Journal of Obesity

Journal of Obesity / 2018 / Article

Research Article | Open Access

Volume 2018 |Article ID 7309878 |

Nihaya A. Al-sheyab, Tamer Gharaibeh, Khalid Kheirallah, "Relationship between Peer Pressure and Risk of Eating Disorders among Adolescents in Jordan", Journal of Obesity, vol. 2018, Article ID 7309878, 8 pages, 2018.

Relationship between Peer Pressure and Risk of Eating Disorders among Adolescents in Jordan

Academic Editor: Eliot Brinton
Received15 Apr 2018
Revised24 Jun 2018
Accepted12 Aug 2018
Published19 Sep 2018


Background. The prevalence of disordered eating behaviors (DEBs) have increased worldwide. It is estimated that about 31.6% of Jordanian adolescents developed DEB. Engaging in peer groups is a prominent event in which adolescents try to belong to peers as part of exploring their social identity. Purpose. To assess the relationship between risk of eating disorders and peer pressure among adolescents. Methods. A descriptive, correlational, cross-sectional design utilized multistage cluster sampling technique was used to recruit students from 8th to 10th grades from both sexes from schools in northern Jordan. Data were collected from a self-administered, online questionnaire which was given to 738 participants. Results. The difference in overall mean of the Inventory of Peer Influence on Eating Concerns (I-PIEC) between adolescents with disordered eating behaviors and normal eating behaviors states was statistically significant. Scores for interaction peer pressure means were statistically higher for girls than for boys; conversely, likeability mean scores were statistically higher for boys than girls. Conclusions. The current findings suggest that healthcare professionals are encouraged to conduct appropriate school-based primary prevention for disordered eating behaviors.

1. Introduction

Disordered eating behaviors (DEBs) are defined as unhealthy eating action and habit to maintain body weight that involve strict dietary habit [1] and failure to maintain appropriate eating behavior [2]. Recently, DEB has become an issue worldwide, especially among adolescents [3]. The DEBs are relatively high among adolescents. It is estimated about 54.9% among Norwegian adolescents [4], 26.4% in Turkey [5], 14.4% in USA, 23.4% in Emirates [6], and 31.6% in Jordan [7, 8] have engaged in at least one DEB including dieting, binge eating, fasting, skipping meals, or excessive exercising.

During adolescence, DEB tends to increase as a result of changes in psychological, biological, and environmental-social aspects [9, 10]. Biological factors include body mass index (BMI) and pubertal timing [11]. For example, it was found that pubertal phase was an important factor to develop disordered eating among large community male and female samples aged 13 to 16 years [12]. This result was in line with a longitudinal study that had been conducted over 8 years on 1430 adolescents [11]; the association between pubertal development and disordered eating behaviors was mainly assessed at three points, when participants aged from 13 to 14 years, 16 to 17 years, and 19 to 20 years; the result showed that pubertal development was a predictor for disordered eating behaviors during early and middle adolescence. Furthermore, advanced pubertal development predicted dieting during late adolescence. Psychological factors involve positive or negative impact on perception of self-esteem [13]. A cross-sectional study had been conducted on females revealed that self-esteem is a predictor factor for disordered eating behaviors but not considered primary predictor; however, it seems to play an important influential role on the type of eating disorders. For example, it was found that low self-esteem with stress is a primary predictor for bulimia nervosa [14].

Extrinsic factors depend on physical environment, Societal, and Socioenvironmental factors. Physical environment include feasibility of junk food; for instance, The literature found that high consumption of snacks and junk food is higher among adolescents who have peers adopting similar eating habits [15]. Societal factors include mass media and marketing [16, 17]. Food marketing via commercial television or special channel marketing such as magazine or email text message may influence the selected food by adolescents and their eating behaviors [18]. Socioenvironmental factors include family and peer influence [19]. Family shares their behaviors and attitude with each other overtime (park, Burie 2008).

Development of DEB among adolescents has a tendency to continue during adulthood [2]. DEBs are associated with functional consequences including an increase in medical morbidity and mortality, health care utilization, and social role adjustment problems [21].

Moreover, engaging in peer groups is a prominent occurrence where adolescents try to belong to peer entities as part of exploring their social identity [22]. Erikson explained this phenomenon as exploring their individuality to avoid identity diffusion and confusion [23]. The bond within peer groups can have a positive or negative effect on adolescents’ health [24]; however, DEB tends to increase within the peer group as a result of negative peer pressure [25, 26]. Adolescence is a stage of vulnerability, especially among girls, which could increase the risk of engaging in DEB because adolescents begin focusing on body image as a result of the changes related to puberty, including sudden weight gain [27]. Research on the sociocultural context of adolescents has mostly focused on media and parental pressure on adolescents, while peer pressure has received less attention [28].

