Evidence map›Paper›PMID 24332365›Full record

Trial reportDrug and alcohol dependence2014

Real-time tracking of neighborhood surroundings and mood in urban drug misusers: application of a new method to study behavior in its geographical context.

David H Epstein, Matthew Tyburski, Ian M Craig, Karran A Phillips, Michelle L Jobes, Massoud Vahabzadeh, Mustapha Mezghanni, Jia-Ling Lin, C Debra M Furr-Holden, Kenzie L Preston

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Drug and alcohol dependence, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed, 4 pooled it
6.3field-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

75 citing papers in PubMed, 4 syntheses or guidelines pooled it, 124 citations in OpenAlex.

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15 more citing papers are in PubMed but not listed here.

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

10 authors at 3 institutions in 1 country.

David H EpsteinTreatment Section, Clinical Pharmacology and Therapeutics Research Branch, Intramural Research Program, 251 Bayview Blvd., Suite 200, National Institute on Drug Abuse, Baltimore, MD 21224, United States.
Matthew TyburskiTreatment Section, Clinical Pharmacology and Therapeutics Research Branch, Intramural Research Program, 251 Bayview Blvd., Suite 200, National Institute on Drug Abuse, Baltimore, MD 21224, United States.
Ian M CraigTreatment Section, Clinical Pharmacology and Therapeutics Research Branch, Intramural Research Program, 251 Bayview Blvd., Suite 200, National Institute on Drug Abuse, Baltimore, MD 21224, United States.
Karran A PhillipsTreatment Section, Clinical Pharmacology and Therapeutics Research Branch, Intramural Research Program, 251 Bayview Blvd., Suite 200, National Institute on Drug Abuse, Baltimore, MD 21224, United States.
Michelle L JobesTreatment Section, Clinical Pharmacology and Therapeutics Research Branch, Intramural Research Program, 251 Bayview Blvd., Suite 200, National Institute on Drug Abuse, Baltimore, MD 21224, United States.
Massoud VahabzadehBiomedical Informatics Section, Administrative Management Branch, Intramural Research Program, National Institute on Drug Abuse, 251 Bayview Blvd., Suite 200, National Institute on Drug Abuse, Baltimore, MD 21224, United States.
Mustapha MezghanniJohns Hopkins Bayview Medical Center, 251 Bayview Blvd., Suite 200, National Institute on Drug Abuse, Baltimore, MD 21224, United States.
Jia-Ling LinBiomedical Informatics Section, Administrative Management Branch, Intramural Research Program, National Institute on Drug Abuse, 251 Bayview Blvd., Suite 200, National Institute on Drug Abuse, Baltimore, MD 21224, United States.
C Debra M Furr-HoldenDepartment of Mental Health, Johns Hopkins University Bloomberg School of Public Health, 111 Market Place, Suite 850, Baltimore, MD 21202, United States.
Kenzie L PrestonTreatment Section, Clinical Pharmacology and Therapeutics Research Branch, Intramural Research Program, 251 Bayview Blvd., Suite 200, National Institute on Drug Abuse, Baltimore, MD 21224, United States. Electronic address: kpreston@intra.nida.nih.gov.
National Institute on Drug Abuse · USJohns Hopkins Bayview Medical Center · USJohns Hopkins University · US

Funding

Scientific Computing & Informatics Core (SCIC)ZIHDA000534 · NIDA · NATIONAL INSTITUTE ON DRUG ABUSE · PI ERIKSON, RYEN · 2009 to 2025
$65.3M
Real-Time Assessment of Drug Use, Along with Mental States and EnvironmentsZIADA000499 · NIDA · NATIONAL INSTITUTE ON DRUG ABUSE · PI EPSTEIN, DAVID · 2009 to 2025
$19.9M
Prevention of Relapse in AddictionZIADA000536 · NIDA · NATIONAL INSTITUTE ON DRUG ABUSE · PI PRESTON, KENZIE · 2009 to 2018
$9.5M
Evaluation Of Treatments Of Opioid And Cocaine DependenceZIADA000175 · NIDA · NATIONAL INSTITUTE ON DRUG ABUSE · PI PRESTON, KENZIE · 2009 to 2016
$7.4M
Intramural NIH HHS ZIA DA000499Intramural NIH HHS ZIA DA000536
6 · The paper itself

Abstract

backgroundMaladaptive behaviors may be more fully understood and efficiently prevented by ambulatory tools that assess people's ongoing experience in the context of their environment.

methodsTo demonstrate new field-deployable methods for assessing mood and behavior as a function of neighborhood surroundings (geographical momentary assessment; GMA), we collected time-stamped GPS data and ecological momentary assessment (EMA) ratings of mood, stress, and drug craving over 16 weeks at randomly prompted times during the waking hours of opioid-dependent polydrug users receiving methadone maintenance. Locations of EMA entries and participants' travel tracks calculated for the 12 before each EMA entry were mapped. Associations between subjective ratings and objective environmental ratings were evaluated at the whole neighborhood and 12-h track levels.

resultsParticipants (N=27) were compliant with GMA data collection; 3711 randomly prompted EMA entries were matched to specific locations. At the neighborhood level, physical disorder was negatively correlated with negative mood, stress, and heroin and cocaine craving (ps<.0001-.0335); drug activity was negatively correlated with stress, heroin and cocaine craving (ps .0009-.0134). Similar relationships were found for the environments around respondents' tracks in the 12h preceding EMA entries.

conclusionsThe results support the feasibility of GMA. The relationships between neighborhood characteristics and participants' reports were counterintuitive and counter-hypothesized, and challenge some assumptions about how ostensibly stressful environments are associated with lived experience and how such environments ultimately impair health. GMA methodology may have applications for development of individual- or neighborhood-level interventions.

Indexed as

AffectGeographic Information SystemsResidence CharacteristicsUrban PopulationAdultBehavior, AddictiveCohort StudiesComputer SystemsDrug UsersFemaleHumansLongitudinal StudiesMaleMiddle AgedStress, PsychologicalSubstance-Related DisordersActivity spaceBehavioral geographyEcological momentary assessment

Identifiers

PMID24332365
PMCPMC3867746
OpenAlexW1992141573

What OpenQuestion holds

Textmetadata
LicenceTDM
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.