The Association Between Time in Range %, Measured by Continuous Glucose Monitoring (CGM) and Physical Health Agility Status Indices Amongst Older People with T2D: A Cross-Sectional Study
Individuals with diabetes face a higher risk of mobility disabilities, frailty, and sarcopenia (physical health agility). Studies have shown an association between HbA1C levels and physical health agility status. There is less information available about the relationship with time in range (%) (TIR)...
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description | Individuals with diabetes face a higher risk of mobility disabilities, frailty, and sarcopenia (physical health agility). Studies have shown an association between HbA1C levels and physical health agility status. There is less information available about the relationship with time in range (%) (TIR). The aim of this study was to evaluate the cross-sectional relationship between time in range % (TIR %) and physical health agility status among older adults with type 2 diabetes (aerobic capacity, gait speed, strength, balance, and frailty).
A cross-sectional study was conducted among individuals with diabetes over the age of 60. Participants were equipped with a blinded continuous glucose monitor (CGM) system (Medtronic iPro™2 and CareLink™, Medtronic, Northridge, CA, USA)) for 1 week and underwent an elaborate physical functional assessment (physical health agility) at the beginning and end of that week. The relationship between various physical health agility indices and both TIR (%) and HbA1c was evaluated using linear regression, with adjustments made for age and sex.
This analysis pertains to 139 individuals over the age of 60 with type 2 diabetes. After adjustment for age and sex, a 1% higher TIR (70-180 mg/dL) was associated with a 0.169 better score on aerobic capacity and endurance (
-value = 0.023), 0.119 better score on muscle strength of the upper limb (
-value = 0.039), 0.164 better score on dynamic balance (
-value = 0.039), and 0.165 better score on the evaluation of fall risk and balance (
-value = 0.037).
In older individuals with diabetes, a higher percentage of time in range (TIR) is linked to better physical agility status indices. Future research is needed to determine whether glucose levels are simply a marker of disease severity or if there is a potential causal relationship. |
doi_str_mv | 10.3390/jcm13237089 |
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A cross-sectional study was conducted among individuals with diabetes over the age of 60. Participants were equipped with a blinded continuous glucose monitor (CGM) system (Medtronic iPro™2 and CareLink™, Medtronic, Northridge, CA, USA)) for 1 week and underwent an elaborate physical functional assessment (physical health agility) at the beginning and end of that week. The relationship between various physical health agility indices and both TIR (%) and HbA1c was evaluated using linear regression, with adjustments made for age and sex.
This analysis pertains to 139 individuals over the age of 60 with type 2 diabetes. After adjustment for age and sex, a 1% higher TIR (70-180 mg/dL) was associated with a 0.169 better score on aerobic capacity and endurance (
-value = 0.023), 0.119 better score on muscle strength of the upper limb (
-value = 0.039), 0.164 better score on dynamic balance (
-value = 0.039), and 0.165 better score on the evaluation of fall risk and balance (
-value = 0.037).
In older individuals with diabetes, a higher percentage of time in range (TIR) is linked to better physical agility status indices. Future research is needed to determine whether glucose levels are simply a marker of disease severity or if there is a potential causal relationship.</description><identifier>ISSN: 2077-0383</identifier><identifier>EISSN: 2077-0383</identifier><identifier>DOI: 10.3390/jcm13237089</identifier><identifier>PMID: 39685547</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Age ; Analysis ; Blood sugar monitoring ; Care and treatment ; Complications and side effects ; Cross-sectional studies ; Dextrose ; Diabetes ; Exercise ; Falls (Accidents) ; Frailty ; Gait ; Gerontology ; Glucose ; Glycosylated hemoglobin ; Health aspects ; Hospitalization ; Hyperglycemia ; Hypoglycemia ; Measurement ; Medical care ; Mortality ; Muscle strength ; Older people ; Patient monitoring equipment ; Physical fitness ; Prevention ; Risk factors ; Sarcopenia ; Sociodemographics ; Type 2 diabetes ; Utilization</subject><ispartof>Journal of clinical medicine, 2024-11, Vol.13 (23), p.7089</ispartof><rights>COPYRIGHT 2024 MDPI AG</rights><rights>2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2024 by the authors. 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c328t-af4252f73f92ce71b54305addbff05be91a799e4999f22ff07166fc27efced983</cites><orcidid>0009-0008-8977-792X ; 0000-0001-6857-333X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11642438/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11642438/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39685547$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Basson-Shleymovich, Yamit</creatorcontrib><creatorcontrib>Yahalom-Peri, Tal</creatorcontrib><creatorcontrib>Azmon, Michal</creatorcontrib><creatorcontrib>Cukierman-Yaffe, Tali</creatorcontrib><title>The Association Between Time in Range %, Measured by Continuous Glucose Monitoring (CGM) and Physical Health Agility Status Indices Amongst Older People with T2D: A Cross-Sectional Study</title><title>Journal of clinical medicine</title><addtitle>J Clin Med</addtitle><description>Individuals with diabetes face a higher risk of mobility disabilities, frailty, and sarcopenia (physical health agility). Studies have shown an association between HbA1C levels and physical health agility status. There is less information available about the relationship with time in range (%) (TIR). The aim of this study was to evaluate the cross-sectional relationship between time in range % (TIR %) and physical health agility status among older adults with type 2 diabetes (aerobic capacity, gait speed, strength, balance, and frailty).