Oliver and Thelen [29] made an approximation to children’s perceptions of peer influence through the development of the Inventory of Peer Influence on Eating Concerns (I-PIEC) and thus suggested three domains of perception of peer pressure on DEB among boys and girls. The first domain is message pressure such as weight-related teasing (WRT) from peers about body weight [29]. The WRT has been seen as a form of bullying and peer victimization [30]. Additionally, WRT by peers has been identified as a strong predictor factor for DEB, particularly, in early adolescence [31]. Interaction between peers is the second domain, during which they share concerns about eating behaviors and body shape. Likeability pressure comprises the third domain; this is the perception of being more liked when having a thin body. One study identified message and likeability as predictors for DEB but interaction was not [32].

Although several studies excluded boys [19], messages were found to be associated with DEB among boys as well [32]. Although likability is the strongest motivation factor for DEB, messages, particularly weight-related teasing (WRT), is the most studied form of peer influence on eating behaviors and body image [33]. Of the three domains, interaction and likeability among peers are seen to be indirect factors for body satisfaction and dissatisfaction while message is found to directly influence DEB.

Previous studies found that girls who reported engaging in interaction with their friends about body weight and appearance and those who perceived likability if they were thinner among peers were more likely to develop the internalization of being thin to become beautiful, perceiving thin as the standard for beauty [33, 34]. Subsequently, this internalization of the thin ideal will influence the tendency to compare one’s own body and appearance to that of others. Consequently, the internalization of thin ideal as well as body and appearance comparisons could influence the degree of body satisfaction and lead to developing DEB [19, 34].

2. Theoretical Framework

Two constructs of social cognitive theory [35], reinforcement and modeling, are applied in the current study to explain the pathway of influence for peer pressure on social reinforcement of DEB. Reinforcement is an important construct especially when the messages such as WRT from others, especially peers, tend to support that thin is an ideal of beauty, so this reinforces internalization of the thin ideal in the community. Moreover, teasing tends to enhance body dissatisfaction and encourage engaging in disordered eating behaviors to achieve thin and beauty of the body weight and body appearance.

According to one study, modeling is defined as “learning that occurs by virtue of witnessing another person perform a behavior” [36]. The interaction could support modeling when the adolescent talks about behavior used to achieve the thin ideal, and then they use the same unhealthy behaviors they see others perform. This may lead to the development of DEB. Moreover, the perception of being thin will increase adolescent’s likeability among peers, so this can enhance DEB to achieve the thin ideal.

Jordan is an example of a developing country with low economic status that is moving towards a Western lifestyle [8]. This movement could affect the culture and norms, especially those related to eating behavior developments such as the spread and wide accessibility of fast-food restaurants, thus exposing youth to eat unhealthy food more often with their peers [37]. In spite of the increasing prevalence of DEB among Jordanian adolescents [8, 37], there is no study identifying the relationship between peer pressure and eating behaviors among adolescents from both genders in Jordan. The main aim of the current study therefore was to assess the relationship between risk for eating disorders and peer pressure among adolescent boys and girls.

3. Methods

3.1. Design

A descriptive, correlational, cross-sectional design was used to assess the relationship between peer pressures and disordered eating behaviors among Jordan’s adolescents. This research and all study procedures were approved by the Institutional Review Board (IRB) at Jordan University of Science and Technology and the Ministry of Education in Jordan.

3.2. Population and Sample

A multistage cluster random sampling technique was used in this study to recruit junior high students aged 13 years to 16 years old from both genders from grades 8 to 10. During the first stage, a sample of four districts was selected from a list of all eight districts in northern Jordan using a simple random sampling technique.

In total, 123 Jordanian secondary schools were identified and were stratified by the type of school (16 private and 107 public). Then, the list of the public schools was stratified by gender (52 female schools and 55 male schools) with final random selection, using simple random sampling technique; of eight public schools (4 boy schools and 4 girl schools). In regards to the private schools, a total of three were selected by convenience sampling technique as the educational system in private schools in Jordan is stricter in terms of involving students in research that could affect teaching process, although it usually does not. Nonetheless, private schools were a better setting for us to conduct the online survey at as the schools are well equipped with computers and good internet access. Overall, there are no differences between schools in Jordan except for the type of school (private vs public) where the majority are academic schools. The main difference between private and public schools is the quality of services provided like transportation, scrub clothes, uniforms, and sanitations. Of the 800 eligible adolescents invited to participate in the study, 738 (92.3%) completed the online survey and about 44.7% of boys () and 55.3% of girls () were randomly selected from 8th to 10th grades from schools () in the northern part of Jordan, using the simple random selection technique.

