Evidence map›Paper›PMID 41418915›Full record

ArticleAppetite2026

Habits at home: How the home food environment shapes caregivers' eating habits.

Demetria R Pizano, Camille Schneider-Worthington, Sarah-Jeanne Salvy, Alanis Stansberry, Andrea L Davis, Gareth R Dutton

Abstract read
In one paragraph

Article in Appetite, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

6 authors.

Demetria R PizanoUniversity of Alabama at Birmingham, Department of Psychology, 1300 University Blvd., Birmingham, AL, 35233, USA; University of Alabama at Birmingham, Department of Medicine, Division of General Internal Medicine and Population Science, 1717 11th Avenue South, Birmingham, AL 35205, USA. Electronic address: dpizano@uab.edu.
Camille Schneider-WorthingtonUniversity of Alabama at Birmingham, Department of Medicine, Division of General Internal Medicine and Population Science, 1717 11th Avenue South, Birmingham, AL 35205, USA.
Sarah-Jeanne SalvyCedars-Sinai Medical Center, Samuel Oschin Comprehensive Cancer Institute, 700 N. San Vicente Blvd., West Hollywood, CA, 90069, USA.
Alanis StansberryUniversity of Alabama at Birmingham, Department of Medicine, Division of General Internal Medicine and Population Science, 1717 11th Avenue South, Birmingham, AL 35205, USA; University of Alabama at Birmingham, Department of Nutrition Sciences, 1675 University Blvd, Birmingham, AL, 35233, USA.
Andrea L DavisUniversity of Alabama at Birmingham, Department of Psychology, 1300 University Blvd., Birmingham, AL, 35233, USA; University of Alabama at Birmingham, Department of Medicine, Division of General Internal Medicine and Population Science, 1717 11th Avenue South, Birmingham, AL 35205, USA.
Gareth R DuttonUniversity of Alabama at Birmingham, Department of Medicine, Division of General Internal Medicine and Population Science, 1717 11th Avenue South, Birmingham, AL 35205, USA.

Funding

Why is the prevalence of obesity so high in U.S. Southern States? Regional predictors of BMI and obesity treatment response.P30DK056336 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BARBARA A GOWER · 2000 to 2026
$31.9M
Investigator Development CoreP50MD017338 · NIMHD · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BASKIN, MONICA L. · 2021 to 2025
$27.7M
Project 2: Leveraging Ongoing Home Visitation Programs to Address Obesity Disparities among Underserved, Low-Income Mothers and ChildrenU54MD000502 · NIMHD · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI SALVY, SARAH-JEANNE · 2017 to 2022
$11.8M
UAB Pre-Doctoral Training Program in Obesity-Related ResearchT32HL105349 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BARBARA A GOWER · 2010 to 2026
$5.7M
Evaluating environmental control (AVOID) and inhibitory control (RESIST) strategies to improve weight management outcomesR01DK130851 · NIDDK · CEDARS-SINAI MEDICAL CENTER · PI Sarah-Jeanne Salvy · 2022 to 2026
$3.5M
In-home obesity prevention to reach low-income infants through maternal and social transmissionR01HD092483 · NICHD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI DE LA HAYE, KAYLA, SALVY, SARAH-JEANNE · 2017 to 2021
$2.7M
Use of early time-restricted eating to promote weight loss and improve cardiometabolic health in postpartum womenK23HD108345 · NICHD · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Camille Schneider Worthington · 2024 to 2026
$372k
NHLBI NIH HHS T32 HL105349NICHD NIH HHS K23 HD108345NICHD NIH HHS R01 HD092483NIDDK NIH HHS P30 DK056336NIDDK NIH HHS R01 DK130851NIMHD NIH HHS P50 MD017338NIMHD NIH HHS U54 MD000502
6 · The paper itself

Abstract

backgroundSeventy percent of caloric intake comes from foods prepared at home, suggesting it is a powerful influence on food consumption. Consistent environmental cues triggering food consumption, including those in the home food environment (HFE), may promote habit formation. Despite the HFE's influence, there is a limited understanding of the association between the HFE and habits for consuming specific dietary items. This study examines the relationships between HFE and habit strength.

methodThis secondary analysis leverages data from a maternal-child obesity intervention trial (HABITS) to examine the relationships between the availability of fruits, vegetables, fried foods, and sugar-sweetened beverages (SSB) in the home and the habit strength of consuming these items. Caregivers (N = 148) completed HFE, habit strength, and demographic questionnaires at baseline. Majority of caregivers identified as female (99.3 %), Black or African American (76.4 %), and had an annual income < $30,000. Multiple linear regression models assessed the relationships between the availability of foods in the home and habit strength for consuming those items.

resultsThe total number of fruits and vegetables in the HFE was associated with habit strength for fruit (β = .216, p = .009) and vegetable intake (β = .179, p = .030). Similarly, fried food items at home were associated with fried food habit score (β1 = 0.269, p = .028). SSB in the HFE did not predict habit strength for SSB consumption (β1 = 0.187, p = .184). DISCUSSION: Our research suggests that available food items in the home were significantly associated with habit strength for consuming those items. These results support public health initiatives to identify practical approaches to improving health behaviors within households.

Indexed as

CaregiversDietFeeding BehaviorHome EnvironmentAdultChildFemaleFruitHumansMaleMiddle AgedSugar-Sweetened BeveragesSurveys and QuestionnairesVegetablesFood environmentFried foodsFruitHabitsHome food environmentSugar-sweetened beveragesVegetables

Identifiers

PMID41418915
PMCPMC13135706

What OpenQuestion holds

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Registered trials

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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.