Abstract
Objective. To review the extant literature on the prevalence of overweight and obesity in adolescents (10–19 years old) of both sexes. Design. The search was carried out using Medline and Scopus considering articles published from the establishment of the databanks until June 7, 2012. Data on the prevalence of children being overweight and obese from the International Obesity Task Force (IOTF) website was also reviewed. Only original articles and one National Health Report were considered. Forty studies met the inclusion criteria. Results. Twenty-five of these studies were nationally representative, and ten countries were represented only by regional data. Conclusions. The prevalence of overweight and obesity among adolescents worldwide is high, and obesity is higher among boys. The IOTF criterion is the most frequently used method to classify adolescents as overweighed or obese in public health research.
1. Introduction
The prevalence of overweight and obesity among children and adolescents has widely increased worldwide [1, 2], making it one of the most common chronic disorders in this age group and in adulthood.
The use of body mass index (BMI) for age to define being overweight and obese in children and adolescents is well established for both clinical and public health applications, because of their feasibility under clinical settings and in epidemiological studies [3, 4]. In children and adolescents, the natural increases in BMI that occur with age necessitate the use of age-sex-specific thresholds. The most widely used growth charts are the Centers for Disease Control and Prevention (CDC-2000) [5], the International Task Force (IOTF) [6], and the 2007 growth references for 5 to 19 year olds produced by the World Health Organization (WHO-2007) [7].
The CDC-2000 growth charts were developed to evaluate the nutritional status of US children and were originated from five cross-sectional representative surveys carried out in the US between 1963 and 1994. These growth charts are routinely applied to identify children and adolescents with a BMI greater than the 85th or 95th percentiles following the advice of the US Expert Committee on Childhood Obesity [8]. However, the appropriateness of an American dataset for defining overweight in young people from other countries is questionable [9].
The IOTF reference also uses age-sex-specific BMI percentiles, and overweight and obesity definition corresponds to an adult BMI of 25 and 30 kg/m2, respectively, and reflects values in children tracking to overweight and obesity in adults [6]. This reference is based on six large international cross-sectional representative datasets, identifying the BMI values that extrapolate to childhood.
The WHO-2007 growth references were created to replace the National Center for Health Statistics (NCHS) references [10, 11]. This reference was constructed using data from the 1977 NCHS/WHO growth reference (1 to 24 years old) merged with data from the 2006 WHO Child Growth Standards for preschool children (under 5 years of age) using state-of-the-art statistical methods [7].
Although valuable information has been appearing in the literature or online, such as works from the Health Behaviour of School-aged Children study which is mainly related to social determinants of health and well-being among young people [12], no systematic review has been conducted to understand the worldwide magnitude of the overweight and obesity problem among the adolescent population. Thus, the objective of this study was to systematically review the literature regarding the prevalence of overweight and obesity in adolescents (10–19 years old) of both sexes published in the past 12 academic years (1999–2011).
2. Methods
A systematic literature search was performed which ended on June 7, 2012 (see Figure 1). The literature search was conducted in Medline and Scopus using the following MeSH terms: “overweight”; “obesity”; “prevalence”; “adolescent”. In total, 2537 articles were selected. We also reviewed the data on the prevalence of childhood overweight and obesity on the International Obesity Task Force Website at http://www.iaso.org/iotf/. To find the articles included in this review, the following inclusion criteria were used: (1) cross-sectional studies conducted in the last 12 years (1999–2011)—when the original study did not report the survey year, it was not included; (2) national and regional representative samples, but articles published on the prevalence of overweight in towns, urban, or rural areas in a country were excluded; (3) weight and height objectively measured; (4) results presented by sex; (5) and for both overweight and obesity prevalence; (6) the definition of overweight and obesity using the (i) CDC-2000 [5], (ii) IOTF [6], and (iii) WHO-2007 [7] growth references; and (7) studies written in English, Spanish, Italian, or Portuguese. Moreover, if there were more than one national or regional study in the same country, the most recent one was included in the prevalence tables (except for USA [13] and Canada [14], countries in which the most recent data was not included in the tables due to differences in the representativeness of the samples [13] and the impossibility to calculate a single prevalence of overweight and obesity for adolescents' boys and girls [14]; however, no differences in prevalence were observed between studies as it has been indicated in the discussion). The final number of articles included in this review was 39 articles related to overweight and obesity and also a study on the latest statistics on the prevalence of overweight and obesity in South Africa [15].
Figure 1.

Flow diagram of study selection.
Potentially relevant papers were selected by (1) screening the titles; (2) screening the abstracts, and (3) if abstracts were not available or did not provide sufficient data, the entire article was retrieved and screened to determine whether it met the inclusion criteria. Full-text articles were assessed by 2 authors (M. M. Bibiloni and J. A. Tur). Any matter of doubt was discussed by at least two of the reviewers (M. M. Bibiloni, A. Pons, and J. A. Tur).
3. Results
3.1. Literature Search
A total of thirty-nine articles and a National Health Report were eligible according to the inclusion criteria established for this review. Table 1 presents a description of the forty studies selected for this review including the continent and the country where it was performed (and region for not national studies), year of publishing, total number of participants in the study, number of adolescents, age range, proportion of girls, and number and definition for overweight and obesity classification used. All the articles were published after the year of 2002. Nationally representative data were obtained in twenty-five countries (including Northern Ireland) [15–39], and ten countries were represented only by regional data [40, 42, 44, 45, 47, 50–54].
Table 1.
Descriptive analysis of the studies reviewed.
