Relationships Between Work Schedule and Chronotype, Nutrition Attitude, Mood, and Sleep Quality: Police–Teacher Comparison
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Original Article
VOLUME: 13 ISSUE: 2
P: 100 - 108
June 2026

Relationships Between Work Schedule and Chronotype, Nutrition Attitude, Mood, and Sleep Quality: Police–Teacher Comparison

J Turk Sleep Med 2026;13(2):100-108
1. Ordu University Faculty of Health Sciences, Department of Nutrition and Dietetics, Ordu, Türkiye
2. Ankara University Graduate School of Health Sciences, Ankara, Türkiye
No information available.
No information available
Received Date: 09.12.2025
Accepted Date: 17.02.2026
Online Date: 17.06.2026
Publish Date: 17.06.2026
E-Pub Date: 16.06.2026
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Abstract

Objective

This study aimed to compare the relationships between chronotype and nutrition attitudes, mood, and sleep quality among police officers and teachers with different work schedules.

Materials and Methods

This cross-sectional, comparative study was conducted with 176 participants (104 teachers and 72 police officers). Participants completed an online survey including demographic data, dietary habits, the Attitude Scale for Healthy Nutrition, Morningness–Eveningness Questionnaire, Depression Anxiety Stress Scale, and Pittsburgh Sleep Quality Index.

Results

Police officers’ eating habits were more affected by their work schedule than those of teachers (p < 0.05). In terms of chronotype, the majority of police officers were intermediate types, while the majority of teachers were morning types (p < 0.05). Teachers reported better sleep quality than police officers, although the difference did not reach significance (p > 0.05). Evening- and intermediate-type participants had higher depression, anxiety, and stress scores than morning types (2- to 4-fold higher for teachers; 5- to 6-fold higher for police officers). In addition, evening-type police officers had significantly poorer sleep quality than morning types.

Conclusion

These findings suggest that the intermediate and evening chronotypes may be associated with a greater negative impact on mood and sleep quality, particularly in rotating shift workers.

Keywords:
Chronotype, circadian rhythm, mood, nutrition, police officer, sleep, teacher

Introduction

In modern society, fluctuations in working hours can have a detrimental effect on mental and behavioral health outcomes, including dietary behaviors, depression, stress, and sleep quality (1). Bibliometric analyses have shown that epidemiological publications related to shift work and health have increased rapidly over the past 10–15 years, with the focus broadening to include cancer and mental/psychological health (2). In this context, increasing attention has been directed toward the circadian system, which includes the central clock in the suprachiasmatic nucleus of the hypothalamus and peripheral clocks in the metabolic tissues. This system regulates many of the body’s daily physiological processes, from hormone release to body temperature regulation and the sleep-wake cycle (3).

In the natural circadian rhythm, individuals should rise early in the morning and carry out activities such as eating and working during daylight hours (1, 4). As exposure to sunlight decreases, individuals typically reduce their activity levels and spend the nighttime hours obtaining restorative sleep. However, there are individual variations in the preferred timing of sleep and daily activities, which are termed chronotypes. People inclined to be more active during daylight hours are considered morning types, while those who are more active in the evening hours are called evening types. Morning types have been shown to be more closely aligned with the endogenous circadian rhythm (5).

Shift work has been shown to significantly alter sleep-wake cycles and eating patterns (6). These alterations can in turn disrupt the circadian rhythm, disturbing the body’s equilibrium and negatively impacting health. A large-scale epidemiological study showed that the prevalence of circadian rhythm sleep-wake disorders (particularly delayed sleep phase and shift work disorder) in the general population is around 10% to 13% (7). In professions with shift work systems, such as policing, night shifts cause individuals to spend their mornings sleeping and being physically inactive, while being active at night when sleep would normally occur. This disruption of biological rhythms can affect mood, causing them to feel more depressed and stressed (8, 9). In a study examining the sleep patterns and nutritional status of police officers working different shifts, the authors noted their inability to adequately assess the long-term effects of circadian rhythm disruptions because of the participants’ constantly changing shift schedule (10).

