Search

This study examined the correlates of dietary energy under-reporting (UR) and over-reporting (OV) in European adolescents. Two selfadministered computerised 24-h dietary recalls and physical activity data using accelerometry were collected from 1512 adolescents aged 12-5-17-5 years from eight European countries. Objective measurements of height and weight were obtained. BMI was categorised according to Cole/International Obesity Task Force (IOTF) cut-off points. Diet-related attitudes were assessed via self-administered questionnaires. Reported energy intake (EI) was compared with predicted total energy expenditure to identify UR and OV using individual physical activity objective measures. Associations between misreporting and covariates were examined by multilevel logistic regression analyses. Among all, 33⋅3 % of the adolescents were UR and 15⋅6% were OV when considering mean EI. Overweight (OR 3⋅25; 95% CI 2⋅01, 5⋅27) and obese (OR 4⋅31; 95 % CI 1⋅92, 9⋅65) adolescents had higher odds for UR, whereas underweight individuals were more likely to over-report (OR 1⋅67; 95 % CI 1⋅01, 2⋅76). Being content with their own figures (OR 0⋅61; 95% CI 0⋅41, 0⋅89) decreased the odds for UR, whereas frequently skipping breakfast (OR 2⋅14; 95 % CI 1⋅53, 2⋅99) was linked with higher odds for UR. Those being worried about gaining weight (OR 0⋅55; 95 % CI 0⋅33, 0⋅92) were less likely to OV. Weight status and psychosocial weight-related factors were found to be the major correlates of misreporting. Misreporting may reflect socially desirable answers and low ability to report own dietary intakes, but also may reflect real under-eating in an attempt to lose weight or real over-eating to reflect higher intakes due to growth spurts. Factors influencing misreporting should be identified in youths to clarify or better understand diet-disease associations. [ABSTRACT FROM AUTHOR]

Purpose: This study aims to analyse the association of European adolescents' ready-to-eat-cereal (RTEC) consumption frequency with their dietary intake by applying the concept of diet quality index and nutritional status. Methods: From the multi-centre European HELENA study, relevant data were available in 1,215 adolescents (12.5-17.5 years). RTEC consumption was identified from a food frequency questionnaire. A diet quality index, daily nutrient intakes and daily milk/yoghurt and fruit intake were calculated from two 24-h dietary recalls. BMI, waist and hip circumference and body fat were measured for body composition. Cross-sectional regression analyses were adjusted for sex, age, socio-economic status, city and breakfast skipping. Differences in sub-regions within Europe were explored. Results: RTEC consumers showed a more favourable daily micronutrient intake (vitamin B2, B5, B7, D, calcium, phosphorus and potassium), a better diet quality index, more frequent fruit (57 vs. 51 %) and milk/yoghurt consumption (81.2 vs. 56 %) and less breakfast skipping (25.1 vs. 36.7 %). No differences in energy and macronutrient intake were observed. Daily RTEC consumers were 57 % less likely to be overweight than RTEC non-consumers but did not differ in glucose and lipid status ( N = 387). Conclusion: This is the first comprehensive pan-European survey elucidating socio-demographic determinants of European adolescents' RTEC consumption and indicating better dietary habits in RTEC consumers. The improved dietary profile was reflected in a more beneficial body composition. Our results have also shown the advantage of using an all-integrating diet quality index by capturing the diet complexity. [ABSTRACT FROM AUTHOR]

ABSTRACT BACKGROUND The aim of this study was to examine the moderation effects of sex, age, and psychosocial determinants (intention, social support, and modeling) of physical activity ( PA) in the relationship between an Internet-based computer-tailored intervention program (Activ-O-Meter) and modes of PA and commuting. METHODS The Activ-O-Meter with intervention and control condition was delivered to 555 adolescents (boys 50.5%, mean age: 14.4 years) in 6 European cities. Data on different modes of PA and commuting, sex, age, and psychosocial determinants were collected at baseline and at 3-months follow-up, using questionnaires. The moderation effects of psychosocial determinants, sex, and age on the association between condition and modes of PA and commuting were tested with linear regression. RESULTS Moderation analysis showed that the following increased adolescents' responsiveness to the intervention: male sex, older age, higher baseline intention to increase PA, higher perceived social support or modeling level by siblings, and low perceived social support by friends. CONCLUSIONS These findings should be taken into consideration when planning PA interventions in adolescents. Future intervention studies should also include moderation analysis in order to get a deeper understanding of why interventions are not effective for certain individuals and how this unresponsiveness could be overcome. [ABSTRACT FROM AUTHOR]

Background: Many randomized controlled trials (RCTs) and observational studies have provided information on the association between vitamin B-12 intake and biomarkers. The use of these data to estimate dose-response relations provides a useful means to summarize the body of evidence. Objective: We systematically reviewed studies that investigated vitamin B-12 intake and biomarkers of vitamin B-12 status and estimated dose-response relations with the use of a meta-analysis. Design: This systematic review included all RCTs, prospective cohort studies, nested case-control studies, and cross-sectional studies in healthy adult populations published through January 2010 that supplied or measured dietary vitamin B-12 intake and measured vitamin B-12 status as serum or plasma vitamin B-12, methylmalonic acid (MMA), or holotranscobalamin. We calculated an intake-status regression coefficient (β) for each individual study and calculated the overall pooled/3 and SE (β) by using random-effects meta-analysis on a double-log scale. Results: The meta-analysis of observational studies showed a weaker slope of dose-response relations than the meta-analysis of RCTs. The pooled dose-response relation of all studies between vitamin B-12 intake and status indicated that a doubling of the vitamin B-12 intake increased vitamin B-12 concentrations by 11% (95% CI: 9.4%, 12.5%). This increase was larger for studies in elderly persons (13%) than in studies in adults (8%). The dose-response relation between vitamin B-12 intake and MMA concentrations indicated a decrease in MMA of 7% (95% CI: -10%, -4%) for every doubling of the vitamin B-12 intake. The assessment of risk of bias within individual studies and across studies indicated risk that was unlikely to seriously after these results. Conclusion: The obtained dose-response estimate between vitamin B-12 intake and status provides complementary evidence to underpin recommendations for a vitamin B-12 intake of populations. [ABSTRACT FROM AUTHOR]

Objective: To explore the clustering of different lifestyle behaviors and whether this clustering differs by gender, age, and health-related fitness. Design: Healthy Lifestyle in Europe by Nutrition in Adolescence (HELENA) cross-sectional study. Setting: Ten European cities. Participants: A total of 2,084 adolescents (12.5-17.5 years). Main Outcome Measures: Four lifestyle behaviors were assessed by self-administered questionnaires: moderate to vigorous physical activity, homework time, screen time, and diet. Health-related fitness components (aerobic capacity, strength, speed-agility, and body composition) were assessed. Analysis: Hierarchical method and K-means cluster analysis. Analysis of variance tests. Results: Five clusters were identified: Healthy diet and Active, Healthy diet and Academic, Healthy diet and Inactive, Unhealthy diet and Screen user, and Unhealthy diet and Active. Younger adolescents were more active and followed a healthier diet than older adolescents. Older boys devoted more time to screen use, whereas older girls devoted more time to homework. Boys in the Healthy diet and Active cluster presented higher aerobic capacity and specd-agility, whereas girls presented higher aerobic capacity, strength, and speed-agility. Conclusions and Implications: Clustering of different lifestyle behaviors is observed. Different healthy lifestyles do not always come together and clusters are associated with gender, age, and health-related fitness, but not with body composition. These differences need to be considered when developing intervention strategies for the prevention of unhealthy habits. [ABSTRACT FROM AUTHOR]