Hostname: page-component-7c8c6479df-p566r Total loading time: 0 Render date: 2024-03-28T13:02:00.240Z Has data issue: false hasContentIssue false

Breakfast consumption and CVD risk factors in European adolescents: the HELENA (Healthy Lifestyle in Europe by Nutrition in Adolescence) Study

Published online by Cambridge University Press:  12 April 2012

Lena Hallström*
Affiliation:
School of Health, Care and Social Welfare, Box 883, Mälardalens University, 72123 Västerås, Sweden Unit for Preventive Nutrition, Department of Biosciences and Nutrition, Karolinska Institute, Huddinge, Sweden
Idoia Labayen
Affiliation:
Unit for Preventive Nutrition, Department of Biosciences and Nutrition, Karolinska Institute, Huddinge, Sweden Department of Nutrition and Food Science, University of the Basque Country, Vitoria, Spain
Jonatan R Ruiz
Affiliation:
Unit for Preventive Nutrition, Department of Biosciences and Nutrition, Karolinska Institute, Huddinge, Sweden
Emma Patterson
Affiliation:
Unit for Preventive Nutrition, Department of Biosciences and Nutrition, Karolinska Institute, Huddinge, Sweden
Carine A Vereecken
Affiliation:
Research Foundation – Flanders, Brussels, Belgium Department of Public Health, Ghent University, Ghent, Belgium
Christina Breidenassel
Affiliation:
Institut für Ernährungs- und Lebensmittelwissenschaften-Humanernährung, Rheinische Friedrich-Wilhelms Universität, Bonn, Germany
Frédéric Gottrand
Affiliation:
Faculté de Médecine, Université de Lille 2, Lille, France
Inge Huybrechts
Affiliation:
Department of Public Health, Ghent University, Ghent, Belgium
Yannis Manios
Affiliation:
Department of Nutrition and Dietetics, Harokopio University, Athens, Greece
Lorenza Mistura
Affiliation:
National Research Institute on Food and Nutrition, Rome, Italy
Kurt Widhalm
Affiliation:
Division of Clinical Nutrition and Prevention, Department of Pediatrics, Medical University of Vienna, Vienna, Austria
Katerina Kondaki
Affiliation:
Department of Nutrition and Dietetics, Harokopio University, Athens, Greece
Luis A Moreno
Affiliation:
Escuela Universitaria de Ciencias de la Salud, Universidad de Zaragoza, Zaragoza, Spain
Michael Sjöström
Affiliation:
Unit for Preventive Nutrition, Department of Biosciences and Nutrition, Karolinska Institute, Huddinge, Sweden
*
*Corresponding author: Email lena.hallstrom@mdh.se
Rights & Permissions [Opens in a new window]

Abstract

Objective

To examine the association between breakfast consumption and CVD risk factors in European adolescents.

Design

Cross-sectional. Breakfast consumption was assessed by the statement ‘I often skip breakfast’ and categorized into ‘consumer’, ‘occasional consumer’ and ‘skipper’. Blood pressure, weight, height, waist circumference, skinfold thickness, total cholesterol (TC), HDL cholesterol (HDL-C), LDL cholesterol (LDL-C), TAG, insulin and glucose were measured and BMI, TC:HDL-C, LDL-C:HDL-C and homeostasis model assessment–insulin resistance index (HOMA-IR) were calculated.

Setting

The European Union-funded HELENA (Healthy Lifestyle in Europe by Nutrition in Adolescence) Study.

Subjects

European adolescents, aged 12·50–17·49 years, from ten cities within the HELENA study (n 2929, n 925 with blood sample, 53 % females).

Results

In males, significant differences across breakfast consumption category (‘consumer’, ‘occasional consumer’ and ‘skipper’) were seen for age, BMI, skinfold thickness, waist circumference, cardiorespiratory fitness, systolic and diastolic blood pressures, TC:HDL-C, LDL-C:HDL-C, glucose, insulin, HOMA-IR and LDL-C; in females, for cardiorespiratory fitness, skinfold thickness, BMI, insulin and HOMA-IR. In overweight/obese males significant differences were also seen for TC and LDL-C, whereas no differences were observed in non-overweight males or in females regardless of weight status.

Conclusions

Our findings among European adolescents confirm previous data indicating that adolescents who regularly consume breakfast have lower body fat content. The results also show that regular breakfast consumption is associated with higher cardiorespiratory fitness in adolescents, and with a healthier cardiovascular profile, especially in males. Eating breakfast regularly may also negate somewhat the effect of excess adiposity on TC and LDL-C, especially in male adolescents.

Type
Nutrition and health
Copyright
Copyright © The Authors 2012 

The prevalence of overweight and obesity in adolescence has increased dramatically in developed countries over the past two decades(1). In addition to genetic and environmental factors, the breakfast meal and the frequency with which it is consumed may influence appetite, dietary intake and composition. These mechanisms may have important implications for body weight regulation. Indeed, several studies have shown a positive association between breakfast skipping and overweight/obesity in adolescents(Reference Dubois, Girard and Potvin Kent2Reference Merten, Williams and Shriver5).

Breakfast is commonly considered a key component of a healthy diet contributing to whole-diet nutrient adequacy(Reference Matthys, De Henauw and Bellemans6, Reference Williams, O'Neil and Keast7). Adolescents who rarely have breakfast are more likely to smoke, drink alcohol and are less likely to exercise than regular breakfast consumers(Reference Keski-Rahkonen, Kaprio and Rissanen8). Breakfast consumption may reduce the risk of chronic diseases due to its potential impact on overall diet quality(Reference Matthys, De Henauw and Bellemans6, Reference Serra-Majem, Ribas and Perez-Rodrigo9Reference Viteri and Gonzalez11). Although breakfast is widely promoted as essential for the nutritional well-being of young people, breakfast skipping is relatively common among adolescents in Western countries(Reference Rampersaud, Pereira and Girard3, Reference Alexy, Wicher and Kersting12).

