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Adolescents' prospective screen time by gender and parental education, the mediation of parental influences.

https://arctichealth.org/en/permalink/ahliterature112462
Source
Int J Behav Nutr Phys Act. 2013;10:89
Publication Type
Article
Date
2013
Author
Torunn H Totland
Mona Bjelland
Nanna Lien
Ingunn H Bergh
Mekdes K Gebremariam
May Grydeland
Yngvar Ommundsen
Lene F Andersen
Author Affiliation
Department of Nutrition, University of Oslo, NO-0316 Oslo, Norway. t.h.totland@medisin.uio.no
Source
Int J Behav Nutr Phys Act. 2013;10:89
Date
2013
Language
English
Publication Type
Article
Keywords
Adolescent
Adolescent Behavior
Adult
Child
Child Behavior
Computers
Cross-Sectional Studies
Educational Status
Fathers
Female
Gender Identity
Health Behavior
Humans
Linear Models
Longitudinal Studies
Male
Mothers
Norway
Parent-Child Relations
Parenting
Prospective Studies
Questionnaires
Sedentary lifestyle
Self Report
Sex Factors
Television
Video Games
Abstract
The present study investigated associations in gender dyads of parents' and adolescents' time spent on television and video viewing (TV/DVD), and computer and electronic game use (PC/games) at the ages of 11 and 13 years. Possible mediating effects of parental modelling and parental regulation in the relationship between parental education and adolescents' prospective TV/DVD and PC/game time were further examined.
A total of 908 adolescents, participating at both ages 11 and 13 years in the Norwegian HEalth In Adolescents (HEIA) cohort study (2007-2009), were included in the analyses. Data on adolescents', mothers' and fathers' self reported time spent on TV/DVD and PC/games were measured at both time points by questionnaires. Correlation coefficients were used to examine gender dyads of parents' and adolescents' reports. Mediation analyses using linear regression investigated possible mediation effects of parental modelling and parental regulation in the prospective relationship between parental education and adolescents' time spent on TV/DVD and PC/games between the ages of 11 and 13 years.
Correlations of screen time behaviours in gender dyads of parents and adolescents showed significant associations in time spent on TV/DVD at the age of 11 and 13 years. Associations between mothers and sons and between fathers and daughters were also observed in time spent on PC/games at the age of 11 years. Maternal and paternal modelling was further found to mediate the relationship between parental education and adolescents' prospective TV/DVD time between the ages of 11 and 13 years. No mediation effect was observed for parental regulation, however a decrease in both maternal and paternal regulation at the age of 11 years significantly predicted more TV/DVD time among adolescents at the age of 13 years.
Cross-sectional and longitudinal relationships were observed in gender dyads of parents' and adolescents' screen time behaviours at the ages of 11 and 13 years, and further studies including both parents and their children should be emphasized. Moreover, maternal and paternal modelling were found to be important target variables in interventions aiming to reduce social differences by parental education in adolescents' prospective time spent on TV/DVD.
Notes
Cites: BMJ. 2000 May 6;320(7244):1240-310797032
Cites: Proc Nutr Soc. 2000 May;59(2):279-9310946797
Cites: J Adolesc. 2000 Dec;23(6):763-8311161338
Cites: Pediatr Clin North Am. 2001 Aug;48(4):1017-2511494635
Cites: Prev Med. 2002 Feb;34(2):266-7811817924
Cites: J Fam Psychol. 2002 Dec;16(4):415-2712561286
Cites: Public Health Nutr. 2004 Feb;7(1A):123-4614972057
Cites: Lancet. 2004 Jul 17-23;364(9430):257-6215262103
Cites: Int J Behav Med. 2004;11(3):152-6315496343
Cites: Scand J Public Health. 2005;33(2):99-10615823970
Cites: Int J Obes (Lond). 2005 Aug;29(8):925-3315925961
Cites: J Pediatr. 2005 Oct;147(4):436-4216227026
Cites: Obes Res. 2005 Nov;13(11):1939-5116339126
Cites: Public Health Nutr. 2006 Apr;9(2):244-5016571179
Cites: J Pediatr. 2006 Jul;149(1):32-716860123
Cites: Annu Rev Psychol. 2007;58:593-61416968208
Cites: Psychol Sci. 2007 Mar;18(3):233-917444920
Cites: Health Educ Res. 2007 Jun;22(3):438-4916987942
Cites: Am J Prev Med. 2007 Jul;33(1):41-717572310
Cites: Med Sci Sports Exerc. 2007 Aug;39(8):1241-5017762356
Cites: Nutr Metab Cardiovasc Dis. 2008 Mar;18(3):242-5118083016
Cites: Behav Res Methods. 2008 Aug;40(3):879-9118697684
Cites: Pediatr Exerc Sci. 2008 Aug;20(3):251-6218714116
Cites: Br J Dev Psychol. 2009 Mar;27(Pt 1):123-4319829761
Cites: BMC Public Health. 2010;10:19420398306
Cites: Prev Med. 2010 Jul;51(1):50-520359491
