1073-P: Accelerometer-Derived Movement Patterns in Older People with Diabetes and Varying Functional Status

Introduction: Type 2 Diabetes (T2D) is associated with reduced muscle mass, strength and function leading to frailty and disability. Little is known regarding the continuous movement patterns and glucose fluctuation in these functional states. Aims: To identify differences in movement patterns and g...

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Veröffentlicht in:Diabetes (New York, N.Y.) N.Y.), 2022-06, Vol.71 (Supplement_1)
Hauptverfasser: YAHALOM-PERI, TAL, KODESH, EINAT, BASSON-SHLEYMOVICH, YAMIT, AZMON, MICHAL, BOGINA, VERONIKA, KUFLIK, TSVI, CUKIERMAN-YAFFE, TALI
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container_issue Supplement_1
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container_title Diabetes (New York, N.Y.)
container_volume 71
creator YAHALOM-PERI, TAL
KODESH, EINAT
BASSON-SHLEYMOVICH, YAMIT
AZMON, MICHAL
BOGINA, VERONIKA
KUFLIK, TSVI
CUKIERMAN-YAFFE, TALI
description Introduction: Type 2 Diabetes (T2D) is associated with reduced muscle mass, strength and function leading to frailty and disability. Little is known regarding the continuous movement patterns and glucose fluctuation in these functional states. Aims: To identify differences in movement patterns and glucose levels in elderly people with diabetes with ranging functional status. Methods: We conducted a cross sectional study, amongst people with diabetes over the age of 60. Participants were provided with a blinded Continuous Glucose Monitoring (CGM) system (iPro™ professional CGM, Medtronic) and an activity monitoring device (ActiGraph® GT9X) for 1 week. In order to evaluate their physical functionality, participants underwent elaborate physical-function (PF) tests which were conducted in the beginning and at the end of the week. Participants (n=103) were classified into 3 groups: Low PF (LPF; n=20) , reduced PF (RPF; n=37) and normal PF (NPF; n=46) by using the Fried frailty scale; aerobic, strength and balance score. Movement and glucose indices differences between the groups were determined using Kruskal-Wallis and Dunn post-hoc statistical tests. Results: LPF group had lower average X (Medio-lateral - side to side) and Y (Vertical - up down) axes movements and higher variability expressed by root mean square of the X, Y, Z (Antero-posterior - forwards backwards) axes. In addition, LPF group spent less time performing moderate to vigorous physical activity and had fewer daily steps compared to RPF and NPF groups. CGM data revealed that the LPF group had higher mean glucose levels and they spent less time in target glucose range (70-180 mg/dl) and more time above range (>180 mg/dl) compared to the other groups. All findings were statistically significant (p
doi_str_mv 10.2337/db22-1073-P
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Little is known regarding the continuous movement patterns and glucose fluctuation in these functional states. Aims: To identify differences in movement patterns and glucose levels in elderly people with diabetes with ranging functional status. Methods: We conducted a cross sectional study, amongst people with diabetes over the age of 60. Participants were provided with a blinded Continuous Glucose Monitoring (CGM) system (iPro™ professional CGM, Medtronic) and an activity monitoring device (ActiGraph® GT9X) for 1 week. In order to evaluate their physical functionality, participants underwent elaborate physical-function (PF) tests which were conducted in the beginning and at the end of the week. Participants (n=103) were classified into 3 groups: Low PF (LPF; n=20) , reduced PF (RPF; n=37) and normal PF (NPF; n=46) by using the Fried frailty scale; aerobic, strength and balance score. Movement and glucose indices differences between the groups were determined using Kruskal-Wallis and Dunn post-hoc statistical tests. Results: LPF group had lower average X (Medio-lateral - side to side) and Y (Vertical - up down) axes movements and higher variability expressed by root mean square of the X, Y, Z (Antero-posterior - forwards backwards) axes. In addition, LPF group spent less time performing moderate to vigorous physical activity and had fewer daily steps compared to RPF and NPF groups. CGM data revealed that the LPF group had higher mean glucose levels and they spent less time in target glucose range (70-180 mg/dl) and more time above range (&gt;180 mg/dl) compared to the other groups. All findings were statistically significant (p&lt;0.05) . Conclusion: In this study of older people with diabetes, participants in the LPF group demonstrated lower stability, lower activity levels and higher glucose rates compared to those in the NPF group.