Weymar Franziska, Braatz Janina, Guertler Diana, van den Berg Neeltje, Meyer Christian, John Ulrich, Felix Stephan B, Dörr Marcus, Ulbricht Sabina
University Medicine Greifswald, Institute of Social Medicine and Prevention, Greifswald, Germany; DZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, Germany; University Medicine Greifswald, Institute for Community Medicine, Section Epidemiology of Health Care and Community Health, Greifswald, Germany.
University Medicine Greifswald, Institute of Social Medicine and Prevention, Greifswald, Germany; DZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, Germany.
Prev Med Rep. 2015 May 13;2:413-8. doi: 10.1016/j.pmedr.2015.05.003. eCollection 2015.
To assess levels of physical activity the use of objective physical activity measures like accelerometers is promising. We investigated characteristics associated with non-participation in accelerometry within an apparently healthy sample.
Among German participants of a cardiovascular examination program (CEP; 2012-2013), 470 participants aged 40-75 years were invited to wear an accelerometer for 7 days. We used multivariate logistic regression to estimate the association between non-participation and the following characteristics of participants: sex, age, education, smoking, setting of recruitment for the CEP (general medical practices, job agencies, statutory health insurance), self-reported general health, and objective health criteria such as cardiorespiratory fitness and absolute number of cardiometabolic risk factors (elevated waist circumference, blood pressure, triglycerides, blood glucose, and reduced high-density lipoprotein). Subsequently, we stratified this analysis by sex.
Among all invited individuals, N = 235 (60.0% women) gave consent to participate in accelerometry. Women were more likely to decline participation (odds ratio, 1.7; 95% confidence interval, 1.1-2.7) compared to men. Stratified analyses revealed the absolute number of risk factors as predictor of non-participation for men (1.4; 1.01-2.0), while there was no predictor found in women.
We found a self-selection bias in participation in accelerometry. Women declined study participation more likely than men. The number of cardiometabolic risk factors decreased compliance only in men. Future studies should consider strategies to reduce this bias.
使用加速度计等客观身体活动测量方法来评估身体活动水平很有前景。我们在一个看似健康的样本中调查了与不参与加速度测量相关的特征。
在一项心血管检查项目(CEP;2012 - 2013年)的德国参与者中,邀请了470名年龄在40 - 75岁的参与者佩戴加速度计7天。我们使用多因素逻辑回归来估计不参与与参与者以下特征之间的关联:性别、年龄、教育程度、吸烟情况、CEP的招募地点(普通医疗诊所、职业介绍所、法定健康保险机构)、自我报告的总体健康状况以及客观健康标准,如心肺适能和心血管代谢风险因素的绝对数量(腰围增加、血压升高、甘油三酯升高、血糖升高以及高密度脂蛋白降低)。随后,我们按性别对该分析进行分层。
在所有被邀请的个体中,N = 235人(60.0%为女性)同意参与加速度测量。与男性相比,女性更有可能拒绝参与(优势比,1.7;95%置信区间,1.1 - 2.7)。分层分析显示,风险因素的绝对数量是男性不参与的预测因素(1.4;1.01 - 2.0),而在女性中未发现预测因素。
我们发现了加速度测量参与中的自我选择偏差。女性比男性更有可能拒绝参与研究。心血管代谢风险因素的数量仅在男性中降低了依从性。未来的研究应考虑减少这种偏差的策略。