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Occurence of Internet addiction in a general population sample: A Latent Class Analysis

Rumpf, Hans-Jürgen, Vermulst, Ad A., Bischof, Anja, Kastirke, Nadin, Gürtler, Diana, Bischof, Gallus, Meerkerk, Gert-Jan, John, Ulrich +1 more·2014·European Addiction Research

Abstract

Background: Prevalence studies of Internet addiction in the general population are rare. In addition, a lack of approved criteria hampers estimation of its occurrence. Aims: This study conducted a latent class analysis (LCA) in a large general population sample to estimate prevalence. Methods: A telephone survey was conducted based on a random digit dialling procedure including landline telephone (n = 14,022) and cell phone numbers (n = 1,001) in participants aged 14-64. The Compulsive Internet Use Scale (CIUS) served as the basis for a LCA used to look for subgroups representing participants with Internet addiction or at-risk use. CIUS was given to participants reporting to use the Internet for private purposes at least 1 h on a typical weekday or at least 1 h on a day at the weekend (n = 8,130). Results: A 6-class model showed best model fit and included two groups likely to represent Internet addiction and at-risk Internet use. Both groups showed less social participation and the Internet addiction group less general trust in other people. Proportions of probable Internet addiction were 1.0% (CI 0.9-1.2) among the entire sample, 2.4% (CI 1.9-3.1) in the age group 14-24, and 4.0% (CI 2.7-5.7) in the age group 14-16. No difference in estimated proportions between males and females was found. Unemployment (OR 3.13; CI 1.74-5.65) and migration background (OR 3.04; CI 2.12-4.36) were related to Internet addiction. Conclusions: This LCA-based study differentiated groups likely to have Internet addiction and at-risk use in the general population and provides characteristics to further define this rather new disorder.

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Crossref · 10.1159/000354321

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  • Findingown data
    § Results · p. 5

    The six classes differed significantly on all examined variables.

    “In all variables, classes differed significantly”
    Quote in the paperSubstantial claim
  • Findingown data
    § Occurrence of Latent Classes · p. 6

    The proportion of probable Internet addiction was higher among mobile-only recruits (1.95%) than landline recruits (0.86%).

    “The proportion for probable Internet addiction was markedly higher in subjects recruited through mobileonly (1.95%) compared to landline numbers (0.86%; χ 2 = 55.74; d.f. = 1; design d.f. = 48; p < 0.001).”
    Quote in the paperNot a substantial claim
  • Findingown data
    § Abstract · p. 1

    Migration background was related to Internet addiction, with an odds ratio of 3.04 (CI 2.12-4.36).

    “migration background (OR 3.04; CI 2.12-4.36) were related to Internet addiction.”
    Quote in the paperNot a substantial claim
  • Findingown data
    § Results · p. 6

    Participants with probable Internet addiction spent 4.2 hours per day online for private purposes.

    “Participants with probable Internet addiction spent 4.2 h/day in the Internet for private purposes”
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  • Findingown data
    § Results · p. 4

    In the 5-class and 6-class models, the same extreme group with a high CIUS score emerged, with n = 162.

    “In the 5-class model and the 6-class model, the same extreme group with high CIUS score emerges (n = 162) speaking in favour of these models.”
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    Findingown data
    § Occurrence of Latent Classes · p. 7

    Based on participants aged 14-24, the cut-off of 28 estimated Internet addiction prevalence at 3.8% (95% CI 3.0-4.6) overall, 4.5% (95% CI 3.3-6.0) in females, and 3.0% (95% CI 2.2-4.3) in males.

    “Based on participants aged 14-24, Internet addiction occurred in 3.8% (CI 3.0-4.6) in total, 4.5% (CI 3.36.0) in females, and 3.0% (CI 2.2-4.3) in males.”
    Quote in the paperSubstantial claim
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    Findingown data
    § Occurrence of Latent Classes · p. 7

    Using the recommended CIUS cut-off of 28, estimated Internet addiction prevalence was 1.5% (95% CI 1.3-1.7) for the entire sample, 1.3% (95% CI 1.0-1.7) for females, and 1.7% (95% CI 1.3-2.1) for males.

