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. 2023 Jan 13:1–5. Online ahead of print. doi: 10.1007/s41782-023-00225-8

Impact of Sleep Pattern of Pharmacy College Students on Academic Performance

Abrar K Thabit 1,, Abduljawad A Alsulami 1
PMCID: PMC9838445  PMID: 36683877

Abstract

Purpose

Disrupted sleep pattern has shown to impact the mental health of medical sciences students. However, few studies assessed its association with academic performance, and the impact of other factors among pharmacy students. This study aimed to evaluate the relationship between different sleep pattern variables and academic performance among pharmacy students.

Methods

A cross-sectional study using self-administered survey was distributed to all students at a large pharmacy college in Saudi Arabia between November 2020 and February 2021. The students were asked to answer based on their sleep pattern and academic performance in the previous year of 2019–2020 (before COVID-19 lockdown).

Results

237 students completed the survey. Shorter sleeps before exams and taking medicines for insomnia were significantly associated with failing at least one course (adjOR = 0.78 and 3.68; 95% CI 0.63–0.97 and 1.18–11.49; P = 0.028 and 0.025, respectively). As such, for each extra hour of sleep/night on exam nights, there is a 0.22 lower odd of failing at least one course, and taking insomnia medications increases the odds of failing by 3.68 times. Fewer sleep hours were significantly correlated with tiredness upon wake up, daytime sleepiness, and in-class sleepiness (rs = − 0.24, − 0.38, and − 0.24, respectively; P ≤ 0.001 for all correlations).

Conclusions

Disrupted sleep pattern negatively impacted the academic performance of pharmacy students. Getting sufficient quality sleep, especially before exams, maybe associated with better performance and lower odds of course failures. College administrators should encourage good sleep hygiene to their students and pair the recommendations with evidence on the impact of sleep on academic performance.

Keywords: Students, Sleep, Academic performance, Pharmacy education

Introduction

Sleep disruption is defined as a curtailed sleep pattern that has persisted for at least 3 months for most days of the week, along with complaints of sleepiness during the day. Frequently occurring episodes of insufficient sleep are associated with the experience of unfavorable impacts on mental and physical well-being [1]. Adequate sleep affects mental functioning optimally, and therefore, affects the performance of students on examinations and ultimately grades obtained [2]. Sleep is often difficult for medical students because of the large amount of learning they need to do [3]. Cognitive performance is prone to inadequate periods of sleep, defined as less than 7 h per day for adults [4]. Inadequate sleep reduces general alertness and impairs attention, leading to decreased cognitive processing [5].

The sleep pattern one experiences over a 24-h period correlates directly with physical health, mood, and mental functioning [6]. Sleep problems among pharmacy students have been reported and have been associated with decreased academic performance [7]. Epidemiological data on poor sleep patterns in different countries were found to vary between studies based on the methods used and population characteristics, including marital status, gender, age, and culture [3]. The prevalence of poor sleep patterns among female medical students was found to be particularly high in a similar local study [5]. Poor sleep quality affects students' academic performance as their attention span and decreases the overall classroom energy to participate and learn [8]. Insufficient sleep affects alertness and leads to a decrease in attention, thereby slowing down cognitive processing. Furthermore, inadequate sleep interferes with the function of the prefrontal cortex and hippocampus, affecting memory, language, creativity, and logical and critical reasoning. Therefore, the academic performance of students may be compromised, thus increasing the risk of future medical malpractice and maltreatment [4].

Very few studies in the literature evaluated the link between sleep pattern and academic performance among students of medical or health sciences colleges. Therefore, this study aimed to evaluate such relationship among students attending a large college of pharmacy.

Methods

Study Design and Participants

We carried out a cross-sectional study to assess the sleep pattern of pharmacy college students at a large university in Saudi Arabia and to correlate such findings with the students’ academic performance in terms of failing at least one course in the previous year and the grade point average (GPA). An online self-administered survey containing 19 questions was distributed to all pharmacy students from the second to the sixth year (internship year) of the Doctor of Pharmacy program from November 2020 to February 2021. First year students were enrolled in a preparatory/pre-med program in a different campus; hence, they were not approached. The students were asked to answer the survey based on their sleep pattern and academic performance in the previous academic year of 2019–2020 (before COVID-19 lockdown). Ethical approval was obtained from the Research Ethics Committee at the Faculty of Pharmacy.

