在英国区域心脏研究中,筛查20年后未参加复查。

M C Thomas, M Walker, L T Lennon, A G Thomson, F C Lampe, A G Shaper, P H Whincup
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引用次数: 53

摘要

背景:在纵向研究中保持高参与率对其有效性至关重要,因为不参与可能存在偏倚,这在不同的研究中可能有所不同。在一项初始参与率为78%的心血管队列研究中,通过比较20年随访检查中非参与者和参与者的特征,本文研究了随时间推移与参与状态相关的因素。方法:在1978年至1980年间进行了基线检查,并通过常规检查全科医生记录、邮寄问卷和1998年至2000年幸存者的临床复查对受试者进行了随访。通过1996年问卷调查(Q96)和基线检查获得的数据被用于比较这些最近未参加的参与者和留在队列中进行进一步随访的参与者的特征。结果:幸存者复查时未出勤率为23% (n = 1313)。不出勤率在苏格兰最高,在英格兰南部最低。非参与者年龄大于参与者,吸烟的可能性更大,在Q96中报告了更多的致残状况和更多的多种药物使用,但回忆起诊断为冠心病的比例相似。社会因素有显著差异。复查一年内的总死亡率,非参加者比参加者高出三倍以上。结论:不出勤与健康状况、危险因素状况和社会环境有关,并可能影响一些疾病患病率的估计,但似乎对冠心病患病率的估计没有主要影响。在纵向研究中收集的关于非参与者的信息有助于估计、调整和最小化这些影响。
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Non-attendance at re-examination 20 years after screening in the British Regional Heart Study.

Background: Maintenance of high participation rates in longitudinal studies is critical to their validity because of the possibility of bias associated with non-participation, which may differ between studies. This paper examines factors associated with participation status over time, by comparing the characteristics of non-attenders and attenders at a 20 year follow-up examination in a cardiovascular cohort study with an initial participation rate of 78 percent.

Methods: A baseline examination was carried out between 1978 and 1980 and subjects have been followed up through regular reviews of general practice records, postal questionnaires, and a clinical re-examination of survivors in 1998-2000. Data obtained by questionnaire in 1996 (Q96) and at baseline examination have been used to compare the characteristics of these recent non-attenders and attenders who remain in the cohort for further follow-up.

Results: The non-attendance rate of available survivors at re-examination was 23 per cent (n = 1313). Rates of non-attendance were highest in Scotland and lowest in Southern England. Non-attenders were older than attenders, more likely to smoke, and reported more disabling conditions and greater use of multiple medications at Q96, but recalled similar rates of diagnosed coronary heart disease. Marked differences in social factors were identified. Total mortality rates within 1 year of re-examination were over three times higher amongst non-attenders than attenders.

Conclusions: Non-attendance is related to health status, risk factor status and social circumstances and may affect some estimates of disease prevalence, but does not appearto have a major impact on the estimated prevalence of coronary heart disease. Information collected on non-attenders in longitudinal studies helps to estimate, adjust and minimize these effects.

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