Familial Aggregation of Insomnia

Jarrin, Denise C.; Morin, Charles M.; Rochefort, and Alain; Ivers, Hans; Dauvilliers, Yves; Savard, Josée; LeBlanc, Mélanie; Mérette, Chantal

doi:10.1093/sleep/zsw053

Cited by 12 publications

(7 citation statements)

References 40 publications

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“…This also applies to a population-based cross-sectional study which showed that persons who ever suffered from insomnia had an increased chance of having relatives with insomnia compared to persons without a history of insomnia (OR = 1.57, 95% CI: 1.19–2.07) [ 20 ]. In a further study with a reconstructed cohort design, biological relatives of index persons had a higher risk of insomnia when index persons were affected with insomnia but results were not unambiguous for parents and children (RR = 1.80 (p = 0.04) for all biological relatives, 4.96 (p = 0.08) for siblings, 0.84 (p = 0.71) for parents, 1.65 (p = 0.38) for offspring) [ 21 ]. In the same study, partners of index persons were also taken into account, and the corresponding relative risk was increased but not estimated precisely (RR = 2.13, p = 0.28).…”

Section: Discussionmentioning

confidence: 99%

“…Contrary to some other studies, sleep characteristics of offspring and partners were directly assessed. Thus, reporting bias could be avoided because in earlier studies there was an indication that persons with insomnia had a tendency to overreport insomnia in relatives [ 21 ].…”

Section: Discussionmentioning

confidence: 99%

“…If a person suffers from sleep disorders, it is of interest whether sleep disorders are also present in relatives or partners so that both could profit from measures of sleep improvement. So far, there are only few studies on familial insomnia [ 17 – 21 ], and even less studies on aggregation of sleep characteristics in couples [ 21 ].…”

Section: Introductionmentioning

confidence: 99%

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Family aggregation of sleep characteristics: Results of the Heinz Nixdorf Recall and the Multi-Generation Study

et al. 2021

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Introduction Poor sleep is a risk factor for adverse health events. For health prevention, it may be helpful to know whether poor sleep or sleep disorders in individuals are associated with sleep problems in their partners or children. Methods In the MultiGeneration Study (MGS, conducted from 2013 to 2016), 1237 partners (aged 27 to 90 years) and 1660 adult children (aged 18 to 66 years) of index persons were recruited. Index persons are participants of the Heinz Nixdorf Recall Study, a population-based cohort study in the Ruhr area (study start 1999–2001, 4841 participants aged 45–75 years). We used two analysis populations: one with 1181 index persons whose partners were in MGS, and one with 1083 index persons with at least one adult child in MGS. Sleep characteristics were assessed using questionnaires (including the Pittsburgh Sleep Quality Index). The exposure was the presence of a sleep characteristic of the index subject. Results Children showed the investigated sleep characteristics more often if these were also present in their parent (e.g., RR (relative risk) = 1.28 (95% CI: 1.06–1.55) for poor sleep quality). In partners, strong associations were observed for rising times and napping, but only weak associations for snoring, poor sleep quality and sleep disorders. Snoring of the bed partner is a risk factor for poor sleep (e.g., RR = 1.67 (0.91–3.07) for difficulties falling asleep). Conclusion Aggregation is observed for many sleep characteristics in people living in partnerships as well as in parents and their adult children.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Family aggregation of sleep characteristics: Results of the Heinz Nixdorf Recall and the Multi-Generation Study

et al. 2021

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“…Family studies in the insomnia field report a variety of statistics, making it difficult to calculate a robust estimate, but studies show that between 35% and 73% of patients with insomnia‐type phenotypes also have a relative with sleep disturbances/insomnia 13,14,40 . Using a similar metric, other family studies yield a relative risk of having insomnia of 1.8 to 4.42 in those with positive biological family history 41‐43 . Finally, other family studies have showed that around 29% to 37% of variability in stress‐related sleep disturbance, and 48% to 61% for current and lifetime insomnia disorder, is accounted for by familial factors 42,44,45 .…”

Section: Discussionmentioning

confidence: 99%

The heritability of insomnia: A meta‐analysis of twin studies

Barclay

Kocevska

Bramer

et al. 2020

Genes Brain and Behavior

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Twin studies of insomnia exhibit heterogeneity in estimates of heritability. This heterogeneity is likely because of sex differences, age of the sample, the reporter and the definition of insomnia. The aim of the present study was to systematically search the literature for twin studies investigating insomnia disorder and insomnia symptoms and to meta‐analyse the estimates of heritability derived from these studies to generate an overall estimate of heritability. We further examined whether heritability was moderated by sex, age, reporter and insomnia symptom. A systematic literature search of five online databases was completed on 24 January 2020. Two authors independently screened 5644 abstracts, and 160 complete papers for the inclusion criteria of twin studies from the general population reporting heritability statistics on insomnia or insomnia symptoms, written in English, reporting data from independent studies. We ultimately included 12 papers in the meta‐analysis. The meta‐analysis focussed on twin intra‐class correlations for monozygotic and dizygotic twins. Based on these intra‐class correlations, the meta‐analytic estimate of heritability was estimated at 40%. Moderator analyses showed stronger heritability in females than males; and for parent‐reported insomnia symptoms compared with self‐reported insomnia symptoms. There were no other significant moderator effects, although this is likely because of the small number of studies that were comparable across levels of the moderators. Our meta‐analysis provides a robust estimate of the heritability of insomnia, which can inform future research aiming to uncover molecular genetic factors involved in insomnia vulnerability.

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“…Aim of FA analysis is to identify groups of related individuals carrying the same symptoms or disease due to some underlying shared mechanism. A wide range of diseases has been previously analyzed with FA methods (Naj and Beaty, 2017), including cancer (Tokuhata and Lilienfeld, 1963), cardiovascular disease (Feinleib et al , 1977) and more recently autoimmune disease (Kuo et al , 2015) and insomnia (Jarrin et al , 2017). The increasing availability of large pedigrees for epidemiological research provides both an opportunity and a challenge for FA analysis, especially considering that such large pedigrees are often incomplete and with no regular structure.…”

Section: Introductionmentioning

confidence: 99%