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CABLE C hild and A dolescent B ehaviors in L ong-term E volution: A School-Based Health Lifestyle Study. PI : Lee-Lan Yen ( 李 蘭 ) Szu-Hsien T. Lee ( 李思賢 ) Chuhsing K. Hsiao ( 蕭朱杏 ) Ling-Yen Pan ( 潘怜燕 ) Wen-Chi Wu ( 吳文琪 ) - PowerPoint PPT Presentation
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CABLEChild and Adolescent
Behaviors in Long-term Evolution: A School-Based Health Lifestyle Study
CABLEChild and Adolescent
Behaviors in Long-term Evolution: A School-Based Health Lifestyle Study
PIPI :: Lee-Lan Yen Lee-Lan Yen (( 李 蘭李 蘭 ))Szu-Hsien T. Lee (Szu-Hsien T. Lee ( 李思賢李思賢 ) Chuhsing K. Hsiao () Chuhsing K. Hsiao ( 蕭朱杏蕭朱杏 ) ) Ling-Yen Pan ( Ling-Yen Pan ( 潘怜燕潘怜燕 ) Wen-Chi Wu ) Wen-Chi Wu (( 吳文琪吳文琪 ))
CABLE Research TeamCABLE Research Team
Outline
Background
Study Design
Work Completed in 2004
Work Will Be Conducted in 2005
Background
Childhood is an important developmental stage. Early and successful interventions can improve children’s health behaviors and health status.A lifestyle based study following the development of children and their health related behaviors has never previously been conducted in Taiwan.
Specific AimsTo understand the status and types of health lifestyle among children.
To investigate the developments and changes of children’s health lifestyle over time.
To explore the determinants of children’s health lifestyle.
To analyze the correlation between children’s health lifestyle and health status.
Study Design (1)
Cross-sectionalLongitudinal IndividualFamily/GroupCommunity/SocietyChangeability
Study Design (2)
2001 2010
Observational Follow-up
-- Yearly Survey
2005
Study Design (3)
Year Grade 1 Grade 2 Grade 3 Grade 4 Grade 5 Grade 6 Grade 7 Grade 8 Grade 9
2001 A1 B1 C1 D1
2002 A2 B2 C2 D2
2003 A3 B3 C3 D3
2004 A4 B4 C4 D4
2005 A5 B5 C5 D5
2006 A6 B6 C6 D6
A1-A6: The 1st cohort of Taipei from 2001-2006
B1-B6: The 1st cohort of Hsinchu from 2001-2006
C1-C6: The 2nd cohort of Taipei from 2001-2006
D1-D6: The 2nd cohort of Hsinchu from 2001-2006
Study Framework~ Cross-Sectional Survey ~
Intrapersonal Factors
Interpersonal Factors
Organizational Factors
Health Lifestyle
Health Status
Independent Variables
1.Children & Parental Factors (demographics, health history,
personal characteristics, etc.)
2.Family Factors (family structure, SES, etc.)
3.School & Community Factors (size, resources, etc.)
4.Other Factors (survey time, study area, etc.)
