Evidence map›Paper›PMID 32405916›Full record

ArticleInternational journal of behavioral medicine2020

Physiometrics in Salivary Bioscience.

Suzanne C Segerstrom

Abstract read
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In one paragraph

Article in International journal of behavioral medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Salivary Bioscience and the Future of Behavioral Medicine.International journal of behavioral medicine · 2020
    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

1 author.

Suzanne C SegerstromDepartment of Psychology, University of Kentucky, 125 Kastle Hall, Lexington, KY, 40506-0044, USA. segerstrom@uky.edu.ORCID https://orcid.org/0000-0002-4020-111X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccurate estimation in statistical models depends on sample size but also, critically, reliability of the measure. Physiometrics is the equivalent of psychometrics for measures such as sex hormones, catabolic hormones, and products of the immune system.

methodThere are multiple ways to measure physiometrics, from simple correlation to complex generalizability theory designs. Depending on the design, these estimates can provide information about equivalency (e.g., the correlation between two measurements taken close together in time) or stability (e.g., the correlation between two measurements taken farther apart in time).

resultsThe physiometrics of salivary measures including cortisol, α-amylase, testosterone, and cytokines range from highly stable, requiring only a single sample, to highly unstable, requiring multiple samples to achieve generalizability to longer periods of time. However, generalizability is relative to the study design, and only some designs call for stable and generalizable measures.

conclusionBoth dedicated physiometric studies and more reporting of physiometrics in psychoneuroendocrinology and psychoneuroimmunology will improve the quality of salivary bioscience study designs in the future.

Indexed as

HumansHydrocortisoneReproducibility of ResultsResearch DesignSalivaTestosteroneHydrocortisoneTestosteroneCortisolCytokineGeneralizabilityReliabilityTestosterone

Identifiers

PMID32405916

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.