Cites: Prev Med. 2010 Jul;51(1):3-1020417227
Cites: Exerc Sport Sci Rev. 2010 Jul;38(3):105-1320577058
Cites: BMC Public Health. 2010;10:32420534116
Cites: Prev Med. 2010 Nov;51(5):345-5120682330
Cites: Pediatrics. 2010 Nov;126(5):e1011-720937661
Cites: Int J Pediatr Obes. 2010 Dec;5(6):491-50020233161
Cites: Scand J Public Health. 2010 Nov;38(5 Suppl):19-2721062836
Cites: Scand J Public Health. 2010 Nov;38(5 Suppl):38-5121062838
Cites: Scand J Public Health. 2011 Mar;39(6 Suppl):62-7821382850
Cites: J Adolesc Health. 2011 Apr;48(4):379-8521402267
Cites: Int J Pediatr Obes. 2011 Jun;6(2-2):e364-7220883101
Cites: J Phys Act Health. 2011 Jul;8(5):613-2521734306
Cites: Am J Prev Med. 2011 Aug;41(2):178-8821767726
Cites: Br J Sports Med. 2011 Sep;45(11):896-90521836173
Cites: Br J Sports Med. 2011 Sep;45(11):906-1321836174
Cites: J Public Health (Oxf). 2011 Sep;33(3):392-40221047871
Cites: Int J Behav Nutr Phys Act. 2011;8:9821936895
Cites: BMC Public Health. 2012;12:10422309715
Cites: Psychol Health Med. 2012;17(3):255-7321995842
Cites: Lancet. 2012 Apr 28;379(9826):1630-4022538178
Cites: Public Health Nutr. 2012 Aug;15(8):1380-9522269173
Cites: Am J Prev Med. 2012 Aug;43(2):150-822813679
Cites: Scand J Public Health. 2012 Jul;40(5):491-722833556
Cites: Acta Paediatr. 2013 Feb;102(2):199-20523121043
PubMed ID
23829607 View in PubMed
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Changes in adolescents' intake of sugar-sweetened beverages and sedentary behaviour: results at 8 month mid-way assessment of the HEIA study--a comprehensive, multi-component school-based randomized trial.

https://arctichealth.org/en/permalink/ahliterature133662
Source
Int J Behav Nutr Phys Act. 2011;8:63
Publication Type
Article
Date
2011
Author
Mona Bjelland
Ingunn H Bergh
May Grydeland
Knut-Inge Klepp
Lene F Andersen
Sigmund A Anderssen
Yngvar Ommundsen
Nanna Lien
Author Affiliation
Department of Nutrition, Faculty of Medicine, University of Oslo, Oslo, Norway. mona.bjelland@medisin.uio.no
Source
Int J Behav Nutr Phys Act. 2011;8:63
Date
2011
Language
English
Publication Type
Article
Keywords
Beverages
Child
Dietary Sucrose - administration & dosage
Female
Food Habits - psychology
Food Preferences - psychology
Health Behavior
Health promotion
Humans
Linear Models
Male
Norway
Obesity - prevention & control
Parenting
Program Evaluation
Questionnaires
Schools
Sedentary lifestyle
Self Report
Sex Factors
Socioeconomic Factors
Sweetening Agents
Television
Abstract
Inconsistent effects of school-based obesity prevention interventions may be related to how different subgroups receive them. The aim of this study was to evaluate the effect of an intervention program, including fact sheets to parents and classroom components, on intake of sugar-sweetened beverages (SSB) and screen time. Further, to explore whether potential effects and parental involvement varied by adolescents' gender, weight status (WS) and parental educational level.
In total, 1465 11-year-olds participated at the pre-test and the 8 month mid-way assessment of the HEIA study. Parents (n = 349) contributed with process evaluation data. Self-reported intake of SSB was collected from the 11-year-olds assessing frequency and amount, while time used on watching TV/DVD and computer/game-use (weekday and weekend day) were assed by frequency measures. Data on awareness of the intervention and dose received were collected from parents. Covariance analyses (ANCOVA) were conducted testing for effects by gender and for moderation by WS and parental education.
Time spent on TV/DVD (week p = 0.001, weekend p = 0.03) and computer/game-use (week p = 0.004, weekend p
Notes
Cites: J Fam Psychol. 2004 Jun;18(2):348-6015222842
Cites: Obes Rev. 2007 May;8(3):197-20917444962
Cites: JAMA. 1998 Mar 25;279(12):959-609544774
Cites: Arch Pediatr Adolesc Med. 1999 Apr;153(4):409-1810201726
Cites: Arch Pediatr Adolesc Med. 1999 Sep;153(9):975-8310482216
Cites: Health Promot Pract. 2005 Apr;6(2):134-4715855283
Cites: Health Educ Res. 2007 Jun;22(3):438-4916987942
Cites: Med Sci Sports Exerc. 2007 Aug;39(8):1241-5017762356
Cites: JAMA. 1999 Oct 27;282(16):1561-710546696
Cites: BMJ. 2000 May 6;320(7244):1240-310797032
Cites: Dev Psychol. 2000 May;36(3):366-8010830980
Cites: Child Dev. 2000 Jul-Aug;71(4):1072-8511016567
Cites: Am J Clin Nutr. 2001 Feb;73(2):158-7111157310
Cites: J Am Diet Assoc. 2003 Jun;103(6):721-812778044
Cites: Prev Med. 2003 Dec;37(6 Pt 2):S80-9014636812
Cites: Prev Med. 2004 May;38 Suppl:S78-8715072862
Cites: BMJ. 2004 May 22;328(7450):123715107313
Cites: Obes Rev. 2008 Jan;9(1):35-4218154601
Cites: Nutr Rev. 2008 Mar;66(3):123-4018289177
Cites: Nutr Metab Cardiovasc Dis. 2008 Mar;18(3):242-5118083016
