期刊论文详细信息
BMC Pediatrics
Dietary patterns of adolescents in Germany - Associations with nutrient intake and other health related lifestyle characteristics
Gert BM Mensink1  Silke Thiele3  Jutta Roosen2  Matthias B Schulze4  Christin Heidemann1  Almut Richter1 
[1] Department of Epidemiology and Health Reporting, Robert Koch Institute, Nordufer 20, 13353 Berlin, Germany;Marketing and Consumer Research, Technische Universität München, Alte Akademie 16, 85354 Freising, Germany;Department of Food Economics and Consumption Studies, Christian-Albrechts-Universität Kiel, Olshausenstraße 40, 24098 Kiel, Germany;Department Molecular Epidemiology, German Institute of Human Nutrition, Arthur-Scheunert-Allee 114-116, 14558 Nuthetal, Germany
关键词: Principal component analysis;    Nutrition epidemiology;    Adolescents;    Dietary patterns;   
Others  :  1170812
DOI  :  10.1186/1471-2431-12-35
 received in 2011-10-21, accepted in 2012-03-22,  发布年份 2012
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【 摘 要 】

Background

The aim of this study was to identify dietary patterns among a representative sample of German adolescents and their associations with energy and nutrient intake, socioeconomic and lifestyle characteristics, and overweight status.

Methods

In the analysis, data from the German Health Interview and Examination Survey for Children and Adolescents were used. The survey included a comprehensive dietary history interview conducted among 1272 adolescents aged 12 to 17 years. Dietary patterns were determined with principal component analysis (PCA) based on 48 food groups, for boys and girls separately.

Results

Three dietary patterns among boys and two among girls were identified. Among boys, high adherence to the 'western' pattern was associated with higher age, lower socioeconomic status (SES), and lower physical activity level (PA). High adherence to the 'healthy' pattern among boys, but not among girls, was associated with higher SES, and higher PA. Among boys, high adherence to the 'traditional' pattern was associated with higher age. Among girls, high adherence to the 'traditional and western' pattern was associated with lower age, lower SES and more hours watching TV per day. The nutrient density of several vitamins and minerals, particularly of B-vitamins and calcium, increased with increasing scores of the 'healthy' pattern among both sexes. Conversely, with increasing scores of the 'western' pattern among boys, most nutrient densities decreased, particularly of fibre, beta-carotene, vitamin D, biotin and calcium. Among girls with higher scores of the 'traditional and western' pattern, nutrient densities of vitamin A, C, E, K and folate decreased. Among boys, high adherence to the 'traditional' pattern was correlated with higher densities of vitamin B12 and vitamin D and lower densities of fibre, magnesium and iron. No significant associations between dietary patterns and overweight were found.

Conclusions

Higher scores for dietary patterns characterized by higher consumption of take away food, meat, confectionary and soft drinks ('western' and 'traditional and western') were found particularly among 16- to 17-years old boys and among adolescents with lower SES. These patterns were also associated with higher energy density, higher percent of energy from unsaturated fatty acids and lower percent of energy from carbohydrates as well as lower nutrient densities of several vitamins and minerals. Therefore, nutritional interventions should try to focus more on adolescents with lower SES and boys in general.

