商业项目中早期体重减轻的重要性及其他体重减轻的预测因素:二手数据分析

Christopher D. Coleman, Jessica R. Kiel, Liana L. Guarneiri, Marjorie Bell, Meredith L. Wilcox, Kevin C. Maki, J. Unick, Satya S. Jonnalagadda
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引用次数: 0

摘要

个体间对减肥干预措施的反应存在很大差异,而新出现的证据表明,干预措施初期几周的体重减轻情况可能预示着长期的体重减轻情况。因此,本研究对一项商业项目的数据进行了二次分析,研究内容包括:1)早期体重减轻(即第 4 周)与最终就诊体重减轻和项目持续时间之间的关联;2)最终就诊体重减轻较低的其他预测因素。分析了超重或肥胖成人的客户病历(N = 748),并将客户在第 4 周(< 和≥2%、3% 和 4%)和最终访问(< 和≥5% 和 10%)时的体重减轻情况进行了分层。与第4周体重下降≥2%或≥3%的客户相比,第4周体重下降<2%或<3%的客户最终就诊时体重下降<5%或<10%的几率比较大(49.0(95% CI:13.84,173.63)和20.1(95% CI:6.96,58.06))。其他预测体重未达到临床相关水平的因素还包括女性性别、使用高热量膳食计划以及参与该计划的时间较短等。与未达到 2% 临界值的人相比,第 4 周体重下降≥2% 的人的计划完成率也明显更高(109.2 ± 75.2% vs. 82.3 ± 82.4,p < 0.01)。这些结果可能有助于及早确定哪些人可以成为额外咨询和支持的目标,以帮助他们实现减肥目标。
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Importance of early weight loss and other predictors of lower weight loss in a commercial program: A secondary data analysis
There is substantial inter‐individual variability in response to weight loss interventions and emerging evidence suggests that weight loss during the early weeks of an intervention may be predictive of longer‐term weight loss. This secondary analysis of data from a commercial program therefore examined 1) the associations between early weight loss (i.e., week 4) with final visit weight loss and duration on the program, and 2) other predictors of lower weight loss at final visit.Client charts of adults with overweight or obesity (N = 748) were analyzed. Clients were stratified into categories of weight loss at the week 4 (< and ≥2%, 3% and 4%) and final visits (< and ≥5% and 10%). Multivariate logistic regression was used to assess predictors of <5% and <10% final visit weight loss.The odds ratios for losing <5% or <10% of weight at the final visit were higher (49.0 (95% CI: 13.84, 173.63) and 20.1 (95% CI: 6.96, 58.06)) for clients who lost <2% or <3% compared to those who lost ≥2% or ≥3% at week 4. Other predictors of not losing a clinically relevant amount of weight included female sex, use of higher calorie meal plans and shorter time in the program, among others. Those who lost ≥2% at week 4 also had a significantly greater percent program completion (109.2 ± 75.2% vs. 82.3 ± 82.4, p < 0.01) compared with those who did not meet the 2% threshold.Lower 4‐week weight loss was identified as a strong predictor of not losing a clinically relevant amount of weight. These results may be useful for the early identification of individuals who can be targeted for additional counseling and support to aid in attaining weight loss goals.
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