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Shapiro B, Fang Y, Sen S, Forger D. Unraveling the interplay of circadian rhythm and sleep deprivation on mood: A Real-World Study on first-year physicians. PLOS DIGITAL HEALTH 2024; 3:e0000439. [PMID: 38295082 PMCID: PMC10829990 DOI: 10.1371/journal.pdig.0000439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/30/2023] [Accepted: 12/25/2023] [Indexed: 02/02/2024]
Abstract
The interplay between circadian rhythms, time awake, and mood remains poorly understood in the real-world. Individuals in high-stress occupations with irregular schedules or nighttime shifts are particularly vulnerable to depression and other mood disorders. Advances in wearable technology have provided the opportunity to study these interactions outside of a controlled laboratory environment. Here, we examine the effects of circadian rhythms and time awake on mood in first-year physicians using wearables. Continuous heart rate, step count, sleep data, and daily mood scores were collected from 2,602 medical interns across 168,311 days of Fitbit data. Circadian time and time awake were extracted from minute-by-minute wearable heart rate and motion measurements. Linear mixed modeling determined the relationship between mood, circadian rhythm, and time awake. In this cohort, mood was modulated by circadian timekeeping (p<0.001). Furthermore, we show that increasing time awake both deteriorates mood (p<0.001) and amplifies mood's circadian rhythm nonlinearly. These findings demonstrate the contributions of both circadian rhythms and sleep deprivation to underlying mood and show how these factors can be studied in real-world settings using Fitbits. They underscore the promising opportunity to harness wearables in deploying chronotherapies for psychiatric illness.
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Affiliation(s)
- Benjamin Shapiro
- Department of Psychiatry, Dartmouth Health, Hanover, New Hampshire, United States of America
- Dartmouth College Geisel School of Medicine, Hanover, New Hampshire, United States of America
| | - Yu Fang
- Michigan Neuroscience Institute, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Srijan Sen
- Michigan Neuroscience Institute, University of Michigan, Ann Arbor, Michigan, United States of America
- Department of Psychiatry, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Daniel Forger
- Department of Mathematics, University of Michigan, Ann Arbor, Michigan, United States of America
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, United States of America
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Ahlberg R, Garcia-Argibay M, Taylor M, Lichtenstein P, D'Onofrio BM, Butwicka A, Hill C, Cortese S, Larsson H, Du Rietz E. Prevalence of sleep disorder diagnoses and sleep medication prescriptions in individuals with ADHD across the lifespan: a Swedish nationwide register-based study. BMJ MENTAL HEALTH 2023; 26:e300809. [PMID: 37657817 PMCID: PMC10577710 DOI: 10.1136/bmjment-2023-300809] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Accepted: 08/09/2023] [Indexed: 09/03/2023]
Abstract
BACKGROUND Consistent evidence suggests a strong association between attention-deficit/hyperactivity disorder (ADHD) and subjectively reported sleep problems. However, the prevalence of clinically ascertained sleep disorder diagnoses and sleep medication prescriptions in individuals with ADHD remains unclear. OBJECTIVE To determine the rates of sleep disorder diagnoses and sleep medication prescriptions in children, adolescents and adults with ADHD. METHODS We linked Swedish national registers to create a cohort of individuals born 1945-2008. We estimated the absolute and relative risks (using logistic regression models) of different sleep disorder diagnoses and medication prescriptions in individuals with and without ADHD. The analyses were performed across five different age groups: children (5-11 years), adolescents (12-17 years), young adults (18-30 years), middle-aged adults (31-45 years) and older adults (46-60 years). FINDINGS Among individuals with ADHD (N=145 490, 2.25% of the cohort), 7.5% had a sleep disorder diagnosis and 47.5% had been prescribed sleep medication. Individuals with ADHD, across all age groups, had a statistically significantly increased risk of having any sleep disorder diagnosis (ORrange=6.4-16.1) and any sleep medication prescription (ORrange=12.0-129.4) compared with individuals without ADHD. While rates of sleep disorders were highest in older adults, the relative risks were highest in youth. CONCLUSIONS Individuals with ADHD have a substantially increased risk of sleep disorder diagnoses and sleep medication prescriptions, from childhood into older adulthood. CLINICAL IMPLICATIONS More clinical efforts are needed to tackle impairing sleep problems in individuals with ADHD via systematic sleep assessment, appropriate diagnosis, and pharmacological and non-pharmacological interventions. Sleep medication use should be informed by sleep disorder diagnosis.
