Department of Public Health Solutions, National Institute for Health and Welfare, Helsinki, Finland.
Department of Mathematics and Statistics, University of Jyvaskyla, Jyvaskyla, Finland.
Eur J Public Health. 2018 Apr 1;28(2):237-243. doi: 10.1093/eurpub/ckx151.
Declining participation rates in health examination surveys may impair the representativeness of surveys and introduce bias into the comparison of results between population groups if participation rates differ between them. Changes in the characteristics of non-participants over time may also limit comparability with earlier surveys.
We studied the association of socio-economic position with participation, and its changes over the past 25 years. Occupational class and educational level are used as indicators of socio-economic position. Data from six cross-sectional FINRISK surveys conducted between 1987 and 2012 in Finland were linked to national administrative registers, which allowed investigation of the differences between survey participants and non-participants.
Our results show that individuals with low occupational class or low level of education were less likely to participate than individuals with high occupational class or high level of education. Participation rates decreased in all subgroups of the population but the decline was fastest among those with low level of education.
The differences in participation rates must be taken into account to avoid biased estimates because socio-economic position has also been shown to be strongly related to health, health behaviour and biological risk factors. Particular attention should be paid to the recruitment of the less-educated population groups.
参与健康检查调查的人数不断减少,可能会影响调查的代表性,如果不同人群的参与率存在差异,还可能会导致对不同人群之间的结果进行比较时出现偏差。随着时间的推移,未参与者的特征发生变化,也会限制与早期调查的可比性。
我们研究了社会经济地位与参与度之间的关联,以及其在过去 25 年中的变化。职业阶层和教育水平被用作社会经济地位的指标。芬兰在 1987 年至 2012 年间进行的六次 FINRISK 横断面调查的数据与国家行政登记册相关联,这使得调查参与者和未参与者之间的差异得以研究。
我们的结果表明,与职业阶层高或教育水平高的个体相比,职业阶层低或教育水平低的个体不太可能参与调查。所有人群亚组的参与率都有所下降,但教育水平低的人群下降速度最快。
为避免产生有偏差的估计,必须考虑到参与率的差异,因为社会经济地位也与健康、健康行为和生物学风险因素密切相关。应特别注意招募教育程度较低的人群。