Overweight and obesity in childhood are associated with CVD risk factors (adverse levels of lipids, insulin and blood pressure)(Reference Dietz13Reference Raitakari, Porkka and Viikari15). CVD events occur more frequently during or after the fifth decade of life; however, there is evidence indicating that the precursors of CVD have their origin in early childhood(Reference Freedman, Dietz and Srinivasan16). Adverse CVD risk factors during childhood have been shown to track later into adulthood(Reference Chen, Srinivasan and Li17, Reference Chen and Wang18). We hypothesized that if breakfast can be considered a marker of a healthy lifestyle in young people, adolescents who regularly consume breakfast should also have a healthier cardiovascular profile than their peers who skip breakfast.

The purpose of the present study was to examine the association between different patterns of breakfast consumption (skipping, occasional consumption and regular consumption) and CVD risk factors, including BMI, skinfold thickness, waist circumference, cardiorespiratory fitness, blood pressure, blood lipids and insulin resistance, in European adolescents from nine different countries. We also studied the interaction between breakfast consumption and weight status on CVD risk factors.

Methods

Study design and sampling

Adolescents were part of the HELENA (Healthy Lifestyle in Europe by Nutrition in Adolescence) Study(Reference Moreno, De Henauw and Gonzalez-Gross19). HELENA is a multi-centre, cross-sectional study performed in ten European cities (Athens and Heraklion in Greece; Dortmund in Germany; Ghent in Belgium; Lille in France; Pecs in Hungary; Rome in Italy; Stockholm in Sweden; Vienna in Austria; Zaragoza in Spain) that was designed to obtain reliable and comparable data on nutrition- and health-related parameters of a sample of European adolescents(Reference Moreno, De Henauw and Gonzalez-Gross19).

A total of 3528 (52 % females) adolescents, aged 12·50–17·49 years (mean 14·7 (sd) 1·2 years), were recruited between October 2006 and December 2007. Adolescents were randomly selected from schools using proportional cluster sampling taking into account the geographical distribution in each city, the ratio of private to public schools and the number of classes per school. One-third of the classes were randomly selected for blood collection, resulting in a total of 1089 (53 % females) blood samples for the subsequent clinical biochemistry assays. Eighty-three per cent of the total sample (n 3528) responded to a question concerning breakfast consumption, resulting in a final sample of 2929 adolescents (53 % females), for whom blood analyses were available for 925 (53 % females). The response frequencies to the breakfast question differed between centres, ranging from 60 % (in Pecs) to 98 % (in Lille and Vienna). Age and BMI were similar between responders and non-responders to the breakfast question (P > 0·1).

After receiving complete information about the aims and methods of the study, all adolescents and their parents or guardians signed an informed written consent. All participants met the general HELENA inclusion criteria: they were not participating simultaneously in another clinical trial and had not had an acute infection less than 1 week before the study(Reference Moreno, De Henauw and Gonzalez-Gross19). The study was performed following the ethical guidelines of the Declaration of Helsinki 1961 (revision of Edinburgh 2000), Good Clinical Practice and the legislation concerning clinical research in human subjects in each of the participating countries. The protocol was approved by the corresponding local Human Research Review Committees of the centres involved(Reference Moreno, De Henauw and Gonzalez-Gross19, Reference Beghin, Castera and Manios20).

Breakfast assessment

Adolescents reported their breakfast habits by responding to the following statement: ‘I often skip breakfast’. There were seven possible answers ranging from strongly disagree (1) to strongly agree (7). Adolescents were categorized into three groups: (i) ‘consumers’ (answered ‘1’ or ‘2’); (ii) ‘occasional consumers’ (answered ‘3’, ‘4’ or ‘5’); and (iii) ‘skippers’ (answered ‘6’ or ‘7’). The term ‘breakfast’ was left open to interpretation by the adolescents themselves.

Physical examination

Weight and height were measured following standard procedures(Reference Nagy, Vicente-Rodriguez and Manios21), and BMI (kg/m2) was calculated as body mass (in kilograms) divided by the square of height (in metres). Adolescents were classified according to the international BMI cut-off values as non-overweight or overweight/obese(Reference Cole, Bellizzi and Flegal22). Waist circumference was used as a surrogate of central body fat, and was measured to the nearest 0·1 cm in triplicate at the midpoint between the superior iliac spine and the costal edge in the midaxillary line with an anthropometric non-elastic tape (Seca 200; Belgium). Skinfold thickness was measured to the nearest 0·2 mm in triplicate on the left side at the following sites: biceps, triceps, subscapular, suprailiac, thigh and medial calf, with a Holtain calliper (Crymych, UK)(Reference Nagy, Vicente-Rodriguez and Manios21). The same trained investigators made all measurements and the inter-rater reliability was greater than 95 %.

Assessment of pubertal status

Overweight/obese adolescents tend to mature earlier than non-overweight(Reference Garn and Clark23). Pubertal stage was therefore recorded and adjusted for in the analysis. A trained researcher of the same sex as the child assessed the developmental stage according to the scale proposed by Tanner and Whitehouse(Reference Tanner and Whitehouse24), as described elsewhere(Reference Iliescu, Beghin and Maes25).

