Evidence map›Paper›PMID 34969314›Full record

ArticleAssessment2023

Development and Validation of a Smartphone-Based App for the Longitudinal Assessment of Anxiety in Daily Life.

Lydia Fortea, Miquel Tortella-Feliu, Asier Juaneda-Seguí, Víctor De la Peña-Arteaga, Pamela Chavarría-Elizondo, Laia Prat-Torres, Carles Soriano-Mas, Sean P Lane, Joaquim Radua, Miquel A Fullana

Open access · greenAbstract read
In one paragraph

Article in Assessment, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 19% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Temporal relationships between distress and pain in people living with HIV.medRxiv : the preprint server for health sciences · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. 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

10 authors at 6 institutions in 4 countries.

Lydia ForteaInstitut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain.ORCID 0000-0001-6778-2316
Miquel Tortella-FeliuUniversity of the Balearic Islands, Mallorca, Spain.
Asier Juaneda-SeguíInstituto de Salud Carlos III, Madrid, Spain.
Víctor De la Peña-ArteagaUniversity of Barcelona, Spain.
Pamela Chavarría-ElizondoInstituto de Salud Carlos III, Madrid, Spain.
Laia Prat-TorresBellvitge Biomedical Research Institute, Barcelona, Spain.
Carles Soriano-MasInstituto de Salud Carlos III, Madrid, Spain.
Sean P LanePurdue University, West Lafayette, IN, USA.
Joaquim RaduaInstitut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain.
Miquel A FullanaInstitut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain.ORCID 0000-0003-3863-5223
Instituto de Salud Carlos III · ESInstitut d'Investigació Biomédica de Bellvitge · ESKing's College London · GBPurdue University West Lafayette · USUniversitat Autònoma de Barcelona · ESUniversitat de les Illes Balears · ES

Funding

Toward a Generalized Framework and Flexible Software Environment for Power Analysis of Alcohol Treatment Randomized Controlled TrialsR01AA027264 · NIAAA · UNIVERSITY OF MISSOURI-COLUMBIA · PI HENNES, ERIN, LANE, SEAN P · 2018 to 2022
$3.4M
NIAAA NIH HHS R01 AA027264
6 · The paper itself

Abstract

Current methods to assess human anxiety often ignore that anxiety is a dynamic process and have limitations such as high recall bias and low generalizability to real life. Smartphone apps using ecological momentary assessment (EMA) may overcome such limitations. We developed a smartphone app for the longitudinal evaluation of anxiety symptoms using EMA. We assessed the feasibility (retention and compliance) and psychometric properties (reliability and validity) of the app over 6 months in a sample of 99 participants with different levels of anxiety. The EMA-based smartphone app was highly feasible. It showed excellent within-person and between-person reliability, high convergent and moderate discriminant validity, and significant incremental validity. Assessing anxiety longitudinally using a smartphone and following EMA principles is feasible and can be reliable and valid. Studies combining EMA-based anxiety longitudinal assessments with other assessment methods deserve further research and may offer novel insights into human anxiety.

Indexed as

Mobile ApplicationsAnxietyAnxiety DisordersHumansReproducibility of ResultsSmartphoneanxietyappecological momentary assessmentpsychometricssmartphone

Identifiers

PMID34969314
PMCPMC9301625
OpenAlexW4206110646

What OpenQuestion holds

Textmetadata
LicenceTDM
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.