Aneta Grajda 1, Zbigniew Kułaga 1, Beata Gurzkowska 1, Ewelina Napieralska 1, Mieczysław Litwin 2

Podobne dokumenty
Cracow University of Economics Poland. Overview. Sources of Real GDP per Capita Growth: Polish Regional-Macroeconomic Dimensions

THE WEIGHT STATUS OF SCHOOL AGE CHILDREN AND ITS ASSOCIATION WITH GROSS DOMESTIC PRODUCT

Cracow University of Economics Poland

Występowanie nadwagi, otyłości oraz niedoboru masy ciała wśród uczniów klas III szkół podstawowych z uwzględnieniem różnic regionalnych

Ocena wpływu nasilenia objawów zespołu nadpobudliwości psychoruchowej na masę ciała i BMI u dzieci i młodzieży

Charakterystyka kliniczna chorych na raka jelita grubego

Has the heat wave frequency or intensity changed in Poland since 1950?

Evaluation of the main goal and specific objectives of the Human Capital Operational Programme

Ekonomiczne i społeczno-demograficzne czynniki zgonów osób w wieku produkcyjnym w Polsce w latach

Ocena skuteczności preparatów miejscowo znieczulających skórę w redukcji bólu w trakcie pobierania krwi u dzieci badanie z randomizacją

AN TRO PO MO TO RY KA

Investment expenditures of self-governement units in percentage of their total expenditure


Unit of Social Gerontology, Institute of Labour and Social Studies ageing and its consequences for society

Network Services for Spatial Data in European Geo-Portals and their Compliance with ISO and OGC Standards

Problem otyłości wśród populacji trzynastolatków na przykładzie uczniów Miejskiego Zespołu Szkół nr 2 w Będzinie

Structure of councilors in the legislative organs of local government units

Underweight, overweight and obesity in girls at the age of 7-19 years from the Lubelskie Province in the years

Endokrynologia Pediatryczna Pediatric Endocrinology

Length of expressways and highways per 100 km 2

Zbigniew Kułaga 1, Mieczysław Litwin 2, Beata Gurzkowska 1, Aneta Grajda 1, Ewelina Napieralska 1

ZALEŻNOŚĆ MIĘDZY WYSOKOŚCIĄ I MASĄ CIAŁA RODZICÓW I DZIECI W DWÓCH RÓŻNYCH ŚRODOWISKACH

SWPS Uniwersytet Humanistycznospołeczny. Wydział Zamiejscowy we Wrocławiu. Karolina Horodyska

ANNALES UNIVERSITATIS MARIAE CURIE-SKŁODOWSKA LUBLIN - POLONIA VOL.LVIII, SUPPL. XIII, 218 SECTIO D 2003

Ocena wskaźników wagowo-wzrostowych dzieci krakowskich w wieku 6-14 lat

The average number of people in a household receiving social benefits in relation to the average number of persons per household

Instructions for student teams

Country fact sheet. Noise in Europe overview of policy-related data. Poland

Krytyczne czynniki sukcesu w zarządzaniu projektami

Ocena zachowań prozdrowotnych w zakresie higieny jamy ustnej obywateli

Joanna Rodziewicz-Gruhn Charakterystyka wysokości i proporcji wagowo-wzrostowych kobiet między 20 a 75 rokiem życia

czynnikami ryzyka i chorobami układu sercowo-naczyniowego.

Akademia Morska w Szczecinie. Wydział Mechaniczny

HemoRec in Poland. Summary of bleeding episodes of haemophilia patients with inhibitor recorded in the years 2008 and /2010

Regionalne różnice parametrów antropometrycznych oraz ciśnienia tętniczego uczniów w wieku 7-18 lat

wskaźnik WHR. Ocenie poddano także skład ciała wykorzystując analizator składu ciała TANITA BC 554. Na podstawie uzyskanych wyników wysunięto

Lek. Ewelina Anna Dziedzic. Wpływ niedoboru witaminy D3 na stopień zaawansowania miażdżycy tętnic wieńcowych.

STRESZCZENIE Celem głównym Materiał i metody

Wstęp ARTYKUŁ REDAKCYJNY / LEADING ARTICLE

Revenue to gminas budgets from service charges in division 756 per capita

SSW1.1, HFW Fry #20, Zeno #25 Benchmark: Qtr.1. Fry #65, Zeno #67. like

Fig 5 Spectrograms of the original signal (top) extracted shaft-related GAD components (middle) and

Institutional Determinants of IncomeLevel Convergence in the European. Union: Are Institutions Responsible for Divergence Tendencies of Some

Is there a relationship between age and side dominance of tubal ectopic pregnancies? A preliminary report

