Raw JSON
{'hasResults': False, 'derivedSection': {'miscInfoModule': {'versionHolder': '2025-12-24'}, 'conditionBrowseModule': {'meshes': [{'id': 'D000077224', 'term': 'Cyberbullying'}, {'id': 'D000092862', 'term': 'Psychological Well-Being'}, {'id': 'D000082424', 'term': 'Internet Addiction Disorder'}, {'id': 'D003863', 'term': 'Depression'}, {'id': 'D001008', 'term': 'Anxiety Disorders'}, {'id': 'D000080103', 'term': 'Emotional Regulation'}], 'ancestors': [{'id': 'D058445', 'term': 'Bullying'}, {'id': 'D000374', 'term': 'Aggression'}, {'id': 'D001526', 'term': 'Behavioral Symptoms'}, {'id': 'D001519', 'term': 'Behavior'}, {'id': 'D000071277', 'term': 'Harassment, Non-Sexual'}, {'id': 'D012919', 'term': 'Social Behavior'}, {'id': 'D010549', 'term': 'Personal Satisfaction'}, {'id': 'D000088942', 'term': 'Technology Addiction'}, {'id': 'D016739', 'term': 'Behavior, Addictive'}, {'id': 'D003192', 'term': 'Compulsive Behavior'}, {'id': 'D007175', 'term': 'Impulsive Behavior'}, {'id': 'D001523', 'term': 'Mental Disorders'}, {'id': 'D000068356', 'term': 'Self-Control'}]}}, 'protocolSection': {'designModule': {'studyType': 'OBSERVATIONAL', 'designInfo': {'timePerspective': 'CROSS_SECTIONAL', 'observationalModel': 'CASE_CONTROL'}, 'enrollmentInfo': {'type': 'ESTIMATED', 'count': 50}, 'patientRegistry': False}, 'statusModule': {'overallStatus': 'ENROLLING_BY_INVITATION', 'startDateStruct': {'date': '2022-02-08', 'type': 'ACTUAL'}, 'expandedAccessInfo': {'hasExpandedAccess': False}, 'statusVerifiedDate': '2024-02', 'completionDateStruct': {'date': '2025-01-27', 'type': 'ESTIMATED'}, 'lastUpdateSubmitDate': '2024-02-21', 'studyFirstSubmitDate': '2024-02-15', 'studyFirstSubmitQcDate': '2024-02-21', 'lastUpdatePostDateStruct': {'date': '2024-02-29', 'type': 'ACTUAL'}, 'studyFirstPostDateStruct': {'date': '2024-02-29', 'type': 'ACTUAL'}, 'primaryCompletionDateStruct': {'date': '2024-02-15', 'type': 'ACTUAL'}}, 'outcomesModule': {'primaryOutcomes': [{'measure': 'Cyberbullying Questionnaire', 'timeFrame': 'Up to 8 weeks', 'description': 'Suppose the subject was the victimization/perpetrators of cyber-bullying or in the past 2 months, and the cyber-bullying-related experience and feeling in school. The main results were qualitative descriptions and would not apply to statistical analysis.'}], 'secondaryOutcomes': [{'measure': "Beck's Depression Inventory (BDI-II)", 'timeFrame': 'Up to 2 weeks', 'description': 'The BDI-II is a 21-item self-report measure that taps major depression symptoms according to diagnostic criteria listed in the Diagnostic and Statistical Manual for Mental Disorders. Items are summed to create a total score, with higher scores indicating higher levels of depression.'}]}, 'oversightModule': {'oversightHasDmc': False, 'isFdaRegulatedDrug': False, 'isFdaRegulatedDevice': False}, 'conditionsModule': {'keywords': ['youth', 'cyberbullying', 'mental health', 'social media addiction', 'internet gaming disorder', 'suicide/self-injury', 'depression', 'anxiety', 'emotional regulation'], 'conditions': ['Mental Health Issue']}, 'descriptionModule': {'briefSummary': 'Introduction: WHO defines youth as 15-24 years age group. At this stage, the brain is still under development, with high impulsiveness, being fond of stimulation and yearning for peer life. Compared with traditional interpersonal interaction, modern youths use the Internet as a main interpersonal interaction platform and conduct lots of leisure activities on the Internet. Poor cognitive emotion regulation strategies and personal traits may extend to new types of mental health issues; and are associated with depression, anxiety, suicidal/self-injurious behaviors, and cyberbullying.