    “the recommended cut-off (28) for the CIUS was used to estimate occurrence of Internet addiction resulting in 1.5% (CI 1.3-1.7) for the entire sample, 1.3% (CI 1.0-1.7) for females, and 1.7% (CI 1.3-2.1) for males.”
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    Findingown data
    § Method · p. 3

    In the current sample, the CIUS had a Cronbach's alpha of 0.87, indicating good internal consistency.

    “In the current sample, α was 0.87 which approves the good internal consistency of this instrument.”
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    Findingown data
    § Occurrence of Latent Classes · p. 6

    Age, migration background, and unemployment were significantly related to Internet addiction in a logistic regression.

    “Age, migration background and unemployment were significantly related with Internet addiction”
    Quote in the paperSubstantial claim
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    Findingown data
    § Occurrence of Latent Classes · p. 7

    Based on participants aged 14-16, the cut-off of 28 estimated Internet addiction prevalence at 6.3% (95% CI 4.6-8.4) overall, 8.6% (95% CI 5.5-13.0) in females, and 4.1% (95% CI 2.6-6.3) in males.

    “Based on participants aged 14-16, Internet addiction occurred in 6.3% (CI 4.6-8.4) in total, 8.6% (CI 5.5-13.0) among females, and 4.1% (CI 2.6-6.3) among males.”
    Quote in the paperSubstantial claim
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    Findingown data
    § Occurrence of Latent Classes · p. 6

    More males than females were in class 6, but this was not statistically significant in the regression model (OR 1.53; 95% CI 0.99-2.35).

    “More males than females were in class 6, however this was not statistically significant in the regression model (OR 1.53; 0.99-2.35).”
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    Findingown data
    § Results · p. 5

    Classes 5 and 6 had higher CIUS scores, more online time, and less social participation.

    “class 5 and 6 showing higher CIUS scores, more time spent in the Internet and less social participation.”
    Quote in the paperSubstantial claim
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    Findingown data
    § Results · p. 4

    An 8-class solution was not considered because a group of n = 8 emerged as part of the n = 118 group from the 7-class solution.

    “An 8-class solution was not considered because a group of n = 8 emerged as a part of the group of n = 118 from the 7-class solution.”
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    Findingown data
    § Occurrence of Latent Classes · p. 6

    In younger age groups, the proportions of both class 5 and class 6 were higher.

    “In younger age groups, proportions of both groups are higher.”
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    Findingown data
    § Method · p. 3

    Of the total sample of 15,023 participants, 8,132 reported using the Internet for private purposes for at least 1 hour on a typical weekday or at least 1 hour on a weekend day.

    “Of the total sample of 15,023 participants, 8,132 reported using the Internet for private purposes at least 1 h on a typical weekday or at least 1 h on a day at the weekend.”
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    Findingown data
    § Occurrence of Latent Classes · p. 6

    Female class-6 members used online games less often as their main Internet activity, but this difference was not statistically significant (7.2% vs. 33.6%, p = 0.057).

    “female class-6 members used online games less often, however this was only a tendency and not statistically significant (7.2 vs. 33.6%; χ 2 = 3.79; d.f. = 1; design d.f. = 48; p = 0.057).”
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    Findingown data
    § Results · p. 4

    Lower BIC values and higher entropy measures were observed as the number of classes increased.

    “Lower BIC values and higher entropy measures (both as desired) can be found with the increasing number of classes.”
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    Findingown data
    § Discussion · p. 7

    In the youngest group (14-16), proportions were highest for females, although not statistically significant.

    “in the youngest group (14-16) of our study, proportions were highest for females, although not statistically significant.”
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    Findingown data
    § Discussion · p. 7

    In younger age groups, proportions are higher, with up to 4% for Internet addiction in 14- to 16-year-olds.

    “In younger age groups, proportions are - as expected - higher with up to 4% for Internet addiction in the 14- to 16-year-old participants.”
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    Findingown data
    § Discussion · p. 7

    This withdrawal effect was observed in both groups but was strongest in class 6.