Journal of Agribusiness and Rural Development

MULTI-MODEL PROJECTION OF TEMPERATURE EXTREMES IN POLAND IN

CZĘSTOŚĆ WYSTĘPOWANIA NADWAGI I OTYŁOŚCI U DZIECI I MŁODZIEŻY WIEJSKIEJ Z KASZUB W LATACH

SPITSBERGEN HORNSUND

Alicja Drohomirecka, Katarzyna Kotarska

MORTGAGE COVER POOL REPORT Issuer

METODA OGÓLNEJ OCENY STANU ŚRODO- WISKA OBSZARÓW WIEJSKICH NA PODSTAWIE INFORMACJI Z BANKU DANYCH REGIONALNYCH GUS I OSZACOWAŃ PROGRAMU EMEP

OCENA CZĘSTOŚCI WYSTĘPOWANIA NADWAGI I OTYŁOŚCI U MŁODZIEŻY W WIEKU LAT W POLSCE PRZY ZASTOSOWANIU TRZECH RÓŻNYCH NARZĘDZI BADAWCZYCH

Ocena potrzeb pacjentów z zaburzeniami psychicznymi

Trend in drug use in Poland

ABOUT NEW EASTERN EUROPE BESTmQUARTERLYmJOURNAL

Rozdział XI. Streszczenie

ROZPRAWA DOKTORSKA. Mateusz Romanowski

Estimated data of three ICT indexes available from GUSM

Rozpoznawanie twarzy metodą PCA Michał Bereta 1. Testowanie statystycznej istotności różnic między jakością klasyfikatorów

STATISTICAL OFFICE IN WARSAW 1 Sierpnia 21, Warszawa POPULATION AND VITAL STATISTICS IN THE MAZOWIECKIE VOIVODSHIP IN 2014

Tychy, plan miasta: Skala 1: (Polish Edition)

ANNALES UNIVERSITATIS MARIAE CURIE-SKŁODOWSKA LUBLIN - POLONIA VOL.LIX, SUPPL. XIV, 58 SECTIO D 2004

Gdański Uniwersytet Medyczny Wydział Nauk o Zdrowiu z Oddziałem Pielęgniarstwa i Instytutem Medycyny Morskiej i Tropikalnej. Beata Wieczorek-Wójcik

Model for Youth Monitoring in the Regional Labour Markets: Practical Results of Soft Modelling (Polish regions example)

The data reporting such indexes for a number of years (about twelve years of such data are were fitted to a logistic curve:

Podsumowanie Raportu o Romach i Travellers

Opracowanie publikacji: Opracowanie wyników: Urząd Statystyczny w Poznaniu przy współpracy Urzędu Statystycznego w Bydgoszczy. Lidia Motrenko-Makuch

distribution of body mass index categories rural and urban areas*

SPITSBERGEN HORNSUND

Patients price acceptance SELECTED FINDINGS


Barbara Adamczyk. Dzieci ulicy. w Polsce i na świecie. Definicja. typologia etiologia

ANNALES UNIVERSITATIS MARIAE CURIE-SKŁODOWSKA LUBLIN - POLONIA VOL.LIX, SUPPL. XIV, 57 SECTIO D 2004


Chronotyp i struktura temperamentu jako predyktory zaburzeń nastroju i niskiej jakości snu wśród studentów medycyny

PLACE AND ROLE OF PHYSICAL ACTIVITY IN THE LIVES OF THE ELDERLY AND DISABLED PEOPLE. Barbara Bergier

Zakopane, plan miasta: Skala ok. 1: = City map (Polish Edition)

Warsztaty Ocena wiarygodności badania z randomizacją

An employer s statement on the posting of a worker to the territory of the Republic of Poland

SPITSBERGEN HORNSUND

OCENA STANU WIEDZY UCZNIÓW SZKÓŁ POLICEALNYCH NA TEMAT DODATKÓW DO ŻYWNOŚCI

Karpacz, plan miasta 1:10 000: Panorama Karkonoszy, mapa szlakow turystycznych (Polish Edition)

Wydział Fizyki, Astronomii i Informatyki Stosowanej Uniwersytet Mikołaja Kopernika w Toruniu

DOI: / /32/37

SPITSBERGEN HORNSUND

Analiza epidemiologiczna występowania i uwarunkowań pylicy górników kopalń węgla kamiennego w województwie śląskim w latach

Latent Dirichlet Allocation Models and their Evaluation IT for Practice 2016

Helena Boguta, klasa 8W, rok szkolny 2018/2019

Raport bieżący: 44/2018 Data: g. 21:03 Skrócona nazwa emitenta: SERINUS ENERGY plc

Poland Market Survey

ISSN ISSN Aesthetics and ethics of pedagogical action Issue 11

Spatial planning in floodplains in mountain catchments of different row, in the basin of the Upper Vistula and the Upper and Central Odra

Sargent Opens Sonairte Farmers' Market

Obwieszczenia i Zarządzenia władz Okupacynych (Sygn. 241), (Announcements and Orders) RG

Cystatin C as potential marker of Acute Kidney Injury in patients after Abdominal Aortic Aneurysms Surgery preliminary study

