ReviewComputational and mathematical methods in medicine2018
A Practical Guide to Analyzing Time-Varying Associations between Physical Activity and Affect Using Multilevel Modeling.
Review in Computational and mathematical methods in medicine, 2018. 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.
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.
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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.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Within-person association between affect and physical activity related to depressive symptomatology: A systematic review and methodological reflections.Applied psychology. Health and well-being · 2025Pooled it
- Emotion regulation variability and chronic pain: An ecological momentary assessment study.Behaviour research and therapy · 2026Article
- Computational network models for forecasting and control of mental health trajectories in digital applications.NPJ digital medicine · 2025Article
- Combining Life History Calendars and Ecological Momentary Assessment for Evaluating Everyday Stress and Its Impact on Mental Health in Healthy Adults: Longitudinal Study.Stress and health : journal of the International Society for the Investigation of Stress · 2025Article
- Unraveling the interplay between daily life fatigue and physical activity after subarachnoid hemorrhage: an ecological momentary assessment and accelerometry study.Journal of neuroengineering and rehabilitation · 2023Observational
- Does laughing have a stress-buffering effect in daily life? An intensive longitudinal study.PloS one · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There is growing interest in within-person associations of objectively measured physical and physiological variables with psychological states in daily life. Here we provide a practical guide with SAS code of multilevel modeling for analyzing physical activity data obtained by accelerometer and self-report data from intensive and repeated measures using ecological momentary assessments (EMA). We review previous applications of EMA in research and clinical settings and the analytical tools that are useful for EMA research. We exemplify the analyses of EMA data with cases on physical activity data and affect and discuss the future challenges in the field.
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Registered trials
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.