Relationships between Lifestyle, Living Environments, and Incidence of Hypertension in Japan (in Men): Based on Participant's Data from the Nationwide Medical Check-Up.
Relationships between Lifestyle, Living Environments, and Incidence of Hypertension in Japan (in Men): Based on Participant's Data from the Nationwide Medical Check-Up.
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DOI：
10.1371/journal.pone.0165313
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发表时间：
2016
期刊：
影响因子：
3.7
通讯作者：
Arita M
中科院分区：
文献类型：
--
作者：
Oka M;Yamamoto M;Mure K;Takeshita T;Arita M
本研究的目的是调查日本不同地区高血压发病率差异的因素，不仅考虑个人的生活方式，还考虑他们的生活环境。本调查的目标参与者是接受过高血压药物治疗的个人，以及未接受任何治疗的高血压患者。分析的目标变量是高血压发病率，作为每个都道府县汇总的数据。我们使用的数据（男性）包括肥胖，盐摄入量，蔬菜摄入量，习惯性饮酒，习惯性吸烟和每天步行的步数。居住环境的变量包括铁路车站的数量，标准/轻型车辆的使用，和可居住土地的坡度。此外，我们还分析了与医疗环境相关的变量数据，包括医疗检查的参与率和医院数量。以高血压发病率为目标变量，进行多元逐步回归分析，以阐明这些变量之间的相关性。高血压患病率与步行、体检次数呈显著负相关，与轻型车使用、坡度呈显著正相关。步数与居住环境相关变量之间，轨道交通站点数呈显著正相关，而标准车和轻型车使用率呈显著负相关。此外，逐步多元回归分析，步行显示出最强的效果。基于生活环境的每日步行差异与日本高血压发病率的差异有关。
This study aims to investigate factors that contribute to the differences in incidence of hypertension between different regions in Japan, by accounting for not only individual lifestyles, but also their living environments. The target participants of this survey were individuals who received medical treatment for hypertension, as well as hypertension patients who have not received any treatment. The objective variable for analysis was the incidence of hypertension as data aggregated per prefecture. We used data (in men) including obesity, salt intake, vegetable intake, habitual alcohol consumption, habitual smoking, and number of steps walked per day. The variables within living environment included number of rail stations, standard/light vehicle usage, and slope of habitable land. In addition, we analyzed data for the variables related to medical environment including, participation rate in medical check-ups and number of hospitals. We performed multiple stepwise regression analyses to elucidate the correlation of these variables by using hypertension incidence as the objective variable. Hypertension incidence showed a significant negative correlation with walking and medical check-ups, and a significant positive correlation with light-vehicle usage and slope. Between the number of steps and variables related to the living environment, number of rail stations showed a significant positive correlation, while, standard- and light-vehicle usage showed significant negative correlation. Moreover, with stepwise multiple regression analysis, walking showed the strongest effect. The differences in daily walking based on living environment were associated with the disparities in the hypertension incidence in Japan.
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影响因子：
120.7
作者：
PATE, RR;PRATT, M;WILMORE, JH
通讯作者：
WILMORE, JH
影响因子：
3.6
作者：
Durand CP;Tang X;Gabriel KP;Sener IN;Oluyomi AO;Knell G;Porter AK;Oelscher DM;Kohl HW 3rd
通讯作者：
Kohl HW 3rd
影响因子：
3.6
作者：
Christiansen, Lars B.;Madsen, Thomas;Troelsen, Jens
通讯作者：
Troelsen, Jens
影响因子：
5
作者：
Boeing H;Bechthold A;Bub A;Ellinger S;Haller D;Kroke A;Leschik-Bonnet E;Müller MJ;Oberritter H;Schulze M;Stehle P;Watzl B
通讯作者：
Watzl B
影响因子：
12.3
作者：
Ohta, Yuko;Kawano, Yuhei;Nakamura, Satoko
通讯作者：
Nakamura, Satoko