背景:基于人群的研究中参与者和非参与者的社会人口统计学特征的差异可能会引入偏倚并降低研究结果的普遍性。本研究旨在比较Tromsø研究第七次调查(Tromsø7,2015-16)的参与者和非参与者的社会人口统计学特征,基于人群的健康调查。
方法:共有32,591人被邀请参加Tromsø7。我们通过将Tromsø7邀请文件链接到挪威统计局,比较了参与者和非参与者的社会人口统计学特征,并使用逻辑回归分析这些特征与参与之间的关系。此外,我们创建了一个地理社会经济地位(区域SES)指数(低SES,medium-SES,和高SES区域)基于个人教育水平,个人收入,家庭总收入,和住宅所有权状况。然后,我们绘制了区域SES和参与Tromsø7之间的关系。
结果:男人,40-49岁和80-89岁的人,那些未婚的人,寡妇,分居/离婚,出生在挪威以外,受教育程度较低,收入较低,是住宅租户,并且生活在低SES地区,参与Tromsø7的可能性较低。
结论:必须考虑参与的社会人口统计学差异,以避免在基于人群的研究中进行有偏差的估计,尤其是在探索SES与健康之间的关系时。应特别注意招募SES较低的群体进行基于人群的研究。
Differences in the sociodemographic characteristics of participants and non-participants in population-based studies may introduce bias and reduce the generalizability of research findings. This
study aimed to compare the sociodemographic characteristics of participants and non-participants of the seventh survey of the Tromsø
Study (Tromsø7, 2015-16), a population-based health survey.
A total of 32,591 individuals were invited to Tromsø7. We compared the sociodemographic characteristics of participants and non-participants by linking the Tromsø7 invitation file to Statistics Norway, and explored the association between these characteristics and participation using logistic regression. Furthermore, we created a geographical socioeconomic status (area SES) index (low-SES, medium-SES, and high-SES area) based on individual educational level, individual income, total household income, and residential ownership status. We then mapped the relationship between area SES and participation in Tromsø7.
Men, people aged 40-49 and 80-89 years, those who were unmarried, widowed, separated/divorced, born outside of Norway, had lower education, had lower income, were residential renters, and lived in a low-SES area had a lower probability of participation in Tromsø7.
Sociodemographic differences in participation must be considered to avoid biased estimates in research based on population-based studies, especially when the relationship between SES and health is being explored. Particular attention should be paid to the recruitment of groups with lower SES to population-based studies.