Chrononutrition, a subfield of chronobiology, is an emerging area of interest, with research focusing on the role of meal timing and its alignment with the body’s natural circadian rhythms in regulating metabolic health and energy balance (11, 12). Eating/feeding time is a well-known zeitgeber (13). Irregular working hours or shift work, which can lead to fluctuations in mealtimes and irregular eating habits, have been associated with negative health outcomes such as obesity and type 2 diabetes, although definitive evidence remains limited (14).

The fundamental principle of chrononutrition is the optimization of the release of hormones such as insulin, cortisol, and melatonin through the consumption of meals at specific times of the day. Given that the body’s insulin sensitivity is elevated during the day and reduced at night, the consumption of a late-night meal can elevate blood sugar levels and impair insulin sensitivity (13). Consequently, in addition to the traditional focus of dietary guidelines, namely food quantity and quality (i.e., how much we eat and what we eat), it is also important to consider the timing of food intake (i.e., when we eat) (15). Although previous studies have examined the circadian rhythms and nutritional status of shift workers, the exact nature of these disruptions remains poorly defined (16).

To the best of our knowledge, there has been no analysis and comparison of potential relationships among chronotype, dietary habits, nutrition attitudes, mood, and sleep quality in police officers and teachers, two occupational groups with different work schedules. Therefore, this study aimed to compare the relationship between chronotype, an individual determinant of circadian rhythm, and nutrition attitudes, mood, and sleep quality among shift-working police officers and daytime-working teachers.

Materials and Methods

Study Design

This cross-sectional, comparative study compared the possible relationship between the work schedules of two occupational groups, police officers and teachers, and their chronotype, nutrition attitudes, mood, and sleep quality. According to a power analysis performed using G*Power 3.1 software, assuming a significance level (α) of 0.05 and a test power (1-β) of 0.90, a total of 140 participants were required, with a minimum of 70 for each group. The study was conducted with 104 teachers and 72 police officers.

Participating police officers worked in a two-shift system with rotation every two weeks. The day shift runs from 6:00 AM to 6:00 PM, and the night shift runs from 6:00 PM to 6:00 AM. All participating teachers worked standard daytime shifts (approximately 8:00 AM to 4:00 PM).

Inclusion criteria were (1) age over 18 years, (2) at least one year of professional experience, (3) ability to speak and understand Turkish, and (4) absence of any chronic disease (e.g., diabetes mellitus, insulin resistance, hypertension, ischemic heart disease, thyroid disorders, chronic kidney or liver disease), psychiatric diagnosis, or eating disorder. Exclusion criteria were (1) pregnancy, (2) currently following any specific diet, and (3) use of medications that affect sleep quality or nutritional status.

Study data were obtained using an online survey from volunteer participants. All participants were informed of the purpose of the study and provided written informed consent online, in accordance with the Declaration of Helsinki. Ethical approval for the study was obtained from the Ordu University Social and Human Sciences Research Ethics Committee (date: 29 April 2025; session no: 04; decision no: 2025-74).

Data Collection Tools

Participants were asked questions about their demographic information, and completed the Attitude Scale for Healthy Nutrition (ASHN), Morningness–Eveningness Questionnaire (MEQ), Depression Anxiety Stress Scale (DASS-21), and Pittsburgh Sleep Quality Index (PSQI).

Demographic Information Form: This form was used to determine the participants’ general characteristics and included questions about their age, gender, health status, smoking and alcohol use, length of professional experience, typical sleep duration, and dietary habits. In addition, height and weight information was collected based on participants’ self-report. Body mass index (BMI) was calculated from these data and evaluated according to the World Health Organization (WHO) classification (17, 18).

ASHN: The ASHN was developed in 2019 by Tekkurşun Demir and Cicioğlu (19) to determine attitudes toward nutrition in adults, and its validity and reliability have been established. It is a 21-item, 5-point Likert-type scale with 4 factors (nutrition knowledge, attitudes toward nutrition, positive nutrition, and poor nutrition). Responses to positive items range from “strongly disagree” (1 point) to “strongly agree” (5 points). Scoring is reversed for negative items. Higher scores indicate better nutrition knowledge, attitudes, and behaviors (19).

