Silvia Grazioli

Ms. Silvia Grazioli

orcid

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

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

Representative Publications

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24 September 2018 in European Child & Adolescent Psychiatry
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Journal Article
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ACAlessandro Crippa
Alessandro Crippa
ATAlessandra Tesei
Alessandra Tesei
FSFederica Sangiorgio
Federica Sangiorgio
ASAntonio Salandi
Antonio Salandi
STSara Trabattoni
Sara Trabattoni
MNMaria Nobile
Maria Nobile

1 December 2020 in Journal of Affective Disorders
Verified
Journal Article
Closed access
MMMaddalena Mauri
Maddalena Mauri
SGSilvia Grazioli
Silvia Grazioli
ACAlessandro Crippa
Alessandro Crippa
ABAndrea Bacchetta
Andrea Bacchetta
UPUberto Pozzoli
Uberto Pozzoli
MNMaria Nobile
Maria Nobile

25 January 2023 in European Child & Adolescent Psychiatry
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Journal Article
Open access
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SGSilvia Grazioli
Silvia Grazioli
ACAlessandro Crippa
Alessandro Crippa
EREleonora Rosi
Eleonora Rosi
ACAntonio Candelieri
Antonio Candelieri
SCSilvia Busti Ceccarelli
Silvia Busti Ceccarelli
MNMaria Nobile
Maria Nobile
Recently, there has been an increase in telemedicine applied to child neuropsychiatry, such as the use of online platforms to collect remotely case histories and demographic and behavioral information. In the present proof-of-concept study, we aimed to understand to what extent information parents and teachers provide through online questionnaires overlaps with clinicians’ diagnostic conclusions on attention-deficit/hyperactivity disorder (ADHD). Moreover, we intended to explore a possible role that autism spectrum disorders (ASD) symptoms played in this process. We examined parent- and teacher-rated questionnaires collected remotely and an on-site evaluation of intelligence quotients from 342 subjects (18% females), aged 3–16 years, and referred for suspected ADHD. An easily interpretable machine learning model—decision tree (DT)—was built to simulate the clinical process of classifying ADHD/non-ADHD based on collected data. Then, we tested the DT model’s predictive accuracy through a cross-validation approach. The DT classifier’s performance was compared with those that other machine learning models achieved, such as random forest and support vector machines. Differences in ASD symptoms in the DT-identified classes were tested to address their role in performing a diagnostic error using the DT model. The DT identified the decision rules clinicians adopt to classify an ADHD diagnosis with an 82% accuracy rate. Regarding the cross-validation experiment, our DT model reached a predictive accuracy of 74% that was similar to those of other classification algorithms. The caregiver-reported ADHD core symptom severity proved the most discriminative information for clinicians during the diagnostic decision process. However, ASD symptoms were a confounding factor when ADHD severity had to be established. Telehealth procedures proved effective in obtaining an automated output regarding a diagnostic risk, reducing the time delay between symptom detection and diagnosis. However, this should not be considered an alternative to on-site procedures but rather as automated support for clinical practice, enabling clinicians to allocate further resources to the most complex cases.

1 February 2019 in Journal of Affective Disorders
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Journal Article
Closed access
SGSilvia Grazioli
Silvia Grazioli
MMMaddalena Mauri
Maddalena Mauri
ACAlessandro Crippa
Alessandro Crippa
EMEleonora Maggioni
Eleonora Maggioni
MMMassimo Molteni
Massimo Molteni
MNMaria Nobile
Maria Nobile

17 July 2020 in BMC Psychiatry
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Journal Article
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MBMonica Bellina
Monica Bellina
SGSilvia Grazioli
Silvia Grazioli
MGMarco Garzitto
Marco Garzitto
MMMaddalena Mauri
Maddalena Mauri
EREleonora Rosi
Eleonora Rosi
MNMaria Nobile
Maria Nobile
Background: Increasing evidence suggests a complex role of family influences, such as the exposure to parent psychopathology through parenting behavior, in parent-to-child psychopathology transmission. Parenting behaviour could represent a relevant target of psychoeducative intervention. Given these premises, we aimed to evaluate homotypic and heterotypic relationships between parent and child psychopathology, mediated by parenting behaviours, taking into account the constructs of parent and offspring internalizing and externalizing psychopathology. Methods: Internalizing and externalizing symptoms in 272 clinically-referred subjects (mean age = 14.5 ± 2.3; F = 23.5%) and their parents (mothers n = 272, fathers n = 242) were assessed through the Child Behavior Checklist and the Adult Self Report; four areas of parenting behaviours were investigated through the Family Life Questionnaire. Multiple mediation models were built, considering mother and father psychopathology scales as independent variables, parenting measures and family functioning as mediators (Affirmation, Rules, Discipline and Special Allowances), child psychopathology scales as dependent variables and demographic variables as covariates. Results: Regression models showed a significant effect of maternal internalizing symptomatology on child externalizing behavioral problems; high levels of maternal pathology predicted high levels of children’s psychopathology. A total mediating effect of parenting measures was found: high levels of internalizing symptoms in mothers predicted low levels of affirmation, which in turn predicted high levels of externalizing psychopathology in children. Conclusions: Our study results confirmed the existence of interdependent links between mothers’ psychiatric symptomatology, parenting behaviour and offspring outcomes, specifically in an Italian context. On a clinical and rehabilitation basis, this work offers suggestions about parenting practices, specifically maternal, involved in the maintenance of child psychopathology.

28 May 2020 in Nutrients
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Journal Article
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EREleonora Rosi
Eleonora Rosi
SGSilvia Grazioli
Silvia Grazioli
FVFilippo Maria Villa
Filippo Maria Villa
MMMaddalena Mauri
Maddalena Mauri
EGErica Gazzola
Erica Gazzola
MNMaria Nobile
Maria Nobile
Attention deficit hyperactivity disorder (ADHD) is a common neurodevelopmental disorder in children and adolescents, with environmental and biological causal influences. Pharmacological medication is the first choice in ADHD treatment; recently, many studies have concentrated on dietary supplementation approaches to address nutritional deficiencies, to which part of non-responses to medications have been imputed. This review aims to evaluate the efficacy of non-pharmacological supplementations in children or adolescents with ADHD. We reviewed 42 randomized controlled trials comprised of the following supplementation categories: polyunsaturated fatty acids (PUFAs), peptides and amino acids derivatives, single micronutrients, micronutrients mix, plant extracts and herbal supplementations, and probiotics. The reviewed studies applied heterogeneous methodologies, thus making it arduous to depict a systematic overview. No clear effect on single cognitive, affective, or behavioral domain was found for any supplementation category. Studies on PUFAs and micronutrients found symptomatology improvements. Peptides and amino acids derivatives, plant extracts, herbal supplementation, and probiotics represent innovative research fields and preliminary results may be promising. In conclusion, such findings, if confirmed through future research, should represent evidence for the efficacy of dietary supplementation as a support to standard pharmacological and psychological therapies in children and adolescents with ADHD.