4. Measures

4.1. Disordered Eating Behaviors

Eating Attitude Tests (EAT-26) questionnaire was developed to measure students’ eating behavior and the associated risk/symptoms for eating disorders [38]. The EAT-26 scale assesses a broad range of DEBs such as dieting behaviors, drive for thinness, the bulimia nervosa tapped binge eating, self-induced vomiting, oral control eating, and excessive exercise [37]. The EAT-26 contains 26 items referring to various DEBs (e.g., avoid eating when I am hungry.). Each item uses six points Likert-type ranging from “always” to “never”. A score of three points was given for “always”, two points for “usually”, and one for “often”. Scores “sometimes,” “rarely,” and “never” were scored zero. This is accepted for items up to 25 items, while scoring of the item 26 is vice versa; a score of three points was given for “often,” two points for “usually,” and one point for “always”. The possible range of scores is 0 to 78 points. The participant is considered at high risk of DEB and needs further investigation when the total score is 20 points or above [38].

The EAT-26 scale has been widely used with acceptable reliability and validity in nonclinical samples of boys and girls [38]. Also, the EAT-26 was validated in the Arabic language (Cronbach’s alpha value 0.80) [37] and used among Jordanian girls aged between 10 and 16 years. In the present sample, Cronbach's alpha for EAT-26 scale was 0.69 which reflects adequate internal consistency reliability.

4.2. Peer Pressure

The final product of the Inventory of Peer Influence on Eating Concerns (I-PIEC) Arabic version contains 16 items for males and 18 items for females [29]. Boys and girls were asked to respond to the items on a five likert-type scale from 1 to 5 (1 = never, 2 = almost never, 3 = not very often, 4 = sometimes, and 5 = a lot). The I-PIEC component from the three constructs includes message subscale which has 8 items for both genders (e.g., friends tease me or make fun of me about the size or shape of my body), interaction subscale that measured the frequency that adolescents interacted (talked, exercised, and compared bodies) about eating or body image and has 3 items for boys (e.g., boys and I compare the size and shape of our bodies) and 5 items for girls (e.g., I talk with girls about what types of food make people fat), and finally, likability subscale, which measured the degree to which adolescents believed that being thin would increase their likeability among peers. The likeability subscale for boys has 5 items (e.g., I think that boys think I would look better thinner) and 5 items for girls (e.g., If I were thinner, I think that girls would want to sit next to me more often).

The I-PIEC instrument was translated into Arabic language by an expert bilingual translator and translated back into English language by a native speaker to guarantee accurate translation. Content validity was obtained by asking two independent faculty professors in the nursing faculty, one doctor from the collage of Nutrition and one doctor from Arabic literature to validate it. The experts recommended that the original messages subscale, which has 12 items, should have 4 items deleted as they were not suitable in Arabic culture. The 4 deleted items were meant to be asked to both genders if they are at the same school. The culture in Jordan is somehow conservative and the majority of schools, especially public schools, after the age 10 years are unisex, thus boys and girls go to separate schools.

Additionally, the internal consistency reliability (Cronbach’s alpha) of the instrument in the current study for girls and boys were 0.86 and 0.90, respectively. Interestingly, the I-PIEC scale was constructed for Western culture, in which the majority of schools are coeducational but Arab schools are mostly unisex. There are no reports published for the psychometric properties of the I-PIEC in Arab countries. The final I-PIEC translated Arabic version contains 16 items for boys and 18 items for girls. Boys were asked 16 items on five-point likert scale from 1 = never, 2 = almost never, 3 = not very often, 4 = sometimes, and 5 = a lot. The possible range of scores is 16–80 points. Girls were asked 18 items on five-point likert scale with possible scores ranging from 18 to 90 points.

5. Procedure

All students recruited for participating in the study were invited to voluntarily assent and obtain signed consent forms from their parents. On the following day, written consent forms, which were signed by parents, were collected from students by the researchers. On the day of data collection, participants were included in the study only if they agreed to participate without having any pressure from parents, teachers, or the investigator. To assure confidentiality, school teachers were not allowed to see students’ answers. Before proceeding, the participants were informed that they have the right to refuse to answer any question by selecting the choice “no answer” and to withdraw from the study at any time without any penalties.

Data collection consisted of direct measurement and an online survey which was developed by the researcher using Google drive forms. Selected answers were connected to the researcher’s drive directly as an excel sheet. Students who only had the desire to participate in the study were asked to complete the online Google survey during the sport and/or the art classes at the computer lab in the school.

6. Ethical Considerations

The research obtained approval from the Institutional Review Board (IRB) at Jordan University of Science and Technology, Jordan. All students who were recruited in the study had been asked voluntarily to sign child informed assent as well as a parental informed consent after explaining the purpose, potential risk, and procedure. They also were informed that they have the right to refuse answering any questions and withdrawing from the study at any time without any penalties. The confidentiality and anonymity were carefully protected and ensured during all stages of the study.