</description><identifier>ISSN: 0012-1797</identifier><identifier>EISSN: 1939-327X</identifier><identifier>DOI: 10.2337/db22-1073-P</identifier><language>eng</language><publisher>New York: American Diabetes Association</publisher><subject>Diabetes ; Diabetes mellitus (non-insulin dependent) ; Frailty ; Glucose ; Glucose monitoring ; Older people ; Physical activity ; Statistical analysis</subject><ispartof>Diabetes (New York, N.Y.), 2022-06, Vol.71 (Supplement_1)</ispartof><rights>Copyright American Diabetes Association Jun 2022</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>YAHALOM-PERI, TAL</creatorcontrib><creatorcontrib>KODESH, EINAT</creatorcontrib><creatorcontrib>BASSON-SHLEYMOVICH, YAMIT</creatorcontrib><creatorcontrib>AZMON, MICHAL</creatorcontrib><creatorcontrib>BOGINA, VERONIKA</creatorcontrib><creatorcontrib>KUFLIK, TSVI</creatorcontrib><creatorcontrib>CUKIERMAN-YAFFE, TALI</creatorcontrib><title>1073-P: Accelerometer-Derived Movement Patterns in Older People with Diabetes and Varying Functional Status</title><title>Diabetes (New York, N.Y.)</title><description>Introduction: Type 2 Diabetes (T2D) is associated with reduced muscle mass, strength and function leading to frailty and disability. Little is known regarding the continuous movement patterns and glucose fluctuation in these functional states. Aims: To identify differences in movement patterns and glucose levels in elderly people with diabetes with ranging functional status. Methods: We conducted a cross sectional study, amongst people with diabetes over the age of 60. Participants were provided with a blinded Continuous Glucose Monitoring (CGM) system (iPro™ professional CGM, Medtronic) and an activity monitoring device (ActiGraph® GT9X) for 1 week. In order to evaluate their physical functionality, participants underwent elaborate physical-function (PF) tests which were conducted in the beginning and at the end of the week. Participants (n=103) were classified into 3 groups: Low PF (LPF; n=20) , reduced PF (RPF; n=37) and normal PF (NPF; n=46) by using the Fried frailty scale; aerobic, strength and balance score. Movement and glucose indices differences between the groups were determined using Kruskal-Wallis and Dunn post-hoc statistical tests. Results: LPF group had lower average X (Medio-lateral - side to side) and Y (Vertical - up down) axes movements and higher variability expressed by root mean square of the X, Y, Z (Antero-posterior - forwards backwards) axes. In addition, LPF group spent less time performing moderate to vigorous physical activity and had fewer daily steps compared to RPF and NPF groups. CGM data revealed that the LPF group had higher mean glucose levels and they spent less time in target glucose range (70-180 mg/dl) and more time above range (&gt;180 mg/dl) compared to the other groups. All findings were statistically significant (p&lt;0.05) . Conclusion: In this study of older people with diabetes, participants in the LPF group demonstrated lower stability, lower activity levels and higher glucose rates compared to those in the NPF group.</description><subject>Diabetes</subject><subject>Diabetes mellitus (non-insulin dependent)</subject><subject>Frailty</subject><subject>Glucose</subject><subject>Glucose monitoring</subject><subject>Older people</subject><subject>Physical activity</subject><subject>Statistical analysis</subject><issn>0012-1797</issn><issn>1939-327X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNotkE1LAzEQhoMoWKsn_0DAo6zmYzfbeCvVqlDpgkW8hWwy0a3bTU2yFf-9WypzGJh5Znh5ELqk5IZxXt7amrGMkpJn1REaUcllxln5foxGhNBhU8ryFJ3FuCaEiKFG6OtA3-GpMdBC8BtIELJ7CM0OLH7xO9hAl3Cl0zDvIm46vGwtBFyB37aAf5r0ie8bXQ93EevO4jcdfpvuA8_7zqTGd7rFr0mnPp6jE6fbCBf_fYxW84fV7ClbLB-fZ9NFZkSeZzmTjlFZm0KI2lIhaCEY1HmR18YIBzU3VuuJAcMM0Y6wnAnrrDSSagfg-BhdHd5ug__uISa19n0YYkTFxKQoJrKg-UBdHygTfIwBnNqGZjNEV5SovUy1l6n2elTF_wCJGmhU</recordid><startdate>20220601</startdate><enddate>20220601</enddate><creator>YAHALOM-PERI, TAL</creator><creator>KODESH, EINAT</creator><creator>BASSON-SHLEYMOVICH, YAMIT</creator><creator>AZMON, MICHAL</creator><creator>BOGINA, VERONIKA</creator><creator>KUFLIK, TSVI</creator><creator>CUKIERMAN-YAFFE, TALI</creator><general>American Diabetes Association</general><scope>AAYXX</scope><scope>CITATION</scope><scope>K9.