Objectives: Cyberbullying is a modern form of violence involving intentional harassment through electronic devices. We aimed to investigate how psychological characteristics differ based on cyberbullying involvement, identify the psychological factors associated with cyberbullying, and examine whether these factors vary by gender. Methods: A survey was conducted with 449 middle school students in Cheongju, Korea. Participants were categorized into four groups based on their involvement: Neither (N), Victim (V), Perpetrator (P), and Victim-Perpetrator (VP). Psychological characteristics were assessed using the Beck Depression Inventory (BDI), Self-Esteem Scale, and Strengths and Difficulties Questionnaire (SDQ). We compared these characteristics across the four groups and examined their influence on cyberbullying involvement by gender. Results: Overall, 31.8% of participants were involved in cyberbullying, with the VP group being the largest (17.1%) among them. The VP group exhibited more severe psychopathology than the N group across most internalizing and externalizing problems. SDQ-Conduct Problems subscale scores were significantly associated with victimization and perpetration. For female participants, high SDQEmotional Symptoms subscale scores were associated with greater victimization, and high BDI scores increased the risk of belonging to the VP group. No variables significantly increased the risk of belonging to the VP group among male participants. Conclusion Adolescents who are both victims and perpetrators of cyberbullying face the most significant psychological difficulties.Factors associated with cyberbullying involvement vary by gender, highlighting the need for tailored gender-specific prevention and intervention strategies.

Objective: Cognitive interventions (CIs) are recognized for enhancing cognition and mitigating cognitive decline in dementia patients. Our study assessed the effects of a 12-week, home-based, robot-assisted CI on cognition and brain function in patients with mild Alzheimer’s disease (AD) dementia. Methods: In this single-blind randomized controlled trial, 51 patients with mild AD dementia were assigned to either a robot-assisted CI group (n=27) or a waitlist control group (n=24). The CI was conducted for 60 minutes per day over 12 weeks. The primary outcome was brain function, measured by resting-state electroencephalogram (EEG) using a 19-channel wireless EEG device and the secondary outcome was cognitive function, measured using the Cambridge Neuropsychological Test Automated Battery. No significant baseline demographic or clinical differences were observed between the groups. Eighteen participants in the robot group and 19 in the control group completed the study. Results: EEG analysis revealed a decrease in theta band activity in the mid-frontal area for the robot group, while the control group exhibited an increase in this area. In addition, the robot group showed significant cognitive improvements in working memory, visual association memory, and reaction time after the 12-week CIs. Conclusion These findings suggest that robot-assisted CIs may be associated with enhanced cognitive and brain function in patients with mild AD dementia.

Objective: The clinical presentation of depressive disorders might be influenced by age, and its diagnosis and treatment can be affected by ageism-related bias. A network analysis can reveal symptom patterns unrecognized by the reductionistic approach. Therefore, this study explores the network structure of depression and anxiety symptoms in older Asian patients with depressive disorders and examines age-related differences in the context of ageism. Methods: We used data from the Research on Asian Psychotropic Prescription Patterns for Antidepressants, Phase 3 study and included 2,785 psychiatric patients from 11 Asian countries. Depression and anxiety symptoms were assessed using the Patient Health Questionnaire-9 and Generalized Anxiety Disorder-7. Network analyses were conducted to identify symptom interconnections and centrality among older (>65 years), middle-aged (35–64 years), and young (18–34 years) adult groups. The network structures were also compared using a network comparison test. Results: Depressed mood was the most central symptom across all age groups. Network comparisons revealed no significant structural differences among the three age groups, despite several variations in terms of global strength. The network structure of the older group was characterized by strong interconnections between somatic symptoms (insomnia-energy) and core depressive symptoms (little interest or pleasure-feelings of hopelessness). Conclusion This study reveals that the network structures of depression and anxiety symptoms have relatively consistent interconnections across age groups, despite subtle age-based differences. Specifically, older adults tend to present anxiety and depression symptoms as physical complaints. These findings challenge ageist stereotypes and advocate for inclusive, age-neutral approaches to treatment.

Objective: The clinical presentation of depressive disorders might be influenced by age, and its diagnosis and treatment can be affected by ageism-related bias. A network analysis can reveal symptom patterns unrecognized by the reductionistic approach. Therefore, this study explores the network structure of depression and anxiety symptoms in older Asian patients with depressive disorders and examines age-related differences in the context of ageism. Methods: We used data from the Research on Asian Psychotropic Prescription Patterns for Antidepressants, Phase 3 study and included 2,785 psychiatric patients from 11 Asian countries. Depression and anxiety symptoms were assessed using the Patient Health Questionnaire-9 and Generalized Anxiety Disorder-7. Network analyses were conducted to identify symptom interconnections and centrality among older (>65 years), middle-aged (35–64 years), and young (18–34 years) adult groups. The network structures were also compared using a network comparison test. Results: Depressed mood was the most central symptom across all age groups. Network comparisons revealed no significant structural differences among the three age groups, despite several variations in terms of global strength. The network structure of the older group was characterized by strong interconnections between somatic symptoms (insomnia-energy) and core depressive symptoms (little interest or pleasure-feelings of hopelessness). Conclusion This study reveals that the network structures of depression and anxiety symptoms have relatively consistent interconnections across age groups, despite subtle age-based differences. Specifically, older adults tend to present anxiety and depression symptoms as physical complaints. These findings challenge ageist stereotypes and advocate for inclusive, age-neutral approaches to treatment.

