Catalogue Search | MBRL
Search Results Heading
Explore the vast range of titles available.
MBRLSearchResults
-
DisciplineDiscipline
-
Is Peer ReviewedIs Peer Reviewed
-
Series TitleSeries Title
-
Reading LevelReading Level
-
YearFrom:-To:
-
More FiltersMore FiltersContent TypeItem TypeIs Full-Text AvailableSubjectPublisherSourceDonorLanguagePlace of PublicationContributorsLocation
Done
Filters
Reset
40,865
result(s) for
"Behavior, Addictive"
Sort by:
Depression, anxiety, and smartphone addiction in university students- A cross sectional study
2017
The study aims to assess prevalence of smartphone addiction symptoms, and to ascertain whether depression or anxiety, independently, contributes to smartphone addiction level among a sample of Lebanese university students, while adjusting simultaneously for important sociodemographic, academic, lifestyle, personality trait, and smartphone-related variables.
A random sample of 688 undergraduate university students (mean age = 20.64 ±1.88 years; 53% men) completed a survey composed of a) questions about socio-demographics, academics, lifestyle behaviors, personality type, and smartphone use-related variables; b) 26-item Smartphone Addiction Inventory (SPAI) Scale; and c) brief screeners of depression and anxiety (PHQ-2 and GAD-2), which constitute the two core DSM-IV items for major depressive disorder and generalized anxiety disorder, respectively.
Prevalence rates of smartphone-related compulsive behavior, functional impairment, tolerance and withdrawal symptoms were substantial. 35.9% felt tired during daytime due to late-night smartphone use, 38.1% acknowledged decreased sleep quality, and 35.8% slept less than four hours due to smartphone use more than once. Whereas gender, residence, work hours per week, faculty, academic performance (GPA), lifestyle habits (smoking and alcohol drinking), and religious practice did not associate with smartphone addiction score; personality type A, class (year 2 vs. year 3), younger age at first smartphone use, excessive use during a weekday, using it for entertainment and not using it to call family members, and having depression or anxiety, showed statistically significant associations with smartphone addiction. Depression and anxiety scores emerged as independent positive predictors of smartphone addiction, after adjustment for confounders.
Several independent positive predictors of smartphone addiction emerged including depression and anxiety. It could be that young adults with personality type A experiencing high stress level and low mood may lack positive stress coping mechanisms and mood management techniques and are thus highly susceptible to smartphone addiction.
Journal Article
Internet addiction : a handbook and guide to evaluation and treatment
\"Internet addiction is an emergent disorder in the psychiatric and psychological fields. This book provides a theoretical framework to understand how to define and conceptualize compulsive use of the Internet from a clinical perspective. With various theoretical models from the psychiatric, psychological, communication, and sociological fields, it explores the prevalence of the disorder and the most addictive or problematic online applications, such as online pornography, Internet gambling, and online games. Evidenced-based treatment approaches are provided as well. A must-have for every clinician\"--Provided by publisher.
The Smartphone Addiction Scale: Development and Validation of a Short Version for Adolescents
2013
This study was designed to investigate the revised and short version of the smartphone addiction scale and the proof of its validity in adolescents. In addition, it suggested cutting off the values by gender in order to determine smartphone addiction and elaborate the characteristics of smartphone usage in adolescents.
A set of questionnaires were provided to a total of 540 selected participants from April to May of 2013. The participants consisted of 343 boys and 197 girls, and their average age was 14.5 years old. The content validity was performed on a selection of shortened items, while an internal-consistency test was conducted for the verification of its reliability. The concurrent validity was confirmed using SAS, SAPS and KS-scale. Receiver operating characteristics analysis was conducted to suggest cut-off.
The 10 final questions were selected using content validity. The internal consistency and concurrent validity of SAS were verified with a Cronbach's alpha of 0.911. The SAS-SV was significantly correlated with the SAS, SAPS and KS-scale. The SAS-SV scores of gender (p<.001) and self-evaluation of smartphone addiction (p<.001) showed significant difference. The ROC analysis results showed an area under a curve (AUC) value of 0.963(0.888-1.000), a cut-off value of 31, sensitivity value of 0.867 and specificity value of 0.893 in boys while an AUC value of 0.947(0.887-1.000), a cut-off value of 33, sensitivity value of 0.875, and a specificity value of 0.886 in girls.
The SAS-SV showed good reliability and validity for the assessment of smartphone addiction. The smartphone addiction scale short version, which was developed and validated in this study, could be used efficiently for the evaluation of smartphone addiction in community and research areas.
Journal Article
Prevalence and psychosocial correlates of food addiction in persons with obesity seeking weight reduction
by
Chao, Ariana M.
,
Shaw, Jena A.
