Telemedicine-Based Health Coaching Is Effective for Inducing Weight Loss and Improving Metabolic Markers
Background: To assess the efficacy of health coaching (HC) delivered through videoconferencing (VC) to favorably change physical activity (PA), weight, and metabolic markers in adults with high body mass index (BMI). Materials and Methods: Thirty adults (BMI ≥30 kg/m 2 ) were randomly assigned to on...
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Veröffentlicht in: | Telemedicine journal and e-health 2019-02, Vol.25 (2), p.85-92 |
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container_title | Telemedicine journal and e-health |
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creator | Johnson, Kelly E. Alencar, Michelle K. Coakley, Kathryn E. Swift, Damon L. Cole, Nathan H. Mermier, Christine M. Kravitz, Len Amorim, Fabiano T. Gibson, Ann L. |
description | Background:
To assess the efficacy of health coaching (HC) delivered through videoconferencing (VC) to favorably change physical activity (PA), weight, and metabolic markers in adults with high body mass index (BMI).
Materials and Methods:
Thirty adults (BMI ≥30 kg/m
2
) were randomly assigned to one of three groups: VC, in-person (IP), or control group (CG). Participants received wireless watches and weight scales to sync with their personal smartphones; recorded data were wirelessly uploaded to a secure database. Participants assigned to VC and IP received individualized HC by a multidisciplinary team (registered dietitian, exercise physiologist, and medical doctor) based on data uploaded over the 12-week intervention. Steps/day and weight loss were analyzed through analyses of covariance.
Results:
Within- and between-group changes in weight (kg), glucose, insulin, hemoglobin A1c (HbA1c), and Homeostasis Model Assessment estimate of insulin resistance (HOMA-IR) were analyzed through analyses of variance. Weight loss was greater (
p
< 0.05) for VC (8.23 ± 4.5 kg; 7.7%) than IP (3.2 ± 2.6 kg; 3.4%) and CG (2.9 ± 3.9 kg; 3.3%), respectively. Steps/day were significantly higher in VC than IP at week 4 and VC was significantly higher than the CG at weeks 6, 8, 9, and 11 (
p
≤ 0.05). No within- or between-group differences were found for glucose, insulin, or HbA1C. HOMA-IR decreased for VC only (
p
≤ 0.05).
Conclusions:
Our innovative, multidisciplinary, telemedicine HC delivered through VC led to more favorable changes in weight loss, PA (steps/day), and HOMA-IR than IP or no HC. VC may be an economical approach to improve health and promote behavior change in obese adults. Clinical Trial Registration Number:
ClinicalTrials.gov
identifier NCT03278951. |
doi_str_mv | 10.1089/tmj.2018.0002 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6384514</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2047924066</sourcerecordid><originalsourceid>FETCH-LOGICAL-c431t-c3fb7269a71e728d733454355d8bd82ae1dd8306c8563a616ea7342f957741bd3</originalsourceid><addsrcrecordid>eNqFkb9v1DAYhi0EakvpyIo8suTwbycLEpwKPekqliJGy7G_XFwS-7BzJ_W_b6IrFZ2YbPl99PqzH4TeU7KipG4-TeP9ihFarwgh7BW6oFKqiivVvF72nFRSMX2O3pZyPxOCanaGzllTC80Yu0D9HQwwgg8uRKi-2gIe34Adph6vk3V9iDu8Kfi668BN4Qi4Sxlvoj-4JfkFYddPeJtKwTZ6vBn3OR2X5BYm26YhOHxr82_I5R1609mhwNXTeol-fru-W99U2x_fN-sv28oJTqfK8a7VTDVWU9Cs9ppzIQWX0tetr5kF6n3NiXK1VNwqqsBqLljXSK0FbT2_RJ9PvftDO7_LQZyyHcw-h9HmB5NsMC-TGHqzS0ejeC0kFXPBx6eCnP4coExmDMXBMNgI6VAMI0I3TBClZrQ6oS7PP5Che76GErPYMbMds9gxi52Z__DvbM_0Xx0zwE_AcmxjHAK0kKf_1D4CpFqdGg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2047924066</pqid></control><display><type>article</type><title>Telemedicine-Based Health Coaching Is Effective for Inducing Weight Loss and Improving Metabolic Markers</title><source>MEDLINE</source><source>Alma/SFX Local Collection</source><creator>Johnson, Kelly E. ; Alencar, Michelle K. ; Coakley, Kathryn E. ; Swift, Damon L. ; Cole, Nathan H. ; Mermier, Christine M. ; Kravitz, Len ; Amorim, Fabiano T. ; Gibson, Ann L.</creator><creatorcontrib>Johnson, Kelly E. ; Alencar, Michelle K. ; Coakley, Kathryn E. ; Swift, Damon L. ; Cole, Nathan H. ; Mermier, Christine M. ; Kravitz, Len ; Amorim, Fabiano T. ; Gibson, Ann L.</creatorcontrib><description>Background:
To assess the efficacy of health coaching (HC) delivered through videoconferencing (VC) to favorably change physical activity (PA), weight, and metabolic markers in adults with high body mass index (BMI).
