Evidence map›Paper›PMID 29101644›Full record

ArticlePrevention science : the official journal of the Society for Prevention Research2019

Personalizing and Optimizing Preventive Intervention Models via a Translational Neuroscience Framework.

Diana H Fishbein, Jacinda K Dariotis

Abstract read
PubMed Publisher
In one paragraph

Article in Prevention science : the official journal of the Society for Prevention Research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
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

15 citing papers in PubMed.

  1. Trial
  2. Addressing Health Disparities through Community Engagement in Artificial Intelligence-Driven Prevention Science.Prevention science : the official journal of the Society for Prevention Research · 2026
    Review
  3. Article
  4. Article
  5. Practical, Economic, and Policy Implications of the Leve et al. Paper.Prevention science : the official journal of the Society for Prevention Research · 2024
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Commentary on the Culture of Prevention.Prevention science : the official journal of the Society for Prevention Research · 2021
    Article
  11. Cultural Adaptation of Promising, Evidence-Based, and Best Practices: a Scoping Literature Review.Prevention science : the official journal of the Society for Prevention Research · 2020
    Article
  12. Article
  13. Article
  14. Precision Strategies as a Timely and Unifying Framework for Ongoing Prevention Science Advances.Prevention science : the official journal of the Society for Prevention Research · 2019
    Article
  15. Moving Toward a Precision-Based, Personalized Framework for Prevention Science: Introduction to the Special Issue.Prevention science : the official journal of the Society for Prevention Research · 2019
    Article
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

2 authors.

Diana H FishbeinDepartment of Human Development and Family Studies and Edna Bennett Pierce Prevention Research Center, The Pennsylvania State University, 218 Health and Human Development Building, University Park, PA, 16802, USA. dfishbein@psu.edu.
Jacinda K DariotisCollege of Education, Criminal Justice, and Human Services, Evaluation Services Center, University of Cincinnati, Cincinnati, OH, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A new generation of research, building upon developmental psychopathology (Luthar et al. 1997; Luthar et al. (Child Development, 71, 543-562, 2000)), provides evidence that individual differences in risk for behavioral health problems result from intrapersonal and environmental modulation of neurophysiologic and genetic substrates. This transdisciplinary model suggests that, in any given individual, the number of genetic variants implicated in high-risk behavior and the way in which they are assorted and ultimately suppressed or activated in the brain by experiential and contextual factors help to explain behavioral orientations. Implications are that behavioral health problems can be amplified or reduced based on characteristics of an individual and socio-contextual influences on those characteristics. This emerging research has extraordinary implications for the design of prevention programs that more precisely target the malleable mechanisms that underlie behavioral health problems and, hence, more effectively prevent behavioral problems and promote resilience. A detailed, theory-driven examination of all evidence-based interventions is called for to identify the active ingredients that specifically impact these underlying mechanisms. Such an approach will enhance the ability of preventive interventions to achieve effect sizes indicative of beneficial impacts for a greater number of recipients. This paper presents the significant implications of this collective knowledge base for the next generation of precision-based, prevention-focused personalized interventions.

Indexed as

NeurosciencesPrecision MedicinePreventive MedicineTranslational Research, BiomedicalHumansInterdisciplinary CommunicationModels, TheoreticalInterventionNeurosciencePersonalizedPreventionTransdisciplinaryTranslational

Identifiers

What OpenQuestion holds

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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.