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ADOLESCENT EATING DISORDERS: A SECOND LOOK

ADOLESCENT EATING DISORDERS: A SECOND LOOK
青少年饮食失调:再观察
批准号:
6189094
负责人:
Eva Petkova
金额:
$7.82万
依托单位国家:
美国
项目类别:
财政年份:
2000
资助国家:
美国
项目状态:
已结题
起止时间:
2000-09-01 至 2002-08-31

项目摘要

项目成果

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中文摘要
翻译
描述(改编自研究者摘要):进食障碍,a 由于其长期性和对健康影响, 通常开始于青春期。这项研究的目的是确定 青少年的潜在风险和保护因素,可能有助于 在儿科实践中筛查典型和非典型进食障碍,以及 这可能会产生关于这些疾病病因的假设。次级 某县中学两阶段流行病学调查分析 人口(n=5596)完成于1984-1985年,建议。第一阶段 包括一份调查问卷,其中提供了以下方面的评估 饮食态度,行为,其他精神病理学,以及体重史, 医学问题和月经史第二阶段包括 由经验丰富的临床医生进行的半结构化诊断访谈, 这导致了饮食失调的精神病诊断,其他选择 疾病,以及更详细的信息,相关的饮食 紊乱主要数据分析集中在精神疾病的患病率 症状和障碍的青少年,以及数据的关系, 进食障碍的潜在危险因素仅在初步研究中进行了探讨。 路上了鉴于饮食失调疾病分类学和统计学的进展, 因此,重新审视这一数据集是重要和及时的。一系列 分析,其中将包括足够的复杂的统计技术,我们 建议实现以下具体目标:(1)确定,在男孩 和女孩,潜在的风险和保护因素的关系, 神经性厌食症(AN)和神经性贪食症(BN);需要检查的因素包括 发育、节食、体重、健康、其他精神病理学、家庭和 人口统计学因素;(2)确定DSM IV进食综合征是否不同 从AN和BN,如暴饮暴食症可以确定在这方面, 人口,如果是,以确定这些综合征的潜在风险因素; (3)制定有效的饮食综合征筛查方案, 不仅利用每种综合征的主要特征, 上述因素。此应用程序的优势在于 应用最新进展的疾病分类学的饮食失调, 将复杂的统计技术应用于现有的数据集。这 一个独特的流行病学数据集,虽然具有横截面,但包含无与伦比的 关于饮食病理学的相关信息。从这个研究结果 将有助于描述和检测饮食失调, 青少年,将确定潜在的风险和保护因素,吃 病理学,并将有助于产生关于青少年病因学的假设 饮食失调
英文摘要
Description (adapted from the investigator's abstract): Eating disorders, a public health problem because of their chronicity and impact on health, typically begin during adolescence. The goal of this study is to identify potential risk and protective factors in adolescents, that may be useful in screening for typical and atypical eating disorders in pediatric practice, and that may generate hypotheses about the etiology of these disorders. A secondary analysis of a two-stage epidemiological study of a countywide high school population (n=5596) completed in 1984-1985, is proposed. The first stage consisted of a survey questionnaire, which provided dimensional assessments of eating attitudes, behaviors, other psychopathology, as well as weight history, medical problems, and menstrual history. The second stage consisted of semi-structured diagnostic interviews, conducted by experienced clinicians, which yielded psychiatric diagnoses for eating disorders, other selected disorders, as well as more detailed information on correlates of eating disorders. The primary data analysis focused on the prevalence of psychiatric symptoms and disorders in adolescents, and data regarding the relation of potential risk factors to eating disorders was explored only in a preliminary way. Given advances in the nosology of eating disorders and in statistical methods, a second look at this data set is important and timely. In a series of analyses which will include adequate sophisticated statistical techniques, we propose to accomplish the following specific aims: (1) to determine, in boys and girls separately, the relation of potential risk and protective factors for Anorexia Nervosa (AN) and Bulimia Nervosa (BN); factors to be examined include developmental, dieting, weight, health, other psychopathology, family, and demographic factors; (2) to determine if DSM IV eating syndromes are distinct from AN and BN, such as Binge Eating Disorder can be identified in this population and, if so, to determine potential risk factors for these syndromes; (3) to develop efficient screening protocols for eating syndromes, which will exploit not only the cardinal features of each syndrome but also potential risk factors identified above. The strengths of this application lie in the application of both recent advances in the nosology of eating disorders and sophisticated statistical techniques applied to an existing data set. This unique epidemiological dataset, although cross-sectional, contains unparalleled information on the correlates of eating pathology. Findings from this study will contribute to the description and detection of eating disorders in adolescents, will identify potential risk and protective factors for eating pathology and will help generate hypotheses about the etiology of adolescent eating disorders.
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