Risk Of Internet Addiction Research Articles

Exploring internet addiction during Covid-19 pandemic: a comparative study considering psychological, social, familial and individual aspects in University students.

Internet addiction causes a variety of social, interpersonal, psychological, and physical issues. We are confronting a worldwide crisis about internet addiction and its effects. Utilizing five questionnaires to survey university students during the COVID-19 epidemic, the current study sought to evaluate internet addiction and associated risk variables. At the University of Medical Sciences in North Iran, a cross-sectional analytical investigation was carried out. The sample was done among 318 students, selected through the random cluster sampling method. Data collection was done during August and September 2021. Based on our findings, the prevalence of internet addiction was 28.9% (92/318). Our results revealed that women are at twice the twice the risk of internet addiction as men (p = 0.028). Students in the medicinal field (p = 0.043; students with a positive history of mental illness in the family) p = 0.001 (and students with a fear of COVID-19) p = 0.002 (recognized in the risk of Internet addiction, thus depression) p < 0.001 (anxiety) p < 0.001 (somatization) p = 0.001 (and psychological distress) p < 0.001 are risk factors for internet addiction. Age, marital status, place of living, total social support, and use of Alcohol/cigarettes are not risk factors for internet addiction. The findings suggest that university students with a fear of COVID-19, depression, anxiety, somatization, psychological distress and a positive history of mental illness in the family, particularly medicinal field students, are at significant risk for Internet addiction.

Socio-demographic factors and different internet-use patterns have different impacts on internet addiction and entail different risk profiles in males and females: Factors Impact on internet addiction

Socio-demographic factors and different internet-use patterns have different impacts on internet addiction and entail different risk profiles in males and females: Factors Impact on internet addiction

Associations between cognitive disengagement syndrome, Internet addiction, and Internet gaming disorder among medical students – A cross-sectional study

Background: Internet addiction (IA) and gaming disorder (IGD) are emerging public health concerns among youth. Sluggish cognitive tempo (SCT)/cognitive disengagement syndrome has been linked with risky online behaviors, but the literature on medical students is limited. Aim: To determine associations between SCT, IA, and IGD in Indian medical undergraduates. Materials and Methods: The study included 303 medical students (ages: 18–24, 66% male). The Sociodemographic Information Form, Barkley SCT Scale, Young Internet Addiction Test-Short Form, and The Digital Game Addiction Scale were utilized to collect data. Contingency Table analyses, Mann–Whitey U-test, Chi-square test, and correlation analyses were used for analysis. Results: The prevalence of IA and IGD was 101 (33.3%) and 61 (20%), respectively. Students with IA or IGD had significantly higher SCT, daydreaming, and sluggishness scores (P &lt; 0.01). SCT, daydreaming, and sluggishness showed significant positive correlations with IA and IGD severity (P &lt; 0.01). Conclusion: Greater SCT symptoms demonstrated significant associations with increased risk of IA and IGD among medical students. Screening for SCT alongside IA and IGD may enable targeted interventions to promote healthy Internet use.

From temperament to YouTube: exploring the link between childhood temperament, YouTube usage patterns, and emotional/behavioral problems among children

