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Hill TD, He Q, Zhang J, Upenieks L, Ellison CG. A socioecological model of neighborhood disorder, religious attendance, and sleep efficiency. Sleep Health 2025:S2352-7218(24)00260-2. [PMID: 39788837 DOI: 10.1016/j.sleh.2024.11.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2024] [Revised: 11/05/2024] [Accepted: 11/10/2024] [Indexed: 01/12/2025]
Abstract
OBJECTIVES Drawing on the socioecological model of sleep health, we formally examine the association between neighborhood disorder and sleep efficiency. While most studies focus on direct associations with neighborhood context, we also consider whether the relationship between religious attendance and sleep efficiency varies as a function of neighborhood disorder. DESIGN We use ordinary least squares regression to model cross-sectional survey data. SETTING The United States. PARTICIPANTS The All of Us Research Program is based on a nonprobability sample of 5168 adults aged 18 and over. MEASUREMENTS Our analyses include an index of perceived neighborhood disorder, a single-item measure of religious attendance, and an objective measure of sleep efficiency based on wrist actigraphy. RESULTS While perceptions of neighborhood disorder are inversely associated with sleep efficiency, religious attendance is positively associated with sleep efficiency. The association between religious attendance and sleep efficiency did not vary across levels of neighborhood disorder. CONCLUSION Our analyses add to a growing literature on the association of neighborhood disorder with objective indicators of sleep health. To our knowledge, we are among the first to observe any association between religious attendance and sleep efficiency. We extended the socioecological model of sleep health by framing neighborhood disorder as a moderator.
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Affiliation(s)
- Terrence D Hill
- University of Texas at San Antonio, Department of Sociology and Demography, San Antonio, Texas, United States.
| | - Qiliang He
- University of Texas at San Antonio, Department of Psychology, San Antonio, Texas, United States
| | - Jennifer Zhang
- Vanderbilt University Medical Center, Vanderbilt Institute for Clinical and Translational Research, Nashville, Tennessee, United States
| | - Laura Upenieks
- Baylor University, Department of Sociology, Waco, Texas, United States
| | - Christopher G Ellison
- University of Texas at San Antonio, Department of Sociology and Demography, San Antonio, Texas, United States
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2
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Fonkoue IT, Silva M, Racette SB, Safo SE, de Las Fuentes L, Lowe D, Ebong IA, Buysse D, Reis SE, Saeed A. Sleep as a possible mediator in the association of mental health parameters with cardiovascular health indices in women: exploratory analyses from the Heart SCORE Study. Menopause 2025:00042192-990000000-00408. [PMID: 39774696 DOI: 10.1097/gme.0000000000002461] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2025]
Abstract
OBJECTIVE This exploratory study aimed to determine the possible role of sleep in the relationships of depression and anxiety, with early surrogate markers of subclinical atherosclerosis, such as brachial artery (BA) diameter and carotid intima media thickness (CIMT) in women. METHODS We included 1,075 self-reported postmenopausal women, 45 to 75 years from the Heart Strategies Concentrating on Risk Evaluation Study. Exposure variables were depression and anxiety assessed using the Center for Epidemiologic Studies Depression Scale and the State-Trait Anxiety Inventory, respectively. Outcome variables were BA diameter and CIMT measured using ultrasonography. The mediator, sleep, was assessed with the Pittsburgh Sleep Symptom Questionnaire-Insomnia. Ordinary least squares regression was used for mediation analyses. RESULTS Of the 1,075 participants, 56.3% were White and 43.7% were Black. Our analyses revealed significant associations of depression and anxiety with sleep (P < 0.001 for all). After adjusting for confounders, depression was associated with max CIMT (R2 = 0.15, P = 0.004), but not BA diameter (R2 = 0.09, P = 0.083). Although the mediating role of sleep in the association between anxiety and BA diameter was not statistically significant [proportion mediated (CI); 0.41 (-2.77, 4.06); P = 0.219], we observed differential results within each racial group. Sleep appeared to partially mediate the association of anxiety with BA diameter in White [0.21 (0.54, 0.80); P = 0.044] women only. CONCLUSIONS We found preliminary indications that sleep might mediate the association of anxiety with BA diameter in White women but does not appear to serve as a mediator in all the other relationships we examined.
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Affiliation(s)
- Ida T Fonkoue
- From the Divisions of Physical Therapy and Rehabilitation Science, Department of Family Medicine and Community Health, University of Minnesota Medical School, Minneapolis, MN
| | - Milena Silva
- Division of Biostatistics and Health Data Science, University of Minnesota, Minneapolis, MN
| | - Susan B Racette
- College of Health Solutions, Arizona State University, Phoenix, AZ
| | - Sandra E Safo
- Division of Biostatistics and Health Data Science, University of Minnesota, Minneapolis, MN
| | | | - Dawn Lowe
- From the Divisions of Physical Therapy and Rehabilitation Science, Department of Family Medicine and Community Health, University of Minnesota Medical School, Minneapolis, MN
| | - Imo A Ebong
- Department of Internal Medicine, Division of Cardiovascular Medicine, University of California Davis, Sacramento, CA
| | - Daniel Buysse
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA
| | - Steven E Reis
- Heart and Vascular Institute, University of Pittsburgh Medical Center, Pittsburgh, PA
| | - Anum Saeed
- Heart and Vascular Institute, University of Pittsburgh Medical Center, Pittsburgh, PA
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Jang Y, Chang Y, Park J, Kim C, Jeon SW, Kang J, Kwon R, Lim GY, Kim KH, Kim H, Hong YS, Park J, Zhao D, Cho J, Guallar E, Park HY, Ryu S. Menopausal stage transitions and their associations with overall and individual sleep quality in middle-aged Korean women. J Affect Disord 2025; 368:82-89. [PMID: 39265874 DOI: 10.1016/j.jad.2024.09.050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2024] [Revised: 08/31/2024] [Accepted: 09/08/2024] [Indexed: 09/14/2024]
Abstract
BACKGROUND Understanding the association between the menopausal transition and declining sleep quality can guide optimal timing for preventive interventions in transitioning women. However, studies lack representation of Asian women and sufficient data on the progression of menopausal stages and sleep quality changes over time in this population. METHODS This study included 3305 women in the pre-menopause stage at baseline. The sleep quality and its components were assessed using the Pittsburgh Sleep Quality Index (PSQI). Menopausal stages were classified as pre-menopause, early transition, late transition, and post-menopause according to the Stages of Reproductive Aging Workshop+10 (STRAW+10) criteria. We estimated the longitudinal association between menopausal stage changes over time and the PSQI score, and examined the effect of being overweight. RESULTS The trends in the PSQI scores and its components according to the menopausal stage changes over time showed that with the exception of sleep duration and habitual sleep efficiency, an overall decline was noted in sleep health during late transition and post-menopause compared to pre-menopause. These associations were independent of time-variant annual chronological aging, which was not significantly associated with sleep deterioration. Additionally, although the associations between menopausal stages and sleep quality did not significantly differ by adiposity level, the overweight group exhibited worse PSQI scores and components than did the non-overweight group. LIMITATION Sleep quality and menopausal stage were assessed using self-reported questionnaires without objective measures. CONCLUSION Our study underscores the importance of screening for sleep quality deterioration and implementing appropriate measures for women experiencing menopausal transition.
