Evidence map›Paper›PMID 35755491›Full record

ArticleRevista de psiquiatria y salud mental

Digital mental health interventions for anxiety and depressive symptoms in university students during the COVID-19 pandemic: A systematic review of randomized controlled trials.

Ilaria Riboldi, Daniele Cavaleri, Angela Calabrese, Chiara Alessandra Capogrosso, Susanna Piacenti, Francesco Bartoli, Cristina Crocamo, Giuseppe Carrà

Abstract read
In one paragraph

Article in Revista de psiquiatria y salud mental. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 4 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

23 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

8 authors.

Ilaria RiboldiDepartment of Medicine and Surgery, University of Milano-Bicocca, via Cadore 48, 20900 Monza, Italy.
Daniele CavaleriDepartment of Medicine and Surgery, University of Milano-Bicocca, via Cadore 48, 20900 Monza, Italy.
Angela CalabreseDepartment of Medicine and Surgery, University of Milano-Bicocca, via Cadore 48, 20900 Monza, Italy.
Chiara Alessandra CapogrossoDepartment of Medicine and Surgery, University of Milano-Bicocca, via Cadore 48, 20900 Monza, Italy.
Susanna PiacentiDepartment of Medicine and Surgery, University of Milano-Bicocca, via Cadore 48, 20900 Monza, Italy.
Francesco BartoliDepartment of Medicine and Surgery, University of Milano-Bicocca, via Cadore 48, 20900 Monza, Italy.
Cristina CrocamoDepartment of Medicine and Surgery, University of Milano-Bicocca, via Cadore 48, 20900 Monza, Italy.
Giuseppe CarràDepartment of Medicine and Surgery, University of Milano-Bicocca, via Cadore 48, 20900 Monza, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

University students are particularly vulnerable to mental health issues, with anxiety and depression identified as the most common conditions. During the COVID-19 pandemic, social distancing, self-isolation, and difficulties linked to online teaching and learning have increased their burden of anxiety and depressive symptoms. Thus, the urgent need to intervene in favour of these vulnerable subjects, together with the difficulties in delivering in-person interventions because of lockdowns and restrictions, has led to prioritize digital mental health strategies. This study aimed at systematically reviewing the existing literature on digital mental health interventions targeting anxiety and depressive symptoms in university students during the COVID-19 emergency. Systematic searches of Medline, Embase, and PsycInfo databases identified eight randomized controlled trials. Regarding anxiety symptoms, digitally delivered cognitive behavioural therapy, dialectical behaviour therapy, and mind-body practice techniques emerged as valid strategies, while digital positive psychology and mindfulness-based interventions showed mixed results. On the other hand, digitally delivered dialectical behaviour therapy and positive psychology interventions have shown some efficacy in reducing depressive symptoms. Overall, the available literature, albeit of low quality, seems to support the role of digital interventions in promoting the mental health of university students during the COVID-19 pandemic.

Indexed as

AnxietyCOVID-19DepressionDigital mental health interventionsMental healthUniversity students

Identifiers

PMID35755491
PMCPMC9212872

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.