BackgroundYouTube is a widely used video sharing and social networking platform among children and adolescents. However, research on YouTube usage among this population remains scarce. Specifically, studies on factors that influence children and adolescents' usage are clinically significant but largely lacking. Additionally, few studies have examined the association between usage and emotional/behavioral problems, which is fundamental to smartphone research. Therefore, this study explored the relationship between early childhood temperament, subsequent YouTube usage patterns, and emotional/behavioral problems.MethodsThe Kids Cohort for Understanding Internet Addiction Risk Factors in Early Childhood (K-CURE) is the first long-term prospective cohort study in Korea aimed at understanding the long-term effects of media exposure on young children. The study included 195 children aged 8–11 years enrolled in the K-CURE study. Caregivers, predominantly mothers, who voluntarily participated during their visits to community centers for children’s mental health in Korea’s major cities, completed a detailed self-administered survey. Childhood temperament was measured in 2018 when the children were 5–8 years old. Subsequent YouTube usage patterns and emotional/behavioral problems were assessed in 2021. Data were analyzed using frequency analysis, correlation analysis, and multiple linear regression.ResultsThe study found that 21.0% of children started using YouTube before age 4, with the most common onset age being 8–9 years (30.3%). These children used YouTube on average 4.8 days per week for 68.5 min per day. Early childhood persistence was negatively associated with the subsequent YouTube usage duration, and the age at first YouTube use was negatively correlated with subsequent usage frequency. Furthermore, a younger age at first YouTube use and higher usage frequency were significantly associated with increased emotional/behavioral problems.ConclusionsIn the YouTube environment, where content is automatically recommended based on user preferences, traits related to usage patterns may be associated with persistence, which is linked to self-regulation. Considering the current trend where children use smartphones, contents frequently for very short durations, our findings highlight the importance of self-regulation in the media usage of children who are still developing. Additionally, our results provide fundamental information for future YouTube studies and illustrate similarities and differences between smartphone and YouTube research.

Examining the association of family environment and children emotional/behavioral difficulties in the relationship between parental anxiety and internet addiction in youth.

Associations between parental anxiety and adolescent internet addiction have been documented in the literature; however, few studies have analyzed the role of the family environment in this relationship. This study aims to explore the relationship between parental anxiety and adolescent internet addiction while also investigating the indirect relationships involving multiple dimensions of the family environment and child emotional behavior issues. Surveys were conducted among 6,296 parent-child pairs. We administered SDQ, CIAS-R, and FES-CV to assess adolescents' issues and internet addiction, and evaluate family environment. Additionally, parents completed GAD-7 to assess parental anxiety levels.Results: Correlation analysis revealed that the family environment and adolescent emotional behavior issues played an indirect relationship in the link between parental anxiety and internet addiction. The findings emphasize the importance of addressing parental anxiety and fostering a positive family environment as effective measures to alleviate adolescent emotional behavior problems and reduce the risk of internet addiction.

Factors Related to Internet Addiction in Adolescents: A Cross-Sectional Study.

The term "internet addiction" (IA) describes a compulsive behavior associated with any online activity that disrupts everyday social interactions. Main aim of this research was to determine variables and development predictors of Internet addiction. A total of 1,669 respondents participated in this research; 1,040 of them (62.3%) were female, 590 (35.4%) were male, and 39 (2.3%) did not want to declare their gender. The average age of the respondents was 15.09±1.757. Data were collected using an online form consisted of demographic data, questions related to the use of the Internet, the Internet Addiction Scale, and the Temperament Evaluation of Memphis, Pisa, Paris, and San Diego-auto questionnaire version (TEMPS-A) for adolescents. The relationship between Internet addiction and age, addictive substance use frequency, purpose, time spent on the internet, and type of temperament has been proven. Analysis results indicate that the risk of developing internet addiction is higher if an adolescent spends 1-3 hours and more than 3 hours daily (2.8 and 8.2 times, respectively). Increasing age numbers for 1 unit (year), the risk of internet addiction developing is decreasing by 11.3%. Hyperthymic temperament type decreases the risk of 70.9% of internet addiction developing. It is important to highlight importance of our results since practitioners can utilize our findings to create targeted treatments and prevent internet addiction in adolescents.

Internet Addiction and COVID-19 Misbeliefs Among Hungarian Online Gamers: A Cross-Sectional Study.

