Literature DB >> 24332147

Using an online, personalized program reduces cardiovascular risk factor profiles in a motivated, adherent population of participants.

R Jay Widmer1, Thomas G Allison1, Brendie Keane2, Anthony Dallas2, Lilach O Lerman3, Amir Lerman4.   

Abstract

BACKGROUND: Cardiovascular disease (CVD) is the leading cause of morbidity, mortality, and cost in Western society. Employer-sponsored work health programs (WHPs) and Web-based portals for monitoring and providing guidance based on participants' health risk assessments are emerging, yet online technologies to improve CVD health in the workplace are relatively unproven. We hypothesized that an online WHP, comprehensively addressing multiple facets of CVD, can be successfully implemented and improve the health of participants.
METHODS: A cohort of employees in Tennessee (n = 1,602) was subjected to a health risk assessment at baseline. Those who did not meet all 5 healthy benchmarks (n = 836)-body mass index, blood pressure, glucose, total cholesterol, and smoking status-were prospectively assigned to a Web-based personal health assistant and had repeat measurements taken at 90 days.
RESULTS: Of those who both completed the personal health assistant program and underwent baseline plus 90-day assessments (508/836, 61%), 75% were female, mean age was 46.5 ± 11.1 years, and the mean number of risk factors at baseline was 1.1 ± 0.9 with a mean 10-year Framingham Risk Score of 2.9%. This cohort demonstrated a significant reduction in total cholesterol (P < .0001), low-density lipoprotein cholesterol (P < .0001), triglycerides (P < .0001), systolic blood pressure (P = .009), glucose (P = .004), weight (P = .001), and body mass index (P = .001). Most of the participants improved at least 1 risk factor. Framingham Risk 10-year cardiovascular risk percentages were significantly reduced (P = .003).
CONCLUSIONS: This study in a prospective cohort of community-dwelling employees suggests that an online WHP can provide a viable means to improve surrogates of CVD risk factors.
© 2014.

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Year:  2013        PMID: 24332147     DOI: 10.1016/j.ahj.2013.09.019

Source DB:  PubMed          Journal:  Am Heart J        ISSN: 0002-8703            Impact factor:   4.749


  12 in total

Review 1.  Digital health interventions for the prevention of cardiovascular disease: a systematic review and meta-analysis.

Authors:  R Jay Widmer; Nerissa M Collins; C Scott Collins; Colin P West; Lilach O Lerman; Amir Lerman
Journal:  Mayo Clin Proc       Date:  2015-04       Impact factor: 7.616

2.  Digital Health Intervention as an Adjunct to Cardiac Rehabilitation Reduces Cardiovascular Risk Factors and Rehospitalizations.

Authors:  R Jay Widmer; Thomas G Allison; Lilach O Lerman; Amir Lerman
Journal:  J Cardiovasc Transl Res       Date:  2015-05-07       Impact factor: 4.132

3.  International collaboration: promises and challenges.

Authors:  R Jay Widmer; Jocelyn M Widmer; Amir Lerman
Journal:  Rambam Maimonides Med J       Date:  2015-04-29

4.  Occupation and risk of sudden death in a United States community: a case-control analysis.

Authors:  Lin Zhang; Kumar Narayanan; Vallabh Suryadevara; Carmen Teodorescu; Kyndaron Reinier; Audrey Uy-Evanado; Harpriya Chugh; Zhi-Jie Zheng; Karen Gunson; Jonathan Jui; Sumeet S Chugh
Journal:  BMJ Open       Date:  2015-12-18       Impact factor: 2.692

5.  Effectiveness of a Web-Based Computer-Tailored Multiple-Lifestyle Intervention for People Interested in Reducing their Cardiovascular Risk: A Randomized Controlled Trial.

Authors:  Vera Storm; Julia Dörenkämper; Dominique Alexandra Reinwand; Julian Wienert; Hein De Vries; Sonia Lippke
Journal:  J Med Internet Res       Date:  2016-04-11       Impact factor: 5.428

6.  Uptake of a Consumer-Focused mHealth Application for the Assessment and Prevention of Heart Disease: The <30 Days Study.

Authors:  Shivani Goyal; Plinio P Morita; Peter Picton; Emily Seto; Ahmad Zbib; Joseph A Cafazzo
Journal:  JMIR Mhealth Uhealth       Date:  2016-03-24       Impact factor: 4.773

7.  Usage of a Digital Health Workplace Intervention Based on Socioeconomic Environment and Race: Retrospective Secondary Cross-Sectional Study.

Authors:  Conor Senecal; R Jay Widmer; Kent Bailey; Lilach O Lerman; Amir Lerman
Journal:  J Med Internet Res       Date:  2018-04-23       Impact factor: 5.428

8.  Workplace Digital Health Is Associated with Improved Cardiovascular Risk Factors in a Frequency-Dependent Fashion: A Large Prospective Observational Cohort Study.

Authors:  R Jay Widmer; Thomas G Allison; Brendie Keane; Anthony Dallas; Kent R Bailey; Lilach O Lerman; Amir Lerman
Journal:  PLoS One       Date:  2016-04-19       Impact factor: 3.240

9.  Digital technology to facilitate Proactive Assessment of Obesity Risk during Infancy (ProAsk): a feasibility study.

Authors:  Sarah A Redsell; Jennie Rose; Stephen Weng; Joanne Ablewhite; Judy Anne Swift; Aloysius Niroshan Siriwardena; Dilip Nathan; Heather J Wharrad; Pippa Atkinson; Vicki Watson; Fiona McMaster; Rajalakshmi Lakshman; Cris Glazebrook
Journal:  BMJ Open       Date:  2017-09-06       Impact factor: 2.692

10.  Evaluation of a Web-Based Intervention for Multiple Health Behavior Changes in Patients With Coronary Heart Disease in Home-Based Rehabilitation: Pilot Randomized Controlled Trial.

Authors:  Yan Ping Duan; Wei Liang; Lan Guo; Julian Wienert; Gang Yan Si; Sonia Lippke
Journal:  J Med Internet Res       Date:  2018-11-19       Impact factor: 5.428

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