| Autor: |
Kowalkowska J; Department of Human Nutrition, Faculty of Food Sciences, University of Warmia and Mazury in Olsztyn, Sloneczna 45F, 10-718 Olsztyn, Poland., Wadolowska L; Department of Human Nutrition, Faculty of Food Sciences, University of Warmia and Mazury in Olsztyn, Sloneczna 45F, 10-718 Olsztyn, Poland., Hamulka J; Department of Human Nutrition, Institute of Human Nutrition Sciences, Warsaw University of Life Science-SGGW, Nowoursynowska 159C, 02-776 Warsaw, Poland., Wojtas N; Department of Human Nutrition, Faculty of Food Sciences, University of Warmia and Mazury in Olsztyn, Sloneczna 45F, 10-718 Olsztyn, Poland., Czlapka-Matyasik M; Institute of Human Nutrition and Dietetics, Poznań University of Life Sciences, 31 Wojska Polskiego St., 60-624 Poznań, Poland., Kozirok W; Department of Commodity and Quality Management, Faculty of Entrepreneurship and Quality Science, Gdynia Maritime University, 81-87 Morska Street, 81-225 Gdynia, Poland., Bronkowska M; Department of Human Nutrition, Faculty of Biotechnology and Food Science, Wrocław University of Environmental and Life Sciences, Chełmońskiego 37, 51-630 Wroclaw, Poland., Sadowska J; Department of Human Nutrition Physiology, Faculty of Food Sciences and Fisheries, West Pomeranian University of Technology in Szczecin, Papieża Pawła VI 3, 71-459 Szczecin, Poland., Naliwajko S; Department of Bromatology, Faculty of Pharmacy with the Division of Laboratory Medicine, Medical University of Bialystok, Mickiewicza 2D, 15-222 Bialystok, Poland., Dziaduch I; Department of Human Nutrition Physiology, Faculty of Food Sciences and Fisheries, West Pomeranian University of Technology in Szczecin, Papieża Pawła VI 3, 71-459 Szczecin, Poland., Koronowicz A; Department of Human Nutrition, Faculty of Food Technology, University of Agriculture in Krakow, Balicka 122, 30-149 Krakow, Poland., Piasna-Slupecka E; Department of Human Nutrition, Faculty of Food Technology, University of Agriculture in Krakow, Balicka 122, 30-149 Krakow, Poland., Czeczelewska E; Department of Nursing, Faculty of Health Sciences, Collegium Mazovia Innovative Higher School in Siedlce, Sokolowska 161, 08-110 Siedlce, Poland., Czeczelewski J; Human Nutrition Laboratory, Faculty of Physical Education and Sport in Biala Podlaska, Jozef Pilsudski University of Physical Education, Warsaw, Akademicka 2, 21-500 Biala Podlaska, Poland., Kostecka M; Department of Chemistry, Faculty of Food Science and Biotechnology, University of Life Sciences, 15 Akademicka Street, 20-950 Lublin, Poland., Dlugosz A; Faculty of Chemical Technology and Engineering, University of Technology and Life Sciences in Bydgoszcz, Seminaryjna 3, 85-326 Bydgoszcz, Poland., Loboda D; Institute of Health, University of Economy in Bydgoszcz, Garbary 2, 85-229 Bydgoszcz, Poland., Jeruszka-Bielak M; Department of Human Nutrition, Institute of Human Nutrition Sciences, Warsaw University of Life Science-SGGW, Nowoursynowska 159C, 02-776 Warsaw, Poland. |
| Abstrakt: |
The aim of the study was to assess the reproducibility of a short-form, multicomponent dietary questionnaire (SF-FFQ4PolishChildren) in Polish children and adolescents. The study involved 437 children (6-10 years old) and 630 adolescents (11-15 years old) from rural and urban areas of Poland. The self-administered questionnaire was related to nutrition knowledge, dietary habits, active/sedentary lifestyle, self-reported weight and height, and socioeconomic data. The questionnaire was completed with a two-week interval-twice by parents for their children (test and retest for children), twice by adolescents themselves (adolescent's test and retest) and once by adolescents' parents (parent's test). The strength of agreement measured using the kappa statistic was interpreted as follows: 0-0.20 slight, 0.21-0.40 fair, 0.41-0.60 moderate, 0.61-0.80 good, and 0.81-1.00 excellent. Regarding the frequency of consumption of food items and meals, kappa statistics were 0.46-0.81 (the lowest: fruit/mixed fruit and vegetable juices; the highest: Energy drinks) in test-retest for children, 0.30-0.54 (fruit/mixed fruit and vegetable juices; breakfast, respectively) in adolescent's test-retest, 0.27-0.56 (the lowest: Sweets, fruit, dairy products; the highest: Breakfast) in adolescent's test and parent's test. Lower kappa statistics were found for more frequently consumed foods (juices, fruit, vegetables), higher kappa statistics were found for rarely consumed foods (energy drinks, fast food). Across study groups, kappa statistics for diet quality scores were 0.31-0.55 (pro-healthy diet index, pHDI) and 0.26-0.45 (non-healthy diet index, nHDI), for active/sedentary lifestyle items they were 0.31-0.72, for components of the Family Affluence Scale (FAS) they were 0.55-0.93, for BMI categories (based on self-reported weight and height) they were 0.64-0.67, for the nutrition knowledge (NK) of adolescents the kappa was 0.36, for the nutrition knowledge of children's parents it was 0.62. The Spearman's correlations for diet quality scores were 0.52-0.76 (pHDI) and 0.53-0.83 (nHDI), for screen time score they were 0.45-0.78, for physical activity score they were 0.51-0.77, for the FAS score they were 0.90-0.93, and for the NK score they were 0.68-0.80. The questionnaire can be recommended to evaluate dietary and lifestyle behaviors among children and adolescents. |