7. Data Analysis

Data were analyzed using IBM, SPSS statistics version 21. Descriptive statistics including the number and percentage were presented along with mean (standard deviation) as appropriate. Chi-square test was used to test the association between variables, and t-tests compared means of peer pressure values between boys and girls. Multiple logistic regression analysis was used to measure the adjusted effect of the independent variables (interaction, likability, and message) on outcomes variable, using adjusted odds ratio and 95% confidence interval with an alpha level of 0.05.

8. Results

Students’ age ranged from 14 to 16 years (mean age (SD) = 15.06 (0.8) years). One hundred thirty-seven students were recruited from private schools (18.4%), and 601 participants were from public schools (81.6%) (Table 1).

VariablesTotal, (%)Boys, (%)
330 (44.7)
Girls, (%)
408 (55.3)

Age in year (mean (SD) = 15.06 (0.8))
14218 (29.5)76 (23.0)142 (34.8)
15263 (35.6)138 (41.8)125 (30.6)
16257 (34.8)116 (35.2)141 (34.6)

Public601 (81.4)270 (81.8)331 (81.1)
Private137 (18.6)60 (18.2)77 (18.9)

The mean difference in peer pressure (PP), measured using the I-PIEC, between boys and girls was found to be statistically significant () (Table 2). Boys had a mean score of 1.7 (SD = 0.7) whereas girls had a mean score of 1.8 (SD = 0.7).

Gendert-value value
(mean (SD))
(mean (SD))

Peer pressure1.7 (0.7)1.8 (0.7)−2.520.012
Message1.5 (0.7)1.5 (0.8)−0.480.626
Interaction1.8 (0.9)2.5 (1.1)−8.34<0.001
Likability1.8 (1.0)1.5 (0.9)3.46<0.001

There were no statistically significant differences according to gender in the PP message subscale (). The mean score of PP message subscale was not different among boys (M = 1.5, SD = 0.7) and girls (M = 1.5, SD = 0.8). The PP interaction subscale mean was statistically higher for girls (M = 2.5, SD = 1.1) versus boys (M = 1.8, SD = 0.9) (). The PP likeability mean scores were statistically higher for boys (M = 1.8, SD = 1.0) than the PP likeability subscale mean for girls (M = 1.5, SD = 0.9) () (Table 3).

Gender value
Mean (SD)Mean (SD)

Perception peer pressure1.7 (0.7)1.8 (0.7)0.012
Message1.5 (0.7)1.5 (0.8)0.626
Interaction1.8 (0.9)2.5 (1.1)0.0001
Likability1.8 (1.0)1.5 (0.9)0.001

Among all participants, the prevalence of DEB was 23.6 % (Table 4). The percentage of DEB among girls (29.4%) was statistically higher than that among boys (16.4%) ().

Eating behavior status value
EAT: 26 < 20, (%)EAT: 26 ≥ 20, (%)

Boys276 (83.6)54 (16.4)0.0001
Girls288 (70.6)120 (29.4)

Independent sample t-tests were used to determine if there was a difference in the means of PP between adolescents by eating behaviors (Table 5). The difference in the overall I-PIEC mean between adolescents with DEB (M = 2.2, SD = 0.9) and normal eating behavior states (M = 1.6, SD = 0.6) was statistically significant (). Within the I-PIEC subscales, message, interaction, and likeability were statistically significant. The mean score of the PP message subscale was significantly higher among adolescents with DEB (M = 1.9, SD = 0.9) than adolescents with normal eating behaviors (M = 1.4, SD = 0.6), (). Also, PP interaction mean score for adolescents with DEB (M = 2.7, SD = 1.2) was significantly higher than the mean score of PP interaction mean for adolescents with normal eating behaviors (M = 2.0, SD = 0.9), (). Furthermore, the mean score for PP likeability was significantly higher in students with DEB (M = 2.1, SD = 1.2) than that in students with normal eating behavior (M = 1.5, SD = 0.8), ().

Eating behavior
(mean (SD))
t-value value

Peer pressure1.6 (0.6)2.2 (0.9)−9.560.0001
Message1.4 (0.6)1.9 (0.9)−7.860.0001
Interaction2.0 (0.9)2.7 (1.2)−7.300.0001
Likeability1.5 (0.8)2.1 (1.2)−7.370.0001

In order to examine the factors predicting DEB, binary logistic regression analysis was conducted on the total sample () (Table 6). In the logistic regression model, DEB served as the dependent variables. The independent variables entered into the model as potential predictors were the three I-PIEC subscales (interaction, likeability, and message). For each unit increase in interaction scale, the risk of developing DEB also increases by 1.31 (95% CI = 1.09–1.57). For the likeability subscale, for each one-unit increase in likeability scale, the risk for developing DEB increases by 1.30 (95% CI = 1.07–1.58). However, the message PP subscale did not predict DEB (OR = 1.04, 95% CI = 0.71–1.52).

