Evidence map›Paper›PMID 33819527›Full record

ArticleAppetite2021

The influence of COVID-19-related stress on food motivation.

Kimberly R Smith, Elena Jansen, Gita Thapaliya, Anahys H Aghababian, Liuyi Chen, Jennifer R Sadler, Susan Carnell

Open access · greenAbstract read
In one paragraph

Article in Appetite, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.7field-weighted citation impact, top 5% 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

21 citing papers in PubMed, 36 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Kimberly R SmithDepartment of Psychiatry & Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA. Electronic address: Kimberly.smith@jhmi.edu.
Elena JansenDivision of Child & Adolescent Psychiatry, Department of Psychiatry & Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Gita ThapaliyaDivision of Child & Adolescent Psychiatry, Department of Psychiatry & Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Anahys H AghababianDivision of Child & Adolescent Psychiatry, Department of Psychiatry & Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Liuyi ChenDivision of Child & Adolescent Psychiatry, Department of Psychiatry & Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Jennifer R SadlerDivision of Child & Adolescent Psychiatry, Department of Psychiatry & Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Susan CarnellDivision of Child & Adolescent Psychiatry, Department of Psychiatry & Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Johns Hopkins University · US

Funding

The Developing Brain: Influences and OutcomesUH3OD023313 · OD · WOMEN AND INFANTS HOSPITAL-RHODE ISLAND · PI Viren Andrew D'Sa, Daphne Koinis Mitchell · 2018 to 2026
$20.7M
Impact of hypothalamic gliosis on appetite regulation and obesity risk in childrenR01DK117623 · NIDDK · UNIVERSITY OF WASHINGTON · PI SCHUR, ELLEN A · 2019 to 2023
$3.7M
Early Brain Development and Childhood ObesityR01DK113286 · NIDDK · WOMEN AND INFANTS HOSPITAL-RHODE ISLAND · PI CARNELL, SUSAN, D'SA, VIREN ANDREW · 2018 to 2023
$2.5M
NIDDK NIH HHS R01 DK113286NIDDK NIH HHS R01 DK117623NIH HHS UH3 OD023313
6 · The paper itself

Abstract

The COVID-19 pandemic and public health measures to reduce its transmission have increased stress. Stress is associated with alterations in eating behavior which may be partly driven by effects on food-related motivation. To investigate effects of COVID-related stress on food motivation, we recruited adults (N = 429; 272 F, 157 M) to complete an online survey via Amazon MTurk in May 2020. Current COVID-related stress, retrospective pre-COVID stress, and motivation in relation to individualized preferred foods from five categories (sweet snacks, fruit, savory snacks, vegetables, and fast food) were assessed. Food motivation measures included willingness to wait, willingness to expend low effort [finger taps], willingness to expend high effort [jumping jacks], and willingness to pay for hypothetical delivery of the food item. Food motivation for each food type was assessed using a novel instrument designed for brief assessment of multiple aspects of food motivation across multiple food types. Participants were willing to pay the most for fast food followed by sweet snacks, and willing to wait longer for sweet snacks relative to other food types. While fast food and sweets also generated the most willingness to expend high and low effort, willingness to expend low effort for fruit was similar to that for fast food and sweets, and willingness to expend high effort for fruit was comparable to that for fast food. Participants were least willing to pay or expend low effort for vegetables. Higher COVID-related stress levels were associated with willingness to expend more effort and pay more for food items. These data collected during the pandemic demonstrate that highly processed and sweet foods have high motivating value across multiple measures of motivation, and COVID-related stress increases food motivation across food categories. Interventions to mitigate stress and target the link between stress and overeating may help to limit the effects of the COVID-19 pandemic on obesity.

Indexed as

COVID-19MotivationAdultHumansPandemicsRetrospective StudiesSARS-CoV-2SnacksAppetiteCOVID-19Food motivationMental healthStress

Identifiers

PMID33819527
PMCPMC9190771
OpenAlexW3150923538

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.