Literature DB >> 35754754

Influence of sociocultural factors on the risk of eating disorders among King Abdulaziz University students in Jeddah, Saudi Arabia.

Lina O Aldakhil1, Bahaa A Abaalkhail1, Ibrahim I Abu1.   

Abstract

BACKGROUND: In Saudi Arabia, there is not much research on the risk of eating disorders and the influence of sociocultural factors on increasing the risk among university students. The objective of this study was to assess the prevalence of the risk of eating disorder (EDs) in King Abdulaziz University students, the influence of sociocultural factors, and any differences between males and females.
MATERIALS AND METHODS: A cross-sectional study was conducted on 763 university students in Jeddah, Saudi Arabia. The data were collected in 3 months from February 2021 to April 2021. A self-administered Eating Attitude Test-26 scale was used to assess the risk of eating disorder among the students. The sociocultural attitude toward appearance questionnaire was used to measure the internalization of thinness, masculinity, and family, peer, and media attitude toward appearance. To test for statistical significance, t-test was used for continuous variables, whereas Ch-square test was performed for categorical variables. Logistic regression analysis were performed to determine factors associated with ED risk; all tests were performed at 0.05 significance level.
RESULTS: The prevalence of the risk of eating disorder among the students was observed as 34%. The sociocultural attitude toward appearance was significantly higher among at risk of eating disorder students. The multiple logistic regression analysis showed that females are twice more likely to be at risk for eating disorder than males (2.25) with 95% confidence interval (1.50,3.39). Peer influence was significantly higher among males than females; however, females were significantly more influenced by the media than males.
CONCLUSION: The prevalence of eating disorder risk in Saudi university students in Jeddah was observed as alarming and highly influenced by sociocultural factors; therefore, screening university students for eating disorder is very necessary. In addition, there should be media and health promotion campaigns on eating disorder and body image issues. Copyright:
© 2022 Journal of Family and Community Medicine.

Entities:  

Keywords:  Body mass index; Saudi Arabia; eating disorder risk; sociocultural factors; university students

Year:  2022        PMID: 35754754      PMCID: PMC9221225          DOI: 10.4103/jfcm.jfcm_85_22

Source DB:  PubMed          Journal:  J Family Community Med        ISSN: 1319-1683


Introduction

The prevalence of eating disorders (ED) as documented has continuously risen in recent years.[1] According to the American Psychiatric Association, ED can be defined as an interrupted eating pattern, which can be associated with an obsession with body image and weight resulting in serious health issues.[2] ED is a general term for several diseases such as anorexia nervosa, bulimia nervosa, and binge eating.[3] Individuals with ED have significantly lower health-related quality of life than individuals without ED. In the United States, it is estimated that 3.3 million healthy life years are lost yearly as a result of ED.[45] In Saudi Arabia, a study done in 2018 reported that 35% of female university students in Taif were at risk of ED.[6] This is considered extremely high compared with such western countries as the United States, where ED risk was reported as 11.6% and 5.7% among female and male university students, respectively.[7] Moreover, sociocultural factors, a determinant of health can be described as the environment surrounding individuals, such as the family, relatives, and friends, that is likely to influence one's way of thinking, from a very early age.[89] These sociocultural factors vary according to the society in which one lives. Factors such as family, peers, and media attitudes toward appearance could influence the risk of developing ED. These factors are more prevalent in societies where culture plays an important role.[10] Compared with such western countries as the United States of America, Saudi Arabia is seen to have a high prevalence of ED risk among female university students. However, there is little research on the prevalence of ED risk in university students in Jeddah, especially among male students, and how the risk of ED is influenced by the sociocultural attitude toward appearance. Therefore, the objective of this study was to determine (i) the prevalence of the risk of ED risk in King Abdulaziz University students (Jeddah, Saudi Arabia), (ii) the influence of sociocultural factors on the ED risk, and (iii) the difference between the risk in males and females with regard to the influence of sociocultural factors.