Independent variableOdds ratio95% C.I. value



9. Discussion

The findings of this study reported a significant relationship between peer influence and DEB, which is consistent with previous studies [26, 32, 39, 40]. Specifically, there is a significant effect of message dimension of peer pressure on DEB; adolescents who are teased about their body weight and received negative comments on appearance have low DEB. It is interesting to note that the current study found no significant gender-related differences between response and teasing, and this is in line with a previous study [32].

The findings also indicate that interaction and likability dimensions of peer pressure are significantly associated with DEB as found also in previous studies [29, 32]. The current study also found that, while girls respond more to body comparison of their body weight and body image (interaction), boys are concerned that if they are thinner their peers will like them better (likeability). This is inconsistent with Meyer and Gast [32] finding, which found that boys respond significantly more to interaction than girls do. More research is needed to identify the differences in motivation by peers according to gender.

The current findings also showed that the interaction construct of peer pressure was the most statistically significant predictor of DEB followed by likeability construct of peer pressure; however, message did not predict DEB.

Overall, peer pressure is well documented in the literature as a significant predictor for unhealthy behaviors such as cigarette smoking and alcohol use [27, 41, 42]. The process of peer pressure on unhealthy behaviors is explained by Bandura’s (1986) social cognitive theory (SCT) [32, 35]. Our study confirms the importance of SCT in exploring the influence of peer pressure on DEB. Based on SCT, peer modeling (interaction and likability) is the strongest predictor of peer pressure for DEB while peer reinforcement (message) is not.

According to the theoretical framework that we adopted in our study, a possible explanation for the strong association between peer modeling and DEB is that adolescents who reported engaging in body comparison and conversation about their appearance and body weight with their peers as well as ideas and thoughts entrenched in the mind of adolescents that they would be more accepted and popular if they were thinner and were more likely to trigger internalization of the thin ideal of beauty in the community. In turn, this indirectly could have influenced body dissatisfaction and force adolescents to mimic unhealthy eating behaviors performed by their peer [33, 43].

On the other hand, message dimension of peer pressure was not considered a predictor of DEB because it directly affects body dissatisfaction [33, 37, 44].

The findings of the current study have this implication for the primary prevention of DEB. School nurses are in the best position to conduct school-based primary prevention for DEB, particularly those who use the peer-led approach. Such nurses need to be aware that DEB is common within both genders. It is important for school nurses to educate students, their parents, and teachers about the importance of healthy eating behaviors and the considerable influence of peer context on eating behaviors. In particular, school nurses can train a group of senior students to train their peers about unhealthy eating behaviors. Moreover, school nurses are in the best position to make referrals in such cases.

A direct prevention program is suggested to focus on negative peer pressure and the outcomes of such perceived pressure. Peer-led peer prevention programs could be promising for adolescents to show how to utilize peer pressure in a positive way and help in increasing their knowledge as well as effectively changing attitude and behaviors. Gender differences need to be taken into consideration when designing prevention programs, given the differences between boys and girls in this regard.

As indirect or modeling (interaction and likeability) constructs of peer pressure seem to be the most important predictor factor for DEB, it is important to address these constructs in a school-based program. Body comparison and standards of beauty should be discussed in detail with adolescents.

Although a large and representative sample was included in this study, a cross-sectional design did not allow us to assess peer pressure in the true sense of the word. So, in future research, it is suggested to use longitudinal methodologies. For example, adolescents could be followed in three points at the beginning, middle, and the end of school years or adolescents could be followed from early to late adolescence, and more social effects such as parents and media pressure could be considered and measured.

10. Strengths and Limitations

Strengths and limitations should be addressed when interpreting the findings of this study. The strengths of this study include the random selection and large number of the samples which made the sample more representative. Including both boys and girls makes this study different than previous studies that focused on girls only. In addition, the survey was conducted using online survey, which eliminated the possibility of having missing data, as in the online survey, students were not able to answer the next question unless they provided a response to the current question. In addition, the error result from data entry avoided as the selected answers directly connected to the excel sheet.

Limitations of this study include the self-reporting bias. Although self-report questionnaire is the most common method of data collection, it could be affected by the subjectivity of participants. Also, the data in the current study are derived from a cross-sectional design, which cannot draw causality. The I-PIEC scale was constructed for Western culture, where the majority of schools there are coeducational, having both boys and girls in the same class. However, Arab schools are mostly unisex, thus the division of schools based on gender is another limitation for studying how adolescents feel with their other sex peers. Finally, the design of this research was descriptive cross-sectional in which the association between variables is unclear, and thus causality cannot be established.

