Literature DB >> 24555142

Prevalence of overweight and obesity in adolescents: a systematic review.

Maria Del Mar Bibiloni1, Antoni Pons1, Josep A Tur1.   

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.

Entities:  

Year:  2013        PMID: 24555142      PMCID: PMC3901970          DOI: 10.1155/2013/392747

Source DB:  PubMed          Journal:  ISRN Obes        ISSN: 2090-9446


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.

AreaContinentCountry, regionDate of surveyTotal n of study1 Total n of adolescents1 Age (years)/school gradeProportion of girlsNumber of definitionDefinitionReference
NationalAfricaSeychelles20044,8542,1777th, 10th51.5%1IOTFBovet et al., 2006 [16]
South Africa20089,8629,86213–1950.9%1IOTFReddy et al., 2010 [15]
Tunisia20042,8722,87215–1954.9%1IOTFAounallah-Skhiri et al., 2008 [17]
AmericaCanada20048,6614,09912–173IOTF, CDC, WHOShields and Tremblay, 2010 [18]
Mexico200648,30413,21912–1850.7%1IOTFBonvecchio et al., 2009 [19]
USA200744,10144,10110–171CDCSingh et al., 2010 [20]
AsiaBahrain200050650612–1750.8%1IOTFAl-Sendi et al., 2003 [21]
China200244,88012,47513–1747.7%1IOTFLi et al., 2008 [22]
Iran2003-0421,11116,03510–1851.3%2IOTF, CDCKelishadi et al., 2008 [23]
Israel2003-045,5885,58811–1955.1%1CDCNitzan Kaluski et al., 2009 [24]
Jordan20095,64063713–1855.7%1IOTFKhader et al., 2011 [25]
Qatar2003-043,9233,92312–1749.8%1IOTFBener, 2006 [26]
Saudi Arabia200519,3177,25113–1849.2%2CDC, WHOEl Mouzan et al., 2010 [27]
Taiwan200372,78958,42410–1849.0%1IOTFLiou et al., 2009 [28]
United Arab Emirates2009-101,00727611–181IOTFNg et al., 2011 [29]
EuropeCyprus1999-20002,4671,69410–1750.7%1IOTFSavva et al., 2002 [30]
Czech Republic20051,41795711–1749.4%1IOTFKunesova et al., 2007 [31]
Germany200840,6225,62312–1646.7%1IOTFBlüher et al., 2011 [32]
Greece200314,45614,45613–1953.8%1IOTFTzotzas et al., 2008 [33]
Italy20024,3864,38611, 13, 1551.6%1IOTFVieno et al., 2005 [34]
Republic of Ireland200317,4997,29411–1650.6%1IOTFWhelton et al., 2007 [35]
Northern Ireland20032,03996411–1551.5%1IOTFWhelton et al., 2007 [35]
Portugal200822,04822,04810–1851.5%2IOTF, WHOSardinha et al., 2011 [36]
Sweden20011,7321,73210, 13, 1648.3%1IOTFEkblom et al., 2004 [37]
OceaniaAustralia20045,4071,7718th, 10th45.6%1IOTFBooth et al., 2007 [38]
New Zealand20078,7968,79613–1745.4%2IOTF, WHOUtter et al., 2010 [39]