Morningness-Eveningness Questionnaire: The MEQ was developed by Horne and Östberg (20) in 1976. Its validity and reliability in Turkish were established in 2005 (21). It consists of 19 multiple-choice and time-based items regarding lifestyle, sleep-wake patterns, and peak performance times. Each item receives a point value ranging from 0 to 6 points. Chronotype is determined according to total MEQ score, with total scores of 16–41 classified as “evening type,” 42–58 as “intermediate type,” and 59–86 as “morning type” (21).

Depression Anxiety Stress Scale (DASS-21): This study utilized the 21-item DASS scale, adapted from the studies by Henry and Crawford (22) and Mahmoud et al. (23). The validity and reliability study of this version in Turkish was conducted by Yılmaz et al. (24) in 2017. The DASS-21 contains 7 items in each of 3 dimensions: depression, stress, and anxiety. Items are rated on a 4-point Likert-type scale from “does not apply to me” (0 points) to “applies to me very much” (3 points). Based on the respective subscale scores, the individual’s depression, anxiety, and stress levels are assessed as normal, mild, moderate, severe, or very severe (24).

Pittsburgh Sleep Quality Index (PSQI): The PSQI, developed in 1989 by Buysse et al. (25), was used to assess participants’ sleep quality over the previous month. The Turkish validity and reliability study was conducted by Ağargün (26) in 1996. The index consists of 7 subscales: subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbance, sleep medication use, and daytime sleep dysfunction. Each component is scored between 0 and 3 points, yielding a total score ranging from 0 to 21 points. A score of 5 or below indicates good sleep quality, while a score of 6 or above indicates poor sleep quality (25, 26).

Statistical Analysis

SPSS Statistics version 27.0 software (IBM Corp., Armonk, NY) was used for statistical analyses, with a significance level of p < 0.05. Categorical data are expressed as frequencies (n) and percentages (%). The normality of continuous variables was examined using the Kolmogorov-Smirnov test, as well as evaluation of skewness and kurtosis. In descriptive analyses, normally distributed data were expressed as mean ± standard deviation (SD) and non-normally distributed data were expressed as median and interquartile range (IQR). Comparisons among variables were assessed using chi-square analysis for categorical data, parametric tests (t-test, analysis of variance) for normally distributed data, and non-parametric tests (Mann-Whitney U, Kruskal-Wallis H) for non-normally distributed data. Spearman correlation analysis was used to identify associations between variables, and linear regression analysis was performed to determine the strength of these relationships. Due to the limited number of participants in the highest severity categories of the DASS-21, the ‘severe’ and ‘very severe’ classifications were combined for the depression and anxiety subscales. Similarly, for the stress subscale, the four severity levels were reduced to two categories, ‘mild to moderate’ and ‘severe to very severe’, to ensure sufficient data for analysis.

Results

A total of 104 teachers and 72 police officers participated in the study. The sociodemographic characteristics of both groups are shown in Table 1. The proportion of female teachers and police officers was 59.6% and 20.8%, respectively (p < 0.001). Police officers reported significantly higher rates of smoking and alcohol use than teachers (p < 0.001 for both). Teachers were significantly older than police officers (mean ± SD: 40.3 ± 8.20 vs. 34.0 ± 6.25 years; p = 0.011) and had more professional experience (median [range]: 3 [1–4] vs. 2 [1–4] years, respectively; p < 0.001). Work schedule impacted diet more frequently for police officers than teachers (p < 0.001).

The chronotypes, depression, anxiety, and stress levels, sleep quality, and nutrition attitudes of teachers and police officers are examined in Table 2. In terms of chronotype (determined by the MEQ), the majority of police officers were classified as intermediate type (69.4%), whereas a higher proportion of teachers were classified as morning type (54.8%). When stress levels were examined according to the DASS-21, most teachers (84.6%) had normal stress levels, while a greater percentage of police officers (19.4%) reported mild/moderate stress (p = 0.037). Regarding sleep quality, teachers tended to have better sleep quality than police officers, although the difference was not significant (p > 0.05). There was also no significant difference in nutrition attitudes between teachers and police officers as determined by the ASHN (p > 0.05).