Statistical Analysis

Based on an estimated total number of students of 600 enrolled students, a sample size of 235 students was needed as a representative sample to achieve 95% confidence level with 5% margin of error. To estimate the association between different variables with the outcome of failing at least once course in the previous year, multivariate logistic regression was conducted to calculate adjusted odds ratios (adjOR) and 95% confidence intervals (CI). Hosmer–Lemeshow test was used to establish the goodness-of-fit of the model, and omnibus test of model coefficients was used to establish the significance of the model. Two-tailed Spearman correlation was used to measure the correlation of sleep pattern with the GPA group, tiredness upon waking up, daytime sleepiness, and in-class sleepiness (i.e., ordinal variables). Spearman correlation was selected as the continuous variables (sleep hours, sleep hours before exams, and number of weekly naps) were not normally distributed as determined by Shapiro–Wilk test of normality. Significance was indicated with a P value of < 0.05. All analyses were conducted on SPSS version 24.0 (SPSS Inc., Chicago, USA).

Results

A total of 237 students completed the survey, of whom 63.7% were males. The majority of the participants were in the second year (28.3%) followed by the fifth (26.6%) and fourth (20.3%) years. No difference was observed in the number of hours slept between all academic years. Table 1 lists the characteristics of the participants and their overall academic performance. Only 19 (8%) of the students reported taking a prescription medicine for insomnia or narcolepsy. Sleep patterns of the surveyed students appear in Table 2, where students reported later bedtimes; thus, shorter night sleeps on exam nights compared with their typical routines. While no significant correlation was found between the GPA and different sleep patterns, sleeping less hours before exam days, taking prescription medicine for insomnia, and more frequent daytime napping during the week were significantly associated with failing at least one course in the previous year (adjOR = 0.78, 3.68, 1.27; 95% CI 0.63–0.97, 1.18–11.49, and 1.02–1.58; P = 0.028, 0.025, and 0.030, respectively) as shown in Table 3.

Table 1.

Characteristics of the participants (n = 237)

Charactersitic N (%)
Age
 < 20 years 69 (29.1)
 ≥ 20 years 168 (70.9)
Gender, male 151 (63.7)
Academic year
 Second 67 (28.3)
 Third 31 (13.1)
 Fourth 48 (20.3)
 Fifth 63 (26.6)
 Sixth 28 (11.8)
GPAa
 < 2.50 4 (1.7)
 2.51–3.00 16 (6.8)
 3.01–3.50 19 (8)
 3.51–4.00 19 (8)
 4.01–4.50 47 (19.8)
 4.51–5.00 48 (20.3)
10.3 (43.5)
Failed at least one course in the previous year 51 (21.5)
Take prescription medicine for sleep 19 (8)

GPA grade point average

aGPA is based of 5 points

Table 2.

Sleep pattern of pharmacy college students (n = 237)

Sleep characteristic N (%) or Median [IQR]
Bedtime
 Before 9 pm 20 (8.4)
 Between 9 pm and 12 am 66 (27.8)
 After 12 am 151 (63.7)
Wake up time
 Before 5 am 19 (8)
 Between 5 and 8 am 150 (63.3)
 Between 8 and 11 am 46 (19.4)
 After 11 am 22 (9.3)
Hours of sleep per night 6 [3]
Frequency of daytime napping during the week 1 [2]
Late bedtime than usual on exam nights
 Always 130 (54.9)
 Sometimes 73 (30.8)
 Never/almost never 34 (14.3)
Early wake up than usual on exam days
 Always 176 (74.3)
 Sometimes 48 (20.3)
 Never/almost never 13 (5.5)
Hours of sleep per night on exam nights 4 [2]
Tired upon waking up
 Always 72 (30.4)
 3–5 times a week 76 (32.1)
 Once to twice a week 79 (33.3)
 Never/almost never 10 (4.2)
Daytime sleepiness
 Always 55 (23.2)
 3–5 times a week 65 (27.4)
 Once to twice a week 96 (40.5)
 Never/almost never 21 (8.9)
In-class sleepiness
 Always 53 (22.4)
 3–5 times a week 55 (23.2)
 Once to twice a week 102 (43)
 Never/almost never 27 (11.4)

IQR interquartile range

Table 3.

Association between different variables and failing at least one course in the previous year

Factor AdjOR 95% Confidence interval P Value
Age
 ≥ 20 years 1.16 0.46–2.92 0.750
 < 20 years Ref Ref Ref
Gender
 Male 4.55 1.76–11.78 0.002
 Female Ref Ref Ref
Academic year
 Second 1.20 0.34–4.20 0.773
 Third 3.92 1.02–15.04 0.047
 Fourth 2.35 0.65–8.46 0.191
 Fifth 1.11 0.31–3.91 0.873
 Sixth Ref Ref Ref
Take prescription medicine for sleep 3.68 1.18–11.49 0.025
Hours of sleep per night 1.07 0.89–1.29 0.469
Frequency of daytime napping during the week 1.27 1.02–1.58 0.030
Hours of sleep per night on exam nights 0.78 0.63–0.97 0.028
Tired upon waking upa
 Always 0.77 0.26–2.26 0.637
 3–5 times a week 0.48 0.20–1.16 0.101
 Once to twice a week Ref Ref Ref
Daytime sleepiness
 Always 5.35 0.58–49.70 0.140
 3–5 times a week 5.91 0.58–59.95 0.133
 Once to twice a week 6.47 0.58–72.55 0.130
 Never/almost never Ref Ref Ref
In-class sleepiness
 Always 0.33 0.09–1.20 0.093
 3–5 times a week 0.24 0.06–1.01 0.052
 Once to twice a week 0.24 0.05–1.05 0.058
 Never/almost never Ref Ref Ref

