Vijayvardhan Kamalumpundi, Jessica K Smith, Kathleen M Robinson, Assim Saad Eddin, Aiah Alatoum, Ghena Kasasbeh, Marcelo L G Correia, Mary Vaughan Sarrazin
{"title":"与美国退伍军人肥胖症治疗相关的患者、设施和环境因素。","authors":"Vijayvardhan Kamalumpundi, Jessica K Smith, Kathleen M Robinson, Assim Saad Eddin, Aiah Alatoum, Ghena Kasasbeh, Marcelo L G Correia, Mary Vaughan Sarrazin","doi":"10.1002/osp4.70014","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Aims: </strong>This study identified factors at these various levels that predicted treatment engagement, retention, and weight management among urban and rural Veterans.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>Patient characteristics associated with increased odds of initiating CLMI included female sex (<i>p</i> < 0.001), black race (<i>p</i> < 0.001), sleep apnea (<i>p</i> < 0.001), mood disorder (<i>p</i> < 0.001), and use of medications associated with weight loss (<i>p</i> < 0.001) or weight gain (<i>p</i> < 0.001). Facility use of telehealth was associated with greater odds of CLMI initiation in urban Veterans (<i>p</i> < 0.001) but lower retention in both populations (<i>p</i> = 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; <i>p</i> < 0.001), percent black (<i>p</i> < 0.001), and high walkability index (<i>p</i> < 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; <i>p</i> < 0.001), but higher odds in rural areas (OR:1.01, <i>p</i> = 0.01). Veterans in the south were less likely to initiate CLMI and had lower retention (<i>p</i> < 0.001).</p><p><strong>Conclusion: </strong>Treatment and retention of CLMI among Veterans remain low, highlighting areas for improvement to expand its reach both urban and rural Veterans.</p>","PeriodicalId":19448,"journal":{"name":"Obesity Science & Practice","volume":"10 5","pages":"e70014"},"PeriodicalIF":1.9000,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11500758/pdf/","citationCount":"0","resultStr":"{\"title\":\"Patient, facility, and environmental factors associated with obesity treatment in US Veterans.\",\"authors\":\"Vijayvardhan Kamalumpundi, Jessica K Smith, Kathleen M Robinson, Assim Saad Eddin, Aiah Alatoum, Ghena Kasasbeh, Marcelo L G Correia, Mary Vaughan Sarrazin\",\"doi\":\"10.1002/osp4.70014\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>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.</p><p><strong>Aims: </strong>This study identified factors at these various levels that predicted treatment engagement, retention, and weight management among urban and rural Veterans.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>Patient characteristics associated with increased odds of initiating CLMI included female sex (<i>p</i> < 0.001), black race (<i>p</i> < 0.001), sleep apnea (<i>p</i> < 0.001), mood disorder (<i>p</i> < 0.001), and use of medications associated with weight loss (<i>p</i> < 0.001) or weight gain (<i>p</i> < 0.001). Facility use of telehealth was associated with greater odds of CLMI initiation in urban Veterans (<i>p</i> < 0.001) but lower retention in both populations (<i>p</i> = 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; <i>p</i> < 0.001), percent black (<i>p</i> < 0.001), and high walkability index (<i>p</i> < 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; <i>p</i> < 0.001), but higher odds in rural areas (OR:1.01, <i>p</i> = 0.01). Veterans in the south were less likely to initiate CLMI and had lower retention (<i>p</i> < 0.001).</p><p><strong>Conclusion: </strong>Treatment and retention of CLMI among Veterans remain low, highlighting areas for improvement to expand its reach both urban and rural Veterans.</p>\",\"PeriodicalId\":19448,\"journal\":{\"name\":\"Obesity Science & Practice\",\"volume\":\"10 5\",\"pages\":\"e70014\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2024-10-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11500758/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Obesity Science & Practice\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1002/osp4.70014\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/10/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q3\",\"JCRName\":\"ENDOCRINOLOGY & METABOLISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Obesity Science & Practice","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/osp4.70014","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/10/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
引用次数: 0
摘要
背景:目的:本研究确定了影响城市和农村退伍军人启动和保留综合生活方式管理干预(CLMI)的患者、设施和环境层面的因素,从而改善退伍军人事务(VA)设施的肥胖治疗和覆盖范围:利用退伍军人事务部的数据库,对 631325 名退伍军人进行了回顾性队列研究,以确定 2015-2017 年期间患有 II 级和 III 级肥胖症的退伍军人。主要结果是在索引日期后 1 年内开始 CLMI、减肥手术或肥胖药物治疗。次要结果包括治疗保持率和成功减重率。研究采用广义线性混合模型来评估各种因素与肥胖相关结果之间的关系,并通过交互项来评估地区差异:结果:与开始 CLMI 的几率增加相关的患者特征包括女性(p p p p p p p p = 0.003)。常规考虑药物治疗与较高的 CLMI 启动率相关。与开始 CLMI 的几率增加相关的环境特征包括外国出生人口的百分比(每增加 10%,OR = 1.03;p p p p p = 0.01)。南部地区的退伍军人启动 CLMI 的几率较低,保留率也较低(P 结语:在美国退伍军人中,CLMI 的治疗和保留率均高于其他地区的退伍军人:在退伍军人中,CLMI 的治疗率和保留率仍然较低,这突出表明了需要改进的领域,以扩大其在城市和农村退伍军人中的覆盖范围。
Patient, facility, and environmental factors associated with obesity treatment in US Veterans.
Background: 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.
Aims: This study identified factors at these various levels that predicted treatment engagement, retention, and weight management among urban and rural Veterans.
Methods: 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.
Results: Patient characteristics associated with increased odds of initiating CLMI included female sex (p < 0.001), black race (p < 0.001), sleep apnea (p < 0.001), mood disorder (p < 0.001), and use of medications associated with weight loss (p < 0.001) or weight gain (p < 0.001). Facility use of telehealth was associated with greater odds of CLMI initiation in urban Veterans (p < 0.001) but lower retention in both populations (p = 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; p < 0.001), percent black (p < 0.001), and high walkability index (p < 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; p < 0.001), but higher odds in rural areas (OR:1.01, p = 0.01). Veterans in the south were less likely to initiate CLMI and had lower retention (p < 0.001).
Conclusion: Treatment and retention of CLMI among Veterans remain low, highlighting areas for improvement to expand its reach both urban and rural Veterans.