Using response variation to develop more effective, personalized behavioral medicine? evidence from the Resist Diabetes study

Richard A. Winett, Brenda M. Davy, Jyoti Savla, Elaina L. Marinik, Sheila G. Winett, Mary Elizabeth Baugh, Kyle D. Flack

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

Health behavior interventions have achieved some notable outcomes through generally higher dose interventions with intensive initial phases and long-term, faded contact maintenance phases with attention to mean changes and adherence rates. Interventions may be improved by shifting attention to the very large response variation that is typical for such protocols as exercise with non-, low, moderate, and high responders and even those who show adverse responses. Data from the Resist Diabetes study, which included adults (N = 159, ages 50–69 years) with prediabetes who were overweight or obese (BMI 25–39.9 kg/m2) and previously inactive, are presented. The data show a typical pattern of wide variation for changes on a 2-h oral glucose tolerance test (OGTT), defined by blood glucose concentration measured after 2 h following ingestion of 75 g of glucose, lean body mass, fat mass, strength, and blood pressure to the same resistance training protocol within a highly supervised phase and where adherence was high. A personalized behavioral medicine approach could focus on such individual patterns of response variation to tailor and alter additional intervention components, the staging of maintenance interventions, and then determining how to most effectively, and systematically, translate this adaptive intervention approach into practice to potentially achieve more optimal clinical outcomes.

Original languageEnglish (US)
Pages (from-to)333-338
Number of pages6
JournalTranslational Behavioral Medicine
Volume4
Issue number3
DOIs
StatePublished - Sep 1 2014
Externally publishedYes

Fingerprint

Behavioral Medicine
Precision Medicine
Maintenance
Prediabetic State
Resistance Training
Health Behavior
Glucose Tolerance Test
Blood Glucose
Eating
Fats
Blood Pressure
Glucose

Keywords

  • Clinical outcomes
  • Health behavior interventions
  • Personalized behavioral medicine
  • Response variation
  • Tailoring

ASJC Scopus subject areas

  • Behavioral Neuroscience
  • Applied Psychology

Cite this

Using response variation to develop more effective, personalized behavioral medicine? evidence from the Resist Diabetes study. / Winett, Richard A.; Davy, Brenda M.; Savla, Jyoti; Marinik, Elaina L.; Winett, Sheila G.; Baugh, Mary Elizabeth; Flack, Kyle D.

In: Translational Behavioral Medicine, Vol. 4, No. 3, 01.09.2014, p. 333-338.

Research output: Contribution to journalArticle

Winett, Richard A. ; Davy, Brenda M. ; Savla, Jyoti ; Marinik, Elaina L. ; Winett, Sheila G. ; Baugh, Mary Elizabeth ; Flack, Kyle D. / Using response variation to develop more effective, personalized behavioral medicine? evidence from the Resist Diabetes study. In: Translational Behavioral Medicine. 2014 ; Vol. 4, No. 3. pp. 333-338.
@article{f8380ca12d1749b7b0465b2c910e87c7,
title = "Using response variation to develop more effective, personalized behavioral medicine?: evidence from the Resist Diabetes study",
abstract = "Health behavior interventions have achieved some notable outcomes through generally higher dose interventions with intensive initial phases and long-term, faded contact maintenance phases with attention to mean changes and adherence rates. Interventions may be improved by shifting attention to the very large response variation that is typical for such protocols as exercise with non-, low, moderate, and high responders and even those who show adverse responses. Data from the Resist Diabetes study, which included adults (N = 159, ages 50–69 years) with prediabetes who were overweight or obese (BMI 25–39.9 kg/m2) and previously inactive, are presented. The data show a typical pattern of wide variation for changes on a 2-h oral glucose tolerance test (OGTT), defined by blood glucose concentration measured after 2 h following ingestion of 75 g of glucose, lean body mass, fat mass, strength, and blood pressure to the same resistance training protocol within a highly supervised phase and where adherence was high. A personalized behavioral medicine approach could focus on such individual patterns of response variation to tailor and alter additional intervention components, the staging of maintenance interventions, and then determining how to most effectively, and systematically, translate this adaptive intervention approach into practice to potentially achieve more optimal clinical outcomes.",
keywords = "Clinical outcomes, Health behavior interventions, Personalized behavioral medicine, Response variation, Tailoring",
author = "Winett, {Richard A.} and Davy, {Brenda M.} and Jyoti Savla and Marinik, {Elaina L.} and Winett, {Sheila G.} and Baugh, {Mary Elizabeth} and Flack, {Kyle D.}",
year = "2014",
month = "9",
day = "1",
doi = "10.1007/s13142-014-0263-2",
language = "English (US)",
volume = "4",
pages = "333--338",
journal = "Translational Behavioral Medicine",
issn = "1869-6716",
publisher = "Springer Publishing Company",
number = "3",