,
Wadden, Thomas A.
in
Adult
,
Behavior, Addictive - complications
,
Behavior, Addictive - epidemiology
2017
Food addiction is a controversial concept. The potential influence of food addiction on patients' psychosocial functioning and well-being has not been well established. The purpose of this study was to examine the relationships between psychosocial functioning (depressive symptoms and health-related quality of life [HRQOL]) and food addiction as measured by the Yale Food Addiction Scale (YFAS). We also explored whether food addiction contributed additional variance in explaining psychosocial functioning, beyond demographic and clinical factors (e.g., binge eating).
The sample included 178 participants (mean age=44.2±11.2years; BMI=40.9±5.9kg/m2; 88.2% female; 70.8% Black) with obesity seeking treatment for weight loss. Participants completed the Medical Outcomes Study 36-Item Short-Form Health Survey, Impact of Weight on Quality of Life-Lite, Patient Health Questionnaire, YFAS, and Questionnaire on Eating and Weight Patterns-5.
Twelve (6.7%) participants met criteria for food addiction, with 4 (33.3%) of these participants having co-occurring binge eating disorder. After adjusting for covariates, the number of food addiction symptoms accounted for 6.5% to 16.3% of additional variance in general HRQOL, 5.0% to 21.5% in weight-related HRQOL, and 19.1% in symptoms of depression.
In this treatment-seeking sample of participants, we found a low prevalence of food addiction, suggesting that addictive-like eating is unlikely to be a causal mechanism for most people with obesity. However, individuals who met criteria for food addiction had reduced psychosocial functioning compared to those who did not meet criteria. Individuals with addictive-like eating may require additional psychosocial support.
Journal Article
Internet Addiction and Relationships with Insomnia, Anxiety, Depression, Stress and Self-Esteem in University Students: A Cross-Sectional Designed Study
2016
Internet addiction (IA) could be a major concern in university medical students aiming to develop into health professionals. The implications of this addiction as well as its association with sleep, mood disorders and self-esteem can hinder their studies, impact their long-term career goals and have wide and detrimental consequences for society as a whole. The objectives of this study were to: 1) Assess potential IA in university medical students, as well as factors associated with it; 2) Assess the relationships between potential IA, insomnia, depression, anxiety, stress and self-esteem.
Our study was a cross-sectional questionnaire-based survey conducted among 600 students of three faculties: medicine, dentistry and pharmacy at Saint-Joseph University. Four validated and reliable questionnaires were used: the Young Internet Addiction Test, the Insomnia Severity Index, the Depression Anxiety Stress Scales (DASS 21), and the Rosenberg Self Esteem Scale (RSES).
The average YIAT score was 30 ± 18.474; Potential IA prevalence rate was 16.8% (95% confidence interval: 13.81-19.79%) and it was significantly different between males and females (p-value = 0.003), with a higher prevalence in males (23.6% versus 13.9%). Significant correlations were found between potential IA and insomnia, stress, anxiety, depression and self-esteem (p-value < 0.001); ISI and DASS sub-scores were higher and self-esteem lower in students with potential IA.
Identifying students with potential IA is important because this addiction often coexists with other psychological problems. Therefore, interventions should include not only IA management but also associated psychosocial stressors such as insomnia, anxiety, depression, stress, and self-esteem.
Journal Article
Effectiveness and satisfaction of mindfulness-based cognitive therapy for children on anxiety, depression, and internet addiction in adolescents: Study protocol for a randomized control trial
by
Alhosseini, Khadijeh Abolmaali
,
Dehghani, Fahimeh
,
Habibi Asgarabad, Mojtaba
in
Active control
,
Addictions
,
Addictive behaviors
2025
Adolescents with Internet addiction (IA) frequently encounter elevated levels of anxiety and depression, which subsequently results in the perpetuation of their addiction behaviors. Mindfulness-based cognitive therapy for children (MBCT-C) is an adapted version of traditional MBCT that targets emotional problems in children. The present study aimed to provide a framework for the implementation of a clinical trial for its effectiveness in reducing anxiety, depression, and IA in adolescents with IA. This study protocol proposes a randomized controlled trial with two parallel arms (MBCT-C versus active control). Eighty Iranian adolescents (Persian ethnicity; males and females; 12 to 15 years) diagnosed with IA will be randomly assigned to the intervention group (12 sessions of MBCT-C group therapy) or the control group (12 life skills training sessions). Pre-intervention, post-intervention, and three-month follow-up assessments will be conducted using Mindful Attention Awareness Scale-Adolescents (MAAS-A), Mindfulness Program Satisfaction Questioner (MPSQ), Reynolds Adolescent Depression Scale (RADS), State-Trait Anxiety Inventory-Children (STAI-C), MBCT-C Adherence Scale (MBCT-C-AS), and Internet Addiction Test (IAT). Data will be analyzed using mixed regression model using STATA-18 to assess the effectiveness of MBCT-C. The current study has the potential to make a significant contribution to evaluate the effectiveness of MBCT-C to address IA, anxiety, and depression in adolescents with IA.
Journal Article