Home Association of chronotype pattern on the quality of sleep and anxiety among medical undergraduates – a cross-sectional study
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Association of chronotype pattern on the quality of sleep and anxiety among medical undergraduates – a cross-sectional study

  • Hargun Kaur Khaira , Sonia Kochhar ORCID logo EMAIL logo , Jitender Aneja , Madhur Verma ORCID logo , Rajathi Rajendran and Anupinder Thind
Published/Copyright: February 26, 2025

Abstract

Objectives

This study aims to explore the relationship between chronotypes, sleep quality, and anxiety among medical undergraduates, providing valuable insights for academic institutions seeking to enhance student well-being.

Methods

A cross-sectional design was used, involving 200 medical undergraduates who were selected based on specific inclusion and exclusion criteria. Data collection included comprehensive clinical histories and the administration of three validated questionnaires: the Morningness-Eveningness Questionnaire Self-Assessment (MEQ-SA), the Pittsburgh Sleep Quality Index (PSQI), and the State-Trait Anxiety Inventory (STAI). Participants were recruited during class breaks, and informed consent was obtained prior to participation.

Results

The majority of participants (76.5 %; n=152) exhibited a neutral chronotype, with a mean MEQ score of 50.18 (±7.781). No significant correlations were found between MEQ scores and variables such as sex, BMI, or electronic media use. However, individuals classified as evening types reported higher anxiety levels, with mean STAI-S and STAI-T scores of 56.09 (±4.566) and 49.09 (±6.202), respectively (ANOVA, F=31.798, p=0.001; F=30.294, p=0.001). The mean global PSQI score was 6.00 (±2.553), with 56 % of participants reporting poor sleep quality. Evening chronotypes had significantly poorer sleep quality, as evidenced by higher PSQI scores (8.14±1.670) (ANOVA, F=43.663, p=0.001).

Conclusions

The findings underscore the need for academic institutions to reconsider the alignment of academic schedules with students’ chronotypes, potentially enhancing academic performance and reducing health risks. Despite these contributions, the study has limitations, including geographical and demographic constraints and reliance on self-reported data, suggesting the need for further research to provide more comprehensive insights.

Introduction

Chronotype represents the natural variations in the circadian rhythm, regulated by the suprachiasmatic nucleus of the hypothalamus, which controls melatonin secretion by the pineal gland [1], 2]. Light’s influence on circadian rhythms is mediated by rods, cones, and melanopsin-containing intrinsically photosensitive retinal ganglion cells (ipRGCs) [3]. However, the effects of artificial lighting are substantial and cannot be overlooked [4]. Broadly, individuals are classified as morning types (larks), evening types (owls), or intermediates, with significant variability observed [5], 6].

An evening chronotype is increasingly recognized as a correlate of mental illnesses such as anxiety, depression, and eating disorders [7], [8], [9]. Furthermore, it is linked to health conditions like obesity, sleep apnea, and cardiovascular diseases [10]. Behavioral and emotional issues, including aggression and antisocial tendencies, are also reported among evening types, particularly in younger populations [11]. Poor sleep quality and unhealthy lifestyles during adolescence are considered critical markers of future health risks [12].

College students, particularly medical undergraduates, often experience disrupted sleep patterns due to demanding academic schedules, leading to social jetlag (mismatch between biological and societal clocks) and heightened mental health concerns [13], 14]. Such disruptions negatively impact academic performance [15], with social jetlag especially affecting females [16]. High levels of anxiety, stress, depression, and substance abuse have been reported among adolescents in northern India [17], 18]. Evening chronotypes are also associated with substance abuse behaviors [19], 20].

Chronotherapeutic approaches, including interventions like blue light therapy and pharmacological agents such as agomelatine, aim to realign circadian rhythms to improve mental health outcomes [21], 22]. Encouraging evening types to adopt morning chronotypes has shown significant improvements in mental health [23], 24]. Additionally, restricting bedtime mobile phone use, which promotes eveningness, could positively impact sleep and mental health [25].

Adjusting institutional schedules to align with students’ natural chronotypes has been proposed to improve academic outcomes [26]. Since evening chronotypes are often associated with poorer mental health and academic performance [27], hence this present study is conceived to investigate the chronotype patterns among medical undergraduate students and assess their correlation with anxiety and sleep disorders.

Materials and methods

Study design and setting

This research employed an observational, cross-sectional study design and was conducted within the premises of the Department of Physiology, All India Institute of Medical Sciences, (Punjab), India.

Study participants

A total of 200 medical undergraduate students participated in this study.

