Abstract
Background
Unhealthy snacking behaviors and body weight misperception are both significant concerns in adolescent health. Weight misperception are common among youth and may influence their motivation to engage in health-related behaviors, however, the effect on snacking patterns choice remains unclear. Our study aimed to examine the relationship between body weight misperception and snacking pattern choice among school adolescents.
Methods
A cross-sectional study was conducted using an online survey platform. Body weight misperception was defined based on perceived body weight and true weight. Snack intake was measured using a qualitative food-frequency questionnaire. Factor analysis was used to identify snacking patterns, and multiple linear regression was employed to examine the association between body weight misperception and snacking patterns.
Results
190,296 students with the average age of 13.3 ± 1.0 years was included, and 44.5% of students misperceived their weight. Overestimation was more prevalent than underestimation. Two snacking patterns, namely a high-calorie snacking pattern and a healthy snacking pattern, were identified with eigenvalues > 1. Weight underestimation was positively linked to high-calorie snacking pattern scores for both normal weight students (β: 0.16, 95% CI: 0.11, 0.21) and students with overweight/obesity (β: 0.44, 95% CI: 0.35, 0.52), and to healthy snacking scores for students with overweight/obesity (β: 0.28, 95% CI: 0.22, 0.33), but negatively linked to healthy snacking pattern scores for normal weight students (β: -0.12, 95% CI: -0.15, -0.09). Conversely, weight overestimation was negatively linked to both high-calorie and healthy snacking pattern scores for normal weight students (β: -0.07, 95% CI: -0.11, -0.04 and β: -0.13, 95% CI: -0.15, -0.10), but positively linked to healthy snacking scores for underweight students (β: 0.15, 95% CI: 0.08, 0.21). Interactions were found between sex, grade, accommodation, only child, primary guardians, parental education level and weight misperception to snacking patterns.
Conclusions
Adolescents with normal weight and overweight/obesity who misperceived their weight exhibited less healthy snacking patterns, whereas underweight students who misperceived their weight displayed healthier snacking patterns. Comprehensive programs are crucial to educate and guide adolescents in understanding their weight status and making healthier snack choices, involving families, schools, and society.
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Introduction
Adolescence, typically spanning from ages 10 to 19, represents a critical transitional period between childhood and adulthood [1]. It is a time of intense physical, psychological, and social development, laying the foundation for lifelong health and well-being [2]. However, alarming trends in childhood obesity have raised significant concerns regarding the health of adolescents. According to estimates by the World Obesity Federation, 206 million children and adolescents with obesity aged 5 − 19 years in 2025, and 254 million in 2030 [3]. Similarly, the Report on Nutrition and Chronic Diseases in China (2020) revealed that nearly 20% of Chinese children and adolescents with overweight or obesity aged 6 to 17, with boys exhibiting higher rates than girls [4]. Adolescent obesity, particularly during puberty, has been linked to a host of physical and mental health issues, including depression [5] and cardiovascular disease [6].
The association between physical health and lifestyle behaviors, particularly dietary habits and exercise, is well established [7]. Unhealthy eating behaviors may lead to energy imbalance and obesity. In China, snacking has become a prevalent dietary habit among children and adolescents [8]. Snacking refers to the consumption of food and drink outside of meal times, and is a growing area of concern in public health. While snacking can provide an additional source of energy, the impact on body weight needs to be considered in terms of frequency, portion size, and type of snacking consumed [7, 9]. Studies have demonstrated that high consumption of ultra-processed foods is strongly linked to adolescent and adult obesity [10, 11], oral health problems [12], and an increased risk of cardiovascular disease [13]. Furthermore, a diet high in ultra-processed foods may increase the risk of non-communicable diseases, while unprocessed or coarse processed foods may reduce the risk [14]. Therefore, interventions aimed at improving snack choices could prove effective in addressing the public health challenge of obesity [15].
Body image is a complex, multidimensional construct that encompasses an individual's self-perception and sensory experiences of their body, including their estimation of body size and attitudes toward their physical appearance [16]. Body weight misperception refers to the discrepancy between an individual's perceived weight and their actual weight [17]. Research has established a clear association between body weight misperception and eating behavior [18]. Perception of weight influences adolescents' lifestyle behaviors [19], including their eating habits and mental health outcomes [20]. For example, adolescents who overestimated their weight status are more likely to take behaviors for managing their weight compared to those who accurately perceive their weight status [21]. Notably, there was also a correlation between weight perception and high-calorie snacking behavior [22], with study indicating that adolescents who misperceive their weight tend to consume more snacks [17].