Cites: Int J Obes (Lond). 2008 Apr;32(4):601-1218253162
Cites: Int J Obes (Lond). 2008 Oct;32(10):1489-9818626482
Cites: Health Educ Res. 2008 Dec;23(6):997-100718156147
Cites: Int J Sports Physiol Perform. 2006 Mar;1(1):50-719114737
Cites: Br J Sports Med. 2009 Jan;43(1):10-318971250
Cites: Obes Rev. 2009 Jan;10(1):110-4118673306
Cites: Arch Pediatr Adolesc Med. 2009 Apr;163(4):309-1719349559
Cites: Arch Pediatr Adolesc Med. 2009 Apr;163(4):388-919349571
Cites: Int J Obes (Lond). 2009 Apr;33 Suppl 1:S74-8119363514
Cites: Obes Rev. 2009 May;10(3):350-619207878
Cites: Prev Chronic Dis. 2009 Jul;6(3):A10619527578
Cites: Int J Public Health. 2009 Sep;54 Suppl 2:167-7919618111
Cites: BMC Med. 2009;7:4919765270
Cites: J Nutr Educ Behav. 2010 Jan-Feb;42(1):17-2519914872
Cites: Health Educ Res. 2010 Apr;25(2):199-21018502732
Cites: Int J Pediatr Obes. 2010 Dec;5(6):491-50020233161
Cites: Scand J Public Health. 2010 Nov;38(5 Suppl):38-5121062838
Cites: Obes Rev. 2011 Mar;12(3):205-1620122137
Cites: Scand J Public Health. 2010 Nov;38(5 Suppl):19-2721062836
Cites: Child Dev. 2005 Jul-Aug;76(4):869-8216026502
Cites: J Spec Pediatr Nurs. 2006 Jan;11(1):41-5616409505
Cites: Arch Pediatr Adolesc Med. 2006 Feb;160(2):128-3616461867
Cites: Pediatrics. 2006 Mar;117(3):673-8016510646
Cites: J Adolesc. 2006 Jun;29(3):333-4916246411
Cites: Psychol Bull. 2006 Sep;132(5):667-9116910747
Cites: J Nutr Educ Behav. 2006 Sep-Oct;38(5):298-30616966051
Cites: J Sci Med Sport. 2006 Oct;9(5):388-9416872900
Cites: Health Educ Res. 2006 Dec;21(6):911-2117032704
Cites: Health Educ Res. 2006 Dec;21(6):783-9517099075
Cites: Am J Prev Med. 2007 Feb;32(2):163-7217197152
Cites: Health Educ Res. 2007 Apr;22(2):203-2616861362
Cites: Appetite. 2007 May;48(3):345-5017126451
Cites: Public Health Nutr. 2007 May;10(5):443-917411463
Cites: Prev Med. 1996 Jul-Aug;25(4):455-648818068
PubMed ID
21679476 View in PubMed
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The contribution of snacks to dietary intake and their association with eating location among Norwegian adults - results from a cross-sectional dietary survey.

https://arctichealth.org/en/permalink/ahliterature270018
Source
BMC Public Health. 2015;15:369
Publication Type
Article
Date
2015
Author
Jannicke B Myhre
Elin B Løken
Margareta Wandel
Lene F Andersen
Source
BMC Public Health. 2015;15:369
Date
2015
Language
English
Publication Type
Article
Keywords
Adolescent
Adult
Aged
Cross-Sectional Studies
Diet
Diet Surveys
Eating
Energy intake
Female
Humans
Male
Middle Aged
Norway
Sex Factors
Snacks
Young Adult
Abstract
Snack consumption has been reported to increase over recent decades. Little is known about possible associations between snack composition and snack eating location. In the present study, we aimed to describe the contribution of snacks to dietary intake in Norwegian adults and to investigate whether the composition of snacks differed according to where they were eaten.
Dietary data were collected in 2010 and 2011 using two telephone administered 24 h recalls about four weeks apart. In total, 1787 participants aged 18-70 years completed two recalls. The recorded eating locations were at home, other private household, work/school, restaurant/cafe/fast-food outlet and travel/meeting.
Snacks contributed to 17% and 21% of the energy intake in men and women, respectively. Compared with main meals, snacks had a higher fiber density (g/MJ) and contained a higher percentage of energy from carbohydrates, added sugars and alcohol, while the percentages of energy from fat and protein were lower. The top five energy-contributing food groups from snacks were cakes, fruits, sugar/sweets, bread and alcoholic beverages. Snacks were mostly eaten at home (58% of all snacks) or at work/school (23% of all snacks). Snacks consumed at work/school contained less energy, had a higher percentage of energy from carbohydrates and had lower percentages of energy from added sugars, alcohol and fat than snacks consumed at home. Snacks consumed during visits to private households and at restaurants/cafe/fast-food outlets contained more energy, had a higher percentage of energy from fat and had a lower fiber density than snacks consumed at home.
We conclude that snacks are an important part of the diet and involve the consumption of both favorable and less favorable foods. Snacks eaten at home or at work/school were generally healthier than snacks consumed during visits to other private households or at restaurants/cafe/fast-food outlets. Nutritional educators should recommend healthy snack options and raise awareness of the association between eating location and snack composition.