    “This could be observed in both groups but was strongest in class 6 representing Internet addiction.”
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    Findingown data
    § Discussion · p. 7

    A 6-class solution showed the best fit and included two classes that differed in variables related to problematic and addictive Internet use compared to the other groups.

    “A 6-class solution showed the best fit and included 2 classes that differed in variables that are related to problematic and addictive Internet use compared to the other groups.”
    Quote in the paperSubstantial claim
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    Findingown data
    § Discussion · p. 7

    A second group showed the second highest CIUS scores and time spent online, the second lowest social participation, and the lowest mean age.

    “A second group shows the second highest values in CIUS scores and time spent in the Internet, the second lowest scores in social participation and the lowest mean age.”
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    Findingown data
    § Discussion · p. 7

    One group showed the highest CIUS scores and time spent online, and the lowest social participation.

    “One group showed highest rates in CIUS scores and time spent in the Internet, whereas social participation was lowest.”
    Quote in the paperSubstantial claim
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    Findingown data
    § Discussion · p. 7

    Female participants showed a tendency to use online games less often as their main Internet activity.

    “female participants showed a tendency to use less often online games as their main activity on the Internet.”
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    Premisereasoning
    § Introduction · p. 2

    Most studies used convenience samples, and in those studies the chance of being included was likely confounded with the problem behaviour being measured.

    “The majority of studies have used convenience samples consisting of non-representative subgroups such as can be found in online surveys. In these studies, probability of study inclusion was obviously likely to be confounded with the problem behaviour to be measured.”
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    Premisereasoning
    § Introduction · p. 2

    Regional variation cannot explain the very large differences in prevalence estimates across studies.

    “regional differences cannot account for the immense difference in prevalence rates that have been found.”
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    Premisecitation
    § Introduction · p. 2

    The DSM-5 proposed criteria for Internet addiction are limited to Internet gaming.

    “However, in DSM-5, the proposed criteria are restricted to Internet gaming.”
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    § Introduction · p. 2

    Reported prevalence rates of Internet addiction across studies range from 1% to 14%.

    “Rates range from 1 to 14% [7]”
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    Premisecitation
    § Introduction · p. 1

    Compulsive Internet use or Internet addiction is widely asserted to exist and is listed in DSM-5 as a condition needing further study.

    “the existence of compulsive Internet use or Internet addiction is widely claimed and included as a condition for further research in the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) [1, 2]”
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    Interpretationreasoning
    § Results · p. 5

    Class 5 represents at-risk Internet use and class 6 represents Internet addiction.

    “Data can be interpreted as class 5 representing at-risk use and class 6 Internet addiction.”
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    Premisecitation
    § Method · p. 3

    The CIUS has 14 items and was developed to assess five core criteria for Internet addiction: salience, withdrawal, loss of control, conflict, and coping with unpleasant mood.

    “It consists of 14 items and was developed to assess the following 5 core criteria for Internet addiction: salience, withdrawal, loss of control, conflict and coping with unpleasant mood.”
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    Study design and conductown data
    § Introduction · p. 3

    The present study conducted a latent class analysis in a large representative general population sample.

    “the present study performed a LCA in a large representative general population sample”
    Quote in the paperSubstantial claim
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    Premisecitation
    § Method · p. 3

    The CIUS has shown good validity and Cronbach's alpha reliability between 0.88 and 0.90.

    “The questionnaire showed good validity and a Cronbach's α as measure of reliability ranging from 0.88 to 0.90 [18, 19]”
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    Premisecitation
    § Introduction · p. 2

    A previous latent class analysis in two large Dutch school-based samples found that a 6-class model had the best fit.

    “In two large school-based samples, respondents filled out the Compulsive Internet Use Scale (CIUS) [19] , a 14-item questionnaire covering core criteria of problematic Internet use. A LCA revealed a 6-class model to have the best fit.”
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    Premiseown data
    § Introduction · p. 2

    The previous latent class analysis results are limited to adolescents and to online gaming.

