Literature DB >> 20189770

Noncompliance in lifestyle intervention studies: the instrumental variable method provides insight into the bias.

Emmy M Hertogh1, A Jantine Schuit, Petra H M Peeters, Evelyn M Monninkhof.   

Abstract

OBJECTIVE: In lifestyle intervention trials, participants of the control group often change their behavior despite the request to maintain their usual lifestyle pattern. These changes in the control group and changes in addition to the intended in the intervention group can lead to undesirable confounding effects. STUDY DESIGN AND
SETTING: We address several considerations for study design to prevent noncompliance or minimize its effects. Furthermore, we demonstrate how the instrumental variable method can give insight into the extent of bias introduced by noncompliance in randomized trials, within the context of the Sex Hormones and Physical Exercise study.
RESULTS: Noncompliance can be prevented by measures taken in the design phase of a study, for example, limited duration of the study, clear recommendations, power calculation, intensity of the intervention, involvement of the control group, waiting-list control group, and single-consent design nested within an observational study. When nevertheless noncompliance does occur, the instrumental variable method estimates the intervention effect of treatment among the compliers.
CONCLUSION: Noncompliance can seriously affect validity of lifestyle trial results. Its occurrence should be prevented by taking measures during the design phase of a study. The instrumental variable method can give insight into confounding by noncompliance in randomized trials. Copyright (c) 2010 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2010        PMID: 20189770     DOI: 10.1016/j.jclinepi.2009.10.007

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  14 in total

1.  Internet-based behavioral interventions for obesity: an updated systematic review.

Authors:  Gian Mauro Manzoni; Francesco Pagnini; Stefania Corti; Enrico Molinari; Gianluca Castelnuovo
Journal:  Clin Pract Epidemiol Ment Health       Date:  2011-03-04

2.  Effects of diet and exercise interventions on diabetes risk factors in adults without diabetes: meta-analyses of controlled trials.

Authors:  J A D Ranga Niroshan Appuhamy; Ermias Kebreab; Mitchell Simon; Rickey Yada; Larry P Milligan; James France
Journal:  Diabetol Metab Syndr       Date:  2014-11-24       Impact factor: 3.320

Review 3.  Control group design, contamination and drop-out in exercise oncology trials: a systematic review.

Authors:  Charlotte N Steins Bisschop; Kerry S Courneya; Miranda J Velthuis; Evelyn M Monninkhof; Lee W Jones; Christine Friedenreich; Elsken van der Wall; Petra H M Peeters; Anne M May
Journal:  PLoS One       Date:  2015-03-27       Impact factor: 3.240

4.  Contamination by an Active Control Condition in a Randomized Exercise Trial.

Authors:  Diane K Ehlers; Jason Fanning; Elizabeth A Awick; Arthur F Kramer; Edward McAuley
Journal:  PLoS One       Date:  2016-10-10       Impact factor: 3.240

5.  Representativeness of participants in a lifestyle intervention study in obese pregnant women - the difference between study participants and non-participants.

Authors:  Joanna Gesche; Kristina Renault; Kirsten Nørgaard; Lisbeth Nilas
Journal:  Obes Facts       Date:  2014-11-25       Impact factor: 3.942

6.  Moderators of Exercise Effects on Cancer-related Fatigue: A Meta-analysis of Individual Patient Data.

Authors:  Jonna K VAN Vulpen; Maike G Sweegers; Petra H M Peeters; Kerry S Courneya; Robert U Newton; Neil K Aaronson; Paul B Jacobsen; Daniel A Galvão; Mai J Chinapaw; Karen Steindorf; Melinda L Irwin; Martijn M Stuiver; Sandi Hayes; Kathleen A Griffith; Ilse Mesters; Hans Knoop; Martine M Goedendorp; Nanette Mutrie; Amanda J Daley; Alex McConnachie; Martin Bohus; Lene Thorsen; Karl-Heinz Schulz; Camille E Short; Erica L James; Ronald C Plotnikoff; Martina E Schmidt; Cornelia M Ulrich; Marc VAN Beurden; Hester S Oldenburg; Gabe S Sonke; Wim H VAN Harten; Kathryn H Schmitz; Kerri M Winters-Stone; Miranda J Velthuis; Dennis R Taaffe; Willem VAN Mechelen; Marie José Kersten; Frans Nollet; Jennifer Wenzel; Joachim Wiskemann; Irma M Verdonck-DE Leeuw; Johannes Brug; Anne M May; Laurien M Buffart
Journal:  Med Sci Sports Exerc       Date:  2020-02

7.  Estimating treatment effects in randomised controlled trials with non-compliance: a simulation study.

Authors:  Chenglin Ye; Joseph Beyene; Gina Browne; Lehana Thabane
Journal:  BMJ Open       Date:  2014-06-17       Impact factor: 2.692

8.  The effects of exercise on the quality of life of patients with breast cancer (the UMBRELLA Fit study): study protocol for a randomized controlled trial.

Authors:  Roxanne Gal; Evelyn M Monninkhof; Rolf H H Groenwold; Carla H van Gils; Desiree H J G van den Bongard; Petra H M Peeters; Helena M Verkooijen; Anne M May
Journal:  Trials       Date:  2017-10-27       Impact factor: 2.279

9.  Instrumental variable methods for a binary outcome were used to informatively address noncompliance in a randomized trial in surgery.

Authors:  Jonathan A Cook; Graeme S MacLennan; Tom Palmer; Noemi Lois; Richard Emsley
Journal:  J Clin Epidemiol       Date:  2017-11-20       Impact factor: 6.437

Review 10.  How to Construct, Conduct and Analyze an Exercise Training Study?

Authors:  Anne Hecksteden; Oliver Faude; Tim Meyer; Lars Donath
Journal:  Front Physiol       Date:  2018-07-26       Impact factor: 4.566

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.