| Literature DB >> 36102398 |
Mariana Contiero San Martini1, Daniela de Assumpção1, Marilisa Berti de Azevedo Barros1, Josiemer Mattei2, Antônio de Azevedo Barros Filho1.
Abstract
OBJECTIVE: To identify the prevalence of weight dissatisfaction among adolescents aged 10-19 years and stratify the analysis by sex. DATA SOURCE: A literature review of cross-sectional studies among healthy adolescents was performed. The U.S. National Library of Medicine/National Institutes of Health (PubMed), Ovid® (Wolters Kluwer), The Cumulative Index to Nursing and Allied Health Literature (CINAHL), and American Psychological Association (PsycINFO®) databases were searched between May 2019 and January 2020. DATA SYNTHESIS: Initially, 3,700 records were identified, and 10 papers were obtained through other sources. After the removal of duplicates, 1,732 records were screened based on the titles and abstracts, and 126 were preselected for full-text analysis. After the application of the eligibility criteria, 34 papers were included in the present review. The studies were published between 1997 and 2020. The sample size ranged from <150 to >103,000 adolescents. The prevalence of weight dissatisfaction ranged from 18.0 to 56.6% in both sexes (10.8-82.5% among boys and 19.2-83.8% among girls).Entities:
Mesh:
Year: 2022 PMID: 36102398 PMCID: PMC9467670 DOI: 10.1590/1984-0462/2023/41/2021204
Source DB: PubMed Journal: Rev Paul Pediatr ISSN: 0103-0582
Full electronic search strategy of the PubMed database.
| (“Body Weight”[Mesh:NoExp] OR “Ideal Body Weight”[Mesh] OR body weight[tiab] OR healthy weight[tiab] OR weight satisfaction[tiab] OR weight dissatisf*[tiab]) AND (“Personal Satisfaction”[Mesh] OR dissatisfaction[tiab] OR dissatisfied[tiab] OR satisfaction[tiab] OR satisfied[tiab]) AND (“Adolescent”[Mesh] OR adolescence[tiab] OR adolescent[tiab] OR adolescents[tiab] OR high school*[tiab] OR highschool*[tiab] OR junior high[tiab] OR middle school*[tiab] OR preadolescen*[tiab] OR prepubert*[tiab] OR prepubescen*[tiab] OR preteen*[tiab] OR pubertal[tiab] OR puberty[tiab] OR pubescen*[tiab] OR secondary school*[tiab] OR teen[tiab] OR teenage*[tiab] OR teens[tiab]) AND (English[lang] OR Portuguese[lang] OR Spanish[lang]) NOT (Comment[ptyp] OR Editorial[ptyp] OR Letter[ptyp] OR Case Reports[ptyp] OR News[ptyp]) |
Figure 1PRISMA flow diagram.
Prevalence of dissatisfaction with body weight among male and female adolescents.
| Author | Year | Country* | Total (n) | Age (years) | Dissatisfied (%) | Test/association measure**** | Instrument***** |
|---|---|---|---|---|---|---|---|
| Savage et al. | 1997 | AU and US | US=820; AU=219 | US=13; AU=13 | US=43.5; AU=31.1 | Chi-square | Q |
| Wang et al. | 2009 | USa | 448 | 11 (SD=1.0)** | 24.2 | Chi-square | Q |
| Yeung | 2010 | Hong Kong | 806 | 11-18 | 32.0 | Chi-square | S |
| Larson et al.
| 2012 | New Zealand | 8,704 | 12-18 | 18.0 (16.5-19.3)*** | OR | S |
| Fredrickson et al. | 2013 | Australia | 2,954 | 11-18 | 46.8 | Chi-square | S |
| Christofaro et al. | 2015 | Brazilb | 2,288 | 10-17 | 56.6 | Chi-square | Q |
| Sampasa-Kanyinga et al. | 2016 | Canadac | 4,468 | 11-19 | 35.5 | Pearson chi-square | Q |
| Xu et al.
| 2018 | US | 2,296 | 12-17 | 55.8 | OR | Q |
| Jalali-Farahani et al. | 2019 | Irand | 575 | 12-18 | 34.1 | Chi-square | Q |
| Moehlecke et al. | 2019 | Brazile | 71,740 | 12-17 | 45.0 (44.0-46.0)*** | Prevalence ratio | Q |
| Martini et al. | 2020 | Brazilf | 822 | 10-19 | 48.8 | Rao-Scott chi-square | Q |
*AU: Australia, US: United States; aChicago; bLondrina-Paraná; cOntario; dIsfahan; e273 municipalities; fCampinas-São Paulo; **SD: standard deviation; ***95%CI: 95% confidence interval; ****measure of epidemiological association; OR: Odds Ratio; *****Q: questionnaire, S: scale.