The internet has become a part of everyday life, and during the COVID-19 pandemic the rate of internet use has raised even higher, which increases the possibility of compulsive and problematic use leading to the acceptance of online misbeliefs and conspiration theories. This cross-sectional study aimed to explore the relationship between COVID-19-related misconceptions and internet addiction among adult recreational online gamers. A sample of 1671 recreational video game users completed the online survey (male: n = 1522 (91.08%), mean age = 21.83, SD = 4.18; female: n = 149 (8.91%), mean age = 24.33, SD = 8.38). Demographic questions, risk factors and health-related questions, internet use and addiction were measured alongside a short questionnaire about common COVID-19-related topics, such as its origin and risk of infection. Out of all participants 248 (14.8%) answered all the COVID-19-related questions properly, thus having no misconceptions, while 545 (32.6%) had one wrong answer, 532 (31.8%) had 2 wrong answers, 251 (15.0%) had 3 wrong answers, 78 (4.7%) had 4 wrong answers and 17 (1.0%) had 5 wrong answers. Significant factors to a higher number of COVID-misconceptions were time spent studying (χ2 (35,1671) = 63.86, p = 0.002), marital status (χ2 (15,1671) = 30.65 p = 0.01) and secondary employment (χ2 (51,671) = 14.88, p = 0.01). Although 17.1% of the participants reached the threshold score for internet addiction, the predictors of COVID-19 misconceptions were marital status (β = -0.06, p = 0.01) and time spent studying (β = 0.05, p = 0.03), while neither daily internet use, internet addiction scores or risk factors predicted these misconceptions in a linear regression model. Our study concludes that Internet addiction did not directly influence misconceptions about the COVID-19 pandemic in this population despite the surprisingly high rate of problematic users.

The effect of childhood harshness and unpredictability on Internet addiction among college students: The mediating effect of self-control

College students are inevitably online and at risk of becoming addicted. Life history theory provides an explanatory framework for individual differences in Internet addiction, and childhood harshness and unpredictability may be important antecedents. However, it is unclear whether and how childhood harshness and/or unpredictability affect Internet addiction during college. In this study, we recruited 483 Chinese college students and assessed their childhood harshness, unpredictability, self-control, and Internet addiction. The results of path analysis showed that childhood unpredictability was positively associated with Internet addiction among college students and was partially mediated by self-control. The effect of harshness on Internet addiction showed a suppression effect, i.e., the direct effect of harshness on Internet addiction was negative and the indirect effect through self-control was positive. This suggests that the high risk of Internet addiction stems from harshness and unpredictability in childhood, but that the effects of these factors are independent and distinct. Self-control plays an important role in this process, but many internal mechanisms remain to be tested in future research.

Digital Interventions for Combating Internet Addiction in Young Children: Qualitative Study of Parent and Therapist Perspectives.

Internet addiction is an emerging mental health issue in this digital age. Nowadays, children start using the internet in early childhood, thus making them vulnerable to addictive use. Previous studies have reported that the risk of internet addiction tends to be higher in lower-income regions with lower quality of life, such as Indonesia. Indonesia has high risks and prevalence of internet addiction, including in children. Digital interventions have been developed as an option to combat internet addiction in children. However, little is known about what parents and therapists in Indonesia perceive about these types of interventions. This study aims to investigate the experiences, perceptions, and considerations of parents and therapists regarding digital interventions for combating internet addiction in young Indonesian children. This study used a qualitative exploratory approach through semistructured interviews. We involved 22 parents of children aged 7 to 11 years and 6 experienced internet addiction therapists for children. The interview data were transcribed and analyzed using thematic analysis. Participants in this study recognized 3 existing digital interventions to combat internet addiction: Google Family Link, YouTube Kids, and Apple parental control. They perceived that digital interventions could be beneficial in continuously promoting healthy digital behavior in children and supporting parents in supervision. However, the existing interventions were not highly used due to limitations such as the apps' functionality and usability, parental capability, parent-child relationships, cultural incompatibility, and data privacy. The findings suggest that digital interventions should focus not only on restricting and monitoring screen time but also on suggesting substitutive activities for children, developing children's competencies to combat addictive behavior, improving digital literacy in children and parents, and supporting parental decision-making to promote healthy digital behavior in their children. Suggestions for future digital interventions are provided, such as making the existing features more usable and relatable, investigating gamification features to enhance parental motivation and capability in managing their children's internet use, providing tailored or personalized content to suit users' characteristics, and considering the provision of training and information about the use of interventions and privacy agreements.