【 授权许可】

   
2012 Richter et al; licensee BioMed Central Ltd.

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【 参考文献 】
  • [1]Rogol AD, Roemmich JN, Clark PA: Growth at puberty. J Adolesc Health 2002, 31:192-200.
  • [2]Birch LL, Fisher JO: Development of eating behaviors among children and adolescents. Pediatrics 1998, 101:539-549.
  • [3]Spear BA: Adolescent growth and development. J Am Diet Assoc 2002, 102:S23-S29.
  • [4]Mikkila V, Rasanen L, Raitakari OT, Pietinen P, Viikari J: Consistent dietary patterns identified from childhood to adulthood: the cardiovascular risk in Young Finns Study. Br J Nutr 2005, 93:923-931.
  • [5]Lake AA, Mathers JC, Rugg-Gunn AJ, Adamson AJ: Longitudinal change in food habits between adolescence (11-12 years) and adulthood (32-33 years): the ASH30 Study. J Public Health (Oxf) 2006, 28:10-16.
  • [6]Lien N, Lytle LA, Klepp KI: Stability in consumption of fruit, vegetables, and sugary foods in a cohort from age 14 to age 21. Prev Med 2001, 33:217-226.
  • [7]Kelder SH, Perry CL, Klepp KI, Lytle LL: Longitudinal tracking of adolescent smoking, physical activity, and food choice behaviors. Am J Public Health 1994, 84:1121-1126.
  • [8]Tercyak KP, Tyc VL: Opportunities and challenges in the prevention and control of cancer and other chronic diseases: children's diet and nutrition and weight and physical activity. J Pediatr Psychol 2006, 31:750-763.
  • [9]Law M: Dietary fat and adult diseases and the implications for childhood nutrition: an epidemiologic approach. Am J Clin Nutr 2000, 72:1291S-1296S.
  • [10]Smith GD: Life-course approaches to inequalities in adult chronic disease risk. Proc Nutr Soc 2007, 66:216-236.
  • [11]WHO: Diet, nutrition and the prevention of chronic diseases. [http://whqlibdoc.who.int/trs/who_trs_916.pdf] webciteWHO Technical Report Series Geneva; 2003., 916
  • [12]Hu FB: Dietary pattern analysis: a new direction in nutritional epidemiology. Curr Opin Lipidol 2002, 13:3-9.
  • [13]Speck BJ, Bradley CB, Harrell JS, Belyea MJ: A food frequency questionnaire for youth: psychometric analysis and summary of eating habits in adolescents. J Adolesc Health 2001, 28:16-25.
  • [14]Cutler GJ, Flood A, Hannan P, Neumark-Sztainer D: Major patterns of dietary intake in adolescents and their stability over time. J Nutr 2009, 139:323-328.
  • [15]Nicklas TA, Webber LS, Thompson B, Berenson GS: A multivariate model for assessing eating patterns and their relationship to cardiovascular risk factors: the Bogalusa Heart Study. Am J Clin Nutr 1989, 49:1320-1327.
  • [16]Li J, Wang Y: Tracking of dietary intake patterns is associated with baseline characteristics of urban low-income African-American adolescents. J Nutr 2008, 138:94-100.
  • [17]Ritchie LD, Spector P, Stevens MJ, Schmidt MM, Schreiber GB, Striegel-Moore RH, Wang MC, Crawford PB: Dietary patterns in adolescence are related to adiposity in young adulthood in black and white females. J Nutr 2007, 137:399-406.
  • [18]Okubo H, Sasaki S, Murakami K, Kim MK, Takahashi Y, Hosoi Y, Itabashi M: Dietary patterns associated with functional constipation among Japanese women aged 18 to 20 years: a cross-sectional study. J Nutr Sci Vitaminol (Tokyo) 2007, 53:232-238.
  • [19]Song Y, Joung H, Engelhardt K, Yoo SY, Paik HY: Traditional v. modified dietary patterns and their influence on adolescents' nutritional profile. Br J Nutr 2005, 93:943-949.
  • [20]Li SJ, Paik HY, Joung H: Dietary patterns are associated with sexual maturation in Korean children. Br J Nutr 2006, 95:817-823.
  • [21]Kourlaba G, Panagiotakos DB, Mihas K, Alevizos A, Marayiannis K, Mariolis A, Tountas Y: Dietary patterns in relation to socio-economic and lifestyle characteristics among Greek adolescents: a multivariate analysis. Public Health Nutr 2009, 12:1366-1372.