Materials and Methods:
Thirty adults (BMI ≥30 kg/m
2
) were randomly assigned to one of three groups: VC, in-person (IP), or control group (CG). Participants received wireless watches and weight scales to sync with their personal smartphones; recorded data were wirelessly uploaded to a secure database. Participants assigned to VC and IP received individualized HC by a multidisciplinary team (registered dietitian, exercise physiologist, and medical doctor) based on data uploaded over the 12-week intervention. Steps/day and weight loss were analyzed through analyses of covariance.
Results:
Within- and between-group changes in weight (kg), glucose, insulin, hemoglobin A1c (HbA1c), and Homeostasis Model Assessment estimate of insulin resistance (HOMA-IR) were analyzed through analyses of variance. Weight loss was greater (
p
< 0.05) for VC (8.23 ± 4.5 kg; 7.7%) than IP (3.2 ± 2.6 kg; 3.4%) and CG (2.9 ± 3.9 kg; 3.3%), respectively. Steps/day were significantly higher in VC than IP at week 4 and VC was significantly higher than the CG at weeks 6, 8, 9, and 11 (
p
≤ 0.05). No within- or between-group differences were found for glucose, insulin, or HbA1C. HOMA-IR decreased for VC only (
p
≤ 0.05).
Conclusions:
Our innovative, multidisciplinary, telemedicine HC delivered through VC led to more favorable changes in weight loss, PA (steps/day), and HOMA-IR than IP or no HC. VC may be an economical approach to improve health and promote behavior change in obese adults. Clinical Trial Registration Number:
ClinicalTrials.gov
identifier NCT03278951.</description><identifier>ISSN: 1530-5627</identifier><identifier>EISSN: 1556-3669</identifier><identifier>DOI: 10.1089/tmj.2018.0002</identifier><identifier>PMID: 29847222</identifier><language>eng</language><publisher>United States: Mary Ann Liebert, Inc., publishers</publisher><subject>Adult ; Blood Glucose ; Body Mass Index ; Body Weight ; Exercise ; Female ; Glycated Hemoglobin A ; Humans ; Insulin - blood ; Male ; Mentoring - organization & administration ; Middle Aged ; Obesity - therapy ; Original Research ; Patient Care Team ; Videoconferencing - organization & administration ; Wearable Electronic Devices ; Weight Reduction Programs - organization & administration</subject><ispartof>Telemedicine journal and e-health, 2019-02, Vol.25 (2), p.85-92</ispartof><rights>2019, Mary Ann Liebert, Inc., publishers</rights><rights>Copyright 2019, Mary Ann Liebert, Inc., publishers 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c431t-c3fb7269a71e728d733454355d8bd82ae1dd8306c8563a616ea7342f957741bd3</citedby><cites>FETCH-LOGICAL-c431t-c3fb7269a71e728d733454355d8bd82ae1dd8306c8563a616ea7342f957741bd3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,315,782,786,887,27931,27932</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29847222$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Johnson, Kelly E.</creatorcontrib><creatorcontrib>Alencar, Michelle K.</creatorcontrib><creatorcontrib>Coakley, Kathryn E.</creatorcontrib><creatorcontrib>Swift, Damon L.</creatorcontrib><creatorcontrib>Cole, Nathan H.</creatorcontrib><creatorcontrib>Mermier, Christine M.</creatorcontrib><creatorcontrib>Kravitz, Len</creatorcontrib><creatorcontrib>Amorim, Fabiano T.</creatorcontrib><creatorcontrib>Gibson, Ann L.</creatorcontrib><title>Telemedicine-Based Health Coaching Is Effective for Inducing Weight Loss and Improving Metabolic Markers</title><title>Telemedicine journal and e-health</title><addtitle>Telemed J E Health</addtitle><description>Background:
To assess the efficacy of health coaching (HC) delivered through videoconferencing (VC) to favorably change physical activity (PA), weight, and metabolic markers in adults with high body mass index (BMI).