The majority of research on adolescent weight has concentrated on the association between snacking behavior and weight outcomes [23, 24]. However, the impact of weight perception on snacking intake, especially snacking patterns among Chinese adolescents, remains poorly understood. Thus, the aim of this study was to examine the association between body weight misperception and snacking patterns among school adolescents.
Methods
Study Design and Sample Collection
This cross-sectional study was conducted between December 2, 2021, and December 15, 2021, using the online survey platform “Questionnaire Star”. With the support of the Chongqing Municipal Education Commission, we adopted the convenient sampling method and selected 310 junior middle schools in 41 districts and counties of Chongqing as the survey sites. The questionnaire link or QR code was sent to the WeChat work groups of these schools. The teacher in charge forwarded the instructions and questionnaire to the parents through WeChat group of grades 7, 8, and 9. With the informed consent of parents and students, students filled in the questionnaire anonymously and independently on weekends or at home after school.
In total, 190,296 questionnaires from grades 7, 8, and 9 were included for analysis after excluding 11,855 outliers and missing data. This study was approved by the Ethics Committee of Chongqing Medical University. The informed consent form was at the beginning of the questionnaire, and the respondents gave their informed consent before they started to fill in the questionnaire.
Body weight misperception definition
Body weight and height measurements were self-reported. The four body mass index (BMI) categories of normal, underweight, overweight and obese were derived by using the ‘zbmicat’ STATA function, which uses age- and gender-adjusted BMI cut-offs from the International Obesity Taskforce (IOTF) [25]. Based on the survey data from Brazil, Great Britain, Hong Kong, the Netherlands, Singapore, and the United States, the percentile corresponding to a child's BMI curve passing through the adult cut-offs points at age 18, i.e. BMI of 18.50, 25.00 and 30.00 kg/m2, is defined as the cut-offs for underweight, overweight and obesity of different ages and sex from 2 to 18 years old [26]. Weight perception was assessed by the question “How would you rate your weight? (1- underweight, 2- normal weight, 3- overweight/obese)”. Body weight misperception was assessed by comparing participants' actual weight status to their self-perceived weight status. Students' self-perceived weight status was categorized as underestimation (self-perceived weight was lower than true BMI classification), correct (self-perceived weight equaled to true BMI classification) and overestimation (self-perceived weight was higher than true BMI classification).
Snack intake assessment
Intake of snacks was collected using a qualitative food frequency questionnaire (FFQ) based on China Children and Youth Snacks Guide [27]. The FFQ was revised by epidemiologists, statisticians, nutrition, and child health experts to ensure the validity and reliability of the questionnaire content, and has been validated in Chinese children [30]. It should be noted that, due to the presence of snack items with negative factor loadings, the scores could potentially be < 0. Consequently, each child was assigned a score for each snacking pattern, where higher scores indicated a stronger correspondence with the snacking pattern.
The relationship between body weight misperception and snacking patterns (pattern scores) was examined using multiple linear regression models. Model 1 adjusted for age, and model 2 further adjusted for sex, ethnicity, grade, accommodation, residence, an only child, primary guardians, and parents’ education. In the subgroup analyses, the multiplicative interaction between body weight misperception and covariates (sex, ethnicity, grade, accommodation, residence, the only child, primary guardians, and parents’ education) was examined by adding the product of the variables in the regression model.
All statistical analyses and data management were performed in STATA/MP (version 17.0 College Station, TX, USA). A two-tailed p-values < 0.05 were considered statistically significant for all analyses.
Results
Sample description
A total of 190,296 students from Chongqing were surveyed and included in the analysis. Table 1 presents the demographic characteristics of the sample, which had an average age of 13.3 ± 1.0 years, with a nearly equal proportion of males and females (50.2% vs. 49.8%). The majority of students were in grade 7 (35.6%) with fewer in grade 8 (32.5%) and grade 9 (31.9%), and most were Han Chinese (95.8%). The majority of students lived in urban areas (57.4%) and 44.6% were in school accommodation. Their parents' education level was mostly junior high school (fathers: 64.6%; mothers: 66.0%). The majority were not the only child in their family (76.7%), and the primary guardians were parents (68.0%), grandparents (10.2%), mixed (14.2%), and others (7.5%). The proportion of students categorized as normal, underweight, overweight/obese was 71.3%, 10.5%, 18.2%, respectively.
Body weight misperception by actual BMI categories and sex
The misperception of body weight across different actual BMI categories and sex are illustrated in Fig. 1. The findings reveal a higher prevalence of weight overestimation among students compared to weight underestimation (30.0% vs. 14.5%). Notably, a significant proportion of underweight students (44.8%) tended to overestimate their weight. Among students with a normal weight, more than half (50.6%) demonstrated weight misperception, with 35.5% overestimating and 15.1% underestimating their weight. In contrast, students categorized as overweight or obese displayed a lower likelihood of weight misperception, with only 20.3% underestimating their weight. Furthermore, the rate of weight misperception was found to be lower among boys compared to girls (39.1% vs. 50.0%). Boys exhibited a higher rate of underestimating their weight (22.2%), whereas girls had a higher rate of overestimating their weight (43.3%).
