Shih Yu-Lin, Shih Chin-Chuan, Chen Jau-Yuan
Department of Family Medicine, Chang-Gung Memorial Hospital, Linkou Branch, Taoyuan City, Taiwan (R.O.C.).
General Administrative Department, United Safety Medical Group, New Taipei City, Taiwan (R.O.C.).
PLoS One. 2020 Jul 6;15(7):e0235277. doi: 10.1371/journal.pone.0235277. eCollection 2020.
The aim of this study was to investigate the association between walking speed and cardiovascular disease (CVD) risk among community-dwelling middle-aged and elderly populations in Taiwan.
This was a cross-sectional and community-based study with 400 participants aged 50 years and over recruited from a community health promotion project in 2014 in Guishan district, Taoyuan city. We excluded 91 people, and a total of 309 participants were eligible for analysis. The statistical methods used in this study were one-way ANOVA and the Chi-square test, Pearson's correlation test and logistic regression model.
In total, 309 participants (98 males and 211 females) aged 50 to 74 (62.05 ± 6.21) years without a CVD history were enrolled in this study. The walking speed gradually decreased from the low CVD risk group to the high CVD risk group (p < 0.05). A significant inverse association between walking speed and CVD risk was confirmed with a Pearson's correlation coefficient of-0.143 (p < 0.05) in middle-aged people, but this significant inverse association was not shown in elderly people. The multivariate logistic regression model for predicting CVD risk and walking speed with an adjusted odds ratio (OR) was 0.127 (95% CI = 0.021-0.771) in middle-aged people with adjustment for sex, age, waist circumference (WC), hypertension (HTN), diabetes mellitus (DM), and hyperlipidemia (p < 0.05).
Our study clearly shows that slow walking speed is associated with an increased risk of CVD in middle-aged people rather than in elderly people.
本研究旨在调查台湾社区中老年人群步行速度与心血管疾病（CVD）风险之间的关联。
这是一项基于社区的横断面研究，2014年从桃园市龟山区的一个社区健康促进项目中招募了400名年龄在50岁及以上的参与者。我们排除了91人，共有309名参与者符合分析条件。本研究使用的统计方法为单因素方差分析、卡方检验、Pearson相关检验和逻辑回归模型。
本研究共纳入309名年龄在50至74（62.05±6.21）岁、无CVD病史的参与者（98名男性和211名女性）。步行速度从低CVD风险组到高CVD风险组逐渐降低（p<0.05）。中年人群中，步行速度与CVD风险之间存在显著的负相关，Pearson相关系数为-0.143（p<0.05），但老年人群中未显示出这种显著的负相关。在对性别、年龄、腰围（WC）、高血压（HTN）、糖尿病（DM）和高脂血症进行调整后，中年人群中预测CVD风险和步行速度的多因素逻辑回归模型调整优势比（OR）为0.127（95%CI=0.021-0.771）（p<0.05）。
我们的研究清楚地表明，步行速度慢与中年人群而非老年人群患CVD的风险增加有关。
