Factors associated with participation over time in the Avon Longitudinal Study of Parents and Children: a study using linked education and primary care data
Factors associated with participation over time in the Avon Longitudinal Study of Parents and Children: a study using linked education and primary care data
复制标题
与长期参与雅芳家长和儿童纵向研究相关的因素：一项使用相关教育和初级保健数据的研究
DOI：
10.1101/2020.03.10.20033621
复制
发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Cornish R
中科院分区：
文献类型：
--
作者：
Cornish R
背景在观察性研究中，当变量不完整时，选择最佳分析策略需要了解与持续参与和无应答相关的因素，但这无法用不完整的数据进行充分检验。链接到外部数据集提供了额外的信息，那些不完整的数据，允许检查相关的因素missingness.MethodsWe研究基线社会人口因素和正在进行的参与雅芳纵向研究的父母和孩子之间的关联。在考虑基线因素后，我们调查了在相关教育和初级保健数据中测量的儿童和青少年结果是否与参与有关。为了证明偏见的可能性，我们研究了母亲吸烟和这些结果之间的关联是否在完成19年问卷调查的子样本中有所不同。结果较低的学校教育水平，较低的全科医生（GP）咨询和处方率，较高的体重指数（BMI），特殊教育需求（SEN）状态，没有哮喘诊断，在调整基线因素后，抑郁症和吸烟者与较低的参与率相关。例如，将曾经吸烟者（18岁）与非吸烟者进行比较的参与调整比值比（OR）为：0.65，95% CI（0.56，0.75）。与母亲吸烟的关联在19岁的参与者子样本和整个样本之间存在差异，尽管差异很小，置信区间重叠。举例来说：SEN状态，OR = 1.19（1.06，1.33）（所有参与者）; OR = 1.03（0.79，1.45）（子样本）。研究人员在计划分析时需要意识到这一点。队列研究可以使用与常规数据的联系来探索持续参与的预测因素，并进行敏感性分析以评估潜在的偏倚。
BackgroundIn observational research, choosing an optimal analysis strategy when variables are incomplete requires an understanding of the factors associated with ongoing participation and non-response, but this cannot be fully examined with incomplete data. Linkage to external datasets provides additional information on those with incomplete data, allowing examination of factors related to missingness.MethodsWe examined the association between baseline sociodemographic factors and ongoing participation in the Avon Longitudinal Study of Parents and Children. We investigated whether child and adolescent outcomes measured in linked education and primary care data were associated with participation, after accounting for baseline factors. To demonstrate the potential for bias, we examined whether the association between maternal smoking and these outcomes differed in the subsample who completed the 19-year questionnaire.ResultsLower levels of school attainment, lower general practitioner (GP) consultation and prescription rates, higher body mass index (BMI), special educational needs (SEN) status, not having an asthma diagnosis, depression and being a smoker were associated with lower participation after adjustment for baseline factors. For example, the adjusted odds ratio (OR) for participation comparing ever smokers (by 18 years) with non-smokers was: 0.65, 95% CI (0.56, 0.75). The associations with maternal smoking differed between the subsample of participants at 19 years and the entire sample, although differences were small and confidence intervals overlapped. For example: for SEN status, OR = 1.19 (1.06, 1.33) (all participants); OR = 1.03 (0.79, 1.45) (subsample).ConclusionsA range of health-related and educational factors are associated with ongoing participation in ALSPAC; this is likely to be the case in other cohort studies. Researchers need to be aware of this when planning their analysis. Cohort studies can use linkage to routine data to explore predictors of ongoing participation and conduct sensitivity analyses to assess potential bias.
登录
查看更多内容
影响因子：
2.9
作者：
Cornish RP;Henderson J;Boyd AW;Granell R;Van Staa T;Macleod J
通讯作者：
Macleod J
DOI：
10.1136/bmj.316.7125.140
发表时间：
1998-01
期刊：
BMJ
影响因子：
--
作者：
M. Egger;Martin Schneider;G. Smith
通讯作者：
M. Egger;Martin Schneider;G. Smith
178 不同矽肺风险工人放射监测最佳间隔预测——中国经验
影响因子：
4.9
作者：
Tse;Chen;Zhang;Yu;Wong;Leung;Kromhout;Meijer;Chen
通讯作者：
Chen
影响因子：
7.7
作者：
Taylor AE;Jones HJ;Sallis H;Euesden J;Stergiakouli E;Davies NM;Zammit S;Lawlor DA;Munafò MR;Davey Smith G;Tilling K
通讯作者：
Tilling K
影响因子：
2.9
作者：
Mukherjee M;Gupta R;Farr A;Heaven M;Stoddart A;Nwaru BI;Fitzsimmons D;Chamberlain G;Bandyopadhyay A;Fischbacher C;Dibben C;Shields M;Phillips C;Strachan D;Davies G;McKinstry B;Sheikh A;Burden and True Cost of Asthma in the UK Research Team
通讯作者：
Burden and True Cost of Asthma in the UK Research Team