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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
Cites: J Sleep Res. 2001 Mar;10(1):59-6711285056
Cites: J Sch Nurs. 2012 Dec;28(6):469-7622472633
Cites: Sleep. 2003 Mar 15;26(2):213-612683482
Cites: Sleep. 2004 Feb 1;27(1):101-414998244
Cites: Arch Pediatr Adolesc Med. 2004 Jun;158(6):562-815184220
Cites: Ambul Pediatr. 2004 Jul-Aug;4(4 Suppl):371-615264962
Cites: Int J Obes Relat Metab Disord. 2004 Oct;28(10):1238-4615314635
Cites: Indian J Pediatr. 1994 Mar-Apr;61(2):153-97927612
Cites: Pediatrics. 1999 Sep;104(3):e2710469810
Cites: J Sch Health. 2004 Nov;74(9):370-715656264
Cites: Am J Hum Biol. 2005 Jul-Aug;17(4):418-2415981178
Cites: Int J Obes (Lond). 2005 Aug;29(8):925-3315925961
Cites: J Sleep Res. 2005 Sep;14(3):267-7316120101
Cites: BMC Public Health. 2006;6:5916524482
Cites: Med Sci Sports Exerc. 2006 May;38(5):910-816672845
Cites: J Sleep Res. 2006 Sep;15(3):266-7516911029
Cites: Sleep Med Rev. 2006 Oct;10(5):323-3716564189
Cites: J Fam Psychol. 2007 Mar;21(1):4-1917371105
Cites: Sleep. 2007 Mar;30(3):361-717425233
Cites: J Adolesc. 2007 Aug;30(4):569-8516979753
Cites: Pediatrics. 2007 Nov;120(5):978-8517974734
Cites: Sleep. 2008 Jan;31(1):71-818220080
Cites: Paediatr Respir Rev. 2008 Jun;9(2):114-20; quiz 120-118513671
Cites: Behav Sleep Med. 2008;6(4):220-3318853306
Cites: J Dev Behav Pediatr. 2009 Oct;30(5):394-40219745760
Cites: Sleep Med. 2010 Oct;11(9):934-4020813580
Cites: Sleep Med Rev. 2010 Dec;14(6):371-820207558
Cites: Sleep. 2011 May;34(5):633-921532957
Cites: J Sch Nurs. 2012 Apr;28(2):138-4321878574
Cites: Arch Pediatr Adolesc Med. 2012 May;166(5):465-7222566548
Cites: J Appl Physiol (1985). 2003 May;94(5):1773-612533495
PubMed ID
23886318 View in PubMed
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Like parent, like child? Dietary resemblance in families.

https://arctichealth.org/en/permalink/ahliterature296566
Source
Int J Behav Nutr Phys Act. 2018 07 03; 15(1):62
Publication Type
Journal Article
Research Support, Non-U.S. Gov't
Date
07-03-2018
Author
Henna Vepsäläinen
Jaakko Nevalainen
Mikael Fogelholm
Liisa Korkalo
Eva Roos
Carola Ray
Maijaliisa Erkkola
Author Affiliation
Department of Food and Nutrition, University of Helsinki, P.O. Box 66, FI-00014, Helsinki, Finland. henna.vepsalainen@helsinki.fi.
Source
Int J Behav Nutr Phys Act. 2018 07 03; 15(1):62
Date
07-03-2018
Language
English
Publication Type
Journal Article
Research Support, Non-U.S. Gov't
Keywords
Adult
Child
Child Behavior
Child, Preschool
Cross-Sectional Studies
Diet
Diet Surveys
Family Characteristics
Fathers
Feeding Behavior
Female
Finland
Health Behavior
Humans
Male
Meals
Mothers
Parenting
Parents
Abstract
Studies investigating dietary resemblance between parents and their children have gained mixed results, and the resemblance seems to vary across nutrients, foods, dietary-assessment tools used, and parent-child pairs. We investigated parent-child dietary resemblance using a novel approach in applying statistical analysis, which allowed the comparison of 'whole-diet' between parents and their children. Additionally, we sought to establish whether sociodemographic factors or family meals were associated with dietary resemblance and whether parent-child dietary resemblance was dependent on the parent providing food consumption data on behalf of the child (father or mother, "the respondent").
The DAGIS study investigated health behaviors among Finnish preschoolers using a cross-sectional design. One parent filled in a food frequency questionnaire (FFQ) measuring the child's food consumption outside preschool hours during the last week. In addition, we instructed both parents or legal guardians, should the child have two, to fill in a similar FFQ regarding their own food use. Parents also reported their educational level, the number of children living in the same household, and the number of family meals. As a measure of dietary resemblance between a parent and a child, we computed Spearman correlations ranging mostly from no resemblance (0) to complete resemblance (+?1) between parent-child pairs over the 'whole-diet' (excluding preschool hours). These resemblance measures were further investigated using linear mixed models.
We obtained 665 father-child and 798 mother-child resemblance measures. Mother-child resemblance was on average 0.57 and stronger than father-child resemblance (0.50, p?
PubMed ID
29970093 View in PubMed
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Longitudinal associations between family characteristics and measures of childhood obesity.

https://arctichealth.org/en/permalink/ahliterature132456
Source
Int J Public Health. 2012 Jun;57(3):495-503
Publication Type
Article
Date
Jun-2012
Author
Reetta Lehto
Carola Ray
Eva Roos
Author Affiliation
Folkhälsan Research Center, Paasikivenkatu 4, 00250, Helsinki, Finland. Reetta.lehto@folkhalsan.fi
Source
Int J Public Health. 2012 Jun;57(3):495-503
Date
Jun-2012
Language
English
Publication Type
Article
Keywords
Body mass index
Child
Cross-Sectional Studies
Family Characteristics
Female
Finland - epidemiology
Follow-Up Studies
Humans
Longitudinal Studies
Male
Obesity - diagnosis - epidemiology
Prospective Studies
Questionnaires
Abstract
The objective of this study was to investigate cross-sectional and longitudinal associations between different family characteristics and body mass index (BMI) and waist-to-height ratio (WHtR) in children.
This was a prospective follow-up study conducted in Helsinki region with data collected in 2006 and 2008. The sample consisted of 550 children aged 9-11 at baseline. Children were measured and weighed by research staff, and they completed a questionnaire about their family characteristics.
More meals together with the family, more parenting practices at meals, less time home without adult company after school, and child's perception of receiving care from mother in 2006 predicted a lower BMI in 2008 and partly a smaller increase in BMI from 2006 to 2008. Fewer associations were found to WHtR. Physical activity with either parent was not associated with BMI or WHtR.
Several family characteristics predicted child BMI and WHtR 2 years later. These results contribute new knowledge about parental influence on child weight and weight gain and should be taken into account when planning interventions on the matter.
PubMed ID
21814847 View in PubMed
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