Cardiorespiratory fitness

Cardiorespiratory fitness was assessed by means of the 20 m shuttle run test(Reference Leger, Mercier and Gadoury26). Participants were required to run between two lines 20 m apart, while keeping pace with audio signals emitted from a pre-recorded compact disk. The initial speed was 8·5 km/h, which was increased by 0·5 km/h each minute (1 min equals one stage). All measurements were carried out under standardized conditions in an indoor gymnasium, during ordinary classes in physical education and simultaneously by ten to twenty adolescents. The participants were encouraged to keep running as long as possible. The last completed stage or half-stage at which the participant dropped out was scored. Cardiorespiratory fitness (i.e. VO2max in ml/kg per min) was estimated from the last half-stage completed, sex, age, weight and height(Reference Ruiz, Ramirez-Lechuga and Ortega27). All participants received comprehensive instructions about the test. This test has shown to be valid(Reference Castro-Piñero, Artero and España-Romero28), reliable(Reference Ortega, Artero and Ruiz29) and feasible for use in population-based studies and in the school setting(Reference Ruiz, Ortega and Gutierrez30).

Physical activity

We measured physical activity with accelerometry over 7 d (Actigraph™ GT1M; Pensacola, FL, USA) and expressed it as total counts/min(Reference Ruiz, Ortega and Martinez-Gomez31).

Blood pressure

Blood pressure was measured (in the morning) with an automatic oscillometric device (OMRON M6; Omron Healthcare Europe). The adolescent first sat quietly for 5 min, with his/her back supported, feet on the floor and right arm supported with the cubital fossa at heart level. Two recordings of systolic and diastolic measurements (in mmHg), 5 min apart, were made and the lowest value of the two recordings was retained(Reference Iliescu, Beghin and Maes25).

Blood analysis

A detailed description of blood sampling and procedures has been published elsewhere(Reference Gonzalez-Gross, Breidenassel and Gomez-Martinez32). Blood samples were drawn after an overnight fast of 10 h. Serum TAG, total cholesterol (TC), HDL cholesterol (HDL-C), LDL cholesterol (LDL-C) and glucose were measured, in single, on the Dimension RxL clinical chemistry system (Dade Behring, Schwalbach, Germany) with enzymatic methods following the manufacturer's reagents and instructions. The intra- and inter-assay CV for all parameters was <4 %. Insulin concentrations were measured by a solid-phase two-site chemiluminescent immunometric assay with an Immulite 2000 analyser (DPC Biermann GmbH, Bad Nauheim, Germany) using the manufacturer's reagents and instructions. The sensitivity of the insulin assay was 2 mU/l. The inter-assay CV was 5·2 %. The homeostasis model assessment–insulin resistance index (HOMA-IR) was calculated as [fasting insulin (mU/l) × fasting glucose (mg/dl)×0·0555]/22·5(Reference Wallace, Levy and Matthews33). Five adolescents with an insulin value >70 mU/l were excluded from the analysis of insulin and HOMA-IR.

Sociodemographic status

Parents’ education level was assessed via questionnaire by the adolescent and was categorized as elementary, lower secondary, higher secondary and university level education. We obtained information about family structure through the aforementioned questionnaire. Family structure was defined as ‘traditional family’ when the adolescent was living at home with two parents (parents and/or step-parents) or ‘single/shared-care’ when the adolescent was living in a single-parent family or had ‘shared care’ between parents. Those living in other family structures (e.g. in a foster home or with grandparents) were categorized into the ‘single/shared-care’ family structure.

Statistical analysis

Associations between sex and breakfast consumption categories (consumer, occasional consumer and skipper) were assessed by the χ 2 test. We compared mean levels of CVD risk factors across breakfast consumption categories using one-way analysis of covariance with breakfast consumption category as the fixed factor, CVD risk factors as dependent variables and age, centre (random variable), mother's and father's education and family structure entered as covariates. Analyses including waist circumference were additionally adjusted for height. All analyses were performed in males and females separately. Variables with skewed distribution (i.e. the sum of six skinfolds, VO2max, TAG, TC:HDL-C and HOMA-IR) were logarithmically transformed to obtain a more symmetric distribution.

To study the interaction between breakfast consumption and weight status (i.e. non-overweight and overweight/obese) on CVD risk factors, we performed a two-way analysis of covariance (with breakfast consumption and weight status as fixed factors) adjusting for the covariates mentioned above. A possible breakfast consumption/weight status interaction effect on CVD risk factors was studied by inserting the product term (breakfast consumption ×weight status) into the model. All analyses were performed using the SPSS for Windows statistical software package version 16·0 (SPSS Inc., Chicago, IL, USA), and the level of significance was set at 5 %.

Results

The percentage of breakfast consumers was significantly higher in males than in females, in both the total study sample as well as in the subgroup with blood analysis (Table 1, P < 0·001). In the whole study sample, the percentage of breakfast consumers was significantly higher in females from northern/central Europe than in females from southern Europe (Table 2, P < 0·01). In contrast, among males from northern/central Europe the percentage of breakfast skippers was significantly higher compared with those from southern Europe (Table 2, P < 0·001). No regional differences were seen in the percentage of breakfast consumers/skippers among the subgroup of adolescents with blood analysis. No association was observed between sex and either maternal/paternal education level or family structure (Table 1). Table 3 shows the mean age and values of the studied CVD risk factors by breakfast consumption category and sex. In males, significant differences across breakfast consumption category were seen for age, BMI, skinfold thickness, waist circumference, systolic and diastolic blood pressures (all P < 0·001), as well as for TC:HDL-C, LDL-C:HDL-C, glucose, insulin and HOMA-IR (all P < 0·01) and LDL-C (P < 0·05). No association was observed between breakfast and TAG, TC or HDL-C (Table 3). In females, significant differences across breakfast consumption category were seen for skinfold thickness (P < 0·01) BMI, insulin and HOMA-IR (all P < 0·05), whereas no association was observed between breakfast consumption category and age or the other studied CVD risk factors. Cardiorespiratory fitness differed significantly by breakfast consumption category in both males and females (both P < 0·001).

