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- Bel-Serrat, S, et al.
(author)
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Clustering of multiple lifestyle behaviours and its association to cardiovascular risk factors in children: the IDEFICS study.
- 2013
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In: European journal of clinical nutrition. - : Springer Science and Business Media LLC. - 1476-5640 .- 0954-3007.
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Journal article (peer-reviewed)abstract
- BACKGROUND/OBJECTIVES:Individual lifestyle behaviours have independently been associated with cardiovascular diseases (CVD) risk factors in children. This study aimed to identify clustered lifestyle behaviours (dietary, physical activity (PA) and sedentary indicators) and to examine their association with CVD risk factors in children aged 2-9 years.SUBJECTS/METHODS:Participants included 4619 children (51.6% boys) from eight European countries participating in the IDEFICS cross-sectional baseline survey (2007-2008). Insulin resistance, total cholesterol/high-density lipoprotein cholesterol ratio, triglycerides, sum of two skinfolds and systolic blood pressure (SBP) z-scores were summed to compute a CVD risk score. Cluster analyses stratified by sex and age groups (2 to <6 years; 6-9 years) were performed using parental-reported data on fruit, vegetables and sugar-sweetened beverages (SSB) consumption, PA performance and television video/DVD viewing.RESULTS:Five clusters were identified. Associations between CVD risk factors and score, and clusters were obtained by multiple linear regression using cluster 5 ('low beverages consumption and low sedentary') as the reference cluster. SBP was positively associated with clusters 1 ('physically active'; β=1.34; 95% confidence interval (CI): 0.02, 2.67), 2 ('sedentary'; β=1.84; 95% CI: 0.57, 3.11), 3 ('physically active and sedentary'; β=1.45; 95% CI: 0.15, 2.75) and 4 ('healthy diet'; β=1.83; 95% CI: 0.50, 3.17) in older boys. A positive association was observed between CVD risk score and clusters 2 (β=0.60; 95% CI: 0.20, 1.01), 3 (β=0.55; 95% CI: 0.14, 0.97) and 4 (β=0.60, 95% CI: 0.18, 1.02) in older boys.CONCLUSIONS:Low television/video/DVD viewing levels and low SSB consumption may result in a healthier CVD profile rather than having a diet rich in fruits and vegetables or being physically active in (pre-)school children.European Journal of Clinical Nutrition advance online publication, 1 May 2013; doi:10.1038/ejcn.2013.84.
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| 3. |
- Duffey, Kiyah, et al.
(author)
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Beverage consumption among European adolescents in the HELENA study
- 2012
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In: European Journal of Clinical Nutrition. - : Springer Science and Business Media LLC. - 0954-3007 .- 1476-5640. ; 66:2, s. 244-252
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Journal article (peer-reviewed)abstract
- Background/Objectives: Our objective was to describe the fluid and energy consumption of beverages in a large sample of European adolescents.Subjects/Methods: We used data from 2741 European adolescents residing in 8 countries participating in the Healthy Lifestyle in Europe by Nutrition in Adolescence Cross-Sectional Study (HELENA-CSS). We averaged two 24-h recalls, collected using the HELENA-dietary assessment tool. By gender and age subgroup (12.5–14.9 years and 15–17.5 years), we examined per capita and per consumer fluid (milliliters (ml)) and energy (kilojoules (kJ)) intake from beverages and percentage consuming 10 different beverage groups.Results: Mean beverage consumption was 1611 ml/day in boys and 1316 ml/day in girls. Energy intake from beverages was about 1966 kJ/day and 1289 kJ/day in European boys and girls, respectively, with sugar-sweetened beverages (SSBs) (carbonated and non-carbonated beverages, including soft drinks, fruit drinks and powders/concentrates) contributing to daily energy intake more than other groups of beverages. Boys and older adolescents consumed the most amount of per capita total energy from beverages. Among all age and gender subgroups, SSBs, sweetened milk (including chocolate milk and flavored yogurt drinks all with added sugar), low-fat milk and fruit juice provided the highest amount of per capita energy. Water was consumed by the largest percentage of adolescents followed by SSBs, fruit juice and sweetened milk. Among consumers, water provided the greatest fluid intake and sweetened milk accounted for the largest amount of energy intake followed by SSBs. Patterns of energy intake from each beverage varied between countries.Conclusions: European adolescents consume an average of 1455 ml/day of beverages, with the largest proportion of consumers and the largest fluid amount coming from water. Beverages provide 1609 kJ/day, of which 30.4%, 20.7% and 18.1% comes from SSBs, sweetened milk and fruit juice, respectively.
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| 4. |
- Santaliestra-Pası´as, AM, et al.