Snacking patterns identifying
Two snacking patterns were extracted by factor analysis named (1) high-calorie snacking pattern (characterized by high intake of potato chips and French fries; fried meat skewers; odd taste beans and marinated bean curd; high-sugar drinks; puffed food, cream cake, chocolate pie, and spicy gluten; sugar-coated nuts; hawthorn juice, iced tea, and Yakult; condensed milk; marshmallow, milk candy, fruit candy, and chocolate, etc.) and (2) healthy snacking pattern (characterized by high intake of boiled corn, unsweetened oats, and whole wheat bread; soybean milk and roasted soybeans; peanuts, melon seeds, and other nuts; fresh milk and yogurt; freshly squeezed fruit and vegetable juice; fresh fruits and vegetables; poached eggs; roasted sweet potatoes, steamed mashed potatoes, etc.). The two snacking patterns explained 39.6% and 18.8% of the snack intake variances respectively. Snack items at absolute factor loadings of ≥ 0.40 are shown in Table 2.
Association between body weight misperception and two snacking pattern scores
The results of the multiple linear regression are shown in Table 3. Following adjustment for potential covariates, weight underestimation was positively associated with high-calorie snacking pattern scores among normal weight students (β: 0.16, 95% CI: 0.11, 0.21) and students with overweight/obesity (β: 0.44, 95% CI: 0.35, 0.52), and was positively associated with healthy snacking pattern scores among students with overweight/obesity (β: 0.28, 95% CI: 0.22, 0.33), but was negatively associated with healthy snacking pattern scores among normal weight students (β: -0.12, 95% CI: -0.15, -0.09). Additionally, weight overestimation was negatively associated with high-calorie snacking pattern scores and healthy snacking pattern scores among normal weight students (β: -0.07, 95% CI: -0.11, -0.04 and β: -0.13, 95% CI: -0.15, -0.10), but was positively associated with healthy snacking pattern scores among underweight students (β: 0.15, 95% CI: 0.08, 0.21).
Subgroup analyses
There were significant interactions between weight misperception and sociodemographic factors (sex, grade, accommodation, only child, primary guardians, parental education level) in relation to snacking patterns. Notably, there was an interaction between sex and weight misperception in relation to both snacking patterns. The association between underestimation of weight and high-calorie snacking pattern was stronger among females than males. The inverse association between overestimation of weight and both snacking patterns was only significant among females but not males (Table 4).
Discussion
In this study, we explored snacking patterns and their association with body weight misperception in a sample of junior middle school students in Chongqing, China. Two snacking patterns were identified, named high-calorie snacking pattern and healthy snacking pattern. Our results revealed that almost half of the students in our sample misperceived their weight status, with overestimation of weight status being more prevalent than underestimation. This may be due to the aesthetic concept of thinness as beauty, leading many young people to focus on their body shape under social pressure to conform to the idea of thinness [31]. The weight misperception rate in our study was slightly higher than those reported among young adults in Pakistan (42.4%) [32], Mexico (36.9%) [33], Ghana (20.6%) [34], and among adolescents in Korea (34.1%) [35] and Spain (23.5%) [36], but similar to the study among adults in Guangdong, China (50.2%) [40].
Interestingly, our research also found that students categorized as overweight or obese represented a lower likelihood of weight misperception, with only 20.3% underestimating their weight. We surmise the tendency to overestimate weight can explain this phenomenon. Due to the social condemnation and media influence on people with overweight/obesity, few of them think that they is thin or normal, and weight misperception in people with overweight/obesity have only one option: underestimation. In addition, body weight misperceptions, including both underestimation and overestimation, could result in incorrect behaviors about weight control and eating [31]. Weight misperception, in particular overestimation, was related to psychological outcomes such as stress [40]. Therefore, programs and comprehensive interventions on correcting adolescent weight misperceptions to establish correct body image perceptions are necessary for the physical and mental health of teenagers. A contrary to commonly held thoughts study show weight misperception among youth who were overweight or obese predicted lower future weight gain. Thus, we should rigorously examine the efficacy of efforts to correct weight misperception to assess for both intended and unintended consequences [41].