Prevalence of dissatisfaction with body weight among male adolescents.
| Author | Year | Country* | Total (n) | Age (years) | Dissatisfied (%) | Test/association measure**** | Instrument***** |
|---|---|---|---|---|---|---|---|
| Savage et al. | 1997 | AU and US | US=229; AU=147 | US=13; AU=13 | US=33.2; AU=24.7 | Chi-square | Q |
| Tomori et al. | 2000 | Slovenia | 2,193 | 14-19 | 32.8 | Chi-square | Q |
| Mikkilä et al. | 2003 | Finland | 29,718 | 14-16 | 34.0 | OR | Q |
| Park et al. | 2003 | Koreaa | 1,724 | 11-18 | 39.9 | Chi-square | Q |
| Page et al. | 2005 | Thailandb | 816 | 16 (SD=1.3)** | 54.4 | Chi-square | S |
| Meland et al. | 2007 | Norway | 2,547 | 11, 13, 15 | 21.0 | OR/RR | Q |
| Al Sabbah et al. | 2008 | Palestine | 6,867 | 12-18 | 29.9 | OR | Q |
| Chen et al. | 2008 | Taiwanc | 452 | 12-16 | 82.3 | OR | S |
| Sano et al. | 2008 | Japan and Vietnam | JP=191; VN=352 | 12-15 | JP=51.3; VN=54.8 | Chi-square | S |
| Al Sabbah et al. | 2009 | 24 countries | 103,982 | 11, 13, 15 | OR | Q | |
| Kanaan et al. | 2010 | Lebanone | 677 | 13-19 | 23.0 | OR | Q |
| Khor et al. | 2009 | Peninsular Malaysiaf | 1,037 | 11-15 | 63.3 | Chi-square | S |
| Kim et al.
| 2009 | Koreag | 211 | 10-13 | 34.4 | Chi-square | Q |
| Wang et al. | 2009 | The United Statesh | 196 | 11 (SD=1.0)** | 15.9 | Chi-square | Q |
| Duca et al. | 2010 | Brazili | 2,044 | 15-19 | 42.8 | OR | Q |
| Yeung | 2010 | Hong Kong | 328 | 11-18 | 24.0 | Chi-square | S |
| Larson et al. | 2012 | New Zealand | 4,667 | 12-18 | 10.8 (9.8-11.8)*** | OR | S |
| Suliburska et al. | 2012 | Polandj | 300 | 18 | 35.0 | Chi-square | Q |
| Wood et al. | 2012 | New Zealand | 4,664 | 12-18 | 39.3 | OR | S |
| Fredrickson et al. | 2013 | Australia | 1,660 | 11-18 | 36.6 | Chi-square | S |
| Costa et al. | 2016 | Brazilk | 80 | 10-19 | 82.5 | Chi-square | S |
| Sampasa-Kanyinga et al.
| 2016 | Canadal | 2,014 | 11-19 | 31.2 | Chi-square | Q |
| Livazović et al. | 2017 | Croatiam | 37 | 15-18 | 45.9 | Chi-square | S |
| Ra et al. | 2017 | Korean | 17,369 | 12-15 | 32.3 | Chi-square | Q |
| Ren et al. | 2018 | Chinao | 1,927 | 11-16 | 27.9 | Chi-square | Q |
| Xu et al. | 2018 | The United States | 1,105 | 12-17 | 54.0 | OR | Q |
| Jalali-Farahani et al. | 2019 | Iranp | 275 | 12-18 | 28.8 | Chi-square | Q |
| Moehlecke et al. | 2019 | Brazilq | 32,283 | 12-17 | 36.4 (35.1-37.7)*** | Prevalence ratio | Q |
*AU: Australia, US: United States, JP: Japan, VN: Vietnam; aSeoul; bChiang Mai; cTaipei; dFlanders; eBeirute; fPenangand Kedah; gSeoul; hChicago; iSanta Catarina; jWielkopolska; kCampo Grande; lOntario; mOsijek; n17 provinces; oBeijing, Shenyang, Zhengzhou, Chongqing, and Guangzhou; pIsfahan; q273 municipalities; **SD: standard deviation; ***95%CI: 95% confidence interval; ****measure of epidemiological association; OR: Odds Ratio; RR: relative risk; *****Q: questionnaire; S: scale.
