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Objectives Japanese people are known to get the least amount of sleep in the world, and in particular, the increase in sleep deprived young women is a serious problem. Sleep deprivation is considered to be associated with depression, but the factors involved in this problem are unclear. This study aimed to examine the association between sociodemographic factors, lifestyle choices, sleep-related characteristics and depressive symptoms in young Japanese women.Design Web-based cross-sectional study.Participants We distributed an online survey aiming to recruit young Japanese women ages 18 to 29 from 8 November 2022 to 2 February 2023.Primary and secondary outcome measures Sociodemographic, lifestyle, health, and sleep characteristics were compared among participants according to the presence or absence of depressive symptoms, as assessed by the Patient Health Questionnaire 2 (Cut-off value: 3 points).Results Overall, 540 participants aged between 19 and 29 years were enrolled in the study. The overall prevalence of depressive symptoms was 15.6%. The group with depressive symptoms had a higher rate of current smoking status at 38.5% (unadjusted OR 3.716, 95% CI 1.624 to 8.502). Multiple logistic analyses revealed that depressive symptoms were associated with increased sleep onset latency (β=0.282; p=0.048; OR, 1.325; 95% CI, 1.003 to 1.752) and daytime dysfunction (β=0.550; p

Objectives To investigate the relationship between sleep quality and perimenstrual symptoms among Japanese female students.Design Observational, cross-sectional, online surveySetting We used an online questionnaire to collate responses from Japanese female students on sleep quality and perimenstrual symptoms.Participants A total of 298 female students aged 18–25 years in Japan were included in this study.Primary and secondary outcome measures The Menstrual Distress Questionnaire (MDQ) was used to assess the severity of perimenstrual symptoms for three periods—premenstrual, menstrual and postmenstrual—and the Japanese version of the Pittsburgh Sleep Quality Index was used to assess sleep quality. The MDQ scores were compared between two groups (normal-sleep quality and low-sleep quality) using Mann-Whitney U test. In addition, multiple logistic regression analysis was performed, and the MDQ subscales that showed significant differences between the groups were used as independent variables. The MDQ subscale that was strongly associated with sleep quality was calculated.Results Of the female students, 160 were classified into the normal-sleep quality group and 138 into the low-sleep quality group. The total MDQ scores were significantly higher in the low-sleep quality group at all phases of the menstrual cycle (respectively p