Trait-based Anxiety Symptoms are Associated with Higher Incidence of Nightmare Frequency in the Wisconsin Sleep Cohort.

IF 2.2 3区 医学 Q3 CLINICAL NEUROLOGY
Behavioral Sleep Medicine Pub Date : 2024-11-01 Epub Date: 2024-07-31 DOI:10.1080/15402002.2024.2386608
Matthew K P Gratton, Nancy Hamilton, Diego R Mazzotti
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引用次数: 0

Abstract

Objectives: Nightmares affect up to 12% of the population and are often comorbid with psychiatric disorders like anxiety and depression. Limited research has examined their influence on nightmare frequency. This study investigates the relationship between depression and trait-anxiety symptoms on incident nightmare frequency at follow-up.

Method: Cross-sectional and longitudinal analyses were conducted on 758 Wisconsin Sleep Cohort participants. Trait anxiety and depression symptom severity were measured using the State Trait Anxiety Inventory and Zung Depression Scale. Ordinal regression determined nightmare frequency cutoffs based on anxiety and depression severity. Cross-sectional associations were assessed with Spearman and Kruskal-Wallis tests. Longitudinal associations were analyzed using adjusted binomial regression of binary nightmare frequency (low: <4/month, high: >5/month) against clinical cutoffs of trait anxiety and depression.

Results: Adjusted models indicated a small correlation between baseline nightmare frequency and trait anxiety (β = 0.01, p = .010) and depression symptoms (β = 0.01, p = .005). High baseline trait-anxiety symptoms were associated with frequent nightmares at follow-up (OR = 3.75, CI95% [1.306,10.793], p < .014), but depression symptoms were not (OR = 1.35, CI95%[0.399, 4.587], p = .627).

Conclusions: Our findings suggest that high trait-anxiety symptoms are associated with increased incident nightmare frequency, when adjusted for depression. However, high depression symptoms were not associated with an increase in nightmare frequency when adjusted for trait-anxiety.

基于特质的焦虑症状与威斯康星睡眠队列中较高的噩梦发生率有关。
目的:多达 12% 的人受到噩梦的影响,而且噩梦往往与焦虑症和抑郁症等精神疾病并发。有关它们对噩梦频率影响的研究十分有限。本研究调查了抑郁症状和特质焦虑症状在随访中对噩梦发生频率的影响:方法:对 758 名威斯康星睡眠队列参与者进行了横向和纵向分析。采用国家特质焦虑量表和 Zung 抑郁量表测量特质焦虑和抑郁症状的严重程度。根据焦虑和抑郁的严重程度,用正序回归法确定了噩梦频率临界值。横向联系采用 Spearman 和 Kruskal-Wallis 检验进行评估。使用二元噩梦频率(低:5/月)与特质焦虑和抑郁的临床临界值的调整二项式回归分析纵向关联:调整后的模型表明,基线噩梦频率与特质焦虑(β = 0.01,p = .010)和抑郁症状(β = 0.01,p = .005)之间存在微小的相关性。高基线特质焦虑症状与随访时经常做噩梦有关(OR = 3.75,CI95% [1.306,10.793],P = .627):我们的研究结果表明,在对抑郁症进行调整后,高特质焦虑症状与噩梦发生频率的增加有关。然而,在对特质焦虑进行调整后,高抑郁症状与噩梦频率的增加无关。
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来源期刊
Behavioral Sleep Medicine
Behavioral Sleep Medicine CLINICAL NEUROLOGY-PSYCHIATRY
CiteScore
7.20
自引率
3.20%
发文量
49
审稿时长
>12 weeks
期刊介绍: Behavioral Sleep Medicine addresses behavioral dimensions of normal and abnormal sleep mechanisms and the prevention, assessment, and treatment of sleep disorders and associated behavioral and emotional problems. Standards for interventions acceptable to this journal are guided by established principles of behavior change. Intending to serve as the intellectual home for the application of behavioral/cognitive science to the study of normal and disordered sleep, the journal paints a broad stroke across the behavioral sleep medicine landscape. Its content includes scholarly investigation of such areas as normal sleep experience, insomnia, the relation of daytime functioning to sleep, parasomnias, circadian rhythm disorders, treatment adherence, pediatrics, and geriatrics. Multidisciplinary approaches are particularly welcome. The journal’ domain encompasses human basic, applied, and clinical outcome research. Behavioral Sleep Medicine also embraces methodological diversity, spanning innovative case studies, quasi-experimentation, randomized trials, epidemiology, and critical reviews.
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