Table 1 Breakfast consumption, weight status, mother's/father's education level and family structure by sex: adolescents (n 2929), aged 12–17 years, from ten European cities participating in the HELENA (Healthy Lifestyle in Europe by Nutrition in Adolescence) Study

*Sub-sample with blood analysis.

P value from χ 2 test; P < 0·05 indicates statistical significance.

Table 2 Breakfast consumption by sex and European region: adolescents (n 2929), aged 12–17 years, from ten European cities participating in the HELENA (Healthy Lifestyle in Europe by Nutrition in Adolescence) Study

*Sub-sample with blood analysis.

P value from χ 2 test; P < 0·05 indicates statistical significance.

Table 3 CVD risk factors by breakfast consumption and sex: adolescents (n 2929), aged 12–17 years, from ten European cities participating in the HELENA (Healthy Lifestyle in Europe by Nutrition in Adolescence) Study

WC, waist circumference; VO2max, cardiorespiratory fitness; SBP, systolic blood pressure; DBP, diastolic blood pressure; TC, total cholesterol; HDL-C, HDL cholesterol; LDL-C, LDL cholesterol; HOMA-IR, homeostasis model assessment–insulin resistance index.

All analyses were adjusted for centre (random variable), age, mother's education, father's education and family structure.

*P value from one-way analysis of covariance; P < 0·05 indicates statistical significance.

†Analysis was performed on log-transformed data, but non-transformed data are presented as mean and se.

Interactions between breakfast consumption categories and weight status

Table 4 presents the means of the CVD risk factors by breakfast consumption category, sex and weight status. In male adolescents, an interaction effect on TC and LDL-C was observed between breakfast consumption and weight status. Males who were breakfast consumers and overweight/obese had lower TC and LDL-C compared with the skipper group (P < 0·001), whereas no association was observed in the non-overweight group. In females, an interaction between breakfast consumption and weight status was observed for glucose. These results persisted after excluding the underweight adolescents from the analysis (data not shown) and when the analyses were additionally adjusted for pubertal status (data not shown). The analyses were repeated after further adjusting for objectively measured physical activity, and the results did not change (data not shown).

Table 4 CVD risk factors by breakfast consumption, sex and weight status: adolescents (n 2929), aged 12–17 years, from ten European cities participating in the HELENA (Healthy Lifestyle in Europe by Nutrition in Adolescence) Study

VO2max, cardiorespiratory fitness; SBP, systolic blood pressure; DBP, diastolic blood pressure; TC, total cholesterol; HDL-C, HDL cholesterol; LDL-C, LDL cholesterol; HOMA-IR, homeostasis model assessment–insulin resistance index.

All analyses were adjusted for centre (random variable), age, mother's education, father's education and family structure.

*Main effect of weight status by two-way analysis of covariance (ANCOVA); P < 0·05 indicates statistical significance.

†Main effect of breakfast consumption by two-way ANCOVA; P < 0·05 indicates statistical significance.

‡Interaction effect between breakfast consumption and weight status by two-way ANCOVA; P < 0·05 indicates statistical significance.

§Analysis was performed on log-transformed data, but non-transformed data are presented as mean and se.

Discussion

The present study, conducted in a relatively large sample of adolescents from nine different European countries, confirmed previous data indicating that adolescents who regularly consume breakfast have lower body fat content. The results also showed that regular breakfast consumption is associated with higher cardiorespiratory fitness in both males and females, and with a healthier cardiovascular profile, especially in males.

The frequency of regular breakfast consumption in our study sample was similar to that reported in other Western populations(Reference Rampersaud, Pereira and Girard3, Reference Szajewska and Ruszczynski4). Our study showed that more males than females reported to be regular breakfast consumers. We also observed that older male adolescents were more likely to be breakfast skippers than younger male adolescents. Previous studies from large epidemiological and cross-sectional surveys have observed marked declines in the frequency of breakfast consumption from childhood to adolescence(Reference Alexy, Wicher and Kersting12, Reference Albertson, Anderson and Crockett34, Reference Timlin, Pereira and Story35).

In the present study, regular breakfast consumers had lower total adiposity (estimated by BMI or skinfold thickness). Two systematic reviews have examined the association between breakfast consumption and body weight(Reference Rampersaud, Pereira and Girard3, Reference Szajewska and Ruszczynski4). Rampersaud et al. concluded that although breakfast eaters consumed more energy daily, they were less likely to be obese; yet they noted that not all studies reported significant relationships between breakfast skipping and overweight/obesity(Reference Rampersaud, Pereira and Girard3). In a recent review Szajewska and Ruszczynski concluded that in European children and adolescents consuming breakfast is associated with a lower BMI and with a reduced risk of becoming overweight or obese(Reference Szajewska and Ruszczynski4), which concurs with our results. Our results showed differences in breakfast consumption, according to sex, between the two regions of Europe (southern v. northern/central). To the best of our knowledge, there are no studies investigating differences in breakfast consumption among adolescents from southern and northern/central Europe. Vereecken et al. have shown differences among countries in Europe: in the southern region daily breakfast consumption ranges from 33 % (Greek girls) to 72 % (Spanish boys) and in the northern/central region it ranges from 42 % (Hungarian girls) to 73 % (Swedish boys)(Reference Vereecken, Dupuy and Rasmussen36). Further research is needed on a regional and/or national level to better understand the breakfast consumption among adolescents living in different parts of Europe.

