Evidence map›Paper›PMID 38340235›Full record

ReviewPrevention science : the official journal of the Society for Prevention Research2024

International Responses to Prevention Intervention Research During Human Ecosystem Disruptions: A Commentary on the Special Issue of Prevention Science.

Cory L Cobb

Abstract readReview
PubMed Publisher
In one paragraph

Review in Prevention science : the official journal of the Society for Prevention Research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 97% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

1 author at 1 institution in 1 country.

Cory L CobbSchool of Public Health, Department of Health Behavior, Texas A&M University, 1266 TAMU 212 Adriance Lab Rd., Suite 362, College Station, TX, 77843-1266, USA. Cory.cobb@tamu.edu.
Texas A&M University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this commentary on the special issue of Prevention Science, "International Responses to Prevention Intervention Research During Human Ecosystem Disruptions," is to review the six target articles included in this issue, evaluate their results, and highlight the myriad ways in which diverse teams of prevention scientists mobilized to conduct rigorous scientific research during major human ecosystem disruptions (HEDs). The articles included in this issue consider both the etiology of mental and behavioral health challenges (i.e., substance use, mental health, behavioral problems) during HEDs and preventive intervention efforts aimed at addressing these challenges (i.e., adaptation and implementation of evidence-based interventions in novel contexts). This commentary discusses each article with emphasis on the respective contributions that prevention science teams have made to public health during major HEDs. Even in the most challenging contexts, prevention scientists have been at the forefront of public health efforts and have evidenced the vital role of prevention science for public health during HED events. The commentary concludes by highlighting the critical roles that prevention scientists can play in addressing critical public health issues during large-scale HEDs.

Indexed as

EcosystemSubstance-Related DisordersHealth Services ResearchHumansMental HealthPublic HealthEtiologyHuman ecosystem disruptionsInterventionPrevention sciencePublic health

Identifiers

PMID38340235
OpenAlexW4391718939

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.