ABSTRACT
The present study aimed to describe the prevalence rates of frequent (i.e., at least weekly) dream recall and nightmares with consideration for differences in age, gender and sleep duration in 16 countries using equivalent assessment methods. The study sample included 15,854 participants (69.9% women) aged 18–99 years (M = 42.39, SD = 16.43) collected by the International COVID‐19 Sleep Study collaboration, which used a unified online survey to collect data from May to November 2021 across 16 countries. Participants provided demographic information as well as self‐reported estimates of their dream recall and nightmare frequency and sleep duration in 2021 and retrospectively for 2019. Frequent dream recall occurred in 54.0% of participants in 2021 and 51.1% in 2019. Frequent nightmares were reported by 11.0% of participants in 2021 and 6.9% in 2019. Ad hoc regression models found dream recall and sleep duration to have a linear relation, whereas nightmare frequency demonstrated a quadratic relation to sleep duration. Frequent dream recall and nightmare prevalence rates are reported for each of the 16 study countries by age, gender and sleep duration. This is the first multi‐continent study to estimate frequent dream recall and nightmare prevalence, which both provides updated prevalence rates during the COVID‐19 pandemic as well as extends existing knowledge to previously never studied countries.
Keywords: bad dreams, COVID‐19, disturbing dreams, dreaming
1. Introduction
Prevalence rates of frequent (i.e., at least weekly) nightmares range from 0.9% to 6.8%, while frequent dream recall is more prevalent at nearly 50% (Sandman et al. 2013; Schredl et al. 2022). These statistics are predominately drawn from studies investigating single European countries, each using different assessment methods and at times different degrees of frequency (e.g., ‘high’ dream recall of ≥ 3 days per week [Fränkl et al. 2021]; exceptions include [Janson 1995; Li et al. 2010]). It is not well known how frequent dream recall and nightmare prevalence rates vary across countries using the same assessment, let alone how rates vary by age, gender and sleep duration. Therefore, the present study aimed to describe the prevalence rates of frequent dream recall and nightmares with consideration for differences in age, gender and sleep duration across 16 countries using equivalent assessment methods. This work was possible through a larger project examining sleep during the COVID‐19 pandemic and thus provides descriptive data on frequent dream recall and nightmares during the pandemic as well as retrospectively prior to the pandemic in 2019.
2. Methods
2.1. Procedure