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Affiliation(s)
- Rickard Ahlberg
- School of Medical Sciences, Örebro University, Orebro, Sweden
| | - Miguel Garcia-Argibay
- School of Medical Sciences, Örebro University, Orebro, Sweden
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - Marc Taylor
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Paul Lichtenstein
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Brian M D'Onofrio
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
- Department of Psychological and Brain Sciences, Indiana University Bloomington, Bloomington, Indiana, USA
| | - Agniezska Butwicka
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Child and Adolescent Psychiatry, Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Catherine Hill
- School of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
- Department of Sleep Medicine, Southampton Children's Hospital, University Hospital Southampton NHS Foundation Trust, Southampton, UK, Southampton, UK
| | - Samuele Cortese
- Centre for Innovation in Mental Health, School of Psychology, University of Southampton Faculty of Environmental and Life Sciences, Southampton, UK
- Solent NHS Trust; Division of Psychiatry and Applied Psychology, School of Medicine, University of Nottingham, Nottingham, UK
| | - Henrik Larsson
- School of Medical Sciences, Örebro University, Orebro, Sweden
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Ebba Du Rietz
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
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Baris I, Ozcan O, Kavakli IH. Single nucleotide polymorphisms (SNPs) in circadian genes: Impact on gene function and phenotype. ADVANCES IN PROTEIN CHEMISTRY AND STRUCTURAL BIOLOGY 2023; 137:17-37. [PMID: 37709375 DOI: 10.1016/bs.apcsb.2023.03.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/30/2023]
Abstract
Circadian rhythm is an endogenous timing system that allows an organism to anticipate and adapt to daily changes and regulate various physiological variables such as the sleep-wake cycle. This rhythm is governed by a molecular circadian clock mechanism, generated by a transcriptional and translational feedback loop (TTFL) mechanism. In mammals, TTFL is determined by the interaction of four main clock proteins: BMAL1, CLOCK, Cryptochromes (CRY), and Periods (PER). BMAL1 and CLOCK form dimers and initiate the transcription of clock-controlled genes (CCG) by binding an E-box element with the promotor genes. Among CCGs, PERs and CRYs accumulate in the cytosol and translocate into the nucleus, where they interact with the BMAL1/CLOCK dimer and inhibit its activity. Several epidemiological and genetic studies have revealed that circadian rhythm disruption causes various types of disease. In this chapter, we summarize the effect of core clock gene SNPs on circadian rhythm and diseases in humans.
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Affiliation(s)
- Ibrahim Baris
- Department of Molecular Biology and Genetics, Koc University, Rumelifeneri Yolu, Sariyer, Istanbul, Türkiye
| | - Onur Ozcan
- Department of Molecular Biology and Genetics, Koc University, Rumelifeneri Yolu, Sariyer, Istanbul, Türkiye
| | - Ibrahim Halil Kavakli
- Department of Molecular Biology and Genetics, Koc University, Rumelifeneri Yolu, Sariyer, Istanbul, Türkiye; Department of Chemical and Biological Engineering, Koc University, Rumelifeneri Yolu, Sariyer, Istanbul, Türkiye.
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Chong GY, Kaur S, Talib RA, Loy SL, Tan HY, Harjit Singh SS, Abdullah RB, Mahmud HB, Siah WY, Koo HC. Chronotype, chrononutrition and glucose tolerance among prediabetic individuals: research protocol for a prospective longitudinal study Chrono-DM™. BMC PRIMARY CARE 2022; 23:193. [PMID: 35922777 PMCID: PMC9351220 DOI: 10.1186/s12875-022-01815-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Accepted: 07/29/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Chronotype and chrononutrition, both are emerging research interests in nutritional epidemiology. However, its association with glycemic control in the Asia population is less clear. A better understanding of how activity/eating time can influence glucose levels in Asian prediabetic individuals may improve strategies for blood glucose control in Asian countries. The present paper describes the research protocol which aims to determine the associations of chronotype and chrononutrition with glucose tolerance among Malaysian prediabetic individuals. METHODS This is a prospective longitudinal study named Chrono-DM™, that targets to recruit 166 newly diagnosed prediabetic individuals from the community clinics in Malacca, Malaysia. Respondents will be followed-up for 6 months: (1) baseline (1st oral glucose tolerance test (OGTT)); (2) second visit (at 3rd month); and (3) third visit (2nd OGTT at 6th month). Data collection includes sociodemographic and anthropometry measurements (weight, height, body fat, visceral fat, waist and hip circumference). Dietary intake and meal timing are collected using the 3-day dietary record while data on sleep pattern, light exposure, chronotype and chrononutrition will be collected using validated questionnaires. Physical activity will be recorded using a validated IPAQ questionnaire and pedometer during periods of using continuous glucose monitoring (CGM) sensor. CGM, fasting blood sugar (FBS), OGTT and HbA1c are performed to assess glycemic outcomes. DISCUSSION The Chrono-DM™ study represents a novel approach to determining the association of chronotype and chrononutrition with glycemic control. We anticipate that this study will not only review the association of chronotype with glycemia measure but also provide greater insight into optimal meal time for glycemic control among prediabetic individuals in the Asian population. TRIAL REGISTRATION NCT05163964 (Clinicaltrial.gov). Trial registration date: 20 December 2021.