AdjOR adjusted odds ratio

aDue to having a value of zero in the number of students who failed at least one course and never/almost never have been tired upon waking up, this category was eliminated from the regression analysis to allow for appropriate computation of adjORs for the other categories using “Once to twice a week” as a reference

Moreover, fewer hours of sleep per night (or later bedtime) were significantly associated with tiredness upon wake up, daytime sleepiness, and in-class sleepiness (rs = − 0.24, − 0.38, and − 0.24, respectively; P ≤ 0.001 for all correlations). Unsurprisingly, students taking prescription medicines for insomnia reported more in-class sleepiness (rs = 0.13; P = 0.044, respectively). Regarding the frequency of napping during the week, being a male, sleeping later at night, and having sleepiness during class were all significantly associated with more frequent naps during the week (rs = 0.19, 0.18, and 0.20; P = 0.004, 0.006, and 0.002, respectively).

Discussion

This study evaluated the correlation of sleep pattern of pharmacy students in one of the largest pharmacy schools in Saudi Arabia with their academic performance in terms of GPA and course failure. Although no correlation was observed between daily and pre-exam sleep pattern with the GPA, significant associations were noticed between poor sleep before exams and frequent weekly daytime napping with course failure. Similar findings were reported in a study by Al Shammari, et al. who evaluated the impact of sleep quality on academic performance of Saudi medical students [7]. In their study, the authors found a significant association between poor sleep quality and excessive daytime sleepiness with poor academic achievement (adjOR = 3.33 and 4.58; 95%CI 1.28–8.63 and 1.09–20.81, respectively).

It is well-recognized that medical schools put significant demands on students' attention, and these results suggest that this time is taken from the students' sleeping hours. A study by Curcio et al. reported that sleep quality and quantity are closely related to student learning and academic performance [6]. Faculty members should pay attention to sleep deprivation in pharmacy students. Previous findings have shown that sleep loss leads to sleep-related problems, such as diabetes, cardiovascular disease, and reduced cognitive function and well-being, in addition to daytime fatigue and low academic success [9]. Colleges should work on raising students’ awareness of the possible effects of their sleeping habits on their academic performance. Such guidance should be given to freshmen during their orientation, and it could include results of studies evaluating the impact of sleep pattern on academic performance, as well as recommendations for establishing good sleep hygiene. This knowledge of beneficial sleep behaviors may enable students to improve sleep habits that will carry over into their professional careers.

Rea et al. collected data from 654 college students regarding sleep patterns, where they found that shorter night sleeps were associated with longer napping the following day [10]. Such finding is similar to our finding of the higher probability of more frequent napping with later bedtimes. Furthermore, a study by Rotvold, et al. showed that college students slept for more hours than usual compared to pre-COVID-19 periods (44.3% compared with 36.4% reporting about the same sleep pattern and 13.6% reporting fewer than usual hours; P < 0.001) [11]. The authors also found that sleeping for additional hours at night was slightly, but significantly, associated with frequent night wake ups, which may impact sleep quality.

Our study was limited by a few factors. It was conducted at a single college, which may limit its generalizability. The study also lacked evaluation of sleep quality, since academic performance can be impacted by both sleep quality and quantity [12]. In addition, we asked the students to remember their sleep habits over the course of the prior two semesters, which may lead to a recall error. Finally, the cross-sectional nature of this study impeded creating a causal association between sleep duration and academic performance at the end of the academic year. Finally, since this was a self-administered survey, it was prone to recall bias, as well as prestige bias in terms of GPA exaggeration or in terms of reporting course failure.

Conclusion

Getting sufficient quality sleep, especially before exam days, as well as establishing a year-round good sleep habits to reduce the need for daytime napping may be associated with better academic performance and lower risk of course failures. College administrators should encourage good sleep hygiene to their students and pair the recommendations with evidence on the impact of sleep on academic performance.

Acknowledgements

We thank Ahmed Alghamdi, Wesam Shaikh Omar, Abdulrahman Alghamdi, and Ahmed Alrifi for their help in distributing the survey and collecting responses.

Data availability

Data used in this study are available from the corresponding author upon request.

Declarations

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

The study was approved by the Research Ethics Committee of the Faculty of Pharmacy.

Informed Consent

Informed consent was obtained through the study survey.

Footnotes

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

Data used in this study are available from the corresponding author upon request.


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