These data were collected by the International COVID‐19 Sleep Study collaboration, which used a unified online survey to collect data from May to November 2021 across 16 countries (see Merikanto et al. 2022 and Table 1). While most countries/regions in this study aimed to recruit samples characteristic of the general adult population, slight variations in samples between countries/regions occurred from different recruitment strategies. For example, the United States sampled undergraduate students, Italy marketed the survey to attempt to oversample participants with long‐COVID and Germany recruited patients from an outpatient sleep clinic amongst other recruitment sources (e.g., healthcare employees, students, patient organizations). Additional recruitment details are reported in our protocol paper (Merikanto et al. 2022). Ethical approval/exemption was sought by each principal investigator as required by their country/setting (Merikanto et al. 2022).
TABLE 1.
Prevalence rates of weekly or more frequent dream recall and nightmares.
| Country | Time | Total | Change | Age (years) | Gender | Sleep duration a | |||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| 18–34 | 35–64 | 65+ | Men | Women | < 6 h | 6–9 h | > 9 h | ||||
| Total sample (n) | 2019 | 15,680 | 5800 | 8081 | 1799 | 4718 | 10,962 |
1183 2041 |
13,848 12,947 |
649 692 |
|
| 2021 | |||||||||||
| Dream recall | 2019 | 51.1% | 2.9% | 58.5% | 46.5% | 47.6% | 46.8% | 52.9% | 47.1% | 50.6% | 69.2% |
| 2021 | 54.0% | 63.7% | 47.6% | 51.3% | 50.1% | 55.7% | 51.0% | 53.5% | 71.4% | ||
| Nightmares | 2019 | 6.9% | 4.1% | 8.7% | 5.3% | 8.7% | 7.5% | 6.7% | 10.0% | 6.5% | 11.7% |
| 2021 | 11.0% | 12.3% | 10.0% | 11.2% | 10.7% | 11.1% | 18.4% | 9.4% | 18.8% | ||
| Austria (n) | 2019 | 798 | 230 | 516 | 52 | 182 | 616 |
43 100 |
722 664 |
33 34 |
|
| 2021 | |||||||||||
| Dream recall | 2019 | 56.1% | 3.9% | 62.2% | 52.9% | 61.5% | 53.3% | 57.0% | 48.8% | 55.4% | 81.8% |
| 2021 | 60.0% | 67.0% | 56.6% | 63.5% | 53.8% | 61.9% | 49.0% | 60.8% | 76.5% | ||
| Nightmares | 2019 | 5.8% | 7.9% | 7.8% | 4.8% | 5.8% | 5.5% | 5.8% | 4.7% | 5.1% | 21.2% |
| 2021 | 13.7% | 14.8% | 13.4% | 11.5% | 9.3% | 14.9% | 22.0% | 11.9% | 23.5% | ||
| Brazil (n) | 2019 | 369 | 224 | 131 | 14 | 102 | 267 |
18 50 |
333 297 |
18 22 |
|
| 2021 | |||||||||||
| Dream recall | 2019 | 60.4% | 7.9% | 64.3% | 54.2% | 57.1% | 54.9% | 62.5% | 61.1% | 59.2% | 83.3% |
| 2021 | 68.3% | 76.3% | 56.5% | 50.0% | 67.6% | 68.5% | 60.0% | 68.4% | 86.4% | ||
| Nightmares | 2019 | 8.9% | 10.1% | 9.8% | 7.6% | 7.1% | 7.8% | 9.4% | 16.7% | 8.7% | 5.6% |
| 2021 | 19.0% | 18.8% | 20.6% | 7.1% | 14.7% | 20.6% | 34.0% | 15.2% | 36.4% | ||
| Bulgaria (n) | 2019 | 643 | 171 | 451 | 21 | 135 | 508 |
11 51 |
604 558 |
28 34 |
|
| 2021 | |||||||||||
| Dream recall | 2019 | 46.8% | 1.3% | 56.7% | 42.6% | 57.1% | 44.4% | 47.4% | 45.5% | 46.2% | 60.7% |
| 2021 | 48.1% | 57.9% | 43.9% | 57.1% | 45.9% | 48.6% | 54.9% | 46.6% | 61.8% | ||
| Nightmares | 2019 | 3.7% | 4.1% | 5.3% | 3.1% | 4.8% | 2.2% | 4.1% | 18.2% | 3.3% | 7.1% |
| 2021 | 7.8% | 8.2% | 7.5% | 9.5% | 5.2% | 8.5% | 29.4% | 6.1% | 2.9% | ||
| Canada (n) | 2019 | 890 | 179 | 561 | 150 | 218 | 672 |
41 114 |
821 744 |
28 32 |
|
| 2021 | |||||||||||
| Dream recall | 2019 | 53.5% | 3.1% | 62.6% | 49.9% | 56.0% | 55.5% | 52.8% | 41.5% | 53.5% | 71.4% |
