{"title":"欧洲后共产主义国家收入不平等与 \"黄金青年 \"的危险健康行为:聚类分析","authors":"Armen Albert Torchyan , Inge Houkes , Hans Bosma","doi":"10.1016/j.pmedr.2024.102880","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><p>We aim to study the “golden youth” hypothesis, which suggests that risky behaviors might be prevalent among affluent adolescents in post-Communist countries of Europe (PCCE) with high income inequality.</p></div><div><h3>Methods</h3><p>We included 71,119 adolescents aged 11–15 from 14 PCCE participating in the Health Behavior in School-aged Children survey 2017/18. A K-means cluster analysis was conducted to group adolescents based on risky behavior. Generalized linear mixed models were fitted.</p></div><div><h3>Results</h3><p>The proportion of high-SEP adolescents in Cluster 2, characterized by frequent alcohol consumption but moderate frequency of drunkenness, was greater than that of low-SEP adolescents (14.3 % vs. 10.7 %). The prevalence of risky behaviors was similar for high and low-SEP adolescents in Cluster 3 (high smoking, frequent alcohol use, drunkenness, and moderate bullying) (8.0 % vs. 8.2 %) and Cluster 4 (high bullying perpetration) (6.7 % vs. 7.2 %). Countries with higher Gini index were at greater risk of reporting risky behaviors. High-SEP adolescents were more likely to engage in risky behaviors in countries with high income inequality. The odds ratios comparing high- vs. low-SEP adolescents ranged from 0.89 in the least unequal to 1.67 in the most unequal countries for multiple risky behaviors (Cluster 3: <em>P</em>-interaction = 0.042) and from 0.61 to 1.19 for bullying perpetration (Cluster 4: <em>P</em>-interaction = 0.030).</p></div><div><h3>Conclusions</h3><p>High-SEP adolescents in PCCE might be at increased risk for unhealthy and vicious behaviors, especially in countries with high income inequality. Redistributive policies decreasing the gap between rich and poor are needed to ensure the health and well-being of adolescents in PCCE.</p></div>","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S221133552400295X/pdfft?md5=bd0d1e3ffb03ac825c35dc4ddb2387b5&pid=1-s2.0-S221133552400295X-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Country-level income inequality and risky health behaviors of “golden youth” in the post-Communist countries of Europe: A cluster analysis\",\"authors\":\"Armen Albert Torchyan , Inge Houkes , Hans Bosma\",\"doi\":\"10.1016/j.pmedr.2024.102880\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objective</h3><p>We aim to study the “golden youth” hypothesis, which suggests that risky behaviors might be prevalent among affluent adolescents in post-Communist countries of Europe (PCCE) with high income inequality.</p></div><div><h3>Methods</h3><p>We included 71,119 adolescents aged 11–15 from 14 PCCE participating in the Health Behavior in School-aged Children survey 2017/18. A K-means cluster analysis was conducted to group adolescents based on risky behavior. Generalized linear mixed models were fitted.</p></div><div><h3>Results</h3><p>The proportion of high-SEP adolescents in Cluster 2, characterized by frequent alcohol consumption but moderate frequency of drunkenness, was greater than that of low-SEP adolescents (14.3 % vs. 10.7 %). The prevalence of risky behaviors was similar for high and low-SEP adolescents in Cluster 3 (high smoking, frequent alcohol use, drunkenness, and moderate bullying) (8.0 % vs. 8.2 %) and Cluster 4 (high bullying perpetration) (6.7 % vs. 7.2 %). Countries with higher Gini index were at greater risk of reporting risky behaviors. High-SEP adolescents were more likely to engage in risky behaviors in countries with high income inequality. The odds ratios comparing high- vs. low-SEP adolescents ranged from 0.89 in the least unequal to 1.67 in the most unequal countries for multiple risky behaviors (Cluster 3: <em>P</em>-interaction = 0.042) and from 0.61 to 1.19 for bullying perpetration (Cluster 4: <em>P</em>-interaction = 0.030).</p></div><div><h3>Conclusions</h3><p>High-SEP adolescents in PCCE might be at increased risk for unhealthy and vicious behaviors, especially in countries with high income inequality. Redistributive policies decreasing the gap between rich and poor are needed to ensure the health and well-being of adolescents in PCCE.</p></div>\",\"PeriodicalId\":2,\"journal\":{\"name\":\"ACS Applied Bio Materials\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2024-09-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S221133552400295X/pdfft?md5=bd0d1e3ffb03ac825c35dc4ddb2387b5&pid=1-s2.0-S221133552400295X-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Applied Bio Materials\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S221133552400295X\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MATERIALS SCIENCE, BIOMATERIALS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S221133552400295X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
Country-level income inequality and risky health behaviors of “golden youth” in the post-Communist countries of Europe: A cluster analysis
Objective
We aim to study the “golden youth” hypothesis, which suggests that risky behaviors might be prevalent among affluent adolescents in post-Communist countries of Europe (PCCE) with high income inequality.
Methods
We included 71,119 adolescents aged 11–15 from 14 PCCE participating in the Health Behavior in School-aged Children survey 2017/18. A K-means cluster analysis was conducted to group adolescents based on risky behavior. Generalized linear mixed models were fitted.
Results
The proportion of high-SEP adolescents in Cluster 2, characterized by frequent alcohol consumption but moderate frequency of drunkenness, was greater than that of low-SEP adolescents (14.3 % vs. 10.7 %). The prevalence of risky behaviors was similar for high and low-SEP adolescents in Cluster 3 (high smoking, frequent alcohol use, drunkenness, and moderate bullying) (8.0 % vs. 8.2 %) and Cluster 4 (high bullying perpetration) (6.7 % vs. 7.2 %). Countries with higher Gini index were at greater risk of reporting risky behaviors. High-SEP adolescents were more likely to engage in risky behaviors in countries with high income inequality. The odds ratios comparing high- vs. low-SEP adolescents ranged from 0.89 in the least unequal to 1.67 in the most unequal countries for multiple risky behaviors (Cluster 3: P-interaction = 0.042) and from 0.61 to 1.19 for bullying perpetration (Cluster 4: P-interaction = 0.030).
Conclusions
High-SEP adolescents in PCCE might be at increased risk for unhealthy and vicious behaviors, especially in countries with high income inequality. Redistributive policies decreasing the gap between rich and poor are needed to ensure the health and well-being of adolescents in PCCE.