Table 3 shows that evening-type teachers had higher depression (median [IQR]: 11.1 [20.00]; p < 0.001), stress (10.0 [20.00]; p = 0.045), and sleep quality (7.3 [2.63]; p = 0.037) scores compared to morning and intermediate types (higher PSQI score indicates worse sleep quality). Evening-type police officers were also found to have significantly higher depression (median [IQR]: 9.1 [4.17]; p = 0.002), anxiety (8.0 [15.00]; p = 0.017), and stress levels (6.0 [18.00]; p = 0.022) compared to morning and intermediate types. No significant difference in nutrition attitudes was observed among chronotypes in either occupational group.

In morning-type and intermediate-type teachers, there were moderate to strong positive correlations among depression, anxiety, stress, and sleep quality (p < 0.01). These associations were stronger for evening-type teachers, with depression showing very strong correlation with anxiety and stress (r = 0.964; p < 0.01). Intermediate-type and evening-type police officers also exhibited moderate to strong positive correlations among depression, anxiety, and stress (p < 0.05). Additionally, sleep quality was moderately correlated with anxiety in intermediate-type police officers (r = 0.464; p < 0.01) (Figure 1).

Regression analyses of teachers’ and police officers’ mood, BMI, and sleep quality according to chronotype are presented in Table 4. Intermediate and evening types had significantly higher depression, anxiety, and stress scores compared to morning types (2- to 4-fold higher for teachers; 5- to 6-fold higher for police officers). Furthermore, evening-type police officers’ sleep quality was approximately twice as poor as that of morning types.

Discussion

The present study examined the potential relationship between chronotype and nutrition attitudes, mood, and sleep quality in two occupational groups with different work schedules. The findings indicated that police officers’ shift work schedule had a greater impact on their eating habits than teachers’ daytime schedule, although there was no difference in nutrition attitudes between the two groups. According to the MEQ, the majority of teachers were morning types, whereas the majority of police officers were intermediate types. Teachers and police officers who were evening types reported significantly higher levels of depression, stress, and anxiety compared to other chronotypes. Furthermore, more than half of police officers had poor sleep quality, while both teachers and police officers who were morning types had good sleep quality. Positive correlations between mood and sleep quality were observed in morning- and intermediate-type teachers and intermediate-type police officers. Regression analyses revealed that depression, anxiety, and stress levels were 3- to 6-fold higher in evening and intermediate types compared to morning types for both occupational groups, although this association was more pronounced among police officers.

Circadian rhythm is described in terms of individual chronotypes (morningness/eveningness), which reflect a person’s preferred timing for activity and sleep within a 24-hour period (27). The circadian rhythm plays a fundamental role in regulating biological functions, including sleep-wake preferences, body temperature, hormone secretion, food intake, and cognitive and physical performance. The timing and composition of food intake are important for synchronizing both the central and peripheral biological clocks in humans. These metabolic clocks coordinate the synthesis, breakdown, recycling, and disposal of metabolic substrates, ensuring that nutrients consumed at mealtimes can adequately meet our physiological needs (28). Furthermore, from a nutritional genomics perspective, genetic variants in “clock genes” can both affect metabolic health and alter an individual’s response to diet (29). Therefore, a single food or specific combination of foods can lead to weight gain or loss in relation to chronotype and the hunger-satiety cycle (30).

Having an evening or morning chronotype not only determines preferred sleep schedule but can also influence subsequent mealtimes, which in turn can affect the circadian rhythm (31). This is because the clocks within the hypothalamus (such as the suprachiasmatic nucleus) regulate the daily rhythm of food intake (32). Biological clocks outside the hypothalamus are sensitive to nutrients in the peripheral circulation, such as free fatty acids and glucose, and to nutrients-related hormones such as ghrelin, leptin, and insulin. Furthermore, biological clocks may also interact with dopaminergic motivation-reward circuits that influence eating behavior, effectively controlling food intake through both homeostatic and hedonic pathways (33).