Materials and Methods

A cross-sectional study was conducted on 763 university students in Jeddah, Saudi Arabia from February to April 2021. Ethical approval was obtained from the Institutional Review Board letter No. 86–21 dated 17/02/2021 and informed written consent was taken from all participants. Sample size was calculated using the following formula , with a confidence interval of 95% and precision of 4, the proportion of ED risk in university students was taken from a previous study conducted in Taif, Saudi Arabia (35.4%).[6] The final sample size was calculated as 549. As a control for low response and missing data, the sample size was increased by 30%, resulting in a total sample size of 713. Multistage sampling was used to recruit participants. First, the university colleges were grouped into two strata: females and males, with an equal allocation of colleges in each stratum. Thereafter, cluster sampling was used in which five colleges were chosen from each stratum randomly. Finally, an academic year was randomly selected from each college, and all students in the selected year were included in the study. For the male strata, the following disciplines were included randomly: medicine, dentistry, Islamic law and studies, information technology, and science track of the preparatory year. For the female strata, the following disciplines were randomly included: medicine, nursing, computer science, psychology, and preparatory year of the administrative track. Data collection was done using a self-administered questionnaire consisting of three sections as follows: first section had sociodemographic factors as age, marital status, gender, university year and college, height (m) and weight (kg), smoking, household income, mothers' and fathers' education level, any chronic condition, and type of diet followed. The Body Mass Index (BMI) was calculated through the self-reported height and weight, which was measured by weight (kg)/height (m2). The BMI classification was categorized as underweight (BMI <18.5), normal (18.5 ≤25), overweight (25 ≤30), and obese (BMI of 30 or more). The second section consisted of the Eating Attitudes Test (EAT)-26 self-assessment scale that assessed persons who are at risk for ED. This questionnaire was developed first by Garner and Garfinkel in 1979 and has since been used in multiple studies to determine the risk for ED, where it shows a high validity and reliability. The questionnaire measured two variables: ED risk and risky eating behavior. The questionnaire had a scoring system for the ED risk part which can be calculated as follows: for questions 1–25, “always” count as 3, “usually,” count as 2, and “often” count as 1. For “rarely,” “sometimes,” or “never,” it counts as 0. For question 26, “always,” “usually,” or “often,” count as 0, “sometimes,” count as 1, “rarely,” count as 2, and “never” count as 3. The participant is considered at risk of ED if their score is more than 20, the second part of the questionnaire is risky behavior in the past 6 months, behavior is considered binge risky behavior if the participants reports binge eating 2-3 times a week or more, inducing vomiting and laxative risky behavior if reported once a month or less, and for excessive exercise if it is reported as more than 60 minutes a day.[11] The third section included the sociocultural attitudes toward appearance questionnaire (SATAQ-4). The first form of the questionnaire was developed in 1995 by Heinberg and Thompson. In 2015, the last version of this questionnaire updated and validated by Schaefer, showed a high convergent validity and reliability, with a Cronbach's alpha of 0.8. The questionnaire had five subscales: (i) self-pressure to internalization of thinness, (ii) internalization to masculinity, (iii) family pressure, (iv) peer pressure, and (v) media pressure. Furthermore, with 22 items, each item had a 5-point Likert scale, from strongly disagree to strongly agree, the higher the score, the higher the sociocultural influence. The highest possible score was 110 for the overall scale, while for each subscale, the highest score for internalized thinness was 25, internalized masculinity 25, family pressure 20, peer pressure 20, and media pressure 20.[1213] The Arabic version of the EAT-26 and SATAQ-4 of this questionnaire was used here, as it had been used in a previous study and been translated from English to Arabic and vice versa by two certified translators.[14] The self-administered questionnaire was sent to the students in the study by phone on the number obtained from the students' leaders of each batch. Continuous data such as sociodemographic factors were presented as mean, standard deviation (±SD), while categorical variables were represented as frequency and percentages. Furthermore, the unadjusted analysis for categorical variables was performed using Pearson's Chi-squared two-way analysis. Student's t-test was used to assess the unadjusted significant difference between the SATAQ-4 subscale and ED risk. For the adjusted analysis, the multiple logistic regression model was built to predict the factors associated with ED risk as its dependent binary variable. To check the logistic regression assumption, data were checked for multicollinearity to make sure that the data were not correlated. All data were tested for normality before the conduct of the t-test and found to be normally distributed. The data were considered statistically significant at a P < 0.05 and a confidence interval of 95%. The statistical analysis was done using the STATA 13.0 software program.

