Banks Emily, Herbert Nicol, Mather Tanya, Rogers Kris, Jorm Louisa
National Centre for Epidemiology and Population Health, Australian National University, Canberra, Australia.
BMC Res Notes. 2012 Nov 27;5:655. doi: 10.1186/1756-0500-5-655.
Large-scale population biobanks are critical for future research integrating epidemiology, genetic, biomarker and other factors. Little is known about the factors influencing participation in biobanks. This study compares the characteristics of biobank participants with those of non-participants, among members of an existing cohort study.
Individuals aged 45 and over participating in The 45 and Up Study and living ≤20km from central Wagga Wagga, New South Wales (NSW), Australia (rural/regional area) or ≤10km from central Parramatta, NSW (urban area) (n=2340) were invited to join a biobank, giving a blood sample and having additional measures taken, including height, weight, waist circumference, heart rate and blood pressure.
The overall uptake of the invitation to participate was 33% (762/2340). The response rate was 41% (410/1002) among participants resident in the regional area, and 26% (352/1338) among those resident in the urban area. Characteristics associated with significantly decreased participation were being aged 80 and over versus being aged 45-64 (participation rate ratio: RR = 0.45, 95%CI 0.34-0.60), not being born in Australia versus being born in Australia (0.69, 0.59-0.81), having versus not having a major disability (0.54, 0.38-0.76), having full-time caregiving responsibilities versus not being a full-time carer (0.62, 0.42-0.93) and being a current smoker versus never having smoked (0.66, 0.50-0.89). Factors associated with increased participation were being in part-time work versus not being in paid work (1.24, 1.07-1.44) and having an annual household income of ≥$50,000 versus <$20,000 (1.50, 1.26-1.80).
A range of socio-economic, health and lifestyle factors are associated with biobank participation among members of an existing cohort study, with factors relating to health-seeking behaviours and access difficulties or time limitations being particularly important. If more widespread participation in biobanking is desired, particularly to ensure sufficient numbers among those most affected by these issues, specific efforts may be required to increase participation in certain groups such as migrants, the elderly, and those in poor health. Whilst caution should be exercised when generalising estimates of absolute prevalence from biobanks, estimates for many internal comparisons are likely to remain valid.
大规模人群生物样本库对于整合流行病学、遗传学、生物标志物及其他因素的未来研究至关重要。关于影响参与生物样本库的因素，我们知之甚少。本研究比较了现有队列研究成员中生物样本库参与者与非参与者的特征。
邀请年龄在45岁及以上、参与“45岁及以上研究”且居住在澳大利亚新南威尔士州（NSW）瓦加瓦加市中心20公里以内（农村/地区）或帕拉马塔市中心10公里以内（城市）的个体（n = 2340）加入生物样本库，提供血样并进行其他测量，包括身高、体重、腰围、心率和血压。
参与邀请的总体接受率为33%（762/2340）。居住在地区的参与者的回应率为41%（410/1002），居住在城市的参与者的回应率为26%（352/1338）。与参与率显著降低相关的特征包括年龄在80岁及以上与45 - 64岁（参与率比：RR = 0.45，95%CI 0.34 - 0.60）、非澳大利亚出生与澳大利亚出生（0.69，0.59 - 0.81）、有与没有重大残疾（0.54，0.38 - 0.76）、有全职照顾责任与不是全职照顾者（0.62，0.42 - 0.93）以及当前吸烟者与从不吸烟者（0.66，0.50 - 0.89）。与参与率增加相关的因素包括从事兼职工作与没有带薪工作（1.24，1.07 - 1.44）以及家庭年收入≥50,000美元与＜20,000美元（1.50，1.26 - 1.80）。
一系列社会经济、健康和生活方式因素与现有队列研究成员参与生物样本库有关，与寻求健康行为以及获取困难或时间限制相关的因素尤为重要。如果希望更广泛地参与生物样本库建设，特别是要确保受这些问题影响最大的人群中有足够数量的参与者，可能需要做出具体努力来提高某些群体（如移民、老年人和健康状况不佳者）的参与率。虽然在从生物样本库推断绝对患病率估计值时应谨慎，但许多内部比较的估计值可能仍然有效。
