Regional changes in the prevalence of Parkinson’s disease over a ten-year period in the state of Texas

IF 1.8 Q3 CLINICAL NEUROLOGY
Sean G. Young , Kathryn Elwell , Christopher R. Watts
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引用次数: 0

Abstract

Introduction

Region specific epidemiological knowledge is needed to better help government and private entities plan and develop interventions to address accelerating diagnoses of Parkinson’s disease (PD). We measured the within-state prevalence patterns of PD within the state of Texas, United States, over a ten-year period to include factors of sex and race/ethnicity, with a specific focus on county and regional patterns.

Methods

Publicly available data from the State of Texas Outpatient Public Use Data File (PUDF) evaluated for the years 2012 and 2022. Individuals with a PD specific diagnosis code were included. Age group, race, ethnicity, sex, and county of residence were used to calculate state and county case counts for the years 2012 and 2022. Spatial cluster analysis was applied to assess concentrations of diagnoses across Texas.

Results

Prevalence rates of PD increased substantially in Texas from 2012 to 2022, especially among those aged 65 and older and Hispanics. Males had a higher prevalence rate in both years, though both sexes doubled their prevalence over the ten-year period. Spatial cluster analysis showed changes in diagnosis concentration, from the central and northeastern regions to the southwestern border region.

Conclusion

Outpatient diagnoses of PD increased substantially from 2012 to 2022. Spatial distribution of PD risk evolved over the decade; such that risk for PD was greatest in the southwestern region of Texas in 2022 compared to all other areas. Prevalence trends in Texas mirror global trends for PD and should inform prevention and intervention strategies in the future.
德克萨斯州十年来帕金森氏症患病率的区域变化
为了更好地帮助政府和私营实体计划和制定干预措施,解决帕金森病(PD)加速诊断的问题,需要了解地区特定的流行病学知识。我们测量了美国德克萨斯州十年来PD的州内流行模式,包括性别和种族/民族因素,并特别关注县和地区模式。方法从德克萨斯州门诊公共使用数据文件(PUDF)中公开获取2012年和2022年的评估数据。具有PD特定诊断代码的个体被包括在内。使用年龄组、种族、民族、性别和居住县来计算2012年和2022年州和县的病例数。应用空间聚类分析来评估整个德克萨斯州的诊断浓度。结果2012年至2022年,德克萨斯州PD患病率大幅上升,尤其是65岁及以上人群和西班牙裔人群。男性在这两年中都有较高的患病率,尽管在10年期间,男性和女性的患病率都翻了一番。空间聚类分析显示,从中部和东北部地区到西南边境地区,诊断集中度发生了变化。结论2012 - 2022年PD门诊诊断率明显上升。近十年来帕金森病风险空间分布的演变;因此,与所有其他地区相比,2022年德克萨斯州西南部地区患PD的风险最高。德克萨斯州的流行趋势反映了PD的全球趋势,应该为未来的预防和干预策略提供信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Clinical Parkinsonism  Related Disorders
Clinical Parkinsonism Related Disorders Medicine-Neurology (clinical)
CiteScore
2.70
自引率
0.00%
发文量
50
审稿时长
98 days
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