Hadaye Rujuta S, Rahini S
Department of Community Medicine, T. N. Medical College and B.Y.L. Nair Ch. Hospital, Mumbai, Maharashtra, India.
Department of Community Medicine, Sri Venkateswaraa Medical College Hospital and Research Institute, Chennai, Tamil Nadu, India.
J Educ Health Promot. 2024 Sep 28;13:343. doi: 10.4103/jehp.jehp_1079_23. eCollection 2024.
Eating disorders are more prevalent in Western countries and their prevalence is on the rise in India, mainly due to peer pressure and the influence of media. However, research on eating disorders is limited in India. The aim of this study is to estimate the prevalence of eating disorders among senior college students and to ascertain factors for eating disorder risk.
A cross-sectional study was conducted among 807 students attending 2 of the arts and science colleges in a metropolitan city (Mumbai) over a period of 12 months from June 2019 to June 2020. A predesigned case record form was used to collect information on sociodemographic profiles and other factors related to eating disorder risk. Eating Attitude test (EAT-26) was used as a screening test to find the prevalence of those at risk for eating disorders. Munich-ED quest was used for the diagnosis of the eating disorder.
Data were analyzed using SPSS version 16.0. The Chi-square test was used to find the association of various factors with eating disorder risk. Our study found the overall proportion of eating disorder risk to be 42.25%. Among them, 19 (2.35%) individuals had night eating syndrome and 7 (0.86%) had binge eating syndrome as per DSM-5 criteria using Munich ED Quest. On logistic regression, we found fasting once or twice a week (OR: 2.916;95%CI: 1.524-5.574; = 0.001), increase in duration of physical activities for more than 10 h a week (OR: 3.874; 95% CI: 2.200-6.821; < 0.001), being commented for weight by friends/relatives (OR: 1.695; 95% CI: 1.244-2.309; = 0.001), and thought of being overweight (OR: 1.763;95% CI: 1.178-2.639; = 0.006) to be significantly associated with risk of eating disorders. The age group of 18-20 years (OR: 0.519;95%CI: 0.345-0.782; = 0.002) was found to be at lower risk for eating disorders compared to the 22-24 year age group.
Screening of students with a simple tool like EAT-26 would prove beneficial in the early identification of those at risk of eating disorders.
饮食失调在西方国家更为普遍，在印度其患病率也在上升，主要是由于同伴压力和媒体的影响。然而，印度对饮食失调的研究有限。本研究的目的是估计高年级大学生中饮食失调的患病率，并确定饮食失调风险因素。
在2019年6月至2020年6月的12个月期间，对大都市（孟买）两所文理学院的807名学生进行了横断面研究。使用预先设计的病例记录表收集社会人口学特征和其他与饮食失调风险相关因素的信息。使用饮食态度测试（EAT-26）作为筛查测试，以发现饮食失调风险人群的患病率。使用慕尼黑饮食失调问卷进行饮食失调的诊断。
使用SPSS 16.0版本对数据进行分析。采用卡方检验来发现各种因素与饮食失调风险的关联。我们的研究发现饮食失调风险的总体比例为42.25%。其中，根据使用慕尼黑饮食失调问卷的DSM-5标准，19人（2.35%）患有夜间饮食综合征，7人（0.86%）患有暴饮暴食综合征。在逻辑回归分析中，我们发现每周禁食一到两次（OR：2.916；95%CI：1.524 - 5.574；P = 0.001）、每周体育活动时间增加超过10小时（OR：3.874；95%CI：2.200 - 6.821；P < 0.001）、被朋友/亲戚评论体重（OR：1.695；95%CI：1.244 - 2.309；P = 0.001）以及认为自己超重（OR：1.763；95%CI：1.178 - 2.639；P = 0.006）与饮食失调风险显著相关。与22 - 24岁年龄组相比，18 - 20岁年龄组（OR：0.519；95%CI：0.345 - 0.782；P = 0.002）的饮食失调风险较低。
使用像EAT-26这样的简单工具对学生进行筛查，将有助于早期识别饮食失调风险人群。
