Evidence map›Paper›PMID 38492044›Full record

ArticleActa diabetologica2024

Associations between continuous glucose monitoring (CGM) metrics and psycholinguistic measures: a correlational study.

Francesco Marchini, Andrea Caputo, Alessio Convertino, Chiara Giuliani, Olimpia Bitterman, Dario Pitocco, Riccardo Fornengo, Elisabetta Lovati, Elisa Forte, Laura Sciacca and 1 more

Open access · hybridAbstract readMulticenter Study
In one paragraph

Article in Acta diabetologica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

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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

11 authors at 8 institutions in 1 country.

Francesco MarchiniCentro Italiano Psicologia Analitica (CIPA), Rome, Italy. dott.marchinipsi@gmail.com.ORCID http://orcid.org/0000-0002-9305-0837
Andrea CaputoDepartment of Clinical, Dynamic and Health Psychology, Sapienza University of Rome, Rome, Italy.
Alessio ConvertinoUosd Immunopatologia e allergologia pediatrica, Policlinico Tor Vergata, Rome, Italy.
Chiara GiulianiSapienza University of Rome, Rome, Italy.
Olimpia BittermanASL Roma4, Diabetes Unit, San Paulo Hospital, Civitavecchia, Italy.
Dario PitoccoDiabetes Care Unit Fondazione Policlinico, Universitario Agostino Gemelli IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy.
Riccardo FornengoA.S.L. TO4, Chivasso (TO), Piedmont, Italy.
Elisabetta LovatiFondazione IRCCS Policlinico San Matteo, Endocrinology, Pavia, Italy.
Elisa ForteDiabetology Unit, ASL Latina, Latina, Italy.
Laura SciaccaDepartment of Clinical and Experimental Medicine, Endocrinology Section, University of Catania, Catania, Italy.
Angela NapoliIsraelititco Hospital, International Medical University "Unicamillus" Cdc "Santa Famiglia", Rome, Italy.
Sapienza University of Rome · ITASL Roma · ITCentro Diagnostico Italiano · ITPoliclinico San Matteo Fondazione · ITPoliclinico Tor Vergata · ITSaint Camillus International University of Health and Medical Sciences · ITUniversità Cattolica del Sacro Cuore · ITUniversity of Catania · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimRecently, the relationship between diabetes and mental health has been widely studied. With the advent of continuous glucose monitoring (CGM), some researchers have been interested in exploring the association between glucose-related metrics and psychological aspects. These studies have primarily relied on self-report questionnaires which present some limitations. Therefore, the present multicenter study aims at testing potential associations between CGM metrics and affective processes derived from narratives about using a CGM sensor.

methodsAn exploratory correlational design was used. Fifty-eight adults with type 1 diabetes using CGM were enrolled and invited to complete an online survey, where they replied to an open-ended question regarding their personal experience with the CGM sensor. Texts derived from the answers were analyzed through Linguistic Inquiry and Word Count, a widely used text analysis tool that can automatically identify and quantify linguistic patterns related to various psychological dimensions. Psycholinguistic measures were correlated with CGM metrics.

resultsHigher levels of sadness/depression correlated with lower %TIR (r = - 339; p < .01) and higher %TAR (r = .342; p < .01).

conclusionsThe study highlights the relationship between CGM metrics and psychological variables derived from patients' narratives. In particular, it is possible to hypothesize a positive role of %TIR in reducing depressive feelings in individuals with diabetes, as well as a negative role of depressive feelings in achieving desirable CGM outcomes. Additionally, there is a potential role of glycemic variability, particularly hyperglycemia, in the expression of depressive and sad feelings, which has been less studied compared to the effects of hypoglycemia.

Indexed as

Blood GlucoseBlood Glucose Self-MonitoringDiabetes Mellitus, Type 1AdultContinuous Glucose MonitoringDepressionFemaleHumansMaleMiddle AgedPsycholinguisticsSurveys and QuestionnairesYoung AdultBlood GlucoseCGMDepressionDiabetesEmotionsMoodPsychological

Identifiers

PMID38492044
PMCPMC11182795
OpenAlexW4392878549

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.