A cross-sectional study was conducted among individuals with diabetes over the age of 60. Participants were equipped with a blinded continuous glucose monitor (CGM) system (Medtronic iPro™2 and CareLink™, Medtronic, Northridge, CA, USA)) for 1 week and underwent an elaborate physical functional assessment (physical health agility) at the beginning and end of that week. The relationship between various physical health agility indices and both TIR (%) and HbA1c was evaluated using linear regression, with adjustments made for age and sex.
This analysis pertains to 139 individuals over the age of 60 with type 2 diabetes. After adjustment for age and sex, a 1% higher TIR (70-180 mg/dL) was associated with a 0.169 better score on aerobic capacity and endurance (
-value = 0.023), 0.119 better score on muscle strength of the upper limb (
-value = 0.039), 0.164 better score on dynamic balance (
-value = 0.039), and 0.165 better score on the evaluation of fall risk and balance (
-value = 0.037).
In older individuals with diabetes, a higher percentage of time in range (TIR) is linked to better physical agility status indices. Future research is needed to determine whether glucose levels are simply a marker of disease severity or if there is a potential causal relationship.</description><subject>Age</subject><subject>Analysis</subject><subject>Blood sugar monitoring</subject><subject>Care and treatment</subject><subject>Complications and side effects</subject><subject>Cross-sectional studies</subject><subject>Dextrose</subject><subject>Diabetes</subject><subject>Exercise</subject><subject>Falls (Accidents)</subject><subject>Frailty</subject><subject>Gait</subject><subject>Gerontology</subject><subject>Glucose</subject><subject>Glycosylated hemoglobin</subject><subject>Health aspects</subject><subject>Hospitalization</subject><subject>Hyperglycemia</subject><subject>Hypoglycemia</subject><subject>Measurement</subject><subject>Medical care</subject><subject>Mortality</subject><subject>Muscle strength</subject><subject>Older people</subject><subject>Patient monitoring equipment</subject><subject>Physical fitness</subject><subject>Prevention</subject><subject>Risk factors</subject><subject>Sarcopenia</subject><subject>Sociodemographics</subject><subject>Type 2 diabetes</subject><subject>Utilization</subject><issn>2077-0383</issn><issn>2077-0383</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNptklFv0zAQxyMEYtPYE-_IEkIago7YTmqbFxQKdJNWbaLlOXKdc-rKsUvsMPWr8elwtzJ1CPvBp_Pv_7fvdFn2EufnlIr8w1p1mBLKci6eZMckZ2yUU06fHsRH2WkI6zwtzguC2fPsiIoxL8uCHWe_FytAVQheGRmNd-gzxFsAhxamA2Qc-i5dC-jNezQDGYYeGrTcool30bjBDwFN7aB8ADTzzkTfG9eis8l09hZJ16Cb1TYYJS26AGnjClWtsSZu0TzKmLSXrjEKAqo679oQ0bVtoEc34DcW0K1JggX58hFVaNL7EEZzULsvJrt5HJrti-yZljbA6f48yX58-7qYXIyurqeXk-pqpCjhcSR1QUqiGdWCKGB4WRY0L2XTLLXOyyUILJkQUAghNCEpx_B4rBVhoBU0gtOT7NO972ZYdtAocLGXtt70ppP9tvbS1I9vnFnVrf9VYzwuSEF3Dmd7h97_HCDEujNBgbXSQephTXExFphTRhP6-h907Yc-1XxHFZgzfme4p1ppoTZO-_Sw2pnWFcdClJiLPFHn_6HSbqAzyjvQJuUfCd7dC9Su3z3ohyJxXu_GrT4Yt0S_OuzLA_t3uOgfztXQPw</recordid><startdate>20241123</startdate><enddate>20241123</enddate><creator>Basson-Shleymovich, Yamit</creator><creator>Yahalom-Peri, Tal</creator><creator>Azmon, Michal</creator><creator>Cukierman-Yaffe, Tali</creator><general>MDPI AG</general><general>MDPI</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0009-0008-8977-792X</orcidid><orcidid>https://orcid.org/0000-0001-6857-333X</orcidid></search><sort><creationdate>20241123</creationdate><title>The Association Between Time in Range %, Measured by Continuous Glucose Monitoring (CGM) and Physical Health Agility Status Indices Amongst Older People with T2D: A Cross-Sectional Study</title><author>Basson-Shleymovich, Yamit ; Yahalom-Peri, Tal ; Azmon, Michal ; Cukierman-Yaffe, Tali</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c328t-af4252f73f92ce71b54305addbff05be91a799e4999f22ff07166fc27efced983</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Age</topic><topic>Analysis</topic><topic>Blood sugar monitoring</topic><topic>Care and treatment</topic><topic>Complications and side effects</topic><topic>Cross-sectional studies</topic><topic>Dextrose</topic><topic>Diabetes</topic><topic>Exercise</topic><topic>Falls (Accidents)</topic><topic>Frailty</topic><topic>Gait</topic><topic>Gerontology</topic><topic>Glucose</topic><topic>Glycosylated