| Area | Continent | Country, region | Date of survey | Total n of study1 | Total n of adolescents1 | Age (years)/school grade | Proportion of girls | Number of definition | Definition | Reference |
|---|---|---|---|---|---|---|---|---|---|---|
| National | Africa | Seychelles | 2004 | 4,854 | 2,177 | 7th, 10th | 51.5% | 1 | IOTF | Bovet et al., 2006 [16] |
| South Africa | 2008 | 9,862 | 9,862 | 13–19 | 50.9% | 1 | IOTF | Reddy et al., 2010 [15] | ||
| Tunisia | 2004 | 2,872 | 2,872 | 15–19 | 54.9% | 1 | IOTF | Aounallah-Skhiri et al., 2008 [17] | ||
| America | Canada | 2004 | 8,661 | 4,099 | 12–17 | — | 3 | IOTF, CDC, WHO | Shields and Tremblay, 2010 [18] | |
| Mexico | 2006 | 48,304 | 13,219 | 12–18 | 50.7% | 1 | IOTF | Bonvecchio et al., 2009 [19] | ||
| USA | 2007 | 44,101 | 44,101 | 10–17 | — | 1 | CDC | Singh et al., 2010 [20] | ||
| Asia | Bahrain | 2000 | 506 | 506 | 12–17 | 50.8% | 1 | IOTF | Al-Sendi et al., 2003 [21] | |
| China | 2002 | 44,880 | 12,475 | 13–17 | 47.7% | 1 | IOTF | Li et al., 2008 [22] | ||
| Iran | 2003-04 | 21,111 | 16,035 | 10–18 | 51.3% | 2 | IOTF, CDC | Kelishadi et al., 2008 [23] | ||
| Israel | 2003-04 | 5,588 | 5,588 | 11–19 | 55.1% | 1 | CDC | Nitzan Kaluski et al., 2009 [24] | ||
| Jordan | 2009 | 5,640 | 637 | 13–18 | 55.7% | 1 | IOTF | Khader et al., 2011 [25] | ||
| Qatar | 2003-04 | 3,923 | 3,923 | 12–17 | 49.8% | 1 | IOTF | Bener, 2006 [26] | ||
| Saudi Arabia | 2005 | 19,317 | 7,251 | 13–18 | 49.2% | 2 | CDC, WHO | El Mouzan et al., 2010 [27] | ||
| Taiwan | 2003 | 72,789 | 58,424 | 10–18 | 49.0% | 1 | IOTF | Liou et al., 2009 [28] | ||
| United Arab Emirates | 2009-10 | 1,007 | 276 | 11–18 | — | 1 | IOTF | Ng et al., 2011 [29] | ||
| Europe | Cyprus | 1999-2000 | 2,467 | 1,694 | 10–17 | 50.7% | 1 | IOTF | Savva et al., 2002 [30] | |
| Czech Republic | 2005 | 1,417 | 957 | 11–17 | 49.4% | 1 | IOTF | Kunesova et al., 2007 [31] | ||
| Germany | 2008 | 40,622 | 5,623 | 12–16 | 46.7% | 1 | IOTF | Blüher et al., 2011 [32] | ||
| Greece | 2003 | 14,456 | 14,456 | 13–19 | 53.8% | 1 | IOTF | Tzotzas et al., 2008 [33] | ||
| Italy | 2002 | 4,386 | 4,386 | 11, 13, 15 | 51.6% | 1 | IOTF | Vieno et al., 2005 [34] | ||
| Republic of Ireland | 2003 | 17,499 | 7,294 | 11–16 | 50.6% | 1 | IOTF | Whelton et al., 2007 [35] | ||
| Northern Ireland | 2003 | 2,039 | 964 | 11–15 | 51.5% | 1 | IOTF | Whelton et al., 2007 [35] | ||
| Portugal | 2008 | 22,048 | 22,048 | 10–18 | 51.5% | 2 | IOTF, WHO | Sardinha et al., 2011 [36] | ||
| Sweden | 2001 | 1,732 | 1,732 | 10, 13, 16 | 48.3% | 1 | IOTF | Ekblom et al., 2004 [37] | ||
| Oceania | Australia | 2004 | 5,407 | 1,771 | 8th, 10th | 45.6% | 1 | IOTF | Booth et al., 2007 [38] | |
| New Zealand | 2007 | 8,796 | 8,796 | 13–17 | 45.4% | 2 | IOTF, WHO | Utter et al., 2010 [39] | ||
|
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| Regional | Africa | South Africa, Eastern Cape | 2008 | 926 | 926 | 13–19 | 52.1% | 1 | IOTF | Reddy et al., 2010 [15] |
| South Africa, Free State | 2008 | 1,236 | 1,236 | 13–19 | 49.1% | 1 | IOTF | Reddy et al., 2010 [15] | ||
| South Africa, Gauteng | 2008 | 931 | 931 | 13–19 | 52.1% | 1 | IOTF | Reddy et al., 2010 [15] | ||
| South Africa, KwaZulu-Natal | 2008 | 910 | 910 | 13–19 | 52.1% | 1 | IOTF | Reddy et al., 2010 [15] | ||
| South Africa, Limpopo | 2008 | 1,140 | 1,140 | 13–19 | 50.5% | 1 | IOTF | Reddy et al., 2010 [15] | ||
| South Africa, Mpumalanga | 2008 | 1,238 | 1,238 | 13–19 | 49.8% | 1 | IOTF | Reddy et al., 2010 [15] | ||
| South Africa, Northern Cape | 2008 | 1,088 | 1,088 | 13–19 | 48.6% | 1 | IOTF | Reddy et al., 2010 [15] | ||
| South Africa, North West | 2008 | 1,234 | 1,234 | 13–19 | 48.6% | 1 | IOTF | Reddy et al., 2010 [15] | ||
| South Africa, Western Cape | 2008 | 1,159 | 1,159 | 13–19 | 56.4% | 1 | IOTF | Reddy et al., 2010 [15] | ||
| America | USA, 52 Sates2 | 2007 | — | — | 10–17 | — | 1 | CDC | Singh et al., 2010 [20] | |
| Brazil, Pernambuco State | 2006 | 4,210 | 4,210 | 14–19 | 59.8% | 1 | IOTF | Tassitano et al., 2009 [40] | ||
| Asia | China, Hong Kong | 2003-04 | 2,098 | 2,098 | 11–18 | 53.2% | 2 | IOTF, CDC | Ko et al., 2008 [41] | |
| India, Manipur | 2005-06 | 3,356 | 3,356 | 12–19 | 56.2% | 1 | IOTF | Bishwalata et al., 2010 [42] | ||
| Jordan, Irbid Governorate | 2007 | 1,355 | 1,355 | 13–16 | 55.6% | 1 | CDC | Abu Baker and Daradkeh, 2010 [43] | ||
| Europe | Denmark, Greater Copenhagen area and 3 municipalities outside the Capital Region | 2007–09 | 7,541 | 7,541 | 14–16 | 50.1% | 1 | IOTF | Søren and Jo, 2010 [44] | |
| France, Aquitaine Region | 2004-05 | 2,385 | 2,385 | 11–18 | 49.1% | 1 | IOTF | Thibault et al., 2010 [45] | ||
| Greece, Crete | 2005-06 | 481 | 481 | 10–12 | 54.0% | 1 | IOTF | Manios et al., 2011 [46] | ||
| Hungary, Szeged and Szolnok regions | 2005-2006 | 14,290 | 14,290 | 11–16 | 48.1% | 1 | IOTF | Baráth et al., 2010 [47] | ||
| Italy, 5 residence regions3 | 2002 | 4,386 | 4,386 | 11–15 | 51.6% | 1 | IOTF | Vieno et al., 2005 [34] | ||
| Italy, Sardinia | 1999–2001 | 3,946 | 3,946 | 11–15 | 49.0% | 1 | IOTF | Velluzzi et al., 2007 [48] | ||
| Italy, Sicily | 1999–2001 | 48,897 | 48,897 | 11–15 | 50.7% | 1 | CDC | Baratta et al., 2006 [49] | ||
| Poland, Kujawsko-Pomorskie | 2005 | — | — | 13–15 | — | 1 | IOTF | Jodkowska et al., 2010 [50] | ||
| Poland, Lubuskie | 2005 | — | — | 13–15 | — | 1 | IOTF | Jodkowska et al., 2010 [50] | ||
| Poland, Malapolskie | 2005 | — | — | 13–15 | — | 1 | IOTF | Jodkowska et al., 2010 [50] | ||
| Poland, Podlaskie | 2005 | — | — | 13–15 | — | 1 | IOTF | Jodkowska et al., 2010 [50] | ||
| Poland, Pomorskie | 2005 | — | — | 13–15 | — | 1 | IOTF | Jodkowska et al., 2010 [50] | ||
| Spain, Balearic Islands | 2007-08 | 1,231 | 1,231 | 12–17 | 53.4% | 1 | WHO | Bibiloni et al., 2010 [51] | ||
| Spain, Grand Canary | 2004-05 | 1,002 | 1,002 | 12–14 | 50.0% | 1 | IOTF | Henríquez Sánchez et al., 2008 [52] | ||
| Switzerland, Canton of Vaud | 2005-06 | 5,207 | 5,207 | 10–14 | 49.7% | 2 | IOTF, CDC | Lasserre et al., 2007 [53] | ||
| Turkey, Edirne Province | 2001 | 989 | 989 | 12–17 | 48.1% | 1 | IOTF | Öner et al., 2004 [54] | ||
1Only subjects with anthropometric measurements were included in each country.