Breakfast is, for adolescents, one of the most important meals of the day and its consumption is associated with favourable diet quality (i.e. favourable nutrient and energy intakes) and improved food choice(Reference Matthys, De Henauw and Bellemans6) and exercise patterns(Reference Keski-Rahkonen, Kaprio and Rissanen8). Thus, skipping breakfast has been proposed to influence weight status indirectly by leading to hunger in the morning and resulting in increased snacking and consumption of empty calories(Reference Matthys, De Henauw and Bellemans6). On the other hand, it could be the food and nutrient content of breakfast itself that influences body weight(Reference Albertson, Anderson and Crockett34, Reference Deshmukh-Taskar, Nicklas and O'Neil37, Reference Gibson and O'Sullivan38). Indeed, several studies have shown that the consumption of high-fibre or wholegrain cereals at breakfast is associated with lower BMI(Reference Albertson, Anderson and Crockett34, Reference Barton, Eldridge and Thompson39, Reference Cho, Dietrich and Brown40).

We observed that regular breakfast consumption was associated with higher cardiorespiratory fitness in both males and females. These findings confirm the results of a recent report conducted in large sample of schoolchildren(Reference Sandercock, Voss and Dye41). Our study showed that boys and girls who never ate breakfast had lower mean cardiorespiratory fitness. A possible link between breakfast consumption and fitness could be due to a clustering of healthy behaviours(Reference Keski-Rahkonen, Kaprio and Rissanen8, Reference Aarnio, Winter and Kujala42, Reference Cohen, Evers and Manske43). Breakfast consumers seem to have a more active lifestyle than breakfast skippers(Reference Corder, van Sluijs and Steele44). In a previous study(Reference Keski-Rahkonen, Kaprio and Rissanen8), the authors showed that breakfast skippers were much more likely to exercise infrequently than regular breakfast consumers.

Regular breakfast consumption was associated with a healthier cardiovascular profile (i.e. waist circumference, blood pressure, TC:HDL-C, LDL-C:HDL-C and insulin resistance) in male adolescents in the present study. Waist circumference is a surrogate measure of abdominal adiposity and is considered an important contributor to metabolic complications in children and adolescents(Reference Li, Ford and Mokdad45). Studies investigating the relationship between breakfast consumption and body fat distribution in adolescents are scarce. Deshmukh-Taskar et al. showed that mean waist circumference was higher in breakfast skippers(Reference Deshmukh-Taskar, Nicklas and O'Neil37), which concurs with our results. Moreover, a previous study conducted in a well-characterized sample of ninety-three overweight youths (aged 10–17 years) reported that eating breakfast was associated with lower visceral adiposity as measured by dual-energy X-ray absorptiometry(Reference Alexander, Ventura and Spruijt-Metz46).

Male breakfast consumers in the present study had lower systolic and diastolic blood pressures regardless of BMI, whereas no association was found in females. Youths who usually consume breakfast are more likely to be frequent consumers of fruit, cereals and milk(Reference Utter, Scragg and Mhurchu47), which, in turn, are central foods in the recommended dietary pattern for lowering blood pressure(Reference Champagne48, Reference Mitka49). Therefore, the intake of milk products during breakfast supports total daily intakes of milk and Ca(Reference Matthys, De Henauw and Bellemans6, Reference van den Boom, Serra-Majem and Ribas10, Reference Ortega, Requejo and Lopez-Sobaler50), which have been associated with a lower risk of hypertension in adults(Reference Hajjar, Grim and Kotchen51). In agreement with our findings, a sex-specific association (observed in males only) between breakfast and blood pressure was reported in a previous study performed in Greek adolescents(Reference Kollias, Antonodimitrakis and Grammatikos52).

We did not find any significant effect of breakfast consumption on most of the CVD risk factors, such as blood lipid levels, blood pressure or insulin resistance, in females. Regular breakfast consumption was significantly related to a healthier blood lipid profile in males. Breakfast consumers had lower TC, LDL-C and lower TC:HDL-C and LDL-C:HDL-C ratios. Moreover, our results suggested that consuming breakfast regularly may influence the negative effects of being overweight in males. To our knowledge, there are no previous studies examining the relationship between breakfast consumption and blood metabolic variables. Albertson et al. examined possible sex-related differences in the association between the consumption of ready-to-eat cereals at breakfast and cardiovascular health indicators, showing that ready-to-eat cereals were significantly associated with lower blood lipid levels only in males(Reference Albertson, Anderson and Crockett34). Other studies have also documented a lack of significant associations between food group consumption and cholesterol among females, suggesting a complex association between dietary patterns, blood lipids and sex.

