Transportation Barriers and Diabetes Outcomes: A Longitudinal Analysis.

IF 3 Q1 PRIMARY HEALTH CARE
Seth A Berkowitz, Aileen Ochoa, Myklynn LaPoint, Marlena L Kuhn, Jenine Dankovchik, Jenna M Donovan, Mufeng Gao, Sanjay Basu, Michael G Hudgens, Rachel Gold
{"title":"Transportation Barriers and Diabetes Outcomes: A Longitudinal Analysis.","authors":"Seth A Berkowitz, Aileen Ochoa, Myklynn LaPoint, Marlena L Kuhn, Jenine Dankovchik, Jenna M Donovan, Mufeng Gao, Sanjay Basu, Michael G Hudgens, Rachel Gold","doi":"10.1177/21501319251320709","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>To estimate associations between transportation barriers and diabetes outcomes.</p><p><strong>Methods: </strong>Longitudinal cohort study; 86 977 adults with type 2 diabetes mellitus in community-based health centers were assessed for transportation barriers, with up to 36 months of follow-up after initial assessment. We compared scenarios in which individuals did not experience transportation barriers to scenarios in which they did, to estimate differences in mean hemoglobin a1c (HbA1c), systolic and diastolic blood pressure (SBP and DBP), and LDL cholesterol. For analysis, we used targeted minimum loss estimation at the following timepoints after initial transportation barrier assessment: 12 (primary), 6, 18, 24, 30, and 36 months. The study period was June 24, 2016 to April 30, 2023.</p><p><strong>Results: </strong>We estimated that if participants did not experience transportation barriers, mean HbA1c would have been 0.09% lower (95% CI = -0.14% to -0.04%, <i>P</i> = .0002) at 12 months, compared to a scenario in which they did experience transportation barriers. These results were similar at other time points. We also estimated that absence of transportation barriers was associated with, at 12 months, lower SBP (-0.6mm Hg, 95% CI = -1.0mm Hg to -0.2mm Hg, <i>P</i> = .004) and DBP (-0.3mm Hg, 95% CI = -0.5mm Hg to -0.1mm Hg, <i>P</i> = .02), but not LDL (-1.1mg/dL, 95% CI = -2.6 mg/dL to 0.5 mg/dL, <i>P</i> = .19). Results at other time points for SBP, DBP, and LDL outcomes were similar.</p><p><strong>Conclusions: </strong>Absence of transportation barriers was associated with slightly lower hemoglobin A1c and blood pressure, but the small magnitude of the differences suggests that also addressing other factors may be needed to improve diabetes outcomes more meaningfully.</p>","PeriodicalId":46723,"journal":{"name":"Journal of Primary Care and Community Health","volume":"16 ","pages":"21501319251320709"},"PeriodicalIF":3.0000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11840852/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Primary Care and Community Health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/21501319251320709","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PRIMARY HEALTH CARE","Score":null,"Total":0}
引用次数: 0

Abstract

Objective: To estimate associations between transportation barriers and diabetes outcomes.

Methods: Longitudinal cohort study; 86 977 adults with type 2 diabetes mellitus in community-based health centers were assessed for transportation barriers, with up to 36 months of follow-up after initial assessment. We compared scenarios in which individuals did not experience transportation barriers to scenarios in which they did, to estimate differences in mean hemoglobin a1c (HbA1c), systolic and diastolic blood pressure (SBP and DBP), and LDL cholesterol. For analysis, we used targeted minimum loss estimation at the following timepoints after initial transportation barrier assessment: 12 (primary), 6, 18, 24, 30, and 36 months. The study period was June 24, 2016 to April 30, 2023.

Results: We estimated that if participants did not experience transportation barriers, mean HbA1c would have been 0.09% lower (95% CI = -0.14% to -0.04%, P = .0002) at 12 months, compared to a scenario in which they did experience transportation barriers. These results were similar at other time points. We also estimated that absence of transportation barriers was associated with, at 12 months, lower SBP (-0.6mm Hg, 95% CI = -1.0mm Hg to -0.2mm Hg, P = .004) and DBP (-0.3mm Hg, 95% CI = -0.5mm Hg to -0.1mm Hg, P = .02), but not LDL (-1.1mg/dL, 95% CI = -2.6 mg/dL to 0.5 mg/dL, P = .19). Results at other time points for SBP, DBP, and LDL outcomes were similar.

Conclusions: Absence of transportation barriers was associated with slightly lower hemoglobin A1c and blood pressure, but the small magnitude of the differences suggests that also addressing other factors may be needed to improve diabetes outcomes more meaningfully.

交通障碍与糖尿病结局:一项纵向分析。
目的:评估交通障碍与糖尿病预后之间的关系。方法:纵向队列研究;在社区卫生中心对86 977名2型糖尿病成人进行了交通障碍评估,初步评估后进行了长达36个月的随访。我们比较了个体在没有运输障碍的情况下和有运输障碍的情况下的情况,以估计平均血红蛋白a1c (HbA1c)、收缩压和舒张压(SBP和DBP)和LDL胆固醇的差异。为了进行分析,我们在初始运输障碍评估后的以下时间点使用了有针对性的最小损失估计:12个月(主要)、6个月、18个月、24个月、30个月和36个月。研究时间为2016年6月24日至2023年4月30日。结果:我们估计,如果参与者没有经历交通障碍,在12个月时,与经历交通障碍的情况相比,平均HbA1c将降低0.09% (95% CI = -0.14%至-0.04%,P = 0.0002)。这些结果在其他时间点相似。我们还估计,在12个月时,运输障碍的缺失与较低的收缩压(-0.6mm Hg, 95% CI = -1.0mm Hg至-0.2mm Hg, P = 0.004)和舒张压(-0.3mm Hg, 95% CI = -0.5mm Hg至-0.1mm Hg, P = 0.02)有关,但与低密度脂蛋白(-1.1mg/dL, 95% CI = -2.6 mg/dL至0.5 mg/dL, P = 0.19)无关。其他时间点收缩压、舒张压和低密度脂蛋白的结果相似。结论:没有运输障碍与较低的血红蛋白A1c和血压有关,但这种微小的差异表明,还需要解决其他因素才能更有意义地改善糖尿病的预后。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
4.80
自引率
2.80%
发文量
183
审稿时长
15 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信