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Jiang Z, Sullivan PF, Li T, Zhao B, Wang X, Luo T, Huang S, Guan PY, Chen J, Yang Y, Stein JL, Li Y, Liu D, Sun L, Zhu H. The X chromosome's influences on the human brain. SCIENCE ADVANCES 2025; 11:eadq5360. [PMID: 39854466 PMCID: PMC11759047 DOI: 10.1126/sciadv.adq5360] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/19/2024] [Accepted: 12/23/2024] [Indexed: 01/26/2025]
Abstract
Genes on the X chromosome are extensively expressed in the human brain. However, little is known for the X chromosome's impact on the brain anatomy, microstructure, and functional networks. We examined 1045 complex brain imaging traits from 38,529 participants in the UK Biobank. We unveiled potential autosome-X chromosome interactions while proposing an atlas outlining dosage compensation for brain imaging traits. Through extensive association studies, we identified 72 genome-wide significant trait-locus pairs (including 29 new associations) that share genetic architectures with brain-related disorders, notably schizophrenia. Furthermore, we found unique sex-specific associations and assessed variations in genetic effects between sexes. Our research offers critical insights into the X chromosome's role in the human brain, underscoring its contribution to the differences observed in brain structure and functionality between sexes.
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Affiliation(s)
- Zhiwen Jiang
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Patrick F. Sullivan
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Tengfei Li
- Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Biomedical Research Imaging Center, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Bingxin Zhao
- Department of Statistics and Data Science, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Xifeng Wang
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Tianyou Luo
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Shuai Huang
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Peter Y. Guan
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Jie Chen
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Yue Yang
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Jason L. Stein
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- UNC Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Yun Li
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Dajiang Liu
- Department of Public Health Sciences, Penn State University, Hershey, PA 17033, USA
- Department of Biochemistry and Molecular Biology, Penn State University, Hershey, PA 17033, USA
| | - Lei Sun
- Department of Statistical Sciences, University of Toronto, Toronto, ON M5G 1Z5, Canada
- Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, ON M5T 3M7, Canada
| | - Hongtu Zhu
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Biomedical Research Imaging Center, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Department of Statistics and Operations Research, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
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Dimitriou D, Khan YS, Khan AW, Esposito G. Editorial: Advancing understanding and care for individuals with developmental disabilities in the Middle East. RESEARCH IN DEVELOPMENTAL DISABILITIES 2024; 153:104816. [PMID: 39178563 DOI: 10.1016/j.ridd.2024.104816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/26/2024]
Affiliation(s)
- Dagmara Dimitriou
- Sleep Education and Research Laboratory, Psychology and Human Development, UCL-Institute of Education, London, United Kingdom
| | - Yasser Saeed Khan
- College of Medicine, Qatar University, Doha, Qatar; Mental Health Service, Hamad Medical Corporation, Doha, Qatar
| | | | - Gianluca Esposito
- Affiliative Behavior and Physiology Lab, Department of Psychology and Cognitive Science, University of Trento, Italy
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Lee SA, Hur YM. Common Genetic Influence on the Relationship Between Gaming Addiction and Attention Deficit Hyperactivity Disorder in Young Adults: A Twin Study. Twin Res Hum Genet 2024; 27:198-203. [PMID: 39463167 DOI: 10.1017/thg.2024.29] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/29/2024]
Abstract
Although the relationship between gaming addiction (GA) and attention deficit hyperactivity disorder (ADHD) is well established, the causal mechanism of this relationship remains ambiguous. We aimed to investigate whether common genetic and/or environmental factors explain the GA-ADHD relationship. We recruited 1413 South Korean adult twins (837 monozygotic [MZ], 326 same-sex dizygotic [DZ], and 250 opposite-sex DZ twins; mean age = 23.1 ± 2.8 years) who completed an online survey on GA and related traits. Correlational analysis and bivariate model-fitting analysis were conducted. Phenotypic correlation between GA and ADHD in the present sample was 0.55 (95% CI [0.51, 0.59]). Bivariate model-fitting analysis revealed that genetic variances were 69% (95% CI [64%, 73%]) and 68% (95% CI [63%, 72%]) for ADHD and GA respectively. The remaining variances (ADHD: 31%; GA: 32%) were associated with nonshared environmental variances, including measurement error. Genetic and nonshared environmental correlations between ADHD and GA were 0.68 (95% CI [0.62, 0.74]) and 0.22 (95% CI [0.13, 0.30]) respectively, which indicates that shared genes can explain 82% of the phenotypic correlation between ADHD and GA. Our study demonstrated that the ADHD-GA association was largely due to shared genetic vulnerability.
