Sleep patterns and insomnia in young adults: A national survey of Norwegian university students

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Abstract

The aim of this study was to describe sleep patterns and rate of insomnia according to diagnostic criteria in college and university students, as well as to examine potential changes in sleep problems from 2010 to 2018. Data stemmed from a national student health survey from 2018 for higher education in Norway (the SHoT study), which invited all 162,512 fulltime students in Norway. A total of 50,054 students (69.1% women) aged 18-35 years were included, yielding a response rate of 30.8%. Sleep parameters, reported separately for weekdays and weekends, included calculations of bedtime, rise time, sleep duration, sleep-onset latency, wake after sleep onset, sleep need and sleep deficit. Insomnia was defined according to the Diagnostic and Statistical Manual of Mental Disorders (5th edn) criteria. For the trend analysis, we used one item measuring difficulties initiating and/or maintaining sleep, over three time points (2010, 2014 and 2018). The results from 2018 showed large weekday-weekend differences across most sleep parameters. Both male and female students obtained a mean sleep duration in the lower end of the normal range on weekdays (7:24 hr), but met their own sleep need and sleep recommendations at weekends (8:25 hr). The overall prevalence of insomnia was 34.2% in women and 22.2% in men. There was a substantial increase in sleep problems from 2010 (22.6%) to 2018 (30.5%), which was especially pronounced in women. We conclude that sleep problems are both prevalent and increasing among students. This warrants attention as a public health problem in this population.

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The effects of improving sleep on mental health (OASIS): a randomised controlled trial with mediation analysis

Daniel Freeman, Bryony Sheaves, Guy M. Goodwin … (2017)

Summary Background Sleep difficulties might be a contributory causal factor in the occurrence of mental health problems. If this is true, improving sleep should benefit psychological health. We aimed to determine whether treating insomnia leads to a reduction in paranoia and hallucinations. Methods We did this single-blind, randomised controlled trial (OASIS) at 26 UK universities. University students with insomnia were randomly assigned (1:1) with simple randomisation to receive digital cognitive behavioural therapy (CBT) for insomnia or usual care, and the research team were masked to the treatment. Online assessments took place at weeks 0, 3, 10 (end of therapy), and 22. The primary outcome measures were for insomnia, paranoia, and hallucinatory experiences. We did intention-to-treat analyses. The trial is registered with the ISRCTN registry, number ISRCTN61272251. Findings Between March 5, 2015, and Feb 17, 2016, we randomly assigned 3755 participants to receive digital CBT for insomnia (n=1891) or usual practice (n=1864). Compared with usual practice, the sleep intervention at 10 weeks reduced insomnia (adjusted difference 4·78, 95% CI 4·29 to 5·26, Cohen's d=1·11; p<0·0001), paranoia (−2·22, −2·98 to −1·45, Cohen's d=0·19; p<0·0001), and hallucinations (−1·58, −1·98 to −1·18, Cohen's d=0·24; p<0·0001). Insomnia was a mediator of change in paranoia and hallucinations. No adverse events were reported. Interpretation To our knowledge, this is the largest randomised controlled trial of a psychological intervention for a mental health problem. It provides strong evidence that insomnia is a causal factor in the occurrence of psychotic experiences and other mental health problems. Whether the results generalise beyond a student population requires testing. The treatment of disrupted sleep might require a higher priority in mental health provision. Funding Wellcome Trust.

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Sleep patterns and insomnia among adolescents: a population-based study.

K. Stormark, Børge Sivertsen, Astri Lundervold … (2013)

The aim of the current study was to examine sleep patterns and rates of insomnia in a population-based study of adolescents aged 16-19 years. Gender differences in sleep patterns and insomnia, as well as a comparison of insomnia rates according to DSM-IV, DSM-V and quantitative criteria for insomnia (Behav. Res. Ther., 41, 2003, 427), were explored. We used a large population-based study in Hordaland county in Norway, conducted in 2012. The sample included 10,220 adolescents aged 16-18 years (54% girls). Self-reported sleep measurements included bedtime, rise time, time in bed, sleep duration, sleep efficiency, sleep onset latency, wake after sleep onset, rate and frequency and duration of difficulties initiating and maintaining sleep and rate and frequency of tiredness and sleepiness. The adolescents reported short sleep duration on weekdays (mean 6:25 hours), resulting in a sleep deficiency of about 2 h. A majority of the adolescents (65%) reported sleep onset latency exceeding 30 min. Girls reported longer sleep onset latency and a higher rate of insomnia than boys, while boys reported later bedtimes and a larger weekday-weekend discrepancy on several sleep parameters. Insomnia prevalence rates ranged from a total prevalence of 23.8 (DSM-IV criteria), 18.5 (DSM-V criteria) and 13.6% (quantitative criteria for insomnia). We conclude that short sleep duration, long sleep onset latency and insomnia were prevalent in adolescents. This warrants attention as a public health concern in this age group. © 2013 European Sleep Research Society.

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Sleep duration and health in young adults.

Andrew Steptoe, Victoria Peacey, Jane Wardle (2006)

Both long and short sleep durations have been associated with negative health outcomes in middle-aged and older adults. This study assessed the relationship between sleep duration and self-rated health in young adults. Using anonymous questionnaires, data were collected from 17 465 university students aged 17 to 30 years who were taking non-health-related courses at 27 universities in 24 countries. The response rate was greater than 90%. Sleep duration was measured by self-report; the health outcome was self-rated health; and age, sex, socioeconomic background, smoking, alcohol consumption, body mass index, physical activity, depression (Beck Depression Inventory), recent use of health services, and country of origin were included as covariates. Sixty-three percent of respondents slept for 7 to 8 hours; 21% were short sleepers (6%, 10 hours). Compared with the reference category (7-8 hours), the adjusted odds ratio of poor health was 1.56 (95% confidence interval [CI], 1.22-1.99) for respondents sleeping 6 to 7 hours and 1.99 (95% CI, 1.31-3.03) for those sleeping less than 6 hours. The same significant pattern was seen when the results were analyzed separately by sex. When respondents from Japan, Korea, and Thailand (characterized by relatively short sleep durations) were excluded, the adjusted odds ratios were 1.33 (95% CI 1.03-1.73) and 1.62 (95% CI, 1.06-2.48) for those sleeping 6 to 7 hours and less than 6 hours, respectively. There were no significant associations between self-rated health and long sleep duration. Our data suggest that short sleep may be more of a concern than long sleep in young adults.