Prevalence of dissatisfaction with body weight among female adolescents.
| Author | Year | Country* | Total (n) | Age (in years) | Dissatisfied (%) | Test/association measure**** | Instrument***** |
|---|---|---|---|---|---|---|---|
| Savage et al. | 1997 | AU and US | US=592; AU=73 | US=13; AU=13 | US=47.4; AU=47.5 | Chi-square | Q |
| Tomori et al. | 2000 | Slovenia | 2,507 | 14-19 | 65.5 | Chi-square | Q |
| Sherwood et al.
| 2001 | USa | 234 | 10-13 | 19.2 | t-test | S |
| Mikkilä et al. | 2003 | Finland | 30,534 | 14-16 | 46.0 | OR | Q |
| Park et al. | 2003 | Koreab | 1,658 | 11-18 | 54.5 | Chi-square | Q |
| Page et al. | 2005 | Thailandc | 1,646 | 16 (SD=1.3)** | 74.5 | Chi-square | S |
| Meland et al. | 2007 | Norway | 2,479 | 11, 13, 15 | 56.0 | OR/RR | Q |
| Al Sabbah et al. | 2008 | Palestine | 8,165 | 12-18 | 33.9 | OR | Q |
| Chen et al. | 2008 | Taiwand | 431 | 12-16 | 83.8 | OR | S |
| Sano et al. | 2008 | Japan and Vietnam | JP=174; VN=362 | 12-15 | JP=83.3; VN=57.5 | Chi-square | S |
| Al Sabbah et al. | 2009 | 24 countries | 103,982 | 11, 13, 15 | OR | Q | |
| Kanaan et al. | 2010 | Lebanonf | 617 | 13-19 | 31.0 | OR | Q |
| Khor et al. | 2009 | Peninsular Malaysiag | 1,006 | 11-15 | 72.7 | Chi-square | S |
| Kim et al. | 2009 | Koreah | 194 | 10-13 | 32.1 | Chi-square | Q |
| Wang et al. | 2009 | USi | 252 | 11 (SD=1.0)** | 30.6 | Chi-square | Q |
| Duca et al. | 2010 | Brazilj | 2,984 | 15-19 | 59.7 | OR | Q |
| Yeung | 2010 | Hong Kong | 478 | 11-18 | 37.0 | Chi-square | S |
| Larson et al. | 2012 | New Zealand | 4,037 | 12-18 | 26.2 (24.7-27.7)*** | OR | S |
| Suliburska et al. | 2012 | Polandk | 300 | 18 | 65.0 | Chi-square | Q |
| Wood et al. | 2012 | New Zealand | 4,034 | 12-18 | 61.4 | OR | S |
| Fredrickson et al. | 2013 | AU | 1,294 | 11-18 | 59.8 | Chi-square | S |
| Leme et al. | 2013 | Brazill | 63 | 13-19 | 52.4 | Chi-square | S |
| Palma et al. | 2013 | Brazilm | 2,149 | 14-18 | 42.4 | OR | Q |
| Marques et al. | 2014 | Brazilm | 1,082 | 14-15 | 48.3 | Prevalence ratio | Q |
| Costa et al. | 2016 | Braziln | 133 | 10-19 | 78.9 | Chi-square | S |
| Sampasa-Kanyinga et al. | 2016 | Canadao | 2,454 | 11-19 | 40.0 | Chi-square | Q |
| Livazović et al. | 2017 | Croatiap | 111 | 15-18 | 61.2 | Chi-square | S |
| Ra et al. | 2017 | Koreaq | 16,005 | 12-15 | 45.6 | Chi-square | Q |
| Ren et al. | 2018 | Chinar | 1,914 | 11-16 | 41.2 | Chi-square | Q |
| Xu et al. | 2018 | US | 1,191 | 12-17 | 57.4 | OR | Q |
| Jalali-Farahani et al. | 2019 | Irans | 300 | 12-18 | 39.0 | Chi-square | Q |
| Moehlecke et al. | 2019 | Brazilt | 39,457 | 12-17 | 53.8 (52.2-55.3)*** | Prevalence ratio | Q |
*AU: Australia, US: United States, JP: Japan, N: Vietnam; aMinnesota and Wisconsin; bSeoul; cChiang Mai; dTaipei; eFlanders; fBeirute; gPenangand Kedah; hSeoul; iChicago; jSanta Catarina; kWielkopolska; lSão Paulo; mRio de Janeiro; nCampo Grande; oOntario; pOsijek; q17 provinces; rBeijing, Shenyang, Zhengzhou, Chongqing, and Guangzhou; sIsfahan; t273 municipalities; **SD: standard deviation; ***95%CI: 95% confidence interval; ****measure of epidemiological association; OR: odds ratio; RR: relative risk; *****Q: questionnaire; S: scale.