It has been shown that adolescents' actual BMI status affects their self-reported weight and the associated weighting behavior, so different actual BMI classifications were considered in our analysis [42]. Incorrect perceptions of body weight have been linked to both healthy and unhealthy dieting behaviors [35, 43]. And our study revealed that compared to students who correctly perceived their weight, students with normal weight who underestimated their weight were more inclined to the high-calorie snacking pattern. Our findings are consistent with prior research that has reported an association between overestimating body weight and unhealthy snacking behaviors in adolescents [40, 44, 45], which can increase the risk of overweight and obesity. Adolescents with overweight or obesity who underestimated their weight prefer both of the snacking patterns above, indicating that those who misperceived their weight consumed more snacks, regardless of the snack type [46]. A study conducted in Indonesia similarly found that adolescent girls who underestimated their weight were 2.7 times more likely to consume deep-fried crackers compared to those who correctly assessed their weight [19]. But a study of 7–12 years old children in Guangzhou, China, reported that among overweight children, those who accurately perceived their weight had a higher intake of fruits and vegetables than those who underestimated their weight [47]. This difference may be attributed to the fact that the outcome variable in our study was the snacking pattern, which took into account the consumption of other types of crude processed foods, whereas the outcome variable in the Guangzhou study was only the intake of fruits and vegetables.
Meanwhile, many studies have identified the misperception of being with overweight or obesity among adolescents at normal weight as a risk factor for eating behavior disturbances [48, 49]. A study of Iranian children also showed that in comparison with the accurate-weight group, the overestimated-weight groups were less likely to have a daily consumption of sugar-sweetened beverages, sweets, and salty snacks [50]. Although snacking less may help to reduce the risk of obesity, the sequence of weight misperception, body dissatisfaction, and dieting (especially of healthy foods like vegetables, fruits, and milk) may lead to negative eating attitudes, which could increase the risk of various pathologies, including anxiety/depression, psychological distress symptoms, anorexia, and malnutrition [18, 49,
Conclusion
In conclusion, our study found that nearly half of the students misperceived their weight status and overestimation of weight status was more prevalent than underestimation. Adolescents with normal weight and overweight/obesity who misperceived their weight exhibited less healthy snacking patterns, whereas underweight students who misperceived their weight displayed healthier snacking patterns. Furthermore, there were significant interaction between sex, grade, accommodation, only child, primary guardians, parental education level and body weight misperception. To address this, it is important for families, schools, and society to implement comprehensive programs to help adolescents understand their weight status and guide them to make healthier snack choices. Those who underestimate their weight should be encouraged to reduce high-calorie snacks and focus on weight management, while those who overestimate their weight should eat more nutritious snacks instead of avoiding snacks altogether. This will reduce the risk of obesity, chronic diseases in the former, and anorexia and wasting in the latter.
Availability of data and materials
The datasets generated and/or analyzed during the current study are not publicly available due to funding requirements but are available from the corresponding author on reasonable request.
References:
WHO. (2023). Adolescent health. World Health Organization.https://www.who.int/health-topics/adolescent-health#tab=tab_1. Accessed 26 January 2023.
Sawyer SM, Afifi RA, Bearinger LH, Blakemore SJ, Dick B, Ezeh AC, et al. Adolescence: a foundation for future health. Lancet. 2012;379(9826):1630–40. https://doi.org/10.1016/S0140-6736(12)60072-5.
Lobstein T, Brinsden H. (2019). Atlas of childhood obesity. The World Obesity Federation.https://www.worldobesity.org/membersarea/global-atlas-on-childhood-obesity. Accessed 12 December 2022.
China TSCI. (2020). Press briefing for the Report on Chinese Residents' Chronic Diseases and Nutrition 2020. December 24, 2020 (in Chinese).http://www.gov.cn/xinwen/2020-12/24/content_5572983.htm. Accessed 15 December 2022.
Wang S, Sun Q, Zhai L, Bai Y, Wei W, Jia L. The prevalence of depression and anxiety symptoms among overweight/obese and non-overweight/non-obese children/adolescents in china: a systematic review and meta-analysis. Int J Environ Res Public Health. 2019;16(3):340. https://doi.org/10.3390/ijerph16030340.
Sommer A, Twig G. The impact of childhood and adolescent obesity on cardiovascular risk in adulthood: a systematic review. Curr Diab Rep. 2018;18(10):91. https://doi.org/10.1007/s11892-018-1062-9.
Verduci E, Bronsky J, Embleton N, Gerasimidis K, Indrio F, Koglmeier J, et al. Role of dietary factors, food habits, and lifestyle in childhood obesity development: a position paper from the European society for paediatric gastroenterology, hepatology and nutrition committee on nutrition. J Pediatr Gastroenterol Nutr. 2021;72(5):769–83. https://doi.org/10.1097/MPG.0000000000003075.