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Affiliation(s)
- Yoonyoung Jang
- Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea; Institute of Medical Research, Sungkyunkwan University School of Medicine, Suwon 16419, Republic of Korea
| | - Yoosoo Chang
- Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea; Department of Occupational and Environmental Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea; Department of Clinical Research Design & Evaluation, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul 06355, Republic of Korea.
| | - Junhee Park
- Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea; Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea
| | - Chanmin Kim
- Department of Statistics, Sungkyunkwan University, Seoul, Republic of Korea
| | - Sang Won Jeon
- Department of Psychiatry, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Jeonggyu Kang
- Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea
| | - Ria Kwon
- Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea; Institute of Medical Research, Sungkyunkwan University School of Medicine, Suwon 16419, Republic of Korea
| | - Ga-Young Lim
- Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea; Institute of Medical Research, Sungkyunkwan University School of Medicine, Suwon 16419, Republic of Korea
| | - Kye-Hyun Kim
- Department of Obstetrics and Gynecology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 03181, Republic of Korea
| | - Hoon Kim
- Department of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul 03080, Republic of Korea
| | - Yun Soo Hong
- McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jihwan Park
- Departments of Epidemiology and Medicine, and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University Bloomberg School of Public Health, Baltimore, 21205, MD, USA
| | - Di Zhao
- Departments of Epidemiology and Medicine, and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University Bloomberg School of Public Health, Baltimore, 21205, MD, USA
| | - Juhee Cho
- Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea; Department of Clinical Research Design & Evaluation, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul 06355, Republic of Korea; Departments of Epidemiology and Medicine, and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University Bloomberg School of Public Health, Baltimore, 21205, MD, USA
| | - Eliseo Guallar
- Department of Epidemiology, School of Global Public Health, New York University, New York, NY, USA
| | - Hyun-Young Park
- Department of Precision Medicine, National Institute of Health, Korea Disease Control and Prevention Agency, Cheongju 28159, Republic of Korea
| | - Seungho Ryu
- Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea; Department of Occupational and Environmental Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea; Department of Clinical Research Design & Evaluation, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul 06355, Republic of Korea.
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4
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Cacciatore S, Calvani R, Mancini J, Ciciarello F, Galluzzo V, Tosato M, Marzetti E, Landi F, Landi F, Bernabei R, Marzetti E, Calvani R, Mariotti L, Cacciatore S, Coelho-Junior HJ, Ciciarello F, Galluzzo V, Martone AM, Picca A, Russo A, Salini S, Tosato M, Abbatecola G, Agostino C, Ambrosio F, Banella F, Benvenuto C, Biscotti D, Brandi V, Bulla MM, Casciani C, Catalano L, Cocchi C, Colloca G, Cucinotta F, D'Angelo M, D'Elia M, D'Ignazio F, Elmi D, Finelli M, Fontanella FP, Fusco D, Gattari I, Gava G, Giani T, Giordano G, Giordano R, Giovanale F, Goracci S, Ialungo S, Labriola R, Levati E, Macaluso M, Marrella L, Massaro C, Montenero R, Notari MV, Paudice M, Persia M, Pirone F, Pompei S, Ragozzino R, Recupero C, Risoli A, Rizzo S, Romaniello D, Rubini G, Russo B, Satriano S, Savera G, Serafini E, Melechì AS, Simeoni F, Simoni S, Taccone C, Tagliacozzi E, Terranova R, Tupputi S, Vaccarella M, Venditti E, Zanchi C, Zuppardo M. Poor sleep quality is associated with probable sarcopenia in community-dwelling older adults: Results from the longevity check-up (lookup) 8. Exp Gerontol 2024; 200:112666. [PMID: 39709067 DOI: 10.1016/j.exger.2024.112666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2024] [Revised: 11/29/2024] [Accepted: 12/18/2024] [Indexed: 12/23/2024]
Abstract
BACKGROUND Poor sleep quality may contribute to sarcopenia, but evidence remains sparse. This retrospective cross-sectional study investigated the association between subjective sleep quality and probable sarcopenia in a cohort of community-dwelling older adults enrolled in the Longevity Check-Up 8+ study. METHODS Participants were asked about their sleep quality over the past month, with four possible options ("very good", "quite good", "quite bad", very bad"). For the analysis, participants were grouped into good or bad sleep quality categories. Probable sarcopenia was operationalized according to handgrip strength values < 27 kg for men and < 16 kg for women. Logistic regression models were used to explore the relationship between sleep quality and probable sarcopenia. RESULTS 1971 participants were included in the analysis (mean age 73.4 ± 6.2 years, 50.0 % women). Bad sleep quality was reported by 28.3 % of participants and was more prevalent among women, physically inactive individuals, and those with dyslipidemia. Probable sarcopenia was more prevalent in participants with bad sleep quality (23.8 % vs. 18.7 %, p = 0.012). Logistic regression revealed that bad sleep quality was significantly associated with increased odds of probable sarcopenia in both unadjusted (odds ratio [OR] 1.36, 95 % confidence interval [CI] 1.07-1.72, p = 0.010) and fully adjusted models (OR 1.40, 95 % CI 1.08-1.81, p = 0.011). CONCLUSIONS Poor sleep quality is associated with increased likelihood of probable sarcopenia in older adults. This finding highlights the importance of addressing sleep quality in interventions aimed at preventing sarcopenia and promoting healthy aging.
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Affiliation(s)
- Stefano Cacciatore
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, L.go F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, L.go A. Gemelli 8, 00168 Rome, Italy.
| | - Riccardo Calvani
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, L.go F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, L.go A. Gemelli 8, 00168 Rome, Italy
| | - Jasmine Mancini
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, L.go F. Vito 1, 00168 Rome, Italy
| | - Francesca Ciciarello
- Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, L.go A. Gemelli 8, 00168 Rome, Italy
| | - Vincenzo Galluzzo
- Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, L.go A. Gemelli 8, 00168 Rome, Italy
| | - Matteo Tosato
- Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, L.go A. Gemelli 8, 00168 Rome, Italy
| | - Emanuele Marzetti
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, L.go F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, L.go A. Gemelli 8, 00168 Rome, Italy.