Opis Przedmiotu Zamówienia oraz kryteria oceny ofert. Części nr 10

OCENA MOśLIWOŚCI WYKORZYSTANIA HODOWLI ŚWIŃ RASY ZŁOTNICKIEJ

Admission to the first and only in the swietokrzyskie province Bilingual High School and European high School for the school year 2019/2020

Opis Przedmiotu Zamówienia oraz kryteria oceny ofert. Część nr 8

Mgr Paweł Musiał. Promotor Prof. dr hab. n. med. Hanna Misiołek Promotor pomocniczy Dr n. med. Marek Tombarkiewicz

Transkrypt:

Medycyna Wieku Rozwojowego, 2011, XV, 3, Cz. I IMiD, Wydawnictwo Aluna Aneta Grajda 1, Zbigniew Kułaga 1, Beata Gurzkowska 1, Ewelina Napieralska 1, Mieczysław Litwin 2 * 1 Public Health Division, The Children s Memorial Health Institute, Warsaw Head of Division: Z. Kułaga MD 2 Department of Research, The Children s Memorial Health Institute, Warsaw Head of Department: Prof. M. Litwin MD, PhD Abstract Aim: The aim of the study was to compare the prevalence of overweight, obesity, and underweight in children and adolescents from different provinces in Poland. Materials and methods: Data from the recent, large, population-representative sample of school-aged children and adolescents (N=17573) OLAF study: Elaboration of the reference range of arterial blood pressure for the population of children and adolescents in Poland PL0080 OLAF were used in the analysis. The survey was conducted in all provinces of Poland (N=16). Data were analyzed using SAS 9.2, EpiInfo 3.5.1 and LMSgrowth software packages. The frequency of overweight, obesity, and underweight were determined. For overweight and obesity (jointly) and underweight the odds ratio (OR) was calculated for gender and voivodship of residence. The body mass index (BMI) was standardized and expressed as a z-score. The statistical significance of differences between BMI z-scores depending on voivodship of residence was assessed by the t-test. Results: Significant differences were found in the occurrence of overweight and obesity among the analysed regions, and voivodships with a lower (małopolskie, świętokrzyskie, lubelskie, and podkarpackie) and higher (mazowieckie) risk of overweight and obesity were identified. In case of underweight, łódzkie and podkarpackie (<0.040) provinces were higher risk areas, while mazowieckie (<0.001) had lower risk. The prevalence of overweight (including obesity) was higher compared to the prevalence of underweight in the majority of provinces (15 out of 16). Conclusions: Analysis of regional differences in the prevalence of obesity, overweight and underweight in children and adolescents may point to the direction in which nationwide and local efforts should be made to reduce the inequalities stemming from nutritional status. Key words: overweight, obesity, underweight, children, regional differences Streszczenie Cel: Celem pracy było porównanie częstości występowania nadwagi, otyłości i niedoboru masy ciała wśród dzieci i młodzieży pomiędzy województwami w Polsce. Materiał i metody: W pracy wykorzystano wyniki aktualnego, dużego badania OLAF zrealizowanego na próbie reprezentatywnej dla populacji dzieci i młodzieży w wieku szkolnym (N=17573) w Polsce pn. Opracowanie norm ciśnienia tętniczego dla populacji dzieci i młodzieży w Polsce PL0080 OLAF. Badanie zostało przeprowadzone we wszystkich województwach w Polsce (N=16). Dane analizowano z użyciem pakietu statystycznego SAS 9.2, EpiInfo 3.5.1 oraz LMSgrowth. Wyznaczono częstość występowania nadwagi i otyłości oraz niedoboru masy ciała. Dla nadwagi i otyłości (łącznie) oraz niedowagi wyliczono iloraz szans (IS) w zależności od płci badanych i województwa. Wskaźnik masy ciała (BMI) dla wieku i płci standaryzowano i wyrażono w postaci z-score. Istotność statystyczną różnic średnich standaryzowanych BMI, w zależności od województwa, badano testem t. *Acknowledgments. The OLAF study was supported by a grant from Iceland, Liechtenstein and Norway through the EEA Financial Mechanism and the Norwegian Financial Mechanism, and by the Ministry of Science and Higher Education of Poland; grant number PL0080.

