Chronotypes are significantly associated with emotional well-being in a general population cohort in Hungary

Chronotypes reflect individual differences in the preference for wake and sleep times within a 24-hour period. They have been linked to emotional well-being, yet findings remain inconsistent, potentially due to variations in study populations, methodologies, and measures of emotional well-being. This study aimed to clarify the contribution of chronotypes to emotional well-being while controlling for demographic variables in a large cohort of 1,120 participants from the general population in Hungary. Emotional well-being was assessed using validated self-report measures, including the Brief Symptoms Inventory (BSI), Zung Self-Rating Depression Scale (ZSDS), State and Trait Anxiety Inventory-Trait (STAI-T), and Beck Hopelessness Scale (BHS). Chronotypes were determined using the Morningness-Eveningness Questionnaire (MEQ). Comprehensive stepwise regression analyses were performed to evaluate relationships between demographic factors, chronotypes, and emotional well-being. Statistical analyses revealed that individuals with evening chronotypes were more likely to report lower emotional well-being, even after adjusting for demographic factors such as age, gender, and socioeconomic status. Regression models demonstrated the unique contribution of chronotypes to emotional well-being, highlighting the vulnerability of evening types. These findings underscore the importance of considering chronotypes in understanding emotional health and suggest potential directions for chronotype-specific interventions to promote mental well-being.

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Publication Details

Journal
Scientific Reports
Published
2025-05-08
DOI
https://doi.org/10.1038/s41598-025-00893-8
Citations
2
Primary Topic
Sleep and related disorders
Type
article
Field-Weighted Citation Impact
4.24

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article

Chronotypes are significantly associated with emotional well-being in a general population cohort in Hungary

Gabriella Juhasz, György Bagdy, Dóra Török, Xénia Gonda et al.
2 citations
Scientific Reports
Sleep and related disorders
4.24
article

Chronotypes are significantly associated with emotional well-being in a general population cohort in Hungary

Gabriella Juhasz, György Bagdy, Dóra Török, Xénia Gonda, Anat Lan, Haim Einat
article en
2 citations

Abstract

Chronotypes reflect individual differences in the preference for wake and sleep times within a 24-hour period. They have been linked to emotional well-being, yet findings remain inconsistent, potentially due to variations in study populations, methodologies, and measures of emotional well-being. This study aimed to clarify the contribution of chronotypes to emotional well-being while controlling for demographic variables in a large cohort of 1,120 participants from the general population in Hungary. Emotional well-being was assessed using validated self-report measures, including the Brief Symptoms Inventory (BSI), Zung Self-Rating Depression Scale (ZSDS), State and Trait Anxiety Inventory-Trait (STAI-T), and Beck Hopelessness Scale (BHS). Chronotypes were determined using the Morningness-Eveningness Questionnaire (MEQ). Comprehensive stepwise regression analyses were performed to evaluate relationships between demographic factors, chronotypes, and emotional well-being. Statistical analyses revealed that individuals with evening chronotypes were more likely to report lower emotional well-being, even after adjusting for demographic factors such as age, gender, and socioeconomic status. Regression models demonstrated the unique contribution of chronotypes to emotional well-being, highlighting the vulnerability of evening types. These findings underscore the importance of considering chronotypes in understanding emotional health and suggest potential directions for chronotype-specific interventions to promote mental well-being.

Scientific ReportsVol. 15(1)
Semmelweis University (HU), Academic College of Tel Aviv-Yafo (IL)
Semmelweis Egyetem, Nemzeti Kutatási, Fejlesztési és Innovaciós Alap
Openalex Percentile: Top 7%
Sleep and related disorders
4.24
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