Reduction of Diabetes and Cardiovascular Risk in a Workforce after Digital Behavioral Counseling
Background: We asked whether the integration of digital behavioral counseling with employer-sponsored annual biometric screening could reduce the risk of obesity-related chronic disease in a U.S. workforce. Methods: We evaluated a cohort (n=113) who participated in an employer-sponsored annual welln...
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Veröffentlicht in: | Diabetes (New York, N.Y.) N.Y.), 2018-07, Vol.67 (Supplement_1) |
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container_title | Diabetes (New York, N.Y.) |
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creator | BIRSE, CHARLES E. LAGIER, ROBERT J. CHEW, PAUL JASIK, CAROLYN B. MADERO, ERICA N. |
description | Background: We asked whether the integration of digital behavioral counseling with employer-sponsored annual biometric screening could reduce the risk of obesity-related chronic disease in a U.S. workforce.
Methods: We evaluated a cohort (n=113) who participated in an employer-sponsored annual wellness program with year-end biometric screening and enrolled in a digital behavioral counseling program. Individuals were included in the analysis if they participated in the wellness program in 2015, had prediabetes (fasting glucose (FG) 100 to 125mg/dL or Hb1Ac 5.7 to 6.4%) and a BMI ≥25 kg/m2 in 2016, and agreed to participate in a digital behavioral counseling program followed by year-end biometric screening in 2017.
Results: The participants were 75% women and 61% Caucasian, 28% African American. At the 2016 year-end biometric screening, which preceded digital behavioral counseling, the characteristics of the cohort (mean± sd) were age, 50.0±9.9 years; BMI, 37.1±8.6 kg/m2; Hb1Ac, 6.1±0.6%; and FG, 106.9±24.2 mg/dL. Following behavioral counseling, 28% of the participants lost 5% or more of body weight. Hb1Ac and FG levels both fell below prediabetic thresholds for 32% of the participants. Other biometric outcome measures improved (Table).
Conclusions: Digital behavioral counseling was effective in reducing risk for both diabetes and cardiovascular disease in a workforce cohort.Change in annual biometric screening resultsThe year preceding counseling (2015 to 2016)The year counseling received (2016 to 2017)P value (paired t-Test)BMI (kg/m2)+0.66-1.18 |
doi_str_mv | 10.2337/db18-62-LB |
format | Article |
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Methods: We evaluated a cohort (n=113) who participated in an employer-sponsored annual wellness program with year-end biometric screening and enrolled in a digital behavioral counseling program. Individuals were included in the analysis if they participated in the wellness program in 2015, had prediabetes (fasting glucose (FG) 100 to 125mg/dL or Hb1Ac 5.7 to 6.4%) and a BMI ≥25 kg/m2 in 2016, and agreed to participate in a digital behavioral counseling program followed by year-end biometric screening in 2017.
Results: The participants were 75% women and 61% Caucasian, 28% African American. At the 2016 year-end biometric screening, which preceded digital behavioral counseling, the characteristics of the cohort (mean± sd) were age, 50.0±9.9 years; BMI, 37.1±8.6 kg/m2; Hb1Ac, 6.1±0.6%; and FG, 106.9±24.2 mg/dL. Following behavioral counseling, 28% of the participants lost 5% or more of body weight. Hb1Ac and FG levels both fell below prediabetic thresholds for 32% of the participants. Other biometric outcome measures improved (Table).
Conclusions: Digital behavioral counseling was effective in reducing risk for both diabetes and cardiovascular disease in a workforce cohort.Change in annual biometric screening resultsThe year preceding counseling (2015 to 2016)The year counseling received (2016 to 2017)P value (paired t-Test)BMI (kg/m2)+0.66-1.18<0.0001Hb1Ac (%)+0.06-0.220.001Fasting Glucose (mg/dL)+5.85-2.840.02Triglycerides (mg/dL)+12.0-17.20.0110-year ASCVD risk* (%)+1.83-0.480.01*Atherosclerotic Cardiovascular Disease risk (2013 ACC/AHA Cardiovascular Risk Guideline)</description><identifier>ISSN: 0012-1797</identifier><identifier>EISSN: 1939-327X</identifier><identifier>DOI: 10.2337/db18-62-LB</identifier><language>eng</language><ispartof>Diabetes (New York, N.Y.), 2018-07, Vol.67 (Supplement_1)</ispartof><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>BIRSE, CHARLES E.</creatorcontrib><creatorcontrib>LAGIER, ROBERT J.</creatorcontrib><creatorcontrib>CHEW, PAUL</creatorcontrib><creatorcontrib>JASIK, CAROLYN B.</creatorcontrib><creatorcontrib>MADERO, ERICA N.</creatorcontrib><title>Reduction of Diabetes and Cardiovascular Risk in a Workforce after Digital Behavioral Counseling</title><title>Diabetes (New York, N.Y.)</title><description>Background: We asked whether the integration of digital behavioral counseling with employer-sponsored annual biometric screening could reduce the risk of obesity-related chronic disease in a U.S. workforce.
Methods: We evaluated a cohort (n=113) who participated in an employer-sponsored annual wellness program with year-end biometric screening and enrolled in a digital behavioral counseling program. Individuals were included in the analysis if they participated in the wellness program in 2015, had prediabetes (fasting glucose (FG) 100 to 125mg/dL or Hb1Ac 5.7 to 6.4%) and a BMI ≥25 kg/m2 in 2016, and agreed to participate in a digital behavioral counseling program followed by year-end biometric screening in 2017.