Regional differences in the prevalence of overweight, obesity and underweight among polish children and adolescents 259 Wyniki: Wykazano istotne różnice w częstości występowania nadwagi i otyłości w analizowanych regionach, wyznaczając województwa o mniejszym (małopolskie, świętokrzyskie, lubelskie i podkarpackie) i większym ryzyku wystąpienia nadwagi i otyłości (mazowieckie). W przypadku niedoboru masy ciała województwa łódzkie i podkarpackie należą do obszarów większego ryzyka (p<0,040), z kolei województwo mazowieckie wykazuje mniejsze ryzyko wystąpienia niedowagi (<0,001). Częstość występowania nadwagi (w tym otyłość) był wyższy w porównaniu do częstości niedoboru masy ciała w większości województw (15 spośród 16). Wnioski: Analiza regionalnego zróżnicowania występowania nadwagi i otyłości oraz niedoboru masy ciała w populacji wieku rozwojowego może wskazać kierunek dostosowywania krajowych oraz lokalnych wysiłków w celu niwelowania nierówności związanych ze stanem odżywienia. Słowa kluczowe: nadwaga, otyłość, niedobór masy ciała, dzieci, różnice regionalne MeD. WIekU RozWoj., 2011, XV, 3, cz IntRoDUctIon The prevalence of overweight and obesity among children and adolescents is increasing in many countries around the world, including European countries (1). Central and Eastern Europe are characterized by lower levels of overweight and obesity, whereas countries in the southern and western regions of the continent, by higher prevalence levels. In northern European countries, 10-20% of children are overweight, in southern European countries, 20-40%. The observed trend of prevalence of overweight and obesity depending on the region is related not only to genetic differences among these populations, but also to environmental dissimilarities differences in socioeconomic conditions, urbanization, culture, and health-promoting behaviours, including dietary habits and level of physical activity (2). Differences in the prevalence of overweight (including obesity) among regions of a country may reflect the diversity of obesity risk factors that occur at the level of the individual, on one hand, and at the level of the region in question, on the other. In Poland, determining the prevalence of excessive body weight is the subject of numerous analyses conducted by regional centres (3, 4, 5); direct comparison of the results of these studies is not possible because of the lack of uniformity of criteria adopted to define overweight and obesity, as well as the differences in the age of the studied subjects. The data collected in the nationwide, representative OLAF study, that was conducted to establish blood pressure reference ranges for this population of children and adolescents in Poland, also makes it possible to determine the prevalence of overweight and obesity in respect to the region and thus to identify areas with higher and lower risks of these conditions. Information about regional differences in the health of the paediatric population may help in recognizing obesity-promoting environments, and, consequently, in undertaking measures related to the allocation of resources to support organised social and political efforts aimed at not only stopping the rise in obesity and overweight, but at reducing their prevalence, which is currently a national health priority (6). objective The objective of this study was to compare the prevalence of overweight, obesity, and underweight among children and adolescents from different provinces in Poland. MAteRIAl AnD MethoDs Data from a representative sample of elementary, middle school and secondary school pupils (N=17 573) obtained from 2007 to 2009 in the OLAF study, Elaboration of reference blood pressure ranges for Polish children and adolescents PL0080 OLAF were used for this analysis. The data from 16 pupils were excluded because measurements of either height and/or weight were missing, also excluded were the data from 7 girls who were pregnant. Finally the data from 17550 pupils (8386 boys, 47.8%, and 9164 girls, 52.2%) were used in the first analysis. In the analysis of differences in standardized average BMI values depending on province voivodship of residence, the data from 17 427 pupils aged 7-18 years (8327 boys, 9100 girls), were used, excluding those of 47 participants below the age of 6.5 years and 76 aged over 18.5 years. The survey was conducted throughout all provinces of Poland (N=16). Geographical representativeness of the OLAF study has been presented in another publication (7). Approval was obtained from the Children s Memorial Health Institute Ethics Committee before the study commenced. Study participants were selected by two-staged random sampling in which the school was the primary sampling unit. Height and weight were measured in accordance with the OLAF study protocol by trained teams of researchers using standardized equipment. Average body heights and weights were calculated using the obtained measurements. The sample selection and measurement methods have been described in detail in a previous report (8). The calendar age of a child was calculated from the difference between the examination and birth dates. The result was expressed as a decimal and the calendar age in the middle of the range was assigned to the child (e.g., children in the age range of 6.5 and <7.5 years were recorded as 7 years old). The