\n\nObjectives: (1) To investigate whether emotion regulation strategies while facing stressful events are highly related to with cyberbullying, social media, and internet gaming disorder. (2) To investigate the relation between cyberbullying and depression, anxiety, suicide/self-injury among Taiwanese youths. (3) To investigate the probability of cyberbullying, social media addiction, and internet gaming disorder occurring at the same time.\n\nMethod: This cross-sectional study recruits cases of youths from 15 to 24 years old and collects data through questionnaires survey. In addition to collection of basic data, Internet using habits, and medical history, self-rated questionnaires include Suicide/Self-Injury Ideation Questionnaire, The Beck Depression Inventory 2nd Edition, Multidimensional Anxiety Scale for Children-Taiwan version, Cognitive Emotion Regulation Questionnaire, Cyberbullying Questionnaire, and Internet Gaming Disorder Scale-Short Form.'}, 'eligibilityModule': {'sex': 'ALL', 'stdAges': ['CHILD', 'ADULT'], 'maximumAge': '24 Years', 'minimumAge': '15 Years', 'samplingMethod': 'NON_PROBABILITY_SAMPLE', 'studyPopulation': 'Aged from 15 to 24 years old. Healthy youths and adults recruited publicly. Patients with major depressive disorder, anxiety disorder, post traumatic stress disorder, or Adjustment disorder according to DSM-V recruited from outpatient clinic, emergency ward and day care ward of psychiatry department in National Taiwan University Hospital.', 'healthyVolunteers': True, 'eligibilityCriteria': 'Inclusion Criteria:\n\nControl group\n\n* Able to understand the content of all questionnaires\n* Healthy youths aged 15-20 years old and adults aged 20-24 years old\n\nExperimental group\n\n* Able to understand the content of all questionnaires\n* Youths aged 15-20 years old and adults aged 20-24 years old\n* Diagnosed with major depressive disorder, anxiety disorder, post traumatic stress disorder, or Adjustment disorder according to DSM-V\n\nExclusion Criteria:\n\n* Illiterate or unable to understand the content of the questionnaires\n* Diagnosed with organic brain injury, schizophrenia, or bipolar disorder according to DSM-V'}, 'identificationModule': {'nctId': 'NCT06284551', 'briefTitle': 'The Relationship Between Internet-use Behavior and Mental Health in Youth', 'organization': {'class': 'OTHER', 'fullName': 'National Taiwan University Hospital'}, 'officialTitle': 'The Relationship Between Internet-use Behavior and Mental Health in Youth', 'orgStudyIdInfo': {'id': '202111069RINB'}}, 'armsInterventionsModule': {'armGroups': [{'label': 'Control Group', 'description': 'Healthy youths and adults aged 15-24 years old.'}, {'label': 'Experimental Group', 'description': 'Youths and adults aged 15-24 years old with diagnosis of major depressive disorder, anxiety disorder, post traumatic stress disorder, or Adjustment disorder according to DSM-V.'}]}, 'contactsLocationsModule': {'locations': [{'city': 'Taipei', 'country': 'Taiwan', 'facility': 'National Taiwan University Hospital', 'geoPoint': {'lat': 25.05306, 'lon': 121.52639}}], 'overallOfficials': [{'name': 'Wei-ting Ko, MS', 'role': 'PRINCIPAL_INVESTIGATOR', 'affiliation': 'National Taiwan University Hospital'}]}, 'ipdSharingStatementModule': {'ipdSharing': 'NO'}, 'sponsorCollaboratorsModule': {'leadSponsor': {'name': 'National Taiwan University Hospital', 'class': 'OTHER'}, 'responsibleParty': {'type': 'SPONSOR'}}}}