Dataset Information

Predictors of Spontaneous Remission of Problematic Internet Use in Adolescence: A One-Year Follow-Up Study.

ABSTRACT: Problematic use of the Internet is becoming increasingly important and especially for adolescents, high prevalence rates are reported in many countries. Despite the growing international research activities and the reported prevalence estimates, comparatively very few studies have focused on spontaneous remission and its possible causes. In a risk population of 272 adolescents, we used standardized diagnostic instruments to investigate which socio-demographic and psychosocial characteristics at baseline (at t1) predicted spontaneous remission of problematic Internet use one year later (at t2). The predictors were determined by bivariate and multivariate logistic regression analyses. In the bivariate regressions, we found male gender, higher self-efficacy (t1), a lower level of maladaptive emotion regulation strategies (t1), lower depression (t1), lower performance and school anxiety (t1), lower social-interaction anxiety (t1), and lower procrastination (t1) to predict spontaneous remission of problematic Internet use at t2. In the multivariable analysis, a lower level of maladaptive emotion regulation strategies (t1) was the sole statistically significant predictor for the remission one year later (t2). For the first time, the high relevance of emotion regulation for spontaneous remission of adolescent problematic Internet use was observed. Based on these findings, emotion regulation could be specifically trained and promoted in future prevention measures.

SUBMITTER: Wartberg L

PROVIDER: S-EPMC7014287 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature

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Predictors of Spontaneous Remission of Problematic Internet Use in Adolescence: A One-Year Follow-Up Study.

Wartberg Lutz L Lindenberg Katajun K

International journal of environmental research and public health 20200109 2

Problematic use of the Internet is becoming increasingly important and especially for adolescents, high prevalence rates are reported in many countries. Despite the growing international research activities and the reported prevalence estimates, comparatively very few studies have focused on spontaneous remission and its possible causes. In a risk population of 272 adolescents, we used standardized diagnostic instruments to investigate which socio-demographic and psychosocial characteristics at ...[more]

PMID: 31936677

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Project description:BackgroundMigrant populations usually report higher smoking rates. Among those migrant populations, Turkish- and Kurdish-speaking migrants are often overrepresented. Providing equal access to health services is one of the major challenges of our time. The need for adapted smoking-cessation treatments for Turkish-speaking populations to achieve equity in health led, in 2006, to the development and implementation of the Tiryaki-Kukla smoking-cessation program. The aims of the current study were to evaluate one-year quit rates for smoking-cessation courses held from 2006-2018 and investigate whether certain characteristics predict long-term smoking cessation or reduction.MethodsProgram evaluation included a pre/post questionnaire (session 1/ 3 months after the quit day) and a follow-up telephone call twelve months after the quit day. To elucidate factors associated with long-term smoking cessation and reduction, Cox regression analysis and Weighted Generalized Equation Models were used.ResultsOf the 478 who participated in smoking-cessation courses, 45.4% declared themselves non-smokers at one-year follow-up. This quit rate is higher than that achieved during the preliminary evaluation of the program involving 61 participants (37.7%). Predictors of long-term smoking cessation were course length (eight vs. six sessions) (95% CI = 1.04-1.36, p = .01), adherence to the course (95% CI = 0.98-0.99, p<0.01), use of pharmacotherapy or nicotine replacement therapy products (95% CI = 0.74-0.98, p = .02), and time passed in the morning until the first cigarette is smoked (95% CI5min = 1.17-1.77, p<0.001; 95% CI30min = 1.09-1.65, p<0.01). Predictors of change in cigarettes smoked per day among smokers were-the time passed until the first cigarette in the morning (5min p < .001; 30min p < .001; 60min p < .01)-, gender (p < .001), and level of motivation to quit at baseline (p = .04).ConclusionsOur findings are consistent with existing evidence supporting adapted smoking cessation interventions to reduce health inequity in migrant populations. However, achieving harm reduction in smokers with higher dependence scores remains challenging.

Dataset Information

Predictors of Spontaneous Remission of Problematic Internet Use in Adolescence: A One-Year Follow-Up Study.

Publications

Predictors of Spontaneous Remission of Problematic Internet Use in Adolescence: A One-Year Follow-Up Study.

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