| 2021 | 56.6% | 64.8% | 52.8% | 61.3% | 57.8% | 56.3% | 53.5% | 56.3% | 75.0% | ||
| Nightmares | 2019 | 3.9% | 5.5% | 5.6% | 3.9% | 2.0% | 3.7% | 4.0% | 9.8% | 3.4% | 10.7% |
| 2021 | 9.4% | 11.2% | 10.2% | 4.7% | 7.8% | 10.0% | 15.8% | 7.8% | 25.0% | ||
| Croatia (n) | 2019 | 758 | 182 | 523 | 53 | 158 | 600 |
30 88 |
711 656 |
17 14 |
|
| 2021 | |||||||||||
| Dream recall | 2019 | 47.0% | −1.8% | 54.4% | 44.9% | 41.5% | 43.0% | 48.0% | 53.3% | 46.6% | 52.9% |
| 2021 | 45.4% | 54.4% | 42.1% | 47.2% | 41.8% | 46.3% | 46.6% | 45.1% | 50.0% | ||
| Nightmares | 2019 | 2.9% | 1.6% | 4.4% | 2.5% | 1.9% | 2.5% | 3.0% | 10.0% | 2.5% | 5.9% |
| 2021 | 4.5% | 5.5% | 4.4% | 1.9% | 4.4% | 4.5% | 12.5% | 3.4% | 7.1% | ||
| Finland (n) | 2019 | 1673 | 621 | 932 | 120 | 246 | 1427 |
33 82 |
1533 1416 |
107 175 |
|
| 2021 | |||||||||||
| Dream recall | 2019 | 59.1% | 4.3% | 64.7% | 56.0% | 54.2% | 59.8% | 59.0% | 72.7% | 58.1% | 69.2% |
| 2021 | 63.4% | 72.8% | 57.8% | 58.3% | 62.6% | 63.6% | 62.2% | 61.9% | 76.6% | ||
| Nightmares | 2019 | 5.7% | 5.0% | 6.6% | 5.3% | 5.0% | 5.7% | 5.7% | 18.2% | 5.5% | 5.6% |
| 2021 | 10.7% | 11.4% | 10.1% | 11.7% | 8.9% | 11.0% | 24.4% | 9.2% | 16.6% | ||
| France (n) | 2019 | 579 | 173 | 370 | 36 | 127 | 452 |
19 50 |
527 502 |
33 27 |
|
| 2021 | |||||||||||
| Dream recall | 2019 | 46.3% | 1.9% | 55.5% | 42.4% | 41.7% | 44.9% | 46.7% | 42.1% | 44.4% | 78.8% |
| 2021 | 48.2% | 63.6% | 41.9% | 38.9% | 45.7% | 48.9% | 44.0% | 46.4% | 88.9% | ||
| Nightmares | 2019 | 5.2% | 6.9% | 9.2% | 3.2% | 5.6% | 3.1% | 5.8% | 0.0% | 4.9% | 12.1% |
| 2021 | 12.1% | 12.7% | 11.9% | 11.1% | 7.9% | 13.3% | 26.0% | 9.4% | 37.0% | ||
| Germany (n) | 2019 | 596 | 101 | 407 | 88 | 337 | 259 |
96 117 |
482 449 |
18 30 |
|
| 2021 | |||||||||||
| Dream recall | 2019 | 33.7% | 5.4% | 31.7% | 33.4% | 37.5% | 27.0% | 42.5% | 54.2% | 28.0% | 77.8% |
| 2021 | 39.1% | 40.6% | 36.6% | 48.9% | 31.5% | 49.0% | 56.4% | 33.6% | 53.3% | ||
| Nightmares | 2019 | 6.9% | 4.2% | 4.0% | 5.7% | 15.9% | 4.5% | 10.0% | 2.1% | 7.5% | 16.7% |
| 2021 | 11.1% | 6.9% | 11.1% | 15.9% | 8.9% | 13.9% | 11.1% | 10.9% | 13.3% | ||
| Hong Kong/China (n) | 2019 | 520 | 236 | 240 | 44 | 174 | 346 |
38 65 |
464 440 |
18 15 |
|
| 2021 | |||||||||||
| Dream recall | 2019 | 47.9% | 5.4% | 52.1% | 47.5% | 27.3% | 48.3% | 47.7% | 36.8% | 48.5% | 55.6% |
| 2021 | 53.3% | 57.6% | 52.1% | 36.4% | 53.4% | 53.2% | 46.2% | 53.6% | 73.3% | ||
| Nightmares | 2019 | 8.3% | 2.5% | 10.2% | 7.1% | 4.5% | 8.0% | 8.4% | 2.6% | 8.2% | 22.2% |
| 2021 | 10.8% | 11.9% | 10.8% | 4.5% | 11.5% | 10.4% | 6.2% | 11.1% | 20.0% | ||
| Israel (n) | 2019 | 642 | 388 | 226 | 28 | 138 | 504 |
66 82 |
560 548 |
16 12 |
|
| 2021 | |||||||||||
| Dream recall | 2019 | 53.9% | 4.7% | 63.9% | 38.9% | 35.7% | 44.9% | 56.3% | 42.4% | 55.0% | 62.5% |
| 2021 | 58.6% | 73.2% | 36.3% | 35.7% | 50.7% | 60.7% | 58.5% | 58.4% | 66.7% | ||
| Nightmares | 2019 | 1.2% | 2.2% | 1.5% | 0.9% | 0.0% | 0.0% | 1.6% | 3.0% | 1.1% | 0.0% |