    “However, results are restricted to adolescents and to online gaming.”
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    Premisecitation
    § Method · p. 3

    The CIUS was selected because psychometric data for it are available from representative samples.

    “This instrument was chosen because data on its psychometric performance in representative samples are available [19]”
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    Premisenone given
    § Introduction · p. 2

    Both general population studies of Internet addiction used diagnostic measures that have not been sufficiently validated.

    “Both general population studies suffer from diagnostic measures that have not been sufficiently validated.”
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    Premisereasoning
    § Introduction · p. 2

    Data used to define Internet addiction come from clinical settings and may not cover the full range of characteristics present in the general population.

    “Data to define Internet addiction are derived from clinical settings but may not cover the whole spectrum of characteristics found in the general population.”
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    Study design and conductreasoning
    § Method · p. 3

    The landline sample was drawn as a clustered and stratified sample with probability proportional to size and implicit stratification to support representativeness.

    “For the landline telephone survey a clustered and stratified sample was drawn. At the first sampling stage, 53 sample points (52 municipalities, Berlin was represented by two sample points) were selected based on a 'probability proportional to size' procedure. Implicit stratification ensures a representative selection of German federal states, administrative districts and counties.”
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    Study design and conductown data
    § Method · p. 3

    The mobile-only sample participation rate was 56.6%, yielding 1,001 respondents.

    “56.6% (1,001 respondents) participated in the interview.”
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    Study design and conductown data
    § Method · p. 3

    Among participants assessed with the CIUS, 3.2% did not answer all items, and missing values were replaced by mean values when at least 8 items had been answered.

    “Of those, 3.2% did not answer to all CIUS items. In the majority of these cases the participants had only one (2.5%) or two (0.4%) missing values. Further, 0.3% did not answer between 3 and 10 CIUS items. A minimum number of 8 items answered was defined and missing values were replaced by mean values.”
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    Premisecitation
    § Introduction · p. 2

    In that previous latent class analysis, two classes had characteristics making it very likely that participants were heavy users or had problems with online gaming.

    “According to the data, 2 of these classes showed characteristics that made it very likely that participants were experiencing heavy use or problems with online gaming”
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    § Method · p. 3

    The CIUS items were translated into German using translation and back-translation.

    “The CIUS items were transformed into German by procedures of translation and back-translation.”
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    Premisecitation
    § Introduction · p. 2

    The 20-item Internet Addiction Test is the most widely used questionnaire for Internet addiction.

    “The most widely used questionnaire is the 20-item Internet Addiction Test (IAT) [14]”
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    Study design and conductown data
    § Method · p. 3

    The mobile-only sample used random selection of nationwide cell phone numbers and screened in only those not reachable by landline.

    “In the mobile-only sample, a random selection of nationwide cell phone numbers was used and a screening to include only those who could not be reached via landline telephone was performed.”
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    Premisecitation
    § Introduction · p. 2

    Tao and colleagues define a minimum of 6 hours per day of Internet use as required for a diagnosis of Internet addiction.

    “Tao et al. [7] define a minimum amount of 6 h/day spent in the Internet to fulfil the diagnosis of Internet addiction.”
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    Study design and conductown data
    § Method · p. 3

    The landline sample participation rate was 52.4%, yielding 14,022 respondents.

    “52.4% (14,022 respondents) participated in the interview.”
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    Study design and conductreasoning
    § Method · p. 3

    The telephone survey used a German landline sample plus an additional mobile-only sample to cover people reachable only by cellular phone.

    “The survey was based on a German landline telephone sample and an additional mobile-only sample to cover the growing percentage of individuals that are only accessible via cellular phone numbers.”
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    Premisenone given
    § Introduction · p. 2

    The Internet Addiction Test was developed in clinical settings, and its psychometric properties in general population samples are unclear.

    “This scale has been developed in clinical settings and psychometric properties for general population samples are unclear.”
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    Premisecitation
    § Social Participation and Trust · p. 4

    The social participation instrument had good test-retest reliability with a kappa of 0.70 based on dichotomous results.