2There are 52 states in the USA, but no information about total number of subjects was included in each state.
3Vieno et al. [34] assessed the overall overweight and obesity prevalence among Italian adolescents, and also according to the geographic region: North-West, North-East, Center, South, and Islands, but no information about total number of subjects was included in each region.
IOTF: International Obesity Task Force; CDC: Center for Disease Control and Prevention; WHO: World Health Organization.
3.2. Prevalence and Criteria for Classification
Table 2 shows overweight and obesity prevalence from the twenty-five national studies (one of them including data from Northern Ireland) that were included in this review according to the continent and the country where it was performed, year of survey, study population, age range, criteria used for classifying overweight and obesity used, and along with total data by sex. There were thirty-two different prevalence levels described in the included articles, because five countries presented data using at least two different criteria for overweight and obesity classification [18, 23, 27, 36, 39]. The IOTF cut-off was used to classify overweight and obesity in twenty-three of the twenty-five national studies considered in the present review.
Table 2.
Description of overweight and obesity prevalence (%) along with total data by sex from each national study that was included in the review according to year of survey, study population, age range, and classification criteria used.
| Continent | Country | Date of survey | Study population | Age (years)/school grade | Criteria | Overweight (%) | Obesity (%) | Reference | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| All | Boys | Girls | All | Boys | Girls | |||||||
| Africa | Seychelles | 2004 | School-based survey | 7th, 10th | IOTF1 | 12.0 | 9.5 | 14.3 | 5.1 | 4.2 | 6.0 | Bovet et al., 2006 [16] |
| South Africa | 2008 | 2008 SA YRBS | 13–19 | IOTF1 | 14.4 | 7.9 | 20.6 | 5.3 | 3.3 | 7.2 | Reddy et al., 2010 [15] | |
| Tunisia | 2004 | Household-based survey | 15–19 | IOTF1 | 12.4 | 11.0 | 14.1 | 2.6 | 1.9 | 3.2 | Aounallah-Skhiri et al., 2008 [17] | |
|
| ||||||||||||
| America | Canada | 2004 | 2004 CCHS | 12–17 | IOTF1 | 19.8 | 21.2 | 18.4 | 9.4 | 11.1 | 7.4 | Shields and Tremblay, 2010 [18] |
| CDC-20002 | 15.9 | 17.0 | 14.7 | 12.1 | 14.3 | 9.6 | ||||||
| WHO-20073 | 20.8 | 21.9 | 19.6 | 12.4 | 15.1 | 9.4 | ||||||
| Mexico | 2006 | Household-based survey | 12–18 | IOTF1 | 21.2 | 20.1 | 22.3 | 8.9 | 9.2 | 8.6 | Bonvecchio et al., 2009 [19] | |
| USA | 2007 | 2007 NSCH | 10–17 | CDC-20002 | 15.2 | 15.3 | 15.2 | 16.4 | 19.2 | 13.5 | Singh et al., 2010 [20] | |
|
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| Asia | Bahrain | 2000 | School-based survey | 12–17 | IOTF1 | 20.0 | 15.3 | 24.5 | 16.4 | 14.9 | 17.9 | Al-Sendi et al., 2003 [21] |
| China | 2002 | 2002 CNNHS | 13–17 | IOTF1 | 4.6 | 4.6 | 4.6 | 0.6 | 0.7 | 0.5 | Li et al., 2008 [22] | |
| Iran | 2003-04 | CASPIAN Study | 10–18 | IOTF1 | 5.9 | 5.7 | 6.0 | 1.3 | 1.5 | 1.1 | Kelishadi et al., 2008 [23] | |
| CDC-20002 | 4.5 | 4.3 | 4.7 | 1.9 | 2.3 | 1.6 | ||||||
| Israel | 2003-04 | MABAT Youth Survey | 11–19 | CDC-20002 | 12.9 | 12.7 | 13.0 | 5.6 | 7.4 | 4.1 | Nitzan Kaluski et al., 2009 [24] | |
| Jordan | 2009 | Household-based survey | 13–18 | IOTF1 | 13.7 | 11.3 | 15.5 | 10.0 | 12.4 | 8.2 | Khader et al., 2011 [25] | |
| Qatar | 2003-04 | School-based survey | 12–17 | IOTF1 | 23.8 | 28.6 | 18.9 | 6.3 | 7.9 | 4.7 | Bener, 2006 [26] | |
| Saudi Arabia | 2005 | Household-based survey | 13–18 | CDC-20002 | 17.9 | 16.5 | 19.6 | 7.0 | 8.2 | 5.5 | El Mouzan et al., 2010 [27] | |
| WHO-20073 | 16.0 | 13.6 | 18.4 | 10.6 | 11.2 | 10.0 | ||||||
| Taiwan | 2003 | School-based survey | 10–18 | IOTF1 | 16.3 | 18.4 | 14.2 | 6.2 | 8.1 | 4.2 | Liou et al., 2009 [28] | |
| United Arab Emirates | 2009-10 | Household-based survey | 11–18 | IOTF1 | — | 16.2 | 20.5 | — | 11.7 | 19.7 | Ng et al., 2011 [29] | |
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| Europe | Cyprus | 1999-00 | School-based survey | 10–17 | IOTF1 | 18.9 | 21.3 | 16.5 | 5.8 | 7.1 | 4.5 | Savva et al., 2002 [30] |
| Czech Republic | 2005 | Lifestyle and Obesity Study | 6–17 | IOTF1 | 12.3 | 16.6 | 8.0 | 1.4 | 1.7 | 1.0 | Kunesova et al., 2007 [31] | |
| Germany | 2008 | CrescNet database | 12–16 | IOTF1 | 18.2 | 19.3 | 17.0 | 6.2 | 7.6 | 4.6 | Blüher et al., 2011 [32] | |
