Trends in Meal Patterns Among Americans in the Last 5 Years (Required Readings).

Overweight and obesity in children and adolescents are an increasing trouble in affluent countries( Reference Belanger-Ducharme and Tremblay 1 ). Besides genetic and lifestyle factors, several dietary factors are believed to exist related to the evolution of overweight in the young( Reference Swinburn, Caterson and Seidell two , Reference Jequier 3 ). One of these is an irregular meal pattern, specially breakfast skipping. Numerous epidemiological studies have shown a positive relationship between breakfast skipping and overweight/obesity in children and adolescents( Reference Albertson, Franko and Thompson 4 Reference Croezen, Visscher and Ter Bogt 12 ), whereas but a small number of studies take failed to detect significant associations( Reference Affenito, Thompson and Barton x , Reference Vagstrand, Barkeling and Forslund 13 ).

Breakfast skipping is a widespread behaviour( Reference Troiano and Flegal 14 ), and the frequency of breakfast skipping has increased over time, at to the lowest degree in the United states( Reference Siega-Riz, Popkin and Carson 15 ). Breakfast skipping may accept an overall dietary touch, every bit breakfast skippers consume a lower hateful number of servings of nutritious foods such as vegetables, grain products and milk products daily( Reference Dubois, Girard and Potvin Kent 11 ). In add-on, composition of breakfast is important. In 2008, Giovannini et al.( Reference Matthys, De Henauw and Bellemans 16 ) devised guidelines for a high-quality breakfast which are in accord with other authors: breakfast should include grain (namely whole grain), fruit (or juice) and (semi)skimmed milk products or other sources of calcium( Reference Giovannini, Verduci and Scaglioni 17 ). As in breakfast skipping, a low-quality breakfast tin compromise overall dietary intake of nutrients( Reference Timlin, Pereira and Story v , Reference Utter, Scragg and Mhurchu 7 , Reference Matthys, De Henauw and Bellemans sixteen , Reference Ortega, Requejo and Navia eighteen ) and nutrient levels( Reference Matthys, De Henauw and Bellemans 16 , Reference Ortega, Requejo and Lopez-Sobaler 19 ).

Intensive research has been concentrated on the quality of ready-to-eat cereal (RTEC) breakfasts and their touch on on overall free energy and nutrient intakes. These studies emphasise the depression fat content and the high nutrient contents of RTEC breakfasts( Reference Gibson and O'Sullivan 20 Reference Barton, Eldridge and Thompson 25 ). Other types of breakfast, due east.g. bread meals ('continental breakfast'), take rarely been the subject area of scientific analyses.

Eating habits are manifestly changing with time due to societal changes as well every bit to changes in the range of offered foods and nutrient marketing. In spite of the importance of breakfast in diet quality and prevention of obesity, the actual data on trends in breakfast habits are scarce. In the United states, a five % pass up in breakfast consumption was reported for pre-school children between 1965 and 1991( Reference Siega-Riz, Popkin and Carson xv ). Data from other countries are lacking. Therefore, nosotros examined historic period and time trends in breakfast frequency and nutrient pattern at breakfast in a sample of male and female children and adolescents in Federal republic of germany using data from the DONALD (Dortmund Nutritional and Anthropometric Longitudinally Designed) Study. The DONALD Study provides 20-year longitudinal data from a sample roofing childhood and adolescence with a yearly detailed dietary information from the three d weighed food records.

Methods

Report design

The DONALD Written report is an ongoing, longitudinal (open accomplice) written report collecting detailed data on diet, growth, development and metabolism between infancy and adulthood since 1985. Details have been published elsewhere( Reference Kroke, Manz and Kersting 26 ). In short, the starting study sample included infants, children and adolescents recruited from the cantankerous-sectional studies conducted in schools and kindergartens (n 470). Since 1989, infants have been recruited and followed up longitudinally at least until the age of eighteen years. Study participants are recruited in the city of Dortmund and surrounding communities via personal contacts, maternity wards or paediatric practices. The eligible are healthy German infants whose mothers and/or fathers are willing to participate in a long-term written report and of whom at least one parent has sufficient noesis of the High german language. Dropout rates are low (three %). Really, 580 individuals are participants of the DONALD Study.

The regular DONALD assessments include records of dietary intake and behaviour, anthropometry, urine sampling, interviews on lifestyle and health-related issues and medical examination once in a year per study participant ≥ii years of age( Reference Kroke, Manz and Kersting 26 ). All examinations and assessments are performed with parental and/or participant'south consent.

The DONALD Report, which is exclusively observational and non-invasive, has been canonical by the International Scientific Commission of the Inquiry Institute of Child Nutrition and the Ethic Committee of the University of Bonn.