Personality Traits and Internet Addiction among Adolescent Students: The Moderating Role of Family Functioning.

Objectives: Internet addiction is a behavioral addiction characterized by excessive and compulsive use of the internet. The risk of internet addiction among adolescents has risen recently due to an increase in technological advancement and globalization. However, previous studies have focused on the precipitating factors triggering the internet addiction without looking at the exogenous factors and boundary conditions, such as family functioning, that can either sustain or weaken such behavior. Thus, the present study aimed to examine the moderating role of family functioning in the relationship between personality traits and internet addiction among adolescents. Methods: This study is a cross-sectional study consisting of 3150 adolescent students in the grade/class level of JSS1-SS3 who were assessed with standardized measures of the Big-Five Personality Inventory, Internet Addictive Test, and Family APGAR Index. Pearson correlation was used to explore the bivariate relationships between the demographic variable and other variables of interest, while Hayes regression-based PROCESS macro for SPSS was used to test the Hypotheses. Results: (1) Openness to experience, conscientiousness, extraversion, and neuroticism positively correlated with internet addiction, whereas agreeableness was negatively associated with internet addiction. (2) Positive family functioning correlated negatively with internet addiction. (3) Positive family functioning moderated the relationships of extraversion and agreeableness with internet addiction but not on openness to experience, conscientiousness, and neuroticism with internet addiction. Conclusions: Positive family functioning correlated negatively with internet addiction among adolescents, suggesting that improving family functioning would be a valuable tactic for reducing adolescents' susceptibility to personality-related internet addiction.

The comparison between opiate use disorder patients in the remission state with healthy volunteers regarding behavioral addictions

ABSTRACT Objective The present study aimed to compare the patients with opiate use disorder (OUD) and healthy volunteers with respect to behavioral addictions (gambling, excessive shopping, internet, and exercise). Methods Our study included 100 OUD patients in the remission state for at least one month who had been diagnosed according to DSM-5 diagnostic criteria and completed detoxification therapy and 100 healthy volunteers. Sociodemographic Data Form, South Oaks Gambling Screen (SOGS), Compulsive Online Shopping Scale (COSS), Exercise Addiction Scale (EAS), and Internet Addiction Scale (IAS) were administered to all participants. Results Mean ages were 31.62 ± 6.48 and 31.67 ± 7.8 years in the OUD and healthy volunteer groups, respectively (p = NS). Male participants constituted 90% (n = 90) of both groups. Similar SOGS (p = NS), COSS (p = NS), and EAS (p = NS) scores were detected in both groups. IAS scores of healthy controls were found significantly higher than the OUD group (p < .001). Conclusion According to our study results, we can state that OUD patients in the remission state are similar with general population with respect to exercise, gambling, and shopping addictions whereas their risk for internet addiction is lower than the general population.

The mediating effect of subject well-being between physical activity and the internet addiction of college students in China during the COVID-19 pandemic: a cross-sectional study.

