Comparison of body composition of mothers and daughters with different food eating models

• Autorzy: Wadolowska L. , Pabjan K. , Slowinska M. A. , Niedzwiedzka E.
• Języki publikacji: EN

Abstrakty

EN

The nutritional status of mothers and daughters living together in households was analysed in relation to two eating models: moderate (MM) and varied (VM). The study included 97 mother-daughter pairs aged 43.3±6.0 years and 16.0±3.1 years, respectively. The VM mothers in comparison to the MM mothers had greater body mass (by 7.9 kg), which resulted mostly from a higher content of fat tissue (by 4.8 kg). The VM daughters in comparison to the MM daughters were significantly taller (by 3.3 cm), but did not differ in body mass nor body composition. Varied, excessive food consumption was favourable to the fattening of women and faster growing of girls.

• Wydawca: -
• Czasopismo: Polish Journal of Food and Nutrition Sciences
• Rocznik: 2008
• Tom: 58
• Numer: 4
• Opis fizyczny: p.517-520,ref.

Twórcy

autor

Wadolowska L.

• Department of Human Nutrition, University of Warmia and Mazury in Olsztyn, Sloneczna 44a, 10-718 Olsztyn, Poland

autor

Pabjan K.

autor

Slowinska M. A.

autor

Niedzwiedzka E.

Bibliografia

• 1. Burke V., Beilin L.J., Dunbar D., Family lifestyle and parenteral body mass index as predictors of body mass index in Australian children: a longitudinal study. Int. J. Obes., 2001, 25, 147–157.
• 2. Davison K.K., Francis L.A., Birch L.L, Reexamining obesigenic families: parents’ obesity-related behaviours predict girls’ change in BMI. Obes. Res., 2005, 13, 1980–1990.
• 3. Douketis J.D., Body weight classification. JAMC, 2005, 172, 10, 1274–1275.
• 4. Ekelund U., Ong K., Linne Y., Neovius M., Brage S., Dunger D.B., Wareham N.J., Rössner S., Upward weight percentile crossing in infancy and early childhood independently predicts fat mass in young adults: the Stockholm Weight Development Study (SWEDES). Am. J. Clin. Nutr., 2006, 83, 2, 324–330.
• 5. Feunekes G.I.J., De Graaf C., Meyboom S., Van Staveren W.A., Food choice and fat intake of adolescents and adults: associations of intakes within social networks. Prev. Med., 1998, 27, 645–656.
• 6. Heymsfield S.B., Wiliams P., Nutritional assessment by clinical and biochemical methods, 1988, in: Modern Nutrition in Health and Disease (eds. M.E. Shils, V.R. Young) 7thedition, Lea and Febiger, Philadelphia, pp. 817–860.
• 7. Hill T., Lewicki P., Statistics. Methods and Applications. A comprehensive reference for science, industry and data mining. 2006, StatSoft, Tulsa.
• 8. Jarosz M. ed., Otyłość, żywienie, aktywność fizyczna, zdrowie Polaków. Diagnoza stanu odżywienia, aktywności fizycznej i żywieniowych czynników ryzyka otyłości oraz przewlekłych chorób niezakaźnych w Polsce (1960–2005). 2006. Wyd. IŻŻ, Warszawa (in Polish; English abstract).
• 9. Jeżewska-Zychowicz M., Family environment as a predictor of selected food habits among adolescents from Warsaw. Pol. J. Food Nutr. Sci., 2004, 13/54, 3, 307–312.
• 10. Malinowski A., Trend sekularny i czasowa zmienność cech i standardów antropometrycznych Polaków w XX wieku. 2004, (ed. J. Zagórski, H. Popławska, M. Składa). Wyd. Instytutu Medycyny Wsi, Lublin, pp. 707–715 (in Polish).
• 11. Mosca L., Mochari H., Christian A., Berra K., Taubert K., Mills T., Burdick K.A., Simpson S.L., National study of women’s awareness, preventive action, and barriers to cardiovascular health. Circulation, 2006, 113, 525–534.
• 12. Neumark-Sztainer D., Hannan P. J., Story M., Croll J., Perry C., Family meal patterns: association with sociodemografic characteristics and improved dietary intake among adolescents. J. Am. Diet. Assoc., 2003, 103, 317–322.
• 13. Palczewska I., Niedźwiecka Z., Indices of somatic development of children and youth from Warsaw. Medycyna Wieku Rozwojowego, 2001, 5, 2 (in Polish; English abstract).
• 14. Story M., Neumark-Sztainer D., French S., Individual and environmental influences on adolescent eating behaviours. J. Am. Diet. Assoc., 2002, 102, S40–S51.
• 15. Van Den Bree M.B.M., Eaves L.J., Dwyer J.T., Genetic and environmental influences on eating patterns of twins aged ≥50 y. Am. J. Clin. Nutr., 1999, 70, 456–465.
• 16. Wądołowska L., Słowińska M.A., Pabjan-Adach K., Przybyłowicz K., Niedźwiedzka E., The comparison of food eating models of mothers and their daughters. Pakistan J. Nutr., 2007, 6, 381–386.
• 17. Williams S., Overweight at age 21: the association with body mass index in childhood and adolescence and parents’ body mass index. A cohort study of New Zealanders born in 1972–1973. Int. J. Obes., 2001, 25, 158–163.
• 18. Wells J.C., Chomtho S., Fewtrell M.S., Programming of body composition by early growth and nutrition. Proc. Nutr. Soc., 2007, 66, 423–434.
• 19. WHO, World Health Organization, Physical status: the use and interpretation of anthropometry. 1995, WHO Technical Report Series 854, Geneve.
• 20. Yoo S., Nicklas T., Baranowski T., Zakeri I.F., Yang S-J., Srinivasan S.R., Berenson G.S., Comparison of dietary intakes associated with metabolic syndrome risk factors in young adults: the Bogalusa Heart Study. Am. J. Clin. Nutr., 2004, 80, 841–848.

Uwagi

PL

Rekord w opracowaniu