  • [22]Barker ME, McClean SI, Thompson KA, Reid NG: Dietary behaviours and sociocultural demographics in Northern Ireland. Br J Nutr 1990, 64:319-329.
  • [23]Aranceta J, Perez-Rodrigo C, Ribas L, Serra-Majem L: Sociodemographic and lifestyle determinants of food patterns in Spanish children and adolescents: the enKid study. Eur J Clin Nutr 2003, 57(Suppl 1):S40-S44.
  • [24]Q3 Del Mar Bibiloni M, Martinez E, Llull R, Pons A, Tur JA: Western and Mediterranean dietary patterns among Balearic Islands' adolescents: socio-economic and lifestyle determinants. Public Health Nutr 2012, 15(4):683-692.
  • [25]Craig LC, McNeill G, Macdiarmid JI, Masson LF, Holmes BA: Dietary patterns of school-age children in Scotland: association with socio-economic indicators, physical activity and obesity. Br J Nutr 2010, 103:319-334.
  • [26]Lozada AL, Flores M, Rodriguez S, Barquera S: Dietary patterns in Mexican adolescent girls. A comparison of two methods. National Nutrition Survey, 1999. Salud Publica Mex 2007, 49:263-273.
  • [27]McNaughton SA, Ball K, Mishra GD, Crawford DA: Dietary patterns of adolescents and risk of obesity and hypertension. J Nutr 2008, 138:364-370.
  • [28]Kim JA, Kim SM, Lee JS, Oh HJ, Han JH, Song Y, Joung H, Park HS: Dietary patterns and the metabolic syndrome in Korean adolescents: 2001 Korean National Health and Nutrition Survey. Diabetes Care 2007, 30:1904-1905.
  • [29]Song Y, Park MJ, Paik HY, Joung H: Secular trends in dietary patterns and obesity-related risk factors in Korean adolescents aged 10-19 years. Int J Obes (Lond) 2010, 34:48-56.
  • [30]Kamtsiurius P, Lange M, Schaffrath Rosario A: Der Kinder- und Jugendgesundheitssurvey (KiGGS): Stichprobendesign. Response und Non-Response-Analyse. Bundesgesundheitsbl-Gesundheitsforsch-Gesundheitsschutz 2007, 50:547-556.
  • [31]Kurth BM, Kamtsiuris P, Holling H, Schlaud M, Dolle R, Ellert U, Kahl H, Knopf H, Lange M, Mensink GB, et al.: The challenge of comprehensively mapping children's health in a nation-wide health survey: design of the German KiGGS-Study. BMC Public Health 2008, 8:196. BioMed Central Full Text
  • [32]Mensink GB, Bauch A, Vohmann C, Stahl A, Six J, Kohler S, Fischer J, Heseker H: EsKiMo - the nutrition module in the German Health Interview and Examination Survey for Children and Adolescents (KiGGS). Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 2007, 50:902-908.
  • [33]Lange M, Kamtsiuris P, Lange C: Schaffrath Rosario A, Stolzenberg H, Lampert T: [Sociodemographic characteristics in the German Health Interview and Examination Survey for Children and Adolescents (KiGGS) - operationalisation and public health significance, taking as an example the assessment of general state of health]. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 2007, 50:578-589.
  • [34]Mensink GB, Haftenberger M, Thamm M: Validity of DISHES 98, a computerised dietary history interview: energy and macronutrient intake. Eur J Clin Nutr 2001, 55:409-417.
  • [35]Krems C, Bauch A, Götz A, Heuer T, Hild A, Möseneder J, Brombach C: Methoden der neuen Nationalen Verzehrsstudie II. Ernährungs-Umschau 2006, 53:44-50.
  • [36]Hartmann BM, Bell S, Vásquez-Caicedo AL, Götz A, Brombach C: Der Bundeslebensmittelschlüssel - Aktuelle Entwicklungen, Potenzial und Perspektiven. Ernährungsumschau 2006, 53:124-129.
  • [37]Kromeyer-Hauschild K, Wabisch M, Kunze D, Geller F, Geiß H, Hesse V, von Hippel A, Jaeger U, Dohnson D, Korte W, et al.: Perzentile für den Body-mass-Index für das Kindes- und Jugendalter unter Heranziehung verschiedener deutscher Stichproben. Monatsschr Kinderheilkd 2001, 149:807-818.