11. Conclusions

In summary, the current study is the first study highlighting the important effect of peer pressure context on unhealthy eating behaviors and risk of eating disorders in Jordan. Most of the research studied message form of peer pressure; however, the present study indicates the most significant predictor is interaction and likeability for DEB. Findings have implications for the primary prevention of eating behavior disorders. Finally, future research should assess the impact of students’ disordered eating behaviors on peers’ health and academic performance [45].

Data Availability

The data is secured with the first author and is available for anyone to have a look at.

Conflicts of Interest

All the authors declare that they have no conflicts of interest.


Dr. Nihaya Al-sheyab designed the study and wrote the protocol. Tamer Gharaibeh conducted literature searches and provided summaries of previous research studies. Dr. Khalid Kheirallah conducted the statistical analysis. All the authors wrote the first draft of the manuscript, and all the authors contributed to and have approved the final manuscript.


  1. A. Fitzgerald, C. Heary, C. Kelly, E. Nixon, and M. Shevlin, “Self-efficacy for healthy eating and peer support for unhealthy eating are associated with adolescents’ food intake patterns,” Appetite, vol. 63, pp. 48–58, 2013. View at: Publisher Site | Google Scholar
  2. D. Neumark-Sztainer, M. Wall, N. I. Larson, M. E. Eisenberg, and K. Loth, “Dieting and disordered eating behaviors from adolescence to young adulthood: findings from a 10-year longitudinal study,” Journal of the American Dietetic Association, vol. 111, no. 7, pp. 1004–1011, 2011. View at: Publisher Site | Google Scholar
  3. Y.-J. Chang, W. Lin, and Y. Wong, “Survey on eating disorder–related thoughts, behaviors, and their relationship with food intake and nutritional status in female high school students in Taiwan,” Journal of the American College of Nutrition, vol. 30, no. 1, pp. 39–48, 2011. View at: Publisher Site | Google Scholar
  4. M. K. Torstveit, K. Aagedal-Mortensen, and T. H. Stea, “More than half of high school students report disordered eating: a cross sectional study among Norwegian boys and girls,” PLoS One, vol. 10, no. 3, Article ID e0122681, 2015. View at: Publisher Site | Google Scholar
  5. M. Baş and G. Kiziltan, “Relations among weight control behaviors and eating attitudes, social physique anxiety, and fruit and vegetable consumption in Turkish adolescents,” Adolescence, vol. 42, no. 165, pp. 167–178, 2007. View at: Google Scholar
  6. V. Eapen, A. Mabrouk, and S. Bin-Othman, “Disordered eating attitudes and symptomatology among adolescent girls in the United Arab Emirates,” Eating Behaviors, vol. 7, no. 1, pp. 53–60, 2006. View at: Publisher Site | Google Scholar
  7. J. Haines, N. J. Ziyadeh, D. L. Franko, J. McDonald, J. M. Mond, and S. B. Austin, “Screening high school students for eating disorders: validity of brief behavioral and attitudinal measures,” Journal of School Health, vol. 81, no. 9, pp. 530–535, 2011. View at: Publisher Site | Google Scholar
  8. A. O. Musaiger, M. Al-Mannai, R. Tayyem et al., “Risk of disordered eating attitudes among adolescents in seven Arab countries by gender and obesity: a cross-cultural study,” Appetite, vol. 60, pp. 162–167, 2013. View at: Publisher Site | Google Scholar
  9. J. A. Barriguete-Meléndez, C. Unikel-Santoncini, C. Aguilar-Salinas et al., “Prevalence of abnormal eating behaviors in adolescents in Mexico: Mexican national health and nutrition survey 2006,” Salud Pública de México, vol. 51, pp. S638–S644, 2009. View at: Publisher Site | Google Scholar
  10. H. Bould, B. De Stavola, G. Lewis, and N. Micali, “Do disordered eating behaviours in girls vary by school characteristics? a UK cohort study,” European child and adolescent psychiatry, pp. 1–9, 2018. View at: Publisher Site | Google Scholar
  11. J. H. Baker, L. M. Thornton, P. Lichtenstein, and C. M. Bulik, “Pubertal development predicts eating behaviors in adolescence,” International Journal of Eating Disorders, vol. 45, no. 7, pp. 819–826, 2012. View at: Publisher Site | Google Scholar