Internet addiction poses a significant threat to the health of college students worldwide, but physical activity, as a highly safe and effective rehabilitative measure, has shown promise for alleviating this issue nowadays. However, during the COVID-19 pandemic, the mediating processes in this association remained unclear. This study aims to explore the impact of physical activity on internet addiction among college students and the mediating role of subjective well-being. A survey was conducted on 216 eligible college students using the physical activity level scale, the internet addiction test, and the subjective well-being scale. For data analysis, independent sample t-tests, correlation analysis, hierarchical regression analysis, and mediating effect tests were in turn carried out in this work. The study revealed noteworthy gender disparities in physical activity and internet addiction among college students (β = -0.356, p < 0.01; β = 0.140, p < 0.05). Compared to females, male students manifest elevated levels of physical activity and lower scores in internet addiction. Physical activity and subjective well-being exerted a significantly negative predictive influence on internet addiction (β = -0.162, p < 0.05; β = -0.508, p < 0.001). What's more, subjective well-being assumed a crucial mediating role in the relationship between physical activity and internet addiction, with the mediating effect accounting for 72.81% of the total effect. This study deepens the understanding of how physical activity reduces internet addiction risk while emphasizing that enhancing subjective well-being is an effective strategy for college students to cope with Internet addiction.

Suicide warning signs that are challenging to recognize: a psychological autopsy study of Korean adolescents

BackgroundIn South Korea, the leading cause of youth death has been suicide for about 20 years. In this study, we conducted a multi-method psychological autopsy to identify the psychiatric diagnosis, developmental history, personality traits, family history, school life, warning signs of suicide, and risk factors related to suicide for the first time in Korea.MethodsThis was a postmortem, retrospective, and descriptive study of 36 adolescents who died by suicide between August 2015 and July 2021 in South Korea. We obtained qualitative and quantitative data from the Korean Psychological Autopsy of Adolescent, conducted by the Suicide and School Mental Health Institute, the official student mental health policy-focused research institute of the Korean Ministry of Education.ResultsThe adolescents comprised equal percentage of girls and boys. Approximately half of the deaths (55.6%) occurred at home and most (72.2%) involved jumping from a height. Most of the adolescents (97.2%) had one major psychiatric disorder before death, with depressive disorder being the most prevalent (75%). They were at a high risk for internet addiction before death. The most common personality trait was avoidance (28.6%), followed by submissiveness (27.3%). Half of the parents reported that the adolescents were satisfied with their school life and the teachers observed that they had no behavioral problems. One year before death, seven (19.4%) adolescents injured themselves and five (13.9%) had attempted suicide. Most of the deceased (80.6%) had expressed suicide warning signs to their families within one year before death. Adolescents had a long experience of family-related adverse events.ConclusionsMost of the adolescents had mental health disorders and expressed suicidal intentions using verbal and nonverbal signs. However, it was challenging for families to recognize the risk signs because of adolescents’ personality traits or a good school life. To prevent adolescent suicide, adolescents, parents, and teachers need to be educated to recognize signs of suicide warning signs and equipped to guide adolescents to appropriate care.

Emotional and Behavioural Factors Predisposing to Internet Addiction: The Smartphone Distraction among Italian High School Students.

In a digitally oriented society, smartphones provide continual online accessibility to daily life while simultaneously predisposing adolescents to engage in prolonged connections for various purposes, thus escalating the risk of Internet addiction (IA). Cognitive processes such as multitasking and attentional shifting are frequently associated with smartphone activities. Additionally, online engagements may serve as emotional strategies for regulating negative states (e.g., boredom and distress), redirecting attention towards more gratifying activities, such as social media contents. This study delves into cognitive-emotional processes (i.e., emotion regulation, attention impulsiveness, online vigilance, and multitasking) and emotional/behavioural factors (i.e., emotional problems, conduct problems, hyperactivity/inattention, peer relationships, and prosocial behaviours) that may be implicated in smartphone activities and technology addiction among adolescents. A community sample of Italian high school students (N = 676; 42.2% females) completed the Smartphone Distraction Scale (SDS), the Strength and Difficulties Questionnaire (SDQ) for internalising/externalising symptoms and the Internet Addiction Test (IAT) to assess the presence and severity of IA. The scores on the SDS were found to be positively associated with IA levels. Furthermore, students exhibiting higher internalising/externalising symptoms, particularly those with traits of attention deficit hyperactivity disorder (ADHD), are more likely to manifest problematic smartphone usage. The implications for screening adolescents more susceptible to developing IA symptoms and for implementing preventive interventions are discussed.