Results

After excluding incomplete questionnaires, the total number of participants was 763, with a mean age of 21 (1.82). Table 1 represents the sociodemographic and the characteristics of the sample. As shown in Table 1, approximately 34% of the students scored more than 20 on the EAT-26 scale and were considered at risk for ED.
Table 1

Sociodemographic characteristics of participants and eating disorders risk (2021)

CharacteristicsFrequency N (%)Total
ED risk
 At risk260 (34.1)763
 Not at risk503 (65.9)
Gender
 Female443 (58.1)763
 Male320 (41.9)
Status
 Single737 (97.1)759
 Married22 (2.9)
Year in university
 First year181 (23.7)762
 Second year127 (16.7)
 Third year220 (28.9)
 Fourth year151 (19.8)
 <4 years83 (10.9)
Mother’s education
 Illiterate40 (5.2)759
 Primary71 (9.3)
 Middle101 (13.3)
 High school175 (23.1)
 University and postgraduate372 (49.0)
Father’s education
 Illiterate15 (1.9)760
 Primary43 (5.7)
 Middle95 (12. 5)
 High school206 (27.1)
 University and postgraduate401 (52.8)
Family income (SAR)
 <500088 (11.6)758
 5000-10,000194 (25.6)
 10,001-15,000176 (23.2)
 >15,000300 (39.6)
Smoke
 No620 (81.3)763
 Yes143 (18.7)
History
 Asthma32 (4.2)763
 Mental disease5 (0.7)
 Diabetes4 (0.5)
 Other30 (3.9)
 None692 (90.7)
Diet followed
 Vegetarian or vegan24 (3.1)771
 Intermittent fasting72 (9.3)
 Calorie’s deficit24 (3.1)
 Other (ex: Cutting sugar, one meal a day)47 (6.1)
 Not specific diet604 (78.3)
BMI
 Underweight130 (19.2)676
 Normal weight303 (44.8)
 Overweight148 (21.9)
 Obese95 (14.0)

BMI=Body mass index, ED=Eating disorders

Sociodemographic characteristics of participants and eating disorders risk (2021) BMI=Body mass index, ED=Eating disorders Figure 1 illustrates the ED risk of students' years attended in the university, students in their 2nd year of university showed the highest prevalence of ED risk, as around 39% of the students were at risk of ED. In addition, 34.2% of students in their 1st year of university were at risk of ED. Students who had spent more than 4 years in the university had the least prevalence of ED risk (30.1%).
Figure 1

Eating disorder risk in different college years (2021)

Eating disorder risk in different college years (2021) Table 2 shows the mean difference of ED risk in relation to SATAQ-4. As shown in the table, internalization to thinness, internalization to masculinity, family pressure, peer pressure, and media pressure were all significantly higher among at risk of ED students (P < 0.05). Moreover, internalization of thinness showed a higher magnitude difference between students at risk (M = 19.38, SD ± 4.04) and students who were not (M = 16.12 SD ± 3.82). Furthermore, internalization of masculinity showed a high difference between students at risk (M = 18.96 ± 4.05) and those who were not (M = 16.51, ±3.93). On the other hand, the influence of peer attitude toward appearance on ED risk had the least magnitude of difference.
Table 2

The association between sociocultural attitude toward appearance subscales with eating disorder risk (2021)

