Effects of exercise or tai chi on Internet addiction in college students and the potential role of gut microbiota: A randomized controlled trial

Zhang, Xueqing; Yang, Huayu; Zhang, Kexin; Zhang, Jianghui; Lu, Xiaoyan; Guo, Haiyun; Yuan, Guojing; Zhu, Zhihui; Du, Jun; Shi, Haiyan; Jin, Guifang; Hao, Jiahu; Sun, Ying; Su, Puyu; Zhang, Zhihua

doi:10.1016/j.jad.2023.02.002

Cited by 7 publications

(8 citation statements)

References 41 publications

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“…Shin discussed the relationship between the Proteobacteria phylum and the gut flora ecological balance [60], declaring that Proteobacteria could be regarded as a marker of disorder in the GM community and a potential diagnostic criterion for diseases. Here, the abundance of Proteobacteria phyla displayed a reduction in six studies among the seven studies that mentioned it [14,18,21,29,33,37,39]. However, a slight increase in Proteobacteria was detected in elite athletes engaging in strenuous exercise, which might result from the negative impact on the GM because of overloaded or prolonged training.…”

Section: Other Representative Bacteriamentioning

confidence: 84%

Effects of Exercise on Gut Microbiota of Adults: A Systematic Review and Meta-Analysis

Min,

Ablitip,

Wang

et al. 2024

Nutrients

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Background: The equilibrium between gut microbiota (GM) and the host plays a pivotal role in maintaining overall health, influencing various physiological and metabolic functions. Emerging research suggests that exercise modulates the abundance and functionality of gut bacteria, yet the comprehensive effects on GM diversity remain to be synthesized. Objectives and Design: The study aims to quantitatively examine the effect of exercise on the diversity of gut microbiota of adults using a systemic review and meta-analysis approach. Methods: PubMed, Ebsco, Embase, Web of Science, Cochrane Central Register of Controlled Trials, the China National Knowledge Infrastructure, and Wanfang Data were searched from their inception to September 2023. Exercise intervention studies with a control group that describe and compare the composition of GM in adults, using 16S rRNA gene sequencing, were included in this meta-analysis. Results: A total of 25 studies were included in this meta-analysis with a total of 1044 participants. Based on a fixed-effects model [Chi2 = 29.40, df = 20 (p = 0.08); I2 = 32%], the pooled analysis showed that compared with the control group, exercise intervention can significantly increase the alpha diversity of adult GM, using the Shannon index as an example [WMD = 0.05, 95% CI (0.00, 0.09); Z = 1.99 (p = 0.05)]. In addition, exercise interventions were found to significantly alter GM, notably decreasing Bacteroidetes and increasing Firmicutes, indicating a shift in the Firmicutes/Bacteroidetes ratio. The subgroup analysis indicates that females and older adults appear to exhibit more significant changes in the Shannon Index and observed OTUs. Conclusions: Exercise may be a promising way to improve GM in adults. In particular, the Shannon index was significantly increased after exercise. Distinct responses in GM diversity to exercise interventions based on gender and age implicated that more research was needed.

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Section: Other Representative Bacteriamentioning

confidence: 84%

Effects of Exercise on Gut Microbiota of Adults: A Systematic Review and Meta-Analysis

Min,

Ablitip,

Wang

et al. 2024

Nutrients

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“…Furthermore, research indicates a moderate negative correlation between exercise and internet addiction in young people, with the relationship’s strength unaffected by data collection time, country or region, or population type ( Xiao et al, 2022 ). Exercise therapy has been shown to be effective in treating internet addiction in college students ( Zhang et al, 2023 ). Therefore, incorporating regular physical activity into higher education policies or encouraging students to engage in sports can reduce the potential threat of internet addiction to mental health.…”

Section: Discussionmentioning

confidence: 99%

Artificial intelligence significantly facilitates development in the mental health of college students: a bibliometric analysis

Chen,

Yuan,

Dong

et al. 2024

Front. Psychol.