A systematic review of 24 studies examining chronotype and body composition found that although evening and morning types had similar energy and macronutrient intakes, evening types were more likely to be overweight or obese (34). Another review reported that among Italian adults, intermediate and evening chronotypes were associated with lower adherence to the Mediterranean diet (35). Similarly, a meta-analysis by Zhang et al. (36) and a systematic review by Teixeira et al. (37) revealed that the evening chronotype was associated with unhealthy eating habits, obesity, and adverse metabolic parameters of glucose and lipid metabolism. Conversely, a study conducted among healthcare workers in Türkiye showed that morning types had higher BMI values compared to other chronotypes (38). In the present study, the majority of police officers and teachers had a normal BMI (54.2% and 50%, respectively). Although police officers working rotating shifts reported a greater impact of work schedule on diet and consumed tobacco and alcohol at higher rates than daytime-working teachers, there was no significant difference in BMI between the groups. This may be related to the higher prevalence of the intermediate chronotype among police officers, which may facilitate their adaptation to night shifts compared to morning types, or to their shift rotation every two weeks. Given the lack of existing literature comparing police officers and teachers in terms of chronotype, obesity, or dietary patterns, these findings contribute novel insights to the literature.

According to WHO data, sleep disorders are very common among adults, with approximately 30–35% of the world’s population reporting sleep problems and 9–11% suffering from chronic insomnia (39). According to 2022 U.S. Department of Health data, 31.1% of adults fail to get adequate sleep (40). An epidemiological study in Cyprus indicated the prevalence of circadian rhythm sleep-wake disorders (particularly delayed sleep phase and shift work disorder) in the general population was 10–13% (7). Studies on shift-working nurses have shown that chronotype and work schedules impact sleep quality (41, 42). Similarly, night and rotating shift work has been associated with poorer sleep quality and higher depression and anxiety among police officers (43, 44). In a study of primary and secondary school teachers in China, Xue et al. (45) found that teachers generally had poor sleep quality (69.3%) and high rates of anxiety (65.3%) and depression (74.7%). In the current study, we determined that over half (52.8%) of police officers had poor sleep quality, while morning types in both groups reported good sleep quality. Both the literature and the current findings suggest that the morning chronotype and a stable daytime work schedule are conducive to better sleep. To address the global prevalence of sleep problems, individuals should be encouraged to seek employment compatible with their chronotype, and shift systems should be regulated.

A meta-analysis of 14 studies involving approximately 50,000 employees reported that shift workers have a higher risk of poor mental health compared to daytime workers, with 1.47-fold greater risk in evening shift workers, specifically (46). Depression is a debilitating mental health disorder that affects millions of people worldwide, and evidence that chronotype is an important factor associated with depression is steadily mounting. Research indicates that evening types have a significantly higher risk of depression, an increased tendency toward suicide, and greater risk for substance use, whereas the morning chronotype may have a protective effect (47, 48). Shift work can further compound the mental health risk by disrupting the circadian rhythm (49). Togo et al. (50) reported higher levels of depressive symptoms among shift workers compared to daytime workers. Consistent with this, we found that evening-type teachers and police officers had higher levels of depression, stress, and anxiety than other chronotypes. Additionally, mood and sleep quality were positively correlated in morning- and intermediate-type teachers, but only in intermediate-type police officers. Further analyses revealed that, although more apparent among police officers, evening and intermediate types in both occupational groups had 3- to 6-fold higher levels of depression, anxiety, and stress than morning types. In line with the literature, both the evening chronotype and shift work were found to negatively impact sleep quality and psychological well-being.

Study Limitations

This study has certain strengths and limitations. It is the first study in Türkiye to compare the effects of different work schedules on chronotype, nutrition attitudes, mood, and sleep quality among daytime-working teachers and police officers working rotating shifts. However, several limitations should be acknowledged. First, the data were obtained by self-report. Therefore, participants may have expressed perceived or desired states rather than their actual situation. Second, because the study was cross-sectional in nature, we cannot establish causal relationships between variables. Third, the frequent rotation of the police officers’ shift schedule (every two weeks) may have obscured differences related to work schedule. Fourth, we did not assess exposure to natural and artificial light, which is an important regulator of circadian rhythm. Fifth, nutritional attitudes and behaviors were assessed using only the ASHN scale, which precludes generalizations about the participants’ diet. Finally, work-related stress was not assessed. Incorporating this variable into future studies could provide clearer insight and allow more accurate interpretations.