260 Aneta Grajda i et wsp. al. results were grouped according to gender and one-year age categories according to voivodship of residence. The results were analyzed using the SAS 9.2, EpiInfo 3.5.1., LMSgrowth (downloaded from: http://homepage.mac.com/ tjcole/filesharing1.html) software packages. Overweight and obesity were defined using the BMI (body mass index) cut-offs given in the international definition of obesity for children and adolescents (9), whereas underweight, on the basis of the BMI cut-offs proposed by Cole TJ et al. (10). The frequencies of overweight and obesity and of underweight were calculated. For overweight and obesity (jointly) and underweight the odds ratio (OR) and 95% confidence interval were calculated for children and adolescents aged 6-19 years depending on gender and voivodship of residence. Reference BMI values (developed using the OLAF Study data) for ages 7-18 years were available (11), therefore the BMI for age and gender was standardized for a given age range and expressed as a z-score. The statistical significance of differences in the frequency of overweight and obesity between the voivodship and the rest of the country was assessed using the Chi-square test for the entire studied sample and separately for gender. The statistical significance of differences in standardized average BMI values depending on voivodship of residence was assessed using the t-test. The results were considered significant at p<0.05; values p<0.1 were considered statistical trends. ResUlts The sample size, mean and standard deviation BMI of Polish boys and girls aged 6-19 years are shown in table I. In Poland the prevalence of overweight and obesity in 6-19-year-old children and adolescents was 16.4% (18.7% and 14.3%, boys and girls respectively), and underweight 12.0% total (10.0% boys, 13.7% girls). Analysis of the frequency of overweight and obesity (jointly) according to voivodship showed that pupils in the małopolskie, świętokrzyskie and lubelskie voivodships have a significantly lower risk of overweight and obesity, and statistical trend for lower risk was found in the podkarpackie voivodship. In turn, children and adolescents from the mazowieckie, lubuskie, dolnośląskie, and kujawsko-pomorskie voivodships had the highest frequency of overweight (including obesity) (>17.5%) in comparison with the rest of the country (tab. II). Figure 1 shows the frequency of overweight and obesity depending on the voivodship of residence (fig. 1). In each voivodship (excluding the świętokrzyskie voivodship), the frequency of overweight and obesity was higher among boys than in girls, this difference being significant in the dolnośląskie, lubelskie, małopolskie, mazowieckie, wielkopolskie, and zachodniopomorskie voivodships (p<0.05). Comparison of the occurrence of overweight and obesity (jointly) and underweight showed that in the majority of voivodships, excessive body weight was more frequent, although there were those in which these frequencies were similar (the podkarpackie, lubelskie, and małopolskie voivodships), and in the świętokrzyskie voivodship, underweight was more frequent. The highest share of underweight was found in the łódzkie, lubuskie and podkarpackie ( 14.0%), the lowest, in the mazowieckie and opolskie (<10.0%) voivodships (fig. 2), while in the łódzkie (14.8%; OR=1.30; 95%Cl: 1.09-1.55; p=0.003), podkarpackie (14.0%; OR=1.21; 95%Cl: 1.01-1.45; p=0.040) and mazowieckie (9.3%; OR=0.72; 95%Cl: 0.62-0.84; p<0.001) statistical significance was noted. Analysis of BMI z-scores for age and gender showed that the voivodship of residence may have a significant influence on the BMI z-score of pupils aged 7-18. Average BMI z-scores were significantly higher than zero in the dolnośląskie and mazowieckie voivodships, whereas in the małopolskie, świętokrzyskie, lubelskie and podkarpackie voivodships, significantly lower than zero. Table III presents the BMI z-scores by gender and voivodship of residence. DIscUssIon The main result of this analysis is the demonstration that there are areas of high (the mazowieckie voivodship) and low (małopolskie, świętokrzyskie, lubelskie, and podkarpackie voivodships) risk of overweight and obesity (jointly). The observed differences were particularly significant in boys. Moreover, it was shown that in Poland, similarly as in other countries, the share of children with overweight and obesity is higher that of those who are underweight (12, 13). The results of the analysis relating to regional differences and identification of areas with a higher risk of overweight are in line with the results of the nationwide study of children and adolescents aged 7-17 years conducted in Poland in 1995 (14), in which it was found that the share of overweight (including obesity) was smaller in the eastern voivodships of Poland (including the former łomżyńskie voivodship) in comparison with the rest of the country (<9.5%). A similar study from 2005 conducted in five voivodships (kujawsko-pomorskie, lubuskie, małopolskie, podlaskie, and pomorskie) confirmed the existence of regional differences in the frequency of overweight and obesity and of underweight among adolescents, but that study pointed to different at-risk areas (15, 16). This discrepancy may result from the different age range of the studied population and different overweight and obesity cut-offs: 13-15 years vs 6-19 years; 85 centile and <5 centile vs International Obesity Task Force cut-offs (for overweight and obesity) and thinness

Regional differences in the prevalence of overweight, obesity and underweight among polish children and adolescents 261 age (years) n x sd n x sd voivodship cut-offs proposed by Cole T.J. (9, 10). The differences in nutritional status according to the region of residence, has been in the interest of researchers in many countries. English studies on adolescents, young adults and adults demonstrate a significantly higher share of overweight and obesity in northern England in comparison with the south (17). Hawkins et al. point to eastern England as n overweight and or p 217 17.7 1.10 0.94-1.28 0.221 kujawsko-pomorskie 182 17.6 1.10 0.93-1.30 0.273 lubelskie 161 14.1 0.82 0.69-0.98 lubuskie 84 17.9 1.11 0.87-1.42 0.386 192 17.1 0.89-1.24 0.78 0.67-0.91 mazowieckie 18.9 1.22 1.09-1.37 opolskie 69 17.3 1.07 0.81-1.40 0.630 podkarpackie 14.3 0.84 0.71-1.00 podlaskie 92 16.4 1.00 0.79-1.26 0.991 pomorskie 0.96 0.80-1.14 0.611 294 16.6 1.02 0.89-1.16 0.819 86 12.6 0.73 17.3 1.07 0.87-1.32 wielkopolskie 288 17.2 1.06 0.93-1.22 zachodniopomorskie 16.1 0.97 0.80-1.19 0.779 together boys 2880 16.4 girls 6 16.1 2.3 22 1.8 7 16.2 2.3 392 16.0 2.2 8 731 16.7 2.7 702 16.4 9 742 17.3 3.0 16.9 2.8 10 17.9 3.3 2.9 11 673 18.3 3.4 18.1 3.2 12 642 18.9 3.6 642 3.2 13 647 3.4 19.4 3.4 14 676 19.7 20.0 3.3 734 3.4 730 20.6 3.3 16 700 20.8 3.1 831 20.7 3.0 17 813 21.7 3.3 1073 21.1 3.1 18 22.3 3.3 21.2 3.1 19 34 21.6 3.1 42 21.2 3.7 a region with the lowest risk of overweight and obesity in early childhood, also after correcting for selected risk factors (maternal prepregnancy overweight, maternal smoking during pregnancy, birth weight, breastfeeding duration, introduction of solid foods, daily television viewing), ethnic group, and sociodemographic factors (18). The podkarpackie, świętokrzyskie, lubelskie, and