Empirical comparison of clustering and classification methods for detecting Internet addiction

Machine learning methods for clustering and classification are widely used in various domains. However, their performance and applicability may depend on the characteristics of the data and the problem. In this paper, we present an empirical comparison of several clustering and classification methods using WEKA, a free software for machine learning. We apply these methods to the data collected from surveys of students from different majors, aiming to detect the signs of Internet addiction (IA), a behavioural disorder caused by excessive Internet use. We use Expectation Maximization, Farthest First and K-Means for clustering, and AdaBoost, Bagging, Random Forest and Vote for classification. We evaluate the methods based on their accuracy, complexity and interpretability. We also describe the models developed by these methods and discuss their implications for identifying the respondents with IA symptoms and risk groups. The results show that these methods can be effectively used for clustering and classifying IA-related data. However, they have different strengths and limitations when choosing the best method for a specific task.

Психофизиологические особенности студентов с разным уровнем риска интернет-зависимого поведения

Internet addiction is a behavioral problem that is rapidly growing increasingly widespread, especially among higher education students. This study aimed to profile psychophysiological characteristics of students at different levels of risk of developing behavior-modifying internet addiction. We invited 261 students and established their levels of internet addiction using the Chen Internet Addiction Scale, then formed two groups: group 1 — students showing no signs of internet addiction; group 2 — students prone to internet addiction. Students' mental and social health and quality of life were assessed. Compared to the participants from group 1, group 2 students were found to exhibit 1.7 times more intense compulsive symptoms, 1.5-fold stronger withdrawal and tolerance symptoms, and had intrapersonal/health issues and time management problems that were 1.3 and 1.4-fold more grave, respectively; all these factors contributed to their predisposition to internet addiction. The risk of internet addiction in group 2 externalized as greater irritability (1.5-fold higher than in group 1), resentment (1.4-fold higher), feelings of guilt and hostility (1.3-fold more intense), verbal aggression (1.2-fold), stress (1.3-fold), anxiety and negative emotional experiences (1.2-fold), and 1.2 times lower quality of life in terms of its psychological component. The resulting data suggest the need for prevention measures designed to reduce the risk of internet addiction through management of negative emotional states in students with the help of socio-psychological inventory.

Portuguese Validation of a Reduced Version of the IAT (Internet Addiction Test) Scale—Youth Version

This study adapted and assessed a shortened version of the IAT (Internet Addiction Test) scale completed by young people aged 12 years and older regarding their online behaviors and risk of online addiction. The psychometric qualities of the reduced version (Screening IAT—youth) are presented in order to validate the use of this version in the early detection of online addiction. The total sample was composed of 3021 participants that were 55.9% female and 44.1% male, with a mean age of x = 15 years (σ = 3.028), attending junior high school (56.2%), high school (37.8%), and college (5.9%). The procedure included a factorial analysis in which the total sample was randomly divided into three samples. An exploratory factor analysis was performed with one part of the sample, and a confirmatory factor analysis was performed with the other parts, assessing internal consistency, construct reliability, and discriminant validity. The results indicate that this reduced version of the IAT for young people has good psychometric qualities and that it can be applied in research and clinical settings. With this version and the parent–teacher version, there is a direct contribution to a tripartite assessment of internet addiction risk.

Prevalence of Internet Addiction and Its Associated Risk Factors Among Medical Students in Sudan: A Cross-Sectional Study.