| Greece | 2003 | School-based survey | 13–19 | IOTF1 | 18.3 | 23.3 | 14.0 | 4.3 | 6.1 | 2.7 | Tzotzas et al., 2008 [33] | |
| Italy | 2002 | HBSC Study | 11, 13, 15 | IOTF1 | 15.6 | 20.9 | 10.6 | 2.3 | 3.5 | 1.2 | Vieno et al., 2005 [34] | |
| Republic of Ireland | 2003 | School-based survey | 11–16 | IOTF1 | 18.5 | 17.8 | 19.2 | 5.8 | 5.6 | 6.1 | Whelton et al., 2007 [35] | |
| Northern Ireland | 2003 | School-based survey | 11–15 | IOTF1 | 18.2 | 18.5 | 17.8 | 5.9 | 6.0 | 5.7 | Whelton et al., 2007 [35] | |
| Portugal | 2008 | School-based survey | 10–18 | IOTF1 | 17.4 | 17.7 | 17.0 | 5.2 | 5.8 | 4.6 | Sardinha et al., 2011 [36] | |
| WHO-2007 | 21.8 | 20.4 | 23.1 | 9.9 | 10.3 | 9.6 | ||||||
| Sweden | 2001 | School-based survey | 10, 13, 16 | IOTF1 | 15.8 | 14.6 | 16.9 | 4.4 | 5.0 | 3.6 | Ekblom et al., 2004 [37] | |
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| Oceania | Australia | 2004 | 2004 SPANS | 8th, 10th | IOTF1 | 17.9 | 19.4 | 16.2 | 5.3 | 6.7 | 3.6 | Booth et al., 2007 [38] |
| New Zealand | 2007 | Youth'07 Survey | 13–17 | IOTF1 | 24.0 | 23.3 | 24.7 | 10.2 | 10.8 | 9.5 | Utter et al., 2010 [39] | |
| WHO-2007 | 25.9 | 25.9 | 26.0 | 13.5 | 14.6 | 12.1 | ||||||
1Overweight and obesity, all adolescents with BMI-for-age ≥25 kg/m2 and <30 kg/m2 and ≥30 kg/m2, respectively, according to the IOTF [6].
2Overweight and obesity, all adolescents with BMI-for-age ≥P85th and <P95th and ≥P95th, respectively, according to the CDC [5].
3Overweight and obesity, all adolescents with BMI-for-age >+1SD and <+2SD and >+2SD, respectively, according to the WHO [7].
IOTF: International Obesity Task Force; CDC: Center for Disease Control and Prevention; WHO: World Health Organization; 2008 SA YRBS: 2008 South African National Youth Risk Behaviour; 2004 CCHS: 2004 Canadian Community Health Survey; 2007 NSCH: National Survey of Children's Health; 2002 CNNHS: 2002 China National Nutrition and Health Survey; CASPIAN Study: Childhood and Adolescence Surveillance and Prevention of Adult Non-communicable disease; HBSC: Health Behaviour in School-aged Children; 2004 SPANS: 2004 NSW Schools Physical Activity and Nutrition Survey.
There was a broad range of overweight and obesity prevalence noted. In general, the prevalence of overweight plus obesity was higher in America [18–20], Oceania [38, 39] and Europe [30–37] and lower in Africa [15–17] and certain parts of Asia [21–29] (in China [22] and Iran [23] the total prevalence was less than 10% by the IOTF cut-offs). Overall, about 30% of American adolescents and 22%–25% of European adolescents (excepting the Czech Republic and Italian adolescents' which showed a prevalence of 13.7% and 17.9%, resp.) were overweight or obese. Among Oceanian adolescents the prevalence ranged from 23.2% in Australia in 2004 to 34.2% in New Zealand in 2007. In Africa, the overall prevalence of overweight and obesity was lower than 20%. Among Asian adolescents there was a broad range of overweight plus obesity. Using IOTF cut-off, the prevalence of being overweight or obese for Asian boys and girls ranged from 5.2% in China in 2002 to 36.4% in Bahrain in 2000.
Table 3 shows regional data prevalence of overweight and obesity from fifteen countries. Specific prevalence from all the geographic regions was included in this review from three countries: South Africa (nine provinces) [15], USA (fifty two states) [20], and Italy (five regions) [34]. In Europe, data from islands of Greece (Crete) [46] and Italy (Sicily and Sardinia) [48, 49] and Spain (Balearic Islands' archipelago [51]; and the Grand Canary Island [52]) were also included. On the other hand, regional but not national data was found for eleven countries (Italy [34], Brazil [40], India [42], Jordan [43], Denmark [44], France [45], Hungary [47], Poland [48], Spain [51, 52], Switzerland [53], and Turkey [54]). The IOTF cut-off was used to classify overweight and obesity in fourteen of the eighteen selected studies that included regional data. In one study [51], data was presented using only the WHO-2007 growth charts and in two studies using only the CDC-2000 growth reference [20, 43].
Table 3.
Description of overweight and obesity prevalence (%) along with total data by sex from each regional study that was included in the review according to year of survey, study population, age range, and classification criteria used.