The use of the self-reported statement ‘I often skip breakfast’ to gauge habitual breakfast consumption could be a limitation of our study. The term ‘breakfast consumers’ in the literature includes a variety of definitions, such as consuming breakfast every day, every week day, on the dietary survey day, or usual or habitual consumption(Reference Rampersaud, Pereira and Girard3), which makes comparisons difficult. In addition, there is no consensus regarding how to define breakfast consumption. A recent study found that the percentage of breakfast skippers varied greatly according to how breakfast was categorized(Reference Dialektakou and Vranas53). Furthermore, because of the cross-sectional nature of the study design, no conclusion can be drawn about the directionality and causality of the associations seen between breakfast consumption and CVD risk factors. The large sample of adolescents in the study population and the standardized and harmonized methodology are notable strengths of the present study. In addition, previous studies have predominantly used BMI as a measure of body composition. Recent systematic reviews indicated that skinfold thicknesses and waist circumference are valid makers of total and central fatness in young people(Reference Castro-Piñero, Artero and España-Romero28) and are strong predictors of future health status(Reference Ruiz, Castro-Piñero and Artero54). The inclusion of these two surrogates of fatness, and the consistency of the results observed, strengthen our study's conclusions.

Conclusions

Our findings in European adolescents confirm previous data indicating that those who regularly consume breakfast have lower body fat. The results also indicate that regular breakfast consumption is associated with higher cardiorespiratory fitness in both males and females, and with a healthier cardiovascular profile, especially in males. Eating breakfast regularly may also negate somewhat the effect of excess adiposity on TC and LDL-C in male adolescents.

Acknowledgements

The study took place with financial support of the European Community Sixth RTD Framework Programme (Contract FOOD-CT-2005-007034), the Swedish Council for Working Life and Social Research (FAS), the Swedish Heart-Lung Foundation (20090635) and the Spanish Ministry of Health: Maternal, Child Health and Development Network (number RG08/0072). The content of this article reflects the authors’ views only and the European Community is not liable for any use that may be made of the information contained herein. None of the authors had a personal or financial conflict of interest. The writing group takes sole responsibility for the content of this article. L.H., I.L. and J.R.R. wrote the manuscript and performed the statistical analysis; L.H., I.L., J.R.R., E.P., C.A.V., C.B., F.G., I.H., Y.M., L.M., K.W., L.A.M. and M.S. contributed to the interpretation and discussion of the results and critically revised the drafted manuscript. The authors thank all the adolescents who took part in the HELENA Study.