Purpose: Despite extensive research on gastric cancer (GC), efforts to consolidate the numerous associations between possible factors and GC risk remain lacking. This systematic review aimed to provide an overview of potential GC-associated pairs. Materials and Methods: We systematically searched PubMed, Embase, and Cochrane databases, from their inception to April 23, 2022, for eligible systematic reviews and metaanalyses to investigate the association between any possible factors and GC risk. After the inclusion of 75 systematic reviews and meta-analyses, 117 association pairs were examined. We reanalyzed the included meta-analyses and produced effect estimates using uniform analytical models. The certainty of the evidence for each association pair was evaluated using the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) criteria. Results: Iatrogenic factors, including antibacterial drugs, were associated with an increased risk of GC. Epstein-Barr virus and Helicobacter pylori infections were also associated with an increased risk of GC, while human T-lymphotropic virus type 1 (HTLV-1) infections were associated with a reduced risk. Dietary habit was a major factor influencing moderate to high GRADE associations. Positive associations were observed for heavy alcohol consumption (relative risk [RR], 1.13; 95% confidence interval [CI], 1.06–1.12), refined grain consumption (RR, 1.36; 95% CI, 1.21–1.53), and habitual salt intake (RR, 1.41; 95% CI, 1.04–1.91). Conclusions The associations between GC risk and dietary and nutritional factors were considerably heterogeneous, whereas other factors, such as lifestyle and iatrogenic and environmental exposures, were consistent across regions. Therefore, dietary interventions for GC prevention should be tailored specific to regions.

Objective: The clinical presentation of depressive disorders might be influenced by age, and its diagnosis and treatment can be affected by ageism-related bias. A network analysis can reveal symptom patterns unrecognized by the reductionistic approach. Therefore, this study explores the network structure of depression and anxiety symptoms in older Asian patients with depressive disorders and examines age-related differences in the context of ageism. Methods: We used data from the Research on Asian Psychotropic Prescription Patterns for Antidepressants, Phase 3 study and included 2,785 psychiatric patients from 11 Asian countries. Depression and anxiety symptoms were assessed using the Patient Health Questionnaire-9 and Generalized Anxiety Disorder-7. Network analyses were conducted to identify symptom interconnections and centrality among older (>65 years), middle-aged (35–64 years), and young (18–34 years) adult groups. The network structures were also compared using a network comparison test. Results: Depressed mood was the most central symptom across all age groups. Network comparisons revealed no significant structural differences among the three age groups, despite several variations in terms of global strength. The network structure of the older group was characterized by strong interconnections between somatic symptoms (insomnia-energy) and core depressive symptoms (little interest or pleasure-feelings of hopelessness). Conclusion This study reveals that the network structures of depression and anxiety symptoms have relatively consistent interconnections across age groups, despite subtle age-based differences. Specifically, older adults tend to present anxiety and depression symptoms as physical complaints. These findings challenge ageist stereotypes and advocate for inclusive, age-neutral approaches to treatment.

Purpose: Despite extensive research on gastric cancer (GC), efforts to consolidate the numerous associations between possible factors and GC risk remain lacking. This systematic review aimed to provide an overview of potential GC-associated pairs. Materials and Methods: We systematically searched PubMed, Embase, and Cochrane databases, from their inception to April 23, 2022, for eligible systematic reviews and metaanalyses to investigate the association between any possible factors and GC risk. After the inclusion of 75 systematic reviews and meta-analyses, 117 association pairs were examined. We reanalyzed the included meta-analyses and produced effect estimates using uniform analytical models. The certainty of the evidence for each association pair was evaluated using the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) criteria. Results: Iatrogenic factors, including antibacterial drugs, were associated with an increased risk of GC. Epstein-Barr virus and Helicobacter pylori infections were also associated with an increased risk of GC, while human T-lymphotropic virus type 1 (HTLV-1) infections were associated with a reduced risk. Dietary habit was a major factor influencing moderate to high GRADE associations. Positive associations were observed for heavy alcohol consumption (relative risk [RR], 1.13; 95% confidence interval [CI], 1.06–1.12), refined grain consumption (RR, 1.36; 95% CI, 1.21–1.53), and habitual salt intake (RR, 1.41; 95% CI, 1.04–1.91). Conclusions The associations between GC risk and dietary and nutritional factors were considerably heterogeneous, whereas other factors, such as lifestyle and iatrogenic and environmental exposures, were consistent across regions. Therefore, dietary interventions for GC prevention should be tailored specific to regions.

