Department of Public Health and Primary Care, Cambridge Institute of Public Health, Cambridge, UK.
Institute of Public Health, Forvie Site, University of Cambridge School of Clinical Medicine, Box 113 Cambridge Biomedical Campus, Cambridge, CB2 0SR, UK.
BMC Public Health. 2018 Jun 19;18(1):760. doi: 10.1186/s12889-018-5663-7.
With declining rates of participation in epidemiological studies there is an important need to attempt to understand what factors might affect response. This study examines the pattern of response at different adult ages within a contemporary cross-sectional population-based cohort, the Cambridge Centre for Ageing and Neuroscience (Cam-CAN).
Using logistic regression, we investigated associations between age, gender and Townsend deprivation level for both participants and non-participants. Weighted estimates of the odds ratios with confidence intervals for each demographic characteristic were calculated. Reasons given for refusal were grouped into three broad categories: 'active', 'passive' and illness preventing interview.
An association of age and participation was found, with individuals in middle age groups more likely to participate (age group 48-57 OR: 1.8, 95% CI: 1.5-2.2 and age group 58-67 OR: 2.1, 95% CI: 1.7-2.4). Overall, there was no difference in participation between men and women. An association with deprivation was found, with those living in the most deprived areas being the least willing to participate (fifth quintile OR: 0.6, 95% CI: 0.5-0.7). An interaction between age and gender was found whereby younger women and older men were more likely to agree to participate (p = 0.01).
Our findings highlight some of the factors affecting recruitment into epidemiological studies in the UK and suggest that targeted age-specific recruitment strategies might be needed to increase participation rates in future cohort investigations.
随着参与流行病学研究的人数不断减少,人们迫切需要了解哪些因素可能会影响响应率。本研究通过对当代基于人群的横断面队列研究——剑桥老龄化与神经科学中心(Cam-CAN)中的不同成年年龄组的响应模式进行分析,探讨了这个问题。
我们使用逻辑回归分析,调查了年龄、性别和汤森贫困程度对参与者和非参与者的影响。针对每个人口统计学特征,计算了加权比值比的置信区间估计值。我们将拒绝参与的原因分为三大类:“主动拒绝”、“被动拒绝”和因疾病而无法接受访谈。
我们发现年龄和参与之间存在关联,中年组的人更有可能参与研究(年龄组 48-57:1.8,95%置信区间:1.5-2.2;年龄组 58-67:2.1,95%置信区间:1.7-2.4)。总体而言,男性和女性之间的参与率没有差异。我们还发现与贫困程度之间存在关联,生活在最贫困地区的人最不愿意参与(第五五分位数:0.6,95%置信区间:0.5-0.7)。年龄和性别之间存在交互作用,即年轻女性和老年男性更有可能同意参与(p=0.01)。
我们的研究结果强调了影响英国流行病学研究招募的一些因素,并表明未来的队列研究可能需要有针对性的特定年龄组的招募策略来提高参与率。