| Kyoung Ae Kong | 2 Articles |
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[English]
This study aimed to investigate the prevalence of unhealthy dietary habits by maternal educational level and how the effect of maternal education changed between 2009 and 2019. Using data from the Korea Youth Risk Behavior Survey conducted between 2009 and 2019, we assessed the prevalence of each unhealthy dietary habit (insufficient consumption of milk and fruit/vegetable, breakfast-skipping, and frequent consumption of fast food, soft drinks, and instant noodles) and the prevalence difference between maternal middle/high school and college graduate groups in four periods. The models included maternal educational level, four periods and the interaction between them, sex, and grade. In addition, we estimated the ORs of unhealthy dietary habits between the two maternal educational groups at each period. Throughout the study period, unhealthy dietary habits were consistently more prevalent among mothers with lower education levels. Between 2009–2010 and 2017–2019, the prevalence of unhealthy dietary habits increased, with a particular increase in that of frequent consumption of fast food and soft drink. The prevalence differentials between the middle school and college graduate group decreased or did not differ, while those between the high school and college graduate groups increased over time. A similar trend was observed in the relative scale. Considering the increase in the prevalence of unhealthy dietary habits and the prevalence differentials by maternal educational level, targeted efforts are needed not only for all adolescents and their parents but also for those with low socioeconomic status to improve the dietary habits of adolescents.
[English]
The reliability of clinical measurements is critical to medical research and clinical practice. Newly proposed methods are assessed in terms of their reliability, which includes their repeatability, intra- and interobserver reproducibility. In general, new methods that provide repeatable and reproducible results are compared with established methods used clinically. This paper describes common statistical methods for assessing reliability and agreement between methods, including the intraclass correlation coefficient, coefficient of variation, Bland-Altman plot, limits of agreement, percent agreement, and the kappa statistic. These methods are more appropriate for estimating reliability than hypothesis testing or simple correlation methods. However, some methods of reliability, especially unscaled ones, do not clearly define the acceptable level of error in real size and unit. The Bland-Altman plot is more useful for method comparison studies as it assesses the relationship between the differences and the magnitude of paired measurements, bias (as mean difference), and degree of agreement (as limits of agreement) between two methods or conditions (e.g., observers). Caution should be used when handling heteroscedasticity of difference between two measurements, employing the means of repeated measurements by method in methods comparison studies, and comparing reliability between different studies. Additionally, independence in the measuring processes, the combined use of different forms of estimating, clear descriptions of the calculations used to produce indices, and clinical acceptability should be emphasized when assessing reliability and method comparison studies. Citations Citations to this article as recorded by
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, Kyunghee Jung-Choi