SATA subscalesED risk N Subscale score Mean±SD t P-value
Internalization of thinnessNot at risk50316.12±3.82−10.96< 0.001
At risk26019.38±4.04
Internalization of masculinityNot at risk50316.51±3.93−8.07< 0.001
At risk26018.96±4.05
Family attitude toward appearanceNot at risk50311.17±4.01−5.46< 0.001
At risk26012.87±4.16
Peer attitude toward appearanceNot at risk5039.48±4.12−4.87< 0.001
At risk26011.09±4.67
Media attitude toward appearanceNot at risk5039.90±5.06−6.8< 0.001
At risk26012.70±5.85
Total SATAQ-4Not risk50363.20±14.03−10.77< 0.001
At risk26075.02±14.96

Data are significant at P-level<0.05. Student’s independent t-test as a measure of association. ED=Eating disorders, SATA=Sociocultural attitude toward appearance, SATAQ-4=SATA questionnaire, SD=Standard deviation

The association between sociocultural attitude toward appearance subscales with eating disorder risk (2021) Data are significant at P-level<0.05. Student’s independent t-test as a measure of association. ED=Eating disorders, SATA=Sociocultural attitude toward appearance, SATAQ-4=SATA questionnaire, SD=Standard deviation Table 3 shows the significant difference between male and female students regarding risk for ED. Female students had a higher prevalence of ED risk than male students, with 38.8% of females compared to 27.5% of male students (P < 0.05, χ2 : 10.60). Even though male students had a higher prevalence of binge eating behavior than females (37% and 32%, respectively), no significant difference was observed (P = 0.159). There was a significant difference in induced vomiting behavior between male and female students (P < 0.05, χ2 : 12.80), with a higher prevalence of 11.3% in female students compared to 4% in male students. Furthermore, a significant difference (P < 0.05, χ2 : 4.71) was also observed in the use of laxatives between male and female students, with a higher prevalence in females than males.
Table 3

The difference between male and female students regarding eating disorders risk and risky behavior (2021)

Male (n=320) N (%)Female (n=443) N (%)a χ 2 P-value
ED risk
 At risk88 (27.5)172 (38.8)10.600.001
 Not at risk232 (72.5)271 (61.1)
Binge eating behavior
 Risky119 (37.2)143 (32.3)1.980.159
 Not risky201 (62.8)300 (67.7)
Induced vomiting behavior
 Risky13 (4.0)50 (11.3)12.80< 0.001
 Not risky307 (95.9)393 (88.7)
Laxative use
 Risky19 (5.9)46 (10.4)4.710.030
 Not risky301 (94.0)397 (89.6)
Risky exercise behavior
 Risky16 (5.0)26 (5.9)0.260.603
 Not risky304 (95.0)417 (94.1)

Data are significant at P-level<0.05. Pearson’s Chi-square as a measure of association. ED=Eating disorders

The difference between male and female students regarding eating disorders risk and risky behavior (2021) Data are significant at P-level<0.05. Pearson’s Chi-square as a measure of association. ED=Eating disorders Table 4 displays the difference between male and female students regarding the risk for ED at the subscales of SATAQ-4. The internalized thinness showed that female students at risk were significantly (P < 0.05) more internalized than male students at risk ([females: M = 19.80, SD ± 3.85]; [males: M = 18.56, SD ± 4.28; t-value = −2.34]).
Table 4

The difference between male and female students at risk of eating disorder on sociocultural attitude toward appearance subscales (2021)

SATAQ-4 subscalesGender at risk for ED n Mean±SD t P-value
Internalization of thinnessMale at risk8818.56±4.28−2.340.019
Female at risk17219.80±3.85
Internalization of masculinityMale at risk8819.48±4.061.500.133
Female at risk17218.69±4.02
Family attitude toward appearanceMale at risk8813.34±4.081.280.199
Female at risk17212.63±4.19
Peer attitude toward appearanceMale at risk8812.19±4.332.740.006
Female at risk17210.53±4.74
Media attitude toward appearanceMale at risk8811.27±5.73−2.950.003
Female at risk17213.45±5.78
Total SATAQ-4Male at risk8874.81±14.67−0.150.870
Female at risk17275.12±15.15

