The relationship between risk of eating disorders, age, gender and body mass index in medical students: a meta-regression
| Autor: | Zahraa Saif, Mo'ez Al-Islam E. Faris, Haitham Jahrami, Michael P. Levine |
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| Rok vydání: | 2018 |
| Předmět: |
Male
050103 clinical psychology Students Medical 030309 nutrition & dietetics Risk Assessment Body Mass Index Feeding and Eating Disorders 03 medical and health sciences Outcome variable Sex Factors Risk Factors Covariate medicine Humans 0501 psychology and cognitive sciences Meta-regression 0303 health sciences business.industry 05 social sciences Age Factors Eating attitudes Mean age medicine.disease Psychiatry and Mental health Clinical Psychology Eating disorders Female business Body mass index Demography Systematic search |
| Zdroj: | Eating and weight disorders : EWD. 24(2) |
| ISSN: | 1590-1262 |
| Popis: | Age, gender and body mass index (BMI) are commonly described risk factors for the development of eating disorders. However, the magnitude of these factors (individually and together) is still not well-defined in some populations. A systematic search was performed for studies that reported the prevalence of eating disorder risk among medical students using the Eating Attitudes Test-26 (EAT-26) and age, gender and BMI as risk factors. We included studies published in English peer-reviewed journals between 1982 and 2017. A total of 14 studies were included in the analyses, and the meta-regression analyses were performed using mean age (years), gender (proportion of female subjects), and mean BMI (kg/m2) as moderators with the risk of eating disorders measured using EAT-26 as an outcome variable. Four interaction terms were created (1) age × gender (2) age × BMI (3) gender × BMI and (4) age × gender × BMI to assess if two or more independent variables simultaneously influence the outcome variable. Utilizing the EAT-26, the pooled prevalence of at risk for eating disorders among medical students (k = 14, N = 3520) was 10.5% (95% CI 7.3–13.7%). Meta-regression model of age, gender and BMI alone revealed poor predictive capabilities. Meta-regression model of age × gender × BMI interaction revealed statistically significant results with a covariate coefficient of 0.001 and p value of 0.044. Results from this sample of medical students provided evidence for the role of interactions between risk factors (e.g., age × gender × BMI) in predicting individuals at risk for eating disorders, whereas these variables individually failed to predict eating disorders. Level I, systematic review and meta-analysis. |
| Databáze: | OpenAIRE |
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