  12. L. Tremblay and M. Lariviere, “The influence of puberty onset, body mass index, and pressure to be thin on disordered eating behaviors in children and adolescents,” Eating Behaviors, vol. 10, no. 2, pp. 75–83, 2009. View at: Publisher Site | Google Scholar
  13. M. P. McCabe and L. A. Ricciardelli, “A prospective study of pressures from parents, peers, and the media on extreme weight change behaviors among adolescent boys and girls,” Behaviour Research and Therapy, vol. 43, no. 5, pp. 653–668, 2005. View at: Publisher Site | Google Scholar
  14. M. E. Shea and M. E. Pritchard, “Is self-esteem the primary predictor of disordered eating?” Personality and Individual Differences, vol. 42, no. 8, pp. 1527–1537, 2007. View at: Publisher Site | Google Scholar
  15. E. J. Wouters, J. K. Larsen, S. P. Kremers, P. C. Dagnelie, and R. Geenen, “Peer influence on snacking behavior in adolescence,” Appetite, vol. 55, no. 1, p. 11, 2010. View at: Publisher Site | Google Scholar
  16. G. Holland and M. Tiggemann, “A systematic review of the impact of the use of social networking sites on body image and disordered eating outcomes,” Body Image, vol. 17, pp. 100–110, 2016. View at: Publisher Site | Google Scholar
  17. M. A. Wakefield, B. Loken, and R. C. Hornik, “Use of mass media campaigns to change health behaviour,” Lancet, vol. 376, no. 9748, pp. 1261–1271, 2010. View at: Publisher Site | Google Scholar
  18. M. Scully, M. Wakefield, P. Niven et al., “Association between food marketing exposure and adolescents’ food choices and eating behaviors,” Appetite, vol. 58, no. 1, pp. 1–5, 2012. View at: Publisher Site | Google Scholar
  19. Y. Quiles Marcos, M. Quiles Sebastián, L. Pamies Aubalat, J. Botella Ausina, and J. Treasure, “Peer and family influence in eating disorders: a meta-analysis,” European Psychiatry, vol. 28, no. 4, pp. 199–206, 2012. View at: Publisher Site | Google Scholar
  20. S. K. Park, J. Y. Kim, and C. B. Cho, “Prevalence of Internet addiction and correlations with family factors among South Korean adolescents,” Adolescence, vol. 43, no. 172, 2008. View at: Google Scholar
  21. American Psychiatric Association, Diagnostic and Statistical Manual of Mental Disorders DSM-IV-TR, American Psychiatric Association, Washington, DC, USA, 4th edition, 2000.
  22. J. Chein, D. Albert, L. O’Brien, K. Uckert, and L. Steinberg, “Peers increase adolescent risk taking by enhancing activity in the brain’s reward circuitry,” Developmental Science, vol. 14, no. 2, pp. F1–F10, 2011. View at: Publisher Site | Google Scholar
  23. A. Aghaei, F. Afsar, and A. Nouri, “A comparison of the psychological characteristics of adolescence and drawing its profile according to parents and adolescents in Isfahan City (Iran),” Procedia-Social and Behavioral Sciences, vol. 46, pp. 2193–2197, 2012. View at: Publisher Site | Google Scholar
  24. L. M. Padilla-Walker and R. A. Bean, “Negative and positive peer influence: relations to positive and negative behaviors for African American, European American, and Hispanic adolescents,” Journal of Adolescence, vol. 32, no. 2, pp. 323–337, 2009. View at: Publisher Site | Google Scholar
  25. D. Linville, E. Stice, J. Gau, and M. O'Neil, “Predictive effects of mother and peer influences on increases in adolescent eating disorder risk factors and symptoms: a 3-year longitudinal study,” International Journal of Eating Disorders, vol. 44, no. 8, pp. 745–751, 2011. View at: Publisher Site | Google Scholar
  26. H. Webb, M. Zimmer-Gembeck, A. Waters, L. Farrell, D. Nesdale, and G. Downey, ““Pretty pressure” from peers, parents, and the media: a longitudinal study of appearance-based rejection sensitivity,” Journal of Research on Adolescence, vol. 27, no. 4, pp. 718–735, 2017. View at: Publisher Site | Google Scholar
  27. J. Rawana, A. Morgan, H. Nguyen, and S. Craig, “The relation between eating-and weight-related disturbances and depression in adolescence: a review,” Clinical Child and Family Psychology Review, vol. 13, no. 3, pp. 213–230, 2010. View at: Publisher Site | Google Scholar
  28. D. M. Hutchinson and R. M. Rapee, “Do friends share similar body image and eating problems? the role of social networks and peer influences in early adolescence,” Behaviour Research and Therapy, vol. 45, no. 7, pp. 1557–1577, 2007. View at: Publisher Site | Google Scholar
