Evidence map›Paper›PMID 32203107›Full record

ArticleInternational journal of obesity (2005)2020

Change in eating pattern as a contributor to energy intake and weight gain during the winter holiday period in obese adults.

Surabhi Bhutani, Nicole Wells, Graham Finlayson, Dale A Schoeller

Open access · greenAbstract read
In one paragraph

Article in International journal of obesity (2005), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
4.5field-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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Article
  6. Observational
  7. Article
  8. Article
  9. Article
  10. Secular trends and determinants ofFrontiers in nutrition · 2024
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  12. How do 24-h movement behaviours change during and after vacation? A cohort study.The international journal of behavioral nutrition and physical activity · 2023
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  13. Review
  14. Review
  15. Article
  16. "Stay-at-Home" Lifestyle Effect on Weight Gain during the COVID-19 Outbreak Confinement in China.International journal of environmental research and public health · 2021
    Article
  17. Article
  18. 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

4 authors at 3 institutions in 2 countries.

Surabhi BhutaniSchool of Exercise and Nutritional Sciences, San Diego State University, San Diego, CA, 92182, USA. sbhutani@sdsu.edu.
Nicole WellsSchool of Exercise and Nutritional Sciences, San Diego State University, San Diego, CA, 92182, USA.
Graham FinlaysonSchool of Psychology, Faculty of Medicine & Health, University of Leeds, Leeds, West Yorkshire, LS2 9JT, UK.
Dale A SchoellerDepartment of Nutritional Sciences, University of Wisconsin, Madison, WI, 53706, USA.
San Diego State University · USUniversity of Leeds · GBUniversity of Wisconsin–Madison · US

Funding

University of Wisconsin Institute for Clinical and Translational ResearchUL1TR002373 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI ELIZABETH S BURNSIDE, Allan R. Brasier · 2017 to 2026
$75.9M
TRAINING IN NUTRITIONT32DK007665 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI GUY E GROBLEWSKI, Chi- Liang Eric Yen · 1993 to 2026
$9.2M
NCATS NIH HHS UL1 TR002373NIDDK NIH HHS T32 DK007665
6 · The paper itself

Abstract

BACKGROUND/

objectivesThe winter holiday season in the United States, which spans mid-November to mid-January, contributes to over half of annual body weight gain. Although self-reported data have linked this weight change to both increased energy intake and reduced physical activity, objective techniques have never been used; and thus, the actual cause of holiday weight gain is controversial. Here, we aimed to determine changes in components of energy balance leading to the holiday weight gain.

methodsBody weight change was compared between the pre-holiday (mid-September to mid-November) and the holiday period (mid-November to early January). Total energy expenditure (TEE) was measured using doubly labeled water during holiday time (early to mid-December). Subjective (ratings) and physiological (appetite-regulating hormones) measures of appetite, eating-away-from-home frequency, and incentive salience of food pictures were also evaluated.

resultsIn 23 obese adults (87% female), body weight change during the holidays (0.41 ± 0.42 kg) was significantly higher (P = 0.02) than the body weight change during the pre-holiday period (-0.86 ± 0.42 kg). TEE was unchanged during the two periods, suggesting no role of energy expenditure on weight gain. However, participants reported lower satisfaction after a meal pre-load which was significantly correlated with increased body weight during the holiday period. An increase in number of episodes of eating at sit-down restaurants was also reported during that period. Overall, these changing behaviors were supported by a non-significant increase in energy intake (+80 kcal/day, P = 0.07) observed during the study holiday period.

conclusionWe conclude that a decrease in energy expenditure does not result in the weight increase, but that increase in food intake is the more likely cause. Our data imply that compromised internal satiety mechanisms in presence of external food cues and diet-related behavioral variables during the holidays may influence weight gain.

Indexed as

Energy IntakeFeeding BehaviorHolidaysObesityWeight GainAdultAnthropometryEnergy MetabolismFemaleHumansLongitudinal StudiesMaleSeasonsSurveys and QuestionnairesWisconsin

Identifiers

PMID32203107
PMCPMC7332403
OpenAlexW3012370603

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.