Kamalumpundi Vijayvardhan, Smith Jessica K, Robinson Kathleen M, Saad Eddin Assim, Alatoum Aiah, Kasasbeh Ghena, Correia Marcelo L G, Vaughan Sarrazin Mary
Department of Internal Medicine Mayo Clinic Rochester Minnesota USA.
Roy J. and Lucille A. Carver College of Medicine University of Iowa Iowa City Iowa USA.
Obes Sci Pract. 2024 Oct 24;10(5):e70014. doi: 10.1002/osp4.70014. eCollection 2024 Oct.
Identifying patient-, facility-, and environment-level factors that influence the initiation and retention of comprehensive lifestyle management interventions (CLMI) for urban and rural Veterans could improve obesity treatment and reach at Veterans Affairs (VA) facilities.
This study identified factors at these various levels that predicted treatment engagement, retention, and weight management among urban and rural Veterans.
A retrospective cohort study of 631,325 Veterans was designed using VA databases to identify Veterans with class II and III obesity during 2015-2017. Primary outcomes were initiation of CLMI, bariatric surgery, or obesity pharmacotherapy within 1 year of index date. Secondary outcomes included treatment retention and successful weight loss. Generalized linear mixed models were used to evaluate the relationships between factors and obesity-related outcomes, with rurality differences assessed through interaction terms.
Patient characteristics associated with increased odds of initiating CLMI included female sex ( < 0.001), black race ( < 0.001), sleep apnea ( < 0.001), mood disorder ( < 0.001), and use of medications associated with weight loss ( < 0.001) or weight gain ( < 0.001). Facility use of telehealth was associated with greater odds of CLMI initiation in urban Veterans ( < 0.001) but lower retention in both populations ( = 0.003). Routine consideration of pharmacotherapy was associated with higher CLMI initiation. Environmental characteristics associated with increased odds of CLMI initiation included percent of population foreign born (OR = 1.03 per 10% increase; < 0.001), percent black ( < 0.001), and high walkability index ( < 0.001). The relationship between total population and CLMI initiation differed by rurality, as greater population was associated with lower odds of CLMI initiation in urban areas (OR: 0.99 per 1000 population; < 0.001), but higher odds in rural areas (OR:1.01, = 0.01). Veterans in the south were less likely to initiate CLMI and had lower retention ( < 0.001).
Treatment and retention of CLMI among Veterans remain low, highlighting areas for improvement to expand its reach both urban and rural Veterans.
识别影响城乡退伍军人全面生活方式管理干预措施(CLMI)启动和持续参与的患者、机构和环境层面因素,可能会改善退伍军人事务部(VA)设施中的肥胖症治疗及覆盖面。
本研究确定了这些不同层面的因素,这些因素可预测城乡退伍军人的治疗参与度、持续参与情况和体重管理。
利用VA数据库对631325名退伍军人进行了一项回顾性队列研究,以识别2015年至2017年期间患有II级和III级肥胖症的退伍军人。主要结局为在索引日期后1年内启动CLMI、进行减肥手术或接受肥胖症药物治疗。次要结局包括治疗持续参与情况和成功减重。使用广义线性混合模型评估因素与肥胖相关结局之间的关系,并通过交互项评估城乡差异。
与启动CLMI几率增加相关的患者特征包括女性(<0.001)、黑人种族(<0.001)、睡眠呼吸暂停(<0.001)、情绪障碍(<0.001)以及使用与体重减轻(<0.001)或体重增加(<0.001)相关的药物。在城市退伍军人中,机构使用远程医疗与启动CLMI的几率更高相关(<0.001),但在两类人群中持续参与率较低(=0.003)。常规考虑药物治疗与更高的CLMI启动率相关。与启动CLMI几率增加相关的环境特征包括外国出生人口百分比(每增加10%,OR=1.03;<0.001)、黑人百分比(<0.001)和高步行便利性指数(<0.001)。总人口与CLMI启动之间的关系因城乡而异,因为人口越多,城市地区启动CLMI的几率越低(每1000人口,OR:0.99;<0.001),而农村地区几率更高(OR:1.01,=0.01)。南部的退伍军人启动CLMI的可能性较小且持续参与率较低(<0.001)。
退伍军人中CLMI的治疗和持续参与率仍然较低,突出了需要改进的领域,以扩大其在城乡退伍军人中的覆盖面。