Notes
Cites: Int J Obes Relat Metab Disord. 1998 Apr;22(4):303-119578234
Cites: Eur J Clin Nutr. 1998 Aug;52(8):565-729725656
Cites: Br J Nutr. 1999 Mar;81(3):211-2010434847
Cites: Int J Obes (Lond). 2005 Jun;29(6):711-915809664
Cites: Public Health Nutr. 2005 May;8(3):258-6515918922
Cites: J Am Diet Assoc. 2006 Jan;106(1):46-5316390666
Cites: Eur J Clin Nutr. 2006 Apr;60(4):494-50116319836
Cites: Obesity (Silver Spring). 2007 Jan;15(1):197-20817228048
Cites: Public Health Nutr. 2009 Jun;12(6):871-618671888
Cites: Br J Nutr. 2009 Sep;102(6):921-819335927
Cites: J Nutr. 2010 Feb;140(2):325-3219955403
Cites: J Am Diet Assoc. 2010 May;110(5):768-7220430139
Cites: Appetite. 2010 Jun;54(3):623-620347899
Cites: Obes Rev. 2010 Jun;11(6):413-2919889178
Cites: Obes Rev. 2012 Apr;13(4):329-4622106948
Cites: Eur J Clin Nutr. 2013 Aug;67(8):868-7423486510
Cites: Public Health Nutr. 2014 Apr;17(4):915-2323481490
Cites: J Acad Nutr Diet. 2015 Jan;115(1):50-6325088521
Cites: Appetite. 2015 Apr;87:199-20425558025
Cites: Public Health Nutr. 2015 Aug;18(11):2011-2125384694
Cites: Eur J Clin Nutr. 2000 May;54(5):395-40410822286
Cites: Eur J Clin Nutr. 2000 Sep;54(9):706-1411002383
Cites: Int J Obes Relat Metab Disord. 2000 Sep;24(9):1119-3011033980
Cites: Physiol Behav. 2003 Jul;79(2):183-912834789
Cites: Prev Med. 2004 Feb;38(2):243-914715218
Cites: Eur J Clin Nutr. 1991 Dec;45(12):569-811810719
Cites: Eur J Clin Nutr. 1995 Jan;49(1):33-417713049
PubMed ID
25888253 View in PubMed
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Correlates of weight status among Norwegian 11-year-olds: The HEIA study.

https://arctichealth.org/en/permalink/ahliterature118372
Source
BMC Public Health. 2012;12:1053
Publication Type
Article
Date
2012
Author
May Grydeland
Ingunn H Bergh
Mona Bjelland
Nanna Lien
Lene F Andersen
Yngvar Ommundsen
Knut-Inge Klepp
Sigmund A Anderssen
Author Affiliation
Department of Nutrition, Faculty of Medicine, University of Oslo, Oslo, Norway. may.grydeland@nih.no
Source
BMC Public Health. 2012;12:1053
Date
2012
Language
English
Publication Type
Article
Keywords
Child
Cross-Sectional Studies
Diet - statistics & numerical data
Educational Status
Female
Humans
Male
Motor Activity
Norway - epidemiology
Overweight - epidemiology
Parents
Risk factors
Sedentary lifestyle
Sex Distribution
Abstract
The underlying mechanisms of overweight and obesity in adolescents are still not fully understood. The aim of this study was to investigate modifiable and non-modifiable correlates of weight status among 1103 Norwegian 11-year-old adolescents in the HEalth in Adolescents (HEIA) study, including demographic factors such as gender and parental education, and behavioral factors such as intake of sugar-sweetened beverages, snacks and breakfast consumption, watching TV and playing computer games, physical activity and sedentary time.
Weight and height were measured objectively, body mass index (BMI) was calculated and International Obesity Task Force cut-offs were used to define weight status. Physical activity and sedentary time were measured by accelerometers. Other behavioral correlates and pubertal status were self-reported by questionnaires. Parental education was reported by the parents on the consent form for their child. Associations were investigated using logistic regressions.
There were gender differences in behavioral correlates of weight status but not for weight status itself. Adolescents with parents in the highest education category had a 46% reduced odds of being overweight compared to adolescents with parents in the lowest education category. Adolescents with parents with medium education had 42% lower odds of being overweight than adolescents with parents with the lowest education category. Level of parental education, breakfast consumption and moderate to vigorous physical activity were positively associated with being normal weight, and time watching TV was positively associated with being overweight for the total sample. Gender differences were detected; boys had a doubled risk of being overweight for every additional hour of watching TV per week, while for girls there was no association.
The present study showed a social gradient in weight status in 11-year-olds. Both breakfast consumption and moderate to vigorous physical activity were inversely associated with weight status. No associations were found between intake of sugar-sweetened beverages and snacks, playing computer games and weight status. Watching TV was positively associated with weight status for boys but not for girls. Interventions are needed to gain more insight into the correlates of change in weight status.