Purpose: Despite extensive research on gastric cancer (GC), efforts to consolidate the numerous associations between possible factors and GC risk remain lacking. This systematic review aimed to provide an overview of potential GC-associated pairs. Materials and Methods: We systematically searched PubMed, Embase, and Cochrane databases, from their inception to April 23, 2022, for eligible systematic reviews and metaanalyses to investigate the association between any possible factors and GC risk. After the inclusion of 75 systematic reviews and meta-analyses, 117 association pairs were examined. We reanalyzed the included meta-analyses and produced effect estimates using uniform analytical models. The certainty of the evidence for each association pair was evaluated using the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) criteria. Results: Iatrogenic factors, including antibacterial drugs, were associated with an increased risk of GC. Epstein-Barr virus and Helicobacter pylori infections were also associated with an increased risk of GC, while human T-lymphotropic virus type 1 (HTLV-1) infections were associated with a reduced risk. Dietary habit was a major factor influencing moderate to high GRADE associations. Positive associations were observed for heavy alcohol consumption (relative risk [RR], 1.13; 95% confidence interval [CI], 1.06–1.12), refined grain consumption (RR, 1.36; 95% CI, 1.21–1.53), and habitual salt intake (RR, 1.41; 95% CI, 1.04–1.91). Conclusions The associations between GC risk and dietary and nutritional factors were considerably heterogeneous, whereas other factors, such as lifestyle and iatrogenic and environmental exposures, were consistent across regions. Therefore, dietary interventions for GC prevention should be tailored specific to regions.

Objective: The clinical presentation of depressive disorders might be influenced by age, and its diagnosis and treatment can be affected by ageism-related bias. A network analysis can reveal symptom patterns unrecognized by the reductionistic approach. Therefore, this study explores the network structure of depression and anxiety symptoms in older Asian patients with depressive disorders and examines age-related differences in the context of ageism. Methods: We used data from the Research on Asian Psychotropic Prescription Patterns for Antidepressants, Phase 3 study and included 2,785 psychiatric patients from 11 Asian countries. Depression and anxiety symptoms were assessed using the Patient Health Questionnaire-9 and Generalized Anxiety Disorder-7. Network analyses were conducted to identify symptom interconnections and centrality among older (>65 years), middle-aged (35–64 years), and young (18–34 years) adult groups. The network structures were also compared using a network comparison test. Results: Depressed mood was the most central symptom across all age groups. Network comparisons revealed no significant structural differences among the three age groups, despite several variations in terms of global strength. The network structure of the older group was characterized by strong interconnections between somatic symptoms (insomnia-energy) and core depressive symptoms (little interest or pleasure-feelings of hopelessness). Conclusion This study reveals that the network structures of depression and anxiety symptoms have relatively consistent interconnections across age groups, despite subtle age-based differences. Specifically, older adults tend to present anxiety and depression symptoms as physical complaints. These findings challenge ageist stereotypes and advocate for inclusive, age-neutral approaches to treatment.

Objective: The clinical presentation of depressive disorders might be influenced by age, and its diagnosis and treatment can be affected by ageism-related bias. A network analysis can reveal symptom patterns unrecognized by the reductionistic approach. Therefore, this study explores the network structure of depression and anxiety symptoms in older Asian patients with depressive disorders and examines age-related differences in the context of ageism. Methods: We used data from the Research on Asian Psychotropic Prescription Patterns for Antidepressants, Phase 3 study and included 2,785 psychiatric patients from 11 Asian countries. Depression and anxiety symptoms were assessed using the Patient Health Questionnaire-9 and Generalized Anxiety Disorder-7. Network analyses were conducted to identify symptom interconnections and centrality among older (>65 years), middle-aged (35–64 years), and young (18–34 years) adult groups. The network structures were also compared using a network comparison test. Results: Depressed mood was the most central symptom across all age groups. Network comparisons revealed no significant structural differences among the three age groups, despite several variations in terms of global strength. The network structure of the older group was characterized by strong interconnections between somatic symptoms (insomnia-energy) and core depressive symptoms (little interest or pleasure-feelings of hopelessness). Conclusion This study reveals that the network structures of depression and anxiety symptoms have relatively consistent interconnections across age groups, despite subtle age-based differences. Specifically, older adults tend to present anxiety and depression symptoms as physical complaints. These findings challenge ageist stereotypes and advocate for inclusive, age-neutral approaches to treatment.