Study sample

For the present evaluation, we analysed 3 d dietary records of participants anile two–18 years in the study period (1986–2007). This choice resulted in 7800 records (23 400 record days) from 1081 participants (534 boys, 547 girls) from 797 families. Per participant, between one (n 132; 12 % of the total sample) and seventeen (44, four %), three d records were available and analysed (mean: vii·2 records per participant). A full of 1095 dietary records (14 %) were available for the catamenia 1986–1990; 1735 (22 %) for 1991–1995; 1571 (20 %) for 1996–1999; 1750 (22 %) for 2000–2003; and 1649 (21 %) for 2004–2007. Mean age at recording of these written report periods was vii·0 (sd 4·2), 7·2 (sd 4·0), 8·3 (sd four·3), 9·2 (sd 4·8) and 9·iii (sd five·0) years. Percentages of records from boys were 51 %, 50 %, 49 %, 49 % and 50 % in the respective study periods. Participants themselves cull the kickoff of the three d recording period. Of the total, 7007 tape days (xxx %) were nerveless at weekend days (Saturday and Lord's day) in the present sample.

Dietary survey

Parents of younger or older participants themselves weighed and recorded all foods and beverages consumed using electronic food scales (±one g) on 3 consecutive days. In add-on, medicines and supplements were recorded. Semi-quantitative recording (e.g. number of spoons and scoops) was allowed when weighing was not possible. Food drove details have been described elsewhere( Reference Kroke, Manz and Kersting 26 ).

Energy and nutrient intakes were calculated using the in-house food database LEBTAB. LEBTAB is based on standard nutrient tables, predominantly the German (48 % of items) and the US (eighteen % of items) tables( Reference Sichert-Hellert, Kersting and Chahda 27 ). Energy and nutrient contents of commercial food products, eastward.g. RTEC, bread and convenience food, are calculated by recipe simulation using labelled nutrient contents and ingredients. For longitudinal analysis in the DONALD Study, LEBTAB is updated continuously with new foods recorded by the participants, if their composition is different from the existing labels. A new food or a commercial food product that already exists in the database but has undergone a change in limerick (i.e. new ingredients and fortification) leads to a new entry( Reference Sichert-Hellert, Kersting and Chahda 27 ). At nowadays, LEBTAB contains about 6000 food items (15 % staple foods, 77 % composites and commercial products, including commercial infant food, and 8 % special preparations, i.e. medicines and supplements).

For the present evaluation, dietary supplements and pharmaceuticals were excluded. All foods and beverages recorded were assigned to ane of the nine food groups (Table 1) in accord with the food groups of the US Mypyramid. We adopted this classification of involvement in specific nutrient groups eaten at breakfast past splitting the grain group into bread and RTEC. Both these food groups represent the two typical German language types of breakfast. Fruit and vegetables had been aggregated. Nosotros added the food groups 'Beverages' and 'Miscellaneous', since we aimed to classify all reported food items to a suitable food grouping.

Table i Definition of food groups

RTEC, prepare-to-eat cereals.

Definition of breakfast and breakfast types

The time of every eating occasion is listed in the 3 d records. Participants themselves decide when a new eating occasion begins. Overall, 146 364 eating occasions were reported in the total sample. Here, breakfast has been defined as any eating occasion between 05.00 and 08.59 hours. A total of 21 183 eating occasions accept been reported during this period. Afterward summing the sets of eating occasions with <10 min betwixt them into single eating occasions, 21 141 breakfast eating occasions remained.

For the calculation of breakfast frequency, a total food consumption at breakfast <15 g, usually a piece of candy or cracker, was non accepted equally a breakfast (n 43 breakfast meals).

With respect to the grain component, breakfast meals were assigned to v meal types: bread meals, RTEC meals, meals with both bread and RTEC, meals with neither staff of life nor RTEC and drinkable-only meals.

Statistical assay

SAS® procedures (SAS statistical software package version 8·2; SAS Constitute Inc., Cary, NC, USA) were used for data analysis. Food and food intakes were calculated as individual means of the iii record days.

To analyse the influence of effects on the outcome variables, a mixed linear model was used, in which the means of the data and the covariance structure (children of the family and repeated measurements) were modelled (PROC MIXED in SAS®). An exponential spatial structure of covariance was specified to consider correlation of repeated measurements dependent on the accented time interval of repeated measurements within the same participant. For discrete variables (e.chiliad. breakfast skipping, regularity of breakfast and meal types), the %GLIMMIX macro in SAS® was used to fit the full general mixed linear model. In the models, age (in years), time (in years since the starting time of the written report), gender, twenty-four hours of the week (Monday–Fri 5. Saturday–Sunday) and meal type (5 types defined past the grain component) were included as potential furnishings. Regularity of breakfast has been defined every bit breakfast consumption every day during the 3 d tape period on weekdays.