| 2021 | 3.4% | 3.6% | 3.5% | 0.0% | 1.4% | 4.0% | 12.2% | 1.8% | 16.7% | ||
| Italy (n) | 2019 | 1521 | 766 | 660 | 95 | 441 | 1080 |
55 185 |
1390 1265 |
76 71 |
|
| 2021 | |||||||||||
| Dream recall | 2019 | 53.7% | 1.1% | 64.2% | 43.8% | 37.9% | 50.8% | 54.9% | 49.1% | 52.9% | 72.4% |
| 2021 | 54.8% | 67.1% | 42.7% | 40.0% | 54.6% | 54.9% | 53.0% | 54.3% | 69.0% | ||
| Nightmares | 2019 | 4.8% | 6.3% | 7.7% | 1.8% | 2.1% | 5.4% | 4.5% | 7.3% | 4.5% | 9.2% |
| 2021 | 11.1% | 12.1% | 10.8% | 5.3% | 9.8% | 11.7% | 26.5% | 8.9% | 9.9% | ||
| Japan (n) | 2019 | 2985 | 744 | 1509 | 1582 | 1403 |
484 538 |
2473 2411 |
28 36 |
||
| 2021 | |||||||||||
| Dream recall | 2019 | 43.4% | 1.9% | 43.8% | 42.3% | 44.9% | 43.4% | 43.3% | 38.6% | 44.0% | 64.3% |
| 2021 | 45.3% | 45.8% | 43.9% | 47.8% | 46.0% | 44.6% | 41.6% | 45.9% | 61.1% | ||
| Nightmares | 2019 | 11.5% | 1.9% | 11.3% | 9.9% | 14.8% | 13.0% | 9.8% | 9.7% | 11.8% | 14.3% |
| 2021 | 13.4% | 14.4% | 11.3% | 16.7% | 15.1% | 11.5% | 12.1% | 13.6% | 19.4% | ||
| Norway (n) | 2019 | 1133 | 508 | 566 | 59 | 348 | 785 |
109 235 |
959 834 |
65 64 |
|
| 2021 | |||||||||||
| Dream recall | 2019 | 46.5% | 5.1% | 53.1% | 41.5% | 37.3% | 41.4% | 48.8% | 55.0% | 44.2% | 66.2% |
| 2021 | 51.6% | 66.3% | 39.8% | 39.0% | 47.4% | 53.5% | 52.8% | 50.2% | 65.6% | ||
| Nightmares | 2019 | 6.5% | 3.6% | 8.1% | 5.5% | 3.4% | 3.7% | 7.8% | 15.6% | 4.5% | 21.5% |
| 2021 | 10.1% | 14.2% | 6.7% | 6.8% | 6.6% | 11.6% | 21.7% | 5.8% | 23.4% | ||
| Portugal (n) | 2019 | 674 | 252 | 392 | 30 | 158 | 516 |
30 49 |
605 596 |
39 29 |
|
| 2021 | |||||||||||
| Dream recall | 2019 | 52.1% | 4.7% | 58.7% | 48.5% | 43.3% | 53.2% | 51.7% | 60.0% | 51.1% | 61.5% |
| 2021 | 56.8% | 68.7% | 49.5% | 53.3% | 52.5% | 58.1% | 57.1% | 55.7% | 79.3% | ||
| Nightmares | 2019 | 4.6% | 4.3% | 6.7% | 3.6% | 0.0% | 1.3% | 5.6% | 13.3% | 4.0% | 7.7% |
| 2021 | 8.9% | 12.7% | 6.9% | 3.3% | 7.6% | 9.3% | 18.4% | 7.7% | 17.2% | ||
| Sweden (n) | 2019 | 969 | 113 | 579 | 277 | 107 | 862 |
52 106 |
879 801 |
38 62 |
|
| 2021 | |||||||||||
| Dream recall | 2019 | 57.3% | 3.8% | 58.4% | 56.3% | 58.8% | 57.0% | 57.3% | 65.4% | 56.3% | 68.4% |
| 2021 | 61.1% | 69.9% | 58.5% | 62.8% | 67.3% | 60.3% | 55.7% | 61.2% | 69.4% | ||
| Nightmares | 2019 | 5.9% | 4.7% | 11.5% | 5.5% | 4.3% | 6.5% | 5.8% | 15.4% | 4.9% | 15.8% |
| 2021 | 10.6% | 12.4% | 12.3% | 6.5% | 12.1% | 10.4% | 17.9% | 8.6% | 24.2% | ||
| USA (n) | 2019 | 930 | 912 | 18 | 0 | 265 | 665 |
58 129 |
785 766 |
87 35 |
|
| 2021 | |||||||||||
| Dream recall | 2019 | 65.6% | −0.9% | 65.5% | 72.2% | — | 63.0% | 66.6% | 60.3% | 65.5% | 70.1% |
| 2021 | 64.7% | 64.6% | 72.2% | — | 64.9% | 64.7% | 62.8% | 64.8% | 71.4% | ||
| Nightmares | 2019 | 14.4% | 0.1% | 14.6% | 5.6% | — | 8.7% | 16.7% | 22.4% | 14.0% | 12.6% |
| 2021 | 14.5% | 14.6% | 11.1% | — | 11.3% | 15.8% | 30.2% | 11.6% | 20.0% | ||
2019 sleep duration estimates were used for 2019 dream recall and nightmare rates, and 2021 sleep duration estimates were used for 2021 dream recall and nightmare rates.