Du W, Wang H, Wang D, Su C, Zhang J, Ouyang Y, et al. [Meal and snack consumption among Chinese children and adolescents in twelve provinces]. Wei Sheng Yan Jiu. 2016;45(6):876–905. https://doi.org/10.19813/j.cnki.weishengyanjiu.2016.06.031.
Hess JM, Jonnalagadda SS, Slavin JL. What is a snack, why do we snack, and how can we choose better snacks? A review of the definitions of snacking, motivations to snack, contributions to dietary intake, and recommendations for improvement. Adv Nutr. 2016;7(3):466–75. https://doi.org/10.3945/an.115.009571.
Askari M, Heshmati J, Shahinfar H, Tripathi N, Daneshzad E. Ultra-processed food and the risk of overweight and obesity: a systematic review and meta-analysis of observational studies. Int J Obes (Lond). 2020;44(10):2080–91. https://doi.org/10.1038/s41366-020-00650-z.
Costa CS, Del-Ponte B, Assuncao M, Santos IS. Consumption of ultra-processed foods and body fat during childhood and adolescence: a systematic review. Public Health Nutr. 2018;21(1):148–59. https://doi.org/10.1017/S1368980017001331.
Achalu P, Zahid N, Sherry DN, Chang A, Sokal-Gutierrez K. A qualitative study of child nutrition and oral health in El Salvador. Int J Environ Res Public Health. 2019;16(14):2508. https://doi.org/10.3390/ijerph16142508.
Srour B, Fezeu LK, Kesse-Guyot E, Alles B, Mejean C, Andrianasolo RM, et al. Ultra-processed food intake and risk of cardiovascular disease: prospective cohort study (NutriNet-Sante). BMJ. 2019;365:l1451. https://doi.org/10.1136/bmj.l1451.
Jardim MZ, Costa B, Pessoa MC, Duarte CK. Ultra-processed foods increase noncommunicable chronic disease risk. Nutr Res. 2021;95:19–34. https://doi.org/10.1016/j.nutres.2021.08.006.
O'Connor L, Brage S, Griffin SJ, Wareham NJ, Forouhi NG. The cross-sectional association between snacking behaviour and measures of adiposity: the Fenland Study, UK. Br J Nutr. 2015;114(8):1286–93. https://doi.org/10.1017/S000711451500269X.
Slade PD. What is body image? Behav Res Ther. 1994;32(5):497–502. https://doi.org/10.1016/0005-7967(94)90136-8.
San MM, de Assumpcao D, Barros M, Barros FA, Mattei J. Weight self-perception in adolescents: evidence from a population-based study. Public Health Nutr. 2021;24(7):1648–56. https://doi.org/10.1017/S1368980021000690.
Jauregui-Lobera I, Iglesias CA, Sanchez RJ, Arispon CJ, Andrades RC, Herrero MG, et al. Self-perception of weight and physical fitness, body image perception, control weight behaviors and eating behaviors in adolescents. Nutr Hosp. 2018;35(5):1115–23. https://doi.org/10.20960/nh.1726.
Niswah I, Rah JH, Roshita A. The association of body image perception with dietary and physical activity behaviors among adolescents in Indonesia. Food Nutr Bull. 2021;42(1suppl):109–21. https://doi.org/10.1177/0379572120977452.
Moehlecke M, Blume CA, Cureau FV, Kieling C, Schaan BD. Self-perceived body image, dissatisfaction with body weight and nutritional status of Brazilian adolescents: a nationwide study. J Pediatr (Rio J). 2020;96(1):76–83. https://doi.org/10.1016/j.jped.2018.07.006.
Song L, Zhang Y, Chen T, Maitusong P, Lian X. Association of body perception and dietary weight management behaviours among children and adolescents aged 6–17 years in China: cross-sectional study using CHNS (2015). BMC Public Health. 2022;22(1):175. https://doi.org/10.1186/s12889-022-12574-6.
Fu L, Wang H, Sun L, Yang Y, Li X, Wang S, et al. [Analysis on influence factors of body image dissatisfaction among children and adolescents with normal weight]. Zhonghua Yu Fang Yi Xue Za Zhi. 2015;49(5):411–8.
Larson NI, Miller JM, Watts AW, Story MT, Neumark-Sztainer DR. Adolescent snacking behaviors are associated with dietary intake and weight status. J Nutr. 2016;146(7):1348–55. https://doi.org/10.3945/jn.116.230334.
Poorolajal J, Sahraei F, Mohamdadi Y, Doosti-Irani A, Moradi L. Behavioral factors influencing childhood obesity: a systematic review and meta-analysis. Obes Res Clin Pract. 2020;14(2):109–18. https://doi.org/10.1016/j.orcp.2020.03.002.
