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The association between insomnia and prescription opioid use: results from a community sample in Northeast Florida

机译：失眠与处方阿片类药物使用之间的关联：佛罗里达州东北部社区样本的结果

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Objective: The current analysis examines whether opioid use is associated with insomnia in a community sample, as the consequences of the growing epidemic of prescription opioid use continue to cause public health concern. Study design: A cross-sectional study including 8433 members in a community outreach program, HealthStreet, in Northeast Florida. Methods: Community Health Workers (CHWs) assessed health information, including use of opioids (i.e., Vicodin?, Oxycodone, Codeine, Demerol?, Morphine, Percocet?, Darvon?, Hydrocodone) from community members during field outreach. Insomnia was determined based on self-report: "Have you ever been told you had, or have you ever had a problem with insomnia?" Summary descriptive statistics were calculated and logistic regression modeling was used to calculate adjusted odds ratios (ORs) with 95% confidence intervals for insomnia, by opioid use status, after adjustment for demographics and other covariates. Results: Among 8433 community members recruited (41% male; 61% Black), 2115 (25%) reported insomnia, and 4200 (50.3%) reported use of opioids. After adjusting for covariates, opioid users were significantly more likely to report insomnia than non-users (adjusted OR, 1.42; 95% CI, 1.25-1.61). Conclusion: Insomnia was 42% more likely among those who reported using prescription opioids compared to those who did not. With one half of the sample reporting prescription opioid use, and a fourth reporting insomnia, it is important to further investigate the relationship between the two. Findings provide useful preliminary information from which to conduct further analyses.
机译：目的：当前的分析研究了阿片类药物的使用是否与社区样本中的失眠有关，因为处方药的流行病的后果继续引起公共卫生的关注。研究设计：一项横断面研究，包括佛罗里达州东北部的Healthstreet社区外展计划中的8433名成员。方法：社区卫生工作者（CHW）评估了健康信息，包括使用阿片类药物（即vicodin？,,羟考酮，可待因，demerol？，吗啡，percocet？，darvon？hydrocodone？hydrocodone？）在实地外展期间。失眠是根据自我报告确定的：“您曾经被告知您有过，还是曾经对失眠有问题？”计算摘要描述性统计数据，并使用逻辑回归模型来计算失眠症的调整后的比值比（ORS），其置信区间是失眠的95％置信区间，阿片类药物使用状态，在对人口统计学和其他协变量进行调整后。结果：在8433名社区成员中，被招募（男性为41％;黑色61％），2115（25％）报道失眠，4200（50.3％）报告使用了阿片类药物。调整协变量后，阿片类药物用户报告失眠的可能性明显高于非用户（调整后的OR 1.42; 95％CI，1.25-1.61）。结论：与没有处方处方的阿片类药物相比，失眠症的可能性高42％。有一半的样本报告处方阿片类药物的使用以及第四个报告失眠，重要的是要进一步研究两者之间的关系。发现提供了有用的初步信息，可以从中进行进一步的分析。

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