Literature DB >> 25981966

Food environments are relevant to recruitment and adherence in dietary modification trials.

Alexandra Feathers1, Ana C Aycinena2, Gina S Lovasi1, Andrew Rundle3, Ann Ogden Gaffney4, John Richardson1, Dawn Hershman5, Pam Koch6, Isobel Contento6, Heather Greenlee7.   

Abstract

Few studies have examined the built environment's role in recruitment to and adherence in dietary intervention trials. Using data from a randomized dietary modification trial of urban Latina breast cancer survivors, we tested the hypotheses that neighborhood produce access could act as a potential barrier and/or facilitator to recruitment, and that a participant's produce availability would be associated with increased fruit/vegetable intake, one of the intervention's targets. Eligible women who lived within a higher produce environment had a non-significant trend towards being more likely to enroll in the trial. Among enrollees, women who had better neighborhood access to produce had a non-significant trend toward increasing fruit/vegetable consumption. As these were not a priori hypotheses to test, we consider these analyses to be hypothesis generating and not confirmatory. Results suggest that participants' food environment should be considered when recruiting to and assessing the adherence of dietary intervention studies.
Copyright © 2015. Published by Elsevier Inc.

Entities:  

Keywords:  Breast cancer; Dietary interventions; Food environments; Geographic Information Systems (GIS); Nutrition

Mesh:

Year:  2015        PMID: 25981966      PMCID: PMC4767277          DOI: 10.1016/j.nutres.2015.04.007

Source DB:  PubMed          Journal:  Nutr Res        ISSN: 0271-5317            Impact factor:   3.315


  36 in total

1.  Compliance of patients with hypertension and associated factors.

Authors:  H Kyngäs; T Lahdenperä
Journal:  J Adv Nurs       Date:  1999-04       Impact factor: 3.187

2.  Dietary adherence: characteristics and interventions.

Authors:  A M Sherman; D J Bowen; M Vitolins; M G Perri; M C Rosal; M A Sevick; J K Ockene
Journal:  Control Clin Trials       Date:  2000-10

3.  A rapid food screener to assess fat and fruit and vegetable intake.

Authors:  G Block; C Gillespie; E H Rosenbaum; C Jenson
Journal:  Am J Prev Med       Date:  2000-05       Impact factor: 5.043

4.  How sociodemographics, presence of oncology specialists, and hospital cancer programs affect accrual to cancer treatment trials.

Authors:  Warren B Sateren; Edward L Trimble; Jeffrey Abrams; Otis Brawley; Nancy Breen; Leslie Ford; Mary McCabe; Richard Kaplan; Malcolm Smith; Richard Ungerleider; Michaele C Christian
Journal:  J Clin Oncol       Date:  2002-04-15       Impact factor: 44.544

5.  Neighbourhood differences in diet: the Atherosclerosis Risk in Communities (ARIC) Study.

Authors:  A V Diez-Roux; F J Nieto; L Caulfield; H A Tyroler; R L Watson; M Szklo
Journal:  J Epidemiol Community Health       Date:  1999-01       Impact factor: 3.710

6.  Why cancer patients enter randomized clinical trials: exploring the factors that influence their decision.

Authors:  James R Wright; Timothy J Whelan; Susan Schiff; Sacha Dubois; Dauna Crooks; Patricia T Haines; Diane DeRosa; Robin S Roberts; Amiram Gafni; Kathleen Pritchard; Mark N Levine
Journal:  J Clin Oncol       Date:  2004-11-01       Impact factor: 44.544

7.  Achieving substantial changes in eating behavior among women previously treated for breast cancer--an overview of the intervention.

Authors:  Vicky A Newman; Cynthia A Thomson; Cheryl L Rock; Shirley W Flatt; Sheila Kealey; Wayne A Bardwell; Bette J Caan; John P Pierce
Journal:  J Am Diet Assoc       Date:  2005-03

8.  Supermarkets, other food stores, and obesity: the atherosclerosis risk in communities study.

Authors:  Kimberly Morland; Ana V Diez Roux; Steve Wing
Journal:  Am J Prev Med       Date:  2006-04       Impact factor: 5.043

9.  Environmental factors that impact the eating behaviors of low-income African American adolescents in Baltimore City.

Authors:  Karina M H Christiansen; Farah Qureshi; Alex Schaible; Sohyun Park; Joel Gittelsohn
Journal:  J Nutr Educ Behav       Date:  2013-07-31       Impact factor: 3.045

10.  Recruitment of black and Latina women to a randomized controlled trial.

Authors:  Anika Martin; Rennie Negron; Amy Balbierz; Nina Bickell; Elizabeth A Howell
Journal:  J Health Care Poor Underserved       Date:  2013-08
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  5 in total

1.  Examining the Association between Intervention-Related Changes in Diet, Physical Activity, and Weight as Moderated by the Food and Physical Activity Environments among Rural, Southern Adults.

Authors:  Stephanie B Jilcott Pitts; Thomas C Keyserling; Larry F Johnston; Kelly R Evenson; Jared T McGuirt; Ziya Gizlice; Olivia R Whitt; Alice S Ammerman
Journal:  J Acad Nutr Diet       Date:  2017-06-09       Impact factor: 4.910

2.  Developing a Diet and Physical Activity Intervention for Hispanic/Latina Breast Cancer Survivors.

Authors:  Isobel Contento; Rachel Paul; Amanda M Marin-Chollom; Ann Ogden Gaffney; Jhack Sepulveda; Naxielly Dominguez; Heewon Gray; Anne M Haase; Dawn L Hershman; Pamela Koch; Heather Greenlee
Journal:  Cancer Control       Date:  2022 Jan-Dec       Impact factor: 2.339

3.  Weight and Veterans' Environments Study (WAVES) I and II: Rationale, Methods, and Cohort Characteristics.

Authors:  Shannon N Zenk; Elizabeth Tarlov; Lisa M Powell; Coady Wing; Stephen A Matthews; Sandy Slater; Howard S Gordon; Michael Berbaum; Marian L Fitzgibbon
Journal:  Am J Health Promot       Date:  2017-03-02

4.  Does Effectiveness of Weight Management Programs Depend on the Food Environment?

Authors:  Elizabeth Tarlov; Coady Wing; Howard S Gordon; Stephen A Matthews; Kelly K Jones; Lisa M Powell; Shannon N Zenk
Journal:  Health Serv Res       Date:  2018-09-23       Impact factor: 3.402

Review 5.  Neighborhood Characteristics and Cancer Survivorship: An Overview of the Current Literature on Neighborhood Landscapes and Cancer Care.

Authors:  Sima Namin; Yuhong Zhou; Joan Neuner; Kirsten Beyer
Journal:  Int J Environ Res Public Health       Date:  2021-07-05       Impact factor: 3.390

  5 in total

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