Evidence map›Paper›PMID 35586701›Full record

ArticlePsychology research and behavior management2022

The Effect of a Telehealth Intervention on Mother-Child's Feeding Interactions During the COVID-19 Pandemic.

Silvia Cimino, Luca Cerniglia

Open access · goldAbstract read
In one paragraph

Article in Psychology research and behavior management, 2022. 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
1.0field-weighted citation impact, top 26% 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, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
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

2 authors at 2 institutions in 1 country.

Silvia CiminoDepartment of Dynamic, Clinical, and Health Psychology, Sapienza, University of Rome, Rome, Italy.
Luca CernigliaFaculty of Psychology, International Telematic University Uninettuno, Rome, Italy.ORCID 0000-0002-6115-288X
Sapienza University of Rome · ITUniNettuno University · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study evaluated the outcomes of a telehealth intervention aimed at enhancing exchanges in mother-child dyads who showed an impoverishment of the quality of their feeding interactions and a worsening of their psychopathological symptoms during the COVID-19 pandemic. Methods: N=334 mothers and their three-year-old children were recruited to assess their feeding interactions through an observational tool administered via a web platform, and maternal and offspring psychopathological symptoms were measured through the SCL/90-R and the CBCL 1.5-5. This study constitutes the third wave (T3) of a longitudinal research. Results: Our results showed that the intervention significantly improved the quality of mother-child feeding interactions. Moreover, mothers' psychopathological symptoms reduced after the intervention, especially in the interpersonal sensitivity, hostility, depression, anxiety, and obsessive-compulsive-compulsive subscales; offspring emotional/behavioral functioning and dysregulation symptoms also decreased, particularly in the subscales of withdrawn anxious/depressed attention problems and aggressive behavior. Conclusion: This study adds knowledge to the literature on COVID-19 pandemic effects on psychological health of parents and young children, proposing a method of intervention that had been effectively adopted previously but whose effectiveness had not been investigated during the pandemic.

Indexed as

COVID-19 pandemicearly childhoodmother–child interactionspsychopathological symptomstelehealth intervention

Identifiers

PMID35586701
PMCPMC9109732
OpenAlexW4280518810

What OpenQuestion holds

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LicenceCC BY-NC
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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.