2.2. Participants
The study sample included 15,854 participants (69.9% women) aged 18–99 years (M = 42.39, SD = 16.43). Those younger than 18 years of age were disqualified from participating. Age was categorized by young adults (ages 18–34, 37.0%), middle‐aged adults (ages 35–64, 51.5%) and older adults (age ≥ 65, 11.5%).
2.3. Measures
2.3.1. Frequent Dream Recall and Nightmares
Participants' frequency of dream recall was assessed by asking, ‘How often were you dreaming while sleeping BEFORE the pandemic?’ and ‘How often do you have dreams while sleeping CURRENTLY?’ Nightmares were assessed similarly by asking respondents, ‘How often did you have nightmares BEFORE the pandemic (say, in 2019)’ and ‘How often do you have nightmares CURRENTLY?’ Response options for these four questions included: ‘Never or less frequently than once per month’, ‘Less than once per week’, ‘On 1–2 days per week’, ‘On 3–5 days per week’, and ‘Daily or almost daily’. Participants were then dichotomized as having either infrequent (i.e., less than once per week or less) or frequent (i.e., on 1–2 days per week or more) dream recall and nightmares, as has been done in previous research (Bolstad et al. 2024).
2.3.2. Sleep Duration
Participants reported their average sleep durations in 2019 and 2021 by responding to the following questions, respectively: ‘How many hours per night did you sleep on the average BEFORE the pandemic (say, in 2019)?’ and ‘How many hours per night have you been sleeping on average CURRENTLY?’ Responses were provided in hours and minutes. Participants were then categorized in three categories for each year based on their sleep duration responses, in alignment with previous research (Bin et al. 2013): short sleepers (< 6 h), average duration sleepers (6–9 h) and long sleepers (> 9 h).
2.3.3. Statistical Analyses
Participants with a country code of ‘Other’ were excluded (n = 84). Participants who reported a total sleep time of < 2.5 h or > 16 h were deemed invalid responders and excluded (n = 90), which is in accordance with previous research (Korman et al. 2024). Missing data included 15.7%–15.8% of the dream and nightmare data, 13.5% for the sleep duration data, and no missing data were observed for gender or age. Missing data were imputed using the expectation–maximization method (Bennett 2001). Percentages were used to quantify the prevalence rates of frequent dream recall and nightmares in 2019 and 2021 across the whole sample and by country/region with consideration for differences by age, gender and sleep duration. Ad hoc linear regression models were used to examine the observed linear trend of dream recall as a function of sleep duration. Ad hoc linear and quadratic regression models also were compared for best fit to examine the apparent U‐shaped relation of nightmare frequency as a function of sleep duration. All analyses were conducted in SPSS Version 29, and results are depicted in Table 1.
3. Results
3.1. Prevalence of Frequent Dream Recall & Association With Sleep Duration
Weekly or more frequent dream recall occurred in 54.3% of participants in 2021, which was 2.9% higher than in 2019. In 2021, frequent dream recall was most common in Brazil (68.3%) and least common in Germany (39.1%). In 2019, the United States reported the highest rates of frequent dream recall (65.6%), and Germany reported the lowest (33.7%). Frequent dream recall occurred more often in younger adults than in middle‐aged or older adults. Women reported more frequent dream recall than men. Sleep duration and frequent dream recall demonstrated a linear trend, with more frequent dream recall noted with increasing sleep duration. The linear regression models confirmed this trend was significant in both 2019 (R 2 = 0.015, F[1, 15,678] = 243.57, p < 0.001) and 2021 (R 2 = 0.014, F[1, 15,678] = 223.48, p < 0.001).
3.2. Prevalence of Frequent Nightmares & Association With Sleep Duration
In the total sample, weekly or more frequent nightmares were reported by 11.0% of participants in 2021, and this was 4.1% higher than in 2019. Brazil had the highest rate of frequent nightmares in 2021 (19.0%), whereas Israel had the lowest rate (3.4%). In 2019, the United States had the highest rates of frequent nightmares (14.4%), whereas Israel continued to have the lowest prevalence of frequent nightmares (1.2%). Frequent nightmares were reported most often in younger adults, followed by older and middle‐aged adults. In 2021, women reported more frequent nightmares than men, but this finding reversed for the retrospective 2019 estimate. The prevalence of frequent nightmares demonstrated a U‐shaped trend with sleep duration, as short and long sleepers reported higher rates of frequent nightmares than participants with an average sleep duration.
