Eating Disorders Across Genders, Generations, and Adult Developmental Stages

关于饮食失调症（ED）的患病率如何在几代人之间发生变化， ED在成人发展过程中的轨迹。这项研究提供了一个独特的机会，1）检查 5个大学生队列的艾德点患病率和维度艾德测量的平均得分 在1982年，1992年，2002年，2012年和2022年从同一所大学人口中随机抽样，2）检查 从青少年晚期到中年（18至62岁以上）的饮食病理学纵向过程，以及3）确定 当然，预测者关注的是成年人特有的因素。该项目将提供新的见解， 世代影响ED中的性别差异以及性别和世代如何影响纵向 弹道该项目建立在1982年启动的一项研究基础上，并通过增加新的队列进行复制， 自其成立以来，每10年对特征明确的既定队列进行一次随访。在 2022年春季，将随机抽取1600名本科生（800名女性和800名男性）完成 调查体重、身高、体像障碍、节食、饮食行为障碍和ED。此外，本发明还提供了一种方法， 在大学完成这些评估的参与者将被要求进行10年，20年，30年和40年的随访- 起来我们计划收集超过1，700名成年人（>70%保留）的20年随访数据，其中包括近500名 男性和400多名来自少数民族/种族群体的参与者。这些数据将使我们能够检查 X世代的年龄效应，以确定婴儿潮一代的饮食病理学过程是否不同（1982年 世代（1992年）和千禧世代（2002年）。调查将分两次进行 阶段：调查阶段和访谈阶段。调查阶段将重复用于数据的方法 在所有前几波中收集数据，以确保数据的可比性。调查包括有关人口统计的详细项目 背景;身高和体重;节食，身体形象和锻炼;饮食失调量表的5个量表 （贪食症，瘦，成熟恐惧，完美主义和人际不信任）;和症状 神经性厌食症，神经性贪食症，暴食症，并允许DSM-5艾德诊断和诊断 它们的部分和亚阈值变体。此外，从第三波开始，调查包括饮食 疾病诊断量表，作为NIMH的核心艾德评估。在自我报告的基础上 调查数据，所有被诊断患有艾德的受试者和与这些受试者在年龄、性别、种族和 将招募种族参与研究的访谈阶段。访谈将确定 调查评估的有效性，以及提供有关心理社会功能、自杀倾向、合并症和 非临床样本的治疗史，类似于20年前在第3波中的使用。长期 该项目的目标是评估我们在减轻公共卫生负担方面是否取得了进展 与ED相关，确定ED的成人发展过程，并确定艾德轨迹的预测因子 这可以转化为干预的目标，包括修改什么、修改谁以及何时修改。

Very little is known about how the prevalence of eating disorders (EDs) has changed across generations or the trajectory of EDs over the course of adult development. This study offers a unique opportunity to 1) examine ED point prevalence and mean scores on dimensional ED measures across 5 cohorts of college students randomly sampled from the same university population in 1982, 1992, 2002, 2012, and 2022, 2) examine the longitudinal course of eating pathology from late adolescence to midlife (18 to 62+ years), and 3) identify predictors of course focusing on factors unique to adulthood. This project will offer new insights into how generation impacts gender differences in EDs and how both gender and generation impact longitudinal trajectory. This project builds on a study initiated in 1982 and replicated with the addition of new cohorts and extended with follow-up of well-characterized, established cohorts every 10 years since its inception. In the spring of 2022, 1600 undergraduates (800 women and 800 men) will be randomly sampled to complete surveys of weight, height, body image disturbance, dieting, disordered eating behaviors, and EDs. In addition, participants who completed these assessments in college will be sought for 10-, 20-, 30-, and 40-year follow- up. We project collecting 20-year follow-up data in over 1,700 adults (>70% retention), including nearly 500 men and over 400 participants from ethnic/racial minority groups. These data will allow us to examine generation X age effects to determine whether course of eating pathology differs across Baby Boomers (1982 cohort), Generation X (1992 cohort), and Millennials (2002 cohort). The investigation will be conducted in two stages: a survey phase and an interview phase. The survey phase will replicate methods employed for data collection in all prior waves to ensure comparability of data. Surveys include detailed items about demographic background; height and weight; dieting, body image, and exercise; 5 scales of the Eating Disorders Inventory (Bulimia, Drive for Thinness, Maturity Fears, Perfectionism, and Interpersonal Distrust); and symptoms of anorexia nervosa, bulimia nervosa, binge-eating disorder, and permit DSM-5 ED diagnosis and diagnoses of their partial and subthreshold variants. In addition, beginning in the 3rd wave, surveys included the Eating Disorder Diagnostic Scale which is included as a core ED assessment for the NIMH. On the basis of self-report survey data, all subjects diagnosed with an ED and controls matched to these subjects on age, sex, race, and ethnicity will be recruited for participation in the interview phase of the study. Interviews will establish the validity of survey assessments, as well as provide data on psychosocial function, suicidality, comorbidity, and treatment history for a nonclinical sample, similar to their use in the 3rd wave, 20 years ago. The long-term objectives of this project are to evaluate whether we are making progress in reducing the public health burden associated with EDs, determine the adult developmental course of EDs, and identify predictors of ED trajectory that can be translated into targets for intervention, including what to modify, in whom, and when.