262 Aneta Grajda i et wsp. al. <14.5% 14.5 17.5% >17.5% 20 18 overweight+obesity underweight 16 14 12 Prevalence (%) 10 8 6 4 2 0 Mazowieckie Lubuskie Dolnośląskie Kujawsko-pomorskie Opolskie Warmińsko-mazurskie Wielkopolskie Lódzkie Śląskie Podlaskie Zachodniopomorskie Pomorskie Podkarpackie Lubelskie Małopolskie Świętokrzyskie Fig. 2 Prevalence (%) of overweight including obesity and underweight among boys and girls aged 6-19 years; comparison of children and adolescents by voivodship of residence. Ryc. 2 Częstość występowania (%) nadwagi włączając otyłość oraz niedoboru masy ciała wśród chłopców i dziewcząt w wieku 6-19 lat; porównanie dzieci i młodzieży według województwa zamieszkania.

Regional differences in the prevalence of overweight, obesity and underweight among polish children and adolescents 263 Table III. Mean standardized BMI (z-score) of 7-18-year-old children and adolescents according to gender and voivodship of residence (N=17 427). Tabela III. Średnie standaryzowane wartości wskaźnika masy ciała BMI (z-score) dzieci i młodzieży w wieku 7-18 lat w zależności od płci i województwa zamieszkania (N=17 427). voivodship n mean (z-score) bmi p male+female male Female male+female male Female 1221 0.09 0.11 0.07 0.002 0.008 0.064 kujawsko-pomorskie 1027 0.02 0.01 0.03 0.467 0.787 lubelskie 1143-0.06-0.07-0.06 0.031 0.118 0.138 lubuskie 463 0.00 0.09-0.08 0.970 0.200 0.199 1117-0.04-0.02 0.239 0.600-0.08-0.07-0.09 0.002 0.064 0.009 mazowieckie 2400 0.12 0.12 0.11 <0.001 <0.001 <0.001 opolskie 399-0.01 0.11 0.304 0.101 podkarpackie 1099-0.07-0.09-0.06 0.012 0.141 podlaskie 0.01 0.00 0.01 0.970 0.827 pomorskie 962 0.02 0.01 0.02 0.603 0.739 0.689 1761 0.00-0.02 0.03 0.864 0.491 0.379 680-0.13-0.20-0.06 <0.001 <0.001 0.232 0.03 0.06 0.00 wielkopolskie 1667 0.00-0.01 0.00 0.920 0.886 1.000 zachodniopomorskie 776-0.06 0.140 0.389 0.218 małopolskie voivodships, in which the present analysis showed the lowest risk of overweight and obesity, are regions characterized by a higher percentage of rural residents, thus with an urbanization index of under 50% (19). This suggests that the level of urbanization may be of importance in identifying areas at risk of excessive body weight, but the trend between overweight and obesity in relation to urbanization varies in different countries. In Swedish studies, the reported average BMIs, as well as the frequency of overweight and obesity, by region of residence were higher among children from schools in rural areas and small towns than among the population of large cities; the differences in frequencies were 5.0% and 10.7%, for boys and girls, respectively. The authors assessed the relationship between regional differences in the frequency of overweight with selected socioeconomic factors like membership of children in sports clubs and suggest that regional differences can not be explained by a correlation between the analyzed factors (20). In the mazowieckie voivodship, where a significantly higher risk of overweight and obesity was found, the per capita GDP is the highest in Poland, exceeding the national average by 60.1%; in turn, in three of the four voivodships in which a low risk of overweight and obesity was shown, per capita GDP is below 80% of the national average (21). It can not, therefore, be excluded that the socioeconomic status of a family and of the region of residence in general, may influence the frequency of overweight and obesity in children and adolescents in Poland. German studies have noted a higher frequency of overweight and obesity in children in areas belonging to the former West Germany (Munich) in comparison with children from the eastern part of the country (Dresden) (22), with the tendency and magnitude of increases in overweight and obesity frequencies in both areas becoming similar after the reunification of Germany (23). Causes of differences in nutritional status between regions/provinces can be searched also in the environmental factors, health behaviours of local communities, cultural influences and socioeconomic determinants, but this requires further research. Knowledge of the geographical distribution of overweight and obesity is the starting point for the next steps in identification of at-risk areas and better understanding of the obesity-generating environment. Identification of the risk factors for overweight and obesity, among others, and analysis of the possible interrelationships are now possible through epidemiological studies currently underway. For example, in British studies in the Leeds metropolis, a relationship was found between a high density of fast-food outlets and BMI values in children aged 3 to 15 years (24). In Canadian (Calgary) studies, in turn, analysis of the relationship between access to parks and green recreation areas and the frequency of overweight and obesity in preschool children found no correlation (25). The incorporation of geographical information systems (26, 27) into the field of health care for the purposes of prevention of health risks, including obesity, may make it possible to (1) undertake