Scott S, Pant A, Nguyen PH, Shinde S, Menon P. Demographic, nutritional, social and environmental predictors of learning skills and depression in 20,000 Indian adolescents: findings from the UDAYA survey. PLos One. 2020;15(10):e240843. https://doi.org/10.1371/journal.pone.0240843.
Cole TJ, Bellizzi MC, Flegal KM, Dietz WH. Establishing a standard definition for child overweight and obesity worldwide: international survey. BMJ. 2000;320(7244):1240–3. https://doi.org/10.1136/bmj.320.7244.1240.
Institute Of Nutrition And Health CCFD. China children and youth snacks guide. Bei**g, China: People’s Health Publishing House; 2018.
**e C. Development and application of "eatcivilized" scale of knowledge, attitude, and practice for middle school students in Chongqing. Chongqing Medical University; 2022. 1 [in Chinese] https://doi.org/10.27674/d.cnki.gcyku.2022.001192.
Zhou J, Sheng J, Fan Y, Zhu X, Tao Q, Liu K, et al. The effect of Chinese famine exposure in early life on dietary patterns and chronic diseases of adults. Public Health Nutr. 2019;22(4):603–13. https://doi.org/10.1017/S1368980018003440.
Moreira P, Santos S, Padrão P, Cordeiro T, Bessa M, Valente H, et al. Food patterns according to sociodemographics, physical activity, slee** and obesity in Portuguese children. Int J Environ Res Public Health. 2010;7(3):1121–38. https://doi.org/10.3390/ijerph7031121.
Yan H, Wu Y, Oniffrey T, Brinkley J, Zhang R, Zhang X, et al. Body weight misperception and Its association with unhealthy eating behaviors among adolescents in China. Int J Environ Res Public Health. 2018;15(5):936. https://doi.org/10.3390/ijerph15050936.
Saleem MD, Ahmed G, Mulla J, Haider SS, Abbas M. Weight misperception amongst youth of a develo** country: Pakistan -a cross-sectional study. BMC Public Health. 2013;13:707. https://doi.org/10.1186/1471-2458-13-707.
Drumond AF, Raffaelli M, Teran-Garcia M, Jerman JA, Aradillas GC. Weight status misperception among Mexican young adults. Body Image. 2012;9(1):184–8. https://doi.org/10.1016/j.bodyim.2011.10.006.
Mogre V, Aleyira S, Nyaba R. Misperception of weight status and associated factors among undergraduate students. Obes Res Clin Pract. 2015;9(5):466–74. https://doi.org/10.1016/j.orcp.2015.03.002.
Lee G, Ha Y, Vann JJ, Choi E. Weight perception and dieting behavior among Korean adolescents. J Sch Nurs. 2009;25(6):427–35. https://doi.org/10.1177/1059840509333788.
Jáuregui-Lobera I, Bolaños-Ríos P, Santiago-Fernández MJ, Garrido-Casals O, Sánchez E. Perception of weight and psychological variables in a sample of Spanish adolescents. Diabetes Metab Syndr Obes. 2011;4:245–51. https://doi.org/10.2147/DMSO.S21009.
Xu BY, Zhang YH, Ma WJ, Xu YJ, Song XL, Nie SP, et al. [Prevalence regarding weight misperception and related influencing factors among residents in Guangdong province]. Zhonghua Liu **ng Bing Xue Za Zhi. 2011;32(10):964–8.
Hazzard VM, Hahn SL, Sonneville KR. Weight misperception and disordered weight control behaviors among U.S. High school students with overweight and obesity: associations and trends, 1999–2013. Eat Behav. 2017;26:189–95. https://doi.org/10.1016/j.eatbeh.2017.07.001.
Thompson JK, Cafri G. The muscular ideal: psychological, social, and medical perspectives. American Psychological Association; 2007.
Lim H, Wang Y. Body weight misperception patterns and their association with health-related factors among adolescents in South Korea. Obes (Silver Spring). 2013;21(12):2596–603. https://doi.org/10.1002/oby.20361.
Sonneville KR, Thurston IB, Milliren CE, Kamody RC, Gooding HC, Richmond TK. Helpful or harmful? Prospective association between weight misperception and weight gain among overweight and obese adolescents and young adults. Int J Obes (Lond). 2016;40(2):328–32. https://doi.org/10.1038/ijo.2015.166.
De Vriendt T, Huybrechts I, Ottevaere C, Van Trimpont I, De Henauw S. Validity of self-reported weight and height of adolescents, its impact on classification into BMI-categories and the association with weighing behaviour. Int J Environ Res Public Health. 2009;6(10):2696–711. https://doi.org/10.3390/ijerph6102696.
