Silvia Biagioni
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Silvia Biagioni has a total of 24 co-authors. Here are the top co-authors by number of shared publications:
- Sabrina Molinaro
Institute of Clinical Physiology, National Research Council, 56124 Pisa, Italy
2 shared publications - Alessandra Lugo
Department of Medical Epidemiology, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
1 shared publication - Andrea Amerio
Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy
1 shared publication - Anna Odone
Department of Public Health, Experimental and Forensic Medicine, University of Pavia, Pavia, Italy
1 shared publication - Chiara Cresci
Azienda Ospedaliera Universitaria Careggi, Firenze.
1 shared publication - Chiara Stival
Department of Medical Epidemiology, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
1 shared publication
Latest Publications
- 1 July 2023
- Published by Elsevier in Journal of Psychiatric Research
- Vol. 164, 382-388
Cannabis use in repeated representative cross-sectional studies on Italian adults after the COVID-19 pandemic
- 1 July 2023
- Published by Elsevier in Journal of Psychiatric Research
- Vol. 164, 382-388
Cannabis use in repeated representative cross-sectional studies on Italian adults after the COVID-19 pandemic
- Open Access
- 18 March 2022
- Published by MDPI AG in Adolescents
- Vol. 2 (1) , 128-139
Weight Categories among Male Adolescents Linked to Risky Behaviors: High or Low BMI, Which Is Worse?
The literature about the relationship between extreme BMI and at-risk behaviors is quite inconsistent, and few articles focus on the underweight male population. This study aimed to analyze BMI level and its association with risky behavior, such as psychoactive substances use, gaming, and gambling, in a representative sample of the male adolescent population. Psychosocial variables were considered to better describe the possible at-risk profiles. This study used data from the 2018 ESPAD®Italia cross-sectional study, a survey using a self-administered anonymous questionnaire. For the purpose of the paper, males only were included in the analysis, with a total sample of 6938 students aged 15–19 years. Multinomial logistic regression showed that being overweight is positively associated with the gambler profile, the perception of a low financial family situation, and dissatisfaction with health conditions. Furthermore, being underweight was positively associated with gaming. Both extremes of BMI were associated with a frequent alcohol consumption and a sedentary lifestyle. This study provides important information regarding both extremes of BMI conditions, underling the presence of at-risk behavior and self-related perceptions with shared factors between underweight and overweight.
- 18 March 2022
- Published by MDPI AG in Adolescents
- Vol. 2 (1) , 128-139
Open AccessWeight Categories among Male Adolescents Linked to Risky Behaviors: High or Low BMI, Which Is Worse?
The literature about the relationship between extreme BMI and at-risk behaviors is quite inconsistent, and few articles focus on the underweight male population. This study aimed to analyze BMI level and its association with risky behavior, such as psychoactive substances use, gaming, and gambling, in a representative sample of the male adolescent population. Psychosocial variables were considered to better describe the possible at-risk profiles. This study used data from the 2018 ESPAD®Italia cross-sectional study, a survey using a self-administered anonymous questionnaire. For the purpose of the paper, males only were included in the analysis, with a total sample of 6938 students aged 15–19 years. Multinomial logistic regression showed that being overweight is positively associated with the gambler profile, the perception of a low financial family situation, and dissatisfaction with health conditions. Furthermore, being underweight was positively associated with gaming. Both extremes of BMI were associated with a frequent alcohol consumption and a sedentary lifestyle. This study provides important information regarding both extremes of BMI conditions, underling the presence of at-risk behavior and self-related perceptions with shared factors between underweight and overweight.