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Association of Heart Disease Mortality Rates with Concentrations of Chiropractors and Medical Doctors in the U.S., 2007

机译:2007年美国心脏病死亡率与脊医和医生浓度的关联

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Introduction: It is presumed that as concentration of health care practitioners increases, health outcomes such as heart disease mortality rates (HDMR) decrease. This ecological study compares HDMRs with concentrations of: a) doctors of chiropractic (“DC ratios”) and medical doctors (“MD ratios”).Methods: The ratios were calculated by dividing total population in each state by total numbers of DCs and MDs in each state. The ratios were then compared to heart disease mortality rates using Pearson correlation and multiple linear regression.Results: DC ratios showed stronger associations with decreased HDMR compared to MD ratios. Discussion: Reasons for the stronger DC ratio associations are unclear. Two possible explanations are: a) dietary services that many DCs provide may not be provided generally by MDs, and b) spinal manipulation (also known as “adjustment”) may have, by way of neurological pathways, visceral benefits. Limitations to the study are its ecological design, where populations rather than individuals are studied. The study is intended only as a first step for further research.Conclusion: DC ratios showed stronger associations with decreased HDMR compared to MD ratios in this study. Further research with other designs, such as the case-control design is indicated. Since this is an observational study, causal inference is not claimed. Introduction Obviously many factors affect health, such as socioeconomic factors and genetics. It would seem that the supply of health care practitioners would also affect health. There is some evidence showing that primary care medical doctor supply is related to improved health outcomes 1-2 but the relationship is not as strong compared to socioeconomic factors. 1Other evidence suggests that there is no association between physician supply and mortality rates. 3Such findings appear to be based on ecological designs, where populations rather known individuals are studied. There are few, if any studies comparing: a) DCs and mortality rates to b) MDs and mortality rates. A previous study correlated DC and MD supplies with various health outcomes. 4In that study, the year for the doctor data (2004) was different than the years the outcomes were based on (from 1999-2003). The present study compares DC and MD ratio data for 2005 and heart disease mortality rates (HDMR) for 2007. This outcome was selected because a) it was the top single cause of death for that year 5 and b) there is plausibility in subtle problems of the spine and heart problems. 6-10The purpose of the study is not to determine what the causes or cures are for heart disease, as the main factors for heart disease are already known. The purpose of the study is instead simply to compare the strength of association of DC ratios and HDMR with MD ratios and HDMR. An assumption of the study is that increased concentration of a profession (DC or MD) is directly related to increased services from the profession while an expectation is that their increased concentration results in decreased HDMR.. Methods Age-adjusted HDMR death rates per 100,000 population from 2007 for all 50 states and the District of Columbia (“states”) were obtained. 5 DC 11 and MD 12 data were obtained for 2005 by dividing their respective total state population numbers by state in 2005 (in thousands) 13 by their total practitioner numbers by state. These values are referred to as “DC ratios” and “MD ratios.” As an example regarding how a ratio was calculated, Alabama’s population in thousands was 4,558 (4,558,000) and its DC number was 776. Thus, the DC ratio for Alabama is 4,558,000 / 776 or 5873.7/1 (or simply 5873.7). This means there was one DC to every 5874 persons in the state. The MD number for Alabama was 10,809, making its MD ratio 421.7. Consequently, smaller ratio numbers (e.g., 421.7 versus 5873.7) reflect greater concentration of practitioners. Data analysis consisted of Pearson correlation and linear regression in Stata IC 12.1 (StataCorp, Coll
机译:简介:据推测,随着卫生保健从业人员的集中度增加,诸如心脏病死亡率(HDMR)之类的健康结果会降低。这项生态研究比较了HDMR的浓度:a)捏脊医生(“ DC比率”)和医学医生(“ MD比率”)。方法:比率通过将各州的总人口除以DC和MD的总数来计算在每个州。然后使用Pearson相关性和多元线性回归将比率与心脏病死亡率进行比较。结果:与MD比率相比,DC比率显示出与HDMR降低的相关性更强。讨论:直流比率关联增强的原因尚不清楚。两种可能的解释是:a)MD可能通常无法提供许多DC所提供的饮食服务,并且b)脊柱操纵(也称为“调整”)可能通过神经学途径具有内脏益处。研究的局限性在于其生态设计,即研究人口而不是个人。结论:DC比率与本研究中MD比率相比,与HDMR下降显示出更强的关联性。指出了对其他设计的进一步研究,例如案例控制设计。由于这是一项观察性研究,因此不主张因果推理。引言显然,许多因素都会影响健康,例如社会经济因素和遗传因素。看来卫生保健从业人员的供应也会影响健康。有证据表明,初级保健医生的供应与改善健康状况1-2有关,但与社会经济因素相比,这种关系并不那么牢固。 1其他证据表明,医师人数与死亡率之间没有关联。 3这些发现似乎是基于生态设计的,在该设计中研究了人口众多的知名个体。很少有研究进行比较:a)DCs和死亡率与b)MDs和死亡率。先前的研究将DC和MD供应与各种健康结果相关联。 4在该研究中,医生数据的年份(2004年)与结果所依据的年份(1999年至2003年)不同。本研究比较了2005年的DC和MD比率数据以及2007年的心脏病死亡率(HDMR)。之所以选择此结局,是因为a)它是该年5年内最主要的死亡原因,并且b)在细微问题中存在合理性脊柱和心脏问题。 6-10研究的目的不是确定心脏病的病因或治愈方法,因为已知心脏病的主要因素。相反,研究的目的是简单地比较DC比和HDMR与MD比和HDMR的关联强度。该研究的假设是,专业(DC或MD)的集中度增加与该专业服务的增加直接相关,而人们的期望是,他们的集中度增加导致HDMR降低。从2007年开始,获得了所有50个州和哥伦比亚特区(以下简称“州”)的信息。 5 2005年的DC 11和MD 12数据是通过将2005年各州的州总人口数(以千为单位)13除以州的从业人员总数而获得的。这些值称为“ DC比率”和“ MD比率”。以如何计算比率为例,阿拉巴马州的千人人口为4,558(4,558,000),DC值为776。因此,阿拉巴马州的DC比率为4,558,000 / 776或5873.7 / 1(或简称为5873.7)。这意味着该州每5874人有一个DC。阿拉巴马州的MD值为10809,MD比率为421.7。因此,较小的比例数字(例如421.7对5873.7)反映了从业人员更加集中。数据分析包括Stata IC 12.1中的Pearson相关性和线性回归(StataCorp,Coll

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