| Continent | Country, region | Date of survey | Study population | Age (years) | Criteria | Overweight (%) | Obesity (%) | Reference | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| All | Boys | Girls | All | Boys | Girls | |||||||
| Africa | South Africa, Eastern Cape | 2008 | 2008 SA YRBS | 13–19 | IOTF1 | 13.3 | 4.3 | 21.1 | 4.0 | 2.0 | 5.6 | Reddy et al., 2010 [15] |
| South Africa, Free State | 2008 | 2008 SA YRBS | 13–19 | IOTF1 | 11.6 | 8.1 | 15.1 | 4.7 | 3.7 | 5.7 | Reddy et al., 2010 [15] | |
| South Africa, Gauteng | 2008 | 2008 SA YRBS | 13–19 | IOTF1 | 12.7 | 10.0 | 15.4 | 9.7 | 8.4 | 11.0 | Reddy et al., 2010 [15] | |
| South Africa, KwaZulu-Natal | 2008 | 2008 SA YRBS | 13–19 | IOTF1 | 20.1 | 8.6 | 31.5 | 5.4 | 3.4 | 7.3 | Reddy et al., 2010 [15] | |
| South Africa, Limpopo | 2008 | 2008 SA YRBS | 13–19 | IOTF1 | 10.7 | 6.2 | 15.1 | 2.8 | 1.0 | 4.5 | Reddy et al., 2010 [15] | |
| South Africa, Mpumalanga | 2008 | 2008 SA YRBS | 13–19 | IOTF1 | 15.5 | 10.0 | 21.1 | 6.1 | 2.3 | 9.9 | Reddy et al., 2010 [15] | |
| South Africa, Northern Cape | 2008 | 2008 SA YRBS | 13–19 | IOTF1 | 12.9 | 7.3 | 18.3 | 5.0 | 4.4 | 5.6 | Reddy et al., 2010 [15] | |
| South Africa, North West | 2008 | 2008 SA YRBS | 13–19 | IOTF1 | 11.8 | 7.0 | 16.7 | 3.9 | 2.2 | 5.7 | Reddy et al., 2010 [15] | |
| South Africa, Western Cape | 2008 | 2008 SA YRBS | 13–19 | IOTF1 | 14.3 | 9.7 | 18.5 | 5.6 | 2.0 | 8.9 | Reddy et al., 2010 [15] | |
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| America | USA, Alaska | 2007 | 2007 NSCH | 10–17 | CDC-20002 | 19.8 | 22.7 | 16.7 | 14.1 | 14.6 | 13.7 | Singh et al., 2010 [20] |
| USA, Alabama | 2007 | 2007 NSCH | 10–17 | CDC-20002 | 18.2 | 17.6 | 18.9 | 17.9 | 24.4 | 10.9 | Singh et al., 2010 [20] | |
| USA, Arkansas | 2007 | 2007 NSCH | 10–17 | CDC-20002 | 17.1 | 15.0 | 19.2 | 20.4 | 27.2 | 13.2 | Singh et al., 2010 [20] | |
| USA, Arizona | 2007 | 2007 NSCH | 10–17 | CDC-20002 | 12.8 | 12.7 | 12.7 | 17.8 | 20.6 | 15.0 | Singh et al., 2010 [20] | |
| USA, California | 2007 | 2007 NSCH | 10–17 | CDC-20002 | 15.5 | 13.4 | 17.5 | 15.0 | 17.4 | 12.8 | Singh et al., 2010 [20] | |
| USA, Colorado | 2007 | 2007 NSCH | 10–17 | CDC-20002 | 13.0 | 17.5 | 8.5 | 14.2 | 17.5 | 10.7 | Singh et al., 2010 [20] | |
| USA, Connecticut | 2007 | 2007 NSCH | 10–17 | CDC-20002 | 13.2 | 14.7 | 11.7 | 12.5 | 14.8 | 10.2 | Singh et al., 2010 [20] | |
| USA, Washington, DC | 2007 | 2007 NSCH | 10–17 | CDC-20002 | 15.2 | 11.6 | 18.7 | 20.2 | 22.2 | 18.2 | Singh et al., 2010 [20] | |
| USA, Delaware | 2007 | 2007 NSCH | 10–17 | CDC-20002 | 19.9 | 22.0 | 17.8 | 13.3 | 12.2 | 14.4 | Singh et al., 2010 [20] | |
| USA, Florida | 2007 | 2007 NSCH | 10–17 | CDC-20002 | 14.8 | 12.7 | 17.1 | 18.3 | 21.5 | 15.0 | Singh et al., 2010 [20] | |
| USA, Georgia | 2007 | 2007 NSCH | 10–17 | CDC-20002 | 16.0 | 14.4 | 17.7 | 21.3 | 24.7 | 17.7 | Singh et al., 2010 [20] | |
| USA, Hawaii | 2007 | 2007 NSCH | 10–17 | CDC-20002 | 17.3 | 17.5 | 17.1 | 11.2 | 15.0 | 7.1 | Singh et al., 2010 [20] | |
| USA, Iowa | 2007 | 2007 NSCH | 10–17 | CDC-20002 | 15.3 | 14.8 | 15.9 | 11.2 | 11.3 | 11.0 | Singh et al., 2010 [20] | |
| USA, Idaho | 2007 | 2007 NSCH | 10–17 | CDC-20002 | 15.7 | 14.4 | 17.2 | 11.8 | 16.4 | 6.8 | Singh et al., 2010 [20] | |
| USA, Illinois | 2007 | 2007 NSCH | 10–17 | CDC-20002 | 14.2 | 12.1 | 16.4 | 20.7 | 25.0 | 16.3 | Singh et al., 2010 [20] | |
| USA, Indiana | 2007 | 2007 NSCH | 10–17 | CDC-20002 | 15.2 | 11.5 | 19.3 | 14.7 | 17.4 | 11.7 | Singh et al., 2010 [20] | |
| USA, Kansas | 2007 | 2007 NSCH | 10–17 | CDC-20002 | 14.9 | 16.0 | 13.7 | 16.2 | 16.2 | 16.3 | Singh et al., 2010 [20] | |
| USA, Kentucky | 2007 | 2007 NSCH | 10–17 | CDC-20002 | 16.1 | 17.7 | 14.6 | 21.0 | 22.5 | 19.4 | Singh et al., 2010 [20] | |
| USA, Louisiana | 2007 | 2007 NSCH | 10–17 | CDC-20002 | 15.2 | 15.5 | 14.9 | 20.7 | 23.1 | 18.1 | Singh et al., 2010 [20] | |
| USA, Massachusetts | 2007 | 2007 NSCH | 10–17 | CDC-20002 | 16.7 | 18.2 | 15.4 | 13.3 | 16.1 | 10.5 | Singh et al., 2010 [20] | |
| USA, Maryland | 2007 | 2007 NSCH | 10–17 | CDC-20002 | 15.2 | 19.1 | 11.1 | 13.6 | 17.0 | 9.9 | Singh et al., 2010 [20] | |
| USA, Maine | 2007 | 2007 NSCH | 10–17 | CDC-20002 | 15.3 | 15.6 | 14.9 | 12.9 | 16.0 | 9.8 | Singh et al., 2010 [20] | |
| USA, Michigan | 2007 | 2007 NSCH | 10–17 | CDC-20002 | 18.1 | 20.4 | 15.8 | 12.5 | 14.3 | 10.5 | Singh et al., 2010 [20] | |
