Body Weight Perception, Mental Health, and Weight Control Behavior in Normal Weight Adolescents: Based on the Korea National Health and Nutrition Examination Survey 2013-2015

Abstract

Background: Distorted body image plays a significant role in the development of obesity, eating problems, and eating disorders. The aim of this study was to investigate the relationship between distorted body image and lifestyle among Japanese adolescent boys and girls. Methods: Subjects were 1731 seventh graders (age 12-13 years) from the Ina-town's junior high schools, Japan, from [2005][2006][2007][2008][2009]. The height and weight of each subject were measured. Childhood underweight, overweight, and obesity were defined using the body mass index cutoff points proposed by the International Obesity Task Force. Information regarding the self-perceived weight status and lifestyles (exercise, snacking after dinner, breakfast, wakeup time, bedtime) of each subject was collected using a self-administered questionnaire. Self-perceived weight status was categorized into three groups (thin, normal, or heavy), and compared with the subjects' actual weight status. Body image perception was categorized into the following three groups: an underestimated own weight status group (underestimated group), a correct own weight status group (correct group) and an overestimated own weight status group (overestimated group). Results: The proportion of boys in the underestimated group was higher than that of girls, while the opposite was true for the overestimated group (P < 0.001). There were no statistically significant differences in lifestyle between the underestimated group and the correct group regardless of sex. In contrast, there were statistically significant differences between the overestimated group and the correct group in the lifestyle factors of exercise among boys and snacking after dinner among girls. The adjusted odds ratio (OR) in boys who exercised daily significantly decreased (OR: 0.35,, while a significantly increased OR was observed in girls who snacked after dinner (OR: 1.53, 95 % CI: 1.07-2.19). Conclusion: Adolescent boys tended to underestimate their body weight, whereas adolescent girls were likely to overestimate their body weight. Furthermore, lifestyle factors associated with distorted body image differed by sex, with exercise affecting body image perception among boys and snacking after dinner affecting body image perception among girls. Thus, lifestyle may lead to distorted body image among adolescents.

Network analysis based on big data in social media of Korean adolescents’ diet behaviors

“…Adolescents' values and attitudes toward their appearance are easily influenced by the mass media or their peer groups. Additionally, as this study's results have been supported by studies stating that even non-obese adolescents are highly preoccupied with their appearance, such as erroneously recognizing their body type as being obese, it shows that the betweenness centrality of "appearance" is particularly high in centrality analysis [24,32]. Disordered weight control behaviors should be considered when developing education programs to establish desirable weight control, given their prevalence among Korean adolescents [33], and their association with stress and depressive symptoms [24,34].…”

“…For keyword selection, it is desirable to select the most appropriate word for the research topic, while referring to the opinions of experts [ 24 ]. Therefore, in this study, the top 50 words were selected based on their TF-IDF values, which reflected the opinions of a high school counselor, public health teacher, and network analysis expert.…”

Does perceived overweight increase risk of depressive symptoms and suicidality beyond objective weight status? A systematic review and meta-analysis

“…Electronic database searches identified 10,398 unique records, an additional 41 articles were suggested by authors, or were identified in the reference lists of eligible articles or in supplementary searches. Full text review of 381 articles was conducted, which yielded 32 studies that were eligible for inclusion in the present review (listed in Appendix F, Supplemental Materials; Armstrong et al, 2014;ter Bogt et al, 2006;Brown and Blanton, 2002;Byeon, 2013;Byeon, 2015;Daly et al, 2017;Eaton et al, 2005;Frisco et al, 2010;Gaskin et al, 2013;Jansen et al, 2008;Kim, 2011;Kim et al, 2009;Kim, Kim, Cho, & Cho, 2008;Kinoshita et al, 2012;Lee, 2017;Lee, Seo, Shim, & Lee, 2015;Lenhart et al, 2011;Lo et al, 2009;Lo et al, 2011;Roberts & Duong, 2013;Schiefelbein et al, 2012;Seo & Lee, 2013;Shin et al, 2015;Swahn et al, 2009;Thurston et al, 2017;Ting et al, 2012;Xie et al, 2006;Yuan, 2007Yuan, , 2012Zeller et al, 2013;Zhao et al, 2012). From those studies, 110 eligible effect sizes were extracted or calculated (Figure 1).…”