Dependent Variables
Health Lifestyle
Health Status
Intermediate Variables
Interpersonal Factors
Intrapersonal Factors
Organizational Factors
Time 1 Time i
Time 1 Time i
Time 1 Time i
Time 1 Time i
Time 1 Time i
Study Framework~ Longitudinal Follow-up ~
2218 2085 1939
645637
0
500
1000
1500
2000
2500
3000
2001 2002 2003 year
person2001 participants 2002 new participants
Study Subjects of Cohort 1
1st grade 2nd grade 3rd grade
2730 2576
94.0%-6.0%
93.0%-7.0%
Study Subjects of Cohort 2
2075 1876 1812
634 637
0
500
1000
1500
2000
2500
3000
2001 2002 2003 year
person2001 participants 2002 new participants
4th grade 5th grade 6th grade
2510 2449
90.4%-9.6%
96.6%
-3.4%
Study Instruments
Questionnaires student parent teacher
Documents student health record school profile community profile
Data Collection
Intrapersonal
Factors
Interpersonal Factors
OrganizationalFactors
Health Lifestyle
Health Status
CABLE Questionnaires
School & Community Profiles
School Health Records
Field Survey, 2001-2003
Student name list
Informed consent
Subject name
list
Interviewer training
Field Survey
-- Children-- Parents
2001 & 2002
Subject name list
2003
Checkname list
Interviewer training
Field Survey
-- Children-- Parents
Field Survey, 2004 & 2005
Subject name list
Rearrange name
list
Interviewer training
Field Survey
-- Children-- Parents
Cohort 2(Grade 7 &
8)Subject name list
Check name list
Interviewer training
Cohort 1(Grade 4 &
5)
Field Survey
-- Children-- Parents
Mail Survey-- Children-- Parents
Data Management
Coding, key in, and checking
data
Creating different data files
Statistical analysis for specific
purposes
Work Completed in 2004
Data collection & management
Paper writing & publishingResults disseminationProfessional training
Data collection
teacher survey school profile community profile focus groups field & mail surveys
Data management
data files statistical
analyses
Paper Writing & Publishing in 2004
Conference papers2004 TPHA Annual Meeting (4 papers)132th APHA Annual Meeting (3 papers)2005 Biennial Meeting of SRCD (1 paper)First Conference on Statistical Methodology
(1 paper)
Journal articles1 paper published in Journal of Medical Science4 papers submitted to domestic and international journals
Results Dissemination in 2004
Annual reports Annual Report 2002 has been published
Annual Report 2003 is under preparation
Reference for parentsApplication of CABLE questionnaires
Professional Training
Master Doctor
2001
2002
2003
2004
Work Will Be Conducted
in 2005
Data Collection in 2005
Fifth graders (1st cohort) :
Subjects: students + parents
Field survey at 19 primary schools in 2 areas
Eighth graders (2nd cohort):
Subjects: students + parents
Field Survey at 27 junior high schools
+ mail survey
Data Analysis in 2005
Cross-sectional data analyses Multiple / logistic regression Multilevel analysis Structural equation model, etc.
Longitudinal data analyses Time series analysis Growth mixture model, etc.
Growth Mixture Model (GMM) (Muthen, 2004)
Use both continuous and categorical latent variables to represent individual differences in development.
Will be able to establish developmental typology of trajectories for child health lifestyle and also behavior problems.
The CABLE Project Website
CABLE s Homepage Sitemap
Overview Methods Publications News
Introduction
Memorandum of Events
Logo
Research Team
Contact Us
Study Design
Sampling
Data Collection
Field surveys
Student profiles
Health records
School profiles
Questionnaires
Student
Female caregiver
Male caregiver
Teacher
School
Journal Articles
Conference Papers
Annual Reports
Theses Abstracts
Links
Latest News
Major Findings
Longitudinal
Programs
Journals
Conferences
Members
Submit / Login
Member s Rights
Data
Discussion
Data ReleasePurpose: to maximize the contribution of the valuable CABLE datasets.A data-releasing guideline has been drawn-up in October, 2003.Three domestic researchers are working closely with CABLE research team currently.Connection with foreign scholars is building up.
2nd CABLE Conference
Will be held in early spring of 2005Target audiences:
Principles and teachers from study schools Officers from health and education departmentsResearchers and graduate students from academic institutes
CABLE Research TeamDivision of Health Policy Research,National Health Research Institutes
Institute of Health Policy and Management,College of Public Health, National Taiwan University
Department of Humanities and Social Sciences,National Defense Medical Center, National Defense University
~Thank You~
(1) Changes in Health-(1) Changes in Health-Related Behaviors Related Behaviors
Between 2001 and 2002 Between 2001 and 2002 Among Two Child Cohorts Among Two Child Cohorts
of the CABLE Studyof the CABLE Study
(1) Changes in Health-(1) Changes in Health-Related Behaviors Related Behaviors
Between 2001 and 2002 Between 2001 and 2002 Among Two Child Cohorts Among Two Child Cohorts
of the CABLE Studyof the CABLE StudyLee-Lan Yen, Ling-Yen Pan, Likwang Chen,Lee-Lan Yen, Ling-Yen Pan, Likwang Chen,
Szu-Hsien Lee, Chuhsing Hsiao, Szu-Hsien Lee, Chuhsing Hsiao,
Major FindingsMost of the positive health behaviors showed similar or increased rates over the two years. Decreased rates were only found in “wearing a motorcycle helmet” and “brushing teeth before sleeping”.