Data are significant at P-level<0.05. Student’s independent t-test as a measure of association. SD=Standard deviation, SATAQ-4=Sociocultural attitudes toward appearance questionnaire, ED=Eating disorders

The difference between male and female students at risk of eating disorder on sociocultural attitude toward appearance subscales (2021) Data are significant at P-level<0.05. Student’s independent t-test as a measure of association. SD=Standard deviation, SATAQ-4=Sociocultural attitudes toward appearance questionnaire, ED=Eating disorders On the other hand, internalization of masculinity among males showed a higher mean than female students (M = 19.48 SD ± 4.06 and M = 18.69 SD ± 4.02, respectively), with a t-value of 1.50; yet no significant difference was observed. Furthermore, even though male students had a higher mean of family influence on the risk of ED with a t-value of 1.28, no significant difference was observed. Peer attitude appeared to be significantly different between male and female students at risk (P < 0.05), as males showed a higher mean value (M = 12.19, SD ± 4.33) than females (M = 10.53, SD ± 4.74) with a t-value of 2.74. In contrast, the influence of media attitude was higher in females than males with a t-value of −2.95, and significant difference (P < 0.05), the overall score of SATAQ-4 showed no significant difference. To identify independent factors that predict ED risk, multiple logistic regressions were conducted. BMI, excessive exercise, and gender variables were presented as categorical variables, while SATAQ-4 total was presented as a continuous variable. As shown in Table 5, female students were significantly twice more likely to have ED risk than male students (odds ratio [OR] = 2.25, 95% confidence interval [CI] = 1.50,3.39) after the adjustment for other variables. “Excessive exercise for more than 60 min” showed a significant trend in its categories (P < 0.05) compared to the reference group that never exercised (P < 0.05). For the BMI, students who were obese were significantly more likely to have ED risk (OR = 2.25, 95% CI = 1.28, 3.95) than the reference group (normal weight students).
Table 5

Multiple logistic regression analysis for association between eating disorder risk and various risk factors (2021)

Risk factorCoefficientOdds ratio (OR)SE95% CI for ORP-value
Exercise >60 min§
 Never-1.00---
 From once a week to 2-3 times a month0.732.090.461.34-3.240.001
 2-6 times a week1.283.620.922.20-5.96< 0.001
 Once a day or more1.957.032.863.17-15.62< 0.001
Gender
 Male-1.00---
 Female0.812.250.461.50-3.39< 0.001
BMI
 Normal weight-1.00---
 Underweight0.231.260.340.73-2.160.400
 Overweight0.381.460.350.91-2.350.115
 Obese0.812.250.641.28-3.950.004
 SATAQ-4 total**0.0481.050.0071.03-1.06< 0.001

*Adjusted odds ratio, **Continuous variable, †SE of coefficient, ‡95% CI of the OR, §Trend test shows a significant P of<0.001. Logistic regression analysis. Hosmer–Lemeshow goodness of fit=0.5481, ROC=0.7751, R2=0.1911. SATAQ-4=Sociocultural attitudes toward appearance questionnaire, OR=Odds ratio, CI=Confidence interval, OR=Odds ratio, SE=Standard error, BMI=Body mass index, ED=Eating disorders, ROC=Receiver operating characteristic curve

Multiple logistic regression analysis for association between eating disorder risk and various risk factors (2021) *Adjusted odds ratio, **Continuous variable, †SE of coefficient, ‡95% CI of the OR, §Trend test shows a significant P of<0.001. Logistic regression analysis. Hosmer–Lemeshow goodness of fit=0.5481, ROC=0.7751, R2=0.1911. SATAQ-4=Sociocultural attitudes toward appearance questionnaire, OR=Odds ratio, CI=Confidence interval, OR=Odds ratio, SE=Standard error, BMI=Body mass index, ED=Eating disorders, ROC=Receiver operating characteristic curve Moreover, when the SATAQ-4 total score increased by one score, the odd of students to be at risk of ED will increase by 5% (OR = 1.05, 95% CI = 1.03, 1.06).