Pasch KE, Klein EG, Laska MN, Velazquez CE, Moe SG, Lytle LA. Weight misperception and health risk behaviors among early adolescents. Am J Health Behav. 2011;35(6):797–806. https://doi.org/10.5993/ajhb.35.6.15.
Shirasawa T, Ochiai H, Nanri H, Nishimura R, Ohtsu T, Hoshino H, et al. The relationship between distorted body image and lifestyle among Japanese adolescents: a population-based study. Arch Public Health. 2015;73(1):32. https://doi.org/10.1186/s13690-015-0082-z.
Zhao M, Zhang M, Zhou X, Yang H, Yang Y, Yang N. Weight misperception and its barriers to keep health weight in Chinese children. ACTA PAEDIATR. 2012;101(12):e550–6. https://doi.org/10.1111/apa.12011.
Tripicchio GL, Kachurak A, Davey A, Bailey RL, Dabritz LJ, Fisher JO. Associations between snacking and weight status among adolescents 12–19 years in the United States. Nutrients. 2019;11(7):1486. https://doi.org/10.3390/nu11071486.
Cai L, Zhang T, Ma J, Ma L, **g J, Chen Y. Self-perception of weight status and its association with weight-related knowledge, attitudes, and behaviors among Chinese children in Guangzhou. J Epidemiol. 2017;27(7):338–45. https://doi.org/10.1016/j.je.2016.08.011.
Bašková M, Holubčíková J, Baška T. Body-image dissatisfaction and weight-control behaviour in Slovak adolescents. Cent Eur J Public Health. 2017;25(3):216–21. https://doi.org/10.21101/cejph.a4724.
ter Bogt TF, van Dorsselaer SA, Monshouwer K, Verdurmen JE, Engels RC, Vollebergh WA. Body mass index and body weight perception as risk factors for internalizing and externalizing problem behavior among adolescents. J Adolesc Health. 2006;39(1):27–34. https://doi.org/10.1016/j.jadohealth.2005.09.007.
Angoorani P, Heshmat R, Ejtahed HS, Qorbani M, Motlagh ME, Ziaodini H, et al. Body weight misperception and health-related factors among Iranian children and adolescents: the CASPIAN-V study. J Pediatr Endocrinol Metab. 2017;30(10):1033–40. https://doi.org/10.1515/jpem-2017-0149.
**e B, Chou CP, Spruijt-Metz D, Reynolds K, Palmer PH, Wu Q, et al. Longitudinal analysis of weight perception and psychological factors in Chinese adolescents. Am J Health Behav. 2011;35(1):92–104. https://doi.org/10.5993/ajhb.35.1.9.
Njike VY, Smith TM, Shuval O, Shuval K, Edshteyn I, Kalantari V, et al. Snack food, satiety, and weight. Adv Nutr. 2016;7(5):866–78. https://doi.org/10.3945/an.115.009340.
Basiak-Rasała A, Górna S, Krajewska J, Kolator M, Pazdro-Zastawny K, Basiak A, et al. Nutritional habits according to age and BMI of 6-17-year-old children from the urban municipality in Poland. J Health Popul Nutr. 2022;41(1):17. https://doi.org/10.1186/s41043-022-00296-9.
Wall CR, Stewart AW, Hancox RJ, Murphy R, Braithwaite I, Beasley R, et al. Association between frequency of consumption of fruit, vegetables, nuts and pulses and BMI: analyses of the International Study of Asthma and Allergies in Childhood (ISAAC). Nutrients. 2018;10(3):316. https://doi.org/10.3390/nu10030316.
Zadka K, Pałkowska-Goździk E, Rosołowska-Huszcz D. Relation between environmental factors and children’s health behaviors contributing to the occurrence of diet-related diseases in Central Poland. Int J Environ Res Public Health. 2018;16(1):52. https://doi.org/10.3390/ijerph16010052.
Wijnhoven TM, van Raaij JM, Sjöberg A, Eldin N, Yngve A, Kunešová M, et al. WHO European Childhood Obesity Surveillance Initiative: School nutrition environment and body mass index in primary schools. Int J Environ Res Public Health. 2014;11(11):11261–85. https://doi.org/10.3390/ijerph111111261.
Blumfield M, McConnell A, Petocz P, Rouf A, Duve E, Teasdale SB, et al. Relationship between discretionary food intake and sex, body image, health, and geographical remoteness among Indigenous Australian adolescents. Nutr Diet. 2022;80(1):73–84. https://doi.org/10.1111/1747-0080.12732.