Notes
Cites: PLoS One. 2011;6(2):e1720521383837
Cites: Scand J Public Health. 2010 Nov;38(5 Suppl):38-5121062838
Cites: Obes Rev. 2011 May;12(5):e130-4220630024
Cites: Am J Prev Med. 2011 Jun;40(6):e33-4; author reply e3421565646
Cites: BMC Public Health. 2011;11:31121569476
Cites: Int J Behav Nutr Phys Act. 2011;8:9821936895
Cites: Public Health Nutr. 2012 Mar;15(3):379-8521835086
Cites: JAMA. 2012 Feb 15;307(7):704-1222337681
Cites: PLoS One. 2012;7(4):e3474222558098
Cites: Scand J Public Health. 2012 Jul;40(5):491-722833556
Cites: Med Sci Sports Exerc. 2000 May;32(5):963-7510795788
Cites: BMJ. 2000 May 6;320(7244):1240-310797032
Cites: Med Sci Sports Exerc. 2001 Feb;33(2):275-8111224818
Cites: Int J Obes Relat Metab Disord. 2003 Oct;27(10):1258-6614513075
Cites: Public Health Nutr. 2004 Apr;7(2):285-9315003136
Cites: Am J Clin Nutr. 2004 Sep;80(3):584-9015321796
Cites: Obes Res. 2004 Sep;12 Suppl:38S-45S15489466
Cites: Psychol Bull. 1989 Mar;105(2):260-752648443
Cites: J Adolesc Health. 1993 May;14(3):190-58323929
Cites: Med Sci Sports Exerc. 1998 Apr;30(4):629-339565947
Cites: Scand J Public Health. 2005;33(2):99-10615823970
Cites: J Am Diet Assoc. 2005 Jun;105(6):938-4515942545
Cites: Obes Res. 2005 Sep;13(9):1606-1416222064
Cites: Int J Obes (Lond). 2007 Jan;31(1):30-816788570
Cites: Health Educ Res. 2007 Apr;22(2):203-2616861362
Cites: Pediatr Res. 2007 Jun;61(6):745-917426650
Cites: Int J Pediatr Obes. 2006;1(1):11-2517902211
Cites: J Sports Sci. 2007 Dec;25(14):1607-1117852668
Cites: Obesity (Silver Spring). 2008 Feb;16(2):275-8418239633
Cites: J Sch Health. 2008 Apr;78(4):189-9618336677
Cites: Nutr Metab Cardiovasc Dis. 2008 Mar;18(3):242-5118083016
Cites: Clin Physiol Funct Imaging. 2008 Jul;28(4):211-518177416
Cites: J Public Health (Oxf). 2008 Sep;30(3):258-6518467431
Cites: Obes Rev. 2008 Sep;9(5):474-8818331423
Cites: Exerc Sport Sci Rev. 2008 Oct;36(4):173-818815485
Cites: Obes Rev. 2009 Jan;10(1):110-4118673306
Cites: Int J Obes (Lond). 2009 Apr;33 Suppl 1:S82-619363515
Cites: Int J Obes (Lond). 2009 Jul;33(7):705-1519399020
Cites: Int J Public Health. 2009 Sep;54 Suppl 2:167-7919618111
Cites: BMC Public Health. 2009;9:38919828037
Cites: J Hum Nutr Diet. 2010 Feb;23(1):85-9620078731
Cites: BMC Public Health. 2010;10:19420398306
Cites: Lancet. 2010 May 15;375(9727):1737-4820451244
Cites: Scand J Med Sci Sports. 2010 Feb;20(1):e41-719422647
Cites: Obes Rev. 2010 Aug;11(8):553-920025696
Cites: Obes Rev. 2010 Oct;11(10):695-70820331509
Cites: Public Health Nutr. 2010 Oct;13(10A):1680-720883566
Cites: Scand J Public Health. 2010 Nov;38(5 Suppl):19-2721062836
Cites: Obes Rev. 2011 May;12(5):e119-2920604868
PubMed ID
23216675 View in PubMed
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Development of family and dietary habits questionnaires: the assessment of family processes, dietary habits and adolescents' impulsiveness in Norwegian adolescents and their parents.

https://arctichealth.org/en/permalink/ahliterature260951
Source
Int J Behav Nutr Phys Act. 2014;11:130
Publication Type
Article
Date
2014
Author
Mona Bjelland
Solveig E S Hausken
Ester F C Sleddens
Lene F Andersen
Hanne C Lie
Arnstein Finset
Lea Maes
Elisabeth L Melbye
Kari Glavin
Merete W Hanssen-Bauer
Nanna Lien
Source
Int J Behav Nutr Phys Act. 2014;11:130
Date
2014
Language
English
Publication Type
Article
Keywords
Adolescent
Adult
Beverages
Cross-Sectional Studies
Energy Metabolism
European Continental Ancestry Group
Female
Food Habits - psychology
Health Behavior
Humans
Impulsive Behavior
Male
Middle Aged
Norway
Parent-Child Relations
Parenting
Parents
Questionnaires
Reproducibility of Results
Socioeconomic Factors
Sweetening Agents
Vegetables
Abstract
There is a need for valid and comprehensive measures of parental influence on children's energy balance-related behaviours (EBRB). Such measures should be based on a theoretical framework, acknowledging the dynamic and complex nature of interactions occurring within a family. The aim of the Family & Dietary habits (F&D) project was to develop a conceptual framework identifying important and changeable family processes influencing dietary behaviours of 13-15 year olds. A second aim was to develop valid and reliable questionnaires for adolescents and their parents (both mothers and fathers) measuring these processes.
A stepwise approach was used; (1) preparation of scope and structure, (2) development of the F&D questionnaires, (3) the conducting of pilot studies and (4) the conducting of validation studies (assessing internal reliability, test-retest reliability and confirmatory factor analysis) using data from a cross-sectional study.
