NCT02073643

Brief Summary

This project examines behavioral and household characteristics associated with food purchasing patterns.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
204

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Nov 2013

Longer than P75 for all trials

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

November 1, 2013

Completed
4 months until next milestone

First Submitted

Initial submission to the registry

February 24, 2014

Completed
3 days until next milestone

First Posted

Study publicly available on registry

February 27, 2014

Completed
2.7 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

November 1, 2016

Completed
1.4 years until next milestone

Study Completion

Last participant's last visit for all outcomes

March 31, 2018

Completed
12 months until next milestone

Results Posted

Study results publicly available

March 25, 2019

Completed
Last Updated

March 25, 2019

Status Verified

March 1, 2019

Enrollment Period

3 years

First QC Date

February 24, 2014

Results QC Date

May 29, 2018

Last Update Submit

March 22, 2019

Conditions

Dietary HabitsAdiposityBlood Pressure

Outcome Measures

Primary Outcomes (1)

  • Diet Quality of Household Food Purchases

    Diet quality was quantified by applying the Healthy Eating Index-2015 (HEI-2015) scoring criteria (https://epi.grants.cancer.gov/hei/) to the nutrient and food group data of purchased foods and beverages. The HEI-2015 scores adherence to the Department of Health and Human Services' 2015 Dietary Guidelines for Americans. Adherence to recommended intakes for 13 key dietary components is scored on continuous scale for each component, and the 13 component scores are then summed to obtain a total score ranging from 0-100. Higher scores reflect closer adherence to the dietary guidelines.

    2 weeks

Secondary Outcomes (3)

  • Diet Quality of Dietary Intake

    2 weeks

  • Home Food Environment

    2 weeks

  • Percentage of Total Energy Purchased From Non-store Sources (e.g., Fast Food and Take-out/Delivery, Restaurants)

    2 weeks

Other Outcomes (2)

  • Change From Baseline in Systolic Blood Pressure at 12 Months

    12 months

  • Change From Baseline in Body Mass Index at 12 Months

    12 months

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Chicago households

You may qualify if:

  • Adult individual who reports making at least 75% of household food purchases
  • Resides in City of Chicago, Illinois or surrounding suburbs

You may not qualify if:

  • Inability to provide informed consent in English
  • Living in transitional housing or on a college campus
  • Lack of a cellular or land line phone
  • Gang presence or illegal activity in the immediate vicinity of the home, or other factors jeopardizing researcher safety during home visits (e.g., extreme unsanitary conditions)
  • Having a household member, including the primary shopper, with a medical condition or food allergy that substantially influences household food choices (e.g., phenylketonuria, celiac disease)

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Rush University Medical Center

Chicago, Illinois, 60612, United States

Location

Related Publications (3)

  • Appelhans BM, Tangney CC, French SA, Crane MM, Wang Y. Delay discounting and household food purchasing decisions: The SHoPPER study. Health Psychol. 2019 Apr;38(4):334-342. doi: 10.1037/hea0000727.

    PMID: 30896220DERIVED

  • French SA, Tangney CC, Crane MM, Wang Y, Appelhans BM. Nutrition quality of food purchases varies by household income: the SHoPPER study. BMC Public Health. 2019 Feb 26;19(1):231. doi: 10.1186/s12889-019-6546-2.

    PMID: 30808311DERIVED

  • Appelhans BM, French SA, Tangney CC, Powell LM, Wang Y. To what extent do food purchases reflect shoppers' diet quality and nutrient intake? Int J Behav Nutr Phys Act. 2017 Apr 11;14(1):46. doi: 10.1186/s12966-017-0502-2.

    PMID: 28399887DERIVED

MeSH Terms

Conditions

Feeding BehaviorObesity

Condition Hierarchy (Ancestors)

Behavior, AnimalBehaviorOverweightOvernutritionNutrition DisordersNutritional and Metabolic DiseasesBody WeightSigns and SymptomsPathological Conditions, Signs and Symptoms

Results Point of Contact

Title
Brad Appelhans, PhD
Organization
Rush University Medical Center
brad_appelhans@rush.edu
312-942-3477

Publication Agreements

PI is Sponsor Employee
No
Restrictive Agreement
No

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Assistant Professor of Preventive Medicine

Study Record Dates

First Submitted

February 24, 2014

First Posted

February 27, 2014

Study Start

November 1, 2013

Primary Completion

November 1, 2016

Study Completion

March 31, 2018

Last Updated

March 25, 2019

Results First Posted

March 25, 2019

Record last verified: 2019-03

Locations

US(1)