The prevalence rates of performing negative health behaviors and the rates of children who changed to good or bad behaviors over the two years varied depending on the behavioral item, cohort, and area.
Using vulgar language, drinking alcohol, and suicidal ideas are three problem behaviors with great potential in increase among children.
(2) The Influence of Family (2) The Influence of Family Interaction on the Initiation Interaction on the Initiation
of Smoking Among of Smoking Among Elementary Students in Elementary Students in
TaiwanTaiwan
(2) The Influence of Family (2) The Influence of Family Interaction on the Initiation Interaction on the Initiation
of Smoking Among of Smoking Among Elementary Students in Elementary Students in
TaiwanTaiwanLing-Yen Pan, Lee-Lan YenLing-Yen Pan, Lee-Lan Yen
Major FindingsThere were 3,961 students who completed the questionnaires both in 2001 and 2002.Regarding the initiation of cigarette smoking :
New triers : 2.89% Continuous triers : 7.74%
After controlling the children’s and family’s characteristics, those children with less family support and those receiving more punishment were more likely to be new triers.
Research Topics of Annual Report 2003
Lee-Lan Yen ( 李蘭 ): Change patterns of health behaviors from 2001 to 2003.
Tony Szu-Hsien Lee ( 李思賢 ): Test-retest the validity and reliability of psychological instruments for CABLE study.
Ling-Yen Pan ( 潘怜燕 ): Family interaction, parental psychological state and children’s suicidal ideation: Results from CABLE cohort study.
Wen-Chi Wu ( 吳文琪 ): Effects of school and class factors on the 6th graders’ health behaviors in northern Taiwan: Results of CABLE study, 2003.
Master ThesesHung-Chieh Chang ( 張弘潔 ): Social Capital of Family and School – Its Relationship with Children’s Internalized Behavioral Problems.
Jian-Tai Fu ( 傅健泰 ): The Impact of Leisure Activities on Sleep Deprivation and Negative Behaviors among Sixth-Graders : Playing Computer Games as An Example.
Chi-Hsien Kao ( 高啟賢 ): The Relationship between Children’s Depression and Family Interaction Types.
Hsin-I Liu ( 劉欣怡 ): The Relationship Between Parent’s Working Time and Children’s Overweight and Obesity Among The Fifth Graders.
Social Capital of Family and School ─ Its Relationship with Children’s Internalized Behavioral Problems
Major Finding:Those who are in lack of family social capital (low family interaction and high family conflict) and school social capital (low school identification) have more internalized behavioral problems. Besides, social capital might have more influence on girls than on boys.
Master: Hung-Chieh Chang Advisor: Lee-Lan YenMaster: Hung-Chieh Chang Advisor: Lee-Lan Yen
The Impact of Leisure Activities on Sleep Deprivation and Negative Behaviors among Sixth-Graders: Playing Computer Games as An Example
Major Finding:The rates of children who playing PC games frequently and everyday are 21% and 9% respectively. Playing PC games was found to be associated with children’s sleep deprivation and negative behaviors.
Master:Jian-Tai Fu Advisor:Lee-Lan YenMaster:Jian-Tai Fu Advisor:Lee-Lan Yen
The Relationship between Children’s Depression and Family Interaction Types
Major Findings :
Children were more likely to be depressed when their mothers have had psychological problems or fathers have performed violent behaviors.
Four types of family interaction: disciplinary, authoritative, supportive, and conflictive.
Children from authoritative or conflictive families were more likely to be depressed.
Master: Chi-Hsien Kao Advisor: Lee-Lan YenMaster: Chi-Hsien Kao Advisor: Lee-Lan Yen
The Relationship between Parent’s Working Time and Children’s Overweight and Obesity Among Fifth Graders
Major Findings :
Overweight: 11.8%(male); 10.5%(female)Obesity: 4.0%(male); 2.8%(female). Maternal working time (over 50 hrs/wk) was found to be associated with children’s overweight.
Master: Hsin-I Liu Advisor; Lee-Lan YenMaster: Hsin-I Liu Advisor; Lee-Lan Yen Likwang ChenLikwang Chen