Addict Behav [JOURNAL]

Sun 200 papers

Effect of graphic warning label on acute changes in waterpipe tobacco smoking behavior, biomarkers of exposure and harm, and subjective effects in a randomized trial.

Brinkman MC, Mehta T, Pennell ML … +15 more , Angeles D, Kahassai S, Wu CM, Curran H, Keller-Hamilton B, Klein EG, Roberts ME, Nini P, Adetona O, Patterson JG, Mays D, Mandarano L, Jankowski E, Thomas A, Ferketich AK

Addict Behav · 2026 Jan · PMID 41124756 · Full text

INTRODUCTION: Waterpipe (WP) smoking is commonly misperceived as less harmful than cigarette smoking. Graphic warning labels (GWLs) may correct misperceptions and reduce WP smoking. We determined the impact of a GWL plac... INTRODUCTION: Waterpipe (WP) smoking is commonly misperceived as less harmful than cigarette smoking. Graphic warning labels (GWLs) may correct misperceptions and reduce WP smoking. We determined the impact of a GWL placed on a WP on short-term smoking behaviors and other outcomes among young adults who smoke WP. METHODS: Young adults, ages 21-35 years, who smoke WP were randomized to a control (Visit1 = Blank, Visit2 = Blank label) or experimental (Visit1 = Blank, Visit2 = GWL, Visit3 = GWL) group. Participants smoked a research-grade WP in the lab ad lib to satiation, for a maximum of 60 min, for up to 3 visits, each separated by a week. Puffing topography was measured continuously throughout the session. Exhaled CO, harm perceptions, and subjective effects were measured before and after each smoking session. Outcome data were analyzed using linear mixed models to account for incomplete, repeated measurements. RESULTS: There were no significant differences in study outcomes within and between assigned groups, except for the following from Visit1 and Visit3 in the GWL group: 1) a reduction in puff volume (p = 0.048); 2) a reduction in good taste and calmness (p = 0.027 and 0.007, respectively); and 3) a reduction in being confused after smoking (p = 0.042). CONCLUSIONS: GWLs on WPs may not be the sole effective tool for reducing the harm from WP smoking. More research is needed to determine if WP interventions aimed at improving population health should include a wider variety of tools, such as education, cessation services, and product standards that limit the appealing aspects of WP tobacco.

Free PDF PubMed ↗

Mapping adolescent problematic social media use patterns across 41 countries/regions: A multilevel latent class analysis with social determinants.

Lu Z

Addict Behav · 2026 Jan · PMID 41110245 · Publisher ↗

BACKGROUND: Problematic social media use (PSMU) represents a growing concern among adolescents globally. While existing variable-centered research has provided valuable insights into PSMU determinants, person-centered ap... BACKGROUND: Problematic social media use (PSMU) represents a growing concern among adolescents globally. While existing variable-centered research has provided valuable insights into PSMU determinants, person-centered approaches can offer complementary perspectives by identifying behavioral heterogeneity within populations and examining how social determinants differentially affect distinct subgroups across diverse national contexts. OBJECTIVES: This study aimed to (1) identify distinct PSMU behavioral classes at the individual level, (2) classify countries/regions based on PSMU prevalence patterns, and (3) examine how multilevel social determinants predict class membership. METHODS: Data were from 171,447 adolescents across 41 countries/regions. Multilevel latent class analyses were first conducted on nine dimensions of PSMU to identify distinct classes at individual and national levels. Individual-level measures incorporated social relationship quality, health behaviors, and economic deprivation. National-level indicators included economic development, education, income, inequalities, and cultural values. Multinomial regressions were performed to examine associations between social determinants and PSMU class membership. RESULTS: Three distinct individual-level PSMU classes emerged: Low Problematic Use Class (58.0%), Moderate Problematic Use Class (37.6%), and High Problematic Use Class (4.3%). Countries/regions are clustered into three categories: Low Prevalence Region (31.7%), Moderate Prevalence Region (39.0%), and High Prevalence Region (29.2%). At the individual level, positive social relationships and healthy lifestyles demonstrated protective effects against problematic use, while economic deprivation increased risk. At the national level, educational inequality, secular values, and gender inequality significantly increased the likelihood of countries belonging to the High Prevalence Region. CONCLUSION: Adolescent PSMU manifests heterogeneously across individuals and exhibits geographic variation. This study highlights the necessity of multilevel, differentiated intervention strategies, emphasizing that countries/regions should develop policies aligned with their specific characteristics to foster supportive environments for adolescent digital well-being.

Addict Behav [JOURNAL]

About