| | - Francesco Landi
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, L.go F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, L.go A. Gemelli 8, 00168 Rome, Italy
| | - Francesco Landi
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Roberto Bernabei
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy
| | - Emanuele Marzetti
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Riccardo Calvani
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Luca Mariotti
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Stefano Cacciatore
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Hélio José Coelho-Junior
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Francesca Ciciarello
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Vincenzo Galluzzo
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Anna Maria Martone
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Anna Picca
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Department of Medicine and Surgery, LUM University, Strada Statale 100 km 18, 70100 Casamassima, Italy
| | - Andrea Russo
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Sara Salini
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Matteo Tosato
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Gabriele Abbatecola
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Clara Agostino
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Fiorella Ambrosio
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Francesca Banella
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Carolina Benvenuto
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Damiano Biscotti
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Vincenzo Brandi
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Maria Modestina Bulla
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Caterina Casciani
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Lucio Catalano
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Camilla Cocchi
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Giuseppe Colloca
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Federica Cucinotta
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Manuela D'Angelo
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Mariaelena D'Elia
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Federica D'Ignazio
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Daniele Elmi
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Marta Finelli
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Francesco Pio Fontanella
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Domenico Fusco
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Ilaria Gattari
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Giordana Gava
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Tommaso Giani
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Giulia Giordano
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Rossella Giordano
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Francesca Giovanale
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Simone Goracci
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Silvia Ialungo
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Rosangela Labriola
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Elena Levati
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Myriam Macaluso
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Luca Marrella
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Claudia Massaro
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Rossella Montenero
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Maria Vittoria Notari
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Maria Paudice
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Martina Persia
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Flavia Pirone
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Simona Pompei
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Rosa Ragozzino
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Carla Recupero
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Antonella Risoli
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Stefano Rizzo
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Daria Romaniello
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Giulia Rubini
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Barbara Russo
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Stefania Satriano
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Giulia Savera
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Elisabetta Serafini
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Annalise Serra Melechì
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Francesca Simeoni
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Sofia Simoni
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Chiara Taccone
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Elena Tagliacozzi
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Roberta Terranova
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Salvatore Tupputi
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Matteo Vaccarella
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Emiliano Venditti
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Chiara Zanchi
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Maria Zuppardo
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
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5
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Wu X, Dunietz GL, Shedden K, Chervin RD, Jansen EC, Lyu X, O’Brien LM, Baylin A, Wactawski-Wende J, Schisterman EF, Mumford SL. Correlates of multidimensional sleep in premenopausal women: The BioCycle study. SLEEP EPIDEMIOLOGY 2024; 4:100093. [PMID: 39749351 PMCID: PMC11694500 DOI: 10.1016/j.sleepe.2024.100093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/04/2025]
Abstract
Purpose To identify sleep dimensions (characteristics) that co-occur in premenopausal women. The second aim was to examine associations between multiple dimensions of sleep and a set of demographic, lifestyle, and health correlates. The overarching goal was to uncover patterns of poor-sleep correlates that might inform interventions to improve sleep health of women in this age group. Methods The BioCycle Study included 259 healthy women aged 18-44y recruited between 2005 and 2007 from Western New York. Participants reported sleep data through daily diaries and questionnaires that were used to create five sleep health dimensions (duration, variability, timing, latency, and continuity). We used multivariate analysis - canonical correlation methods - to identify links among dimensions of sleep health and patterns of demographic, psychological, and occupational correlates. Results Two distinct combinations of sleep dimensions were identified. The first - primarily determined by low variability in nightly sleep duration, low variability in bedtime (timing), greater nocturnal awakening, and less sleep onset latency - was distinguished from the second - primarily determined by sleep duration.The first combination of sleep dimensions was associated with older age and higher parity, fewer depressive symptoms, and higher stress level. The second combination of sleep dimensions was associated with perception of longer sleep duration as optimal, lower parity, not engaging in shift work, older age, lower stress level, higher prevalence of depressive symptoms, and White race. Conclusion Among premenopausal women, we demonstrated distinct patterns of sleep dimensions that co-occur and vary by demographic, health, and lifestyle correlates. These findings shed light on the correlates of sleep health vulnerabilities among young women.
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Affiliation(s)
- Xinrui Wu
- Department of Statistics, University of Michigan, Ann Arbor, MI, United States
| | - Galit Levi Dunietz
- Division of Sleep Medicine, Department of Neurology, University of Michigan, Ann Arbor, MI, United States
- Department of Nutritional Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | - Kerby Shedden
- Department of Statistics, University of Michigan, Ann Arbor, MI, United States
| | - Ronald D. Chervin
- Division of Sleep Medicine, Department of Neurology, University of Michigan, Ann Arbor, MI, United States
| | - Erica C. Jansen
- Department of Nutritional Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | - Xiru Lyu
- Department of Statistics, University of Michigan, Ann Arbor, MI, United States
| | - Louise M. O’Brien
- Division of Sleep Medicine, Department of Neurology, University of Michigan, Ann Arbor, MI, United States
| | - Ana Baylin
- Department of Nutritional Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, United States
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | - Jean Wactawski-Wende
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY, United States
| | - Enrique F. Schisterman
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Sunni L. Mumford
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
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6
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Al-Khalil Z, Attarian H, Dunietz GL, Gavidia Romero R, Knutson K, Johnson DA. Sleep health inequities in vulnerable populations: Beyond sleep deserts. Sleep Med X 2024; 7:100110. [PMID: 38623559 PMCID: PMC11017343 DOI: 10.1016/j.sleepx.2024.100110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/24/2023] [Revised: 03/21/2024] [Accepted: 03/29/2024] [Indexed: 04/17/2024] Open
Abstract
Despite the importance of sleep to overall health and well-being, there is a high prevalence of undiagnosed sleep disorders and adverse sleep health, particularly among vulnerable populations. Such vulnerable populations include people experiencing homelessness (PEH), refugees, and incarcerated individuals. In this narrative review, we provide an overview of the literature on sleep health and disorders among key and vulnerable populations (e.g., PEH, refugees, and incarcerated individuals). The limited research among these populations indicated a high prevalence of sleep disorders, mainly insomnia, short sleep duration, and fatigue. Substance abuse and PTSD were commonly found among PEH and refugee populations, respectively, which were was related to poor sleep. Similar across the included vulnerable populations, the individuals reside in environments/facilities with inopportune light exposure, noise disruption, inadequate bedding, and forced sleep schedules. Studies also found a high prevalence of psychosocial stress and reports of threats to safety, which were associated with poor sleep health outcomes. Additionally, several studies reported environmental barriers to adherence to sleep disorder treatment. This paper highlighted the conditions in which these vulnerable populations reside, which may inform interventions within these various facilities (homeless shelters, refugee camps, prisons/jails). The improvement of these facilities with a sleep equity focus may in turn improve quality of life and daily functioning.
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Affiliation(s)
| | - Hrayr Attarian
- Department of Neurology, Northwestern University Feinberg School of Medicine, USA
| | - Galit Levi Dunietz
- Department of Neurology, School of Medicine, University of Michigan, USA
| | | | - Kristen Knutson
- Department of Neurology, Northwestern University Feinberg School of Medicine, USA
| | - Dayna A. Johnson
- Department of Epidemiology, Rollins School of Public Health, Emory University, USA
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7
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Gaston SA, Payne C, Alhasan DM, Singh R, Murkey JA, Jackson WB, Jackson CL. Neighborhood social cohesion and sleep health among sexual minoritized US adults and intersections with sex/gender, race/ethnicity, and age. Sleep Health 2024:S2352-7218(24)00234-1. [PMID: 39567274 DOI: 10.1016/j.sleh.2024.10.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Revised: 09/30/2024] [Accepted: 10/12/2024] [Indexed: 11/22/2024]
Abstract
OBJECTIVES Neighborhood social cohesion or living in communities characterized by trust and social ties may mitigate sleep disparities among sexual minoritized vs. heterosexual persons; but its relation to sleep health is understudied among sexual minoritized groups. To investigate associations between perceived neighborhood social cohesion and sleep health among adult US men and women who identified as "lesbian or gay, bisexual, or something else," we used cross-sectional National Health Interview Survey data (2013-2018). METHODS Participants reported neighborhood social cohesion (categorized as low or medium vs. high) and sleep characteristics. Adjusting for sociodemographic, health, and residential characteristics, we used Poisson regression with robust variance to estimate prevalence ratios (PRs) and 95% confidence intervals for poor sleep. RESULTS Among 4666 sexual minoritized adults, 44% reported low, 32% medium, and 24% high neighborhood social cohesion. Women, minoritized racial/ethnic groups, and young adults disproportionately reported low neighborhood social cohesion. Overall, low vs. high neighborhood social cohesion was associated with a higher prevalence of short sleep (PR=1.27 [95% confidence interval:1.11-1.45]) and all sleep disturbances (e.g., PRinsomnia symptoms=1.36 [1.19-1.55]). PRs were often higher as intersectionality or membership to multiple minoritized groups increased. CONCLUSIONS Lower perceived neighborhood social cohesion was associated with poorer sleep. Fostering community cohesiveness may mitigate sleep disparities among sexual minoritized adults.
