Evidence map›Paper›PMID 35233712›Full record

ReviewCurrent nutrition reports2022

Weight Gain Recommendations for Athletes and Military Personnel: a Critical Review of the Evidence.

D Enette Larson-Meyer, Reilly K Krason, Lindsey M Meyer

Erratum issuedOpen access · greenAbstract readReview
PubMed Publisher
In one paragraph

Review in Current nutrition reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.9field-weighted citation impact, top 31% 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

0 citing papers in PubMed, 9 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

D Enette Larson-MeyerDepartment of Human Nutrition, Foods, and Exercise, Virginia Tech, 295 West Campus Drive, Wallace Hall Suite 266, Blacksburg, VA 24061, USA. enette@vt.edu.ORCID http://orcid.org/0000-0001-9695-5474
Reilly K KrasonDepartment of Human Nutrition, Foods, and Exercise, Virginia Tech, 295 West Campus Drive, Wallace Hall Suite 266, Blacksburg, VA 24061, USA.
Lindsey M MeyerHealth and Human Performance Department, University of Montana Billings, Billings, MA 59101, USA.
Virginia Tech · USMontana State University Billings · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewSports nutrition guidelines typically state that athletes desiring weight gain follow a regimen that includes increasing energy intake by ~ 300-500 kcal/day with an emphasis on adequate protein and carbohydrate and judicious inclusion of energy-dense foods, in combination with rigorous resistance training. This regimen is thought to promote weekly gains of ~ 0.45 kg (1 lb), mostly as lean body mass (LBM). This review summarizes the evidence supporting these intentional weight gain regimens in athletes. RECENT

findingsAlthough some research has been conducted in the past 5 years, research on intentional weight gain is lacking. Currently, available data suggests that weekly weight gain of 0.45 kg (1 lb), primarily as LBM, may be difficult for some athletes to achieve. Available evidence, however, suggests that commonly recommended strategies to promote calorie surplus, including consuming larger portions, incorporating energy-dense foods, and prioritizing liquid over solid foods, may prove helpful.

Indexed as

Military PersonnelAthletesBody CompositionEnergy IntakeHumansWeight GainCalorie surplusCarbohydrate supplementationEnergy densityEnergy surplusHypercaloric intakeIntentional weight gainLiquid mealMeal frequencyMuscle hypertrophy, Resistance exerciseProtein supplementation

Identifiers

PMID35233712
OpenAlexW4214641083

What OpenQuestion holds

Textmetadata
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.