Results

Breakfast frequency

Overall, a breakfast was eaten on xviii 163 record days (77·6 % of all record days). The number of days with breakfast decreased significantly during the study period and with age (Table 2). These trends were significant inside the age groups with the exception of the not significant time tendency in the youngest (information not shown). Breakfast skipping was more frequent on weekend days than on weekdays (Tabular array two). No meaning gender differences in breakfast frequencies were found.

Tabular array ii Trends in breakfast habits in 23 400 tape days from 1081 participants in the DONALD Study (2–18 years old) betwixt 1986 and 2007

*Results of a general linear mixed model considering correlation of repeated measurements dependent on the absolute time interval of repeated measurements within the same participant; no pregnant gender differences (P = 0·0676).

For analysis of the regularity of breakfasting, merely dietary records with three weekdays were selected (north 3529, 45 % of all records). In 75 % of these records, a breakfast was eaten on all iii d (regular breakfast); in eleven % of records, it was eaten on 2 d; and in 7 % of records, it was eaten on 1 d. In 7 % of records, breakfast was skipped on all days. During the study period, the number of records with breakfast on 3 d decreased significantly in the 6–12- and 13–18-year-olds (P = 0·0084 and 0·0350, respectively, Fig. 1), but not in the younger age grouping. A significant negative age trend was constitute simply in 6–12-year-olds (P = 0·0120). Gender differences were non meaning.

Fig. 1 Pct of weekday records with regular breakfast (three times in 3 d) during the study period in participants anile 2–5 (), half-dozen–12 () and 13–18 () years from the DONALD Written report. Results of a full general linear mixed model: vi–12 years erstwhile (n 1552, 3 d dietary records), P = 0·0084; 13–eighteen years old (northward 906), P = 0·0350; 2–5 years old (n 1071), NS

Meal types

Overall, xi 254 breakfasts were staff of life meals (62 %), 3743 were RTEC meals (21 %); both bread and RTEC were eaten at 762 breakfast meals (4 %), and neither bread nor RTEC was consumed at 2229 meals (12 %). A total of 175 breakfast meals (1 %) contained only beverages.

The distribution of meal types at breakfast changed significantly with age (P < 0·0001, Table 3). The percentage of bread meals remained fairly constant, only RTEC meals nearly doubled from the youngest to the oldest age group. The percentage of meals with neither bread nor RTEC decreased.

Table 3 Trends in repast types at breakfast in 1081 participants in the DONALD Written report (2–18 years old) between 1986 and 2007 (18 163 breakfast meals)

*Results of a general linear mixed model considering correlation of repeated measurements dependent on the accented fourth dimension interval of repeated measurements inside the aforementioned participant; no significant gender differences (P = 0·8142).

Moreover, fourth dimension trends were significant (P < 0·0001) for breakfast blazon, as the percent of staff of life meals decreased, only the percentage of RTEC meals increased.

Whereas no gender differences were found for repast types, the distribution of meal types differed between weekdays and weekend days, with a higher percentage of bread meals and a lower percentage of RTEC meals on weekend days (P < 0·0001).

Breakfast quality

In accord with the recommendations on breakfast composition, simply 24 % of staff of life or RTEC meals included fruit/vegetables and dairy. During the study period, the percentage of breakfast meals, co-ordinate to the guidelines( Reference Matthys, De Henauw and Bellemans 16 , Reference Giovannini, Verduci and Scaglioni 17 ), increased from 22 % in 1986–1999 to 26 % in 2004–2007 (P = 0·0005). With respect to age, in that location was a decrease from 29 % in 2–5-year-olds to 23 % in xiii–18-year-olds (P < 0·0001). A college percentage of RTEC meals than of staff of life meals was in accordance with the breakfast composition guidelines (36 % 5. twenty %, P < 0·0001), i.eastward. a breakfast including grain, dairy and fruit/vegetables. According to the guidelines, the greatest deviation betwixt bread meals and RTEC meals was the consumption of dairy; but 74 % of bread meals, but 99 % of RTEC contained dairy. Fruit/vegetables were eaten at 32 % of bread meals and 37 % of RTEC meals; beverages were consumed at 39 % of bread meals, just just 29 % of RTEC meals. No significant differences in adherence to guidelines were found with respect to gender or weekend/weekdays.

Table 4 shows trends in the composition of the nearly common meal types, i.e. bread meals and RTEC meals. Overall, dairy accounts for approximately half of the breakfast intake followed by other beverages (approximately i-fifth). The overall portion size of fruit/vegetables at breakfast is minor, comprising only 11 % of the full food intake.

