Jump to content

  • Set Your Location
  • Sign in or Enroll
Set Your LocationKahi Mohala
  • Sign in or Enroll
    • Open I want to choose my medical group or hospital
    • Clear my location
Change Location
Sutter Health
  • Video Visits
  • Find Doctors
  • Find Locations
  • Treatments & Services
    • Video Visits
    • Find Doctors
    • Find Locations
    • Treatments & Services
    • COVID-19 Resources
    • Pay a Bill
    • Symptom Checker
    • Get Care Today
    • Health & Wellness
    • Classes & Events
    • Research & Clinical Trials
    • For Patients
    • About Sutter Health
    • Giving
    • Volunteering
    • Careers
    • News
    • For Medical Professionals
    • Other Business Services
Close Search
  • Home
  • Kāhi Mōhala
  • Research
  • Medical Informatics
Content

Short-term weight trajectories and long-term weight outcomes from a lifestyle intervention in real-world clinical practice.

Description

Romanelli RJ, Sudat S, Huang Q, Ma J, Venditti EM, Greenwood DA, Pressman AR, Azar KMJ., Transl Behav Med. pii: ibz118. doi: 10.1093/tbm/ibz118. [Epub ahead of print], 2019 Aug 01

Investigators

Kristen Azar, R.N., BSN, MSN/MPH, Investigator, Sylvia Sudat, PhD

Abstract

Centers for Disease Control and Prevention aligned lifestyle change programs are effective in promoting weight loss among those with elevated cardiometabolic risk; yet, variability in weight outcomes among participants is high. Little is known about heterogeneity of short-term weight changes among participants in real-world clinical practice.

We sought to identify short-term weight trajectory clusters among lifestyle change program participants in real-world clinical practice and to examine the relationship between cluster membership and long-term weight outcomes.

We identified participants from the electronic health records (2010-2017) with weight measured ≤30 days prior to program initiation (baseline) and in four intervals (3-week segments) in the 12 weeks after baseline. Clustering analysis was performed to identify distinct trajectories in percent weight change over 12 weeks. Cluster-specific differences in weight change at 12 and 52 weeks were assessed.

Among 1,148 participants, across 18 clinic sites, three clusters were identified: minimal-to-no weight loss (MWL), delayed-minimal weight loss (DWL), and steady-moderate weight loss (SWL), corresponding to mean weight changes of 0.4%, -2.3%, and -4.8% at 12 weeks follow-up, respectively. Mean weight changes were 0.4%, -1.8%, and -5.1% for MWL, DWL, and SWL clusters, respectively, at 52 weeks follow-up, which correlated in direction and magnitude with short-term weight changes.

Clustering analysis reveals heterogeneous, short-term weight trajectories among lifestyle change program participants in real-world clinical practice. Given the relationship between the magnitudes of short- and long-term weight change, individual participant weight trajectories may be useful in identifying potential non-responders in need of adjunctive or alternative therapy.

Pubmed Abstract

Pubmed AbstractOpens New Window

Associated Topics

  • Diabetes, Insulin Resistance and Metabolic Syndrome
  • Medical Informatics
  • Obesity

Related Publications

Physicians’ well-being linked to in-basket messages generated by algorithms In EHRs.

Tai-Seale M, Dillon EC, Yang Y, Nordgren R, Steinberg R, Nauenberg T, Lee TC, Meehan A, Li J, Chan AS, Frosch D.
Health Aff. 38(7): https://doi.org/10.1377/hlthaff.2018.05509.
2019 Jul 01

Physicians’ well-being linked to in-basket messages generated by algorithms In electronic health records.

Tai-Seale M, Dillon EC, Yang Y, Nordgren R, Steinberg R, Nauenberg T, Lee TC, Meehan A, Li J, Chan AS, Frosch D.
Health Aff. 38(7): https://doi.org/10.1377/hlthaff.2018.05509.
2019 Jul 01

Comparative usability study of a newly created patient-centered tool and Medicare.gov plan finder to help Medicare beneficiaries choose prescription drug plans.

Stults CD, Fattahi S, Meehan A, Bundorf MK, Chan AS, Pun T, Tai-Seale M.
J Patient Exp. 6(1):81-86. doi: 10.1177/2374373518778343. Epub 2018 Jun 6.
2019 Mar 01

Measuring adherence and outcomes in the treatment of patients with multiple sclerosis.

Hao J, Pitcavage J, Jones JB, Hoegerl C, Graham J.
J Am Osteopath Assoc. 117(12):737-747. doi: 10.7556/jaoa.2017.145.
2017 Dec 01

Medication burden in patients with acute coronary syndromes.

Wright EA, Steinhubl SR, Jones JB, Barua P, Yan X, Van Loan R, Frederick G, Bhandary D, Cobden D.
Am J Manag Care. 2017 Apr 1;23(4):e106-e112.
2017 Apr 01
The Sutter Health Network of Care
Expertise to fit your needs
Primary Care

Check-ups, screenings and sick visits for adults and children.

Specialty Care

Expertise and advanced technologies in all areas of medicine.

Emergency Care

For serious accidents, injuries and conditions that require immediate medical care.

Urgent Care

After-hours, weekend and holiday services.

Walk-In Care

Convenient walk-in care clinics for your non-urgent health needs.

  • Contact Us
  • Find Doctors
  • Find Locations
  • Request Medical Records
  • Make a Gift
Sign in to My Health Online

Billing and Insurance

  • Pay a Bill
  • Accepted Health Plans
  • Estimate Costs
  • Medicare Advantage

About Sutter

  • About Our Network
  • Community Benefit
  • Annual Report
  • News

Our Team

  • For Employees
  • For Medical Professionals
  • For Vendors
  • For Volunteers

Careers

  • Jobs at Sutter
  • Physician Jobs
  • Graduate Medical Education

Copyright © 2023 Sutter Health. All rights reserved. Sutter Health is a registered trademark of Sutter Health ®, Reg. U.S. Patent & Trademark office.

  • ADA Accessibility
  • Privacy
  • Do Not Sell My Personal Information
  • LinkedIn Opens new window
  • YouTube Opens new window
  • Facebook Opens new window
  • Twitter Opens new window
  • Instagram Opens new window
  • Glassdoor Opens new window

Cookie Policy

We use cookies to give you the best possible user experience. By continuing to use the site, you agree to the use of cookies. Privacy Policy Cookie Preferences

Privacy Policy Cookie Preferences