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Affiliation(s)
- Symielle A Gaston
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina, USA
| | | | - Dana M Alhasan
- Department of Public Health Sciences, University of North Carolina, Charlotte, Charlotte, North Carolina, USA
| | - Rupsha Singh
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA
| | - Jamie A Murkey
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina, USA
| | | | - Chandra L Jackson
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina, USA; Division of Intramural Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, Maryland, USA.
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8
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Zhang TT, Buckman JEJ, Suh JW, Stott J, Singh S, Jena R, Naqvi SA, Pilling S, Cape J, Saunders R. Identifying trajectories of change in sleep disturbance during psychological treatment for depression. J Affect Disord 2024; 365:659-668. [PMID: 39142574 DOI: 10.1016/j.jad.2024.08.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Revised: 07/02/2024] [Accepted: 08/09/2024] [Indexed: 08/16/2024]
Abstract
BACKGROUND Sleep disturbance may impact response to psychological treatment for depression. Understanding how sleep disturbance changes during the course of psychological treatment, and identifying the risk factors for sleep disturbance response may inform clinical decision-making. METHOD This analysis included 18,915 patients receiving high-intensity psychological therapy for depression from one of eight London-based Improving Access to Psychological Therapies (IAPT) services between 2011 and 2020. Distinct trajectories of change in sleep disturbance were identified using growth mixture modelling. The study also investigated associations between identified trajectory classes, pre-treatment patient characteristics, and eventual treatment outcomes from combined PHQ-9 and GAD-7 metrics used by the services. RESULTS Six distinct trajectories of sleep disturbance were identified: two demonstrated improvement, while one showed initial deterioration and the other three groups displayed only limited change in sleep disturbance, each with varying baseline sleep disturbance. Associations with trajectory class membership were found based on: gender, ethnicity, employment status, psychotropic medication use, long-term health condition status, severity of depressive symptoms, and functional impairment. Groups that showed improvement in sleep had the best eventual outcomes from depression treatment, followed by groups that consistently slept well. LIMITATION Single item on sleep disturbance used, no data on treatment adherence. CONCLUSIONS These findings reveal heterogeneity in the course of sleep disturbance during psychological treatment for depression. Closer monitoring of changes in sleep disturbance during treatment might inform treatment planning. This includes decisions about when to incorporate sleep management interventions, and whether to change or augment therapy with interventions to reduce sleep disturbance.
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Affiliation(s)
- T T Zhang
- CORE Data Lab, Centre for Outcomes Research and Effectiveness (CORE), Research Department of Clinical, Educational, and Health Psychology, UCL, London, United Kingdom
| | - J E J Buckman
- CORE Data Lab, Centre for Outcomes Research and Effectiveness (CORE), Research Department of Clinical, Educational, and Health Psychology, UCL, London, United Kingdom; iCope -Camden and Islington Psychological Therapies Services - Camden & Islington NHS Foundation Trust, London, United Kingdom
| | - J W Suh
- CORE Data Lab, Centre for Outcomes Research and Effectiveness (CORE), Research Department of Clinical, Educational, and Health Psychology, UCL, London, United Kingdom
| | - J Stott
- Adapt Lab, Research Department of Clinical Educational and Health Psychology, UCL, London, United Kingdom
| | - S Singh
- Waltham Forest Talking Therapies - North East London NHS Foundation Trust, London, United Kingdom
| | - R Jena
- Waltham Forest Talking Therapies - North East London NHS Foundation Trust, London, United Kingdom
| | - S A Naqvi
- Barking & Dagenham and Havering IAPT services - North East London NHS Foundation Trust, London, United Kingdom
| | - S Pilling
- CORE Data Lab, Centre for Outcomes Research and Effectiveness (CORE), Research Department of Clinical, Educational, and Health Psychology, UCL, London, United Kingdom; Camden and Islington NHS Foundation Trust, London, United Kingdom
| | - J Cape
- CORE Data Lab, Centre for Outcomes Research and Effectiveness (CORE), Research Department of Clinical, Educational, and Health Psychology, UCL, London, United Kingdom
| | - R Saunders
- CORE Data Lab, Centre for Outcomes Research and Effectiveness (CORE), Research Department of Clinical, Educational, and Health Psychology, UCL, London, United Kingdom.
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9
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Salwen-Deremer JK, Westvold SJ, Siegel CA, Smith MT. The Bidirectional Relationship Between Sleep and Pain in Crohn's Disease: A Daily Diary Study. Inflamm Bowel Dis 2024:izae265. [PMID: 39536319 DOI: 10.1093/ibd/izae265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/20/2024] [Indexed: 11/16/2024]
Abstract
BACKGROUND Pain is common in Crohn's disease (CD) even after endoscopic healing is achieved. Depression, sleep disturbances, fatigue, and worry about pain impact the pain experience. There is a bidirectional relationship between sleep and pain, though it has received minimal attention in CD. Herein, we sought to comprehensively assess this relationship in CD using daily diaries. METHOD Patients with active symptoms of insomnia and CD were recruited as part of an ongoing clinical trial. Participants completed 14-day diaries on sleep patterns and CD symptoms. Temporal associations between sleep and pain were assessed using cross-lagged path analysis and controlled for age, sex, and menstrual cycle. RESULTS Overall, 26 participants completed 14-day diaries. All assessed aspects of sleep continuity disturbance were associated with worse next-day abdominal pain (Ps < 0.01). When assessed microlongitudinally, sleep onset latency predicted next-day pain (P = 0.07) and vice versa (P = 0.03). Similarly, nightly awakenings predicted next day pain (P = 0.02) and vice versa (P = 0.04). Sleep efficiency (P = 0.003), sleep quality (P < 0.001), and total sleep time (P = 0.04) predicted next-day pain whereas models with pain as the predictor were not significant. CONCLUSIONS Sleep continuity and abdominal pain are closely related, with sleep efficiency, total sleep time, and sleep quality potentially driving next-day abdominal pain. As interventions for pain in IBD are limited, it may be important to capitalize on the impact of sleep disturbances on pain to optimize overall wellbeing in people with CD.