| USA, Minnesota | 2007 | 2007 NSCH | 10–17 | CDC-20002 | 12.0 | 12.1 | 11.8 | 11.1 | 14.3 | 7.6 | Singh et al., 2010 [20] | |
| USA, Missouri | 2007 | 2007 NSCH | 10–17 | CDC-20002 | 17.4 | 16.9 | 17.8 | 13.6 | 15.5 | 11.6 | Singh et al., 2010 [20] | |
| USA, Mississippi | 2007 | 2007 NSCH | 10–17 | CDC-20002 | 22.6 | 21.6 | 23.5 | 21.9 | 25.5 | 18.5 | Singh et al., 2010 [20] | |
| USA, Montana | 2007 | 2007 NSCH | 10–17 | CDC-20002 | 13.8 | 15.0 | 12.5 | 11.8 | 16.6 | 6.6 | Singh et al., 2010 [20] | |
| USA, North Carolina | 2007 | 2007 NSCH | 10–17 | CDC-20002 | 14.9 | 13.9 | 16.0 | 18.6 | 19.3 | 17.9 | Singh et al., 2010 [20] | |
| USA, North Dakota | 2007 | 2007 NSCH | 10–17 | CDC-20002 | 14.3 | 16.9 | 11.6 | 11.4 | 15.7 | 7.0 | Singh et al., 2010 [20] | |
| USA, Nebraska | 2007 | 2007 NSCH | 10–17 | CDC-20002 | 15.7 | 13.9 | 17.5 | 15.8 | 23.0 | 8.1 | Singh et al., 2010 [20] | |
| USA, New Hampshire | 2007 | 2007 NSCH | 10–17 | CDC-20002 | 16.6 | 17.1 | 16.2 | 12.8 | 16.3 | 8.8 | Singh et al., 2010 [20] | |
| USA, New Jersey | 2007 | 2007 NSCH | 10–17 | CDC-20002 | 15.6 | 17.3 | 13.8 | 15.4 | 18.6 | 11.7 | Singh et al., 2010 [20] | |
| USA, New Mexico | 2007 | 2007 NSCH | 10–17 | CDC-20002 | 16.7 | 15.3 | 18.1 | 16.0 | 20.4 | 11.4 | Singh et al., 2010 [20] | |
| USA, Nevada | 2007 | 2007 NSCH | 10–17 | CDC-20002 | 19.0 | 21.9 | 16.0 | 15.2 | 19.4 | 10.8 | Singh et al., 2010 [20] | |
| USA, New York | 2007 | 2007 NSCH | 10–17 | CDC-20002 | 15.8 | 15.1 | 16.5 | 17.1 | 20.3 | 13.8 | Singh et al., 2010 [20] | |
| USA, Ohio | 2007 | 2007 NSCH | 10–17 | CDC-20002 | 14.8 | 18.7 | 10.9 | 18.5 | 22.9 | 14.2 | Singh et al., 2010 [20] | |
| USA, Oklahoma | 2007 | 2007 NSCH | 10–17 | CDC-20002 | 13.2 | 18.1 | 8.2 | 16.4 | 17.4 | 15.4 | Singh et al., 2010 [20] | |
| USA, Oregon | 2007 | 2007 NSCH | 10–17 | CDC-20002 | 14.7 | 16.2 | 13.3 | 9.6 | 11.0 | 8.2 | Singh et al., 2010 [20] | |
| USA, Pennsylvania | 2007 | 2007 NSCH | 10–17 | CDC-20002 | 14.7 | 15.5 | 13.7 | 15.0 | 21.0 | 8.4 | Singh et al., 2010 [20] | |
| USA, Rhode Island | 2007 | 2007 NSCH | 10–17 | CDC-20002 | 15.7 | 15.5 | 16.0 | 14.4 | 18.2 | 10.5 | Singh et al., 2010 [20] | |
| USA, South Carolina | 2007 | 2007 NSCH | 10–17 | CDC-20002 | 18.5 | 20.8 | 15.9 | 15.3 | 18.4 | 12.0 | Singh et al., 2010 [20] | |
| USA, South Dakota | 2007 | 2007 NSCH | 10–17 | CDC-20002 | 15.2 | 17.3 | 13.0 | 13.2 | 16.0 | 10.2 | Singh et al., 2010 [20] | |
| USA, Tennessee | 2007 | 2007 NSCH | 10–17 | CDC-20002 | 15.9 | 14.5 | 17.3 | 20.6 | 23.3 | 17.9 | Singh et al., 2010 [20] | |
| USA, Texas | 2007 | 2007 NSCH | 10–17 | CDC-20002 | 11.8 | 11.0 | 12.6 | 20.4 | 20.6 | 20.2 | Singh et al., 2010 [20] | |
| USA, Utah | 2007 | 2007 NSCH | 10–17 | CDC-20002 | 11.7 | 12.1 | 11.2 | 11.4 | 14.7 | 7.9 | Singh et al., 2010 [20] | |
| USA, Virginia | 2007 | 2007 NSCH | 10–17 | CDC-20002 | 15.8 | 16.1 | 15.4 | 15.2 | 16.6 | 13.9 | Singh et al., 2010 [20] | |
| USA, Vermont | 2007 | 2007 NSCH | 10–17 | CDC-20002 | 13.8 | 16.4 | 11.1 | 12.9 | 17.0 | 8.4 | Singh et al., 2010 [20] | |
| USA, Washington | 2007 | 2007 NSCH | 10–17 | CDC-20002 | 18.4 | 21.9 | 14.7 | 11.1 | 14.7 | 7.3 | Singh et al., 2010 [20] | |
| USA, Wisconsin | 2007 | 2007 NSCH | 10–17 | CDC-20002 | 14.8 | 17.3 | 12.2 | 13.1 | 15.6 | 10.5 | Singh et al., 2010 [20] | |
| USA, West Virginia | 2007 | 2007 NSCH | 10–17 | CDC-20002 | 16.6 | 16.9 | 16.4 | 18.9 | 21.8 | 15.7 | Singh et al., 2010 [20] | |
| USA, Wyoming | 2007 | 2007 NSCH | 10–17 | CDC-20002 | 15.5 | 16.6 | 14.2 | 10.2 | 14.1 | 5.5 | Singh et al., 2010 [20] | |
| Brazil, Pernambuco State | 2006 | GSHS | 14–19 | IOTF1 | 11.5 | 11.3 | 11.6 | 2.4 | 2.0 | 2.8 | Tassitano et al., 2009 [40] | |
|
| ||||||||||||
| Asia | China, Hong Kong | 2003-04 | School-based survey | 11–18 | IOTF1 | 7.1 | 9.6 | 4.9 | 2.8 | 3.9 | 1.8 | Ko et al., 2008 [41] |
| CDC-20002 | 8.3 | 11.3 | 5.8 | 4.1 | 6.0 | 2.4 | ||||||
| India, Manipur | 2005-06 | School-based survey | 12–19 | IOTF1 | 4.4 | 4.1 | 4.7 | 0.7 | 1.0 | 0.4 | Bishwalata et al., 2010 [42] | |
| Jordan, Irbid Governorate | 2007 | School-based survey | 13–16 | CDC-20002 | 15.7 | 11.8 | 18.9 | 8.7 | 12.3 | 5.8 | Abu Baker and Daradkeh, 2010 [43] | |
|
| ||||||||||||
| Europe | Denmark, Greater Copenhagen area and 3 municipalities outside the Capital Region | 2007–09 | School-based survey | 14–16 | IOTF1 | 14.0 | 15.2 | 12.9 | 11.2 | 14.1 | 8.2 | Søren and Jo, 2010 [44] |