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Affiliation(s)
- Seol-Ah Lee
- Kookmin Twin Research Institute, Kookmin University, Seoul, South Korea
| | - Yoon-Mi Hur
- Kookmin Twin Research Institute, Kookmin University, Seoul, South Korea
- General College of Education, Kookmin University, Seoul, South Korea
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Xie H, Wang Y, Zhu F, Zhang F, Wu B, Zhao Z, Gan R, Gong Q, Jia Z. Genes associated with cortical thickness alterations in behavioral addiction. Cereb Cortex 2024; 34:bhae298. [PMID: 39051658 DOI: 10.1093/cercor/bhae298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2024] [Revised: 06/26/2024] [Accepted: 06/28/2024] [Indexed: 07/27/2024] Open
Abstract
Behavioral addiction (BA) is a conceptually new addictive phenotype characterized by compulsive reward-seeking behaviors despite adverse consequences. Currently, its underlying neurogenetic mechanism remains unclear. Here, this study aimed to investigate the association between cortical thickness (CTh) and genetic phenotypes in BA. We conducted a systematic search in five databases and extracted gene expression data from the Allen Human Brain Atlas. Meta-analysis of 10 studies (343 addicted individuals and 355 controls) revealed that the BA group showed thinner CTh in the precuneus, postcentral gyrus, orbital-frontal cortex, and dorsolateral prefrontal cortex (P < 0.005). Meta-regression showed that the CTh in the precuneus and postcentral gyrus were negatively associated with the addiction severity (P < 0.0005). More importantly, the CTh phenotype of BA was spatially correlated with the expression of 12 genes (false discovery rate [FDR] < 0.05), and the dopamine D2 receptor had the highest correlation (rho = 0.55). Gene enrichment analysis further revealed that the 12 genes were involved in the biological processes of behavior regulation and response to stimulus (FDR < 0.05). In conclusion, our findings demonstrated the thinner CTh in cognitive control-related brain areas in BA, which could be associated with the expression of genes involving dopamine metabolism and behavior regulation.
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Affiliation(s)
- Hongsheng Xie
- Department of Nuclear Medicine, West China Hospital of Sichuan University, No. 37 Guo Xue Alley, 610041, Chengdu, Sichuan, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, No. 37 Guo Xue Alley, 610041, Chengdu, Sichuan, China
| | - Yuanyuan Wang
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, No. 37 Guo Xue Alley, 610041, Chengdu, Sichuan, China
| | - Fei Zhu
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, No. 37 Guo Xue Alley, 610041, Chengdu, Sichuan, China
| | - Feifei Zhang
- Department of Radiology, First Hospital of Shanxi Medical University, 85 Jiefang South Road, Taiyuan, 030001, Shanxi, China
| | - Baolin Wu
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, No. 37 Guo Xue Alley, 610041, Chengdu, Sichuan, China
| | - Ziru Zhao
- Department of Nuclear Medicine, West China Hospital of Sichuan University, No. 37 Guo Xue Alley, 610041, Chengdu, Sichuan, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, No. 37 Guo Xue Alley, 610041, Chengdu, Sichuan, China
| | - Ruoqiu Gan
- Department of Nuclear Medicine, West China Hospital of Sichuan University, No. 37 Guo Xue Alley, 610041, Chengdu, Sichuan, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, No. 37 Guo Xue Alley, 610041, Chengdu, Sichuan, China
| | - Qiyong Gong
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, No. 37 Guo Xue Alley, 610041, Chengdu, Sichuan, China
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, No. 37 Guo Xue Alley, 610041, Chengdu, Sichuan, China
- Department of Radiology, West China Xiamen Hospital of Sichuan University, 699 Jinyuan Xi Road, Jimei District, 361021 Xiamen, Fujian, China
| | - Zhiyun Jia