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Affiliation(s)
- Jessica K Salwen-Deremer
- Department of Psychiatry, Dartmouth Hitchcock Medical Center, 1 Medical Center Drive, Lebanon, NH 03756, USA
- Center for Digestive Health, Section of Gastroenterology and Hepatology, Dartmouth-Hitchcock Medical Center, 1 Medical Center Drive, Lebanon, NH 03756, USA
| | - Sarah J Westvold
- General Internal Medicine, Yale School of Medicine, 333 Cedar St, New Haven, CT 06510, USA
| | - Corey A Siegel
- Center for Digestive Health, Section of Gastroenterology and Hepatology, Dartmouth-Hitchcock Medical Center, 1 Medical Center Drive, Lebanon, NH 03756, USA
| | - Michael T Smith
- Department of Psychology and Behavioral Sciences, Johns Hopkins School of Medicine, 5510 Nathan Shock Drive, Baltimore, MD 21224, USA
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10
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Cohen O, Kundel V, Barbé F, Peker Y, McEvoy D, Sánchez-de-la-Torre M, Gottlieb DJ, Bradley TD, Suárez-Fariñas M, Zinchuk A, Azarbarzin A, Malhotra A, Schotland H, Gozal D, Jelic S, Ramos AR, Martin JL, Pamidi S, Johnson DA, Mehra R, Somers VK, Hoyos CM, Jackson CL, Alcantara C, Billings ME, Bhatt DL, Patel SR, Redline S, Yaggi HK, Shah NA. The Great Controversy of Obstructive Sleep Apnea Treatment for Cardiovascular Risk Benefit: Advancing the Science Through Expert Consensus. An Official American Thoracic Society Workshop Report. Ann Am Thorac Soc 2024; 22:1-22. [PMID: 39513996 PMCID: PMC11708754 DOI: 10.1513/annalsats.202409-981st] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2024] [Indexed: 11/16/2024] Open
Abstract
The prevalence of obstructive sleep apnea (OSA) is on the rise, driven by various factors including more sensitive diagnostic criteria, increased awareness, enhanced technology through at-home testing enabling easy and cost-effective diagnosis, and a growing incidence of comorbid conditions such as obesity. Treating symptomatic patients with OSA syndrome to enhance quality of life remains a cornerstone approach. However, there is a lack of consensus regarding treatment to improve cardiovascular disease (CVD) outcomes, particularly in light of overall negative results from several randomized controlled trials (RCT) indicating no benefit of positive airway pressure (PAP) therapy on primary and secondary CVD events. These RCTs were limited by suboptimal PAP adherence, use of composite CVD outcomes, and limited diversity and generalizability to Sleep Clinic patients. As such, this workshop assembled clinical experts, as well as researchers in basic and translational science, epidemiology, clinical trials, and population health to discuss the current state, and future research directions to guide personalized therapeutic strategies and future research directions in OSA. There was overall consensus among workshop participants that OSA represents a heterogeneous disease with variable endotypes and phenotypes, and heterogeneous responses to treatment. Future research should prioritize employing multi-modal therapeutic approaches within innovative and adaptive trial designs, focusing on specific subgroups of OSA patients hypothesized to benefit from a CVD perspective. Future work should also be inclusive of diverse populations and consider the life-course of OSA to better comprehend treatment strategies that can address the disproportionate impact of OSA on racially minoritized groups. Further, a more holistic approach to sleep must be adopted to include broader assessments of symptoms, sleep duration, and comorbid sleep and circadian disorders. Finally, it is imperative to establish a sleep research consortium dedicated to collecting raw data and biospecimens categorized by OSA subtypes. This will facilitate mechanistic determinations, foster collaborative research, and help bolster the pipeline of early-career researchers.
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Affiliation(s)
- Oren Cohen
- Icahn School of Medicine at Mount Sinai, Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, New York, New York, United States
| | - Vaishnavi Kundel
- Icahn School of Medicine at Mount Sinai, Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, New York, New York, United States
| | - Ferran Barbé
- University Hospital Arnau de Vilanova and Santa Maria, IRBLleida, Translational Research in Respiratory Medicine, Lleida, Spain
- Carlos III Health Institute, CIBER of Respiratory Diseases (CIBERES), Madrid, Comunidad de Madrid, Spain
| | - Yüksel Peker
- Koc University School of Medicine, Department of Pulmonary Medicine, Istanbul, Turkey
| | - Doug McEvoy
- Flinders University, Adelaide Institute for Sleep Health, Flinders Health and Medical Research Institute, Adelaide, Australia
| | - Manuel Sánchez-de-la-Torre
- Hospital Nacional de Parapléjicos de Toledo, Group of Precision Medicine in Chronic Diseases, Toledo, Castilla-La Mancha, Spain
- CIBERES, Centro de Investigación Biomédica en Red de Enfermedades Respiratorias, Madrid, Comunidad de Madrid, Spain
- University of Castilla-La Mancha, Department of Nursing, Physiotherapy and Occupational Therapy, Faculty of Physiotherapy and Nursing, Toledo, Spain
| | - Daniel J Gottlieb
- VA Boston Healthcare System, Department of Medicine, Boston, Massachusetts, United States
- Brigham and Women's Hospital, Division of Sleep and Circadian Disorders, Boston, Massachusetts, United States
| | - T Douglas Bradley
- University Health Network Toronto Rehabilitation Institute (KITE), Toronto, Ontario, Canada
- Toronto General Hospital, Department of Medicine, Toronto, Ontario, Canada
| | - Mayte Suárez-Fariñas
- Icahn School of Medicine at Mount Sinai, Center for Biostatistics, Department of Population Health Science and Policy, New York, New York, United States
| | - Andrey Zinchuk
- Yale School of Medicine, Department of Internal Medicine, New Haven, Connecticut, United States
| | - Ali Azarbarzin
- Brigham and Women's Hospital, Division of Sleep and Circadian Disorders, Boston, Massachusetts, United States
- Harvard Medical School, Boston, Massachusetts, United States
| | - Atul Malhotra
- University of California San Diego, Division of Pulmonary, Critical Care, Sleep Medicine, and Physiology, La Jolla, California, United States
| | - Helena Schotland
- Icahn School of Medicine at Mount Sinai, Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, New York, New York, United States
| | - David Gozal
- Marshall University Joan C Edwards School of Medicine, Office of the Dean, Huntington, West Virginia, United States
| | - Sanja Jelic
- Columbia University Medical Center, Division of Pulmonary, Allergy and Critical Care Medicine, New York, New York, United States
| | - Alberto R Ramos
- University of Miami Miller School of Medicine, Sleep Disorders Program, Department of Neurology, Miami, Florida, United States
| | - Jennifer L Martin
- VA Greater Los Angeles Healthcare System, Geriatric Research, Education, and Clinical Center, Los Angeles, California, United States
- University of California Los Angeles, David Geffen School of Medicine, Los Angeles, California, United States
| | - Sushmita Pamidi
- McGill University, Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada
| | - Dayna A Johnson
- Emory University, Department of Epidemiology, Rollins School of Public Health, Atlanta, Georgia, United States
| | - Reena Mehra
- University of Washington, Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, Seattle, Washington, United States
| | - Virend K Somers
- Mayo Clinic, Department of Cardiovascular Medicine, Rochester, Minnesota, United States
| | - Camilla M Hoyos
- Macquarie University Faculty of Medicine Health and Human Sciences, Department of Health Science, Sydney, New South Wales, Australia
- Woolcock Institute of Medical Research, Centre for Sleep and Chronobiology, Glebe, New South Wales, Australia
- Macquarie University, NHMRC Centre of Research Excellence to Optimise Sleep in Brain Ageing and Neurodegeneration (CogSleep), Sydney, New South Wales, Australia
| | - Chandra L Jackson
- National Institutes of Health, Earl Stadtman Investigator, Epidemiology Branch, Social and Environmental Determinants of Health Equity, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, United States
| | - Carmela Alcantara
- Columbia University, School of Social Work, New York, New York, United States
| | - Martha E Billings
- University of Washington, Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, Seattle, Washington, United States
| | - Deepak L Bhatt
- Icahn School of Medicine at Mount Sinai, Mount Sinai Fuster Heart Hospital, New York, New York, United States
| | - Sanjay R Patel
- University of Pittsburgh, Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Pittsburgh, Pennsylvania, United States
| | - Susan Redline
- Brigham and Women's Hospital, Division of Sleep and Circadian Disorders, Boston, Massachusetts, United States
- Harvard Medical School, Boston, Massachusetts, United States
- Harvard T H Chan School of Public Health, Boston, Massachusetts, United States
| | - Henry K Yaggi
- Yale School of Medicine, Section of Pulmonary, Critical Care and Sleep Medicine, New Haven, Connecticut, United States
- Connecticut Department of Veterans' Affairs, Clinical Epidemiology Research Center, West Haven, Connecticut, United States
| | - Neomi A Shah
- Icahn School of Medicine at Mount Sinai, Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, New York, New York, United States;