Conclusions

In this study, the chronotypes of police officers working rotating shifts and teachers on a daytime schedule were strongly associated with mood and sleep quality. This association was particularly evident among police officers. These findings suggest that considering chronotype is important for the health of workers in shift-based occupations. Consequently, to promote overall health and well-being, it may be advantageous to regulate police officers’ working hours and shift rotations to minimize circadian rhythm deviations. Future research should explore the potential benefits of chronotype-aware work assignments or shift scheduling.

Ethics

Ethics Committee Approval: Ethical approval for the study was obtained from the Ordu University Social and Human Sciences Research Ethics Committee (date: 29 April 2025; session no: 04; decision no: 2025-74).
Informed Consent: All participants were informed of the purpose of the study and provided written informed consent online, in accordance with the Declaration of Helsinki.

Authorship Contributions

Concept: N.Ö., Design: N.Ö., A.B., Data Collection or Processing: N.Ö., A.B., Analysis or Interpretation: N.Ö., A.B., Literature Search: N.Ö., Writing: N.Ö., A.B.
Conflict of Interest: No conflict of interest was declared by the authors.
Financial Disclosure: The authors declared that this study received no financial support.

References

1
Roenneberg T, Kumar CJ, Merrow M. The human circadian clock entrains to sun time. Curr Biol. 2007;17(2).
2
Chen S, Liu Q, Yan J. The influence of shift work: a bibliometric analysis of research progress and frontiers on health effects. Chronobiol Int. 2024;41(4):577-586.
3
Reytor-González C, Simancas-Racines D, Román-Galeano NM, et al. Chrononutrition and energy balance: how meal timing and circadian rhythms shape weight regulation and metabolic health. Nutrients. 2025;17(13):2135.
4
Mortimer T, Smith JG, Muñoz-Cánoves P, Benitah SA. Circadian clock communication during homeostasis and ageing. Nat Rev Mol Cell Biol. 2025;26(4):314-331.
5
Adan A, Archer SN, Hidalgo MP, Di Milia L, Natale V, Randler C. Circadian typology: a comprehensive review. Chronobiol Int. 2012;29(9):1153-1175.
6
Fagiani F, Di Marino D, Romagnoli A, et al. Molecular regulations of circadian rhythm and implications for physiology and diseases. Signal Transduct Target Ther. 2022;7(1):41.
7
Frangopoulos F, Nicolaou I, Zannetos S, et al. Setting objective clinical assessment tools for circadian rhythm sleep-wake disorders: a community-based cross-sectional epidemiological study. Nat Sci Sleep. 2021;13:791-802.
8
Wright KP Jr, McHill AW, Birks BR, Griffin BR, Rusterholz T, Chinoy ED. Entrainment of the human circadian clock to the natural light-dark cycle. Curr Biol. 2013;23(16):1554-1558.
9
Esen H, Hatipoğlu T, Cihan A, Fiğlali N. Expert system application for prioritizing preventive actions for shift work: shift expert. Int J Occup Saf Ergon. 2019;25(1):123-137.
10
Kosmadopoulos A, Kervezee L, Boudreau P, et al. Effects of shift work on the eating behavior of police officers on patrol. Nutrients. 2020;12(4):999.
11
Raji OE, Kyeremah EB, Sears DD, St-Onge MP, Makarem N. Chrononutrition and cardiometabolic health: an overview of epidemiological evidence and key future research directions. Nutrients. 2024;16(14):2332.
12
Verde L, Di Lorenzo T, Savastano S, Colao A, Barrea L, Muscogiuri G. Chrononutrition in type 2 diabetes mellitus and obesity: a narrative review. Diabetes Metab Res Rev. 2024;40(2).