Table four Composition and trendsFootnote * of breadstuff meals (n eleven 254) and RTEC meals (n 3743) for breakfast in 1081 participants in the DONALD Report (2–eighteen years old) between 1986 and 2007; results of PROC MIXED

The total food intake and the intake of food groups at breakfast increased significantly with age (P < 0·0001), with the exception of fruit/vegetable intake. The meaning increase of total intake over time at breakfast was due to an increase in beverages, fruit/vegetables and grain intake, whereas the intakes of dairy, fat and sweets decreased (P < 0·0001). Significant gender differences were found with boys having a college total intake and college intakes of all food groups with the exception of fruit/vegetables, meat and beverages. On weekdays (Monday–Friday), the food amount for breakfast was lower than that on weekend days. The comparison of bread meals and RTEC meals showed a lower intake of dairy at bread meals, but higher intakes of meat, fat, sweets and beverages.

Discussion

This investigation of breakfast habits in German children and adolescents in a descriptive epidemiological written report during the final two decades found the following main results; (i) there was a positive age and fourth dimension trend in breakfast skipping and a negative tendency in regular breakfast eating; (ii) bread meals were the predominant meal type at breakfast, but the percent of RTEC meals increased with fourth dimension and age; (3) the corporeality of food intake at breakfast remained abiding, but the intake of beverages at breakfast increased; (iv) the breakfast quality, i.east. the accordance with nutrient-based guidelines( Reference Timlin, Pereira and Story 5 , Reference Matthys, De Henauw and Bellemans xvi , Reference Giovannini, Verduci and Scaglioni 17 ), was low particularly due to low intake of fruit/vegetables in full general and dairy in bread meals.

In the nowadays study, we focus on a food-based definition of breakfast quality. Even so, we practise non consider the portion size or food selection within a food group in this definition. For example, breakfast guidelines demand intake of whole grain. Bread as well equally RTEC can consist of whole grain, but on the other hand, bread and RTEC can consist of low fibre, high fat and high sugar. In our study, RTEC was a vehicle for intake of milk, but farther analysis of energy and food intakes of different types of breakfast is needed.

The frequency of breakfast in our study sample (approximately 75 % of all record days) was lower than that in comparable populations. In a Portuguese sample of thirteen–17-year-olds, 87 –94 % ate breakfast( Reference Mota, Fidalgo and Silva 6 ); in comparison, 97 % of 9–11-year-old British children reported breakfast eating( Reference Bellisle and Rolland-Cachera 28 ). In Canadian pre-schoolhouse children, only one-tenth ate breakfast on <7 d/week( Reference Dubois, Girard and Potvin Kent 11 ). These differences in breakfast prevalence may event from dissimilar dietary habits, and also from varying definitions of breakfast in different study settings, which may take blurred the results. Some studies used participant definitions for the assessment of breakfast: 'During the past week, how many days did y'all swallow breakfast?'( Reference Timlin, Pereira and Story 5 ) Breakfast skipping was defined as not eating a morning meal in combination with some boundaries, e.grand. at home( Reference Keski-Rahkonen, Kaprio and Rissanen 29 ) or before schoolhouse. Other studies defined breakfast every bit the first eating occasion involving a solid nutrient or a (energetic) drinkable that occurred after waking up( Reference Matthys, De Henauw and Bellemans xvi , Reference Preziosi, Galan and Deheeger 22 ). In the DONALD Study, we used researcher-defined food consumption during the defined hours of the twenty-four hours equally done by Utter et al.( Reference Utter, Scragg and Mhurchu 7 ) and Siega-Riz et al.( Reference Siega-Riz, Popkin and Carson 15 ), which is more objective than to ask the report participants about the type of meal. To define the 'first meal of the day' as breakfast may not be suitable, since in case of breakfast skipping, this first meal may occur in the heart of the day. In addition, our open recording in the DONALD Study shows that a lot of participants do not eat merely 'meals' but snack repeatedly over the solar day, too before 'breakfast'. Our definition also includes an apple or a slice of chocolate every bit breakfast. Notwithstanding, a food-based definition of breakfast would predispose our results of breakfast quality. Contempo publications have revealed marked declines in the frequency of breakfast intake throughout adolescence( Reference Albertson, Franko and Thompson four , Reference Affenito, Thompson and Barton 10 ), which begins in childhood( Reference Utter, Scragg and Mhurchu 7 ). Moreover, the breakfast quality decreased in female person adolescents, every bit indicated by an increased consumption of caffeine, sucrose and sodium and a decreased consumption of calcium( Reference Albertson, Franko and Thompson 4 ). A potential groundwork of this change of breakfast habits during boyhood may be the known shift from morningness to eveningness during the age of puberty( Reference Fleig and Randler 34 ). The DONALD Study showed that not just did the frequency of breakfast subtract with historic period, but likewise the quality of breakfast decreased in accordance with the common guidelines.

