Lorenzo Campedelli

Dr. Lorenzo Campedelli

orcid

Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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9 August 2021 in International Journal of Mental Health and Addiction
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Journal Article
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Paolo SoraciPaolo Soraci
Paolo Soraci
FMFrancesco Maria Melchiori
Francesco Maria Melchiori
EFElena Del Fante
Elena Del Fante
RMRoberto Melchiori
Roberto Melchiori
EGEleonora Guaitoli
Eleonora Guaitoli
Mark D GriffithsMark D Griffiths
Mark D Griffiths
Excessive problematic sexual behavior in the form of compulsive sexual behavior disorder (CSBD), hypersexuality (HS), and sex addiction has gained increasing credibility in recent years and has led to the development of various psychometric instruments to assess such behavior. However, there is still considerable controversy over the operational definition of such concepts and whether they can be used interchangeably to describe the behavior. One recently developed tool is the Bergen–Yale Sex Addiction Scale (BYSAS) based on the “components model of addiction.” The present study validated the Italian version of the BYSAS. The BYSAS was administered to a large Italian-speaking sample of Italian adults [N = 1230, aged 18 to 67 years] along with psychometric instruments assessing the “Big Five” personality traits, self-esteem, depression, and two other measures of addictive sexual behavior (i.e., PATHOS and Shorter PROMIS Questionnaire–Sex Subscale). Confirmatory factorial analysis supported a one-factor solution. Furthermore, the scale had good internal consistency (Cronbach’s α = 0.787). The BYSAS was positively associated with extroversion, openness to experience, depression, and problematic sexual behavior, and negatively associated with self-esteem, conscientiousness, emotional stability, agreeableness, and age. Based on the findings, the BYSAS is a brief, psychometrically reliable and valid measure for assessing sex addiction among Italian adults.

30 May 2025 in Current Psychology
Verified
Journal Article
Open access
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Paolo SoraciPaolo Soraci
Paolo Soraci
Mark D GriffithsMark D Griffiths
Mark D Griffiths
NBNadia Bevan
Nadia Bevan
RPRenato Pisanti
Renato Pisanti
MTMariachiara Trovato
Mariachiara Trovato
SSSeydi Ahmet Satici
Seydi Ahmet Satici
Doomscrolling is a fairly new concept in mental health research which has attracted significant attention in recent years. Doomscrolling involves individuals spending excessive time online reading unpleasant news, and leading to negative emotional states (e.g., sadness, anxiety, anger, etc.). Several studies have found that doomscrolling is associated with lower quality of life, poorer mental well-being, and problematic technology use. In Italy, there is a lack of instruments to assess this construct. Therefore, the main objective of the present study was to validate both the 15-item and four-item Doomscrolling Scale (DSS) to fill this gap. The sample comprised 300 Italians (70.7% females), with a mean age of 38.02 years (SD = ± 13.08). Participants completed an online survey comprising the DSS, Depression Anxiety Stress Scale (DASS-21), Warwick-Edinburgh Mental Well-Being Scale (WEMWBS), Satisfaction With Life Scale (SWLS), and Bergen Social Media Addiction Scale (BSMAS). The results of confirmatory factor analysis supported a first-order one-factor scale, with satisfactory fit indices. The DSS showed good internal consistencies (Cronbach alpha = 0.96 and McDonald omega = 0.96). Additionally, the DSS score was positively associated with scores on the BSMAS and DASS-21, and negatively associated with scores on the WEMWBS and SWLS. The short version of the DSS also demonstrated very good psychometric characteristics. The findings indicate that the both versions of the DSS are psychometrically reliable and valid measures for assessing doomscrolling activity among Italian adults. The study expands the literature regarding factors related to doomscrolling behavior.

16 October 2025 in Sexes
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Journal Article
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GSGiuseppe Seminara
Giuseppe Seminara
MAMarco Alessi
Marco Alessi
MZMaria Carmela Zagari
Maria Carmela Zagari
FGFrancesca Greco
Francesca Greco
ARAntonino Raffa
Antonino Raffa
CMCristiano Monarca
Cristiano Monarca
Gender dysphoria stems from incongruence between gender identity and assigned sex, often causing significant distress related to breast anatomy in transmasculine individuals. Gender-affirming hormone therapy typically precedes mastectomy, which is a fundamental intervention in transgender healthcare. Surgical challenges arise in patients with large breasts on lean frames, requiring customized techniques to achieve a natural, proportional, androgynous chest. This case report describes a 23-year-old transmasculine patient with macromastia and a tall, lean build who underwent gender-affirming mastectomy with free nipple grafts and muscular sculpture aimed at an androgynous esthetic. Pre- and postoperative evaluations showed marked improvements in body image, physical strength performance, and emotional well-being. Psychological assessments revealed significant reductions in body uneasiness and gender dysphoria, while human figure drawings demonstrated increasing bodily integration and identity congruence. A general improvement in physical performance over time was reported, particularly in upper body strength, with minor fluctuations potentially related to the surgical intervention and recovery phase. The narrative literature review supports these outcomes, highlighting satisfaction rates above 90%, minimal regret, and consistent gains in psychosocial functioning and sexual and mental health, including reduced anxiety and depression. This evidence reinforces that gender-affirming mastectomy is medically necessary, particularly when tailored to individual anatomical and esthetic needs, affirming identity and alleviating distress.