RegionalAfricaSouth Africa, Eastern Cape200892692613–1952.1%1IOTFReddy et al., 2010 [15]
South Africa, Free State20081,2361,23613–1949.1%1IOTFReddy et al., 2010 [15]
South Africa, Gauteng200893193113–1952.1%1IOTFReddy et al., 2010 [15]
South Africa, KwaZulu-Natal200891091013–1952.1%1IOTFReddy et al., 2010 [15]
South Africa, Limpopo20081,1401,14013–1950.5%1IOTFReddy et al., 2010 [15]
South Africa, Mpumalanga20081,2381,23813–1949.8%1IOTFReddy et al., 2010 [15]
South Africa, Northern Cape20081,0881,08813–1948.6%1IOTFReddy et al., 2010 [15]
South Africa, North West20081,2341,23413–1948.6%1IOTFReddy et al., 2010 [15]
South Africa, Western Cape20081,1591,15913–1956.4%1IOTFReddy et al., 2010 [15]
AmericaUSA, 52 Sates2 200710–171CDCSingh et al., 2010 [20]
Brazil, Pernambuco State20064,2104,21014–1959.8%1IOTFTassitano et al., 2009 [40]
AsiaChina, Hong Kong2003-042,0982,09811–1853.2%2IOTF, CDCKo et al., 2008 [41]
India, Manipur2005-063,3563,35612–1956.2%1IOTFBishwalata et al., 2010 [42]
Jordan, Irbid Governorate20071,3551,35513–1655.6%1CDCAbu Baker and Daradkeh, 2010 [43]
EuropeDenmark, Greater Copenhagen area and 3 municipalities outside the Capital Region2007–097,5417,54114–1650.1%1IOTFSøren and Jo, 2010 [44]
France, Aquitaine Region2004-052,3852,38511–1849.1%1IOTFThibault et al., 2010 [45]
Greece, Crete2005-0648148110–1254.0%1IOTFManios et al., 2011 [46]
Hungary, Szeged and Szolnok regions2005-200614,29014,29011–1648.1%1IOTFBaráth et al., 2010 [47]
Italy, 5 residence regions3 20024,3864,38611–1551.6%1IOTFVieno et al., 2005 [34]
Italy, Sardinia1999–20013,9463,94611–1549.0%1IOTFVelluzzi et al., 2007 [48]
Italy, Sicily1999–200148,89748,89711–1550.7%1CDCBaratta et al., 2006 [49]
Poland, Kujawsko-Pomorskie200513–151IOTFJodkowska et al., 2010 [50]
Poland, Lubuskie200513–151IOTFJodkowska et al., 2010 [50]
Poland, Malapolskie200513–151IOTFJodkowska et al., 2010 [50]
Poland, Podlaskie200513–151IOTFJodkowska et al., 2010 [50]
Poland, Pomorskie200513–151IOTFJodkowska et al., 2010 [50]
Spain, Balearic Islands2007-081,2311,23112–1753.4%1WHOBibiloni et al., 2010 [51]
Spain, Grand Canary2004-051,0021,00212–1450.0%1IOTFHenríquez Sánchez et al., 2008 [52]
Switzerland, Canton of Vaud2005-065,2075,20710–1449.7%2IOTF, CDCLasserre et al., 2007 [53]
Turkey, Edirne Province200198998912–1748.1%1IOTFÖner 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.

ContinentCountryDate of surveyStudy populationAge (years)/school gradeCriteriaOverweight (%)Obesity (%)Reference
AllBoysGirlsAllBoysGirls
AfricaSeychelles2004School-based survey7th, 10thIOTF1 12.09.514.35.14.26.0Bovet et al., 2006 [16]
South Africa20082008 SA YRBS13–19IOTF1 14.47.920.65.33.37.2Reddy et al., 2010 [15]
Tunisia2004Household-based survey15–19IOTF1 12.411.014.12.61.93.2Aounallah-Skhiri et al., 2008 [17]

AmericaCanada20042004 CCHS12–17IOTF1 19.821.218.49.411.17.4 Shields and Tremblay, 2010 [18]
CDC-20002 15.917.014.712.114.39.6
WHO-20073 20.821.919.612.415.19.4
Mexico2006Household-based survey 12–18IOTF1 21.220.122.38.99.28.6Bonvecchio et al., 2009 [19]
USA20072007 NSCH10–17CDC-20002 15.215.315.216.419.213.5Singh et al., 2010 [20]

AsiaBahrain2000School-based survey12–17IOTF1 20.015.324.516.414.917.9Al-Sendi et al., 2003 [21]
China20022002 CNNHS13–17IOTF1 4.64.64.60.60.70.5Li et al., 2008 [22]
Iran2003-04CASPIAN Study10–18IOTF1 5.95.76.01.31.51.1 Kelishadi et al., 2008 [23]
CDC-20002 4.54.34.71.92.31.6
Israel2003-04MABAT Youth Survey11–19CDC-20002 12.912.713.05.67.44.1Nitzan Kaluski et al., 2009 [24]
Jordan2009Household-based survey13–18IOTF1 13.711.315.510.012.48.2Khader et al., 2011 [25]
Qatar2003-04School-based survey12–17IOTF1 23.828.618.96.37.94.7Bener, 2006 [26]
Saudi Arabia2005Household-based survey13–18CDC-20002 17.916.519.67.08.25.5 El Mouzan et al., 2010 [27]
WHO-20073 16.013.618.410.611.210.0
Taiwan2003School-based survey10–18IOTF1 16.318.414.26.28.14.2Liou et al., 2009 [28]
United Arab Emirates2009-10Household-based survey11–18IOTF1 16.220.511.719.7Ng et al., 2011 [29]

