Evidence map›Paper›PMID 25704262›Full record

ArticleJournal of the Academy of Nutrition and Dietetics2015

Food shopping profiles and their association with dietary patterns: a latent class analysis.

Nicole A VanKim, Darin J Erickson, Melissa N Laska

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the Academy of Nutrition and Dietetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.7field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Human exposome assessment platform.Environmental epidemiology (Philadelphia, Pa.) · 2021
    Article
  3. Article
  4. Article
  5. Delay discounting and household food purchasing decisions: The SHoPPER study.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2019
    Article
  6. Article
  7. Article
  8. Article
  9. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Nicole A VanKim
Darin J Erickson
Melissa N Laska
San Diego State University · US

Funding

WOmen-Oxidative Stress, Estrogens, and Exercise (WOOSEE)U54CA116849 · NCI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI JEFFERY, ROBERT W · 2005 to 2010
$10.8M
Minnesota Obesity Prevention Training (MnOPT)T32DK083250 · NIDDK · UNIVERSITY OF MINNESOTA · PI KOTZ, CATHERINE M, LASKA, MELISSA N. · 2010 to 2024
$5.1M
Spatial Analysis CoreR24HD041023 · NICHD · UNIVERSITY OF MINNESOTA TWIN CITIES · PI RUGGLES, STEVE · 2001 to 2016
$4.1M
College Student Weight Gain: Identifying Opportunities for Cancer PreventionK07CA126837 · NCI · UNIVERSITY OF MINNESOTA · PI LASKA, MELISSA N. · 2008 to 2012
$747k
NCI NIH HHS 1 U54 CA116849NCI NIH HHS K07 CA126837NCI NIH HHS K07CA126837NCI NIH HHS U54 CA116849NICHD NIH HHS R24 HD041023NIDDK NIH HHS T32 DK083250NIDDK NIH HHS T32DK083250
6 · The paper itself

Abstract

backgroundFood shopping is a complex behavior that consists of multiple dimensions. Little research has explored multiple dimensions of food shopping or examined how it relates to dietary intake.

objectiveTo identify patterns (or classes) of food shopping across four domains (fresh food purchasing, conscientious food shopping, food shopping locations, and food/beverage purchasing on or near campus) and explore how these patterns relate to dietary intake among college students.

designA cross-sectional online survey was administered. PARTICIPANTS/

settingStudents attending a public 4-year university and a 2-year community college in the Twin Cities (Minnesota) metropolitan area (N=1,201) participated in this study.

main outcome measuresFast-food and soda consumption as well as meeting fruit and vegetable, fiber, added sugar, calcium, dairy, and fat recommendations. STATISTICAL ANALYSES: Crude and adjusted latent class models and adjusted logistic regression models were fit.

resultsAn eight-class solution was identified: "traditional shopper" (14.9%), "fresh food and supermarket shopper" (14.1%), "convenience shopper" (18.8%), "conscientious convenience shopper" (13.8%), "conscientious, fresh food, convenience shopper" (11.8%), "conscientious fresh food shopper" (6.6%), "conscientious nonshopper" (10.2%), and "nonshopper" (9.8%). "Fresh food and supermarket shoppers" and "conscientious fresh food shoppers" had better dietary intake (for fast food, calcium, dairy, and added sugar), whereas "convenience shoppers" and "conscientious convenience shoppers," and "nonshoppers" had worse dietary intake (for soda, calcium, dairy, fiber, and fat) than "traditional shoppers."

conclusionsThese findings highlight unique patterns in food shopping and associated dietary patterns that could inform tailoring of nutrition interventions for college students. Additional research is needed to understand modifiable contextual influences of healthy food shopping.

Indexed as

BehaviorDietStudentsAdolescentAdultCalcium, DietaryCarbonated BeveragesCross-Sectional StudiesDairy ProductsDietary FatsDietary FiberDietary SucroseFast FoodsFeeding BehaviorFemaleFood PreferencesCalcium, DietaryDietary FatsDietary FiberDietary SucroseCollege studentsEating behaviorsFood shopping

Identifiers

PMID25704262
PMCPMC4484312
OpenAlexW2019594251

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.