - epidemiology</topic><topic>Diabetes Complications - prevention & control</topic><topic>diabetic depression</topic><topic>Humans</topic><topic>Information technology</topic><topic>Medical Informatics Applications</topic><topic>Middle Aged</topic><topic>monitoring system with information and communication technology</topic><topic>Monitoring systems</topic><topic>Monitoring, Ambulatory</topic><topic>pedometers</topic><topic>Prevalence</topic><topic>prospective cohort study</topic><topic>Prospective Studies</topic><topic>Walking</topic><topic>walking intervention</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yamashita, Tomoko</creatorcontrib><creatorcontrib>Yamashita, Kazuhiko</creatorcontrib><creatorcontrib>Sato, Mitsuru</creatorcontrib><creatorcontrib>Takase, Yoshimasa</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><jtitle>Geriatrics & gerontology international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yamashita, Tomoko</au><au>Yamashita, Kazuhiko</au><au>Sato, Mitsuru</au><au>Takase, Yoshimasa</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Effect of walking on depression prevalence for diabetes using information communication technology: Prospective study</atitle><jtitle>Geriatrics & gerontology international</jtitle><addtitle>Geriatr Gerontol Int</addtitle><date>2019-11</date><risdate>2019</risdate><volume>19</volume><issue>11</issue><spage>1147</spage><epage>1152</epage><pages>1147-1152</pages><issn>1444-1586</issn><eissn>1447-0594</eissn><abstract>Aim
This study aimed to evaluate the prevention of diabetic depression and its impact on medical costs through the implementation of a step count monitoring system using information and communication technology.
Methods
This study carried out a longitudinal analysis of a prospective cohort. A total of 296 participants were enrolled in the intervention group and 882 participants in the control group. The participants in the intervention group were provided with pedometers, which each participant was asked to scan using devices stationed throughout the city. Activity data were stored in real time by a cloud system. The experiment lasted 30 months.
Results
None of the diabetes patients in the intervention group was diagnosed with depression during the study period, compared with 4.09% in the control group. Thus, the intervention suppressed the increase in medical costs for the people who did not develop depression in the diabetic group.
Conclusions
The prevalence rate of depression among the participants with diabetes was lowered significantly. The medical costs of the participants who did not have diabetes were also reduced by implementing the step count monitoring system with information and communication technology. This shows that the use of an information and communication technology pedometer system can have favorable effects in terms of preventing depression in diabetes patients and further benefits for non‐diabetic people. Geriatr Gerontol Int 2019; 19: 1147–1152.</abstract><cop>Kyoto, Japan</cop><pub>John Wiley & Sons Australia, Ltd</pub><pmid>31646729</pmid><doi>10.1111/ggi.13787</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0003-4914-0306</orcidid></addata></record> |
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subjects | Adult Aged Aged, 80 and over Cloud Computing Cohort analysis Communication Depression - diagnosis Depression - epidemiology Depression - prevention & control Diabetes Diabetes Complications - diagnosis Diabetes Complications - epidemiology Diabetes Complications - prevention & control diabetic depression Humans Information technology Medical Informatics Applications Middle Aged monitoring system with information and communication technology Monitoring systems Monitoring, Ambulatory pedometers Prevalence prospective cohort study Prospective Studies Walking walking intervention |
title | Effect of walking on depression prevalence for diabetes using information communication technology: Prospective study |
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