Evidence map›Paper›PMID 31216640›Full record

ArticleNutrients2019

Different and Unequal: A Qualitative Evaluation of Salient Factors Influencing Energy Intake in Adults with Overweight and Obesity.

Maria Carlota Dao, Ellen Messer, Teresa Conigliaro, Kylie Sakaida, Alexis F Ouellette, Victoria Himaras, Sophie Thiron, Susan B Roberts

Abstract readEvaluation Study
In one paragraph

Article in Nutrients, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trial
  2. 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

8 authors.

Maria Carlota DaoJean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA 02111, USA. Carlota.Dao@tufts.edu.ORCID 0000-0001-6284-7352
Ellen MesserFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA 02111, USA. Ellen.Messer@tufts.edu.
Teresa ConigliaroFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA 02111, USA. Teresa.Conigliaro@tufts.edu.
Kylie SakaidaJean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA 02111, USA. ksakaida@bu.edu.
Alexis F OuelletteJean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA 02111, USA. alouellette@gmavt.net.
Victoria HimarasJean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA 02111, USA. himarasv@merrimack.edu.
Sophie ThironInstitut de Recherche pour le Développement, 34060 Montpellier, France. sophie.thiron@wanadoo.fr.
Susan B RobertsJean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA 02111, USA. Susan.Roberts@tufts.edu.

Funding

Danone Research N/AInstitute of Cardiometabolism and Nutrition N/AU.S. Department of Agriculture 58-1950-4-003
6 · The paper itself

Abstract

Environmental factors such as food availability and variety can function as cues for overeating in individuals susceptible to overweight or obesity, but relatively little is known about other types of environmental factors that may also be important. This qualitative study compared and contrasted categories of internal and external cues through focus groups and key informant interviews with 24 adults (26 to 77 years old) in the United States who had a body mass index within the healthy range (21.6 ± 2.5 kg/m

Indexed as

AdultAgedCuesEatingEnergy IntakeEnvironmentFeeding BehaviorFemaleHumansHyperphagiaMaleMiddle AgedObesityOverweightQualitative Researcheating behaviorexternalityweight managementweight status

Identifiers

PMID31216640
PMCPMC6627170

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.