Although our results on age trends are in accordance with others, we did not notice a college frequency of breakfast skipping in girls than in boys, as has been reported previously in the literature( Reference Timlin, Pereira and Story 5 Reference Utter, Scragg and Mhurchu seven , Reference Vagstrand, Barkeling and Forslund 13 , Reference Keski-Rahkonen, Kaprio and Rissanen 29 ).

With its exceptionally long study period of ≥twenty years and shut assessments, the Donald Study tin examine relevant fourth dimension trends. In the DONALD Study, we found a meaning negative trend in breakfast frequency and regularity. There are only a small number of studies on time trends in breakfast consumption in children. A comparison of representative Usa samples over the last few decades showed a decline of breakfast consumption, peculiarly in older adolescents( Reference Siega-Riz, Popkin and Carson xv ) and adults( Reference Kant and Graubard 30 ). In the Bogalusa Heart Study, breakfast skipping increased from eight % to 30 % in x-twelvemonth-former children from 1973 to 1994( Reference Nicklas, Morales and Linares 31 ). Comparable studies from European countries are lacking.

In flush societies, eating breakfast daily was associated with college socio-economic condition (SES)( Reference Timlin, Pereira and Story 5 , Reference Utter, Scragg and Mhurchu 7 ), and breakfast skipping was associated with depression family SES in adults( Reference Hulshof, Brussaard and Kruizinga 32 ), children( Reference Moore, Tapper and Potato 33 ) and adolescent boys, but not in girls( Reference Keski-Rahkonen, Kaprio and Rissanen 29 ). In addition, breakfast quality was positively associated with SES( Reference Hulshof, Brussaard and Kruizinga 32 ). The association betwixt breakfast skipping and lower SES can at least partly explain the higher prevalence of obesity in this population.

Withal, the increasing trends in breakfast skipping observed in the United States were independent of the population's changes in sociodemographic patterns( Reference Siega-Riz, Popkin and Carson 15 ). Therefore, it is not surprising that we also establish a negative trend in breakfast consumption in our study sample in which participants with higher education levels of parents were over-represented, which is indicative of a higher SES( Reference Kroke, Manz and Kersting 26 ).

The DONALD Report is not able to provide possible reasons for the negative historic period and time trends. Weight-related concerns and perceptions are likely related to breakfast intake and may play a office in the frequency with which breakfast is eaten( Reference Timlin, Pereira and Story 5 ). However, familial or cultural factors should also be kept in view, as well every bit the increasing autonomy in making food choices during adolescence, which is in line with the widespread availability of pre-prepared foods and the trend towards two working parents.

In the DONALD Study, breakfast patterns are less healthy on weekends than weekdays. Also breakfast frequency was lower at weekends. Notwithstanding, this result may exist affected past our time-centred definition. A shift in the intake of meals to later in the twenty-four hours on weekends has been reported previously( Reference Fleig and Randler 34 ). Differences in food consumption patterns betwixt weekdays and weekend days, with college intakes of free energy and fat on weekend days, have been described previously( Reference Delva, Johnston and O'Malley 8 , Reference de Castro 35 Reference Cullen, Lara and de Moor 37 ).

Breakfast quality is of import for the maintenance of an acceptable nutrition. The intake of milk products during breakfast supports the full daily intake of milk and calcium( Reference Ortega, Requejo and Lopez-Sobaler 19 ). Children who usually eat breakfast are more likely to be frequent consumers of fruit, cereals and milk( Reference Utter, Scragg and Mhurchu 7 ). Consumers of a high-quality breakfast had better overall dietary patterns than those who consumed a low-quality breakfast( Reference Matthys, De Henauw and Bellemans 16 ).

In Deutschland, the traditional breakfast consists of bread or a bakery item, spread and filling, in combination with a (warm) potable. Such staff of life meals are still predominant today, in spite of the contest past RTEC. Similarly, in a Belgian study, less than one-half of the adolescents consumed an RTEC repast at breakfast( Reference Matthys, De Henauw and Bellemans 16 ).

While in French republic RTEC consumption declined with age( Reference Preziosi, Galan and Deheeger 22 ); in the DONALD Written report, the portion size of RTEC increased with age and during the written report menstruation. Furthermore, the percent of RTEC was higher in school-aged children and adolescents than in the pre-school age group.