To verify the apparent U‐shaped trend, linear and quadratic regression models were compared. For both years, the quadratic regression models demonstrated a better fit. The quadratic regression was better fitting for the 2019 data, R 2 = 0.007, F(2, 15,677) = 53.73, p < 0.001, than the linear regression, R 2 = 0.001, F(1, 15,678) = 9.45, p = 0.002. This was also found using the 2021 data (quadratic R 2 = 0.013, F[2, 15,677] = 102.07, p < 0.001; linear R 2 = 0.00, F[1, 15,678] = 6.16, p = 0.013).
4. Discussion
This study aimed to describe the prevalence rates of frequent dream recall and nightmares in 16 countries by age, gender and sleep duration using equivalent assessment methods. This is the first study, to our knowledge, to report on frequent dream recall and nightmare prevalence across several countries and continents using the same assessment with consideration for age, gender and sleep duration. Our findings estimated frequent nightmare prevalence to be higher than that of previous reports in countries like Germany (2.4%) (Schredl 2010), Norway (2.8%) (Bjorvatn et al. 2010), Finland (3.9%) (Sandman et al. 2015), Sweden (3.9%–6.8%) (Janson 1995) and Hong Kong (5.1%) (Li et al. 2010). This may be due to methodological differences, the COVID‐19 pandemic, increasing rates of psychopathology or declining stigma promoting reports. Rates of frequent dream recall and nightmares varied by country, which may be related to cultural or regional differences, differences in COVID‐19 rates or restrictions, or variance in comorbid factors such as symptoms of PTSD. Examination of these potential explanatory differences is beyond the scope of this short report and is limited by a lack of data on most of these variables. The relation between PTSD symptoms and frequent dream recall and nightmares in this sample has been examined elsewhere (Holzinger et al. 2022). In respect to the relation between frequent dream recall and nightmares with sleep duration, we found a linear relation between sleep duration and frequent dream recall, with more frequent dream recall observed with increasing sleep duration, whereas we replicated the U‐shaped association between frequent nightmares and sleep duration noted in past research (Sandman et al. 2015). We suspect insomnia may explain the relation between nightmares and short sleep duration, while increased REM sleep may explain the association between long sleep duration and dream recall and nightmares. Examination of these variables is beyond the scope of this brief report.
5. Limitations
One limitation of this study was the use of 2‐year retrospective self‐reported estimates of participants' dream recall and nightmare frequency as well as sleep duration. Because of this, we did not examine statistical differences between estimates of 2019 and 2021. We found it important to report findings from both 2019 and 2021, as each offers important contributions. For instance, findings from 2019 provide an estimate of frequent dream recall and nightmares before the COVID‐19 pandemic, while findings from 2021 provide current prevalence estimates during the COVID‐19 pandemic. An additional limitation was our use of convenience sampling and slight differences in recruitment strategies between countries/regions. Given these limitations, we refrained from conducting statistical comparisons between countries, opting to rather provide descriptions of the demographics in each country/region alongside the prevalence rates of frequent dream recall and nightmares. Our results are also limited by the range of variables considered, as we only examined prevalence rate differences by age, gender and sleep duration and did not examine other variables which may contribute to prevalence differences (e.g., symptoms of psychopathology, sleep problems, having COVID‐19). Finally, our findings are limited by the timing of data collection occurring during the COVID‐19 pandemic. Although this is also a strength of the study, we recognize our findings may not generalize outside the pandemic, particularly for those experiencing COVID‐19 or long‐COVID, as we have previously documented frequent nightmares are more common in those with COVID‐19 and long‐COVID (Bolstad et al. 2024). This underscores the importance of including pre‐pandemic (i.e., 2019) retrospective estimates of frequent dream recall and nightmares in this report.
6. Implications & Conclusion
These findings expand our knowledge of the prevalence of frequent dream recall and nightmares globally. Much of the previous work in this area has been conducted in European countries, often with differing assessment methods. This study provides estimates of frequent dream recall and nightmares across four continents using the same questionnaire. Further, our findings add specificity to the literature base by reporting prevalence rates of frequent dream recall and nightmares with consideration for age, gender and sleep duration. This report underscores the prevalence of nightmares broadly, but also highlights nightmare prevalence in countries/regions never examined before.