</scope><scope>NAPCQ</scope></search><sort><creationdate>20220601</creationdate><title>1073-P: Accelerometer-Derived Movement Patterns in Older People with Diabetes and Varying Functional Status</title><author>YAHALOM-PERI, TAL ; KODESH, EINAT ; BASSON-SHLEYMOVICH, YAMIT ; AZMON, MICHAL ; BOGINA, VERONIKA ; KUFLIK, TSVI ; CUKIERMAN-YAFFE, TALI</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c644-429f219bc566bd1661562eb454bcc6feb3cdaa8cec2c0af02426dfd9c91afeef3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Diabetes</topic><topic>Diabetes mellitus (non-insulin dependent)</topic><topic>Frailty</topic><topic>Glucose</topic><topic>Glucose monitoring</topic><topic>Older people</topic><topic>Physical activity</topic><topic>Statistical analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>YAHALOM-PERI, TAL</creatorcontrib><creatorcontrib>KODESH, EINAT</creatorcontrib><creatorcontrib>BASSON-SHLEYMOVICH, YAMIT</creatorcontrib><creatorcontrib>AZMON, MICHAL</creatorcontrib><creatorcontrib>BOGINA, VERONIKA</creatorcontrib><creatorcontrib>KUFLIK, TSVI</creatorcontrib><creatorcontrib>CUKIERMAN-YAFFE, TALI</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Premium</collection><jtitle>Diabetes (New York, N.Y.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>YAHALOM-PERI, TAL</au><au>KODESH, EINAT</au><au>BASSON-SHLEYMOVICH, YAMIT</au><au>AZMON, MICHAL</au><au>BOGINA, VERONIKA</au><au>KUFLIK, TSVI</au><au>CUKIERMAN-YAFFE, TALI</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>1073-P: Accelerometer-Derived Movement Patterns in Older People with Diabetes and Varying Functional Status</atitle><jtitle>Diabetes (New York, N.Y.)</jtitle><date>2022-06-01</date><risdate>2022</risdate><volume>71</volume><issue>Supplement_1</issue><issn>0012-1797</issn><eissn>1939-327X</eissn><abstract>Introduction: Type 2 Diabetes (T2D) is associated with reduced muscle mass, strength and function leading to frailty and disability. Little is known regarding the continuous movement patterns and glucose fluctuation in these functional states. Aims: To identify differences in movement patterns and glucose levels in elderly people with diabetes with ranging functional status. Methods: We conducted a cross sectional study, amongst people with diabetes over the age of 60. Participants were provided with a blinded Continuous Glucose Monitoring (CGM) system (iPro™ professional CGM, Medtronic) and an activity monitoring device (ActiGraph® GT9X) for 1 week. In order to evaluate their physical functionality, participants underwent elaborate physical-function (PF) tests which were conducted in the beginning and at the end of the week. Participants (n=103) were classified into 3 groups: Low PF (LPF; n=20) , reduced PF (RPF; n=37) and normal PF (NPF; n=46) by using the Fried frailty scale; aerobic, strength and balance score. Movement and glucose indices differences between the groups were determined using Kruskal-Wallis and Dunn post-hoc statistical tests. Results: LPF group had lower average X (Medio-lateral - side to side) and Y (Vertical - up down) axes movements and higher variability expressed by root mean square of the X, Y, Z (Antero-posterior - forwards backwards) axes. In addition, LPF group spent less time performing moderate to vigorous physical activity and had fewer daily steps compared to RPF and NPF groups. CGM data revealed that the LPF group had higher mean glucose levels and they spent less time in target glucose range (70-180 mg/dl) and more time above range (&gt;180 mg/dl) compared to the other groups. All findings were statistically significant (p&lt;0.05) . Conclusion: In this study of older people with diabetes, participants in the LPF group demonstrated lower stability, lower activity levels and higher glucose rates compared to those in the NPF group.</abstract><cop>New York</cop><pub>American Diabetes Association</pub><doi>10.2337/db22-1073-P</doi></addata></record>
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subjects Diabetes
Diabetes mellitus (non-insulin dependent)
Frailty
Glucose
Glucose monitoring
Older people
Physical activity
Statistical analysis
title 1073-P: Accelerometer-Derived Movement Patterns in Older People with Diabetes and Varying Functional Status
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