Vulnerability to insomnia: The role of familial aggregation

Drake, Christopher L.; Scofield, Holly; Roth, Thomas

doi:10.1016/j.sleep.2007.04.012

Cited by 72 publications

(47 citation statements)

References 26 publications

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“…High scores on the FIRST indicate greater vulnerability to sleep disruption. 21 Consistent with prior studies in the present study, we used the median score (12) to define high and low FIRST score groups. 16,[21][22][23][24] Patient Health Questionnaire-9 (PHQ-9)…”

Section: Ford Insomnia Response To Stress Test (First)mentioning

confidence: 94%

“…Women were assigned to 1 of 5 depressive symptom categories based on total PHQ-9 score: (a) no depressive symptoms (0-4); (b) mild (5-9); (c) moderate (10)(11)(12)(13)(14); (d) moderately severe (15)(16)(17)(18)(19); and (e) severe (20)(21)(22)(23)(24)(25)(26)(27) depressive symptoms. For the purpose of this study, we defined presence of antepartum depression based upon total PHQ-9 score, (a) no depressive symptoms (0-9) and (b) antepartum depression (10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27). 25 A meta-analysis of 14 studies supports the use of a PHQ-9 score of ≥ 10 to classify subjects with major depressive disorder.…”

Section: Ford Insomnia Response To Stress Test (First)mentioning

confidence: 99%

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Psychometric Evaluation of the Ford Insomnia Response to Stress Test (FIRST) in Early Pregnancy

Gelaye

Barrios

et al. 2016

Journal of Clinical Sleep Medicine

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Study Objectives: To evaluate the construct validity and factor structure of the Spanish-language version of the Ford Insomnia Response to Stress Test questionnaire (FIRST-S) when used in early pregnancy. Methods: A cohort of 647 women were interviewed at ≤ 16 weeks of gestation to collect information regarding lifestyle, demographic, and sleep characteristics. The factorial structure of the FIRST-S was tested through exploratory and confirmatory factor analyses (EFA and CFA). Internal consistency and construct validity were also assessed by evaluating the association between the FIRST-S with symptoms of depression, anxiety, and sleep quality. Item response theory (IRT) analyses were conducted to complement classical test theory (CTT) analytic approaches. Results: The mean score of the FIRST-S was 13.8 (range: 9-33). The results of the EFA showed that the FIRST-S contained a one-factor solution that accounted for 69.8% of the variance. The FIRST-S items showed good internal consistency (Cronbach α = 0.81). CFA results corroborated the one-factor structure finding from the EFA; and yielded measures indicating goodness of fit (comparative fit index of 0.902) and accuracy (root mean square error of approximation of 0.057). The FIRST-S had good construct validity as demonstrated by statistically significant associations of FIRST-S scores with sleep quality, antepartum depression and anxiety symptoms. Finally, results from IRT analyses suggested excellent item infit and outfit measures. Conclusions: The FIRST-S was found to have good construct validity and internal consistency for assessing vulnerability to insomnia during early pregnancy.

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Section: Ford Insomnia Response To Stress Test (First)mentioning

confidence: 94%

Section: Ford Insomnia Response To Stress Test (First)mentioning

confidence: 99%

Psychometric Evaluation of the Ford Insomnia Response to Stress Test (FIRST) in Early Pregnancy

Gelaye

Barrios

et al. 2016

Journal of Clinical Sleep Medicine

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“…5b). It is well known that some healthy subjects are more prone to sleep disruption in the face of stress than others (Bonnet and Arand 2003;Drake et al 2004) and that this trait may be inherited (Drake et al 2008;Bonnet and Arand 2010;Heath et al 1990). Post-arousal sleep dynamics may provide the basis for these inter-individual differences.…”

