Background 

The symptom experience of adolescents and young adults (AYAs) with cancer can differ based on the cancer and its treatments. A dearth of information exists on how symptoms differ by individual factors such as age and gender.

Objectives 

The objectives were to describe symptoms in AYAs across 5 cancer diagnostic groups by the individual factors of age group, sex, race/ethnicity, and time since diagnosis; and then to describe symptoms based on these individual factors within diagnostic groups.

Methods 

This was a secondary analysis of baseline data pooled from 2 multisite studies on symptoms in AYAs with acute lymphoblastic leukemia, brain cancer, Hodgkin lymphoma, non-Hodgkin lymphoma, and sarcoma. Symptoms were assessed using the Computerized Symptom Capture Tool.

Results 

Data from 118 AYAs with cancer, aged 13 to 29 years, were analyzed. Eight of the most commonly reported symptoms were reported in at least 4 diagnostic groups. Across diagnostic groups, symptoms varied little based on individual factors. Within groups, certain symptoms differed in frequency by individual factors.

Conclusions 

The lack of major differences in symptom prevalence based on individual factors across diagnostic groups supports a heterogeneous approach to symptom research with AYAs. The study identified individual factors within diagnostic groups worthy of further exploration.

Implications for Practice 

Providers can facilitate discussions with AYAs about symptoms by being aware of common symptoms that may occur in certain cancer diagnostic groups and based on individual factors. The significance of the individual symptom experience should not be underestimated, emphasizing the importance of person-centered symptom assessment.

中文翻译：

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按诊断组划分的积极癌症治疗中青少年和年轻成人的症状概况

背景 

患有癌症的青少年和年轻人(AYA)的症状体验可能因癌症及其治疗而异。缺乏关于症状如何因年龄和性别等个体因素而异的信息。

目标 

目标是根据年龄组、性别、种族/族裔和诊断后时间等个体因素描述 5 个癌症诊断组的 AYA 症状；然后根据诊断组中的这些个体因素来描述症状。

方法 

这是对 AYA 急性淋巴细胞白血病、脑癌、霍奇金淋巴瘤、非霍奇金淋巴瘤和肉瘤症状的 2 项多中心研究汇总的基线数据的二次分析。使用计算机化症状捕获工具评估症状。

结果 

分析了 118 名年龄在 13 至 29 岁之间的患有癌症的 AYA 的数据。至少 4 个诊断组报告了八个最常报告的症状。在诊断组中，症状因个体因素而变化不大。在组内，某些症状的频率因个体因素而异。

结论 

基于跨诊断组的个体因素的症状流行率缺乏主要差异支持使用 AYA 进行症状研究的异质方法。该研究确定了诊断组中值得进一步探索的个体因素。

实践意义 

提供者可以通过了解某些癌症诊断组中可能出现的常见症状并根据个体因素促进与 AYA 讨论症状。不应低估个体症状体验的重要性，强调以人为本的症状评估的重要性。