  • [38]Mensink GBM, Heseker H, Richter A, Stahl A, Vohmann C: Ernährungsstudie als KiGGS-Modul (EsKiMo). Forschungsbericht. Berlin, Paderborn: Robert Koch-Institut, Universtität Paderborn; 2007:1-137.
  • [39]Hatcher L: A Step-by-Step Approach to Using the SAS System for Factor Analysis and Structural Equation Modeling. 9th edition. SAS Campus Drive, Cary, North Carolina: SAS Institute Inc; 2007.
  • [40]Ambrosini GL, Oddy WH, Robinson M, O'Sullivan TA, Hands BP, de Klerk NH, Silburn SR, Zubrick SR, Kendall GE, Stanley FJ, Beilin LJ: Adolescent dietary patterns are associated with lifestyle and family psycho-social factors. Public Health Nutr 2009, 12:1807-1815.
  • [41]Kohler S, Richter A, Lampert T, Mensink GB: Alcohol consumption among adolescents in Germany. Results of EsKiMo. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 2009, 52:745-752.
  • [42]Alexy U, Sichert-Hellert W, Kersting M, Schultze-Pawlitschko V: Pattern of long-term fat intake and BMI during childhood and adolescence-results of the DONALD Study. Int J Obes Relat Metab Disord 2004, 28:1203-1209.
  • [43]Okubo H, Sasaki S, Murakami K, Kim MK, Takahashi Y, Hosoi Y, Itabashi M: Three major dietary patterns are all independently related to the risk of obesity among 3760 Japanese women aged 18-20 years. Int J Obes (Lond) 2008, 32:541-549.
  • [44]Mikkilä V, Räsänen L, Raitakari OT, Marniemi J, Pietinen P, Rönnemaa T, Viikari J: Major dietary patterns and cardiovascular risk factors from childhood to adulthood. The Cardiovascular Risk in Young Finns Study. Br J Nutr 2007, 98:218-225.
  • [45]Willett WC: Nutritional Epidemiology. 2nd edition. New York: Oxford University Press; 1998.
  • [46]Utter J, Scragg R, Ni Mhurchu C, Schaaf D: What effect do attempts to lose weight have on the observed relationship between nutrition behaviors and body mass index among adolescents? Int J Behav Nutr Phys Act 2007, 4:40. BioMed Central Full Text
  • [47]Heitmann BL, Lissner L: Dietary underreporting by obese individuals-is it specific or non-specific? BMJ 1995, 311:986-989.
  • [48]Kurth BM, Ellert U: Estimated and Measured BMI and Self-Perceived Body Image of Adolescents in Germany: Part 1 - General Implications for Correcting Prevalence Estimations of Overweight and Obesity. Obes Facts 2010, 3:181-190.
  • [49]Brettschneider AK, Rosario AS, Ellert U: Validity and predictors of BMI derived from self-reported height and weight among 11- to 17-year-old German adolescents from the KiGGS study. BMC Res Notes 2011, 4:414. BioMed Central Full Text
  • [50]Schofield WN: Predicting basal metabolic rate, new standards and review of previous work. Hum Nutr Clin Nutr 1985, 39(Suppl 1):5-41.
  • [51]Truthmann J, Mensink GB, Richter A: Relative validation of the KiGGS Food Frequency Questionnaire among adolescents in Germany. Nutr J 2011, 10:133. BioMed Central Full Text
  • [52]Adams SA, Matthews CE, Ebbeling CB, Moore CG, Cunningham JE, Fulton J, Hebert JR: The effect of social desirability and social approval on self-reports of physical activity. Am J Epidemiol 2005, 161:389-398.
  • [53]Martinez ME, Marshall JR, Sechrest L: Invited commentary: Factor analysis and the search for objectivity. Am J Epidemiol 1998, 148:17-19.
  • [54]McCann SE, Marshall JR, Brasure JR, Graham S, Freudenheim JL: Analysis of patterns of food intake in nutritional epidemiology: food classification in principal components analysis and the subsequent impact on estimates for endometrial cancer. Public Health Nutr 2001, 4:989-997.
  • [55]Michels KB, Schulze MB: Can dietary patterns help us detect diet-disease associations? Nutr Res Rev 2005, 18:241-248.
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