Objective The anxiety-related insomnia and other sleep disorders were mentioned as possible side effects of quarantine and stay-at-home conditions. The questions to be explored were: Are there discernable differences in hours of sleep and sleep habits between the normal operational environment and the stay-at-home condition? and How seriously anxiety-induced insomnia or other sleep disorders may affect individuals during the stay-at-home? Methods This international prospective study analyzed results from the sleep-wake patterns questionnaire, daily logs, and interviews. During COVID-19 pandemic, surveys were administered to the healthy volunteers with stay-at-home for 14 days or more, without previous sleep disorders; volunteers were not involved in online education/work daily timetable-related activities. Results We analyzed 14,000 subjects from 11 countries with average stay-at-home of 62 days. The most significant changes in sleep occurred during the first 14 days of stay-at-home. The difference in the sleep duration between weekdays and weekends disappeared. Most of the participants discontinued using alarm clocks. The total sleep time increased in duration up to 9:10 ± 1:16 to the end of the quarantine/stay-at-home (+1:34, p = 0.02). The age-dependent changes in napping habits occurred. Only 1.8% of participants indicated insomnia during the first 14-day period with a decline to 0.5% after two months of stay-at-home. Conclusion During the stay-at-home situation, both duration and timing of sleep significantly differ from those of daily routine and most humans sleep longer than in a schedule-dependent operational environment. An appearance of anxiety-induced insomnia is extremely rare if a healthy individual is already in the stay-at-home situation.

Background The coronavirus pandemic presented a unique opportunity to study the daily temporal patterns and sleep habits of humans. The question to be explored was: Are there discernible differences in sleep between the normal operational environment and the stay-at-home condition? Methods This international prospective study analyzed results from the sleep-wake patterns questionnaire, daily logs, and interviews. Surveys were administered to the healthy volunteers (age 15–60 y) with stay-at-home for a month or more, without previous sleep disorders and mood-related complaints; volunteers were not involved in online education/work daily timetable-related activities. Results We analyzed 3787 subjects with average stay-at-home of 65 ± 9 days. The most significant changes in sleep occurred during the first ten days when the difference between weekdays and weekends disappeared and changes occurred in napping habits. The majority of the participants (66.8%) shifted toward eveningness when the self-selected sleep was possible and 1869 volunteers appeared to be owls (49.4%), 823 (21.7%) exercised “typical” sleep, 478 (12.6%) were larks, and 617 (16.3%) participants were completely desynchronized to the end of stay-at-home. In addition, 497 participants (13.1%) alternated their sleep habits. The most of the desynchronized participants (n = 414) were older than 50 years (age correlation r = 0.80), and predominantly males (n = 297, r = 0.76). Conclusion In self-selected sleep conditions, the timing of sleep and sleep habits significantly differ from those of socially and economically fixed daily routine conditions. The changes in daily temporal patterns of humans during a prolonged stay-at-home situation indicate that human sleep habits may change according to existing living conditions.

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Aim The reported incidence of isolated hemihyperplasia (IH) has a very wide range (from 1:13,000 to 1:86,000 live births) and further clarification is needed. We hypothesized that a survey of the birth prevalence of IH among newborn infants may underestimate the incidence of IH by overlooking late-onset cases. Methods The prospective international multicenter study utilized the two-steps selection tool for an anonymous survey of volunteers of 15–18 years old. The initial step was “three measurements-three questions” screening, or “face-palms-calves survey”. The subsequent step was an in-depth assessment of selected cases to exclude localized, lesional and syndrome-related cases as well as body asymmetry within normative range and to select suspected cases of IH. This step included measurements of various anatomical regions and a subsequent questionnaire. The participants that were selected in a risk group were advised to refer to medical institutions for clinical, genetic and instrumental investigation. Results Out of 6000 of selected participants (male, M 3452, female, F 2548), 229 (3.82%) were selected for detailed investigation and 57 (0.95%) were assigned to the risk group. Only 36 of them were actually referred to medical institutions and in two cases the diagnosis of IH was confirmed. Conclusion Our survey indicated the prevalence of IH at the age of adolescence as approximately 1:3000. While IH is a hereditary genetic disorder, it may not be detected in newborns and infants and the true prevalence of the disease can be estimated if older age children are screened.