The conceptual framework includes psychosocial concepts such as family functioning, cohesion, conflicts, communication, work-family stress, parental practices and parental style. The physical characteristics of the home environment include accessibility and availability of different food items, while family meals are the sociocultural setting included. Individual characteristics measured are dietary intake (vegetables and sugar-sweetened beverages) and adolescents' impulsivity. The F&D questionnaires developed were tested in a test-retest (54 adolescents and 44 of their parents) and in a cross-sectional survey including 440 adolescents (13-15 year olds), 242 mothers and 155 fathers. The samples appear to be relatively representative for Norwegian adolescents and parents. For adolescents, mothers and fathers, the test-retest reliability of the dietary intake, frequencies of (family) meals, work-family stress and communication variables was satisfactory (ICC: 0.53-0.99). Barratt Impulsiveness Scale-Brief (BIS-Brief) was included, assessing adolescent's impulsivity. The internal reliability (Cronbach's alphas: 0.77/0.82) and test-retest reliability values (ICC: 0.74/0.77) of BIS-Brief were good.
The conceptual framework developed may be a useful tool in guiding measurement and assessment of the home food environment and family processes related to adolescents' dietary habits, in particular and for EBRBs more generally. The results support the use of the F&D questionnaires as psychometrically sound tools to assess family characteristics and adolescent's impulsivity.
Notes
Cites: Child Dev. 2010 Mar-Apr;81(2):636-5120438465
Cites: BMC Public Health. 2010;10:27620500859
Cites: J Am Diet Assoc. 2010 Jul;110(7):1036-4220630160
Cites: Clin Child Fam Psychol Rev. 2010 Sep;13(3):231-5320689989
Cites: Public Health Nutr. 2010 Oct;13(10A):1729-3520883573
Cites: Scand J Public Health. 2010 Nov;38(5 Suppl):38-5121062838
Cites: Pediatrics. 2011 Jun;127(6):e1565-7421536618
Cites: Int J Pediatr Obes. 2011 Jun;6(2-2):e12-2721657834
Cites: BMC Med Res Methodol. 2011;11:11321827703
Cites: Eur Child Adolesc Psychiatry. 2011 Oct;20(10):499-50821847620
Cites: Public Health Nutr. 2012 Mar;15(3):379-8521835086
Cites: Eat Behav. 2012 Apr;13(2):150-322365801
Cites: J Nutr Educ Behav. 2012 Mar-Apr;44(2):132-922230473
Cites: Int J Behav Nutr Phys Act. 2011;8:13622152048
Cites: Soc Sci Med. 2012 Aug;75(3):496-50422591825
Cites: Public Health Nutr. 2012 Aug;15(8):1380-9522269173
Cites: Eur J Nutr. 2012 Sep;51(6):637-6322684631
Cites: Int J Methods Psychiatr Res. 2012 Sep;21(3):195-20422836590
Cites: Public Health Nutr. 2011 Dec;14(12):2156-6521729482
Cites: BMC Res Notes. 2012;5:43422888983
Cites: Appetite. 2013 Mar;62:110-823207187
Cites: Clin Psychol Rev. 2013 Mar;33(2):253-6223313762
Cites: Psychol Assess. 2013 Mar;25(1):216-2623148649
Cites: Int J Behav Nutr Phys Act. 2013;10:6123688157
Cites: Child Obes. 2013 Aug;9 Suppl:S22-3123944921
Cites: Child Obes. 2013 Aug;9 Suppl:S73-8623944926
Cites: Am J Clin Nutr. 2013 Oct;98(4):1084-10223966427
Cites: Dev Psychol. 2014 Jan;50(1):229-3623668799
Cites: Int J Behav Nutr Phys Act. 2014;11:1524512450
Cites: Am J Clin Nutr. 2014 May;99(5):1096-10424572563
Cites: Fam Process. 1999 Winter;38(4):497-51010668625
Cites: Public Health Nutr. 2000 Sep;3(3):345-5610979154
Cites: Nutr Rev. 2001 Mar;59(3 Pt 2):S21-39; discussion S57-6511330630
Cites: Am J Psychiatry. 2001 Nov;158(11):1783-9311691682
Cites: Percept Mot Skills. 2002 Oct;95(2):621-3512434861
Cites: J Adolesc Health. 2003 May;32(5):365-7312729986
Cites: Health Educ Behav. 2003 Oct;30(5):615-2614582601
Cites: J Occup Health Psychol. 2004 Jan;9(1):83-9714700459
Cites: Public Health Nutr. 2004 Apr;7(2):285-9315003136
Cites: Tidsskr Nor Laegeforen. 2004 May 20;124(10):1396-815195180
Cites: Biometrics. 1977 Mar;33(1):159-74843571
Cites: Stat Med. 1994 Dec 15-30;13(23-24):2465-767701147
Cites: Public Health Nutr. 2004 Dec;7(8):991-815548337
Cites: Ann Nutr Metab. 2005 Jul-Aug;49(4):236-4516088087
Cites: J Am Diet Assoc. 2006 Apr;106(4):526-3216567147
Cites: J Fam Psychol. 2006 Jun;20(2):175-8916756393
Cites: Eat Behav. 2006 Nov;7(4):315-2217056407
Cites: Obesity (Silver Spring). 2007 Mar;15(3):719-3017372323
Cites: J Pediatr Psychol. 2007 Sep;32(8):960-7217535817
Cites: Percept Mot Skills. 2007 Jun;104(3 Pt 2):1169-8217879649
Cites: Nutr Rev. 2008 Mar;66(3):123-4018289177
Cites: Annu Rev Public Health. 2008;29:253-7218031223
Cites: J Am Diet Assoc. 2008 Jul;108(7):1231-518589035
Cites: Public Health Nutr. 2009 Mar;12(3):307-1518498677
Cites: Int J Adolesc Med Health. 2009 Oct-Dec;21(4):457-8320306760
Cites: Obesity (Silver Spring). 2010 Apr;18(4):818-2519816417
PubMed ID
25316270 View in PubMed
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Dietary patterns of women aged 50-69 years and associations with nutrient intake, sociodemographic factors and key risk factors for non-communicable diseases.