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ObjectiveCollege students are currently grappling with severe mental health challenges, and research on artificial intelligence (AI) related to college students mental health, as a crucial catalyst for promoting psychological well-being, is rapidly advancing. Employing bibliometric methods, this study aim to analyze and discuss the research on AI in college student mental health.MethodsPublications pertaining to AI and college student mental health were retrieved from the Web of Science core database. The distribution of publications were analyzed to gage the predominant productivity. Data on countries, authors, journal, and keywords were analyzed using VOSViewer, exploring collaboration patterns, disciplinary composition, research hotspots and trends.ResultsSpanning 2003 to 2023, the study encompassed 1722 publications, revealing notable insights: (1) a gradual rise in annual publications, reaching its zenith in 2022; (2) Journal of Affective Disorders and Psychiatry Research emerged were the most productive and influential sources in this field, with significant contributions from China, the United States, and their affiliated higher education institutions; (3) the primary mental health issues were depression and anxiety, with machine learning and AI having the widest range of applications; (4) an imperative for enhanced international and interdisciplinary collaboration; (5) research hotspots exploring factors influencing college student mental health and AI applications.ConclusionThis study provides a succinct yet comprehensive overview of this field, facilitating a nuanced understanding of prospective applications of AI in college student mental health. Professionals can leverage this research to discern the advantages, risks, and potential impacts of AI in this critical field.

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“…Finally, the Internet Addiction Improvement Index (IAII) ( Zhang et al, 2021 ) was used to evaluate the tendency and severity of the subject’s internet addiction. The scale has a total of 20 items and adopts a five-level scoring method where 1 is hardly, 2 is occasionally, 3 is sometimes, 4 is often, and 5 is always.…”

Section: Methodsmentioning

confidence: 99%

A study of the interactive mediating effect of ADHD and NSSI caused by co-disease mechanisms in males and females

Cheng,

Shi,

Xie

et al. 2024

PeerJ

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Background Non-suicidal self-injury (NSSI), of which the predisposing factors are complex and diverse, profoundly affects the physical and mental health of young people. Therefore, this work established an NSSI intermediary network model considering the interaction of multiple factors. A mediating effect between attention-deficit/hyperactivity disorder (ADHD) and NSSI, considering the influence of comorbidities, such as depression, anxiety, and impulsive personality, was proposed based on sex differences. Methods A total of 2,689 middle school students in Ningbo City, Zhejiang Province, China, were randomly sampled and participated in this study. Data regarding their demographic characteristics, attention deficit, hyperactivity/impulsivity, NSSI, anxiety, depression, internet addiction, and other comorbid symptoms were collected and analyzed. After initially screening the data, variables were assessed for significance using a single-factor inter-group difference analytic method, and a binary logistic regression analysis was performed. The intermediary effect of factors influencing NSSI in males and females was also analyzed. Results The overall NSSI rate was 15.16%. The results showed that the impact of individual impulsivity characteristics (impulsiveness, the ADHD with hyperactivity/impulsivity subtype) on NSSI behavior was not significant (regression results, P > 0.05). The degree of association between ADHD with attention deficit and ADHD with comprehension deficit subtypes, and other comorbid symptoms (depression, anxiety, and internet addiction disorder) and NSSI, with odds ratios (ORs) of 7.6/6.42/436.68/3.82/1.86, and 95% bootstrap confidence intervals (CIs) of 4.64, 12.87/3.46, 12.67/137.42, 2659.13/2.32, 6.37/1.31, 2.82, respectively. The results also showed significant effects of ADHD subtypes on comorbid symptoms and the path effects of NSSI (P < 0.01). Among them, the mediating effect was the strongest when anxiety was the mediating variable, and the mediating effect of girls was higher than that of boys. Conclusion The results of this work demonstrated the influence of ADHD symptoms on NSSI behavior. Among patients with ADHD, patients with subtypes with obvious attention deficit characteristics were more likely to exhibit NSSI behavior, whereas the hyperactive impulse subtype had no direct impact on NSSI. We conclude that adolescent impulsivity may not be directly related to NSSI behavior and that impulsive characteristics jointly affect NSSI behavior through a series of NSSI comorbid symptoms. Notably, the probability of symptom onset and the degree of comorbidity was significantly higher in girls than in boys of the same age, and girls were more prone to NSSI behavior. These findings provide effective theoretical support for the prevention and treatment of adolescent NSSI behavior.

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Effects of exercise or tai chi on Internet addiction in college students and the potential role of gut microbiota: A randomized controlled trial

Cited by 7 publications

References 41 publications

Effects of Exercise on Gut Microbiota of Adults: A Systematic Review and Meta-Analysis

Effects of Exercise on Gut Microbiota of Adults: A Systematic Review and Meta-Analysis

Artificial intelligence significantly facilitates development in the mental health of college students: a bibliometric analysis

A study of the interactive mediating effect of ADHD and NSSI caused by co-disease mechanisms in males and females

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