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Hokett E, Lao P, Avila-Rieger J, Turney IC, Adkins-Jackson PB, Johnson DA, Davidson P, Chen R, Shechter A, Osorio RS, Brickman AM, Palta P, Manly JJ. Interactions among neighborhood conditions, sleep quality, and episodic memory across the adult lifespan. ETHNICITY & HEALTH 2024; 29:809-827. [PMID: 39044310 PMCID: PMC11410512 DOI: 10.1080/13557858.2024.2379116] [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] [Indexed: 07/25/2024]
Abstract
OBJECTIVES On average, adults racialized as non-Hispanic Black and Hispanic sleep more poorly than adults racialized as non-Hispanic White (hereafter, Black, Hispanic, White), but associations between factors that may moderate sleep-memory associations in these groups, such as neighborhood conditions, are unclear. Poorer neighborhood conditions (e.g. lower neighborhood cohesion) may be negatively associated with sleep quality and multiplicatively influence sleep-memory associations. We hypothesized lower ratings of neighborhood conditions would be associated with poorer sleep quality and moderate the association between sleep quality and episodic memory, especially in Black and Hispanic adults, who are disproportionately situated in poor neighborhood conditions. DESIGN Seven-hundred-thirty-six adults across the adult lifespan (27-89 years) were recruited from the northern Manhattan community as a part of the Offspring Study of Racial and Ethnic Disparities in Alzheimer's disease. Sleep quality was assessed using a modified version of the Pittsburgh Sleep Quality Index, and episodic memory was evaluated with the Buschke Selective Reminding Test. With multiple regression models, we measured associations between perceived neighborhood conditions and sleep quality and the interaction between sleep quality and neighborhood conditions on episodic memory stratified by racial/ethnic and gender identity groups. RESULTS Overall, poorer neighborhood conditions were associated with poorer sleep quality. In Black and Hispanic women, the sleep-memory association was moderated by neighborhood conditions. With more favorable neighborhood conditions, Black women showed an association between higher sleep quality and higher memory performance, and Hispanic women showed a protective effect of neighborhood (higher memory even when sleep quality was poor). CONCLUSION Poorer neighborhood experiences may contribute to poorer sleep quality across groups. In Black and Hispanic women, the association between sleep quality and episodic memory performance was dependent upon neighborhood conditions. These findings may inform tailored, structural level sleep interventions, aimed to improve neighborhood experiences and thereby sleep quality and episodic memory.
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Affiliation(s)
- Emily Hokett
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, New York
- Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, New York
- Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, New York
| | - Patrick Lao
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, New York
- Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, New York
- Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, New York
| | - Justina Avila-Rieger
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, New York
- Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, New York
- Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, New York
| | - Indira C. Turney
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, New York
- Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, New York
- Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, New York
| | | | | | - Per Davidson
- Department of Psychology, Kristianstad University
| | - Ruijia Chen
- Department of Epidemiology, Boston University
| | | | | | - Adam M. Brickman
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, New York
- Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, New York
- Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, New York
| | - Priya Palta
- Department of Neurology, University of North Carolina, Chapel Hill
| | - Jennifer J. Manly
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, New York
- Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, New York
- Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, New York
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12
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Cason-Wilkerson R, Sherrill A, Simon SL, Thompson DA, Kaar JL. Perceptions of sleep health among African American mothers regarding their preschool-aged children: A qualitative study to decrease sleep health disparities. Sleep Health 2024; 10:527-532. [PMID: 38955582 PMCID: PMC11416339 DOI: 10.1016/j.sleh.2024.03.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 03/25/2024] [Accepted: 03/30/2024] [Indexed: 07/04/2024]
Abstract
OBJECTIVES African American children are documented as having poor sleep health due to shorter sleep duration, sleep timing, and sleep behaviors compared to White peers, contributing to child health disparities. Identifying cultural-environmental, and societal factors impacting a child's sleep among African American families is essential for developing interventions for this population. This study evaluated holistically why African American children may have poorer sleep health by examining sleep duration, timing, and behaviors. This was assessed by examining sleep-related beliefs, barriers, and facilitators to sleep schedules and routines. We also explored parental ideas for a sleep intervention. METHODS African American mothers of preschool-aged children (2-5years) were recruited using local partnerships and social media. Individual semistructured interviews were conducted by phone. Interviews were transcribed, coded, and analyzed thematically using grounded-theory. RESULTS Eighteen African American mothers completed the study. Five themes related to sleep emerged: The importance of adequate nighttime sleep, the influence of family and friends on parental sleep practices, the relationship between environmental and home dynamics on child sleep duration, the impact of acute and chronic societal-level stressors on family sleep health, and considerations for culturally tailored interventions to improve child sleep health. CONCLUSIONS Good sleep health was important among African American mothers. Cultural-environmental and societal factors significantly impact children's sleep health. Clinicians and researchers should be aware of financial resources and home dynamics leading to challenges with adequate sleep health when developing or adapting sleep interventions. Identifying cultural-environmental, and societal factors must be considered for targeted efforts to improve sleep health in African American children.
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Affiliation(s)
- Rochelle Cason-Wilkerson
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
| | - Ashley Sherrill
- Department of Family Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Stacey L Simon
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Darcy A Thompson
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Jill L Kaar
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
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13
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Lorenzo K, Xie M, Cham H, El-Sheikh M, Yip T. Corresponding Changes in Sleep and Discrimination: A Three-year Longitudinal Study Among Ethnically/Racially Diverse Adolescents. J Youth Adolesc 2024:10.1007/s10964-024-02086-4. [PMID: 39298096 DOI: 10.1007/s10964-024-02086-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2024] [Accepted: 09/08/2024] [Indexed: 09/21/2024]
Abstract
Although research has established the immediate, detrimental impact of discrimination on sleep, how changes in experiences of discrimination may be related to changes in sleep duration over multiple years is less clear. This three-year longitudinal study investigated: (1) intercept-only and linear trajectories of sleep and everyday discrimination across three years of high school; (2) ethnic/racial differences in these trajectories; and (3) the associations between changes in sleep and changes in everyday discrimination. The sample consisted of ethnically/racially minoritized adolescents from five northeast U.S. public high schools (n = 329; 70% female, 30% male, 0% non-binary; 42% Asian, 21% Black, 37% Latiné; Mage = 14.72, SD = 0.54). Latent growth curve models found that both sleep duration and everyday discrimination declined linearly throughout the first three years of high school and varied by race/ethnicity. Asian adolescents reported longer sleep duration in the 9th grade relative to Black and Latiné adolescents but underwent a significant decline such that these differences were no longer significant in the 10th and 11th grades. In addition, Black and Latiné, but not Asian, adolescents reported a significant decline in discrimination from the 9th-11th grades. Although average sleep duration declined for the entire sample, slower declines in discrimination were associated with faster decreases in sleep duration. This was particularly salient among Black adolescents. The current study contributes to research on ethnic/racial disparities in sleep by highlighting that everyday discrimination can have both an immediate and cumulative detrimental impact on sleep duration.