Study participants, and sample size

Medical undergraduate students between 18–25 years participated in this study. Participation was purely on a voluntary basis. Students with documented sleep disorders, oronasal diseases, head injuries, or those unwilling to participate were excluded. Additionally, participants with chronic illnesses such as diabetes, hypertension, chronic respiratory conditions, or a history of psychiatric diagnoses, as well as those on controlled medications, were purposively excluded from the study. The sample size of 200 was determined using the single population proportion formula, based on an anticipated prevalence of neutral chronotype in college students, to be around 51.6 % according to previous research [6]. A confidence interval of 80 % and a relative error of 7 % were considered in the calculation.

Data collection

Using a convenience sampling method, students were approached during class breaks and provided with comprehensive information regarding the research. After familiarizing them with the study objectives and requirements, written informed consent was obtained. Participants were then assessed using a pre-formed proforma, which included questions regarding the type and duration of electronic media usage, particularly at bedtime, as well as the timing of dinner, tobacco chewing/smoking, and alcohol consumption. All questions were answered subjectively.

Subsequently, participants were instructed on how to accurately complete the questionnaires. A unique code was assigned to each participant to maintain anonymity. The Morningness-Eveningness Questionnaire Self-Assessment (MEQ-SA), the Pittsburgh Sleep Quality Index (PSQI), and the State-Trait Anxiety Inventory (STAI) were administered in a quiet room to minimize distractions. Participants were given ample time to complete the questionnaires.

The MEQ-SA is instrumental in classifying participants into one of three chronotype categories: morning, evening, or intermediate. This 19-item questionnaire assesses preferred activity times, including wake-up times, mental and physical peak periods, and wind-down times. The MEQ-SA employs a weighted scoring system, with total scores ranging from 16 to 86.

These scores are then categorized into Morning type, Intermediate type, or Evening type based on predefined cut-off values such as Morning type (59–86), Intermediate type (42–58), and Evening type (16–41). The MEQ-SA boasts a high Cronbach’s alpha of over 0.80, indicating its reliability. It has been widely validated across different age groups and cultural backgrounds, making it a robust tool for this study [28], 29]. The second questionnaire employed is the Pittsburgh Sleep Quality Index (PSQI), aimed at providing a comprehensive assessment of sleep quality over the past month. The PSQI contains 19 self-rated questions and five rated by roommates or bed partners, if applicable. These are grouped into seven ‘component’ scores. Each of the seven component scores ranges from 0 to 3, and they are summed to produce a global score ranging from 0 to 21. A global PSQI score greater than 5 indicates poor sleep quality, thus alerting researchers to potential sleep disorders. With a diagnostic sensitivity of 89.6 % and specificity of 86.5 %, along with a Cronbach’s alpha of 0.83, the PSQI is a reliable and valid instrument for gauging sleep quality [30]. Lastly, the State-Trait Anxiety Inventory (STAI) is used to differentiate between the temporary condition of “state anxiety” and the more long-standing “trait anxiety.” This self-report tool consists of 40 items, divided into two sections of 20 questions, designed to measure both state and trait anxiety. Each question is rated on a 4-point scale, allowing for total scores ranging from 20 to 80 for each type of anxiety. These scores are then categorized into low (20–39), moderate (40–59), and high (60–80) levels of anxiety. With a Cronbach’s alpha ranging between 0.86 and 0.95, the STAI serves as a highly reliable and valid tool for measuring fluctuating levels of anxiety [31], 32].

Statistical analysis

Descriptive statistics were employed to summarize the data, including measures of central tendency (mean±SD), range, and frequencies. The Kolmogorov-Smirnov test was used to assess the normality of data distribution. Comparisons of quantitative variables between groups were performed using one-way analysis of variance (ANOVA). For categorical data, the Chi-square test and Fisher’s exact test were applied, as appropriate. Pearson’s correlation coefficient was utilized to explore the relationships between the Morningness-Eveningness Questionnaire (MEQ) scores, the Pittsburgh Sleep Quality Index (PSQI) scores, and the State-Trait Anxiety Inventory (STAI) scores. All statistical analyses were conducted using the licensed version of the Statistical Package for the Social Sciences (SPSS), version 26 for Windows.

Ethical approval

The research study obtained ethical approval from the Institutional Ethics Committee (Ethics Number: IEC/AIIMS/BTI/211, dated 26th August 2022) of the All India Institute of Medical Sciences Bathinda (Punjab), India. Prior to participation, all participants provided written informed consent. Furthermore, participants with elevated State-Trait Anxiety Inventory (STAI) scores were referred to the Psychiatry Outpatient Department (OPD) for further evaluation and care.

