BMI trajectory groups in veterans of the Iraq and Afghanistan wars.

BMI trajectory groups in veterans of the Iraq and Afghanistan wars.
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DOI:
10.1016/j.ypmed.2011.07.001
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发表时间:
2011-09
影响因子:
5.1
通讯作者:
Haskell, Sally
Haskell, Sally
中科院分区:
医学2区
文献类型:
--
作者:
Rosenberger, Patricia H.;Ning, Yuming;Brandt, Cynthia;Allore, Heather;Haskell, Sally

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该研究旨在确定伊拉克/阿富汗退伍军人6年以上的BMI轨迹,并检查与BMI轨迹成员资格相关的社会人口因素。我们的研究样本包括16,656名退伍军人部署后进入退伍军人医疗保健管理局(VHA)医疗保健系统。我们使用国家VHA管理的社会人口统计学数据,跟踪退伍军人BMI 6年,并使用轨迹建模来识别BMI轨迹和与轨迹成员相关的社会人口统计学特征。在全样本中确定的5个轨迹组主要通过其展开后初始BMI进行区分:“健康”(14.1%)、“超重”(36.3%)、“临界肥胖”(27.9%)、“肥胖”(15.7%)和“严重肥胖”(6.0)。女性、年轻人和白色人与较低的初始BMI轨迹组成员相关(p <0.05)。观察到的BMI增加较大与各组间较高的初始BMI相关(0.6、0.8、1.5、1.9、2.7)。性别特异性轨迹模型发现,受过高等教育的男性退伍军人和白色女性退伍军人与最低的初始BMI组相关(p <0.05)。对于男性和女性退伍军人来说,较高的部署后BMI与随着时间的推移BMI增加相关。年龄越大,BMI越高,无论性别如何。教育水平和种族地位与性别的BMI轨迹存在差异。
The study sought to determine BMI trajectories in Iraq/Afghanistan veterans over 6 years and to examine sociodemographic factors associated with BMI trajectory membership. Our study sample included 16,656 veterans post-deployment and entering the Veteran Healthcare Administration (VHA) healthcare system. We used national VHA administrative sociodemo-graphic data, tracked veteran BMI for 6 years, and used trajectory modeling to identify BMI trajectories and sociodemographic characteristics associated with trajectory membership. Five trajectory groups determined in the full sample were primarily differentiated by their post-deployment initial BMI: “healthy” (14.1%), “overweight” (36.3%), “borderline obese” (27.9%), “obese” (15.7%), and “severely obese” (6.0). Being female, younger, and white were associated with lower initial BMI trajectory group membership (p’s<.05). Greater observed BMI increase was associated with higher initial BMI across groups (0.6, 0.8, 1.5, 1.9, 2.7). Gender specific trajectory models found that male Veterans with higher education and white female Veterans were associated with the lowest initial BMI group (p’s<.05). Higher post-deployment BMI was associated with greater BMI gain over time for both male and female veterans. Older age is associated with higher BMI regardless of gender. Education level and racial status are differentially related to BMI trajectory by gender.
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