}

TY - JOUR

T1 - Using response variation to develop more effective, personalized behavioral medicine?

T2 - evidence from the Resist Diabetes study

AU - Winett, Richard A.

AU - Davy, Brenda M.

AU - Savla, Jyoti

AU - Marinik, Elaina L.

AU - Winett, Sheila G.

AU - Baugh, Mary Elizabeth

AU - Flack, Kyle D.

PY - 2014/9/1

Y1 - 2014/9/1

N2 - Health behavior interventions have achieved some notable outcomes through generally higher dose interventions with intensive initial phases and long-term, faded contact maintenance phases with attention to mean changes and adherence rates. Interventions may be improved by shifting attention to the very large response variation that is typical for such protocols as exercise with non-, low, moderate, and high responders and even those who show adverse responses. Data from the Resist Diabetes study, which included adults (N = 159, ages 50–69 years) with prediabetes who were overweight or obese (BMI 25–39.9 kg/m2) and previously inactive, are presented. The data show a typical pattern of wide variation for changes on a 2-h oral glucose tolerance test (OGTT), defined by blood glucose concentration measured after 2 h following ingestion of 75 g of glucose, lean body mass, fat mass, strength, and blood pressure to the same resistance training protocol within a highly supervised phase and where adherence was high. A personalized behavioral medicine approach could focus on such individual patterns of response variation to tailor and alter additional intervention components, the staging of maintenance interventions, and then determining how to most effectively, and systematically, translate this adaptive intervention approach into practice to potentially achieve more optimal clinical outcomes.

AB - Health behavior interventions have achieved some notable outcomes through generally higher dose interventions with intensive initial phases and long-term, faded contact maintenance phases with attention to mean changes and adherence rates. Interventions may be improved by shifting attention to the very large response variation that is typical for such protocols as exercise with non-, low, moderate, and high responders and even those who show adverse responses. Data from the Resist Diabetes study, which included adults (N = 159, ages 50–69 years) with prediabetes who were overweight or obese (BMI 25–39.9 kg/m2) and previously inactive, are presented. The data show a typical pattern of wide variation for changes on a 2-h oral glucose tolerance test (OGTT), defined by blood glucose concentration measured after 2 h following ingestion of 75 g of glucose, lean body mass, fat mass, strength, and blood pressure to the same resistance training protocol within a highly supervised phase and where adherence was high. A personalized behavioral medicine approach could focus on such individual patterns of response variation to tailor and alter additional intervention components, the staging of maintenance interventions, and then determining how to most effectively, and systematically, translate this adaptive intervention approach into practice to potentially achieve more optimal clinical outcomes.

KW - Clinical outcomes

KW - Health behavior interventions

KW - Personalized behavioral medicine

KW - Response variation

KW - Tailoring

UR - http://www.scopus.com/inward/record.url?scp=84907681068&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84907681068&partnerID=8YFLogxK

U2 - 10.1007/s13142-014-0263-2

DO - 10.1007/s13142-014-0263-2

M3 - Article

AN - SCOPUS:84907681068

VL - 4

SP - 333

EP - 338

JO - Translational Behavioral Medicine

JF - Translational Behavioral Medicine

SN - 1869-6716

IS - 3

ER -