Evidence map›Paper›PMID 37049526›Full record

SynthesisNutrients2023

Indirect Calorimetry to Measure Metabolic Rate and Energy Expenditure in Psychiatric Populations: A Systematic Review.

Joshua Daniel Di Vincenzo, Liam O'Brien, Ira Jacobs, Muhammad Youshay Jawad, Felicia Ceban, Shakila Meshkat, Hartej Gill, Aniqa Tabassum, Lee Phan, Sebastian Badulescu and 3 more

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 22% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. A Smart Headband for Multimodal Physiological Monitoring in Human Exercises.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  3. Article
  4. Article
  5. 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

13 authors at 2 institutions in 1 country.

Joshua Daniel Di VincenzoMood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON M5T 2S8, Canada.
Liam O'BrienFaculty of Kinesiology and Physical Education, University of Toronto, Toronto, ON M5S 2W6, Canada.ORCID 0000-0002-3911-0843
Ira JacobsFaculty of Kinesiology and Physical Education, University of Toronto, Toronto, ON M5S 2W6, Canada.
Muhammad Youshay JawadMood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON M5T 2S8, Canada.
Felicia CebanMood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON M5T 2S8, Canada.
Shakila MeshkatMood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON M5T 2S8, Canada.
Hartej GillMood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON M5T 2S8, Canada.
Aniqa TabassumMood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON M5T 2S8, Canada.ORCID 0000-0003-2928-6711
Lee PhanMood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON M5T 2S8, Canada.ORCID 0000-0001-8183-0265
Sebastian BadulescuMood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON M5T 2S8, Canada.
Joshua Daniel RosenblatMood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON M5T 2S8, Canada.ORCID 0000-0002-4773-2191
Roger S McIntyreMood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON M5T 2S8, Canada.
Rodrigo B MansurMood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON M5T 2S8, Canada.
University Health Network · CAUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Psychiatric and metabolic disorders are highly comorbid and the relationship between these disorders is bidirectional. The mechanisms underlying the association between psychiatric and metabolic disorders are presently unclear, which warrants investigation into the dynamics of the interplay between metabolism, substrate utilization, and energy expenditure in psychiatric populations, and how these constructs compare to those in healthy controls. Indirect calorimetry (IC) methods are a reliable, minimally invasive means for assessing metabolic rate and substrate utilization in humans. This review synthesizes the extant literature on the use of IC on resting metabolism in psychiatric populations to investigate the interaction between psychiatric and metabolic functioning. Consistently, resting energy expenditures and/or substrate utilization values were significantly different between psychiatric and healthy populations in the studies contained in this review. Furthermore, resting energy expenditure values were systematically overestimated when derived from predictive equations, compared to when measured by IC, in psychiatric populations. High heterogeneity between study populations (e.g., differing diagnoses and drug regimens) and methodologies (e.g., differing posture, time of day, and fasting status at measurement) impeded the synthesis of results. Standardized IC protocols would benefit this line of research by enabling meta-analyses, revealing trends within and between different psychiatric disorders.

Indexed as

Energy MetabolismMental DisordersBasal MetabolismCalorimetryCalorimetry, IndirectHumansRestbipolardepressionmetabolismrespiratory exchange ratiorespiratory quotientschizophreniasubstrate utilization

Identifiers

PMID37049526
PMCPMC10096641
OpenAlexW4361267448

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.