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Affiliation(s)
- Kyle Lorenzo
- Department of Psychology, Fordham University, Bronx, USA
| | - Mingjun Xie
- Institute of Developmental Psychology, Beijing Normal University, Beijing, China.
| | - Heining Cham
- Department of Psychology, Fordham University, Bronx, USA
| | - Mona El-Sheikh
- Department of Human Development & Family Science, Auburn University, Auburn, USA
| | - Tiffany Yip
- Department of Psychology, Fordham University, Bronx, USA
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14
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Aqua JK, Barnum O, Johnson DA. Sleep as a contributor to socioeconomic disparities in hypertension: The Midlife in the United States (MIDUS II) Study. Sleep 2024; 47:zsae142. [PMID: 38940471 DOI: 10.1093/sleep/zsae142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 06/13/2024] [Indexed: 06/29/2024] Open
Abstract
STUDY OBJECTIVES Hypertension is highly prevalent and is a major risk factor for cardiovascular disease. There is a higher burden of hypertension among individuals of lower socioeconomic status (SES), yet the role of sleep in understanding socioeconomic disparities in hypertension is unclear. We investigated whether sleep quality is a partial mediator of the association between SES and hypertension. METHODS We used data from the Midlife in the United States II Study, 2004-2009 (n = 426). Analyses were conducted in 2023. Participants underwent 7-day actigraphy and clinical assessments. Sleep quality measures included actigraphy-defined wakefulness after sleep onset (WASO) and sleep efficiency. Hypertension was measured via three consecutive blood pressure readings, and SES was measured via educational attainment. Models were fit adjusting for age, gender, race, body mass index, and perceived stress. RESULTS Participants had a mean age of 53.5 years (SD = 12.4) and 41.0% were African American. The prevalences of poor WASO (>30 minutes), low sleep efficiency (<85%), and hypertension were 77.7%, 67.1%, and 61.0%, respectively. Education was not associated with hypertension. However, individuals with low vs. high sleep efficiency had 24% higher prevalence of hypertension (aPR = 1.24, 95% CI: 1.02 to 1.51), higher systolic blood pressure (aβ = 4.61, 95% CI: 0.69 to 8.53), and higher diastolic blood pressure (aβ = 2.50, 95% CI: 0.10 to 4.89). Education was not significantly associated with sleep after adjustment. There was no evidence of sleep mediating the SES-hypertension relation. CONCLUSIONS Effective interventions to lower hypertension prevalence should consider targeting sleep quality. Future research should explore the intersectionality of SES and race in hypertension.
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Affiliation(s)
- Jasmine Ko Aqua
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Olivia Barnum
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Dayna A Johnson
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
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Rastegar P, Zendels P, Peterman A. Discrimination in Middle Eastern and North African Americans predicts Worse Mental Health as Mediated by Sleep. J Racial Ethn Health Disparities 2024:10.1007/s40615-024-02149-z. [PMID: 39227546 DOI: 10.1007/s40615-024-02149-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2024] [Revised: 08/18/2024] [Accepted: 08/20/2024] [Indexed: 09/05/2024]
Abstract
Discrimination is a salient stressor linked with a variety of health outcomes including depression and anxiety among Middle Eastern and North African Americans (MENA). Among other minoritized racial and ethnic groups, sleep difficulties have been identified as potential mechanisms that explain the relationship between discrimination and mental health. However, this has not been explored within MENA samples. Thus, the focus of this study is to examine if two sleep measures (e.g., sleep disturbance and sleep-related impairment) mediate the relationship between discrimination and two mental health outcomes: depression and anxiety. We recruited 126 MENA adults from across the USA through Prolific. Findings revealed that sleep-related impairment fully mediated the relationship between discrimination and mental health outcomes, whereas sleep disturbances only partially mediated these outcomes. Results suggest sleep difficulties are one pathway that could explain the relationship between discrimination and mental health among MENA. Future work should continue to explore this relationship, as well as investigate discrimination and sleep as possible places of intervention to protect the health of MENA individuals.
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Affiliation(s)
- Pedram Rastegar
- Health Psychology PhD Program, University of North Carolina at Charlotte, 9201 University City Boulevard Colvard, Charlotte, NC, 28223, USA.
| | - Philip Zendels
- Health Psychology PhD Program, University of North Carolina at Charlotte, 9201 University City Boulevard Colvard, Charlotte, NC, 28223, USA
| | - Amy Peterman
- Health Psychology PhD Program, University of North Carolina at Charlotte, 9201 University City Boulevard Colvard, Charlotte, NC, 28223, USA
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Motta AJP, Lucchese R, Leão GCS, Rosa DE, Gonçalves VDA, Mendonça RS. Factors Associated with Poor Sleep Quality in Postpartum Women: A Crossectional Study. Sleep Sci 2024; 17:e263-e271. [PMID: 39268347 PMCID: PMC11390174 DOI: 10.1055/s-0044-1782174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Accepted: 10/03/2023] [Indexed: 09/15/2024] Open
Abstract
Objective This study aimed to analyze the factors associated with poor sleep quality in women in the postpartum period who were assisted in a municipality in central Brazil. Material and Methods This is a cross-sectional study ( n = 400) conducted virtually from 2020 to 2021. Sociodemographic and clinical characteristics, self-perceived sleep, and the Pittsburgh Sleep Quality Index (PSQI) were assessed. Results It was identified that 82% of postpartum women were between 18 and 35-years-old and had an average monthly household income of R$2,339.27 ± 1,812.95. It was also found that 33.50% (95% CI: 28.7-38.0) had sleep disorders (PSQI >10); 70.25% (95%CI 65.8-74.8) had poor sleep quality (PSQI >5); 57.4% (95% CI: 52.0-63.1) had inadequate sleep on weekdays/workdays; and 64.1% (95% CI 59.3-69.2) had unsuitable sleep on weekends/days off. It was found that the factors associated with sleep disturbance were: age between <18 years and >35 years ( p = 0.048); difficulty to think clearly ( p = 0.043); frequent sadness ( p = 0.046); poor sleep quality; low income ( p = 0.030); difficulty to think clearly ( p = 0.013); and loss of interest in things ( p = 0.030). As for sleep on weekdays, the associated factors were: marital status without a partner ( p = 0.008); and being a victim of physical violence ( p = 0.003). Finally, for sleep on weekends/off: nonwhite skin-color ( p = 0.039); and having postpartum depression ( p = 0.029). Conclusion The findings of the present study call attention to the impacts of changes in women's bodies, behavior, and interpersonal relationships caused by the arrival of a newborn. We also highlight the need for a multidisciplinary and comprehensive medical approach in this period.
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Affiliation(s)
| | - Roselma Lucchese
- Institute of Biotechnology, University Federal of Catalão, Catalão, GO, Brazil
| | | | - Dayane Eusenia Rosa
- Institute of Biotechnology, University Federal of Catalão, Catalão, GO, Brazil
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Omenka O, Briggs A, Nunes J, Seixas A, Williams N, Jean-Louis G. Ethical and Policy Implications of Racial and Ethnic Healthcare Disparities in Sleep Health. J Racial Ethn Health Disparities 2024; 11:2509-2515. [PMID: 37488315 DOI: 10.1007/s40615-023-01716-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 07/03/2023] [Accepted: 07/06/2023] [Indexed: 07/26/2023]
Abstract
Despite efforts in recent years, including in policy and research, to address health disparities in the United States, many of those disparities continue to fester in marginalized racial/ethnic populations. Understanding sleep health disparities is critical in understanding the health and wellness of these groups. Using obstructive sleep apnea (OSA) in Black populations as a focus, this paper presents the role of race and ethnicity in the clinical understanding of sleep health-related issues by medical practitioners and the implications of the lack of clear policies or best practices to guide medical practitioners' attempts to meet sleep-related needs of marginalized racial/ethnic populations. Furthermore, the knowledge gap may be further complicated by the poor understanding and integration of existing evidence with the many, complex, sleep-associated co-morbidities. Policymaking in this area ought to be based on the ethical implications of disparate sleep-related health outcomes by race and ethnicity. So, we conclude by offering recommendations for developing ethically sound policies for addressing sleep problems in marginalized racial and ethnic populations.
