Evidence map›Paper›PMID 26938555›Full record

Trial reportNutrients2016

A Pre and Post Survey to Determine Effectiveness of a Dietitian-Based Nutrition Education Strategy on Fruit and Vegetable Intake and Energy Intake among Adults.

Dhandevi Pem, Suress Bhagwant, Rajesh Jeewon

Abstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Nutrients, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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.

Dhandevi PemDepartment of Health Sciences, Faculty of Science, University of Mauritius, Réduit 80837, Mauritius. dhandevi.pem@gmail.com.
Suress BhagwantDepartment of Marine & Ocean Science, Fisheries & Mariculture, Faculty of Ocean Studies, University of Mauritius, Réduit 80837, Mauritius. shyamb@uom.ac.mu.
Rajesh JeewonDepartment of Health Sciences, Faculty of Science, University of Mauritius, Réduit 80837, Mauritius. r.jeewon@uom.ac.mu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of the study was to evaluate the effectiveness of a multicomponent nutrition education program among adults. A pretest-posttest design was used assessing Nutritional Knowledge (NK), BMI, Energy Intake (EI), Physical Activity Level (PAL), Dietary Intake (DI) and attitudes. 353 adults aged 19-55 years (178 control group (CG) and 175 intervention group (IG)) were recruited. IG participants attended nutrition education sessions evaluated through a post-test given at the end of the 12-week program. Statistical tests performed revealed that compared to CG, participants in IG increased fruit intake and decreased intake of snacks high in sugar and fat significantly (p < 0.05). NK and attitudinal scores also increased significantly in the IG (p < 0.05). No intervention effect was found for vegetables intake, EI, BMI and PAL (p > 0.05). Factors influencing NK were age, gender and education level. "Taste" was the main barrier to the application of the nutrition education strategy. Findings are helpful to health practitioners in designing their intervention programs.

Indexed as

DietEnergy IntakeFruitHealth BehaviorHealth Knowledge, Attitudes, PracticeNutritionistsPatient Education as TopicVegetablesAdultAgedAge FactorsDiet RecordsEducational StatusFeeding BehaviorFemaleFood Preferencesbody mass indexenergy intakefruit and vegetablenutrition knowledge

Identifiers

PMID26938555
PMCPMC4808857

What OpenQuestion holds

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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.