Evidence map›Paper›PMID 22582335›Full record

ArticlePsychosomatic medicine2012

Revealing causal heterogeneity using time series analysis of ambulatory assessments: application to the association between depression and physical activity after myocardial infarction.

Judith G M Rosmalen, Angela M G Wenting, Annelieke M Roest, Peter de Jonge, Elisabeth H Bos

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In one paragraph

Article in Psychosomatic medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 2 pooled it
7.5field-weighted citation impact, top 3% 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

33 citing papers in PubMed, 2 syntheses or guidelines pooled it, 98 citations in OpenAlex.

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  7. On the Role of Psychoneuroimmunology in Oral Medicine.International dental journal · 2022
    Review
  8. Article
  9. Continuous-Time Modeling of the Bidirectional Relationship Between Incidental Affect and Physical Activity.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Judith G M RosmalenDepartment of Psychiatry, University of Groningen, Groningen, The Netherlands.
Angela M G Wenting
Annelieke M Roest
Peter de Jonge
Elisabeth H Bos
University of Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveStudies in psychosomatic medicine are characterized by analyses that typically compare groups. This nomothetic approach leads to conclusions that apply to the average group member but not necessarily to individual patients. Idiographic studies start at the individual patient and are suitable to study associations that differ between time points or between individuals. We illustrate the advantages of the idiographic approach in analyzing ambulatory assessments, taking the association between depression and physical activity after myocardial infarction as an example.

methodsFive middle-aged men who had myocardial infarction with mild to moderate symptoms of depression were included in this study. Four of these participants monitored their physical activity and depressive symptoms during a period of 2 to 3 months using a daily self-registration form. The time series of each individual participant were investigated using vector autoregressive modeling, which enables the analysis of temporal dynamics between physical activity and depression.

resultsWe found causal heterogeneity in the association between depression and physical activity. Participants differed in the predominant direction of effect, which was either from physical activity to depression (n = 1, 85 observations, unstandardized effect size = -0.183, p = .03) or from depression to physical activity (n = 2, 65 and 59 observations, unstandardized effect sizes = -0.038 and -0.381, p < .001 and p = .04). Also, the persistency of effects differed among individuals.

conclusionsVector autoregressive models are suitable in revealing causal heterogeneity and can be easily used to analyze ambulatory assessments. We suggest that these models might bridge the gap between science and clinical practice by translating epidemiological results to individual patients.

Indexed as

Models, StatisticalCausalityData Interpretation, StatisticalDepressionHumansMaleMiddle AgedMonitoring, AmbulatoryMotor ActivityMyocardial InfarctionPeriodicityPsychosomatic MedicineSelf ReportSeverity of Illness IndexTime Factors

Identifiers

PMID22582335
OpenAlexW2007424931

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.