https://arctichealth.org/en/permalink/ahliterature290911
Source
Public Health Nutr. 2016 08; 19(11):2024-32
Publication Type
Journal Article
Research Support, Non-U.S. Gov't
Date
08-2016
Author
Marianne S Markussen
Marit B Veierød
Anne Lene Kristiansen
Giske Ursin
Lene F Andersen
Author Affiliation
1Institute of Basic Medical Sciences,Department of Nutrition,University of Oslo,Blindern,Oslo,Norway.
Source
Public Health Nutr. 2016 08; 19(11):2024-32
Date
08-2016
Language
English
Publication Type
Journal Article
Research Support, Non-U.S. Gov't
Keywords
Aged
Cross-Sectional Studies
Diet
Feeding Behavior
Female
Humans
Middle Aged
Noncommunicable Diseases - epidemiology
Norway
Risk factors
Socioeconomic Factors
Surveys and Questionnaires
Abstract
In women, the risk for non-communicable diseases increases after menopause. We aimed to identify major dietary patterns and study their associations with nutrient intake, sociodemographic factors and risk factors for non-communicable diseases among women aged 50-69 years.
A cross-sectional study. Food intake was recorded by a 253-item FFQ. Dietary patterns were identified using principal component analysis. The associations between the dietary patterns and nutrients were described by Pearson's correlation coefficients and multiple regression analysis was used to examine the associations between the dietary patterns and age, education, BMI, physical activity and smoking.
The Norwegian Breast Cancer Screening Programme.
Women (n 6298) aged 50-69 years.
Three dietary patterns were identified: 'Prudent', 'Western' and 'Continental'. Adherence to the 'Prudent' pattern was related to older age, higher education, higher BMI, more physical activity (P trend
PubMed ID
26780977 View in PubMed
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Dietary patterns on weekdays and weekend days in 4-14-year-old Danish children.

https://arctichealth.org/en/permalink/ahliterature120908
Source
Br J Nutr. 2013 May;109(9):1704-13
Publication Type
Article
Date
May-2013
Author
Berit W Rothausen
Jeppe Matthiessen
Lene F Andersen
Per B Brockhoff
Inge Tetens
Author Affiliation
Division of Nutrition, National Food Institute, Technical University of Denmark, Mørkhøj Bygade 19, Søborg, Denmark. bewro@food.dtu.dk
Source
Br J Nutr. 2013 May;109(9):1704-13
Date
May-2013
Language
English
Publication Type
Article
Keywords
Adolescent
Child
Child, Preschool
Denmark
Diet Records
Female
Health Behavior
Humans
Male
Principal Component Analysis
Abstract
Little is known about dietary patterns on weekdays and weekend days in children, and the aim of the present study was to investigate 4–14-year-old children's dietary patterns specifically on weekdays (Monday–Thursday) and weekend days (Saturday–Sunday). Dietary data were derived from the Danish National Survey of Dietary Habits and Physical Activity 2003–8, where a total of 784 children aged 4–14 years completed a 7 d pre-coded food record. Principal component analysis was used to identify dietary patterns in the age groups 4–6, 7–10 and 11–14 years. Consistently, two dietary patterns, labelled ‘processed’ and ‘health conscious’, emerged on both weekdays and weekend days. Factor scores from corresponding dietary patterns were significantly correlated between weekdays and weekend days with the exception of the ‘health conscious’ pattern in the 7–10-year-olds. Within each age group, children with high agreement for the ‘processed’ pattern had a significantly higher dietary energy density, which was reflected in significantly higher intakes of sugar-sweetened beverages and lower intakes of fruit and vegetables, compared with children with high agreement for the ‘health conscious’ pattern (P
PubMed ID
22958341 View in PubMed
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Differences in Danish children's diet quality on weekdays v. weekend days.

https://arctichealth.org/en/permalink/ahliterature124085
Source
Public Health Nutr. 2012 Sep;15(9):1653-60
Publication Type
Article
Date
Sep-2012
Author
Berit W Rothausen
Jeppe Matthiessen
Camilla Hoppe
Per B Brockhoff
Lene F Andersen
Inge Tetens
Author Affiliation
Division of Nutrition, National Food Institute, Technical University of Denmark, Mørkhøj Bygade 19, DK-2860 Søborg, Denmark. bewro@food.dtu.dk
Source
Public Health Nutr. 2012 Sep;15(9):1653-60
Date
Sep-2012
Language
English
Publication Type
Article
Keywords
Adolescent
Beverages
Body mass index
Body Weight
Carbohydrates - administration & dosage
Child
Child Nutritional Physiological Phenomena
Child, Preschool
Choice Behavior
Cross-Sectional Studies
Denmark
Diet
Diet Records
Diet Surveys
Dietary Fiber - administration & dosage
Educational Status
Energy intake
Female
Food Habits
Food Preferences
Fruit
Humans
Male
Meals
Motor Activity
Nutrition Assessment
Nutritive Value
Obesity - prevention & control
Overweight - prevention & control
Parents
Regression Analysis
Time Factors
Vegetables
Abstract
To compare differences in children's diet quality on weekdays (Monday-Thursday), Fridays and weekend days.
