In this paper we introduce a new Android library, called ULTEMAT, for the delivery of ecological momentary assessments (EMAs) on mobile devices and we present its use in the MoodBuster app developed in the H2020 E-COMPARED project. We discuss context-aware, or event-based, triggers for the presentation of EMAs and discuss the potential they have to improve the effectiveness of mobile provision of mental health interventions as they allow for the delivery of assessments to the patients when and where these are most appropriate. Following this, we present the abilities of ULTEMAT to use such context-aware triggers to schedule EMAs and we discuss how a similar approach can be used for Ecological Momentary Interventions (EMIs).

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6096290PMC
http://dx.doi.org/10.1016/j.invent.2017.07.001DOI Listing

Publication Analysis

Top Keywords

ecological momentary
12
momentary assessments
8
emas discuss
8
ultemat mobile
4
mobile framework
4
framework smart
4
smart ecological
4
assessments interventions
4
interventions paper
4
paper introduce
4

Similar Publications

Background: Previous research has highlighted the multifactorial nature of awake bruxism (AB), including its associations with stress, anxiety and other psychological factors. Dispositional mindfulness, known for its benefits in enhancing emotional regulation and reducing stress, has not yet been thoroughly investigated in association with AB.

Objective: This study aimed to investigate whether levels of dispositional mindfulness predict the efficacy of ecological momentary intervention (EMI) in reducing the frequency of AB behaviours.

View Article and Find Full Text PDF

Background: Innovative treatments for paranoia, which significantly impairs social functioning in schizophrenia (SCZ), are urgently needed. The pathophysiology of paranoia implicates the amygdala-prefrontal (PFC) circuits; thus, this study systematically investigated whether transcranial direct current stimulation (tDCS) to the ventrolateral PFC can attenuate paranoia and improve social functioning in SCZ.

Methods: A double-blind, within-subjects, crossover design was used to compare active vs.

View Article and Find Full Text PDF

A sensor-based study on the environmental determinants of sleep in older adults.

Environ Res

January 2025

Sorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, 75012 Paris, France.

Introduction: The residential environment is hypothesized to influence sleep quality within urban settings. Factors associated with the residential environment include air and noise pollution, area socioeconomic status, green and blue spaces, and other neighborhood features. This study seeks to quantify the association of selected environmental factors with sleep quality in the daily lives of 211 older adults residing in the Paris metropolitan area with sensor-based methods.

View Article and Find Full Text PDF

In this tutorial, we introduce the reader to analyzing ecological momentary assessment (EMA) data as applied in psychological sciences with the use of Bayesian (generalized) linear mixed-effects models. We discuss practical advantages of the Bayesian approach over frequentist methods and conceptual differences. We demonstrate how Bayesian statistics can help EMA researchers to (a) incorporate prior knowledge and beliefs in analyses, (b) fit models with a large variety of outcome distributions that reflect likely data-generating processes, (c) quantify the uncertainty of effect-size estimates, and (d) quantify the evidence for or against an informative hypothesis.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!