EuropeCyprus1999-00School-based survey10–17IOTF1 18.921.316.55.87.14.5Savva et al., 2002 [30]
Czech Republic2005Lifestyle and Obesity Study6–17IOTF1 12.316.68.01.41.71.0Kunesova et al., 2007 [31]
Germany2008CrescNet database12–16IOTF1 18.219.317.06.27.64.6Blüher et al., 2011 [32]
Greece2003School-based survey13–19IOTF1 18.323.314.04.36.12.7Tzotzas et al., 2008 [33]
Italy2002HBSC Study11, 13, 15IOTF1 15.620.910.62.33.51.2Vieno et al., 2005 [34]
Republic of Ireland2003School-based survey11–16IOTF1 18.517.819.25.85.66.1Whelton et al., 2007 [35]
Northern Ireland2003School-based survey11–15IOTF1 18.218.517.85.96.05.7Whelton et al., 2007 [35]
Portugal2008School-based survey10–18IOTF1 17.417.717.05.25.84.6 Sardinha et al., 2011 [36]
WHO-200721.820.423.19.910.39.6
Sweden2001School-based survey10, 13, 16IOTF1 15.814.616.94.45.03.6Ekblom et al., 2004 [37]

OceaniaAustralia20042004 SPANS8th, 10thIOTF1 17.919.416.25.36.73.6Booth et al., 2007 [38]
New Zealand2007Youth'07 Survey13–17IOTF1 24.023.324.710.210.89.5 Utter et al., 2010 [39]
WHO-200725.925.926.013.514.612.1

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

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.

ContinentCountry, regionDate of surveyStudy populationAge (years)CriteriaOverweight (%)Obesity (%)Reference
AllBoysGirlsAllBoysGirls
AfricaSouth Africa, Eastern Cape20082008 SA YRBS13–19IOTF1 13.34.321.14.02.05.6Reddy et al., 2010 [15]
South Africa, Free State20082008 SA YRBS13–19IOTF1 11.68.115.14.73.75.7Reddy et al., 2010 [15]
South Africa, Gauteng20082008 SA YRBS13–19IOTF1 12.710.015.49.78.411.0Reddy et al., 2010 [15]
South Africa, KwaZulu-Natal20082008 SA YRBS13–19IOTF1 20.18.631.55.43.47.3Reddy et al., 2010 [15]
South Africa, Limpopo20082008 SA YRBS13–19IOTF1 10.76.215.12.81.04.5Reddy et al., 2010 [15]
South Africa, Mpumalanga20082008 SA YRBS13–19IOTF1 15.510.021.16.12.39.9Reddy et al., 2010 [15]
South Africa, Northern Cape20082008 SA YRBS13–19IOTF1 12.97.318.35.04.45.6Reddy et al., 2010 [15]
South Africa, North West20082008 SA YRBS13–19IOTF1 11.87.016.73.92.25.7Reddy et al., 2010 [15]
South Africa, Western Cape20082008 SA YRBS13–19IOTF1 14.39.718.55.62.08.9Reddy et al., 2010 [15]

