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Somatic symptom profiles in the general population: a latent class analysis in a Danish population-based health survey

机译:普通人群的躯体症状概况:基于丹麦人群的健康调查中的潜在类别分析

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Purpose: The aim of this study was to identify and describe somatic symptom profiles in the general adult population in order to enable further epidemiological research within multiple somatic symptoms. Methods: Information on 19 self-reported common somatic symptoms was achieved from a population-based questionnaire survey of 36,163 randomly selected adults in the Capital Region of Denmark (55.4% women). The participants stated whether they had been considerably bothered by each symptom within 14?days prior to answering the questionnaire. We used latent class analysis to identify the somatic symptom profiles. The profiles were further described by their association with age, sex, chronic disease, and self-perceived health. Results: We identified 10 different somatic symptom profiles defined by number, type, and site of the symptoms. The majority of the population (74.0%) had a profile characterized by no considerable bothering symptoms, while a minor group of 3.9% had profiles defined by a high risk of multiple somatic symptoms. The remaining profiles were more likely to be characterized by a few specific symptoms. The profiles could further be described by their associations with age, sex, chronic disease, and self-perceived health. Conclusion: The identified somatic symptom profiles could be distinguished by number, type, and site of the symptoms. The profiles have the potential to be used in further epidemiological studies on risk factors and prognosis of somatic symptoms but should be confirmed in other population-based studies with specific focus on symptom burden.
机译:目的:本研究的目的是识别和描述一般成年人群中的躯体症状,以便在多种躯体症状内进行进一步的流行病学研究。方法:通过对丹麦首都地区36163名随机选择的成年人(55.4%的女性)进行基于人群的问卷调查,获得了19种自我报告的常见躯体症状的信息。参与者表示在回答问卷之前的14天内是否已被每种症状严重困扰。我们使用潜在类分析来识别躯体症状。通过与年龄,性别,慢性疾病和自我认知的健康之间的关联来进一步描述这些概况。结果:我们确定了10种不同的躯体症状,这些症状由症状的数量,类型和部位定义。大部分人口(74.0%)的特征是没有明显的困扰症状,而3.9%的少数人群的特征是具有多种躯体症状的高风险。其余配置文件更有可能以一些特定症状为特征。可以通过它们与年龄,性别,慢性疾病和自我感知的健康的关联来进一步描述这些概况。结论:所识别出的躯体症状可以通过症状的数量,类型和部位来区分。这些资料有可能用于危险因素和躯体症状预后的进一步流行病学研究中,但应在其他基于人群症状的研究中予以证实。

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