Materials and Methods:
Thirty adults (BMI ≥30 kg/m
2
) were randomly assigned to one of three groups: VC, in-person (IP), or control group (CG). Participants received wireless watches and weight scales to sync with their personal smartphones; recorded data were wirelessly uploaded to a secure database. Participants assigned to VC and IP received individualized HC by a multidisciplinary team (registered dietitian, exercise physiologist, and medical doctor) based on data uploaded over the 12-week intervention. Steps/day and weight loss were analyzed through analyses of covariance.
Results:
Within- and between-group changes in weight (kg), glucose, insulin, hemoglobin A1c (HbA1c), and Homeostasis Model Assessment estimate of insulin resistance (HOMA-IR) were analyzed through analyses of variance. Weight loss was greater (
p
< 0.05) for VC (8.23 ± 4.5 kg; 7.7%) than IP (3.2 ± 2.6 kg; 3.4%) and CG (2.9 ± 3.9 kg; 3.3%), respectively. Steps/day were significantly higher in VC than IP at week 4 and VC was significantly higher than the CG at weeks 6, 8, 9, and 11 (
p
≤ 0.05). No within- or between-group differences were found for glucose, insulin, or HbA1C. HOMA-IR decreased for VC only (
p
≤ 0.05).
Conclusions:
Our innovative, multidisciplinary, telemedicine HC delivered through VC led to more favorable changes in weight loss, PA (steps/day), and HOMA-IR than IP or no HC. VC may be an economical approach to improve health and promote behavior change in obese adults. Clinical Trial Registration Number:
ClinicalTrials.gov
identifier NCT03278951.</description><subject>Adult</subject><subject>Blood Glucose</subject><subject>Body Mass Index</subject><subject>Body Weight</subject><subject>Exercise</subject><subject>Female</subject><subject>Glycated Hemoglobin A</subject><subject>Humans</subject><subject>Insulin - blood</subject><subject>Male</subject><subject>Mentoring - organization & administration</subject><subject>Middle Aged</subject><subject>Obesity - therapy</subject><subject>Original Research</subject><subject>Patient Care Team</subject><subject>Videoconferencing - organization & administration</subject><subject>Wearable Electronic Devices</subject><subject>Weight Reduction Programs - organization & administration</subject><issn>1530-5627</issn><issn>1556-3669</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkb9v1DAYhi0EakvpyIo8suTwbycLEpwKPekqliJGy7G_XFwS-7BzJ_W_b6IrFZ2YbPl99PqzH4TeU7KipG4-TeP9ihFarwgh7BW6oFKqiivVvF72nFRSMX2O3pZyPxOCanaGzllTC80Yu0D9HQwwgg8uRKi-2gIe34Adph6vk3V9iDu8Kfi668BN4Qi4Sxlvoj-4JfkFYddPeJtKwTZ6vBn3OR2X5BYm26YhOHxr82_I5R1609mhwNXTeol-fru-W99U2x_fN-sv28oJTqfK8a7VTDVWU9Cs9ppzIQWX0tetr5kF6n3NiXK1VNwqqsBqLljXSK0FbT2_RJ9PvftDO7_LQZyyHcw-h9HmB5NsMC-TGHqzS0ejeC0kFXPBx6eCnP4coExmDMXBMNgI6VAMI0I3TBClZrQ6oS7PP5Che76GErPYMbMds9gxi52Z__DvbM_0Xx0zwE_AcmxjHAK0kKf_1D4CpFqdGg</recordid><startdate>20190201</startdate><enddate>20190201</enddate><creator>Johnson, Kelly E.</creator><creator>Alencar, Michelle K.</creator><creator>Coakley, Kathryn E.</creator><creator>Swift, Damon L.</creator><creator>Cole, Nathan H.</creator><creator>Mermier, Christine M.</creator><creator>Kravitz, Len</creator><creator>Amorim, Fabiano T.</creator><creator>Gibson, Ann L.</creator><general>Mary Ann Liebert, Inc., publishers</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>7X8</scope><scope>5PM</scope></search><sort><creationdate>20190201</creationdate><title>Telemedicine-Based Health Coaching Is Effective for Inducing Weight Loss and Improving Metabolic Markers</title><author>Johnson, Kelly E. ; Alencar, Michelle K. ; Coakley, Kathryn E. ; Swift, Damon L. ; Cole, Nathan H. ; Mermier, Christine M. ; Kravitz, Len ; Amorim, Fabiano T. ; Gibson, Ann L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c431t-c3fb7269a71e728d733454355d8bd82ae1dd8306c8563a616ea7342f957741bd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adult</topic><topic>Blood Glucose</topic><topic>Body Mass Index</topic><topic>Body Weight</topic><topic>Exercise</topic><topic>Female</topic><topic>Glycated Hemoglobin A</topic><topic>Humans</topic><topic>Insulin - blood</topic><topic>Male</topic><topic>Mentoring - organization & administration</topic><topic>Middle Aged</topic><topic>Obesity - therapy</topic><topic>Original Research</topic><topic>Patient Care Team</topic><topic>Videoconferencing - organization & administration</topic><topic>Wearable Electronic Devices</topic><topic>Weight Reduction Programs - organization & administration</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Johnson, Kelly E.