264 Aneta Grajda i et wsp. al. effective measures aimed at identifying the risk factors of overweight and obesity, (2) monitor trends, and (3) undertake rational decisions as to the implementation of prophylactic measures. conclusions Analysis of regional differences in the prevalence of obesity, overweight and underweight in children and adolescents may point to the direction in which countrywide and local efforts must be made to reduce the inequalities stemming from nutritional status. RefeRences 1. Wang Y., Lobstein T.: Worldwide trends in childhood overweight and obesity. Int. J. Pediatr. Obes., 2006, 1, 11-25. 2. Lobstein T., Frelut M.L.: Prevalence of overweight among children in Europe. Obes. Rev., 2003, 4(4), 195-200. 3. Mazur A., Małecka-Tendera E., Lewin-Kowalik J.: Overweight and obesity in primary school children from the Podkarpatian Region. Pediatr. Pol., 2001, LXXVI, 10, 743-748. 4. Chrzanowska M., Gołąb S., Żarów R., Sobiecki J., Matusik S.: Trends in body adiposity and overweight and obesity occurrence in children and youth in Cracow in the last thirty years. Pediatr. Pol., 2002, LXXVII (2), 113-119. 5. Lebiedowicz K., Staśkiewicz G., Torres K.: Obesity in 15 year old children in Lublin, Poland. Prevalence compared to other countries and associated factors. Nowiny Lekarskie, 2001, 70 Supl.I, 55-60. 6. Rozporządzenie Ministra Zdrowia z dnia 21 sierpnia 2009 w sprawie priorytetów zdrowotnych. Dz. U. 2009, Nr 137 poz. 1126. 7. Kułaga Z., Różdżyńska A., Palczewska I., Grajda A., Gurzkowska B., Napieralska E., Litwin M.: Percentile charts of height, body mass and body mass index in children and adolescents in Poland results of the OLAF study. Standardy Medyczne 2010, 7, 690-700. 8. Kułaga Z., Litwin M., Tkaczyk M., Różdżyńska A., Barwicka K., Grajda A., Świąder A., Gurzkowska B., Napieralska E., Pan H.: The height-, weight-, and BMI-for-age of Polish school-aged children and adolescents relative to international and local growth references. BMC Public Health, 2010, 10, 109. 9. Cole T.J., Bellizzi M.C., Flegal K.M., Dietz W.H.: Establishing a standard definition for child overweight and obesity worldwide: international survey. BMJ 2000, 320, 1240. 10. Cole T.J., Flegal K.M., Nicholls D., Jackson A.A.: Body mass index cut offs to define thinness in children and adolescents: international survey. BMJ 2007, 335, 194. 11. Kułaga Z., Litwin M., Tkaczyk M., Palczewska I., Zajączkowska M., Zwolińska D., Krynicki T., Wasilewska A., Moczulska A., Morawiec-Knysak A., Barwicka K., Grajda A., Gurzkowska B., Napieralska E., Pan H.: Polish 2010 growth references for school-aged children and adolescents. Eur J Pediatr. 2010 Oct 23. (Epub ahead of print) DOI: 10.1007/s00431-010-1329-x. 12. Wang Y., Monteiro C., Popkin B.M.: Trends of obesity and underweight in older children and adolescents in the United States, Brazil, China and Russia. Am. J. Clin. Nutr., 2002, 75(6), 971-977. 13. Lazzeri G., Rossi S., Pammolli A., Pilato V., Pozzi T., Giacchi M.V.: Underweight and overweight among children and adolescents in Tuscany (Italy). Prevalence and short-term trends. J. Prev. Med. Hyg., 2008, 49, 13-21. 14. Oblacińska A., Wrocławska M., Woynarowska B.: Frequency of overweight and obesity in the school-age population in Poland and health care for pupils with these disorders. Pediatr. Pol., 1997, LXXII, 3, 241-245. 15. Oblacińska A., Jodkowska M.: Obesity among Polish adolescents: epidemiology, eating behaviours, dieting, physical activity and well-being among overweight and obese adolescents. Instytut Matki i Dziecka. Warszawa 2007. 16. Oblacińska A., Tabak I., Jodkowska M.: Demographic and regional determinants of underweight in Polish teenagers. Przegl. Epidemiol., 2007, 61, 785-793. 17. Scarborough P., Allender S.: The North South gap in overweight and obesity in England. Br. J. Nutr., 2008, 100, 677-684. 18. Hawkins S.S., Griffiths L.J., Cole T.J.: Regional differences in overweight: an effect of people or place? Arch. Dis. Child., 2008, 93, 407-413. 19. Population. Size and structure by territorial division 2008. Central Statistical Office 2009: http://www.stat.gov.pl/ gus/5840_1863_plk_html.htm (access 2010.09.01). 20. Ekblom Ö.B., Oddsson K., Ekblom B.T.: Prevalence and regional differences in overweight in 2001 and trends in BMI distribution in Swedish children from 1987 to 2001. Scand. J. Public Health 2004, 32(4), 257-263. 21. Gross Domestic Product. Regional Accounts in 2007. Central Statistical Office 2009: http://www.stat.gov.pl/cps/ rde/xbcr/gus/publ_rn_pkb_rachunki_regionalne_w_2007. pdf (access 2010.07.07). 22. Liese A.D., Hirsch T., Mutius E., Weiland S.K.: Burden of overweight in Germany: prevalence differences between former East and West German children. Eur. J. Public Health 2006, 16(5), 526-531. 23. Apfelbacher C.J., Cairns J., Bruckner T., Möhrenschlager M., Behrendt H., Ring J., Krämer U.: Prevalence of overweight and obesity in East and West German children in the decade after reunification: population-based series of crosssectional studies. J. Epidemiol. Community Health 2008, 62(2), 125-130. 24. Fraser L.K., Edwards K.L.: The association between the geography of fast food outlets and childhood obesity rates in Leeds, UK. Health&Place 2010, http://www.sciencedirect.com/ science?_ob=articleurl&_udi=b6vh5-50kwg3x-1&_ user=1514857&_coverdate=07%2f23%2f2010&_rdoc=1&_ fmt=high&_orig=search&_origin=search&_sort=d&_ docanchor=&view=c&_acct=c000053432&_version=1&_

