Investigating the Associations of ADHD Symptoms, Impulsivity, Physical Exercise, and Problematic Pornography Use in a Chinese Sample

Zhang, Ying; Chen, Lijun; Jiang, Xiaoliu; Bőthe, Beáta

doi:10.3390/ijerph192215221

Cited by 4 publications

(2 citation statements)

References 85 publications

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“…This study pointed out the same results. We found that articipants not engaging in regular physical exercise were more likely to experience IA, depression, and PA, which supports findings from previous Bangladeshi and other studies 65–68 . Research more generally has indicated that those experiencing these disorders tend to have more sedentary lifestyles 69,70 .…”

Section: Discussionsupporting

confidence: 88%

“…We found that articipants not engaging in regular physical exercise were more likely to experience IA, depression, and PA, which supports findings from previous Bangladeshi and other studies. 65 , 66 , 67 , 68 Research more generally has indicated that those experiencing these disorders tend to have more sedentary lifestyles. 69 , 70 According to a recent study, healthy individuals experience less IA, depression, and PA than individuals who are obese.…”

Section: Discussionmentioning

confidence: 99%

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Post‐COVID‐19 internet addiction, depression, and pornography addiction among adolescents: Findings from a nationwide study in Bangladesh

Siddik,

Pervin,

Syfullah

et al. 2024

Health Science Reports

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Background and AimsRegulations response to COVID‐19 has increased internet addiction (IA), depression, and pornography addiction (PA) among adolescents worldwide. The objective of this nationwide study was to assess the current prevalence rate of IA, depression, and PA after the post‐COVID‐19 period among school‐going adolescents in Bangladesh.MethodsA total of 8832 male and female adolescents participated in this research. The cross‐sectional study was conducted online using a simple random sampling method. Including the sociodemographic variables, Young's IA Test (IAT‐20) Scale, Patient Health Questionnaire (PHQ‐9), and Pornography Craving Questionnaire (PCQ‐12) were used to measure IA, depression, and PA. By SPSS version 25.0, the prevalence and correlation between IA, depression, and PA were analyzed using the Chi‐square test, binary logistic regression, and a bivariate co‐relation matrix.ResultsSixty‐three percent, 76.6%, and 62.9% of the students were suffering from IA, depression, and PA respectively. Depressive and anxious symptoms were significantly associated with IA. Female students were more depressed than males. Males were more addicted to pornography than females. Students who utilized social media but didn't exercise had greater depression and PA. IA, depression, and PA were correlated.ConclusionThe research emphasizes the need for comprehensive mental health treatments, digital literacy programs, and family and teacher participation to reduce IA, depression, and PA among adolescents post‐COVID‐19. Promotion of physical exercise and supporting policies to build safer online settings for adolescents are also encouraged.

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Section: Discussionsupporting

confidence: 88%

Section: Discussionmentioning

confidence: 99%

Post‐COVID‐19 internet addiction, depression, and pornography addiction among adolescents: Findings from a nationwide study in Bangladesh

Siddik,

Pervin,

Syfullah

et al. 2024

Health Science Reports

View full text Add to dashboard Cite

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Hypersexuality in Kayakers: Roles of Sport, Gender, and Perceived Stress

Szabo,

Bőthe,

Lazur

et al. 2024

Sexual Health & Compulsivity

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Pornography use, problematic pornography use, impulsivity, and sensation seeking: a meta-analysis

Bocci Benucci,

Di Gesto,

Ghinassi

et al. 2024

The Journal of Sexual Medicine

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Background While some individuals engage in recreational pornography use (PU), others may develop an uncontrolled pattern of use termed problematic pornography use (PPU). PPU is characterized by persistent, excessive, or compulsive engagement with pornographic content, despite distress and adverse consequences. Impulsivity has been identified as a factor associated with PU and PPU. Aim The present meta-analysis aims to sum up the existing research on the relationship between impulsivity and PU/PPU and investigate whether age and gender could moderate this relationship. Methods A keyword-based systematic literature search was performed to identify articles that assessed PU/PPU and impulsivity. Extracted correlations were converted into Fisher’s Z. Meta-regression analyses were also performed. Publication bias was assessed by Egger’s regression intercept. Outcomes Outcomes included general impulsivity and its dimensions (ie, negative and positive urgency, lack of premeditation and perseverance), sensation seeking, PU, and PPU. Results Meta-analytic results of the random effects model showed a significant positive correlation between impulsivity as total score and PU (n = 1504, k = 4, Fisher’s Z = 0.21, P < .001) and PPU (n = 20174, k = 13, Fisher’s Z = 0.17, P < .001). Significant and positive associations were also found between sensation seeking and PU (n = 11707, k = 11, Fisher’s Z = 0.14, P < .001) and PPU (n = 20152, k = 9, Fisher’s Z = 0.06, P < .001). Concerning the relationship between PPU and different dimensions of impulsivity, almost all the associations were significant and positive. The dimension of positive urgency and attentional and nonplanning impulsivity showed the strongest association. Age (β = –0.50, Q = 101.26, df = 11, P < .001) and gender (female = 1; β = –0.46, Q = 102.54, df = 12, P < .001) moderated the association between general impulsivity and PPU. No risk of publication bias emerged. Clinical Implications Prevention programs of PPU should focus on impulsivity and certain key dimensions (eg, positive urgency, attentional and nonplanning impulsivity) and be tailored to individual impulsivity profiles, considering age and gender differences. Strengths and Limitations The primary strength of this meta-analysis is that it considers various conceptualizations of impulsivity. However, the results are to be interpreted with caution since >30% of relevant studies had to be excluded because information could not be gathered from the study authors. Conclusion These results suggest that general impulsivity is linked to PU and PPU and that specific dimensions of impulsivity (ie, attentional impulsivity, nonplanning impulsivity, and positive urgency) can serve as risk factors for PPU.

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Investigating the Associations of ADHD Symptoms, Impulsivity, Physical Exercise, and Problematic Pornography Use in a Chinese Sample

Cited by 4 publications

References 85 publications

Post‐COVID‐19 internet addiction, depression, and pornography addiction among adolescents: Findings from a nationwide study in Bangladesh

Post‐COVID‐19 internet addiction, depression, and pornography addiction among adolescents: Findings from a nationwide study in Bangladesh

Hypersexuality in Kayakers: Roles of Sport, Gender, and Perceived Stress

Pornography use, problematic pornography use, impulsivity, and sensation seeking: a meta-analysis

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