</creatorcontrib><creatorcontrib>Alencar, Michelle K.</creatorcontrib><creatorcontrib>Coakley, Kathryn E.</creatorcontrib><creatorcontrib>Swift, Damon L.</creatorcontrib><creatorcontrib>Cole, Nathan H.</creatorcontrib><creatorcontrib>Mermier, Christine M.</creatorcontrib><creatorcontrib>Kravitz, Len</creatorcontrib><creatorcontrib>Amorim, Fabiano T.</creatorcontrib><creatorcontrib>Gibson, Ann L.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Telemedicine journal and e-health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Johnson, Kelly E.</au><au>Alencar, Michelle K.</au><au>Coakley, Kathryn E.</au><au>Swift, Damon L.</au><au>Cole, Nathan H.</au><au>Mermier, Christine M.</au><au>Kravitz, Len</au><au>Amorim, Fabiano T.</au><au>Gibson, Ann L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Telemedicine-Based Health Coaching Is Effective for Inducing Weight Loss and Improving Metabolic Markers</atitle><jtitle>Telemedicine journal and e-health</jtitle><addtitle>Telemed J E Health</addtitle><date>2019-02-01</date><risdate>2019</risdate><volume>25</volume><issue>2</issue><spage>85</spage><epage>92</epage><pages>85-92</pages><issn>1530-5627</issn><eissn>1556-3669</eissn><abstract>Background:
To assess the efficacy of health coaching (HC) delivered through videoconferencing (VC) to favorably change physical activity (PA), weight, and metabolic markers in adults with high body mass index (BMI).
Materials and Methods:
Thirty adults (BMI ≥30 kg/m
2
) were randomly assigned to one of three groups: VC, in-person (IP), or control group (CG). Participants received wireless watches and weight scales to sync with their personal smartphones; recorded data were wirelessly uploaded to a secure database. Participants assigned to VC and IP received individualized HC by a multidisciplinary team (registered dietitian, exercise physiologist, and medical doctor) based on data uploaded over the 12-week intervention. Steps/day and weight loss were analyzed through analyses of covariance.
Results:
Within- and between-group changes in weight (kg), glucose, insulin, hemoglobin A1c (HbA1c), and Homeostasis Model Assessment estimate of insulin resistance (HOMA-IR) were analyzed through analyses of variance. Weight loss was greater (
p
< 0.05) for VC (8.23 ± 4.5 kg; 7.7%) than IP (3.2 ± 2.6 kg; 3.4%) and CG (2.9 ± 3.9 kg; 3.3%), respectively. Steps/day were significantly higher in VC than IP at week 4 and VC was significantly higher than the CG at weeks 6, 8, 9, and 11 (
p
≤ 0.05). No within- or between-group differences were found for glucose, insulin, or HbA1C. HOMA-IR decreased for VC only (
p
≤ 0.05).
Conclusions:
Our innovative, multidisciplinary, telemedicine HC delivered through VC led to more favorable changes in weight loss, PA (steps/day), and HOMA-IR than IP or no HC. VC may be an economical approach to improve health and promote behavior change in obese adults. Clinical Trial Registration Number:
ClinicalTrials.gov
identifier NCT03278951.</abstract><cop>United States</cop><pub>Mary Ann Liebert, Inc., publishers</pub><pmid>29847222</pmid><doi>10.1089/tmj.2018.0002</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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language | eng |
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source | MEDLINE; Alma/SFX Local Collection |
subjects | Adult Blood Glucose Body Mass Index Body Weight Exercise Female Glycated Hemoglobin A Humans Insulin - blood Male Mentoring - organization & administration Middle Aged Obesity - therapy Original Research Patient Care Team Videoconferencing - organization & administration Wearable Electronic Devices Weight Reduction Programs - organization & administration |
title | Telemedicine-Based Health Coaching Is Effective for Inducing Weight Loss and Improving Metabolic Markers |
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