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Affiliation(s)
- Guey Yong Chong
- Faculty of Applied Sciences, Tunku Abdul Rahman University College, Kuala Lumpur, Malaysia
| | - Satvinder Kaur
- Faculty of Applied Sciences, UCSI University, Kuala Lumpur, Malaysia
| | - Ruzita Abd Talib
- Nutritional Sciences Program, Centre for Community Health Studies (ReaCH), Faculty of Health Sciences, The National University of Malaysia, Kuala Lumpur, Malaysia
| | - See Ling Loy
- Department of Reproductive Medicine, KK Women's and Children's Hospital, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Hui Yin Tan
- Faculty of Applied Sciences, Tunku Abdul Rahman University College, Kuala Lumpur, Malaysia
| | | | - Rosmiza Binti Abdullah
- Klinik Kesihatan Batu Berendam, Pejabat Kesihatan Daerah Melaka Tengah, Melaka, Malaysia
| | - Hanisah Binti Mahmud
- Klinik Kesihatan Batu Berendam, Pejabat Kesihatan Daerah Melaka Tengah, Melaka, Malaysia
| | - Woan Yie Siah
- Klinik Kesihatan Batu Berendam, Pejabat Kesihatan Daerah Melaka Tengah, Melaka, Malaysia
| | - Hui Chin Koo
- Faculty of Applied Sciences, Tunku Abdul Rahman University College, Kuala Lumpur, Malaysia.
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Frangopoulos F, Nicolaou I, Zannetos S, Economou NT, Adamide T, Georgiou A, Nikolaidis PT, Rosemann T, Knechtle B, Trakada G. 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. [PMID: 34163273 PMCID: PMC8215907 DOI: 10.2147/nss.s308917] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Accepted: 05/22/2021] [Indexed: 11/23/2022] Open
Abstract
INTRODUCTION Circadian rhythm sleep-wake disorder (CRSWD) is an often-misdiagnosed group of sleep disturbances with limited data concerning diagnostic and therapeutic algorithms in the general population. Therefore, reported prevalence varies in the literature due to different case definitions, methodological, and environmental factors. OBJECTIVES The purpose of our cross-sectional study was to estimate the prevalence of CRSWD in the general population of Cyprus and to suggest clinical parameters for the assessment of atypical sleep schedules. The estimation was carried out by introducing normal preset sleep time limits, according to the imposed local environment and by administering well-established questionnaires for symptoms and consequence dysfunction, as objective evaluation tools. METHODS In a nationwide epidemiological survey, 4118 Cypriot adult participants, selected and stratified to represent the general population, were interviewed on sleep habits and complaints by computer-assisted telephone interviewing (CATI). In the second stage, 250 adults were randomly selected from the initial representative sample, for a CRSWD assessment. According to the proposed diagnostic criteria, patients were interviewed about sleepiness and/or insomnia, and daytime dysfunction (fatigue, anxiety, and depression). They were also assessed by a weekly sleep diary for sleep schedules. Finally, all participants underwent a Type III Sleep Study, to rule out obstructive sleep apnea. RESULTS From 195 enrolled participants (response rate 78%), 25 individuals (12.8%) met the criteria for CRSWD. The two most prevalent disorders were delayed sleep-wake phase disorder (DSWPD) (10pts, 5.1%) and shift work sleep disorder (SWD) (13, 6.7%). Less prevalent disorders included irregular sleep-wake rhythm disorder (ISWRD) (1, 0.5%) and advanced sleep-wake phase disorder (ASWPD) (1, 0.5%). CONCLUSIONS According to our data, CRSWDs are common in the general population of Cyprus, especially DSWPD and SWD. Affected individuals usually suffer from sleep deprivation and complain about insomnia, sleepiness and depression.
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Affiliation(s)
| | - Ivi Nicolaou
- Respiratory Department, Nicosia General Hospital, Nicosia, Cyprus
| | - Savvas Zannetos
- Health Economics and Statistics, Neapolis University, Paphos, Cyprus
| | - Nicholas-Tiberio Economou
- Division of Pulmonology, Department of Clinical Therapeutics, National and Kapodistrian University of Athens, School of Medicine, Alexandra Hospital, Athens, Greece
| | - Tonia Adamide
- Respiratory Department, Nicosia General Hospital, Nicosia, Cyprus
| | - Andreas Georgiou
- Respiratory Department, Nicosia General Hospital, Nicosia, Cyprus
| | | | - Thomas Rosemann
- Institute of Primary Care, University of Zurich, Zurich, Switzerland
| | - Beat Knechtle
- Institute of Primary Care, University of Zurich, Zurich, Switzerland
| | - Georgia Trakada
- Division of Pulmonology, Department of Clinical Therapeutics, National and Kapodistrian University of Athens, School of Medicine, Alexandra Hospital, Athens, Greece
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