References

1.European Association for the Study of Obesity (2010) Childhood Obesity Task Force: Facts and Statistics. London: EASO; available at http://www.easoobesity.org/task_forces/childhood_facts_statistics.htmGoogle Scholar
2.Dubois, L, Girard, M, Potvin Kent, Met al. (2009) Breakfast skipping is associated with differences in meal patterns, macronutrient intakes and overweight among pre-school children. Public Health Nutr 12, 1928.CrossRefGoogle ScholarPubMed
3.Rampersaud, GC, Pereira, MA, Girard, BLet al. (2005) Breakfast habits, nutritional status, body weight, and academic performance in children and adolescents. J Am Diet Assoc 105, 743760.CrossRefGoogle ScholarPubMed
4.Szajewska, H & Ruszczynski, M (2010) Systematic review demonstrating that breakfast consumption influences body weight outcomes in children and adolescents in Europe. Crit Rev Food Sci Nutr 50, 113119.CrossRefGoogle ScholarPubMed
5.Merten, MJ, Williams, AL & Shriver, LH (2009) Breakfast consumption in adolescence and young adulthood: parental presence, community context, and obesity. J Am Diet Assoc 109, 13841391.CrossRefGoogle Scholar
6.Matthys, C, De Henauw, S, Bellemans, Met al. (2007) Breakfast habits affect overall nutrient profiles in adolescents. Public Health Nutr 10, 413421.CrossRefGoogle ScholarPubMed
7.Williams, BM, O'Neil, CE, Keast, DRet al. (2009) Are breakfast consumption patterns associated with weight status and nutrient adequacy in African-American children? Public Health Nutr 12, 489496.CrossRefGoogle ScholarPubMed
8.Keski-Rahkonen, A, Kaprio, J, Rissanen, Aet al. (2003) Breakfast skipping and health-compromising behaviors in adolescents and adults. Eur J Clin Nutr 57, 842853.CrossRefGoogle ScholarPubMed
9.Serra-Majem, L, Ribas, L, Perez-Rodrigo, Cet al. (2002) Determinants of nutrient intake among children and adolescents: results from the enKid Study. Ann Nutr Metab 46, Suppl. 1, 3138.CrossRefGoogle ScholarPubMed
10.van den Boom, A, Serra-Majem, L, Ribas, Let al. (2006) The contribution of ready-to-eat cereals to daily nutrient intake and breakfast quality in a Mediterranean setting. J Am Coll Nutr 25, 135143.CrossRefGoogle Scholar
11.Viteri, FE & Gonzalez, H (2002) Adverse outcomes of poor micronutrient status in childhood and adolescence. Nutr Rev 60, 5 Pt 2, S77S83.CrossRefGoogle ScholarPubMed
12.Alexy, U, Wicher, M & Kersting, M (2010) Breakfast trends in children and adolescents: frequency and quality. Public Health Nutr 13, 17951802.CrossRefGoogle ScholarPubMed
13.Dietz, WH (1998) Health consequences of obesity in youth: childhood predictors of adult disease. Pediatrics 101, 518525.CrossRefGoogle ScholarPubMed
14.Berenson, GS, Srinivasan, SR, Wattigney, WAet al. (1993) Obesity and cardiovascular risk in children. Ann N Y Acad Sci 699, 93103.CrossRefGoogle ScholarPubMed
15.Raitakari, OT, Porkka, KV, Viikari, JSet al. (1994) Clustering of risk factors for coronary heart disease in children and adolescents. The Cardiovascular Risk in Young Finns Study. Acta Paediatr 83, 935940.CrossRefGoogle ScholarPubMed
16.Freedman, DS, Dietz, WH, Srinivasan, SRet al. (1999) The relation of overweight to cardiovascular risk factors among children and adolescents: the Bogalusa Heart Study. Pediatrics 103, 11751182.CrossRefGoogle ScholarPubMed
17.Chen, W, Srinivasan, SR, Li, Set al. (2005) Metabolic syndrome variables at low levels in childhood are beneficially associated with adulthood cardiovascular risk: the Bogalusa Heart Study. Diabetes Care 28, 126131.CrossRefGoogle ScholarPubMed
18.Chen, X & Wang, Y (2008) Tracking of blood pressure from childhood to adulthood: a systematic review and meta-regression analysis. Circulation 117, 31713180.CrossRefGoogle ScholarPubMed
19.Moreno, LA, De Henauw, S, Gonzalez-Gross, Met al. (2008) Design and implementation of the Healthy Lifestyle in Europe by Nutrition in Adolescence Cross-Sectional Study. Int J Obes (Lond) 32, Suppl. 5, S4S11.CrossRefGoogle ScholarPubMed
20.Beghin, L, Castera, M, Manios, Yet al. (2008) Quality assurance of ethical issues and regulatory aspects relating to good clinical practices in the HELENA Cross-Sectional Study. Int J Obes (Lond) 32, Suppl. 5, S12S18.CrossRefGoogle ScholarPubMed
21.Nagy, E, Vicente-Rodriguez, G, Manios, Yet al. (2008) Harmonization process and reliability assessment of anthropometric measurements in a multicenter study in adolescents. Int J Obes (Lond) 32, Suppl. 5, S58S65.CrossRefGoogle Scholar
22.Cole, TJ, Bellizzi, MC, Flegal, KMet al. (2000) Establishing a standard definition for child overweight and obesity worldwide: international survey. Br Med J 320, 12401243.CrossRefGoogle ScholarPubMed
23.Garn, SM & Clark, DC (1975) Nutrition, growth, development, and maturation: findings from the ten-state nutrition survey of 1968–1970. Pediatrics 56, 306319.CrossRefGoogle ScholarPubMed
24.Tanner, JM & Whitehouse, RH (1962) Standards for subcutaneous fat in British children. Percentiles for thickness of skinfolds over triceps and below scapula. Br Med J 1, 446450.CrossRefGoogle ScholarPubMed
25.Iliescu, C, Beghin, L, Maes, Let al. (2008) Socioeconomic questionnaire and clinical assessment in the HELENA Cross-Sectional Study: methodology. Int J Obes (Lond) 32, Suppl. 5, S19S25.CrossRefGoogle ScholarPubMed
26.Leger, LA, Mercier, D, Gadoury, Cet al. (1988) The multistage 20 metre shuttle run test for aerobic fitness. J Sports Sci 6, 93101.CrossRefGoogle ScholarPubMed
27.Ruiz, JR, Ramirez-Lechuga, J, Ortega, FBet al. (2008) Artificial neural network-based equation for estimating VO2max from the 20 m shuttle run test in adolescents. Artif Intell Med 44, 233245.CrossRefGoogle ScholarPubMed
28.Castro-Piñero, J, Artero, EG, España-Romero, Vet al. (2009) Criterion-related validity of field-based fitness tests in youth: a systematic review. Br J Sports Med 44, 934943.CrossRefGoogle ScholarPubMed
29.Ortega, FB, Artero, EG, Ruiz, JRet al. (2008) Reliability of health-related physical fitness tests in European adolescents. The HELENA Study. Int J Obes (Lond) 32, Suppl. 5, S49S57.CrossRefGoogle ScholarPubMed
30.Ruiz, JR, Ortega, FB, Gutierrez, Aet al. (2006) Health-related fitness assessment in childhood and adolescence: a European approach based on the AVENA, EYHS and HELENA studies. J Public Health 14, 269277.CrossRefGoogle Scholar