3 January 2026 in Lipidology
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Journal Article
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Mara LastrettiMara Lastretti
Mara Lastretti
LCLorenzo Campedelli
Lorenzo Campedelli
TSTiziano Scarparo
Tiziano Scarparo
SSSabina Spagna
Sabina Spagna
ACAndrea Cicoli
Andrea Cicoli
Ettore D'AleoEttore D'Aleo
Ettore D'Aleo
Background: In recent decades, interest has grown in the link between lipid metabolism and mental health. Omega-3 fatty acids (EPA and DHA) play a crucial role in brain function, neuroplasticity, and emotional regulation. Deficiency or an imbalanced omega-6/omega-3 ratio, typical of Western diets, has been associated with an increased risk of mood disorders, such as major depression and bipolar disorder. Objective: This review critically synthesizes neurobiological and clinical evidence on the role of omega-3s in mood disorders, assessing mechanisms, randomized controlled trials, and meta-analyses, with a focus on inflammatory biomarkers and their integration into a personalized psychiatry framework. Methods: A narrative review of epidemiological studies, randomized controlled trials (RCTs), meta-analyses, and experimental research was conducted, evaluating mechanistic pathways (synaptic, inflammatory, neuroplastic, and redox) and clinical moderators (particularly inflammatory markers and dietary lipid profiles). Results: Consistent evidence indicates that EPA-enriched formulations (≥60%) exert antidepressant effects, particularly in patients with elevated inflammatory markers (CRP, IL-6, TNF-α). In contrast, DHA-only preparations show limited efficacy, and outcomes vary depending on dietary omega-6/omega-3 balance. However, the literature remains heterogeneous in design, sample size, and biomarker stratification, which limits generalizability and contributes to conflicting findings across studies. Conclusions: While omega-3 fatty acids represent promising adjunctive interventions for mood disorders, methodological weaknesses and inconsistent formulations hinder definitive conclusions. Future research should prioritize biomarker-guided, precision-based approaches to clarify therapeutic efficacy and optimize clinical use.

LCLorenzo Campedelli
Lorenzo Campedelli
ACAndrea Cicoli
Andrea Cicoli
Mara LastrettiMara Lastretti
Mara Lastretti
SSSabina Spagna
Sabina Spagna
PTPaolo Tordiglione
Paolo Tordiglione
ACAlberto Costa
Alberto Costa
Major depressive disorder (MDD) affects approximately 280 million people worldwide, yet conventional pharmacotherapy achieves remission in only 30–50% of patients, intensifying the search for novel biological substrates. This systematic review, conducted according to PRISMA 2020 guidelines across six electronic databases (2014–March 2025), synthesised 89 studies examining gut microbiota composition in adults with MDD compared to healthy controls. MDD was consistently associated with reduced alpha diversity and a recurrent dysbiotic pattern, herein proposed as a depressive dysbiosis signature, characterised by depletion of butyrate-producing genera (Faecalibacterium, Roseburia, Eubacterium, Coprococcus) and enrichment of pro-inflammatory taxa (Alistipes, Eggerthella, Streptococcus). While this pattern was observed across multiple cohorts, significant inter-study heterogeneity precludes its definition as a universal microbial signature for MDD. Beta diversity analyses demonstrated robust compositional separation between cohorts. Plausible mechanistic pathways included compromised short-chain fatty acid production, increased intestinal permeability, low-grade systemic inflammation, tryptophan shunting toward the kynurenine pathway, and hypothalamic–pituitary–adrenal axis dysregulation. Preclinical faecal microbiota transplantation provided translational evidence consistent with a causal interpretation, while randomised probiotic trials demonstrated significant reductions in depressive symptom severity compared with placebo. Probiotic effects are strain-specific according to ISAPP consensus; generalisation across strains is not warranted. Gut microbiota dysbiosis represents a biologically plausible mediator of depression pathophysiology, with a recurrent dysbiotic pattern, characterised by depletion of butyrate-producing taxa and enrichment of pro-inflammatory genera, showing emerging diagnostic and therapeutic potential.

2 September 2026 in Psychiatry International
Verified
Journal Article
Open access
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Mara LastrettiMara Lastretti
Mara Lastretti
Mirko ManchiaMirko Manchia
Mirko Manchia
Matteo FraschiniMatteo Fraschini
Matteo Fraschini
AFAndrea Faa
Andrea Faa
FCFerdinando Coghe
Ferdinando Coghe
GFGavino Faa
Gavino Faa
Background: Artificial intelligence (AI)-driven conversational systems are increasingly capable of simulating empathy, adapting to individual users, and fostering emotional bonds that blur the boundary between tool and companion. This scoping review maps the extent and nature of published evidence regarding psychological mechanisms underlying emotional reliance on AI chatbots and associated mental health implications. Methods: Conducted in accordance with PRISMA-ScR guidelines, we systematically searched PubMed/MEDLINE, PsycINFO, Web of Science, Scopus, and IEEE Xplore from database inception to March 2026. Two independent reviewers screened records and extracted data using the PCC (Population, Concept, Context) framework. Thematic synthesis was performed to map evidence across psychological, clinical, and developmental domains. Results: Of 1847 records identified, 46 studies met inclusion criteria. Key themes included: (1) the ELIZA effect as a foundational mechanism of human–AI attachment, with documented cases of severe dependency including fatal outcomes; (2) anthropomorphization and artificial intimacy fostered by adaptive, personalized AI design; (3) proposal of Generative AI Dependency (GAID) as a conceptual framework mapping onto behavioral addiction components, pending empirical validation; (4) particular vulnerability of adolescents and lonely individuals to exclusive affective bonds with AI; and (5) potential erosion of human relational capacities, empathy development, and tolerance for interpersonal complexity. Significant gaps were identified in longitudinal research, validated screening tools, and intervention protocols. Conclusions: Emotional reliance on AI represents an emerging clinical phenomenon with addiction-like features requiring specific diagnostic frameworks, evidence-based interventions, and ethical design guidelines. Future research should prioritize longitudinal studies examining developmental impacts and neurobiological investigations of AI-mediated reinforcement mechanisms.