Combining Life History Calendars and Ecological Momentary Assessment for Evaluating Everyday Stress and Its Impact on Mental Health in Healthy Adults: Longitudinal Study

Stress is a well-established risk factor for a range of negative health outcomes, making the longitudinal assessment of everyday stress increasingly important. This study tested the feasibility of combining a prospective assessment of stress responses using Ecological Momentary Assessment (EMA) with a retrospective evaluation of stressors via a Life History Calendar (LHC). It also examined how different operationalizations of stress components-reactivity, recovery, and pileup-using various intra-individual baselines influenced stressor count, mental health symptoms, and trait anxiety. A sample of 165 adults (50.9% female; M age = 24.91 years, SD = 4.61) was followed over six months. Stress responses were assessed prospectively via EMA, administered three times daily, and stressor exposure was retrospectively captured using the LHC. We computed indices of stress reactivity, recovery, and pileup using three baseline types: local (1-week and 2-week periods prior to a stressor episode) and a cumulative average of all prior stressor-free weeks. Hierarchical multiple regression analyses examined associations between these indices and changes in mental health symptoms and trait anxiety. Combining EMA and LHC methods to assess stress components was feasible. Baseline choice influenced both stressor episode counts and the associations between stress components and mental health outcomes. Stress reactivity and pileup, based on both local and cumulative baselines, were consistently associated with increases in mental health symptoms. Only one operationalisation of stress recovery was linked to changes in symptoms. Trait anxiety was not associated with any stress component, except for pileup when using a 1-week local baseline. These findings support the feasibility of integrating EMA and LHC methods to assess stress dynamics. Different baseline definitions yield distinct results, highlighting the importance of carefully selecting baseline parameters in stress research. This has important implications for designing and refining future studies on stress and health.

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Journal
Stress and Health
Published
2025-11-27
DOI
https://doi.org/10.1002/smi.70128
Primary Topic
Mental Health Research Topics
Type
article
Field-Weighted Citation Impact
0.00

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article

Combining Life History Calendars and Ecological Momentary Assessment for Evaluating Everyday Stress and Its Impact on Mental Health in Healthy Adults: Longitudinal Study

Miquel Tortella‐Feliu, Joaquim Raduà, Lydia Fortea, Alexander J. Shackman et al.
Stress and Health
Mental Health Research Topics
article

Combining Life History Calendars and Ecological Momentary Assessment for Evaluating Everyday Stress and Its Impact on Mental Health in Healthy Adults: Longitudinal Study

Miquel Tortella‐Feliu, Joaquim Raduà, Lydia Fortea, Alexander J. Shackman, Carles Soriano‐Mas, Miquel À. Fullana, Asier Juaneda‐Seguí, P. Chavarría-Elizondo, Víctor De la Peña‐Arteaga, Ignacio Martínez‐Zalacaín, Enric Vilajosana
article en

Abstract

Stress is a well-established risk factor for a range of negative health outcomes, making the longitudinal assessment of everyday stress increasingly important. This study tested the feasibility of combining a prospective assessment of stress responses using Ecological Momentary Assessment (EMA) with a retrospective evaluation of stressors via a Life History Calendar (LHC). It also examined how different operationalizations of stress components-reactivity, recovery, and pileup-using various intra-individual baselines influenced stressor count, mental health symptoms, and trait anxiety. A sample of 165 adults (50.9% female; M age = 24.91 years, SD = 4.61) was followed over six months. Stress responses were assessed prospectively via EMA, administered three times daily, and stressor exposure was retrospectively captured using the LHC. We computed indices of stress reactivity, recovery, and pileup using three baseline types: local (1-week and 2-week periods prior to a stressor episode) and a cumulative average of all prior stressor-free weeks. Hierarchical multiple regression analyses examined associations between these indices and changes in mental health symptoms and trait anxiety. Combining EMA and LHC methods to assess stress components was feasible. Baseline choice influenced both stressor episode counts and the associations between stress components and mental health outcomes. Stress reactivity and pileup, based on both local and cumulative baselines, were consistently associated with increases in mental health symptoms. Only one operationalisation of stress recovery was linked to changes in symptoms. Trait anxiety was not associated with any stress component, except for pileup when using a 1-week local baseline. These findings support the feasibility of integrating EMA and LHC methods to assess stress dynamics. Different baseline definitions yield distinct results, highlighting the importance of carefully selecting baseline parameters in stress research. This has important implications for designing and refining future studies on stress and health.

Stress and HealthVol. 41(6)
Neurosciences Institute (US), Instituto de Salud Carlos III (ES), Hospital de Sant Pau (ES), Bellvitge University Hospital (ES), Institut d'Investigació Biomédica de Bellvitge (ES), Centro de Investigación Biomédica en Red de Salud Mental (ES), Hospital Clínic de Barcelona (ES), Research Institute of Health Sciences (ES), Cognitive Neuroimaging Lab (FR), Consorci Institut D'Investigacions Biomediques August Pi I Sunyer (ES), Medical Research Network (US), Institut de Recerca Sant Pau (ES), Universitat de les Illes Balears (ES), University of Maryland, College Park (US), Universitat de Barcelona (ES)
Ministerio de Ciencia, Innovación y Universidades, Centres de Recerca de Catalunya, European Commission, Generalitat de Catalunya, Ministerio de Ciencia e Innovación, Universitat de Barcelona, National Institutes of Health, Agència de Gestió d'Ajuts Universitaris i de Recerca, Instituto de Salud Carlos III, European Regional Development Fund, Departament de Salut, Generalitat de Catalunya
Openalex Percentile: Top 61%
Mental Health Research Topics
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