Suppr超能文献

自述健康状况和农药暴露对前瞻性队列研究中随访概率的影响。

Effects of self-reported health conditions and pesticide exposures on probability of follow-up in a prospective cohort study.

机构信息

Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina 27709, USA.

出版信息

Am J Ind Med. 2010 May;53(5):486-96. doi: 10.1002/ajim.20789.

Abstract

BACKGROUND

We investigated the potential for selection bias due to non-participation in the follow-up of a large prospective cohort study.

METHODS

Licensed pesticide applicators (52,395 private; 4,916 commercial) in the Agricultural Health Study provided demographic, health, and pesticide exposure information at enrollment (1993-1997) and in a 5-year follow-up telephone interview. Factors associated with non-participation in the follow-up were identified using multiple logistic regression. Potential for selection bias was evaluated by comparing exposure-disease associations between the entire cohort and the follow-up subset.

RESULTS

Sixty-six percent of private and 60% of commercial applicators completed the follow-up interview. Private and commercial applicators who did not complete the follow-up reported at enrollment younger age, less education, lower body mass index, poorer health behaviors but fewer health conditions, and lower pesticide use. Estimates of exposure-disease associations calculated with and without non-participants did not indicate strong selection bias.

CONCLUSIONS

Differences between non-participants and participants in the follow-up interview were generally small, and we did not find significant evidence of selection bias. However, the extent of bias may depend on the specific exposure and outcome under study.

摘要

背景

我们研究了由于未参与大型前瞻性队列研究的随访而导致选择偏差的可能性。

方法

农业健康研究中的持牌农药施用者(52395 名私人;4916 名商业)在入组(1993-1997 年)和 5 年随访电话访谈中提供了人口统计学、健康和农药暴露信息。使用多因素逻辑回归确定与随访不参与相关的因素。通过比较整个队列和随访子集中的暴露-疾病关联来评估选择偏差的可能性。

结果

66%的私人和 60%的商业施用者完成了随访访谈。未完成随访的私人和商业施用者在入组时报告年龄较小、教育程度较低、体重指数较低、健康行为较差但健康状况较少,以及农药使用较少。使用和不使用非参与者计算的暴露-疾病关联估计值并未表明存在明显的选择偏差。

结论

随访访谈中未参与者和参与者之间的差异通常较小,我们没有发现选择偏差的显著证据。但是,偏差的程度可能取决于具体的暴露和研究的结果。

相似文献

2
Pesticide exposure and depression among male private pesticide applicators in the agricultural health study.
Environ Health Perspect. 2014 Sep;122(9):984-91. doi: 10.1289/ehp.1307450. Epub 2014 Jun 6.
3
High pesticide exposure events among farmers and spouses enrolled in the Agricultural Health Study.
J Agric Saf Health. 2006 May;12(2):101-16. doi: 10.13031/2013.20385.
4
Characteristics of pesticide use in a pesticide applicator cohort: the Agricultural Health Study.
Environ Res. 1999 Feb;80(2 Pt 1):172-9. doi: 10.1006/enrs.1998.3888.
5
Suicide and pesticide use among pesticide applicators and their spouses in the agricultural health study.
Environ Health Perspect. 2011 Nov;119(11):1610-5. doi: 10.1289/ehp.1103413. Epub 2011 Jul 13.
7
Pesticide exposure and end-stage renal disease risk among wives of pesticide applicators in the Agricultural Health Study.
Environ Res. 2015 Nov;143(Pt A):198-210. doi: 10.1016/j.envres.2015.10.002. Epub 2015 Oct 24.
8
Pesticide exposure and self-reported incident depression among wives in the Agricultural Health Study.
Environ Res. 2013 Oct;126:31-42. doi: 10.1016/j.envres.2013.06.001. Epub 2013 Aug 2.
10
Pesticide use and risk of systemic autoimmune diseases in the Agricultural Health Study.
Environ Res. 2022 Jun;209:112862. doi: 10.1016/j.envres.2022.112862. Epub 2022 Feb 4.

引用本文的文献

1
Exposure to pesticides and risk of Hodgkin lymphoma in an international consortium of agricultural cohorts (AGRICOH).
Cancer Causes Control. 2023 Nov;34(11):995-1003. doi: 10.1007/s10552-023-01748-1. Epub 2023 Jul 7.
2
Survival advantage of cohort participation attenuates over time: results from three long-standing community-based studies.
Ann Epidemiol. 2020 May;45:40-46.e4. doi: 10.1016/j.annepidem.2020.03.010. Epub 2020 Apr 3.
3
Types of Exposure Pesticide Poisoning in Jiangsu Province, China; The Epidemiologic Trend between 2006 and 2018.
Int J Environ Res Public Health. 2019 Jul 19;16(14):2586. doi: 10.3390/ijerph16142586.
5
Pesticide Use and Age-Related Macular Degeneration in the Agricultural Health Study.
Environ Health Perspect. 2017 Jul 19;125(7):077013. doi: 10.1289/EHP793.
6
Organic solvent exposure and depressive symptoms among licensed pesticide applicators in the Agricultural Health Study.
Int Arch Occup Environ Health. 2017 Nov;90(8):849-857. doi: 10.1007/s00420-017-1245-8. Epub 2017 Jul 12.
9
Evaluation of Selection Bias in an Internet-based Study of Pregnancy Planners.
Epidemiology. 2016 Jan;27(1):98-104. doi: 10.1097/EDE.0000000000000400.

本文引用的文献

1
Depression and pesticide exposures among private pesticide applicators enrolled in the Agricultural Health Study.
Environ Health Perspect. 2008 Dec;116(12):1713-9. doi: 10.1289/ehp.11091. Epub 2008 Sep 9.
2
Loss to follow up did not bias associations between early life factors and adult depression.
J Clin Epidemiol. 2008 Sep;61(9):958-63. doi: 10.1016/j.jclinepi.2007.11.005. Epub 2008 May 20.
3
Lower prevalence of heart disease but higher mortality risk during follow-up was found among nonrespondents to a cohort study.
J Clin Epidemiol. 2006 Apr;59(4):412-20. doi: 10.1016/j.jclinepi.2005.08.019. Epub 2006 Feb 14.
5
The validation of a pesticide exposure algorithm using biological monitoring results.
J Occup Environ Hyg. 2005 Mar;2(3):194-201. doi: 10.1080/15459620590923343.
6
A quantitative approach for estimating exposure to pesticides in the Agricultural Health Study.
Ann Occup Hyg. 2002 Mar;46(2):245-60. doi: 10.1093/annhyg/mef011.
7
Follow-up of a large cohort of Black women.
Am J Epidemiol. 2001 Nov 1;154(9):845-53. doi: 10.1093/aje/154.9.845.
9
Response bias in the Honolulu Heart Program.
Am J Epidemiol. 1989 Dec;130(6):1088-100. doi: 10.1093/oxfordjournals.aje.a115436.
10
Response and follow-up bias in cohort studies.
Am J Epidemiol. 1977 Sep;106(3):184-7. doi: 10.1093/oxfordjournals.aje.a112451.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验