Section: Arousability Index (%)mentioning

confidence: 99%

The case for using digital EEG analysis in clinical sleep medicine

Younes

2017

Sleep Science Practice

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Evaluation of sleep in clinical polysomnograms continues to rely almost exclusively on visual scoring that implements rules proposed by Rechtschaffen and Kales nearly 50 years ago. Apart from its cost and timeconsuming nature, visual scoring has limitations including: A) Sleep depth, which is a continuous variable, is treated as if it changes in a stepwise fashion from light (stage 1), to intermediate (stage 2) to deep (stage 3). B) Even with this limited scale, there is considerable inter-scorer variability, particularly in scoring stages 1 and 3 of non-REM sleep, thereby adding uncertainty to %time spent in these stages as a reliable metric for evaluating sleep depth. C) Limitation in scoring some of EEG features, including 1) arousal intensity, 2) extent of Alpha intrusion and 3) frequency, and characteristics of sleep spindles and K complexes. Digital analysis can solve these problems but producing a reliable system has been a challenge. In this review I begin with recent advances in digital scoring of sleep according to the Rechtschaffen and Kales rules and conclude that this technology has progressed enough to make it possible to obtain reliable, reproducible scoring, comparable in accuracy to scoring by highly experienced technologists, with minimal editing. This is followed by description of several new metrics that can be obtained if digital scoring systems were to be used routinely in clinical studies. The scientific evidence supporting the potential of these metrics to positively impact sleep medicine practice and the wide range of such metrics in patients studied in the sleep laboratory are highlighted.

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“…in coffee-induced insomnia, initial insomnia, 26 and vulnerability to stress-related sleep disturbances (i.e., sleep reactivity). 27 Contrary to expectations, parents and offspring of cases with insomnia showed no greater risk of insomnia compared with parents and offspring of individuals without insomnia. Additionally, no gender effects were observed in the present study.…”

Section: Discussionmentioning

confidence: 81%

Familial Aggregation of Insomnia

Jarrin

Morin

Rochefort

et al. 2016

Sleep

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Study Objectives: There is little information about familial aggregation of insomnia; however, this type of information is important to (1) improve our understanding of insomnia risk factors and (2) to design more effective treatment and prevention programs. This study aimed to investigate evidence of familial aggregation of insomnia among first-degree relatives of probands with and without insomnia. Methods: Cases (n = 134) and controls (n = 145) enrolled in a larger epidemiological study were solicited to invite their first-degree relatives and spouses to complete a standardized sleep/insomnia survey. In total, 371 first-degree relatives (M age = 51.9 years, SD = 18.0; 34.3% male) and 138 spouses (M age = 55.5 years, SD = 12.2; 68.1% male) completed the survey assessing the nature, severity, and frequency of sleep disturbances. The dependent variable was insomnia in first-degree relatives and spouses. Familial aggregation was claimed if the risk of insomnia was significantly higher in the exposed (relatives of cases) compared to the unexposed cohort (relatives of controls). The risk of insomnia was also compared between spouses in the exposed (spouses of cases) and unexposed cohort (spouses of controls). Results: The risk of insomnia in exposed and unexposed biological relatives was 18.6% and 10.4%, respectively, yielding a relative risk (RR) of 1.80 (p = .04) after controlling for age and sex. The risk of insomnia in exposed and unexposed spouses was 9.1% and 4.2%, respectively; however, corresponding RR of 2.13 (p = .28) did not differ significantly. Conclusions: Results demonstrate evidence of strong familial aggregation of insomnia. Additional research is warranted to further clarify and disentangle the relative contribution of genetic and environmental factors in insomnia.

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Vulnerability to insomnia: The role of familial aggregation

Abstract: Our data support the notion that vulnerability to stress-related sleep disturbance has a strong familial aggregation. Additional studies are needed to determine the genetic or environmental origins of this relationship and its underlying biological substrates.

Cited by 72 publications

References 26 publications

Psychometric Evaluation of the Ford Insomnia Response to Stress Test (FIRST) in Early Pregnancy

Psychometric Evaluation of the Ford Insomnia Response to Stress Test (FIRST) in Early Pregnancy

The case for using digital EEG analysis in clinical sleep medicine

Familial Aggregation of Insomnia

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