Results: The participants were 75% women and 61% Caucasian, 28% African American. At the 2016 year-end biometric screening, which preceded digital behavioral counseling, the characteristics of the cohort (mean± sd) were age, 50.0±9.9 years; BMI, 37.1±8.6 kg/m2; Hb1Ac, 6.1±0.6%; and FG, 106.9±24.2 mg/dL. Following behavioral counseling, 28% of the participants lost 5% or more of body weight. Hb1Ac and FG levels both fell below prediabetic thresholds for 32% of the participants. Other biometric outcome measures improved (Table).
Conclusions: Digital behavioral counseling was effective in reducing risk for both diabetes and cardiovascular disease in a workforce cohort.Change in annual biometric screening resultsThe year preceding counseling (2015 to 2016)The year counseling received (2016 to 2017)P value (paired t-Test)BMI (kg/m2)+0.66-1.18<0.0001Hb1Ac (%)+0.06-0.220.001Fasting Glucose (mg/dL)+5.85-2.840.02Triglycerides (mg/dL)+12.0-17.20.0110-year ASCVD risk* (%)+1.83-0.480.01*Atherosclerotic Cardiovascular Disease risk (2013 ACC/AHA Cardiovascular Risk Guideline)</description><issn>0012-1797</issn><issn>1939-327X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNqVj71OwzAUha0KpIafpU9wZySDf6SErAkghk4VEmzmNrHLpamNrpNKvD2pxAtUZzhn-M7wCbHS6t5YWz30W_0oSyPXzUIUura1tKb6uBCFUtpIXdXVUlzl_K2UKucU4nPj-6kbKUVIAZ4It370GTD20CL3lI6Yu2lAhg3lPVAEhPfE-5C484Bh9Dy_djTiAI3_wiMlnmebppj9QHF3Iy4DDtnf_ve1uHt5fmtfZccpZ_bB_TAdkH-dVu7k4E4OrjRu3diz4D_8o064</recordid><startdate>20180701</startdate><enddate>20180701</enddate><creator>BIRSE, CHARLES E.</creator><creator>LAGIER, ROBERT J.</creator><creator>CHEW, PAUL</creator><creator>JASIK, CAROLYN B.</creator><creator>MADERO, ERICA N.</creator><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20180701</creationdate><title>Reduction of Diabetes and Cardiovascular Risk in a Workforce after Digital Behavioral Counseling</title><author>BIRSE, CHARLES E. ; LAGIER, ROBERT J. ; CHEW, PAUL ; JASIK, CAROLYN B. ; MADERO, ERICA N.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-crossref_primary_10_2337_db18_62_LB3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>BIRSE, CHARLES E.</creatorcontrib><creatorcontrib>LAGIER, ROBERT J.</creatorcontrib><creatorcontrib>CHEW, PAUL</creatorcontrib><creatorcontrib>JASIK, CAROLYN B.</creatorcontrib><creatorcontrib>MADERO, ERICA N.</creatorcontrib><collection>CrossRef</collection><jtitle>Diabetes (New York, N.Y.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>BIRSE, CHARLES E.</au><au>LAGIER, ROBERT J.</au><au>CHEW, PAUL</au><au>JASIK, CAROLYN B.</au><au>MADERO, ERICA N.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Reduction of Diabetes and Cardiovascular Risk in a Workforce after Digital Behavioral Counseling</atitle><jtitle>Diabetes (New York, N.Y.)</jtitle><date>2018-07-01</date><risdate>2018</risdate><volume>67</volume><issue>Supplement_1</issue><issn>0012-1797</issn><eissn>1939-327X</eissn><abstract>Background: We asked whether the integration of digital behavioral counseling with employer-sponsored annual biometric screening could reduce the risk of obesity-related chronic disease in a U.S. workforce.
Methods: We evaluated a cohort (n=113) who participated in an employer-sponsored annual wellness program with year-end biometric screening and enrolled in a digital behavioral counseling program. Individuals were included in the analysis if they participated in the wellness program in 2015, had prediabetes (fasting glucose (FG) 100 to 125mg/dL or Hb1Ac 5.7 to 6.4%) and a BMI ≥25 kg/m2 in 2016, and agreed to participate in a digital behavioral counseling program followed by year-end biometric screening in 2017.
Results: The participants were 75% women and 61% Caucasian, 28% African American. At the 2016 year-end biometric screening, which preceded digital behavioral counseling, the characteristics of the cohort (mean± sd) were age, 50.0±9.9 years; BMI, 37.1±8.6 kg/m2; Hb1Ac, 6.1±0.6%; and FG, 106.9±24.2 mg/dL. Following behavioral counseling, 28% of the participants lost 5% or more of body weight. Hb1Ac and FG levels both fell below prediabetic thresholds for 32% of the participants. Other biometric outcome measures improved (Table).
Conclusions: Digital behavioral counseling was effective in reducing risk for both diabetes and cardiovascular disease in a workforce cohort.Change in annual biometric screening resultsThe year preceding counseling (2015 to 2016)The year counseling received (2016 to 2017)P value (paired t-Test)BMI (kg/m2)+0.66-1.18<0.0001Hb1Ac (%)+0.06-0.220.001Fasting Glucose (mg/dL)+5.85-2.840.02Triglycerides (mg/dL)+12.0-17.20.0110-year ASCVD risk* (%)+1.83-0.480.01*Atherosclerotic Cardiovascular Disease risk (2013 ACC/AHA Cardiovascular Risk Guideline)</abstract><doi>10.2337/db18-62-LB</doi></addata></record> |
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title | Reduction of Diabetes and Cardiovascular Risk in a Workforce after Digital Behavioral Counseling |
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