| France, Aquitaine Region | 2004-05 | School-based survey | 11–18 | IOTF1 | 11.7 | 13.3 | 10.1 | 1.9 | 2.4 | 1.4 | Thibault et al., 2010 [45] | |
| Greece, Crete | 2005-06 | School-based survey | 10–12 | IOTF1 | 28.0 | 30.0 | 27.0 | 13.0 | 15.0 | 10.0 | Manios et al., 2011 [46] | |
| Hungary, Szeged and Szolnok regions | 2005-06 | School-based survey | 11–16 | IOTF1 | 16.8 | 17.9 | 15.7 | 6.6 | 7.9 | 5.2 | Baráth et al., 2010 [47] | |
| Italy, North-West | 2002 | HBSC Study | 11, 13, 16 | IOTF1 | — | 18.3 | 7.1 | — | 2.5 | 1.1 | Vieno et al., 2005 [34] | |
| Italy, North-East | 2002 | HBSC Study | 11, 13, 16 | IOTF1 | — | 16.5 | 11.7 | — | 0.8 | 1.5 | Vieno et al., 2005 [34] | |
| Italy, Center | 2002 | HBSC Study | 11, 13, 16 | IOTF1 | — | 20.7 | 11.2 | — | 3.9 | 2.5 | Vieno et al., 2005 [34] | |
| Italy, South | 2002 | HBSC Study | 11, 13, 16 | IOTF1 | — | 25.7 | 15.7 | — | 4.4 | 0.9 | Vieno et al., 2005 [34] | |
| Italy, Islands | 2002 | HBSC Study | 11, 13, 16 | IOTF1 | — | 31.3 | 10.4 | — | 7.6 | 0.8 | Vieno et al., 2005 [34] | |
| Italy, Sardinia | 1999–2001 | School-based survey | 11–15 | IOTF1 | 14.9 | 15.4 | 14.6 | 3.7 | 5.1 | 3.2 | Velluzzi et al., 2007 [48] | |
| Italy, Sicily | 1999–2001 | Public school-based survey | 11–15 | CDC-20002 | 18.3 | 18.8 | 17.8 | 11.8 | 15.1 | 8.5 | Baratta et al., 2006 [49] | |
| Poland, Kujawsko-Pomorskie | 2005 | School based survey | 13–15 | IOTF1 | 10.7 | 12.0 | 9.5 | 1.4 | 1.6 | 1.3 | Jodkowska et al., 2010 [50] | |
| Poland, Lubuskie | 2005 | School based survey | 13–15 | IOTF1 | 11.1 | 12.2 | 10.1 | 3.0 | 2.5 | 3.5 | Jodkowska et al., 2010 [50] | |
| Poland, Malapolskie | 2005 | School based survey | 13–15 | IOTF1 | 12.7 | 12.8 | 12.6 | 1.6 | 1.9 | 1.3 | Jodkowska et al., 2010 [50] | |
| Poland, Podlaskie | 2005 | School based survey | 13–15 | IOTF1 | 13.9 | 14.5 | 13.3 | 2.8 | 3.1 | 2.6 | Jodkowska et al., 2010 [50] | |
| Poland, Pomorskie | 2005 | School based survey | 13–15 | IOTF1 | 13.7 | 13.4 | 13.9 | 2.1 | 2.0 | 2.2 | Jodkowska et al., 2010 [50] | |
| Spain, Balearic Islands | 2007-08 | School-based survey | 12–17 | WHO-20073 | 17.5 | 19.9 | 15.5 | 10.4 | 12.7 | 8.5 | Bibiloni et al., 2010 [51] | |
| Spain, Grand Canary | 2004-05 | School-based survey | 12–14 | IOTF1 | 21.6 | 21.0 | 22.2 | 7.5 | 7.8 | 7.2 | Henríquez Sánchez et al., 2008 [52] | |
| Switzerland, Canton of Vaud | 2005-06 | Public school-based survey | 10–14 | IOTF1 | 12.0 | 13.2 | 10.7 | 1.7 | 1.8 | 1.7 | Lasserre et al., 2007 [53] | |
| CDC-20002 | 10.7 | 11.9 | 9.4 | 3.6 | 4.2 | 3.0 | ||||||
| Turkey, Edirne Province | 2001 | Two school-based surveys | 12–17 | IOTF1 | 10.9 | 11.3 | 10.6 | 1.9 | 1.6 | 2.1 | Öner et al., 2004 [54] | |
1Overweight and obesity, all adolescents with BMI-for-age ≥25 kg/m2 and <30 kg/m2 and ≥30 kg/m2, respectively, according to the IOTF [6].
2Overweight and obesity, all adolescents with BMI-for-age ≥P85th and <P95th and ≥P95th, respectively, according to the CDC [5].
3Overweight and obesity, all adolescents with BMI-for-age ≥P85th and <P95th and ≥P97th, respectively, according to the WHO [7].
IOTF: International Obesity Task Force; CDC: Center for Disease Control and Prevention; WHO: World Health Organization; 2008 SA YRBS: 2008 South African National Youth Risk Behaviour; 2007 NSCH: National Survey of Children's Health; GSHS: Global School Based Student Health Survey; HBSC: Health Behaviour in School-aged Children.
In South Africa and USA, substantial geographic variations in adolescent overweight and obesity existed. In 2008, overweight and obesity prevalence varied in South Africa from 13.5% in Limpopo to 25.5% in KwaZulu-Natal. In 2007, overweight and obesity varied in USA from 23.1% in Utah and Minnesota to 44.5% in Mississippi. In 2002, the prevalence of overweight and obesity in Southern Italy and Italian islands was higher among boys. In Southern Italy, the overweight prevalence among girls also was higher than in the other geographic regions.
Comparison between the islands from Greece (Crete), Italy (Sicily and Sardinia), and Spain (Balearic Islands and Grand Canary Island) which were included in this review showed that Crete had the highest prevalence of overweight and obesity—despite data were presented using different definition. In Spain, using the IOTF cut-off (data not shown for Balearic Islands but given by authors), the prevalence of overweight plus obesity was higher in the Grand Canary Island (29.1%) than in the Balearic Islands (24.7%).