Results

In our study involving 200 Indian medical students with a mean age of 20.02 (±1.150) years, we observed that the majority of participants (76.5 %; n=152) exhibited a Neutral chronotype, as assessed by the Morningness-Eveningness Questionnaire (MEQ), with a mean score of 50.18 (±7.781) (Table 1). The gender distribution was nearly balanced, with 46 % females (n=92) and 54 % males (n=108). The prevalence of the Neutral chronotype remained consistent across various demographic and lifestyle factors, including urban vs. rural residency, body mass index (BMI), and sleep quality (Table 1).

Table 1:

Distribution of participants as per their chronotype segregated by various socio-demographic, anthropometric and behavioural profile of study participants.

Chronotype
Total n (Col %) Morning type n (Col %) Evening type n (Col %) Neutral type n (Col %)
Total n=200 n=25 n=23 n=152

Gender

Male 108 (54.0) 16 (64.0) 11 (47.8) 81 (53.3)
Female 92 (46.0) 9 (36.0) 12 (52.2) 71 (46.7)

Place of resident

Urban 141 (70.5) 19 (76.0) 16 (69.6) 106 (69.7)
Rural 59 (29.5) 6 (24.0) 7 (30.4) 46 (30.3)

Body mass index

Underweight (<18.5) 133 (66.5) 15 (60.0) 15 (65.2) 103 (67.8)
Underweight or normal (<22.9) 67 (33.5) 10 (40.0) 8 (34.8) 49 (32.2)

Perceived sleep quality

Good 163 (81.5) 16 (64.0) 22 (95.7) 125 (82.2)
Poor 37 (18.5) 9 (36.0) 1 (4.3) 27 (17.8)

Perceived physical activity

Inactive 12 (6.0) 0 (0) 2 (8.7) 10 (6.6)
Minimally active 147 (73.5) 19 (76.0) 16 (69.6) 112 (73.7)
Active 41(20.5) 6 (24.0) 5 (21.7) 30 (19.7)

Hours of electronic media use per week

>14 h 177 (88.5) 21 (84.0) 22 (95.7) 134 (88.2)
<14 h 23 (11.5) 4 (16.0) 1 (4.3) 18 (11.8)

Electronic media use at bed time

Yes 169 (84.5) 22 (88.0) 16 (69.6) 131 (86.2)
No 31 (15.5) 3 (12.0) 7 (30.4) 21 (13.8)

Timing of dinner

Before 9 pm 154 (77.0) 20 (80.0) 17 (73.9) 117 (77.0)
After 9 pm 46 (23.0) 5 (20.0) 6 (26.1) 35 (23.0)
  1. Chi-square test was carried out according to data distribution.

No significant correlations were found between MEQ scores and variables such as sex, BMI, and electronic media use. However, individuals classified as evening types exhibited significantly higher anxiety levels, as measured by the State-Trait Anxiety Inventory (STAI-S and STAI-T), with mean scores of 56.09 (±4.566) and 49.09 (±6.202), respectively, compared to those with morning and Neutral chronotypes (ANOVA, F=31.798, p=0.001; F=30.294, p=0.001). These findings suggest a negative association between lower MEQ scores and higher anxiety levels (STAI-S rho=−0.497; STAI-T rho=−0.513; p=0.001 for both) (Figure 1).

Figure 1: 
Comparison of mean STAI-S score and STAI-T score of morning type, evening type, and neither type individuals.
Figure 1:

Comparison of mean STAI-S score and STAI-T score of morning type, evening type, and neither type individuals.

The mean global Pittsburgh Sleep Quality Index (PSQI) score was 6.00 (±2.553), with 56 % of participants reporting poor sleep quality. Evening chronotypes were found to have significantly worse sleep quality, as evidenced by higher PSQI scores (8.14±1.670) compared to morning and Neutral types (ANOVA, F=43.663, p=0.001). PSQI scores showed a negative correlation with MEQ scores (rho=−0.320; p=0.001) and a positive correlation with both STAI-S and STAI-T scores (rho=0.268, p=0.001; rho=0.195, p=0.006) (Table 2).

Table 2:

Rho Pearson coefficients and corresponding p-values of PSQI vs. STAI-S, PSQI vs. STAI-T, PSQI vs. MEQ, MEQ vs. STAI-S, MEQ vs. STAI-T.

Scores STAI-S STAT-T MEQ
r (p) r (p) r (p)
PSQI 0.268 (0.001) 0.195 (0.006) −0.320 (0.001)
MEQ −0.497 (0.001) −0.513 (0.001) 1
  1. Pearson’s correlation was done to assess the correlation between the parameters. p<0.05 is considered to be a significant.