(author)
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Increased sedentary behaviour is associated with unhealthy dietary patterns in European adolescents participating in the HELENA study
- 2014
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In: European Journal of Clinical Nutrition. - : Springer Science and Business Media LLC. - 0954-3007 .- 1476-5640. ; 68:3, s. 300-308
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Journal article (peer-reviewed)abstract
- BACKGROUND/OBJECTIVES: To assess dietary patterns (DPs) in European adolescents and to examine their relationship withseveral indicators of sedentary behaviour.SUBJECTS/METHODS: A multinational cross-sectional study was carried out in 2202 adolescents (45.4% boys) aged 12.5–17.5 years. A self-reported questionnaire with information on sedentary behaviours, separately for weekdays and weekend days, and two non-consecutive 24 h-recalls were used. Principal component analysis was used to obtain DPs, and linear regression examined the association between DPs scores and sedentary behaviour.RESULTS: Four DPs for boys (‘plant based’, ‘snacking’, ‘breakfast’ and ‘health conscious’) and five DPs for girls (‘confectionary and snacking’, ‘plant based’, ‘breakfast’, ‘animal protein’ and ‘health conscious’) were obtained. Boys who spent 44 h/day watching television (TV) had lower adherence to the ‘plant based’, ‘breakfast’ and ‘health conscious’ DPs, and higher adherence to the ‘snacking’ DP. Higher computer use and internet use for recreational reason were associated with higher adherence to the ‘snacking’ DP. In girls, TV viewing and using internet for recreational reasons for 44 h/day was associated with higher adherence to the ‘confectionary and snacking’ and lower adherence with ‘health conscious’ DP. Also, studying between 2 and 4 h during weekend days was associated with lower adherence to the ‘snacking’ and with higher adherence to the ‘plant based’ and ‘breakfast’ DPs.CONCLUSION: Adolescents’ DPs are related with the time spent in several sedentary behaviours. Such findings may help to generate interventions focusing on decreasing unhealthy dietary habits and specific sedentary behaviours.
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| 5. |
- Santaliestra-Pasias, A. M., et al.
(author)
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Clustering of lifestyle behaviours and relation to body composition in European children. The IDEFICS study
- 2015
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In: European Journal of Clinical Nutrition. - : Springer Science and Business Media LLC. - 0954-3007 .- 1476-5640. ; 69:7, s. 811-816
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Journal article (peer-reviewed)abstract
- BACKGROUND: Dietary patterns, physical activity (PA) and sedentary behaviours are some of the main behavioural determinants of obesity; their combined influence in children has been addressed in a limited number of studies. SUBJECTS/METHODS: Children (16 228) aged 2-9 years old from eight European countries participated in the baseline survey of the IDEFICS study. A subsample of 11 674 children (50.8% males) were included in the present study. Children's food and beverage consumption (fruit and vegetables (F&V) and sugar-sweetened beverages (SSBs)), PA and sedentary behaviours were assessed via parental questionnaires. Sex-specific cluster analysis was applied to identify behavioural clusters. Analysis of covariance and logistic regression were applied to examine the association between behavioural clusters and body composition indicators (BCIs). RESULTS: Six behavioural clusters were identified (C1-C6) both in boys and girls. In both sexes, clusters characterised by high level of PA (C1 and C3) included a large proportion of older children, whereas clusters characterised by low SSB consumption (C5 and C6) included a large proportion of younger children. Significant associations between derived clusters and BCI were observed only in boys; those boys in the cluster with the highest time spent in sedentary activities and low PA had increased odds of having a body mass index z-score (odds ratio (OR) = 1.33; 95% confidence interval (CI) = (1.01, 1.74)) and a waist circumference z-score (OR = 1.41; 95% CI = (1.06, 1.86)) greater than one. CONCLUSION: Clusters characterised by high sedentary behaviour, low F&V and SSB consumption and low PA turned out to be the most obesogenic factors in this sample of European children.
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| 6. |
- Vandevijvere, S., et al.
(author)
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Intake and dietary sources of haem and non-haem iron among European adolescents and their association with iron status and different lifestyle and socio-economic factors
- 2013
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In: European Journal of Clinical Nutrition. - : Springer Science and Business Media LLC. - 0954-3007 .- 1476-5640. ; 67:7, s. 765-772
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Journal article (peer-reviewed)abstract
- Background/Objectives:Adolescents are at risk of iron deficiency because of their high iron requirements. The aims of this study were: (1) to assess iron intake, its determinants and its most important food sources and; (2) to evaluate the relation of iron intake and status in European adolescents. Subjects/Methods:Two non-consecutive 24-h recalls were completed by a computerised tool. The socio-demographic and socio-economic data were collected by a self-reported questionnaire. Weight and height were measured. A distinction was made between haem and non-haem iron.Results:The total iron intake was significantly higher among boys (13.8 mg/day; n=1077) than girls (11.0 mg/day; n=1253). About 97.3% of the boys and 87.8% of the girls met the estimated average requirement, and 72.4% of the boys and 13.7% of the girls met the recommendation for bio-available iron intake. The ratio of haem/non-haem iron intake was lower for girls than boys. Meat (19.2; 76%) and bread and rolls (12.6;3.9%) contributed most to total and haem iron intake. Bread and rolls (13.8%) and meat (10.8%) contributed most to non-haem iron intake. Age, sex and body mass index were associated with iron intake. Only red blood cell concentration was significantly negatively associated with total, haem and non-haem iron intake.Conclusion:Girls had lower iron intakes and ratio of haem/non-haem iron intake than boys. The main total iron and haem iron source was meat, while the main non-haem iron source was bread and rolls. Adolescent girls may be a group at risk for iron deficiency. Consequently, special attention and strategies are needed in order to improve iron intakes during adolescence.
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