- Department of Nuclear Medicine, West China Hospital of Sichuan University, No. 37 Guo Xue Alley, 610041, Chengdu, Sichuan, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, No. 37 Guo Xue Alley, 610041, Chengdu, Sichuan, China
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Jiang Z, Sullivan PF, Li T, Zhao B, Wang X, Luo T, Huang S, Guan PY, Chen J, Yang Y, Stein JL, Li Y, Liu D, Sun L, Zhu H. The pivotal role of the X-chromosome in the genetic architecture of the human brain. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2023.08.30.23294848. [PMID: 37693466 PMCID: PMC10491353 DOI: 10.1101/2023.08.30.23294848] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/12/2023]
Abstract
Genes on the X-chromosome are extensively expressed in the human brain. However, little is known for the X-chromosome's impact on the brain anatomy, microstructure, and functional network. We examined 1,045 complex brain imaging traits from 38,529 participants in the UK Biobank. We unveiled potential autosome-X-chromosome interactions, while proposing an atlas outlining dosage compensation (DC) for brain imaging traits. Through extensive association studies, we identified 72 genome-wide significant trait-locus pairs (including 29 new associations) that share genetic architectures with brain-related disorders, notably schizophrenia. Furthermore, we discovered unique sex-specific associations and assessed variations in genetic effects between sexes. Our research offers critical insights into the X-chromosome's role in the human brain, underscoring its contribution to the differences observed in brain structure and functionality between sexes.
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Morozova A, Ushakova V, Pavlova O, Bairamova S, Andryshenko N, Ochneva A, Abramova O, Zorkina Y, Spektor VA, Gadisov T, Ukhov A, Zubkov E, Solovieva K, Alexeeva P, Khobta E, Nebogina K, Kozlov A, Klimenko T, Gurina O, Shport S, Kostuyk G, Chekhonin V, Pavlov K. BDNF, DRD4, and HTR2A Gene Allele Frequency Distribution and Association with Mental Illnesses in the European Part of Russia. Genes (Basel) 2024; 15:240. [PMID: 38397229 PMCID: PMC10887670 DOI: 10.3390/genes15020240] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 01/31/2024] [Accepted: 02/06/2024] [Indexed: 02/25/2024] Open
Abstract
The prevalence of mental disorders and how they are diagnosed represent some of the major problems in psychiatry. Modern genetic tools offer the potential to reduce the complications concerning diagnosis. However, the vast genetic diversity in the world population requires a closer investigation of any selected populations. In the current research, four polymorphisms, namely rs6265 in BDNF, rs10835210 in BDNF, rs6313 in HTR2A, and rs1800955 in DRD4, were analyzed in a case-control study of 2393 individuals (1639 patients with mental disorders (F20-F29, F30-F48) and 754 controls) from the European part of Russia using the TaqMan SNP genotyping method. Significant associations between rs6265 BDNF and rs1800955 DRD4 and mental impairments were detected when comparing the general group of patients with mental disorders (without separation into diagnoses) to the control group. Associations of rs6265 in BDNF, rs1800955 in DRD4, and rs6313 in HTR2A with schizophrenia in patients from the schizophrenia group separately compared to the control group were also found. The obtained results can extend the concept of a genetic basis for mental disorders in the Russian population and provide a basis for the future improvement in psychiatric diagnostics.
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Affiliation(s)
- Anna Morozova
- V. Serbsky National Medical Research Centre of Psychiatry and Narcology, Kropotkinsky per. 23, 119034 Moscow, Russia; (V.U.); (O.P.); (S.B.); (A.O.); (O.A.); (Y.Z.); (T.G.); (A.U.); (E.Z.); (O.G.); (K.P.)