3.3. Gender Differences
According to national data, the prevalence of overweight among boys was ≥10% higher than girls in nine countries (Canada [18], Qatar [26], Taiwan [28], Cyprus [30], Czech Republic [31], Germany [32], Greece [33], Italy [34], Australia [38], Denmark [44], and Hungary [47]) and among girls ≥10% higher than boys in seven of the twenty-five countries (South Africa [15], Seychelles [16], Tunisia [17], Mexico [19], Bahrain [21], Saudi Arabia [27], and Sweden [37]). The obesity prevalence was ≥10% higher among boys in seventeen countries (Canada [18], USA [20], China [22], Iran [23], Israel [24], Qatar [26], Saudi Arabia [27], Taiwan [28], Cyprus [30], Czech Republic [31], Germany [32], Greece [33], Italy [34], Portugal [36], Sweden [37], Australia [38], New Zealand [39], Denmark [44], and Hungary [47]) and ≥10% higher among girls in four of the twenty-five countries (South Africa [14], Seychelles [16], Tunisia [17], and Bahrain [21]).
4. Discussion
The aim of this study was to review systematically the literature on overweight and obesity prevalence among adolescents worldwide. Thirty-nine articles and one National Health Report that met the inclusion criteria were considered. The overweight and obesity prevalence in the included studies ranged widely. In sixteen of the twenty-three countries with national representative data using the IOTF cut-off, overweight and obesity prevalence higher than 20% were found, five countries showed prevalence above 30%, and just in two countries prevalence was lower than 10%.
Regarding national data, when prevalence was analysed according to sex, it was observed that boys showed a higher prevalence of overweight in almost half of the countries and a higher prevalence of obesity in almost all countries. These results are consistent with previous studies that pointed out a high prevalence of abdominal obesity among boys [55]. Differences of prevalence of overweight and obesity between genders have been related to geopolitical and cultural conditions [55].
Eight articles compared data between 1980s and/or 1990s with 2000s [16, 19, 20, 22, 28, 32, 37, 50] and pointed out an increased prevalence of overweight and obesity in both sexes over this period. However, among Australian adolescents [38] the overweight and obesity prevalence increased significantly among boys but not among girls over the period 1997–2004. In the Australian National Children's Nutrition and Physical Activity Survey 2007 (NCNPAS07) [14], 25% of boys and 30% of girls aged 9- to 13-year-olds and 25% of boys and 23% of girls aged 14- to 16-year-olds were overweight or obese using the IOTF criteria. A comparison of the 1985, 1995, and 2007 Australian national surveys of 7- to 15-year-olds indicated that Australian children are changing body shape to a more central fat distribution [14]. In USA, overweight and obesity prevalence among adolescents increased 4% in 2003 and 10% in 2007. Overweight and obesity prevalence increased by 3% and 18% among USA girls over this period. However, a cross-sectional analyses of a representative sample (n = 4111) of the USA child and adolescent population (birth through 19 years of age) with data from the National Health and Nutrition Examination Survey 2009-10 (NHANES) indicated a prevalence of overweight and obesity among adolescents aged 12 through 19 years of 15.2% and 18.4%, respectively. Analyses of trends in obesity prevalence for the last two NHANES surveys (2007-08 and 2009-10) indicated that the prevalence of obesity in children and adolescents has not changed in 2009-10 compared with 2007-08 [13]. On the other hand, since 2004 the overweight and obesity trends were stabilized or decreased among German adolescents [32].
In USA, substantial geographic disparities in adolescent overweight and obesity were found, with an apparent shift toward higher prevalence in 2007 for several states [20]. Generally, overweight and obesity prevalence was also higher in southern USA in 2007. Lobstein et al. [56] reported that children in Northern Europe countries generally tended to have lower overweight and obesity prevalence (10–20%) than in Southern Europe (20–35%). Also within the same country, the prevalence and trends of overweight and obesity may not be homogeneous according to different geographic regions [57]. In Italy, a north-south gradient in overweight and obesity prevalence among boys but also in overweight prevalence among girls was also reported [34]. A higher prevalence of overweight and obesity has been reported in Southern Spain in both children [58] and adults [59].
It is important to note that the choice of a reference and a cut-off point will determine the absolute prevalence of overweight and obesity and its trends, and hence different information will be obtained from the papers [60]. The IOTF classification for adolescent overweight and obesity [6] is the most frequently used. Cole et al. [6] argued that the reference they published, supported by the IOTF, is less arbitrary and more international than others and recommended its use in international comparisons. Lately, Monasta et al. [61] suggested that the IOTF reference and cut-offs could be preferable to identify overweight and obesity both at individual and population levels because they are at least based on a crude association with ill and health later in life, namely, the definition of overweight and obesity at age 18 years. However, the IOTF cut-offs have been not recommended for clinical use when assessing an individual child's growth [9, 62–64]. Furthermore, recent findings suggested that a universal BMI classification system for childhood and adolescent overweight and obesity may not correspond to a comparable level of body fatness in all populations [9]. The prevalence estimates may not accurately characterize the population groups most at risk of health disadvantages because the correlation of BMI with adiposity is highly variable and dependent on ethnic group [9, 60, 65, 66].
5. Limitations of the Study
The comparisons of overweight and obesity prevalence need interpretation with caution due to the difference in survey sampling methods, sample sizes, age range of subjects, quality of data in terms of height and weight measurement, and whether national programmes or strategies to tackle overweight and obesity are in place [57]. Even within the same country, the prevalence and trends of overweight and obesity may not be homogenous in view of different ethnicities, geographic regions, and socioeconomic status [57]. Only articles in English, Spanish, Italian, and Portuguese were included in this review.
6. Conclusions
The results of this review allow the following conclusions: (1) overweight and obesity prevalence is high; (2) obesity is higher among boys, although it is not clear which sex has a higher proportion of adolescents with overweight; (3) despite that there is no consensus about criteria to be used to classify adolescents as overweighed or obese, the most frequently used was the IOTF reference [6]. However, the international reference charts for monitoring the secular trends in childhood obesity need to be continually refined and evaluated [56]. The results of this study would contribute to guiding health planners and administrators to develop proper tools for adolescent obesity management.
Conflict of Interests
The authors state that there is no conflict of interests.
Authors' Contribution
Maria del Mar Bibiloni and Josep A. Tur contributed to the design of the strategy for the literature search and double screened and selected the retrieved documents. Antoni Pons provided previous literature searches and analysis. Maria del Mar Bibiloni and Josep A. Tur prepared the main outline of the paper and all authors contributed to the preparation of the paper.
Acknowledgments
The authors would like to thank the Spanish Ministry of Health and Consumption Affairs (Programme of Promotion of Biomedical Research and Health Sciences, Projects 05/1276 and 08/1259, and Red Predimed-RETIC RD06/0045/1004 and CIBERobn CB12/03/30038), Grant of support to research groups no. 35/2011 (Balearic Islands Government and EU FEDER funds), Spanish Ministry of Education and Science (FPU Programme, PhD fellowship to M.M.B.). The Research Group on Community Nutrition and Oxidative Stress, University of Balearic Islands belongs to the Centre Català de la Nutrició (IEC).
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