• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

年轻成年人中的调查无应答偏差:酒精、烟草和毒品的作用。

Survey nonresponse bias among young adults: the role of alcohol, tobacco, and drugs.

作者信息

Cunradi Carol B, Moore Roland, Killoran Moira, Ames Genevieve

机构信息

Prevention Research Center, Pacific Institute for Research and Evaluation, Berkeley, California 94704, USA.

出版信息

Subst Use Misuse. 2005;40(2):171-85. doi: 10.1081/ja-200048447.

DOI:10.1081/ja-200048447
PMID:15770883
Abstract

The purpose of this study is to determine the role of alcohol, tobacco, and drug use as predictors of survey panel attrition among an occupational cohort of young adults in the U.S. military. Baseline data on substance use and sociodemographic factors were obtained from 2838 men and women through confidential, self-administered questionnaires while they attended Navy basic training or Officer Candidate School in 1998. Longitudinal follow-up using mailed self-administered questionnaires was begun in 2000. Multivariate logistic regression models were developed to estimate the odds of attrition in relation to baseline substance use. Results revealed that tobacco use was a significant predictor of attrition [Odds ratio (OR) = 1.63; 95% Confidence Interval (CI): 1.37, 1.95]. A significant interaction between level of education and drug use indicated that respondents with less than a college education who were also drug users were at elevated risk for attrition (OR = 2.39; 95% CI 1.09, 5.28). Other significant predictors of panel attrition were male gender and younger age. Alcohol use was not significantly associated with attrition. The findings suggest that tobacco users and drug users with less than a college education may be an important source of nonresponse bias in longitudinal surveys of employed young adults.

摘要

本研究的目的是确定酒精、烟草和药物使用在美国军队年轻成年职业队列中作为调查小组人员流失预测因素的作用。1998年,通过保密的自填问卷,从2838名男女在参加海军基础训练或军官候选学校时获取了关于物质使用和社会人口学因素的基线数据。2000年开始使用邮寄自填问卷进行纵向随访。建立多变量逻辑回归模型以估计与基线物质使用相关的人员流失几率。结果显示,烟草使用是人员流失的显著预测因素[优势比(OR)=1.63;95%置信区间(CI):1.37,1.95]。教育水平和药物使用之间的显著交互作用表明,未受过大学教育且使用药物的受访者人员流失风险较高(OR = 2.39;95% CI 1.09,5.28)。小组人员流失的其他显著预测因素是男性性别和年龄较小。酒精使用与人员流失无显著关联。研究结果表明,烟草使用者和未受过大学教育的药物使用者可能是在职年轻成年人纵向调查中无应答偏差的重要来源。

相似文献

1
Survey nonresponse bias among young adults: the role of alcohol, tobacco, and drugs.年轻成年人中的调查无应答偏差:酒精、烟草和毒品的作用。
Subst Use Misuse. 2005;40(2):171-85. doi: 10.1081/ja-200048447.
2
Assessing nonresponse bias at follow-up in a large prospective cohort of relatively young and mobile military service members.评估大型前瞻性队列中相对年轻且流动性较强的现役军人随访时的无应答偏倚。
BMC Med Res Methodol. 2010 Oct 21;10:99. doi: 10.1186/1471-2288-10-99.
3
Alcohol, tobacco, and nonmedical drug use disorders in U.S. Adults aged 65 years and older: data from the 2001-2002 National Epidemiologic Survey of Alcohol and Related Conditions.美国 65 岁及以上成年人中的酒精、烟草和非医疗用药障碍:来自 2001-2002 年全国酒精相关情况和流行病学调查的资料。
Am J Geriatr Psychiatry. 2011 Mar;19(3):292-9. doi: 10.1097/JGP.0b013e3181e898b4.
4
Selective nonresponse bias in population-based survey estimates of drug use behaviors in the United States.美国基于人群的药物使用行为调查估计中的选择性无应答偏差。
Soc Psychiatry Psychiatr Epidemiol. 2016 Jan;51(1):141-53. doi: 10.1007/s00127-015-1122-2. Epub 2015 Sep 16.
5
Co-occurrence of alcohol, smokeless tobacco, cigarette, and illicit drug use by lower ranking military personnel.低级别军事人员同时使用酒精、无烟烟草、香烟和非法药物的情况。
Addict Behav. 2000 Mar-Apr;25(2):253-62. doi: 10.1016/s0306-4603(99)00062-3.
6
Nonresponse bias in a longitudinal measurement design examining substance use across the transition out of high school.一项针对高中毕业后过渡阶段物质使用情况的纵向测量设计中的无应答偏差。
Drug Alcohol Depend. 2014 Oct 1;143:232-8. doi: 10.1016/j.drugalcdep.2014.07.039. Epub 2014 Aug 12.
7
Administration mode bias in a school survey on alcohol, tobacco and illicit drug use.一项关于酒精、烟草和非法药物使用的学校调查中的管理模式偏差。
Addiction. 1995 Apr;90(4):555-9. doi: 10.1046/j.1360-0443.1995.9045559.x.
8
Alternative Approaches to Assessing Nonresponse Bias in Longitudinal Survey Estimates: An Application to Substance-Use Outcomes Among Young Adults in the United States.评估纵向调查估计中非应答偏差的替代方法:在美国年轻成年人物质使用结果中的应用
Am J Epidemiol. 2017 Apr 1;185(7):591-600. doi: 10.1093/aje/kww115.
9
Co-occurrence of tobacco product use, substance use, and mental health problems among adults: Findings from Wave 1 (2013-2014) of the Population Assessment of Tobacco and Health (PATH) Study.成年人中烟草制品使用、物质使用和心理健康问题的共现情况:烟草与健康人口评估(PATH)研究第1波(2013 - 2014年)的结果
Drug Alcohol Depend. 2017 Aug 1;177:104-111. doi: 10.1016/j.drugalcdep.2017.03.032. Epub 2017 May 30.
10
Demographic and Psychosocial Predictors of Early Attrition for Drug Use in U.S. Marines.
Mil Med. 2016 Nov;181(11):e1540-e1545. doi: 10.7205/MILMED-D-15-00507.