RTEC are presumed to be a particularly healthy breakfast because of their low fat and high carbohydrate and vitamin content. RTEC are an important vehicle for milk intake. In our written report, RTEC meals independent more than dairy than bread meals. In the US population, RTEC at breakfast was associated with greater daily intake of both milk and calcium( Reference Song, Chun and Kerver 38 ).

Food-based dietary guidelines recommend that a loftier-quality breakfast should contain three components: a grain production, fruit/vegetables and a dairy component or an alternative source of calcium( Reference Timlin, Pereira and Story v , Reference Matthys, De Henauw and Bellemans xvi , Reference Giovannini, Verduci and Scaglioni 17 , Reference Kersting and Alexy 39 ). For Germany, an boosted potable (i.e. h2o, tea and juice/water mixtures) is recommended for breakfast( Reference Kersting and Alexy 39 ), since it is known that h2o intake in German language children and adolescents is below the recommended amounts( Reference Sichert-Hellert, Kersting and Manz 40 , Reference Manz, Wentz and Sichert-Hellert 41 ). In the present evaluation, merely a small percent (30 –forty %) of breakfasts contained a drinkable.

Our study has some strengths likewise as some weaknesses in terms of population and methodology. An important strength is the longitudinal cess, which is unique, every bit to our knowledge, there are no other studies with 20-year dietary data to document secular trends in dietary patterns. Our study sample was not intended to exist representative( Reference Kroke, Manz and Kersting 26 ). In the DONALD Report, 49 % of mothers and 56 % of fathers have technical/high school education, but in the full general population, but 29 % of men and 36 % of women( Reference Kroke, Manz and Kersting 26 ) have technical/high schoolhouse pedagogy. However, the results of other dietary evaluations in Germany are in accord with those from our sample( Reference Mensink, Bauch and Vohmann 42 ). Since breakfast habits are associated with SES, the results presented in the present study may non be generalisable to other SES groups of children and adolescents.

In our study, the aforementioned dietary assessment methodology has been used since the get-go of the study in 1985. These dietary records emphasise the detailed dietary information( Reference Sichert-Hellert, Kersting and Chahda 27 ) verified by dietitians. Nevertheless, it may be questioned whether an yearly 3 d record characterises an private's typical eating habits.

Conclusions

The identification of changes in breakfast habits in the young may be seen as a potential starting point for intervention programmes. Currently, in Federal republic of germany, breakfast promotion is focused on kindergartens and primary schools. However, every bit rates of breakfast consumption decrease throughout babyhood and adolescence, more emphasis should exist placed on breakfast consumption in older children in secondary schools. School breakfast programmes tin significantly lower the number of children skipping breakfast( Reference Nicklas, Morales and Linares 31 ). In improver, families should be targeted, since during adolescence, family mealtimes are important for healthy dietary habits( Reference Keski-Rahkonen, Kaprio and Rissanen 29 , Reference Videon and Manning 43 ). Interventions should be aimed at promoting a high-quality breakfast and should focus on including fruit/vegetables and beverages. Further research is needed to better understand the increasing tendency towards breakfast skipping and the touch of different breakfast repast types on energy and nutrient intake.

Acknowledgements

The nowadays study was supported by Unilever Federal republic of germany GmbH, Hamburg. None of the authors has any conflict of involvement. U.A. and 1000.K. conceived the project; U.A. and Yard.W. performed the data analyses; U.A. drafted the manuscript; Thousand.Thou. supervised the study. All authors contributed to the estimation of the information and revision of the manuscript. The authors are grateful to the staff of the Research Found of Child Nutrition for collecting and coding the dietary records and to the participants of the DONALD Study and to their families.

References

1. Belanger-Ducharme, F & Tremblay, A (2005) Prevalence of obesity in Canada. Obes Rev 6, 183186.CrossRefGoogle Scholar

ii. Swinburn, BA , Caterson, I , Seidell, JC et al. (2004) Nutrition, nutrition and the prevention of excess weight gain and obesity. Public Wellness Nutr 7, 123146.Google ScholarPubMed

iv. Albertson, AM , Franko, DL , Thompson, D et al. (2007) Longitudinal patterns of breakfast eating in blackness and white boyish girls. Obesity (Silver Bound) xv, 22822292.CrossRefGoogle ScholarPubMed

five. Timlin, MT , Pereira, MA , Story, M et al. (2008) Breakfast eating and weight change in a 5-year prospective assay of adolescents: Project Consume (Eating Among Teens). Pediatrics 121, e638e645.CrossRefGoogle Scholar

6. Mota, J , Fidalgo, F , Silva, R et al. (2008) Relationships between physical activity, obesity and meal frequency in adolescents. Ann Hum Biol 35, 110.CrossRefGoogle ScholarPubMed