AmericaUSA, Alaska20072007 NSCH10–17CDC-20002 19.822.716.714.114.613.7Singh et al., 2010 [20]
USA, Alabama20072007 NSCH10–17CDC-20002 18.217.618.917.924.410.9Singh et al., 2010 [20]
USA, Arkansas20072007 NSCH10–17CDC-20002 17.115.019.220.427.213.2Singh et al., 2010 [20]
USA, Arizona20072007 NSCH10–17CDC-20002 12.812.712.717.820.615.0Singh et al., 2010 [20]
USA, California20072007 NSCH10–17CDC-20002 15.513.417.515.017.412.8Singh et al., 2010 [20]
USA, Colorado20072007 NSCH10–17CDC-20002 13.017.58.514.217.510.7Singh et al., 2010 [20]
USA, Connecticut20072007 NSCH10–17CDC-20002 13.214.711.712.514.810.2Singh et al., 2010 [20]
USA, Washington, DC20072007 NSCH10–17CDC-20002 15.211.618.720.222.218.2Singh et al., 2010 [20]
USA, Delaware20072007 NSCH10–17CDC-20002 19.922.017.813.312.214.4Singh et al., 2010 [20]
USA, Florida20072007 NSCH10–17CDC-20002 14.812.717.118.321.515.0Singh et al., 2010 [20]
USA, Georgia20072007 NSCH10–17CDC-20002 16.014.417.721.324.717.7Singh et al., 2010 [20]
USA, Hawaii20072007 NSCH10–17CDC-20002 17.317.517.111.215.07.1Singh et al., 2010 [20]
USA, Iowa20072007 NSCH10–17CDC-20002 15.314.815.911.211.311.0Singh et al., 2010 [20]
USA, Idaho20072007 NSCH10–17CDC-20002 15.714.417.211.816.46.8Singh et al., 2010 [20]
USA, Illinois20072007 NSCH10–17CDC-20002 14.212.116.420.725.016.3Singh et al., 2010 [20]
USA, Indiana20072007 NSCH10–17CDC-20002 15.211.519.314.717.411.7Singh et al., 2010 [20]
USA, Kansas20072007 NSCH10–17CDC-20002 14.916.013.716.216.216.3Singh et al., 2010 [20]
USA, Kentucky20072007 NSCH10–17CDC-20002 16.117.714.621.022.519.4Singh et al., 2010 [20]
USA, Louisiana20072007 NSCH10–17CDC-20002 15.215.514.920.723.118.1Singh et al., 2010 [20]
USA, Massachusetts20072007 NSCH10–17CDC-20002 16.718.215.413.316.110.5Singh et al., 2010 [20]
USA, Maryland20072007 NSCH10–17CDC-20002 15.219.111.113.617.09.9Singh et al., 2010 [20]
USA, Maine20072007 NSCH10–17CDC-20002 15.315.614.912.916.09.8Singh et al., 2010 [20]
USA, Michigan20072007 NSCH10–17CDC-20002 18.120.415.812.514.310.5Singh et al., 2010 [20]
USA, Minnesota20072007 NSCH10–17CDC-20002 12.012.111.811.114.37.6Singh et al., 2010 [20]
USA, Missouri20072007 NSCH10–17CDC-20002 17.416.917.813.615.511.6Singh et al., 2010 [20]
USA, Mississippi20072007 NSCH10–17CDC-20002 22.621.623.521.925.518.5Singh et al., 2010 [20]
USA, Montana20072007 NSCH10–17CDC-20002 13.815.012.511.816.66.6Singh et al., 2010 [20]
USA, North Carolina20072007 NSCH10–17CDC-20002 14.913.916.018.619.317.9Singh et al., 2010 [20]
USA, North Dakota20072007 NSCH10–17CDC-20002 14.316.911.611.415.77.0Singh et al., 2010 [20]
USA, Nebraska20072007 NSCH10–17CDC-20002 15.713.917.515.823.08.1Singh et al., 2010 [20]
USA, New Hampshire20072007 NSCH10–17CDC-20002 16.617.116.212.816.38.8Singh et al., 2010 [20]
USA, New Jersey20072007 NSCH10–17CDC-20002 15.617.313.815.418.611.7Singh et al., 2010 [20]
USA, New Mexico20072007 NSCH10–17CDC-20002 16.715.318.116.020.411.4Singh et al., 2010 [20]
USA, Nevada20072007 NSCH10–17CDC-20002 19.021.916.015.219.410.8Singh et al., 2010 [20]
USA, New York20072007 NSCH10–17CDC-20002 15.815.116.517.120.313.8Singh et al., 2010 [20]
USA, Ohio20072007 NSCH10–17CDC-20002 14.818.710.918.522.914.2Singh et al., 2010 [20]
USA, Oklahoma20072007 NSCH10–17CDC-20002 13.218.18.216.417.415.4Singh et al., 2010 [20]
USA, Oregon20072007 NSCH10–17CDC-20002 14.716.213.39.611.08.2Singh et al., 2010 [20]
USA, Pennsylvania20072007 NSCH10–17CDC-20002 14.715.513.715.021.08.4Singh et al., 2010 [20]
USA, Rhode Island20072007 NSCH10–17CDC-20002 15.715.516.014.418.210.5Singh et al., 2010 [20]
USA, South Carolina20072007 NSCH10–17CDC-20002 18.520.815.915.318.412.0Singh et al., 2010 [20]
USA, South Dakota20072007 NSCH10–17CDC-20002 15.217.313.013.216.010.2Singh et al., 2010 [20]
USA, Tennessee20072007 NSCH10–17CDC-20002 15.914.517.320.623.317.9Singh et al., 2010 [20]
USA, Texas20072007 NSCH10–17CDC-20002 11.811.012.620.420.620.2Singh et al., 2010 [20]
USA, Utah20072007 NSCH10–17CDC-20002 11.712.111.211.414.77.9Singh et al., 2010 [20]
USA, Virginia20072007 NSCH10–17CDC-20002 15.816.115.415.216.613.9Singh et al., 2010 [20]
USA, Vermont20072007 NSCH10–17CDC-20002 13.816.411.112.917.08.4Singh et al., 2010 [20]
USA, Washington20072007 NSCH10–17CDC-20002 18.421.914.711.114.77.3Singh et al., 2010 [20]
USA, Wisconsin20072007 NSCH10–17CDC-20002 14.817.312.213.115.610.5Singh et al., 2010 [20]
USA, West Virginia20072007 NSCH10–17CDC-20002 16.616.916.418.921.815.7Singh et al., 2010 [20]
USA, Wyoming20072007 NSCH10–17CDC-20002 15.516.614.210.214.15.5Singh et al., 2010 [20]
Brazil, Pernambuco State2006GSHS14–19IOTF1 11.511.311.62.42.02.8Tassitano et al., 2009 [40]

