WITHDRAWN: Higher baseline BMI and lower estimated median income associated with increasing BMI after endometrial cancer diagnosis

医学 子宫内膜癌 体质指数 肥胖 癌症 内科学 人口学 社会学
作者
Shariska P. Harrington,Julia Balmaceda,Lori Spoozak,Andrea Jewell,Sharon Fitzgerald Wolff
出处
期刊:Gynecologic oncology reports [Elsevier]
卷期号:44: 101109-101109
标识
DOI:10.1016/j.gore.2022.101109
摘要

Endometrial cancer is often directly related to obesity and interventions for weight loss have mixed results. Risk factors for continued weight gain after diagnosis are not clearly defined in the literature. The objective of this study is to describe risk factors associated with increased body mass index (BMI) trajectory among endometrial cancer patients.Patients who were surgically treated for endometrial cancer at a single institution between 2010 and 2015 were identified. Demographics including age, race/ethnicity and estimated median income at diagnosis were obtained. BMI at five time points after diagnosis were calculated. BMI trajectories were estimated by latent class growth modeling using the PROC TRAJ procedure in SAS. Chi-squared tests and ANOVA were used to assess differences between trajectory groups. Statistical significance was set to a p-value < 0.05.Of 695 patients included in the study, the average age at diagnosis was 62 years and over 70% of patients were obese at baseline. Patients experienced increasing, stable, or decreasing BMI over 2 years following diagnosis. Patients with younger age and lower estimated median income were most likely to be in the increasing BMI group. Among obese patients, those with Class I obesity (BMI 30 to 34.9 kg/m2) were most likely to experience decreasing BMI and those with Class III obesity (BMI > 40 kg/m2) were most likely to experience increasing BMI, p < 0.0001.A third of endometrial cancer survivors experience increasing BMI. Severity of obesity at diagnosis matters, patients with severe obesity (Class III) were most likely to experience weight gain.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
苹果易真完成签到,获得积分10
1秒前
李爱国应助bluesky采纳,获得10
1秒前
追忆发布了新的文献求助10
2秒前
1MENINA1完成签到 ,获得积分10
3秒前
WLGH7发布了新的文献求助10
4秒前
llll发布了新的文献求助10
5秒前
BruceYuan完成签到,获得积分10
7秒前
8秒前
慕青应助WLGH7采纳,获得10
8秒前
Lucas应助Bran采纳,获得10
8秒前
追忆完成签到,获得积分20
8秒前
10秒前
lMiraclel完成签到,获得积分10
10秒前
李爱国应助大傻采纳,获得10
10秒前
11秒前
12秒前
12秒前
共享精神应助生锈的铁片采纳,获得30
13秒前
英姑应助WOLF采纳,获得10
13秒前
谷安发布了新的文献求助30
13秒前
陆驳发布了新的文献求助10
15秒前
大王王发布了新的文献求助30
15秒前
LI发布了新的文献求助10
15秒前
smallsix发布了新的文献求助10
15秒前
南桑完成签到 ,获得积分10
15秒前
科研通AI2S应助Colden采纳,获得20
15秒前
纯牛奶完成签到,获得积分10
15秒前
苏苏爱学习完成签到,获得积分10
16秒前
16秒前
bluesky发布了新的文献求助10
17秒前
激流勇进wb完成签到 ,获得积分10
17秒前
17秒前
大气的玉米完成签到,获得积分10
18秒前
19秒前
21秒前
xxxxam完成签到,获得积分10
22秒前
WSS发布了新的文献求助10
22秒前
忧郁的猕猴桃完成签到,获得积分10
26秒前
26秒前
小鹿5460发布了新的文献求助10
27秒前
高分求助中
Production Logging: Theoretical and Interpretive Elements 2000
Very-high-order BVD Schemes Using β-variable THINC Method 1200
BIOLOGY OF NON-CHORDATES 1000
进口的时尚——14世纪东方丝绸与意大利艺术 Imported Fashion:Oriental Silks and Italian Arts in the 14th Century 800
Autoregulatory progressive resistance exercise: linear versus a velocity-based flexible model 550
The Collected Works of Jeremy Bentham: Rights, Representation, and Reform: Nonsense upon Stilts and Other Writings on the French Revolution 320
Generative AI in Higher Education 300
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3355705
求助须知:如何正确求助?哪些是违规求助? 2979586
关于积分的说明 8690536
捐赠科研通 2661027
什么是DOI,文献DOI怎么找? 1457017
科研通“疑难数据库(出版商)”最低求助积分说明 674646
邀请新用户注册赠送积分活动 665477