7. Utter, J , Scragg, R , Mhurchu, CN et al. (2007) At-domicile breakfast consumption among New Zealand children: associations with body mass index and related nutrition behaviors. J Am Diet Assoc 107, 570576.CrossRefGoogle ScholarPubMed

viii. Delva, J , Johnston, LD & O'Malley, PM (2007) The epidemiology of overweight and related lifestyle behaviors: racial/ethnic and socioeconomic status differences amongst American youth. Am J Prev Med 33, S178S186.CrossRefGoogle ScholarPubMed

9. Nicklas, TA , Bao, Due west , Webber, LS et al. (1993) Breakfast consumption affects adequacy of full daily intake in children. J Am Nutrition Assoc 93, 886891.CrossRefGoogle ScholarPubMed

10. Affenito, SG , Thompson, DR , Barton, BA et al. (2005) Breakfast consumption past African-American and white adolescent girls correlates positively with calcium and cobweb intake and negatively with body mass alphabetize. J Am Diet Assoc 105, 938945.CrossRefGoogle ScholarPubMed

eleven. Dubois, 50 , Girard, G , Potvin Kent, Thousand et al. (2009) Breakfast skipping is associated with differences in meal patterns, macronutrient intakes and overweight among pre-schoolhouse children. Public Health Nutr 12, 1928.CrossRefGoogle ScholarPubMed

12. Croezen, S , Visscher, TL , Ter Bogt, NC et al. (2009) Skipping breakfast, alcohol consumption and physical inactivity as risk factors for overweight and obesity in adolescents: results of the Eastward-MOVO projection. Eur J Clin Nutr 63, 405412.CrossRefGoogle ScholarPubMed

thirteen. Vagstrand, Thou , Barkeling, B , Forslund, HB et al. (2007) Eating habits in relation to body fatness and gender in adolescents – results from the 'SWEDES' report. Eur J Clin Nutr 61, 517525.CrossRefGoogle ScholarPubMed

14. Troiano, RP & Flegal, KM (1998) Overweight children and adolescents: description, epidemiology, and demographics. Pediatrics 101, 497504.Google ScholarPubMed

15. Siega-Riz, AM , Popkin, BM & Carson, T (1998) Trends in breakfast consumption for children in the United States from 1965–1991. Am J Clin Nutr 67, 748S756S.CrossRefGoogle ScholarPubMed

16. Matthys, C , De Henauw, South , Bellemans, G et al. (2007) Breakfast habits affect overall nutrient profiles in adolescents. Public Health Nutr 10, 413421.CrossRefGoogle ScholarPubMed

17. Giovannini, M , Verduci, Due east , Scaglioni, S et al. (2008) Breakfast: a good habit, not a repetitive custom. J Int Med Res 36, 613624.CrossRefGoogle Scholar

18. Ortega, A , Requejo, AM , Navia, B et al. (1998) The relationship between the consumption of an inadequate breakfast and energy profile imbalance in preschool children. Nutr Res 18, 703712.CrossRefGoogle Scholar

19. Ortega, RM , Requejo, AM , Lopez-Sobaler, AM et 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

xx. Gibson, SA & O'Sullivan, KR (1995) Breakfast cereal consumption patterns and nutrient intakes of British schoolchildren. J R Soc Health 115, 366370.CrossRefGoogle ScholarPubMed

21. Kleemola, P , Puska, P , Vartiainen, E et al. (1999) The consequence of breakfast cereal on nutrition and serum cholesterol: a randomized trial in Due north Karelia, Finland. Eur J Clin Nutr 53, 716721.CrossRefGoogle ScholarPubMed

22. Preziosi, P , Galan, P , Deheeger, M et al. (1999) Breakfast type, daily nutrient intakes and vitamin and mineral status of French children, adolescents, and adults. J Am Coll Nutr 18, 171178.CrossRefGoogle Scholar

23. Ruxton, CH , O'Sullivan, KR , Kirk, TR et al. (1996) The contribution of breakfast to the diets of a sample of 136 primary-schoolchildren in Edinburgh. Br J Nutr 75, 419431.CrossRefGoogle ScholarPubMed

24. McNulty, H , Eaton-Evans, J , Cran, Chiliad et al. (1996) Nutrient intakes and touch on of fortified breakfast cereals in schoolchildren. Curvation Dis Child 75, 474481.CrossRefGoogle ScholarPubMed

25. Barton, BA , Eldridge, AL , Thompson, D et 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

26. Kroke, A , Manz, F , Kersting, Grand et al. (2004) The DONALD Study. History, current status and futurity perspectives. Eur J Nutr 43, 4554.CrossRefGoogle ScholarPubMed