AsiaChina, Hong Kong2003-04School-based survey11–18IOTF1 7.19.64.92.83.91.8 Ko et al., 2008 [41]
CDC-20002 8.311.35.84.16.02.4
India, Manipur2005-06School-based survey12–19IOTF1 4.44.14.70.71.00.4Bishwalata et al., 2010 [42]
Jordan, Irbid Governorate2007School-based survey13–16CDC-20002 15.711.818.98.712.35.8Abu Baker and Daradkeh, 2010 [43]

EuropeDenmark, Greater Copenhagen area and 3 municipalities outside the Capital Region2007–09School-based survey14–16IOTF1 14.015.212.911.214.18.2Søren and Jo, 2010 [44]
France, Aquitaine Region2004-05School-based survey11–18IOTF1 11.713.310.11.92.41.4Thibault et al., 2010 [45]
Greece, Crete2005-06School-based survey10–12IOTF1 28.030.027.013.015.010.0Manios et al., 2011 [46]
Hungary, Szeged and Szolnok regions2005-06School-based survey11–16IOTF1 16.817.915.76.67.95.2Baráth et al., 2010 [47]
Italy, North-West2002HBSC Study11, 13, 16IOTF1 18.37.12.51.1Vieno et al., 2005 [34]
Italy, North-East2002HBSC Study11, 13, 16IOTF1 16.511.70.81.5Vieno et al., 2005 [34]
Italy, Center2002HBSC Study11, 13, 16IOTF1 20.711.23.92.5Vieno et al., 2005 [34]
Italy, South2002HBSC Study11, 13, 16IOTF1 25.715.74.40.9Vieno et al., 2005 [34]
Italy, Islands2002HBSC Study11, 13, 16IOTF1 31.310.47.60.8Vieno et al., 2005 [34]
Italy, Sardinia1999–2001School-based survey11–15IOTF114.915.414.63.75.13.2Velluzzi et al., 2007 [48]
Italy, Sicily1999–2001Public school-based survey11–15CDC-20002 18.318.817.811.815.18.5Baratta et al., 2006 [49]
Poland, Kujawsko-Pomorskie2005School based survey13–15IOTF1 10.712.09.51.41.61.3Jodkowska et al., 2010 [50]
Poland, Lubuskie2005School based survey13–15IOTF1 11.112.210.13.02.53.5Jodkowska et al., 2010 [50]
Poland, Malapolskie2005School based survey13–15IOTF1 12.712.812.61.61.91.3Jodkowska et al., 2010 [50]
Poland, Podlaskie2005School based survey13–15IOTF1 13.914.513.32.83.12.6Jodkowska et al., 2010 [50]
Poland, Pomorskie2005School based survey13–15IOTF1 13.713.413.92.12.02.2Jodkowska et al., 2010 [50]
Spain, Balearic Islands2007-08School-based survey12–17WHO-20073 17.519.915.510.412.78.5Bibiloni et al., 2010 [51]
Spain, Grand Canary2004-05School-based survey12–14IOTF1 21.621.022.27.57.87.2Henríquez Sánchez et al., 2008 [52]
Switzerland, Canton of Vaud2005-06Public school-based survey10–14IOTF1 12.013.210.71.71.81.7 Lasserre et al., 2007 [53]
CDC-20002 10.711.99.43.64.23.0
Turkey, Edirne Province2001Two school-based surveys12–17IOTF1 10.911.310.61.91.62.1Öner 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