Discussion

Our exploration of chronotype distribution among Indian medical undergraduates provides an in-depth analysis of its diverse effects on mental health and sleep quality – two critical factors influencing academic success and overall well-being. The findings indicated that most participants fell into the ‘neutral’ chronotype category, which might reflect an ongoing period of adjustment, particularly among early-year students transitioning from structured school schedules to the more demanding routines of medical education. This transitional phase often brings challenges such as disrupted sleep patterns and heightened stress levels. Similar trends have been observed in international studies, including one conducted in Brazil [6], 13], 33]. This group, typically less aware of the role chronotype plays in well-being, constitutes a vulnerable population requiring targeted interventions [34].

Notably, as per the previous studies, students with an ‘evening’ chronotype reported significantly higher levels of anxiety and poorer sleep quality [35], which is especially concerning given the already rigorous nature of medical training. Evening chronotypes, who naturally prefer later sleep and wake times, often experience ‘social jetlag’ due to misalignment with societal schedules, leading to compromised sleep and elevated stress levels [16]. This highlights the necessity of introducing educational initiatives that promote sleep hygiene and raise awareness about the impact of chronotype on mental health [24].

From a policy standpoint, these findings hold significant implications. Academic schedules that better accommodate evening chronotypes could yield substantial benefits. For example, even modest adjustments, such as delaying class start times by an hour, have been shown to enhance academic performance and attendance [17]. Such changes could improve not only educational outcomes but also reduce stress and anxiety levels.

Additionally, evening chronotypes face a higher risk of engaging in antisocial behaviors and substance abuse [10], 11]. Therapeutic approaches like chronotherapy and blue light therapy offer promising solutions for correcting circadian rhythm misalignments, thereby fostering better mental health. These findings support the need for the National Medical Commission (NMC) to reconsider conventional scheduling practices. Aligning academic schedules more closely with students’ natural rhythms could significantly mitigate social jetlag, enhance academic performance, and improve mental well-being among evening chronotypes.

Furthermore, our study underscores the importance of educational programs that focus on sleep hygiene and chronotype awareness, empowering students to make informed decisions about their sleep and mental health. Such proactive interventions could play a pivotal role in safeguarding the health and productivity of future medical professionals.

Limitations

The nature of our study, limits the ability to draw causal inferences, underscoring the need for longitudinal studies to establish more definitive conclusions. Additionally, the study was conducted at a single academic institution, which restricts the generalizability of the findings to broader populations or different educational environments. This institutional focus may introduce selection bias, potentially skewing the results in ways that would not apply in more diverse academic settings. Furthermore, the reliance on self-reported data through questionnaires introduces the possibility of reporting bias, as participants may inaccurately recall or potentially understate or exaggerate their conditions.

Conclusions

Most medical students fall in neither/intermediate category of chronotype and evening chronotype is less common than expected. However, this may be a transitional state as they are adapting to a college lifestyle rather than high school. The evening chronotype is associated with poorer sleep quality and higher anxiety levels. Hence it is proposed to be the best time for intervention to spread awareness regarding the importance of proper sleep schedules among them to reduce anxiety and sleep-related disorders among the youth.


Corresponding author: Sonia Kochhar, Additional Professor and Head, Department of Physiology, All India Institute of Medical Sciences, Bathinda, Punjab, 151001, India, E-mail:

Acknowledgments

We thank all the students who participated actively in the study.

  1. Research ethics: The Institutional Ethics Review Board (for human studies) of the All India Institute of Medical Sciences Bathinda approved the study (IEC/AIIMS/BTI/211; 26th Aug 2022).

  2. Informed consent: Informed consent was obtained from all individuals who were included in this study.

  3. Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  4. Use of Large Language Models, AI and Machine Learning Tools: Large Language Models were used to check grammatical accuracy during the preparation of the manuscript.

  5. Conflict of interest: Authors state no conflict of interest.

  6. Research funding: The study was conducted as a Short-term scholarship project supported by the Indian Council of Medical Research, New Delhi granted to the first author. The scholarship supported the research implementation but there were no dedicated funds to cover the APC of the accepted manuscripts.

  7. Data availability: Anonymised data is available from the corresponding author upon reasonable request.

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Received: 2024-12-05
Accepted: 2025-02-09
Published Online: 2025-02-26
Published in Print: 2025-02-25

© 2025 the author(s), published by De Gruyter, Berlin/Boston

This work is licensed under the Creative Commons Attribution 4.0 International License.

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