- Mental-Health Clinic No. 1 Named after N.A. Alekseev, Zagorodnoe Highway 2, 115191 Moscow, Russia
| | - Valeriya Ushakova
- V. Serbsky National Medical Research Centre of Psychiatry and Narcology, Kropotkinsky per. 23, 119034 Moscow, Russia; (V.U.); (O.P.); (S.B.); (A.O.); (O.A.); (Y.Z.); (T.G.); (A.U.); (E.Z.); (O.G.); (K.P.)
- Mental-Health Clinic No. 1 Named after N.A. Alekseev, Zagorodnoe Highway 2, 115191 Moscow, Russia
- Department of Neurobiology, M.V. Lomonosov Moscow State University, 119991 Moscow, Russia
| | - Olga Pavlova
- V. Serbsky National Medical Research Centre of Psychiatry and Narcology, Kropotkinsky per. 23, 119034 Moscow, Russia; (V.U.); (O.P.); (S.B.); (A.O.); (O.A.); (Y.Z.); (T.G.); (A.U.); (E.Z.); (O.G.); (K.P.)
| | - Sakeena Bairamova
- V. Serbsky National Medical Research Centre of Psychiatry and Narcology, Kropotkinsky per. 23, 119034 Moscow, Russia; (V.U.); (O.P.); (S.B.); (A.O.); (O.A.); (Y.Z.); (T.G.); (A.U.); (E.Z.); (O.G.); (K.P.)
| | - Nika Andryshenko
- Department of Biology, MSU-BIT Shenzhen University, Shenzhen 518172, China;
| | - Aleksandra Ochneva
- V. Serbsky National Medical Research Centre of Psychiatry and Narcology, Kropotkinsky per. 23, 119034 Moscow, Russia; (V.U.); (O.P.); (S.B.); (A.O.); (O.A.); (Y.Z.); (T.G.); (A.U.); (E.Z.); (O.G.); (K.P.)
- Mental-Health Clinic No. 1 Named after N.A. Alekseev, Zagorodnoe Highway 2, 115191 Moscow, Russia
| | - Olga Abramova
- V. Serbsky National Medical Research Centre of Psychiatry and Narcology, Kropotkinsky per. 23, 119034 Moscow, Russia; (V.U.); (O.P.); (S.B.); (A.O.); (O.A.); (Y.Z.); (T.G.); (A.U.); (E.Z.); (O.G.); (K.P.)
- Mental-Health Clinic No. 1 Named after N.A. Alekseev, Zagorodnoe Highway 2, 115191 Moscow, Russia
| | - Yana Zorkina
- V. Serbsky National Medical Research Centre of Psychiatry and Narcology, Kropotkinsky per. 23, 119034 Moscow, Russia; (V.U.); (O.P.); (S.B.); (A.O.); (O.A.); (Y.Z.); (T.G.); (A.U.); (E.Z.); (O.G.); (K.P.)
- Mental-Health Clinic No. 1 Named after N.A. Alekseev, Zagorodnoe Highway 2, 115191 Moscow, Russia
| | - Valery A. Spektor
- V. Serbsky National Medical Research Centre of Psychiatry and Narcology, Kropotkinsky per. 23, 119034 Moscow, Russia; (V.U.); (O.P.); (S.B.); (A.O.); (O.A.); (Y.Z.); (T.G.); (A.U.); (E.Z.); (O.G.); (K.P.)
| | - Timur Gadisov
- V. Serbsky National Medical Research Centre of Psychiatry and Narcology, Kropotkinsky per. 23, 119034 Moscow, Russia; (V.U.); (O.P.); (S.B.); (A.O.); (O.A.); (Y.Z.); (T.G.); (A.U.); (E.Z.); (O.G.); (K.P.)
| | - Andrey Ukhov
- V. Serbsky National Medical Research Centre of Psychiatry and Narcology, Kropotkinsky per. 23, 119034 Moscow, Russia; (V.U.); (O.P.); (S.B.); (A.O.); (O.A.); (Y.Z.); (T.G.); (A.U.); (E.Z.); (O.G.); (K.P.)