3Overweight and obesity, all adolescents with BMI-for-age ≥P85th and

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.
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Review 1.  Diagnostic accuracy of the BMI for age in paediatrics.

Authors:  J J Reilly
Journal:  Int J Obes (Lond)       Date:  2006-04       Impact factor: 5.095

2.  [Epidemiology of overweight and obesity among Italian early adolescents: relation with physical activity and sedentary behaviour].

Authors:  Alessio Vieno; Massimo Santinello; Maria Cristiana Martini
Journal:  Epidemiol Psichiatr Soc       Date:  2005 Apr-Jun

3.  Prevalence of obesity and trends in body mass index among US children and adolescents, 1999-2010.

Authors:  Cynthia L Ogden; Margaret D Carroll; Brian K Kit; Katherine M Flegal
Journal:  JAMA       Date:  2012-01-17       Impact factor: 56.272

4.  [Prevalence of obesity in Spain: results of the SEEDO 2000 study].

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Journal:  Med Clin (Barc)       Date:  2003-05-03       Impact factor: 1.725

5.  Nutritional status of Tunisian adolescents: associated gender, environmental and socio-economic factors.

Authors:  Hajer Aounallah-Skhiri; Habiba Ben Romdhane; Pierre Traissac; Sabrina Eymard-Duvernay; Francis Delpeuch; Noureddine Achour; Bernard Maire
Journal:  Public Health Nutr       Date:  2008-06-19       Impact factor: 4.022

6.  Prevalence and regional differences in overweight in 2001 and trends in BMI distribution in Swedish children from 1987 to 2001.

Authors:  Orjan Ekblom; Kristjan Oddsson; Björn Ekblom
Journal:  Scand J Public Health       Date:  2004       Impact factor: 3.021

Review 7.  Obesity in children and young people: a crisis in public health.

Authors:  T Lobstein; L Baur; R Uauy
Journal:  Obes Rev       Date:  2004-05       Impact factor: 9.213

8.  Prevalence of overweight and obesity in Sardinian adolescents.

Authors:  F Velluzzi; A Lai; G Secci; R Mastinu; A Pilleri; R Cabula; E Rizzolo; P L Cocco; D Fadda; F Binaghi; S Mariotti; A Loviselli
Journal:  Eat Weight Disord       Date:  2007-06       Impact factor: 4.652

9.  Prevalence and secular trends in overweight and obese Taiwanese children and adolescents in 1991-2003.

Authors:  Tsan-Hon Liou; Yi-Ching Huang; Pesus Chou
Journal:  Ann Hum Biol       Date:  2009 Mar-Apr       Impact factor: 1.533

10.  Establishing a standard definition for child overweight and obesity worldwide: international survey.

Authors:  T J Cole; M C Bellizzi; K M Flegal; W H Dietz
Journal:  BMJ       Date:  2000-05-06
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1.  APOLO-Teens, a web-based intervention for treatment-seeking adolescents with overweight or obesity: study protocol and baseline characterization of a Portuguese sample.