13
Erkılıç TO, et al. Krono-beslenme (chrono-nutrition): sirkadiyen ritme uyumlu beslenme yaklaşımıyla metabolik hastalıkların önlenmesi ve yönetimi. Avrasya Üniversitesi Sağlık Bilimleri Dergisi. 2025;1:44-54.
14
Mentzelou M, Papadopoulou SK, Psara E, et al. Chrononutrition in the prevention and management of metabolic disorders: a literature review. Nutrients. 2024;16(5):722.
15
Smith HA, Betts JA. Nutrient timing and metabolic regulation. J Physiol. 2022;600(6):1299-1312.
16
Magalhães ACO, Marques CG, Lucin GA, et al. The relationship between sleep- and circadian rhythm-related parameters with dietary practices and food intake of sedentary adults: a cross-sectional study. Sleep Biol Rhythms. 2023;22(1):113-124.
17
Pekcan G. Beslenme durumunun saptanması. Baysal A, Aksoy M, Besler T ve ark. editörler. Diyet el kitabı. 8. baskı. Hatipoğlu Basım ve Yayım San. Tic. Ltd. Şti; 2014. s. 67-143.
18
World Health Organization. BMI classification. Accessed October 3, 2023. http://www.euro.who.int/en/health-topics/disease-prevention/nutrition/a-healthy-lifestyle/body-mass-index-bmi
19
Tekkurşun Demir G, Cicioğlu Hİ. Sağlıklı beslenmeye ilişkin tutum ölçeği (SBİTÖ): geçerlik ve güvenirlik çalışması. Gaziantep Üniversitesi Spor Bilimleri Dergisi. 2019;4(2):256-274.
20
Horne JA, Östberg OA. Self-assessment questionnaire to determine morningness-eveningness in human circadian rhythms. International Journal of Chronobiology. 1976;4(2):97-110.
21
Pündük Z, Gür H, Ercan İ. Sabahçıl-akşamcıl anketi Türkçe uyarlamasında güvenilirlik çalışması. Türk Psikiyatri Dergisi. 2005;16(3):190-204.
22
Henry JD, Crawford JR. The short-form version of the Depression Anxiety Stress Scales (DASS-21): construct validity and normative data in a large non-clinical sample. British Journal of Clinical Psychology. 2005;44(2):227-239.
23
Mahmoud JS, Staten R, Hall LA, Lennie TA. The relationship among young adult college students’ depression, anxiety, stress, demographics, life satisfaction, and coping styles. Issues Ment Health Nurs. 2012;33(3):149-156.
24
Yılmaz Ö, Boz H, Arslan A. Depresyon Anksiyete Stres Ölçeğinin (DASS 21) Türkçe kısa formunun geçerlilik-güvenilirlik çalışması. Finans Ekonomi ve Sosyal Araştırmalar Dergisi. 2017;2(2):78-91.
25
Buysse DJ, Reynolds CF 3rd, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989;28(2):193-213.
26
Ağargün M. Pittsburgh uyku kalitesi indeksinin geçerliği ve güvenirliği. Türk Psikiyatri Dergisi. 1996;7:107-115.
27
Montaruli A, Castelli L, Mulè A, et al. Biological rhythm and chronotype: new perspectives in health. Biomolecules. 2021;11(4):487.
28
Frayn K. Human metabolism: a regulatory perspective. 4th ed. Wiley-Blackwell; 2019.
29
Franzago M, Alessandrelli E, Notarangelo S, Stuppia L, Vitacolonna E. Chrono-nutrition: circadian rhythm and personalized nutrition. Int J Mol Sci. 2023;24(3):2571.
30
Barrea L, Frias-Toral E, Aprano S, et al. The clock diet: a practical nutritional guide to manage obesity through chrononutrition. Minerva Med. 2022;113(1):172-188.
31
van der Merwe C, Münch M, Kruger R. Chronotype differences in body composition, dietary intake and eating behavior outcomes: a scoping systematic review. Adv Nutr. 2022;13(6):2357-2405.
32
Paul S, Hanna L, Harding C, et al. Output from VIP cells of the mammalian central clock regulates daily physiological rhythms. Nat Commun. 2020;11(1):1453.
33
Flanagan A, Bechtold DA, Pot GK, Johnston JD. Chrono-nutrition: from molecular and neuronal mechanisms to human epidemiology and timed feeding patterns. J Neurochem. 2021;157(1):53-72.