| | - Eugene Zubkov
- V. Serbsky National Medical Research Centre of Psychiatry and Narcology, Kropotkinsky per. 23, 119034 Moscow, Russia; (V.U.); (O.P.); (S.B.); (A.O.); (O.A.); (Y.Z.); (T.G.); (A.U.); (E.Z.); (O.G.); (K.P.)
| | - Kristina Solovieva
- Mental-Health Clinic No. 1 Named after N.A. Alekseev, Zagorodnoe Highway 2, 115191 Moscow, Russia
| | - Polina Alexeeva
- Mental-Health Clinic No. 1 Named after N.A. Alekseev, Zagorodnoe Highway 2, 115191 Moscow, Russia
| | - Elena Khobta
- Mental-Health Clinic No. 1 Named after N.A. Alekseev, Zagorodnoe Highway 2, 115191 Moscow, Russia
| | - Kira Nebogina
- V. Serbsky National Medical Research Centre of Psychiatry and Narcology, Kropotkinsky per. 23, 119034 Moscow, Russia; (V.U.); (O.P.); (S.B.); (A.O.); (O.A.); (Y.Z.); (T.G.); (A.U.); (E.Z.); (O.G.); (K.P.)
| | - Alexander Kozlov
- V. Serbsky National Medical Research Centre of Psychiatry and Narcology, Kropotkinsky per. 23, 119034 Moscow, Russia; (V.U.); (O.P.); (S.B.); (A.O.); (O.A.); (Y.Z.); (T.G.); (A.U.); (E.Z.); (O.G.); (K.P.)
| | - Tatyana Klimenko
- V. Serbsky National Medical Research Centre of Psychiatry and Narcology, Kropotkinsky per. 23, 119034 Moscow, Russia; (V.U.); (O.P.); (S.B.); (A.O.); (O.A.); (Y.Z.); (T.G.); (A.U.); (E.Z.); (O.G.); (K.P.)
| | - Olga Gurina
- V. Serbsky National Medical Research Centre of Psychiatry and Narcology, Kropotkinsky per. 23, 119034 Moscow, Russia; (V.U.); (O.P.); (S.B.); (A.O.); (O.A.); (Y.Z.); (T.G.); (A.U.); (E.Z.); (O.G.); (K.P.)
| | - Svetlana Shport
- V. Serbsky National Medical Research Centre of Psychiatry and Narcology, Kropotkinsky per. 23, 119034 Moscow, Russia; (V.U.); (O.P.); (S.B.); (A.O.); (O.A.); (Y.Z.); (T.G.); (A.U.); (E.Z.); (O.G.); (K.P.)
| | - George Kostuyk
- Mental-Health Clinic No. 1 Named after N.A. Alekseev, Zagorodnoe Highway 2, 115191 Moscow, Russia
| | - Vladimir Chekhonin
- V. Serbsky National Medical Research Centre of Psychiatry and Narcology, Kropotkinsky per. 23, 119034 Moscow, Russia; (V.U.); (O.P.); (S.B.); (A.O.); (O.A.); (Y.Z.); (T.G.); (A.U.); (E.Z.); (O.G.); (K.P.)
- Department of Medical Nanobiotechnologies, Pirogov Russian National Research Medical University, 117997 Moscow, Russia
| | - Konstantin Pavlov
- V. Serbsky National Medical Research Centre of Psychiatry and Narcology, Kropotkinsky per. 23, 119034 Moscow, Russia; (V.U.); (O.P.); (S.B.); (A.O.); (O.A.); (Y.Z.); (T.G.); (A.U.); (E.Z.); (O.G.); (K.P.)