Background Internet addiction has been studied extensively worldwide and shown to have adverse social, psychological, and functional consequences. It has become a global health issue, particularly among young adults. Unfortunately, few studies have been conducted among medical students in Sudan. This study aimed to measure the prevalence of internet addiction and determine its associated risk factors among medical students in Sudan. Methods This cross-sectional study was conducted among medical students using a systematic sampling technique. An online structured questionnaire was used, which included sociodemographic data and the Internet Addiction Test (IAT) to assess the presence and severity of internet addiction, as well as the Kessler Questionnaire to assess psychological distress. Results Among the 307 medical students who participated in this study, 63.8% (n=196) were female. The majority 78.5% (n=242) were aged 18-22 years, and the prevalence of internet addiction was 75.5% (n=232). The addiction levels were as follows: mild, 39.7% (n=122); moderate, 33.2% (n=102); and severe, 2.6% (n=8). Multivariate regression analysis revealed that being a female medical student was associated with a 1.9 times higher risk of internet addiction (adjusted odds ratio (AOR) = 1.87, p = 0.033). Psychological distress was associated with a 6.368-fold higher risk of internet addiction compared to non-distressed students (AOR = 6.368, p < 0.001). Additionally, students in the clinical years had a lower risk of internet addiction, specifically in the fourth and fifth years (AOR = 0.325, p = 0.010; AOR = 0.398, p = 0.043, respectively). Conclusions This study found a high prevalence of internet addiction among medical students at the National University, Khartoum, Sudan, which was strongly associated with mental distress. Effective awareness programs, potentially initiated by educational authorities, are required to educate students on limiting excessive internet usage and addressing associated risk factors. Future research should include longitudinal and multi-university studies to obtain more generalizable results and toinvestigate the relationship between internet addiction and mental distress more robustly.

Lack of Parental Control Is Longitudinally Associated With Higher Smartphone Addiction Tendency in Young Children: A Population-Based Cohort Study.

The purpose of the current study was to examine the risk factors of young children's smartphone addiction in a longitudinal study design. Data collected from 313 participants (mean age, 4.5 ± 0.82 years; male, 49.8%) over 4 years for Kids Cohort for Understanding of Internet Addiction Risk Factors in Early Childhood were analyzed in this study. Mixed effect models were used to evaluate the influence of various variables on the repeated measures of smartphone addiction tendency in young children over time. The multi-level analysis showed that parents' lack of control over children's smartphone use (t = -4.523; 95% confidence interval [CI], -7.32, -1.72), and parents' higher smartphone addiction proneness (t = 6.340; 95% CI, 0.23, 0.440) predicted higher smartphone addiction tendency in young children. The responsibility of the parents to prevent their children from becoming addicted to smartphones should start in a very early age when they start using the smartphones.

Relationship between fruit and vegetable consumption and internet addiction with insomnia and depression as multiple mediators during the COVID-19 pandemic: a three-wave longitudinal study in Chinese college students

BackgroundThe relationships between fruit and vegetable consumption (FV) and Internet addiction (IA) in college students still remained unknown together with the internal mechanisms. Given the limitations of previous cross-sectional design, longitudinal research was necessary to be conducted to explore more precise correlations. Using the three-wave data in a longitudinal design, this study aimed to explore the association between FV and IA among Chinese college students and potential multiple mediators of insomnia and depression during the COVID-19 pandemic.MethodsA total of 579 college students were recruited during three waves (T1: August 2020; T2: November 2020; T3: February 2021). FV (T1), insomnia (T2), depression (T2) and IA (T3) symptoms were reported. The descriptive statistics of the sociodemographic characteristics and correlation analyses of the study variables were calculated. The significance of the mediation effects was measured conducting a bootstrap method with SPSS PROCESS macro.ResultsFV was negatively correlated with IA, and lower FV predicted higher risk of IA. Depression mediated the association between FV and subsequent IA. Insomnia and depression were multiple mediators, which in turn mediated the links between FV and subsequent IA.ConclusionsThe three-wave longitudinal study has revealed that FV had indirect effects on IA through individual mediating factor of depression and multiple mediating roles of insomnia and depression sequentially. The policy makers, educators and researchers should pay attention to the impact of the interventions from healthy diet, in order to optimize the coping strategies for preventing college students from IA.