A representative cross-sectional study in which participants completed a 7 d pre-coded food record. Mean intakes of energy, macronutrients and selected food items (g/10 MJ) as well as energy density were compared between weekdays, Fridays and weekend days for each gender in three age groups (4-6, 7-10 and 11-14 years) using Tobit analysis to account for zero intakes.
The Danish National Survey of Dietary Habits and Physical Activity 2003-2008.
Children (n 784; 49·9 % boys) aged 4-14 years.
For both genders in all age groups (P
PubMed ID
22625874 View in PubMed
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Does the school food environment influence the dietary behaviours of Norwegian 11-year-olds? The HEIA study.

https://arctichealth.org/en/permalink/ahliterature122267
Source
Scand J Public Health. 2012 Jul;40(5):491-7
Publication Type
Article
Date
Jul-2012
Author
Mekdes K Gebremariam
Lene F Andersen
Mona Bjelland
Knut-Inge Klepp
Torunn H Totland
Ingunn H Bergh
Nanna Lien
Author Affiliation
Department of Nutrition, Faculty of Medicine, University of Oslo, Oslo, Norway. mekdes.gebremariam@medisin.uio.no
Source
Scand J Public Health. 2012 Jul;40(5):491-7
Date
Jul-2012
Language
English
Publication Type
Article
Keywords
Child
Diet - psychology - statistics & numerical data
Diet Surveys
Female
Food Services
Humans
Male
Norway
Schools
Social Environment
Abstract
The aim of the study is to investigate the influence of the school food environment on the dietary behaviours of 11-year-old Norwegian children in elementary schools.
Baseline data from a school-based intervention study: the Health In Adolescents study was used. A total of 1425 11-year-old children from 35 schools from the eastern part of Norway were included. School administrators provided information on the physical, political, and sociocultural school food environment and students reported their intake of fruits, vegetables, sugar-sweetened beverages (SSB), and snacks. Multilevel modelling was used to assess the school-level variance in dietary behaviours and to investigate the association of school food environmental factors with these dietary behaviours.
After adjustment for student characteristics, the school level accounted for a small proportion (1.1%-3.0%) of the variance in the dietary behaviours investigated. None of the investigated school food environmental factors were found to be related to the children's reported intake of fruits, vegetables, snacks or SSB.
Most of the variance in the dietary behaviours investigated was at the personal level. Thus in this sample, the investigated school-level factors do not appear to exert a strong influence on the dietary behaviours of children. Longitudinal studies using validated measures of the school food environment are needed.
PubMed ID
22833556 View in PubMed
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Does tracking of dietary behaviours differ by parental education in children during the transition into adolescence?

https://arctichealth.org/en/permalink/ahliterature121842
Source
Public Health Nutr. 2013 Apr;16(4):673-82
Publication Type
Article
Date
Apr-2013
Author
Torunn H Totland
Mekdes K Gebremariam
Nanna Lien
Mona Bjelland
May Grydeland
Ingunn H Bergh
Knut-Inge Klepp
Lene F Andersen
Author Affiliation
Department of Nutrition, University of Oslo, PO Box 1046 Blindern, 0317 Oslo, Norway. t.h.totland@medisin.uio.no
Source
Public Health Nutr. 2013 Apr;16(4):673-82
Date
Apr-2013
Language
English
Publication Type
Article
Keywords
Adolescent
Carbonated Beverages - analysis
Child
Cohort Studies
Diet - statistics & numerical data
Diet Records
Diet Surveys
Dietary Sucrose - administration & dosage
European Continental Ancestry Group
Female
Follow-Up Studies
Food Habits
Fruit
Humans
Internet
Logistic Models
Longitudinal Studies
Male
Norway
Parents - education
Questionnaires
Socioeconomic Factors
Sweetening Agents - administration & dosage
Vegetables
Abstract
The present study investigates the changes and tracking of dietary behaviours in Norwegian 11-year-olds and examines the association between parental education and dietary tracking over a time period of 20 months.
Longitudinal data from the Norwegian HEalth In Adolescents (HEIA) cohort study followed up at three time points (2007-2009).
Intakes of fruits, vegetables and snacks were assessed by frequency and intakes of sugar-sweetened soft drinks and squash were assessed by frequency and amount. Tracking of dietary behaviours was assessed by adolescents' relative position in rank over time and Cohen's kappa was used to measure tracking coefficients. Multinomial logistic regression analyses were performed to assess the association between parental education and the tracking of dietary behaviours.
In total, 885 adolescents from the HEIA cohort study participated by answering Internet-based questionnaires at three time points.
The results indicated that boys and girls maintained their relative position in rank of dietary intake over time, when grouped by baseline consumption. Fair to moderate tracking coefficients of dietary variables were observed. An inverse association was found between parental education and stability of soft drink and squash consumption during the 20 months.
The observed tracking pattern indicates the importance of promoting healthy dietary behaviours at an even earlier age. Furthermore, interventions should focus particularly on adolescents from families with low parental education and their consumption of sugar-sweetened beverages.
PubMed ID
22874120 View in PubMed
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