hemoglobin</topic><topic>Health aspects</topic><topic>Hospitalization</topic><topic>Hyperglycemia</topic><topic>Hypoglycemia</topic><topic>Measurement</topic><topic>Medical care</topic><topic>Mortality</topic><topic>Muscle strength</topic><topic>Older people</topic><topic>Patient monitoring equipment</topic><topic>Physical fitness</topic><topic>Prevention</topic><topic>Risk factors</topic><topic>Sarcopenia</topic><topic>Sociodemographics</topic><topic>Type 2 diabetes</topic><topic>Utilization</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Basson-Shleymovich, Yamit</creatorcontrib><creatorcontrib>Yahalom-Peri, Tal</creatorcontrib><creatorcontrib>Azmon, Michal</creatorcontrib><creatorcontrib>Cukierman-Yaffe, Tali</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection (Proquest)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of clinical medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Basson-Shleymovich, Yamit</au><au>Yahalom-Peri, Tal</au><au>Azmon, Michal</au><au>Cukierman-Yaffe, Tali</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Association Between Time in Range %, Measured by Continuous Glucose Monitoring (CGM) and Physical Health Agility Status Indices Amongst Older People with T2D: A Cross-Sectional Study</atitle><jtitle>Journal of clinical medicine</jtitle><addtitle>J Clin Med</addtitle><date>2024-11-23</date><risdate>2024</risdate><volume>13</volume><issue>23</issue><spage>7089</spage><pages>7089-</pages><issn>2077-0383</issn><eissn>2077-0383</eissn><abstract>Individuals with diabetes face a higher risk of mobility disabilities, frailty, and sarcopenia (physical health agility). Studies have shown an association between HbA1C levels and physical health agility status. There is less information available about the relationship with time in range (%) (TIR). The aim of this study was to evaluate the cross-sectional relationship between time in range % (TIR %) and physical health agility status among older adults with type 2 diabetes (aerobic capacity, gait speed, strength, balance, and frailty).
A cross-sectional study was conducted among individuals with diabetes over the age of 60. Participants were equipped with a blinded continuous glucose monitor (CGM) system (Medtronic iPro™2 and CareLink™, Medtronic, Northridge, CA, USA)) for 1 week and underwent an elaborate physical functional assessment (physical health agility) at the beginning and end of that week. The relationship between various physical health agility indices and both TIR (%) and HbA1c was evaluated using linear regression, with adjustments made for age and sex.
This analysis pertains to 139 individuals over the age of 60 with type 2 diabetes. After adjustment for age and sex, a 1% higher TIR (70-180 mg/dL) was associated with a 0.169 better score on aerobic capacity and endurance (
-value = 0.023), 0.119 better score on muscle strength of the upper limb (
-value = 0.039), 0.164 better score on dynamic balance (
-value = 0.039), and 0.165 better score on the evaluation of fall risk and balance (
-value = 0.037).
In older individuals with diabetes, a higher percentage of time in range (TIR) is linked to better physical agility status indices. Future research is needed to determine whether glucose levels are simply a marker of disease severity or if there is a potential causal relationship.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>39685547</pmid><doi>10.3390/jcm13237089</doi><orcidid>https://orcid.org/0009-0008-8977-792X</orcidid><orcidid>https://orcid.org/0000-0001-6857-333X</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Age Analysis Blood sugar monitoring Care and treatment Complications and side effects Cross-sectional studies Dextrose Diabetes Exercise Falls (Accidents) Frailty Gait Gerontology Glucose Glycosylated hemoglobin Health aspects Hospitalization Hyperglycemia Hypoglycemia Measurement Medical care Mortality Muscle strength Older people Patient monitoring equipment Physical fitness Prevention Risk factors Sarcopenia Sociodemographics Type 2 diabetes Utilization |
title | The Association Between Time in Range %, Measured by Continuous Glucose Monitoring (CGM) and Physical Health Agility Status Indices Amongst Older People with T2D: A Cross-Sectional Study |
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