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本文引用的文献

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Relation of body mass index to depression and weighing frequency in overweight women.超重女性的体重指数与抑郁及称重频率的关系。
Prev Med. 2007 Jul;45(1):75-9. doi: 10.1016/j.ypmed.2007.03.008. Epub 2007 Mar 31.
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Medical record versus researcher measures of height and weight.病历与研究人员测量的身高和体重数据对比
Biol Res Nurs. 2006 Jul;8(1):15-23. doi: 10.1177/1099800406288903.
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Obesity research--limitations of methods, measurements, and medications.肥胖研究——方法、测量及药物的局限性
JAMA. 2006 Feb 15;295(7):826-8. doi: 10.1001/jama.295.7.826.
4
Modern statistical methods for handling missing repeated measurements in obesity trial data: beyond LOCF.处理肥胖试验数据中缺失重复测量值的现代统计方法:超越末次观测结转法。
Obes Rev. 2003 Aug;4(3):175-84. doi: 10.1046/j.1467-789x.2003.00109.x.
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Interpreting incomplete data in studies of diet and weight loss.解读饮食与减肥研究中的不完整数据。
N Engl J Med. 2003 May 22;348(21):2136-7. doi: 10.1056/NEJMe030054.
6
Effects of age on validity of self-reported height, weight, and body mass index: findings from the Third National Health and Nutrition Examination Survey, 1988-1994.年龄对自我报告的身高、体重和体重指数有效性的影响:1988 - 1994年第三次全国健康与营养检查调查结果
J Am Diet Assoc. 2001 Jan;101(1):28-34; quiz 35-6. doi: 10.1016/S0002-8223(01)00008-6.
7
Validity and usefulness of medical chart weights in the long-term evaluation of weight loss programs.医疗图表体重数据在减肥项目长期评估中的有效性和实用性。
Addict Behav. 1988;13(2):171-5. doi: 10.1016/0306-4603(88)90007-x.

在一项随机试验中,临床体重测量作为缺失数据替代指标的有效性。

Validity of Clinical Body Weight Measures as Substitutes for Missing Data in a Randomized Trial.

作者信息

Arterburn David, Ichikawa Laura, Ludman Evette J, Operskalski Belinda, Linde Jennifer A, Anderson Emily, Rohde Paul, Jeffery Robert W, Simon Greg E

机构信息

Group Health Center for Health Studies, Seattle, WA, USA.

出版信息

Obes Res Clin Pract. 2008 Dec;2(4):277-281. doi: 10.1016/j.orcp.2008.09.002.

DOI:10.1016/j.orcp.2008.09.002
PMID:19956347
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2621319/
Abstract

BACKGROUND

Long-term follow-up of weight loss interventions is essential, but collecting weights can be difficult, and self-reports inaccurate. We examined the relationship between weight measures obtained in the context of a weight loss trial and in routine clinical care. METHODS: Body weight data from a trial of behavioral obesity treatment among 88 obese women and 203 women age 40 to 65 years with comorbid obesity and depression were compared against weight data entered into an electronic medical record (EMR) during routine clinical care. Study and EMR weights and weight changes were then compared at 6 and 12 months using scatterplots, Pearson's correlations, and t-tests. RESULTS: The 12-month follow-up rate for this trial was 77%. Among the 224 12-month completers, 142 women (63%) had an EMR weight within 90 days of their 12-month study weight. Study and EMR weights were highly correlated (0.99), with a mean difference of 0.1 kg. The correlation between two measures of 12-month weight change using study and EMR weights was 0.96. These results were robust to sensitivity analyses that explored the impact of different-sized windows for matching clinical weights with study weights. Among the 67 women who were missing study weights at 12 months, 33 (49%) had an EMR weight available within 90 days of their missed follow-up appointment. CONCLUSIONS: Weight measures routinely obtained in clinical care are highly correlated with those obtained by trained research staff and may be used, without statistical correction, to achieve higher rates of long-term follow-up in weight loss studies.

摘要

背景

对减肥干预措施进行长期随访至关重要,但收集体重数据可能困难,且自我报告不准确。我们研究了在减肥试验背景下获得的体重测量值与常规临床护理中获得的体重测量值之间的关系。方法:将88名肥胖女性以及203名年龄在40至65岁之间患有肥胖症合并抑郁症的女性进行行为肥胖治疗试验中的体重数据,与常规临床护理期间录入电子病历(EMR)的体重数据进行比较。然后使用散点图、Pearson相关性分析和t检验,比较研究组和电子病历组在6个月和12个月时的体重及体重变化。结果:该试验的12个月随访率为77%。在224名12个月的完成者中,142名女性(63%)在其12个月研究体重的90天内有电子病历记录的体重。研究组和电子病历组的体重高度相关(0.99),平均差异为0.1千克。使用研究组和电子病历组体重测量的12个月体重变化的两种测量方法之间的相关性为0.96。这些结果在敏感性分析中是稳健的,敏感性分析探讨了不同大小窗口对匹配临床体重与研究体重的影响。在12个月时缺失研究组体重的67名女性中,33名(49%)在错过随访预约的90天内有电子病历记录的体重。结论:临床护理中常规获得的体重测量值与经过培训的研究人员获得的测量值高度相关,并且在减肥研究中可用于在不进行统计校正的情况下实现更高的长期随访率。