引用本文的文献

1
Examining the effect of weight-related recruitment information on participant characteristics: A randomized field experiment.考察体重相关招募信息对参与者特征的影响:一项随机现场实验。
Obes Sci Pract. 2024 Feb 2;10(1):e739. doi: 10.1002/osp4.739. eCollection 2024 Feb.
2
Examining the continuum of resistance model in two population-based screening studies in Sweden.在瑞典两项基于人群的筛查研究中检验耐药连续性模型。
Prev Med Rep. 2023 Jul 13;35:102317. doi: 10.1016/j.pmedr.2023.102317. eCollection 2023 Oct.
3
Sample attrition analysis in a prospective cohort study of medical graduates in China.
中国医学毕业生前瞻性队列研究中的样本损耗分析。
BMC Med Res Methodol. 2022 Jan 14;22(1):14. doi: 10.1186/s12874-021-01498-1.
4
Longitudinal Uses of the Population Assessment of Tobacco and Health Study.烟草与健康人群评估研究的纵向应用。
Tob Regul Sci. 2021 Jan;7(1):3-16. doi: 10.18001/trs.7.1.1.
5
Examining neighborhood poverty-based disparities in HIV/STI prevalence: an analysis of Add Health data.考察基于邻里贫困的 HIV/性传播感染流行率差异:对“增长健康”数据的分析。
Ann Epidemiol. 2019 Nov;39:8-14.e4. doi: 10.1016/j.annepidem.2019.09.010. Epub 2019 Oct 9.
6
Factors Influencing Web-Based Survey Response for a Longitudinal Cohort of Young Women Born Between 1989 and 1995.1989年至1995年出生的年轻女性纵向队列中基于网络调查回应的影响因素
J Med Internet Res. 2019 Mar 25;21(3):e11286. doi: 10.2196/11286.
7
Population-Based Survey Methods for Reaching Adolescent and Young Adult Survivors of Pediatric Cancer and Their Parents.基于人群的调查方法,以接触儿科癌症的青少年和年轻成年幸存者及其父母。
J Adolesc Young Adult Oncol. 2019 Feb;8(1):40-48. doi: 10.1089/jayao.2018.0033. Epub 2018 Sep 15.
8
Attitudes towards mental health, mental health research and digital interventions by young adults with type 1 diabetes: A qualitative analysis.年轻人 1 型糖尿病患者对心理健康、心理健康研究和数字干预的态度:定性分析。
Health Expect. 2018 Jun;21(3):668-677. doi: 10.1111/hex.12662. Epub 2018 Jan 10.
9
Electronic Health Records to Evaluate and Account for Non-response Bias: A Survey of Patients Using Chronic Opioid Therapy.利用电子健康记录评估并考量无应答偏倚:对使用慢性阿片类药物治疗患者的一项调查
Obs Stud. 2016;2:24-38. Epub 2016 Feb 1.
10
Unit Nonresponse in a Population-Based Study of Prostate Cancer.基于人群的前列腺癌研究中的单位无应答情况。
PLoS One. 2016 Dec 16;11(12):e0168364. doi: 10.1371/journal.pone.0168364. eCollection 2016.