27. Sichert-Hellert, Westward , Kersting, 1000 , Chahda, C et al. (2007) Commercial nutrient products in a Food Composition Information Base for dietary evaluation in pediatric age groups. J Food Compost Anal 20, 63lxx.CrossRefGoogle Scholar

28. Bellisle, F & Rolland-Cachera, MF (2007) Three consecutive (1993, 1995, 1997) surveys of food intake, nutritional attitudes and noesis, and lifestyle in 1000 French children, aged 9–11 years. J Hum Nutr Diet 20, 241251.CrossRefGoogle Scholar

29. Keski-Rahkonen, A , Kaprio, J , Rissanen, A et al. (2003) Breakfast skipping and health-compromising behaviors in adolescents and adults. Eur J Clin Nutr 57, 842853.CrossRefGoogle ScholarPubMed

30. Kant, AK & Graubard, BI (2006) Secular trends in patterns of self-reported food consumption of adult Americans: NHANES 1971–1975 to NHANES 1999–2002. Am J Clin Nutr 84, 12151223.CrossRefGoogle ScholarPubMed

31. Nicklas, TA , Morales, M , Linares, A et al. (2004) Children'south meal patterns have changed over a 21-year flow: the Bogalusa Heart Study. J Am Diet Assoc 104, 753761.CrossRefGoogle Scholar

32. Hulshof, KF , Brussaard, JH , Kruizinga, AG et al. (2003) Socio-economical status, dietary intake and ten y trends: the Dutch National Food Consumption Survey. Eur J Clin Nutr 57, 128137.CrossRefGoogle Scholar

33. Moore, GF , Tapper, K , Murphy, S et al. (2007) Associations between deprivation, attitudes towards eating breakfast and breakfast eating behaviours in 9–eleven-twelvemonth-olds. Public Health Nutr ten, 582589.CrossRefGoogle ScholarPubMed

34. Fleig, D & Randler, C (2009) Association between chronotype and diet in adolescents based on food logs. Eat Behav 10, 115118.CrossRefGoogle ScholarPubMed

35. de Castro, JM (1991) Weekly rhythms of spontaneous nutrient intake and repast blueprint of humans. Physiol Behav 50, 729738.CrossRefGoogle ScholarPubMed

36. Haines, PS , Hama, MY , Guilkey, DK et al. (2003) Weekend eating in the United States is linked with greater free energy, fat, and booze intake. Obes Res 11, 945949.CrossRefGoogle ScholarPubMed

37. Cullen, KW , Lara, KM & de Moor, C (2002) Children'due south dietary fat intake and fat practices vary by meal and solar day. J Am Diet Assoc 102, 17731778.CrossRefGoogle Scholar

38. Song, WO , Chun, OK , Kerver, J et al. (2006) Ready-to-eat breakfast cereal consumption enhances milk and calcium intake in the US population. J Am Diet Assoc 106, 17831789.CrossRefGoogle ScholarPubMed

39. Kersting, Thousand & Alexy, U (2006) Empfehlungen für das Frühstück (Breakfast guidelines). Dortmund: Forschungsinstitut für Kinderernährung Dortmund (FKE).Google Scholar

40. Sichert-Hellert, W , Kersting, M & Manz, F (2001) 15 year trends in water intake in German children and adolescents: results of the DONALD Written report. Dortmund Nutritional and Anthropometric Longitudinally Designed Report. Acta Paediatr ninety, 732737.CrossRefGoogle ScholarPubMed

41. Manz, F , Wentz, A & Sichert-Hellert, W (2002) The nigh essential food: defining the acceptable intake of water. J Pediatr 141, 587592.CrossRefGoogle Scholar

42. Mensink, GB , Bauch, A , Vohmann, C et al. (2007) EsKiMo – the nutrition module in the German language Health Interview and Examination Survey for Children and Adolescents (KiGGS). Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz fifty, 902908.CrossRefGoogle Scholar

43. Videon, TM & Manning, CK (2003) Influences on adolescent eating patterns: the importance of family meals. J Adolesc Wellness 32, 365373.CrossRefGoogle ScholarPubMed

reynabrociall.blogspot.com

Source: https://www.cambridge.org/core/journals/public-health-nutrition/article/breakfast-trends-in-children-and-adolescents-frequency-and-quality/949FB00F01EFBDFCDFE6045D735F5F1D

0 Response to "Trends in Meal Patterns Among Americans in the Last 5 Years (Required Readings)."

Post a Comment

Iklan Atas Artikel

Iklan Tengah Artikel 1

Iklan Tengah Artikel 2

Iklan Bawah Artikel