Gao L, Zhu J, Wang L, Wen LM, Chen Z, Zhao B, et al. Interactions between self-perceived weight status and lifestyle behaviors and their associations with childhood obesity: results from the childhood obesity study in China Mega-Cities. Int J Environ Res Public Health. 2022;19(16):9921. https://doi.org/10.3390/ijerph19169921.
Nowak M. The weight-conscious adolescent: body image, food intake, and weight-related behavior. J Adolesc Health. 1998;23(6):389–. https://doi.org/10.1016/s1054-139x(97)00263-2. 98.
Roblin L. Childhood obesity: food, nutrient, and eating-habit trends and influences. Appl Physiol Nutr Metab. 2007;32(4):635–45. https://doi.org/10.1139/H07-046.
Verplanken B, Tangelder Y. No body is perfect: the significance of habitual negative thinking about appearance for body dissatisfaction, eating disorder propensity, self-esteem and snacking. Psychol Health. 2011;26(6):685–701. https://doi.org/10.1080/08870441003763246.
Pearson N, Ball K, Crawford D. Predictors of changes in adolescents’ consumption of fruits, vegetables and energy-dense snacks. Br J Nutr. 2011;105(5):795–803. https://doi.org/10.1017/S0007114510004290.
Niven P, Scully M, Morley B, Baur L, Crawford D, Pratt IS, et al. What factors are associated with frequent unhealthy snack-food consumption among Australian secondary-school students? Public Health Nutr. 2015;18(12):2153–60. https://doi.org/10.1017/S1368980014002675.
Wang CW, Chen DR, Chan CC, Yeh YP, Chen HH. I knew i should stop, but i couldn’t control myself’: a qualitative study to explore the factors influencing adolescents’ consumption of sugar-sweetened beverages and sugary snacks from a socio-ecological perspective. Public Health Nutr. 2022;25(9):2465–74. https://doi.org/10.1017/S1368980022001185.
Yee AZ, Lwin MO, Ho SS. The influence of parental practices on child promotive and preventive food consumption behaviors: a systematic review and meta-analysis. Int J Behav Nutr Phys Act. 2017;14(1):47. https://doi.org/10.1186/s12966-017-0501-3.
Broccoli S, Bonvicini L, Djuric O, Candela S, Davoli AM, Ferrari E, et al. Understanding the association between mother’s education level and effectiveness of a child obesity prevention intervention: a secondary analysis of an RCT. Epidemiol Prev. 2020;44(1):153–62 https://doi.org/10.19191/EP20.5-6.S1.P153.085.
Nilsen SM, Krokstad S, Holmen TL, Westin S. Adolescents’ health-related dietary patterns by parental socio-economic position, the Nord-Trøndelag Health Study (HUNT). Eur J Public Health. 2010;20(3):299–305. https://doi.org/10.1093/eurpub/ckp137.
Yan SQ, Cao H, Gu CL, Xu YQ, Ni LL, Tao HH, et al. [Dietary patterns among preschoolers and its association with education level of the parents]. Zhonghua Liu **ng Bing Xue Za Zhi. 2017;38(8):1060–3. https://doi.org/10.3760/cma.j.issn.0254-6450.2017.08.012.
Damen FWM, Luning PA, Fogliano V, Steenbekkers BLPA. What influences mothers’ snack choices for their children aged 2–7? Food Qual Prefer. 2019;74:10–20. https://doi.org/10.1016/j.foodqual.2018.12.012.
Acknowledgements
The authors would like to thank all participants and research assistants who help to complete the study.
Funding
This project was supported by the science popularization and communication research fund of China Nutrition Society (grant number CNS-SCP2020-34).
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KJ contributed to the conception and analysis. KJ and YZ contributed to interpretation of data, drafted the report and received the final version for publication. CX organized the database. TW, LZ and WZ contributed to analyzing and interpreting the data. ZS and MS commented on the report and revised the manuscript. YZ (Yong Zhao) took charge of project administration and supervision. MS, ZS, and YZ (Yong Zhao) were responsible for writing—review and editing. All authors have read and agreed to the published version of the manuscript.
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This study was approved by the Ethics Committee of Chongqing Medical University (Record number: 2021041). All methods were performed according to the Declaration of Helsinki. Written informed consent was obtained from the parents or caregivers of the all adolescents.
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The authors declare that they have no competing interests.
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Ke Jiang and Yu Zhang contributed equally to this work
Supplementary Information
Additional file 1: Supplementary Table 1.
Snacking Frequency Questionnaire.
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Jiang, K., Zhang, Y., **e, C. et al. Association between body weight misperception and snacking patterns among adolescents: a population-based cross-sectional study. BMC Public Health 23, 2550 (2023). https://doi.org/10.1186/s12889-023-17316-w
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DOI: https://doi.org/10.1186/s12889-023-17316-w