Author Contributions
Courtney J. Bolstad: conceptualization, methodology, data curation, investigation, formal analysis, supervision, visualization, project administration, resources, writing – original draft, writing – review and editing. Bjørn Bjorvatn: conceptualization, data curation, investigation, supervision, writing – review and editing. Ngan Yin Chan: methodology, data curation, project administration, writing – review and editing. Frances Chung: methodology, data curation, investigation, supervision, funding acquisition, resources, writing – review and editing. Yves Dauvilliers: data curation, investigation, writing – review and editing. Luigi De Gennaro: conceptualization, methodology, data curation, investigation, validation, supervision, writing – review and editing. Colin A. Espie: conceptualization, methodology, data curation, investigation, supervision, project administration, resources, writing – review and editing. Brigitte Holzinger: conceptualization, methodology, data curation, investigation, supervision, project administration, resources, writing – review and editing. Yuichi Inoue: data curation, writing – review and editing. Maria Korman: software, data curation, writing – review and editing. Adrijana Koscec Bjelajac: conceptualization, methodology, investigation, project administration, writing – review and editing. Anne‐Marie Landtblom: data curation, investigation, writing – review and editing. Tainá Macêdo: data curation, writing – review and editing. Kentaro Matsui: resources, writing – review and editing. Ilona Merikanto: methodology, data curation, investigation, project administration, resources, writing – review and editing. Charles M. Morin: conceptualization, methodology, data curation, investigation, supervision, project administration, resources, writing – review and editing. Sérgio Mota‐Rolim: conceptualization, investigation, writing – review and editing. Thomas Penzel: data curation, writing – review and editing. Giuseppe Plazzi: investigation, writing – review and editing. Cátia Reis: conceptualization, methodology, data curation, investigation, project administration, writing – review and editing. Serena Scarpelli: methodology, data curation, investigation, supervision, writing – review and editing. Yun Kwok Wing: conceptualization, methodology, data curation, investigation, supervision, resources, writing – review and editing. Michael R. Nadorff: conceptualization, methodology, data curation, investigation, supervision, project administration, resources, writing – review and editing.
Disclosure
Courtney J. Bolstad reports that the contents of this publication do not represent the views of the US Department of Veterans Affairs or the United States Government.
Ethics Statement
Ethical approval/exemption was sought by each principal investigator as required by their country/setting.
Conflicts of Interest
Frances Chung reports grants from the Ontario Ministry of Health Innovation Grant, the ResMed Foundation and the University Health Network Foundation, and consultation fees from Takeda Pharma, outside the submitted work. Luigi De Gennaro received fees from Idorsia, outside of the current work. Colin A. Espie reports being a shareholder in Big Health (developer of Sleepio), outside the submitted work. Yves Dauvilliers has been an AB member for Jazz, Bioprojet, Idorsia, Takeda and Orexia, outside of the current work. Giuseppe Plazzi has been an AB member for Jazz, Bioprojet, Idorsia, Takeda and Orexia, outside of the current work. Yuichi Inoue reports grants from Takeda Pharmaceutics Co and Teijin Pharma Co, and personal fees for delivering lectures from Eisai Co, Aculys Pharma Co, Astellas Co and MSD Co, outside the submitted work. Anne‐Marie Landtblom reports honoraria from Takeda, UCB, Jazz Pharma and Apo Orphan Drugs. Kentaro Matsui received speaker's honoraria from Eisai, Japan Blood Products Organization, Meiji Seika Pharma, Mitsubishi Tanabe Pharma, Mochida Pharmaceutical, MSD, Nobelpharma, Otsuka Pharmaceutical, Sumitomo Pharma and Takeda Pharmaceutical outside the submitted work. Charles M. Morin received research grants from Eisai, Idorsia and Lallemand Health; served as a consultant on advisory boards with Eisai, Idorsia and Pear Therapeutics; and received royalties from Mapi Research Trust, all outside of the submitted work. Thomas Penzel received grants from Cidelec, Löwenstein Medical and speaker fees from Bioprojet, Idorsia, Jazz Pharma, Löwenstein Medical and honoraria from Bayer Healthcare, Cerebra and Sleepimage outside the submitted work. Yun Kwok Wing reported personal fees for delivering a lecture–Eisai Co. Ltd and personal fees from Sponsorship from Lundbeck HK Ltd, outside the submitted work. The other authors declare no conflicts of interest.
Acknowledgements
The authors extend deep appreciation to all participants for their involvement in the second International COVID‐19 Sleep Study (ICOSS‐2). The authors also recognize and thank Prof. Markku Partinen for his leadership and contribution to data collection in the ICOSS‐2 collaborative. This material is based upon work as part of the Advanced Fellowship in Geriatrics, supported by the US Department of Veterans Affairs Office of Academic Affiliations, Birmingham VA Health Care System and Birmingham/Atlanta Geriatric Research Education and Clinical Center (GRECC). This work is based upon support from the Office of Academic Affiliations with resources and the use of facilities at the Birmingham VA Health Care System in Birmingham, AL, USA.
