An Exploratory Study of Fatigue and Physical Activity in Canadian Thyroid Cancer Patients

医学 人口 物理疗法 内科学 环境卫生
作者
Ahmad Alhashemi,Jennifer M. Jones,David P. Goldstein,Daniel Santa Mina,Lehana Thabane,Catherine M. Sabiston,Eugene Chang,James D. Brierley,Anna M. Sawka
出处
期刊:Thyroid [Mary Ann Liebert, Inc.]
卷期号:27 (9): 1156-1163 被引量:19
标识
DOI:10.1089/thy.2016.0541
摘要

Background: Fatigue is common among cancer survivors, but fatigue in thyroid cancer (TC) survivors may be under-appreciated. This study investigated the severity and prevalence of moderate and severe fatigue in TC survivors. Potential predictive factors, including physical activity, were explored. Methods: A cross-sectional, written, self-administered TC patient survey and retrospective chart review were performed in an outpatient academic Endocrinology clinic in Toronto, Canada. The primary outcome measure was the global fatigue score measured by the Brief Fatigue Inventory (BFI). Physical activity was evaluated using the International Physical Activity Questionnaire—7 day (IPAQ-7). Predictors of BFI global fatigue score were explored in univariate analyses and a multivariable linear regression model. Results: The response rate was 63.1% (205/325). Three-quarters of the respondents were women (152/205). The mean age was 52.5 years, and the mean time since first TC surgery was 6.8 years. The mean global BFI score was 3.5 (standard deviation 2.4) out of 10 (10 is worst). The prevalence of moderate-severe fatigue (global BFI score 4.1–10 out of 10) was 41.4% (84/203). Individuals who were unemployed or unable to work due to disability reported significantly higher levels of fatigue compared to the rest of the study population, in uni-and multivariable analyses. Furthermore, increased physical activity was associated with reduced fatigue in uni- and multivariable analyses. Other socio-demographic, disease, or biochemical variables were not significantly associated with fatigue in the multivariable model. Conclusions: Moderate or severe fatigue was reported in about 4/10 TC survivors. Independent predictors of worse fatigue included unemployment and reduced physical activity.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
FashionBoy应助Monster采纳,获得10
1秒前
2秒前
姬文博发布了新的文献求助10
3秒前
科研通AI6.3应助peppa采纳,获得10
3秒前
5秒前
6秒前
向梅发布了新的文献求助20
7秒前
8秒前
suiwuya发布了新的文献求助10
9秒前
传奇3应助默笙采纳,获得10
9秒前
zz完成签到,获得积分10
11秒前
12秒前
12秒前
hrbykdxly完成签到,获得积分10
12秒前
12秒前
13秒前
15秒前
木光发布了新的文献求助10
16秒前
16秒前
16秒前
17秒前
18秒前
许思颖发布了新的文献求助10
18秒前
19秒前
Maisie发布了新的文献求助10
19秒前
19秒前
19秒前
斯德哥尔摩完成签到,获得积分10
20秒前
闫佳美发布了新的文献求助10
20秒前
yjy发布了新的文献求助10
20秒前
田様应助sunshine采纳,获得10
20秒前
21秒前
Angew来来来完成签到,获得积分10
22秒前
静好发布了新的文献求助10
22秒前
23秒前
williamwzt发布了新的文献求助10
24秒前
26秒前
peppa发布了新的文献求助10
26秒前
吕老黄发布了新的文献求助10
26秒前
27秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
模型平均及其应用 900
Nondestructive Testing Handbook: Vol. 4, Thermal and Infrared Testing (IR), 4th ed 800
作者名:Kristopher P. Plain,悉尼大学的,目前只能查到其四篇论文,想找到其博士论文 590
Évora na Idade Média 555
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Structural Analysis 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7352660
求助须知:如何正确求助?哪些是违规求助? 8963755
关于积分的说明 19043108
捐赠科研通 7001556
什么是DOI,文献DOI怎么找? 3221523
关于科研通互助平台的介绍 2385980
邀请新用户注册赠送积分活动 2201982