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首页> 外文期刊>PLoS Medicine >Effect of pedometer-based walking interventions on long-term health outcomes: Prospective 4-year follow-up of two randomised controlled trials using routine primary care data
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Effect of pedometer-based walking interventions on long-term health outcomes: Prospective 4-year follow-up of two randomised controlled trials using routine primary care data

机译:基于计步器的步行干预对长期健康结局的影响:使用常规基层医疗数据进行的两项随机对照试验的前瞻性四年随访

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Background Data are lacking from physical activity (PA) trials with long-term follow-up of both objectively measured PA levels and robust health outcomes. Two primary care 12-week pedometer-based walking interventions in adults and older adults (PACE-UP and PACE-Lift) found sustained objectively measured PA increases at 3 and 4 years, respectively. We aimed to evaluate trial intervention effects on long-term health outcomes relevant to walking interventions, using routine primary care data. Methods and findings Randomisation was from October 2012 to November 2013 for PACE-UP participants from seven general (family) practices and October 2011 to October 2012 for PACE-Lift participants from three practices. We downloaded primary care data, masked to intervention or control status, for 1,001 PACE-UP participants aged 45–75 years, 36% (361) male, and 296 PACE-Lift participants, aged 60–75 years, 46% (138) male, who gave written informed consent, for 4-year periods following randomisation. The following new events were counted for all participants, including those with preexisting diseases (apart from diabetes, for which existing cases were excluded): nonfatal cardiovascular, total cardiovascular (including fatal), incident diabetes, depression, fractures, and falls. Intervention effects on time to first event post-randomisation were modelled using Cox regression for all outcomes, except for falls, which used negative binomial regression to allow for multiple events, adjusting for age, sex, and study. Absolute risk reductions (ARRs) and numbers needed to treat (NNTs) were estimated. Data were downloaded for 1,297 (98%) of 1,321 trial participants. Event rates were low (20 per group) for outcomes, apart from fractures and falls. Cox hazard ratios for time to first event post-randomisation for interventions versus controls were nonfatal cardiovascular 0.24 (95% confidence interval [CI] 0.07–0.77, p = 0.02), total cardiovascular 0.34 (95% CI 0.12–0.91, p = 0.03), diabetes 0.75 (95% CI 0.42–1.36, p = 0.34), depression 0.98 (95% CI 0.46–2.07, p = 0.96), and fractures 0.56 (95% CI 0.35–0.90, p = 0.02). Negative binomial incident rate ratio for falls was 1.07 (95% CI 0.78–1.46, p = 0.67). ARR and NNT for cardiovascular events were nonfatal 1.7% (95% CI 0.5%–2.1%), NNT = 59 (95% CI 48–194); total 1.6% (95% CI 0.2%–2.2%), NNT = 61 (95% CI 46–472); and for fractures 3.6% (95% CI 0.8%–5.4%), NNT = 28 (95% CI 19–125). Main limitations were that event rates were low and only events recorded in primary care records were counted; however, any underrecording would not have differed by intervention status and so should not have led to bias. Conclusions Routine primary care data used to assess long-term trial outcomes demonstrated significantly fewer new cardiovascular events and fractures in intervention participants at 4 years. No statistically significant differences between intervention and control groups were demonstrated for other events. Short-term primary care pedometer-based walking interventions can produce long-term health benefits and should be more widely used to help address the public health inactivity challenge. Trial registrations PACE-UP isrctn.com ISRCTN98538934 ; PACE-Lift isrctn.com ISRCTN42122561 .
机译:长期跟踪随访客观测量的PA水平和可靠的健康结果的体育锻炼(PA)试验缺乏背景数据。两项针对成年人和老年人的基于12周计步器的初级保健(PACE-UP和PACE-Lift)分别在3年和4年时发现了持续客观测量的PA升高。我们旨在使用常规的初级保健数据评估试验干预对与步行干预有关的长期健康结果的影响。方法和调查结果自7种常规(家庭)实践的PACE-UP参与者于2012年10月至2013年11月,对三种实践的PACE-Lift参与者从2011年10月至2012年10月。我们针对1,001名年龄在45-75岁之间的PACE-UP参与者,36%(361)男性和296位年龄在60-75岁之间的PACE-Lift参与者,下载了覆盖干预或控制状态的基础护理数据,其中6%(138)随机分配后的4年内,给予书面知情同意的男性。计算了所有参与者的以下新事件,包括先前患有疾病的患者(除糖尿病外,已排除现有病例):非致命性心血管疾病,全部心血管疾病(包括致命性),糖尿病,抑郁症,骨折和跌倒。对于所有结果,使用Cox回归对干预对首次事件发生时间的干预效果进行建模,但跌倒除外,跌倒使用负二项式回归来考虑多个事件,并根据年龄,性别和研究进行调整。估计绝对风险降低(ARR)和治疗所需数量(NNT)。在1,321名试验参与者中下载了1,297(98%)个数据。除骨折和跌倒外,事件的发生率很低(每组<20个)。与对照组相比,随机化后首次事件发生时间的Cox危险比为非致命性心血管疾病0.24(95%置信区间[CI] 0.07–0.77,p = 0.02),总心血管疾病0.34(95%CI 0.12–0.91,p = 0.03) ),糖尿病0.75(95%CI 0.42–1.36,p = 0.34),抑郁0.98(95%CI 0.46–2.07,p = 0.96)和骨折0.56(95%CI 0.35-0.90,p = 0.02)。跌倒的二项式负发生率比率是1.07(95%CI 0.78-1.46,p = 0.67)。心血管事件的ARR和NNT为非致命的1.7%(95%CI 0.5%–2.1%),NNT = 59(95%CI 48-194);总计1.6%(95%CI 0.2%–2.2%),NNT = 61(95%CI 46-472);对于骨折3.6%(95%CI 0.8%–5.4%),NNT = 28(95%CI 19-125)。主要局限性是事件发生率低,仅对基层医疗记录中记录的事件进行计数;但是,任何录音不足都会因干预状态而有所不同,因此不应导致偏见。结论用于评估长期试验结果的常规初级保健数据表明,干预患者在4年时出现的新心血管事件和骨折明显减少。对于其他事件,干预组和对照组之间没有统计学上的显着差异。基于短期初级保健计步器的步行干预可以产生长期的健康益处,应更广泛地用于应对公共卫生缺乏活动的挑战。试用注册PACE-UP isrctn.com ISRCTN98538934; PACE-Lift isrctn.com ISRCTN42122561。

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