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
Hauptverfasser: 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.
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container_end_page 92
container_issue 2
container_start_page 85
container_title Telemedicine journal and e-health
container_volume 25
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
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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 &lt; 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. 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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 &lt; 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 &amp; administration</subject><subject>Middle Aged</subject><subject>Obesity - therapy</subject><subject>Original Research</subject><subject>Patient Care Team</subject><subject>Videoconferencing - organization &amp; administration</subject><subject>Wearable Electronic Devices</subject><subject>Weight Reduction Programs - organization &amp; 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 &amp; administration</topic><topic>Middle Aged</topic><topic>Obesity - therapy</topic><topic>Original Research</topic><topic>Patient Care Team</topic><topic>Videoconferencing - organization &amp; administration</topic><topic>Wearable Electronic Devices</topic><topic>Weight Reduction Programs - organization &amp; 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 &lt; 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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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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