    “Good test-retest reliability was found with a κ of 0.70 based on dichotomous results [22]”
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    Interpretationown data
    § Abstract · p. 1

    The study provides characteristics that can help further define Internet addiction as a relatively new disorder.

    “provides characteristics to further define this rather new disorder.”
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    Study design and conductcitation
    § Social Participation and Trust · p. 4

    Social participation was assessed with a standardized instrument asking about participation in 13 activity domains during the previous 12 months.

    “It was assessed with a standardized instrument by asking if respondents had taken part in activities in 13 domains during the last 12 months [22]”
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    Interpretationreasoning
    § Discussion · p. 7

    The authors state their study is the largest representative general-population study so far to estimate how common Internet addiction is and to describe associated features.

    “This is the largest representative general population study that aimed to quantify the occurrence of Internet addiction and describe related characteristics so far.”
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    Study design and conductcitation
    § Social Participation and Trust · p. 4

    Generalized trust was assessed with the item 'Generally, you can trust other people' using four answer options.

    “Generalized trust to other people was assessed with the following item: 'Generally, you can trust other people' with the answer formats 'Do not agree at all' , 'Do not agree' , ' Agree' , and 'Completely agree' [21]”
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    § Method · p. 3

    The CIUS has shown a stable one-factor solution across time and different samples.

    “A stable one-factor solution was found across time and different samples [19]”
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    Premisecitation
    § Introduction · p. 2

    In that previous study, the dependent-user group made up 3% of the sample and about 1.5% of all children aged 13-16 in the Netherlands.

    “This latter group constituted 3% of the sample and about 1.5% of all children aged 13-16 years in the Netherlands.”
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    § Method · p. 3

    A CIUS cut-off score of 28 was suggested by the instrument's developers.

    “a cut-off score of 28 was suggested from the developers of this instrument [19]”
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    § Discussion · p. 7

    The CIUS is a questionnaire that covers well-accepted signs of problematic Internet use.

    “These classes were based on the CIUS, a questionnaire which covers well-accepted signs of problematic Internet use.”
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    § Discussion · p. 7

    A clear advantage of this study is its large and representative sample size.

    “A clear advantage of this study is the large and representative sample size.”
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    Interpretationown data
    § Discussion · p. 7

    The inclusion of mobile-only participants is of special importance.

    “Therefore, the inclusion of mobile-only participants is of special importance.”
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    § Discussion · p. 7

    It is not very likely that the inclusion filter resulted in biased findings, but it cannot be fully ruled out.

    “It is not very likely that this filter resulted in biased findings, however it cannot be fully ruled out.”
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    Premisecitation
    § Discussion · p. 7

    Proposed criteria for Internet addiction by Tao et al. include a course criterion requiring at least 3 months of duration and 6 hours of Internet non-business usage per day.

    “Proposed criteria for Internet addiction by Tao et al. [7] include a course criterion requiring at least 3 months of duration and 6 h of Internet non-business usage per day.”
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    § Discussion · p. 7

    The CIUS might not cover all relevant aspects to specify Internet addiction.

    “Another possible shortcoming might be that the CIUS which served as the basis for the LCA might not cover all relevant aspects to specify Internet addiction.”
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    Premisecitation
    § Discussion · p. 7

    The CIUS includes salience, withdrawal, loss of control, conflict, and coping with unpleasant mood, which resemble current suggestions for classifying Internet use disorders.

    “salience, withdrawal, loss of control, conflict and coping with unpleasant mood are included and resemble current suggestions for classifying Internet use disorders.”
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    Interpretationnone given
    § Discussion · p. 7

    The LCA approach is currently a viable method given that no consensus on criteria to define Internet addiction or problematic Internet use is available.

    “the LCA approach is currently a viable method considering that no consensus on criteria to define Internet addiction or problematic Internet use is available.”
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    Premisecitation
    § Discussion · p. 8

    Use and misuse of mobile phones is prevalent in adolescents.

    “use and misuse of mobile phones is prevalent in adolescents [28]”
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    Study design and conductown data
    § Discussion · p. 7

    Using the suggested cut-off of 28 results in a rate of 1.5% positive cases and strengthens the solution.