Authors:  Sofia Ramalho; Pedro F Saint-Maurice; Diana Silva; Helena Ferreira Mansilha; Cátia Silva; Sónia Gonçalves; Paulo Machado; Eva Conceição
Journal:  Eat Weight Disord       Date:  2018-12-05       Impact factor: 4.652

2.  A predictive model of progressive chronic kidney disease in idiopathic nephrotic syndrome.

Authors:  Ana Carmen Quaresma Mendonça; Eduardo Araújo Oliveira; Brunna Pinto Fróes; Lauro Damasceno Carvalho Faria; Juliana Silva Pinto; Maira Melo Ibrahim Nogueira; Gabriella Oliveira Lima; Priscila Isa Resende; Natália Silva Assis; Ana Cristina Simões E Silva; Sérgio Veloso Brant Pinheiro
Journal:  Pediatr Nephrol       Date:  2015-06-18       Impact factor: 3.714

3.  Excess of weight, but not underweight, is associated with poor physical fitness in children and adolescents from Castilla-La Mancha, Spain.

Authors:  Roberto Gulías-González; Vicente Martínez-Vizcaíno; Jorge Cañete García-Prieto; Ana Díez-Fernández; Angel Olivas-Bravo; Mairena Sánchez-López
Journal:  Eur J Pediatr       Date:  2013-12-11       Impact factor: 3.183

4.  Adiposity trajectory and its associations with plasma adipokine levels in children and adolescents-A prospective cohort study.

Authors:  Shenghui Li; Rong Liu; Lester Arguelles; Guoying Wang; Jun Zhang; Xiaoming Shen; Xiaobin Wang
Journal:  Obesity (Silver Spring)       Date:  2015-12-25       Impact factor: 5.002

5.  Efficacy of gamification-based smartphone application for weight loss in overweight and obese adolescents: study protocol for a phase II randomized controlled trial.

Authors:  Patrick Timpel; Fernando Henpin Yue Cesena; Christiane da Silva Costa; Matheus Dorigatti Soldatelli; Emanuel Gois; Eduardo Castrillon; Lina Johana Jaime Díaz; Gabriela M Repetto; Fanah Hagos; Raul E Castillo Yermenos; Kevin Pacheco-Barrios; Wafaa Musallam; Zilda Braid; Nesreen Khidir; Marcela Romo Guardado; Roberta Muriel Longo Roepke
Journal:  Ther Adv Endocrinol Metab       Date:  2018-04-27       Impact factor: 3.565

6.  Are associations between electronic media use and BMI different across levels of physical activity?

Authors:  Ole Melkevik; Ellen Haug; Mette Rasmussen; Anne Siri Fismen; Bente Wold; Alberto Borraccino; Erik Sigmund; Robert Balazsi; Jens Bucksch; Jo Inchley; Margarida Gaspar de Matos; Oddrun Samdal
Journal:  BMC Public Health       Date:  2015-05-19       Impact factor: 3.295

7.  Country-level and individual correlates of overweight and obesity among primary school children: a cross-sectional study in seven European countries.

Authors:  Beatriz Olaya; Maria Victoria Moneta; Ondine Pez; Adina Bitfoi; Mauro Giovanni Carta; Ceyda Eke; Dietmar Goelitz; Katherine M Keyes; Rowella Kuijpers; Sigita Lesinskiene; Zlatka Mihova; Roy Otten; Christophe Fermanian; Josep Maria Haro; Viviane Kovess
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8.  Evaluation of body mass index and related lifestyle factors among 14-17-year-old Turkish adolescents.

Authors:  Elif Gunalan; Binnur Okan Bakir; Rabia Bali; Ozlem Tanriover; Burcu Gemici
Journal:  North Clin Istanb       Date:  2021-04-29

9.  Prevalence and contributing factors for adolescent obesity in present era: Cross-sectional Study.

Authors:  S Seema; Kusum K Rohilla; Vasantha C Kalyani; Prerna Babbar
Journal:  J Family Med Prim Care       Date:  2021-05-31

10.  Insulin Resistance of Normal Weight Central Obese Adolescents in Korea Stratified by Waist to Height Ratio: Results from the Korea National Health and Nutrition Examination Surveys 2008-2010.

Authors:  Won Kyoung Cho; Hyojin Kim; Hyun Young Lee; Kyung Do Han; Yeon Jin Jeon; In Ah Jung; Shin Hee Kim; Kyoung Soon Cho; So Hyun Park; Min Ho Jung; Byung-Kyu Suh
Journal:  Int J Endocrinol       Date:  2015-07-16       Impact factor: 3.257

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