31.Ruiz, JR, Ortega, FB, Martinez-Gomez, Det al. (2011) Objectively measured physical activity and sedentary time in European adolescents: the HELENA study. Am J Epidemiol 174, 173184.CrossRefGoogle ScholarPubMed
32.Gonzalez-Gross, M, Breidenassel, C, Gomez-Martinez, Set al. (2008) Sampling and processing of fresh blood samples within a European multicenter nutritional study: evaluation of biomarker stability during transport and storage. Int J Obes (Lond) 32, Suppl. 5, S66S75.CrossRefGoogle ScholarPubMed
33.Wallace, TM, Levy, JC & Matthews, DR (2004) Use and abuse of HOMA modeling. Diabetes Care 27, 14871495.CrossRefGoogle ScholarPubMed
34.Albertson, AM, Anderson, GH, Crockett, SJet al. (2003) Ready-to-eat cereal consumption: its relationship with BMI and nutrient intake of children aged 4 to 12 years. J Am Diet Assoc 103, 16131619.CrossRefGoogle ScholarPubMed
35.Timlin, MT, Pereira, MA, Story, Met al. (2008) Breakfast eating and weight change in a 5-year prospective analysis of adolescents: Project EAT (Eating Among Teens). Pediatrics 121, e638e645.CrossRefGoogle Scholar
36.Vereecken, CA, Dupuy, M, Rasmussen, Met al. (2009) Breakfast consumption and its socio-demographic and lifestyle correlates in schoolchildren in 41 countries participating in the HBSC study. Int J Public Health 54, Suppl. 2, 180190.CrossRefGoogle ScholarPubMed
37.Deshmukh-Taskar, PR, Nicklas, TA, O'Neil, CEet al. (2010) The relationship of breakfast skipping and type of breakfast consumption with nutrient intake and weight status in children and adolescents: the National Health and Nutrition Examination Survey 1999–2006. J Am Diet Assoc 110, 869878.CrossRefGoogle ScholarPubMed
38.Gibson, SA & O'Sullivan, KR (1995) Breakfast cereal consumption patterns and nutrient intakes of British schoolchildren. J R Soc Health 115, 366370.CrossRefGoogle ScholarPubMed
39.Barton, BA, Eldridge, AL, Thompson, Det al. (2005) The relationship of breakfast and cereal consumption to nutrient intake and body mass index: the National Heart, Lung, and Blood Institute Growth and Health Study. J Am Diet Assoc 105, 13831389.CrossRefGoogle ScholarPubMed
40.Cho, S, Dietrich, M, Brown, CJet al. (2003) The effect of breakfast type on total daily energy intake and body mass index: results from the Third National Health and Nutrition Examination Survey (NHANES III). J Am Coll Nutr 22, 296302.CrossRefGoogle ScholarPubMed
41.Sandercock, GR, Voss, C & Dye, L (2010) Associations between habitual school-day breakfast consumption, body mass index, physical activity and cardiorespiratory fitness in English schoolchildren. Eur J Clin Nutr 64, 10861092.CrossRefGoogle ScholarPubMed
42.Aarnio, M, Winter, T, Kujala, Uet al. (2002) Associations of health related behaviour, social relationships, and health status with persistent physical activity and inactivity: a study of Finnish adolescent twins. Br J Sports Med 36, 360364.CrossRefGoogle ScholarPubMed
43.Cohen, B, Evers, S, Manske, Set al. (2003) Smoking, physical activity and breakfast consumption among secondary school students in a southwestern Ontario community. Can J Public Health 94, 4144.CrossRefGoogle Scholar
44.Corder, K, van Sluijs, EM, Steele, RMet al. (2011) Breakfast consumption and physical activity in British adolescents. Br J Nutr 105, 316321.CrossRefGoogle ScholarPubMed
45.Li, C, Ford, ES, Mokdad, AHet al. (2006) Recent trends in waist circumference and waist–height ratio among US children and adolescents. Pediatrics 118, e1390e1398.CrossRefGoogle ScholarPubMed
46.Alexander, KE, Ventura, EE, Spruijt-Metz, Det al. (2009) Association of breakfast skipping with visceral fat and insulin indices in overweight Latino youth. Obesity (Silver Spring) 17, 15281533.CrossRefGoogle ScholarPubMed
47.Utter, J, Scragg, R, Mhurchu, CNet al. (2007) At-home breakfast consumption among New Zealand children: associations with body mass index and related nutrition behaviors. J Am Diet Assoc 107, 570576.CrossRefGoogle ScholarPubMed
48.Champagne, CM (2006) Dietary interventions on blood pressure: the Dietary Approaches to Stop Hypertension (DASH) trials. Nutr Rev 64, 2 Pt 2, S53S56.CrossRefGoogle ScholarPubMed
49.Mitka, M (2007) DASH dietary plan could benefit many, but few hypertensive patients follow it. J Am Med Assoc 298, 164165.Google Scholar
50.Ortega, RM, Requejo, AM, Lopez-Sobaler, AMet al. (1998) The importance of breakfast in meeting daily recommended calcium intake in a group of schoolchildren. J Am Coll Nutr 17, 1924.CrossRefGoogle Scholar
51.Hajjar, IM & Grim, CE & Kotchen, TA (2003) Dietary calcium lowers the age-related rise in blood pressure in the United States: the NHANES III survey. J Clin Hypertens (Greenwich) 5, 122126.CrossRefGoogle ScholarPubMed
52.Kollias, A, Antonodimitrakis, P, Grammatikos, Eet al. (2009) Trends in high blood pressure prevalence in Greek adolescents. J Hum Hypertens 23, 385390.CrossRefGoogle ScholarPubMed
53.Dialektakou, KD & Vranas, PB (2008) Breakfast skipping and body mass index among adolescents in Greece: whether an association exists depends on how breakfast skipping is defined. J Am Diet Assoc 108, 15171525.CrossRefGoogle ScholarPubMed
54.Ruiz, JR, Castro-Piñero, J, Artero, EGet al. (2009) Predictive validity of health-related fitness in youth: a systematic review. Br J Sports Med 43, 909923.CrossRefGoogle ScholarPubMed
Figure 0

Table 1 Breakfast consumption, weight status, mother's/father's education level and family structure by sex: adolescents (n 2929), aged 12–17 years, from ten European cities participating in the HELENA (Healthy Lifestyle in Europe by Nutrition in Adolescence) Study

Figure 1

Table 2 Breakfast consumption by sex and European region: adolescents (n 2929), aged 12–17 years, from ten European cities participating in the HELENA (Healthy Lifestyle in Europe by Nutrition in Adolescence) Study

Figure 2

Table 3 CVD risk factors by breakfast consumption and sex: adolescents (n 2929), aged 12–17 years, from ten European cities participating in the HELENA (Healthy Lifestyle in Europe by Nutrition in Adolescence) Study

Figure 3

Table 4 CVD risk factors by breakfast consumption, sex and weight status: adolescents (n 2929), aged 12–17 years, from ten European cities participating in the HELENA (Healthy Lifestyle in Europe by Nutrition in Adolescence) Study