Regional differences in the prevalence of overweight, obesity and underweight among polish children and adolescents 265 urlversion=0&_userid=1514857&md5=c6ef95bfce 79b0022d79e2fe5b1324ba&searchtype=a (access 2010.09.03). 25. Potestio M.L., Patel A.B., Powell C.D., McNeil D.A., Jacobson R.D., McLaren L.: Is there an association between spatial access to parks/green space and childhood overweight/ obesity in Calgary, Canada? Int. J. Behav. Nutr. Phys. Act., 2009, 20, 6, 77. 26. Heywood I., Cornelius S., Carver S.: An introduction to Geographical Information System. Prentice Hall. 2 nd ed. United Kingdom, 2002. 27. Rezaeian M., Dunn G., St Leger S., Appleby L.: Geographical epidemiology, spatial analysis and geographical information systems: a multidisciplinary glossary. J. Epidemiol. Community Health 2007, 61, 98-102. Address for correspondence: Aneta Grajda Public Health Division, The Children s Memorial Health Institute Al. Dzieci Polskich 20, 04-730 Warsaw tel.: (+48 22) 815-11-45 zdrowie.publiczne@czd.pl http://olaf.czd.pl The OLAF Study Group Medical University of Białystok: Agnieszka Rybi-Szumińska, Michał Szumiński, Katarzyna Taranta-Janusz, Edyta Tenderenda, Anna Wasilewska; Regional Children s Hospital in Bydgoszcz: Beata Jasińska; Medical University of Gdańsk: Piotr Czarniak, Dominik Świętoń, Przemysław Szcześniak; Jagiellonian University Medical College in Kraków: Monika Miklaszewska, Anna Moczulska, Katarzyna Wilkosz, Katarzyna Zachwieja, Iwona Ogarek; Medical University of Lublin: Marek Majewski, Aleksandra Sobieszczańska-Droździel, Izabela Szlązak, Paweł Szlązak, Małgorzata Zajączkowska; Polish Mother s Memorial Hospital Research Institute in Łódź: Monika Pawlak-Bratkowska, Anna Półtorak-Krawczyk, Marcin Tkaczyk; District Hospital in Kędzierzyn-Koźle: Danuta Gmyrek; Poznan Medical University: Tomasz Krynicki, Jolanta Sołtysiak; Regional Children s Hospital in Toruń: Roman Stankiewicz, Sława Zbucka; The Children s Memorial Health Institute in Warszawa: Robert Pietruczuk, Agnieszka Różdżyńska, Jan Szpor, Anna Świąder; Wroclaw Medical University: Jacek Kleszczyński, Magdalena Naleśniak, Anna Wawro, Irena Wikiera- Magott, Danuta Zwolińska; Medical University of Silesia: Piotr Adamczyk, Tatiana Augustyn-Iwachów, Beata Banaszak, Omar Bjanid, Katarzyna Broll-Waśka, Aurelia Morawiec-Knysak.