  29. K. K. Oliver and M. H. Thelen, “Children’s perceptions of peer influence on eating concerns,” Behavior Therapy, vol. 27, no. 1, pp. 25–39, 1996. View at: Publisher Site | Google Scholar
  30. M. C. Aalsma and J. R. Brown, “What is bullying?” Journal of Adolescent Health, vol. 43, no. 2, pp. 101-102, 2008. View at: Publisher Site | Google Scholar
  31. D. M. Hutchinson, R. M. Rapee, and A. Taylor, “Body dissatisfaction and eating disturbances in early adolescence: a structural modeling investigation examining negative affect and peer factors,” Journal of Early Adolescence, vol. 30, no. 4, pp. 489–517, 2010. View at: Publisher Site | Google Scholar
  32. T. A. Meyer and J. Gast, “The effects of peer influence on disordered eating behavior,” Journal of School Nursing, vol. 24, no. 1, pp. 36–42, 2008. View at: Publisher Site | Google Scholar
  33. C. Matera, A. Nerini, and C. Stefanile, “The role of peer influence on girls’ body dissatisfaction and dieting,” Revue Européenne De Psychologie Appliquée/european Review of Applied Psychology, vol. 63, no. 2, pp. 67–74, 2013. View at: Publisher Site | Google Scholar
  34. J. K. Thompson, P. van den Berg, M. Roehrig, A. S. Guarda, and L. J. Heinberg, “The sociocultural attitudes towards appearance scale-3 (SATAQ-3): development and validation,” International Journal of Eating Disorders, vol. 35, no. 3, pp. 293–304, 2004. View at: Publisher Site | Google Scholar
  35. A Bandura, Social Foundations of Thought and Action: A Social Cognitive Theory, Prentice-Hall, Inc, Englewood Cliffs, NJ, USA, 1986.
  36. J. Ogden, Health Psychology, McGraw-Hill Education, London, UK, 2012.
  37. T. Y. Mousa, H. A. Al-Domi, R. H. Mashal, and M. A.-K. Jibril, “Eating disturbances among adolescent schoolgirls in Jordan,” Appetite, vol. 54, no. 1, pp. 196–201, 2010. View at: Publisher Site | Google Scholar
  38. D. M. Garner, M. P. Olmsted, Y. Bohr, and P. E. Garfinkel, “The eating attitudes test: psychometric features and clinical correlates,” Psychological Medicine, vol. 12, no. 04, pp. 871–878, 1982. View at: Publisher Site | Google Scholar
  39. M. Eisenberg and D. Neumark-Sztainer, “Friends’ dieting and disordered eating behaviors among adolescents five years later: findings from project EAT,” Journal of Adolescent Health, vol. 47, no. 1, p. 67, 2010. View at: Publisher Site | Google Scholar
  40. K. Rayner, C. Schniering, R. Rapee, A. Taylor, and D. Hutchinson, “Adolescent girls' friendship networks, body dissatisfaction, and disordered eating: examining selection and socialization processes,” Journal of Abnormal Psychology, vol. 122, no. 1, pp. 93–104, 2013. View at: Publisher Site | Google Scholar
  41. B. R. Hoffman, P. R. Monge, C.-P. Chou, and T. W. Valente, “Perceived peer influence and peer selection on adolescent smoking,” Addictive Behaviors, vol. 32, no. 8, pp. 1546–1554, 2007. View at: Publisher Site | Google Scholar
  42. A. B. Knecht, W. J. Burk, J. Weesie, and C. Steglich, “Friendship and alcohol use in early adolescence: a multilevel social network approach,” Journal of Research on Adolescence, vol. 21, no. 2, pp. 475–487, 2011. View at: Publisher Site | Google Scholar
  43. M. Lieberman, L. Gauvin, W. M. Bukowski, and D. R. White, “Interpersonal influence and disordered eating behaviors in adolescent girls: the role of peer modeling, social reinforcement, and body-related teasing,” Eating Behaviors, vol. 2, no. 3, pp. 215–236, 2001. View at: Publisher Site | Google Scholar
  44. C. L. Donovan, S. H. Spence, and J. K. Sheffield, “Investigation of a model of weight restricting behaviour amongst adolescent girls,” European Eating Disorders Review, vol. 14, no. 6, pp. 468–484, 2006. View at: Publisher Site | Google Scholar
  45. E. C. Paul, R. Pazienza, K. J. Maestro, A. Flye, P. Mueller, and J. L. Martin, “The impact of disordered eating behavior on college relationships: a qualitative study,” Journal of College Counseling, vol. 21, no. 2, pp. 139–152, 2018. View at: Publisher Site | Google Scholar

Copyright © 2018 Nihaya A. Al-sheyab et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

More related articles

 PDF Download Citation Citation
 Download other formatsMore
 Order printed copiesOrder

Related articles

Article of the Year Award: Outstanding research contributions of 2020, as selected by our Chief Editors. Read the winning articles.