Evidence map›Paper›PMID 39964457›Full record

ArticleJournal of behavioral addictions2025

Differences in cross-sectional and daily diary problematic pornography use correlates.

Nicholas C Borgogna, Jacob Vaughn, Tyler Owen, Kyle M Brasil, Shane W Kraus, Ronald F Levant, Ryon C McDermott

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Article in Journal of behavioral addictions, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Nicholas C Borgogna1University of Alabama at Birmingham, USA.ORCID 0009-0007-4436-8500
Jacob Vaughn2Texas Tech University, USA.
Tyler Owen2Texas Tech University, USA.ORCID 0000-0002-4563-0431
Kyle M Brasil3Northwest Nazarene University, USA.ORCID 0000-0002-5682-6130
Shane W Kraus4University of Nevada-Las Vegas, USA.ORCID 0000-0002-0404-9480
Ronald F Levant5University of Akron, USA.ORCID 0000-0001-6153-7803
Ryon C McDermott6University of South Alabama, USA.ORCID 0000-0002-4887-6066

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Most problematic pornography use (PPU) research relies on cross-sectional designs. Ecological momentary assessment (EMA) studies are needed to better understand PPU correlates. We evaluated how daily PPU and pornography use ratings were correlated with baseline PPU, pornography use frequency (over 12-months), alcohol problems, and depression in a community sample of men living in the United States. Design: Participants (n = 113, mean age 37.95 [11.09]) completed a baseline survey battery followed by daily EMAs over 14 days (k = 1,240 observations). Data were gathered on the Prolific panel. Findings: Screener thresholds suggested 32%, 25%, and 24% of sample were at-risk for PPU, depression, and alcohol use problems respectively. Baseline estimates suggested PPU to be weakly correlated with depression (r = 0.29) and past 12-month pornography use (r = 0.27), but not alcohol problems (r = 0.08). Multilevel modeling indicated aggregated pornography use amount as a robust correlate of aggregated pornography control problems over the observation period. Baseline PPU and pornography use indicators were significant predictors of aggregated control problems and pornography use amount respectively. Baseline depression and alcohol problem predictors were non-significant. Past 12-month pornography use frequency and depression scores exacerbated the relationships between daily pornography use amount and aggregated control problems. Sensitivity analyses specific to only those who used pornography across all observations were consistent with full model results (though effect strength changed). Conclusions: With exception to the PPU and pornography use indicators, cross-sectional baseline estimates (e.g., alcohol problems and depression) were generally not predictive of aggregated pornography use and control problems in the following 14 days.

Indexed as

Behavior, AddictiveDepressionEcological Momentary AssessmentEroticaAdultCross-Sectional StudiesHumansMaleMiddle AgedUnited StatesYoung Adultcompulsive sexual behavior disorderdaily diaryecological momentary assessmentlongitudinalproblematic pornography use

Identifiers

PMID39964457
PMCPMC11974439

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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.