34
Ekiz Erim S, Sert H. The relationship between chronotype and obesity: a systematic review. Chronobiol Int. 2023;40(4):529-541. Godos J, Castellano S, Ferri R, et al. Mediterranean diet and chronotype: data from Italian adults and systematic review of observational studies. Exp Gerontol. 2023;181:112284.
35
Godos J, Castellano S, Ferri R, et al. Mediterranean diet and chronotype: data from Italian adults and systematic review of observational studies. Exp Gerontol. 2023;181:112284.
36
Zhang R, Cai X, Lin C, et al. The association between metabolic parameters and evening chronotype and social jetlag in non-shift workers: a meta-analysis. Front Endocrinol (Lausanne). 2022;13:1008820.
37
Teixeira GP, Guimarães KC, Soares AGNS, et al. Role of chronotype in dietary intake, meal timing, and obesity: a systematic review. Nutr Rev. 2022;81(1):75-90.
38
Köleoğlu MB, Kenger EB. Determination of the relationship between Three-Factor Eating Scale and chronotypes in healthcare workers. Bandırma Onyedi Eylül Üniversitesi Sağlık Bilimleri ve Araştırmaları Dergisi. 2024;6(3):467-475.
39
World Health Organization. WHO technical meeting on sleep and health. Accessed October 10, 2025. https://www.aeronautas.org.br/images/_sna/_noticias/WHO_technical_meeting_sleep_health.pdf
40
Office of the Assistant Secretary for Health. Sleep - Healthy People 2030. Accessed October 10, 2025. https://odphp.health.gov/healthypeople/objectives-and-data/browse-objectives/sleep/increase-proportion-adults-who-get-enough-sleep-sh-03
41
Karahan A, Abbasoğlu A, Uğurlu Z, Avcı Işık S, Kılıç G, Özhan Elbaş N. Hemşirelerin çalıştıkları şiftlere ve kronotip özelliklerine göre uyku kalitesi, yorgunluk ve dikkat durumlarının belirlenmesi. Psikiyatri Hemşireliği Dergisi. 2020;11(2):98-105.
42
Molu B, Tuna PT, Keskin AY, Tuna Hİ. Determination of chronotype, quality of life, sleep quality, and social jetlag in shift working nurses. Journal of Turkish Sleep Medicine. 2023;10:48-53.
43
James L, James S, Atherley L. The effects of shift-work schedules on the sleep, health, safety, and quality of life of police employees during the COVID-19 pandemic. Front Psychol. 2023;14:1128629.
44
Sharma L, Pedlar CR, Burgess PW, Kanagasabai S, Ronca F. Acute and long-term sleep measurements produce opposing results on sleep quality in 8 and 12 hour shift patterns in law enforcement officers. J Sleep Res. 2023;32(5).
45
Xue L, Chen Y, Wang H, Peng Y, Li Y, Wang Y. Sleep status and influencing factors of primary and secondary school teachers in China. Front Public Health. 2025;13:1661255. Published 2025 Sep 26.
46
Li B, Liao G, Lee PMY, et al. Association between matched chronotype and poor mental health among shift workers: a systematic review and meta-analysis. J Epidemiol Community Health. 2023;77(8):485-493.
47
Zou H, Zhou H, Yan R, Yao Z, Lu Q. Chronotype, circadian rhythm, and psychiatric disorders: recent evidence and potential mechanisms. Front Neurosci. 2022;16:811771.
48
Zhao Y, Liao JW, Huang QT. Role of chronotype in depression. World J Psychiatry. 2025;15(10):109087.
49
Lee S, Jung HN, Ryu J, Jung WC, Kim YM, Kim H. Relationship between chronotype and depressive symptoms among newly hired hospital nurses in the Republic of Korea. Ann Occup Environ Med. 2022;34.
50
Togo F, Yoshizaki T, Komatsu T. Association between depressive symptoms and morningness-eveningness, sleep duration and rotating shift work in Japanese nurses. Chronobiol Int. 2017;34(3):349-359.