Evidence map›Paper›PMID 32889552›Full record

ArticleInternational journal of public health2020

Identifying factors associated with obesity traits in undergraduate students: a scoping review.

Rita E Morassut, Chenchen Tian, David Meyre

Abstract readScoping Review
PubMed Publisher
In one paragraph

Article in International journal of public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

3 authors.

Rita E MorassutDepartment of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada.
Chenchen TianDepartment of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada.
David MeyreDepartment of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada. meyred@mcmaster.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis scoping review identifies factors associated with obesity traits including body mass index, weight, and body fat percentage in undergraduate students.

methodsWe searched CINAHL, EMBASE, MEDLINE, and PsycINFO for original studies of undergraduate students where an obesity trait was associated with a risk factor.

resultsTwo-hundred sixty-eight articles were included comprising of 251 studies: 186 cross-sectional, 50 cohort, 11 interventional, and 4 qualitative. We extracted data on risk/protective factors, obesity traits, and the direction of effect between them. We identified a variety of factors including age, sex, ethnicity, socioeconomic status, religion, diet, eating habits, physical activity, sedentary activity, sleep, stress, university campus life, alcohol use, smoking, psychiatric disorders, body image, eating attitude, eating regulation, personality, sociocultural influences, and genetics. The majority of associations were cross-sectional. For longitudinal findings, usually only one study investigated each trait.

conclusionsThis review identifies a need for higher quality evidence to support results from cross-sectional studies and replication of findings of longitudinal studies. This review identifies gaps in the literature, generates hypotheses, guides researchers to plan future studies, and helps decision-makers design obesity-prevention programs in universities.

Indexed as

Body Mass IndexAdolescentAdultBody WeightCross-Sectional StudiesExerciseFemaleHumansMaleObesityRisk FactorsSocioeconomic FactorsStudentsUniversitiesYoung AdultFreshman fifteenObesityRisk factorsUndergraduate students

Identifiers

What OpenQuestion holds

Textmetadata
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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.