Evidence map›Paper›PMID 30684407›Full record

ArticleJMIR formative research2018

Time Series Visualizations of Mobile Phone-Based Daily Diary Reports of Stress, Physical Activity, and Diet Quality in Mostly Ethnic Minority Mothers: Feasibility Study.

W Scott Comulada, Dallas Swendeman, Roxana Rezai, Nithya Ramanathan

Open access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 25% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Review
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

4 authors at 2 institutions in 1 country.

W Scott ComuladaDepartment of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States.ORCID http://orcid.org/0000-0002-1340-6371
Dallas SwendemanDepartment of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States.ORCID http://orcid.org/0000-0002-4570-6352
Roxana Rezai *Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States.ORCID http://orcid.org/0000-0002-5614-9483
Nithya RamanathanNexleaf Analytics, Los Angeles, CA, United States.ORCID http://orcid.org/0000-0001-6807-5074
University of California, Los Angeles · USNexleaf Analytics · US

Funding

UCLA Rapid, Relevant, Rigorous Implementation Science HubP30MH058107 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Nina Thawata Harawa · 1997 to 2026
$53.5M
Self-monitoring using GPS- and accelerometer-equipped smartphonesRC1HL099556 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI RAMANATHAN, NITHYA · 2009 to 2010
$971k
Predicting HIV-related Behaviors of Social Networks in a MPS EnvironmentK01MH089270 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI COMULADA, WARREN SCOTT · 2010 to 2014
$736k
NHLBI NIH HHS RC1 HL099556NIMH NIH HHS K01 MH089270NIMH NIH HHS P30 MH058107
6 · The paper itself

Abstract

backgroundHealth behavior patterns reported through daily diary data are important to understand and intervene upon at the individual level in N-of-1 trials and related study designs. There is often interest in relationships between multiple outcomes, such as stress and health behavior. However, analyses often utilize regressions that evaluate aggregate effects across individuals, and standard analyses target single outcomes.

objectiveThis paper aims to illustrate how individuals' daily reports of stress and health behavior (time series) can be explored using visualization tools.

methodsSecondary analysis was conducted on 6 months of daily diary reports of stress and health behavior (physical activity and diet quality) from mostly ethnic minority mothers who pilot-tested a self-monitoring mobile health app. Time series with minimal missing data from 14 of the 44 mothers were analyzed. Correlations between stress and health behavior within each time series were reported as a preliminary step. Stress and health behavior time series patterns were visualized by plotting moving averages and time points where mean shifts in the data occurred (changepoints).

resultsMedian correlation was small and negative for associations of stress with physical activity (r=-.14) and diet quality (r=-.08). Moving averages and changepoints for stress and health behavior were aligned for some participants but not for others. A third subset of participants exhibited little variation in stress and health behavior reports.

conclusionsMedian correlations in this study corroborate prior findings. In addition, time series visualizations highlighted variations in stress and health behavior across individuals and time points, which are difficult to capture through correlations and regression-based summary measures.

Indexed as

changepointdiet qualitymobile phonemoving averagephysical activitystresstime series

Identifiers

PMID30684407
PMCPMC6334694
OpenAlexW2897705263

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.