    “using the suggested cut-off of 28 for CIUS might serve as another indicator. This results in a rate of 1.5% positive cases and strengthens our solution.”
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  • The paper relies on this without support.

    Participants who did not report private Internet use for at least 1 hour on a typical weekday or at least 1 hour on a weekend day were treated as not having Internet addiction or problematic Internet use.

    “When calculating the occurrence of Internet use disorders, all participants who did not report Internet use for private purposes at least 1 h on a typical weekday or at least 1 h on a day at the weekend were considered as not having Internet addiction or problematic Internet use.”
  • The authors state this as an assumption.

    A mobile phone number generally represents one person rather than a household.

    “Because we assumed that, in general, a mobile phone number represented one person rather than a household”
  • The paper relies on this without support.

    Participants who used the Internet for private purposes less than 1 hour on a typical weekday or weekend day do not have problematic Internet use or Internet addiction.

    “All participants with less time spent in the Internet were considered as not having problematic use or Internet addiction.”
3 of 3

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • In the age group of 14-16 years, girls show a higher prevalence of addictions to the Internet and SNSs in a representative German sample.

    “First, in the age group of 14–16 years, girls appear to show a higher prevalence of addictions to the Internet and SNSs, as found in a representative German sample [88]”

    From Social networking sites and addiction: Ten lessons learned (2017) · cites this paper as [88]

  • There are sociodemographic differences among those addicted to social networking.

    “Research suggests there are sociodemographic differences among those addicted to social networking.”

    From Social networking sites and addiction: Ten lessons learned (2017) · cites this paper as [88]

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

  • The whole-sample age range changes in the gender comparisons

    Minor

    The gender-comparison text calls its first group the entire sample but labels it ages 18-64. Table 3 identifies the entire sample of 15,023 as ages 14-64.

  • The one-class BIC does not follow the stated trend

    Minor

    The paper says BIC decreases as the number of classes increases, but the printed one-class BIC is 23.560 and the two-class BIC is 220.945. The latter is higher, not lower.

  • Mobile-only eligibility uses a different upper age limit

    Minor

    The mobile-only screening description gives an eligible age range ending at 46, while the study describes its target population, including mobile-only respondents, as aged 14-64.

3 of 3

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Rumpf, H.-J., Vermulst, A. A., Bischof, A., Kastirke, N., Gürtler, D., Bischof, G., Meerkerk, G.-J., John, U., & Meyer, C.
Affiliations
Radboud University Nijmegen (NL)
Venue
European Addiction Research
Publisher
S. Karger AG
Published
2013-12-24
Volume
20
Issue
4
Pages
159-166
ISSN
  • 1022-6877 (ISSN-L)
  • 1421-9891
OpenAlex
W1972051428
Cited by
199
References
27
Citations by year
2026: 6 · 2025: 7 · 2024: 13 · 2023: 20 · 2022: 17 · 2021: 26 · 2020: 22 · 2019: 18 · 2018: 20 · 2017: 17 · 2016: 12 · 2015: 10 · 2014: 10 · 2013: 1
FWCI
33.95
Type
journal article
Language
en
Open access
closed
Locations
  • European Addiction Research (publishedVersion)
  • PubMed (publishedVersion)
  • EUR Research Repository (Erasmus University Rotterdam) (submittedVersion)
  • Radboud Repository (Radboud University) (submittedVersion)
Topics
  • Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
  • Social Sciences › Psychology › Clinical Psychology › Sexuality, Behavior, and Technology
  • Social Sciences › Psychology › Clinical Psychology › Gambling Behavior and Treatments
Keywords
internet addiction, prevalence, Compulsive Internet Use Scale, latent class analysis, social participation (health and rehabilitation), interpersonal trust, unemployment, migration background, adolescents, general population
MeSH terms
Adolescent, Adult, Emigration and Immigration, Female, Humans, Male, Middle Aged, Risk Factors, Unemployment, Models, Statistical, Prevalence, Behavior, Addictive, Internet, Young Adult

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-06.

Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-06.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

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