Claudio Nigg, Becky Shor, Cathy Yamamoto Tanaka, Donald K Hayes
{"title":"夏威夷青少年危险体重(超重和肥胖)患病率。","authors":"Claudio Nigg, Becky Shor, Cathy Yamamoto Tanaka, Donald K Hayes","doi":"","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>To present prevalence rates of adolescents in Hawai'i at-risk weight (85 percentile or higher = overweight or obese) and the relationship with comorbidities.</p><p><strong>Methods: </strong>The Hawai'i Youth Risk Behavior Survey aggregated for 2005, 2007, and 2009 was analyzed addressing at-risk weight prevalence by sex, race/ethnicity, and grade. Comorbidities were related to at-risk weight using regression.</p><p><strong>Results: </strong>Over 1/4 of Hawai'i adolescents were at-risk weight. There were no differences by grade, but boys had higher prevalence (31.0%) than girls (22.4%). Overall, Other Pacific Islanders and Hawaiians had the highest prevalence (43.9% and 37.4%, respectively), followed by multi-race (27.1%), Filipino (25.7%), and Whites with the lowest (16.1%). Most associations between at-risk weight and various co-morbidities (including sexual behavior, nutrition, physical activity, mental health, bullying, alcohol, and other drug use) were not significant (p>.05). However, girls and boys trying to lose weight; and boys with 3+ hours of screen time (TV, video, or computer games) each day were at increased odds of at-risk weight (p<.05).</p><p><strong>Conclusion: </strong>Adolescent gender and ethnic disparities exist such that a single intervention approach (one size fits all) may be counterproductive. More research is required on the determinants and mechanisms to guide weight management interventions.</p>","PeriodicalId":12824,"journal":{"name":"Hawaii medical journal","volume":"70 7 Suppl 1","pages":"4-10"},"PeriodicalIF":0.0000,"publicationDate":"2011-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3158456/pdf/hmj7007_suppl1_0004.pdf","citationCount":"0","resultStr":"{\"title\":\"Adolescent at-risk weight (overweight and obesity) prevalence in Hawai'i.\",\"authors\":\"Claudio Nigg, Becky Shor, Cathy Yamamoto Tanaka, Donald K Hayes\",\"doi\":\"\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>To present prevalence rates of adolescents in Hawai'i at-risk weight (85 percentile or higher = overweight or obese) and the relationship with comorbidities.</p><p><strong>Methods: </strong>The Hawai'i Youth Risk Behavior Survey aggregated for 2005, 2007, and 2009 was analyzed addressing at-risk weight prevalence by sex, race/ethnicity, and grade. Comorbidities were related to at-risk weight using regression.</p><p><strong>Results: </strong>Over 1/4 of Hawai'i adolescents were at-risk weight. There were no differences by grade, but boys had higher prevalence (31.0%) than girls (22.4%). Overall, Other Pacific Islanders and Hawaiians had the highest prevalence (43.9% and 37.4%, respectively), followed by multi-race (27.1%), Filipino (25.7%), and Whites with the lowest (16.1%). Most associations between at-risk weight and various co-morbidities (including sexual behavior, nutrition, physical activity, mental health, bullying, alcohol, and other drug use) were not significant (p>.05). However, girls and boys trying to lose weight; and boys with 3+ hours of screen time (TV, video, or computer games) each day were at increased odds of at-risk weight (p<.05).</p><p><strong>Conclusion: </strong>Adolescent gender and ethnic disparities exist such that a single intervention approach (one size fits all) may be counterproductive. More research is required on the determinants and mechanisms to guide weight management interventions.</p>\",\"PeriodicalId\":12824,\"journal\":{\"name\":\"Hawaii medical journal\",\"volume\":\"70 7 Suppl 1\",\"pages\":\"4-10\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3158456/pdf/hmj7007_suppl1_0004.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Hawaii medical journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Hawaii medical journal","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adolescent at-risk weight (overweight and obesity) prevalence in Hawai'i.
Objective: To present prevalence rates of adolescents in Hawai'i at-risk weight (85 percentile or higher = overweight or obese) and the relationship with comorbidities.
Methods: The Hawai'i Youth Risk Behavior Survey aggregated for 2005, 2007, and 2009 was analyzed addressing at-risk weight prevalence by sex, race/ethnicity, and grade. Comorbidities were related to at-risk weight using regression.
Results: Over 1/4 of Hawai'i adolescents were at-risk weight. There were no differences by grade, but boys had higher prevalence (31.0%) than girls (22.4%). Overall, Other Pacific Islanders and Hawaiians had the highest prevalence (43.9% and 37.4%, respectively), followed by multi-race (27.1%), Filipino (25.7%), and Whites with the lowest (16.1%). Most associations between at-risk weight and various co-morbidities (including sexual behavior, nutrition, physical activity, mental health, bullying, alcohol, and other drug use) were not significant (p>.05). However, girls and boys trying to lose weight; and boys with 3+ hours of screen time (TV, video, or computer games) each day were at increased odds of at-risk weight (p<.05).
Conclusion: Adolescent gender and ethnic disparities exist such that a single intervention approach (one size fits all) may be counterproductive. More research is required on the determinants and mechanisms to guide weight management interventions.