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Clustering of energy balance-related behaviours, sleep, and overweight among Finnish adolescents.

https://arctichealth.org/en/permalink/ahliterature293518
Source
Int J Public Health. 2017 Nov; 62(8):929-938
Publication Type
Journal Article
Date
Nov-2017
Author
Teija Nuutinen
Elviira Lehto
Carola Ray
Eva Roos
Jari Villberg
Jorma Tynjälä
Author Affiliation
Folkhälsan Research Center, Helsinki, Finland.
Source
Int J Public Health. 2017 Nov; 62(8):929-938
Date
Nov-2017
Language
English
Publication Type
Journal Article
Keywords
Adolescent
Adolescent Behavior
Cluster analysis
Computers - utilization
Diet - statistics & numerical data
Energy Metabolism
Exercise - psychology
Female
Finland - epidemiology
Humans
Male
Pediatric Obesity - epidemiology
Risk factors
Sedentary lifestyle
Sex Distribution
Sleep
Surveys and Questionnaires
Television - utilization
Time Factors
Video Games - statistics & numerical data
Abstract
To examine how clusters of energy balance-related behaviours (EBRBs), including sleep related factors, were associated with overweight among adolescents.
In Finland, 4262 adolescents, aged 13-15, participated in the cross-national Health Behaviour in School-aged Children study. The adolescents completed questionnaires assessing EBRBs [sleep duration, discrepancy and quality, physical activity (PA), screen time, junk food, fruit, and vegetable intake] and height and weight. Clusters were identified with ?-means cluster analysis and their associations with overweight with logistic regression analyses.
Common clusters for boys and girls were labelled "Healthy lifestyle" and "High screen time, unhealthy lifestyle". In addition, the cluster "Low/moderate screen time, unhealthy lifestyle" was identified among boys, and the cluster "Poor sleep, unhealthy lifestyle" among girls. Only girls in the cluster "High screen time, unhealthy lifestyle" were at increased risk for overweight.
Girls, whose EBRB was characterized by high screen time and low PA, but not with poor sleep, were at increased risk for overweight. Future studies should examine ways to promote PA among adolescent girls with high interest in screen-based activities.
Notes
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PubMed ID
28593331 View in PubMed
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Computer use, sleep duration and health symptoms: a cross-sectional study of 15-year olds in three countries.

https://arctichealth.org/en/permalink/ahliterature263026
Source
Int J Public Health. 2014 Aug;59(4):619-28
Publication Type
Article
Date
Aug-2014
Author
Teija Nuutinen
Eva Roos
Carola Ray
Jari Villberg
Raili Välimaa
Mette Rasmussen
Bjørn Holstein
Emmanuelle Godeau
Francois Beck
Damien Léger
Jorma Tynjälä
Source
Int J Public Health. 2014 Aug;59(4):619-28
Date
Aug-2014
Language
English
Publication Type
Article
Keywords
Adolescent
Adolescent Behavior
Affective Symptoms - epidemiology
Anxiety - epidemiology
Attitude to Computers
Behavior, Addictive - epidemiology
Causality
Child
Comorbidity
Cross-Sectional Studies
Denmark - epidemiology
Female
Finland - epidemiology
France - epidemiology
Headache - epidemiology
Health status
Humans
Internet
Male
Microcomputers - utilization
Sex Factors
Sleep Disorders - epidemiology
Abstract
This study investigated whether computer use is associated with health symptoms through sleep duration among 15-year olds in Finland, France and Denmark.
We used data from the WHO cross-national Health Behaviour in School-aged Children study collected in Finland, France and Denmark in 2010, including data on 5,402 adolescents (mean age 15.61 (SD 0.37), girls 53%). Symptoms assessed included feeling low, irritability/bad temper, nervousness, headache, stomachache, backache, and feeling dizzy. We used structural equation modeling to explore the mediating effect of sleep duration on the association between computer use and symptom load.
Adolescents slept approximately 8 h a night and computer use was approximately 2 h a day. Computer use was associated with shorter sleep duration and higher symptom load. Sleep duration partly mediated the association between computer use and symptom load, but the indirect effects of sleep duration were quite modest in all countries.
Sleep duration may be a potential underlying mechanism behind the association between computer use and health symptoms.
PubMed ID
24848704 View in PubMed
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Do computer use, TV viewing, and the presence of the media in the bedroom predict school-aged children's sleep habits in a longitudinal study?

https://arctichealth.org/en/permalink/ahliterature256579
Source
BMC Public Health. 2013;13:684
Publication Type
Article
Date
2013
Author
Teija Nuutinen
Carola Ray
Eva Roos
Author Affiliation
Folkhälsan Research Center, Paasikivenkatu 4, 00250 Helsinki, Finland. teija.nuutinen@helsinki.fi
Source
BMC Public Health. 2013;13:684
Date
2013
Language
English
Publication Type
Article
Keywords
Chi-Square Distribution
Child
Computer Terminals - utilization
Family Characteristics
Female
Finland
Health Behavior
Health promotion
Humans
Linear Models
Longitudinal Studies
Male
Questionnaires
Sex Factors
Sleep
Social Media - utilization
Students - psychology
Television - utilization
Time Factors
Abstract
Electronic media use is becoming an increasingly important part of life for today's school-aged children. At the same time, concern of children's sleep habits has arisen, and cross-sectional studies have shown that electronic media use is associated with short sleep duration and sleep disturbances. The purpose of this longitudinal study was to investigate whether baseline electronic media use and media presence in a child's bedroom predicted sleep habits as well as changes in these sleep habits 18 months later among 10- to 11-year-old children in Finland.
The school-aged children (n=353, 51% girls) from 27 schools answered a questionnaire in 2006 and again 2008 in the Helsinki region of Finland. Electronic media use was measured by computer use and TV viewing. Media presence in a child's bedroom means the presence of a TV or a computer in a child's bedroom. Sleep habits were measured by bedtimes on school days and at the weekend days, sleep duration, discrepancy of bedtimes, and discrepancy of sleep duration between school days and weekends. Linear regression analyses were used to examine whether electronic media use and media presence predicted sleep habits with adjustments for grade, family structure, and baseline sleep. Gender differences were also examined.
The children used a computer for one hour per day and watched TV over one hour a day in 2006. They slept over nine hours on school days and over ten hours at the weekends in 2008. Computer use and television viewing predicted significantly shorter sleep duration (p
Notes
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PubMed ID
23886318 View in PubMed
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