Discussion

This study aimed at assessing the prevalence of ED risk of King Abdulaziz University students, in addition to the relationship between ED risk and sociocultural attitude toward appearance, as well as the difference between male and female students at risk. This study indicates that around 34% of the students scored more than 20 on the EAT-26 scale and were at risk of ED. Similarly, a study conducted in Taif, Saudi Arabia, using the EAT-26 scale found that around 35.4% of female university students were at risk of ED.[6] This might be because Taif and Jeddah are in the same region of Saudi Arabia, unlike another study in Dammam, which showed a slightly lower ED risk prevalence of 30% in female university students.[14] This might indicate that university students in the western region of Saudi Arabia may have a higher prevalence of ED risk than those in the eastern region. This can be explained by the fact that the cultures of the two regions differ and therefore contribute uniquely to the increased prevalence of ED risk. Furthermore, when compared with other countries using the same EAT-26 scale, a study conducted in the United States (2018) showed that 10.5% of university students were at risk of ED.[15] Another study in China conducted in 2015 showed that 4.5% of the students were at risk,[16] which is surprising, since for years western countries have had a much higher prevalence than nonwestern countries. However, in the last few years, Saudi Arabia has faced rapid economic and cultural changes which might have had an impact on the emerging issue of EDs risk in the Saudi society. For the relationship between SATAQ-4 and ED risk, internalized thinness and masculinity, family pressure, peer pressure, and media pressure scores were all highly significantly higher among at risk students. When compared with other studies conducted in the United States (2018) between at-risk students and students not at risk, Internalization for ideal body, family and peer pressures were considered risk factors among male students. In addition, they reported a significant difference between at risk female and male in the pressure scale, with at risk female having a higher score in family and peer pressure compared to at risk male.[15] This result shows that Saudi university students are under a great deal of pressure to look a particular way by family, peers, and media, thus resulting in the high prevalence of ED risk. Moreover, females were significantly more influenced by the media than male students. This shows that the media such as magazines and TV are either mainly focused on the female image or that male students do not feel influenced by the media. In contrast, males at risk were highly more pressured by their peers than females. In this study, it was found that excessive exercise was associated with increased risk of ED, as the logistic regression showed a significant trend in the exercise categories. Moreover, it had been previously reported that excessive exercise was associated with an increased risk of ED, as shown in a study conducted in 2018 of 335 females, in which 226 females were diagnosed with anorexia or bulimic nervosa as against 109 healthy females. It found that even though both groups reported that they exercised, a significant difference was observed in all the groups regarding self-reported exercising, as anorexia and bulimic patients reported a higher number of hours per week of exercising with mean hours ranging from 5.95 for anorexic patients and 6.24 for bulimic patients, while healthy females had mean hours of 3.60 of exercise per week.[17] This study has several strengths. To the best of our knowledge, it is the first such study conducted in Jeddah of university students to assess the risk of ED and the risk of male students. Furthermore, the sample size was considerably good, as more than 700 university students were included in this study. This study also has several limitations. First, the questionnaires were sent to the students by means of messages, making it more likely to be filled out several times. However, to counteract this, any repeated answers were removed to eliminate errors in the result. Owing to the considerable number of students in the preparatory year, it was challenging to choose the classes randomly, so the choice of the preparatory year classes using convenience sampling. Finally, the results cannot be generalized as this study was conducted in only one university in Jeddah.

Conclusion

The prevalence of ED risk among King Abdulaziz University students is 34%, with a higher prevalence in females than males. Besides, sociocultural attitudes toward appearance were highly significant with the risk of ED. Therefore, young adults should be taught from an early age the habits of eating healthy rather than focusing on being skinny. In addition, the society should be educated on EDs, especially in university students. The Saudi Ministry of Health has a great presence on social media, so developing a campaign to reach a wide range of people in the media is needed. Risky behaviors such as the use of laxatives and induced vomiting were found to be high among the students. This warrants a need for mandatory supervision of students who engage in such a behavior and screening for risky behavior and EDs in vulnerable students. A university clinic to support students in need of help should also be provided. Furthermore, ED which for years had been considered a nonexistent health issue is still a relatively new topic in the Saudi population. The Saudi society and healthcare officials need to focus more on ED. More research on ED risk in other parts of Saudi Arabia, as well as among obese people and those who exercise excessively is recommended since this study shows that excessive exercise increases the risk. Studies in settings such as gyms are also much needed.

Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.
  11 in total

Review 1.  Quality of life in eating disorders: a meta-analysis.

Authors:  Laura Al-Dakhiel Winkler; Erik Christiansen; Mia Beck Lichtenstein; Nina Beck Hansen; Niels Bilenberg; René Klinkby Støving
Journal:  Psychiatry Res       Date:  2014-05-14       Impact factor: 3.222

2.  The eating attitudes test: psychometric features and clinical correlates.

Authors:  D M Garner; M P Olmsted; Y Bohr; P E Garfinkel
Journal:  Psychol Med       Date:  1982-11       Impact factor: 7.723

3.  Eating Disorders Among Female Students of Taif University, Saudi Arabia.

Authors:  Azza Ali Abd El-Azeem Taha; Hany Ahmed Abu-Zaid; Dalia El-Sayed Desouky
Journal:  Arch Iran Med       Date:  2018-03-01       Impact factor: 1.354

4.  Development and validation of the sociocultural attitudes towards appearance questionnaire-4-revised (SATAQ-4R).

Authors:  Lauren M Schaefer; Jennifer A Harriger; Leslie J Heinberg; Taylor Soderberg; J Kevin Thompson
Journal:  Int J Eat Disord       Date:  2016-08-19       Impact factor: 4.861

5.  Prevalence of eating disorders over the 2000-2018 period: a systematic literature review.

Authors:  Marie Galmiche; Pierre Déchelotte; Grégory Lambert; Marie Pierre Tavolacci
Journal:  Am J Clin Nutr       Date:  2019-05-01       Impact factor: 7.045

6.  Development and validation of the Sociocultural Attitudes Towards Appearance Questionnaire.

Authors:  L J Heinberg; J K Thompson; S Stormer
Journal:  Int J Eat Disord       Date:  1995-01       Impact factor: 4.861

7.  PREVALENCE OF DISORDERED EATING ATTITUDES AMONG UNIVERSITY STUDENTS IN WUHU, CHINA.

Authors:  Jiegen Yu; Mi Lu; Li Tian; Wei Lu; Fanxiang Meng; Changang Chen; Tianmiao Tang; Lianping He; Yingshui Yao
Journal:  Nutr Hosp       Date:  2015-10-01       Impact factor: 1.057

8.  Sex differences in disordered eating and food addiction among college students.

Authors:  Zhiping Yu; Natalie Arce Indelicato; Paul Fuglestad; Michael Tan; Lindsay Bane; Caitlin Stice
Journal:  Appetite       Date:  2018-06-20       Impact factor: 3.868

9.  Eating disorders and associated risk factors among Imam Abdulrahman bin Faisal university preparatory year female students in Kingdom of Saudi Arabia.

Authors:  Aisha M Alwosaifer; Salwa A Alawadh; Moataza M Abdel Wahab; Leila A Boubshait; Bader A Almutairi
Journal:  Saudi Med J       Date:  2018-09       Impact factor: 1.484

Review 10.  Review of the burden of eating disorders: mortality, disability, costs, quality of life, and family burden.

Authors:  Daphne van Hoeken; Hans W Hoek
Journal:  Curr Opin Psychiatry       Date:  2020-11       Impact factor: 4.741

View more
  1 in total

1.  The relationship between the high-risk disordered eating and social network navigation among Saudi college females during the COVID pandemic.

Authors:  Alotaibi Abdulaziz Raja N; Nermin A Osman; Abdullah Muidh Alqethami; Nesrin Kamal Abd El-Fatah
Journal:  Front Public Health       Date:  2022-09-06
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.