- Mental-Health Clinic No. 1 Named after N.A. Alekseev, Zagorodnoe Highway 2, 115191 Moscow, Russia
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Bataineh BS, Hébert ET, Loukas A, Harrell MB, Yang Q, Murthy D, Schwartz S, Jung S, Wilkinson AV. Problematic social media use and vaping among Mexican-American college students. Digit Health 2024; 10:20552076241283246. [PMID: 39314818 PMCID: PMC11418370 DOI: 10.1177/20552076241283246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Accepted: 08/28/2024] [Indexed: 09/25/2024] Open
Abstract
Introduction Social media use and vaping nicotine are highly prevalent in the daily lives of young adults, especially among Mexican-American college students. The excessive and compulsive use of social media platforms, coupled with the urge to stay continuously connected, can lead to problematic social media use. To date, no studies have explored the impact of problematic social media use on the daily patterns of vaping among this vulnerable population. Methods In Spring 2023, we employed Ecological Momentary Assessment over a period of 14 days to collect real-time daily data on participants' social media use and vaping behaviors via a mobile phone-based application. Participants were 51 Mexican-American college students aged 18-25 years, 72.5% female, who were current vapers. We used generalized linear regression models to examine differences in vaping behaviors among participants with and without problematic social media use. All regression models adjusted for age, sex, and SES. Results Participants with problematic social media use vaped on an average of 5.9 days compared to 5.7 days reported by those without problematic social media use (p < .05). Problematic social media use is associated with more frequent daily vaping [b = 0.03; 95% CI: 0.02-0.05], increased number of days vaping [b = 0.14; 95% CI: 0.07-0.20], and vaping higher nicotine concentrations [b = 0.08; 95% CI: 0.03-0.14]. Conclusion Results suggest that problematic social media use significantly increases the risk of daily vaping among Mexican-American college students. Findings highlight the need to strengthen digital resilience and social media literacy to help college students navigate and mitigate the risks of social media.
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Affiliation(s)
- Bara S. Bataineh
- Department of Epidemiology, University of Texas Health Science Center at Houston (UTHealth Houston), School of Public Health, Austin, TX, USA
| | - Emily T. Hébert
- Department of Health Promotion and Behavioral Sciences, University of Texas Health Science Center at Houston (UTHealth), School of Public Health, Austin, TX, USA
| | - Alexandra Loukas
- Department of Kinesiology & Health Education, University of Texas at Austin, Austin, TX, USA
| | - Melissa B. Harrell
- Department of Epidemiology, University of Texas Health Science Center at Houston (UTHealth Houston), School of Public Health, Austin, TX, USA
| | - Qinghua Yang
- Department of Communication Studies, Bob Schiffer College of Communication, Texas Christian University, Fort Worth, TX, USA
| | - Dhiraj Murthy
- School of Journalism and Media, Moody College of Communication, University of Texas at Austin, Austin, TX, USA
| | - Seth Schwartz
- Department of Kinesiology & Health Education, University of Texas at Austin, Austin, TX, USA
| | - Sungwon Jung
- School of Journalism and Media, Moody College of Communication, University of Texas at Austin, Austin, TX, USA
| | - Anna V. Wilkinson
- Department of Epidemiology, University of Texas Health Science Center at Houston (UTHealth Houston), School of Public Health, Austin, TX, USA
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Floros G, Mylona I. Bipolar Disorder and Gaming Disorder-Compatible or Incompatible Diagnoses? J Clin Med 2023; 12:6251. [PMID: 37834895 PMCID: PMC10573592 DOI: 10.3390/jcm12196251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 09/23/2023] [Accepted: 09/26/2023] [Indexed: 10/15/2023] Open
Abstract
Gaming Disorder (GD) is one of the latest additions in the psychiatric taxonomy, following its official inclusion in the latest revision of the International Classification of Diseases (ICD-11). This narrative review examines the rationale of an exclusion criterion for the diagnosis of GD, that of disordered gaming being limited exclusively during an episode of elevated mood in bipolar disorder. The history of the formulation of diagnostic criteria for the disorder and all relevant published studies are examined critically, and conclusions are drawn as to the potential validity and usability of the exclusion criterion. Suggestions are offered for future research to elucidate not only the relevance of the exclusion criterion but also the differential diagnosis of GD with pathological gambling (PG).
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Affiliation(s)
- Georgios Floros
- 2nd Department of Psychiatry, Aristotle University of Thessaloniki, 54624 Thessaloniki, Greece
| | - Ioanna Mylona
- Department of Ophthalmology, General Hospital of Serres, 62100 Serres, Greece;
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