Bolstad, C. J. , Bjorvatn B., Chan N. Y., et al. 2026. “Prevalence Rates of Frequent Dream Recall and Nightmares by Age, Gender and Sleep Duration in 16 Countries.” Journal of Sleep Research 35, no. 1: e70070. 10.1111/jsr.70070.
Funding: The authors received no specific funding for this work.
Data Availability Statement
The data that support the findings of this study are available from the corresponding author upon reasonable request.
References
- Bennett, D. A. 2001. “How Can I Deal With Missing Data in My Study?” Australian and New Zealand Journal of Public Health 25, no. 5: 464–469. 10.1111/j.1467-842X.2001.tb00294.x. [DOI] [PubMed] [Google Scholar]
- Bin, Y. S. , Marshall N. S., and Glozier N.. 2013. “Sleeping at the Limits: The Changing Prevalence of Short and Long Sleep Durations in 10 Countries.” American Journal of Epidemiology 177, no. 8: 826–833. 10.1093/aje/kws308. [DOI] [PubMed] [Google Scholar]
- Bjorvatn, B. , Grønli J., and Pallesen S.. 2010. “Prevalence of Different Parasomnias in the General Population.” Sleep Medicine 11, no. 10: 1031–1034. 10.1016/j.sleep.2010.07.011. [DOI] [PubMed] [Google Scholar]
- Bolstad, C. J. , Holzinger B., Scarpelli S., et al. 2024. “Nightmare Frequency Is a Risk Factor for Suicidal Ideation During the COVID‐19 Pandemic.” Journal of Sleep Research 33, no. 5: e14165. 10.1111/jsr.14165. [DOI] [PubMed] [Google Scholar]
- Fränkl, E. , Scarpelli S., Nadorff M. R., et al. 2021. “How Our Dreams Changed During the COVID‐19 Pandemic: Effects and Correlates of Dream Recall Frequency—A Multinational Study on 19,355 Adults.” Nature and Science of Sleep 13: 1573–1591. 10.2147/NSS.S324142. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Holzinger, B. , Nierwetberg F., Chung F., et al. 2022. “Has the COVID‐19 Pandemic Traumatized Us Collectively? The Impact of the COVID‐19 Pandemic on Mental Health and Sleep Factors via Traumatization: A Multinational Survey.” Nature and Science of Sleep 14: 1469–1483. 10.2147/NSS.S368147. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Janson, C. 1995. “Prevalence of Sleep Disturbances Among Young Adults in Three European Countries.” Sleep 18, no. 7: 589–597. 10.1093/sleep/18.7.589. [DOI] [PubMed] [Google Scholar]
- Korman, M. , Zarina D., Tkachev V., et al. 2024. “Estimation Bias and Agreement Limits Between Two Common Self‐Report Methods of Habitual Sleep Duration in Epidemiological Surveys.” Scientific Reports 14: 3420. 10.1038/s41598-024-53174-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Li, S. X. , Zhang B., Li A. M., and Wing Y. K.. 2010. “Prevalence and Correlates of Frequent Nightmares: A Community‐Based 2‐Phase Study.” Sleep 33, no. 6: 774–780. 10.1093/sleep/33.6.774. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Merikanto, I. , Dauvilliers Y., Chung F., et al. 2022. “Disturbances in Sleep, Circadian Rhythms and Daytime Functioning in Relation to Coronavirus Infection and Long‐COVID—A Multinational ICOSS Study.” Journal of Sleep Research 31, no. 4: e13542. 10.1111/jsr.13542. [DOI] [PubMed] [Google Scholar]
- Sandman, N. , Valli K., Kronholm E., et al. 2013. “Nightmares: Prevalence Among the Finnish General Adult Population and War Veterans During 1972‐2007.” Sleep 36, no. 7: 1041–1050. 10.5665/sleep.2806. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sandman, N. , Valli K., Kronholm E., Revonsuo A., Laatikainen T., and Paunio T.. 2015. “Nightmares: Risk Factors Among the Finnish General Adult Population.” Sleep 38, no. 4: 507–514. 10.5665/sleep.4560. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Schredl, M. 2010. “Nightmare Frequency and Nightmare Topics in a Representative German Sample.” European Archives of Psychiatry and Clinical Neuroscience 260, no. 8: 565–570. 10.1007/s00406-010-0112-3. [DOI] [PubMed] [Google Scholar]
- Schredl, M. , Remedios A., Marin‐Dragu S., et al. 2022. “Dream Recall Frequency, Lucid Dream Frequency, and Personality During the Covid‐19 Pandemic.” Imagination, Cognition and Personality 42, no. 2: 113–133. 10.1177/02762366221104214. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The data that support the findings of this study are available from the corresponding author upon reasonable request.