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Affiliation(s)
- Ogbonnaya Omenka
- Department of Health Sciences, Butler University College of Pharmacy and Health Sciences, 4600 Sunset Avenue, Indianapolis, IN, USA.
| | - Anthony Briggs
- Department of Psychiatry, University of Miami Leonard M. Miller School of Medicine, Miami, FL, USA
| | - Joao Nunes
- Department of Behavioral Sciences, City College of New York, New York, NY, USA
| | - Azizi Seixas
- Media and Innovation Lab, University of Miami Leonard M. Miller School of Medicine, Miami, FL, USA
| | - Nastasha Williams
- Department of Population Health, NYU Grossman School of Medicine, New York, NY, USA
| | - Girardin Jean-Louis
- Department of Psychiatry, University of Miami Leonard M. Miller School of Medicine, Miami, FL, USA
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Liu X, Li J, Cho Y, Wu B. Heterogeneities in sleep duration and quality among U.S. immigrants from different racial and ethnic backgrounds. Sleep Health 2024; 10:393-401. [PMID: 38777645 PMCID: PMC11309898 DOI: 10.1016/j.sleh.2024.03.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2024] [Revised: 03/07/2024] [Accepted: 03/27/2024] [Indexed: 05/25/2024]
Abstract
OBJECTIVES Sleep plays an essential role in well-being. Although U.S. immigrants are considerably growing, few studies have examined sleep in this diverse population, particularly those from Asian backgrounds. It is also unclear how sleep differs by the length of residence across immigrant groups. In this study, we examined the relationships among race/ethnicity, length of residence, and sleep using a nationally representative cohort of U.S. immigrants. METHODS We analyzed data from the 2013-2018 National Health Interview Survey. The sample (N = 27,761; 14% ≥65 years old) included foreign-born adults from the following racial/ethnic backgrounds: non-Hispanic White, non-Hispanic Black, Asian (Chinese, Filipino, Asian Indian), and Hispanic/Latino. Length of residence was categorized as <5, 5-9, 10-14, and ≥15years. Sleep was assessed with self-reported sleep duration (normal, short, and long) and poor sleep quality (trouble falling asleep, trouble staying asleep, and waking up unrested). RESULTS Filipino and Hispanic/Latino immigrants reported the highest prevalence of short (41.8%) and long (7.0%) sleep, respectively. Non-Hispanic White immigrants had the highest prevalence rate across all three poor sleep quality measures (range 17.7-41.5%). Length of residence ≥15years was significantly associated with worse sleep, and it moderated White-Asian differences in sleep quality. Immigrants from different racial/ethnic groups showed variations in sleep patterns as they resided longer in the US. CONCLUSIONS Immigrants exhibited substantial heterogeneities in sleep. Future research should investigate the contributing factors to the variations in their sleep patterns, both between groups and within the same group of immigrants, in order to inform tailored interventions.
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Affiliation(s)
- Xiaoyue Liu
- New York University Rory Meyers College of Nursing, New York, New York, USA.
| | - Junxin Li
- Johns Hopkins School of Nursing, Baltimore, Maryland, USA
| | - Yeilim Cho
- Veteran's Affairs Puget Sound Health Care System, VISN20 Mental Illness Research Education Clinical Center, Seattle, Washington, USA
| | - Bei Wu
- New York University Rory Meyers College of Nursing, New York, New York, USA; New York University College of Dentistry, New York, New York, USA
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Muller D, Signal TL, Shanthakumar M, Fleming T, Clark TC, Crengle S, Donkin L, Paine SJ. Inequities in adolescent sleep health in Aotearoa New Zealand: Cross-sectional survey findings. Sleep Health 2024; 10:385-392. [PMID: 38910037 DOI: 10.1016/j.sleh.2024.05.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 05/13/2024] [Accepted: 05/22/2024] [Indexed: 06/25/2024]
Abstract
OBJECTIVES To investigate ethnic inequities in, and social determinants of, adolescent sleep health in Aotearoa New Zealand. METHODS Analysis of self-report data from a cross-sectional survey of secondary school students (12- to 18-year-olds). Analyses included weighted prevalence estimates of good and poor sleep health stratified by ethnicity, and multivariable logistic regression models concurrently adjusted for ethnicity, school year, gender, rurality, neighborhood deprivation, school decile, housing deprivation, sleeping elsewhere due to lack of adequate housing, unsafe environment, and racism. RESULTS Inequities in social determinants of health were evident for Māori (Indigenous peoples of Aotearoa New Zealand; n = 1528) and minoritized (Pacific n = 1204; Asian n = 1927; Middle Eastern, Latin American, and African [MELAA] n = 210; and 'Other' ethnicity n = 225) adolescents. A greater proportion of Māori, Pacific, Asian, MELAA, and 'Other' adolescents had short sleep, compared to European (n = 3070). Māori, Pacific, Asian, and MELAA adolescents were more likely to report late bedtimes (after midnight), and Māori, Pacific, and 'Other' adolescents were more likely to report early waketimes (5 AM-6 AM or earlier), on school days. Rurality, neighborhood deprivation, school-level deprivation, housing deprivation, sleeping elsewhere due to inadequate housing, unsafe environments, and racism partially, but not fully, explained associations between ethnicity and short sleep, late bedtimes, and early waketimes. CONCLUSIONS Ethnic inequities exist in adolescent sleep health in Aotearoa New Zealand. Socio-political actions are needed to address racism and colonialism as root causes of ethnic inequities in adolescent sleep, to ensure all young people are afforded the basic human right of good sleep health and associated mental and physical well-being.
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Affiliation(s)
- Diane Muller
- Sleep/Wake Research Centre, School of Health Sciences, College of Health, Massey University, Wellington, New Zealand.
| | - T Leigh Signal
- Sleep/Wake Research Centre, School of Health Sciences, College of Health, Massey University, Wellington, New Zealand
| | - Mathangi Shanthakumar
- Environmental Health Intelligence New Zealand (EHINZ), Research Centre for Hauora and Health, College of Health, Massey University, Wellington, New Zealand
| | - Terry Fleming
- School of Health, Faculty of Health, Te Herenga Waka/Victoria University of Wellington, Wellington, New Zealand
| | - Terryann C Clark
- School of Nursing, Faculty of Medical Health Sciences, University of Auckland, Auckland, New Zealand
| | - Sue Crengle
- Ngāi Tahu Māori Health Research Centre, Division of Health Sciences, University of Otago, Dunedin, New Zealand
| | - Liesje Donkin
- Department of Psychology and Neuroscience, School of Clinical Sciences, Auckland University of Technology (AUT), Auckland, New Zealand
| | - Sarah-Jane Paine
- Te Kupenga Hauora Māori, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
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20
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Moise R, Chery M, Wyrick M, Zizi F, Seixas A, Jean-Louis G. Photovoice for leveraging traditional, complementary, and integrative medicine amongst black adults to improve sleep health and overall health. Front Public Health 2024; 12:1359096. [PMID: 39114505 PMCID: PMC11303969 DOI: 10.3389/fpubh.2024.1359096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Accepted: 06/14/2024] [Indexed: 08/10/2024] Open
Abstract
Introduction Average adults are recommended to have 7-8 h of sleep. However insufficient sleep (IS defined as <7 h/nightly) is associated with increased risk of chronic diseases such as cardiovascular disease (CVD) and type 2 diabetes mellitus (T2DM). Traditional, complementary, and integrative medicine (TCIM), a burgeoning area of research and practice, leverages both modern and traditional approaches to improve health. Despite TCIM's recognition as a tool to improve sleep and related outcomes, there is a gap in literature in addressing its impact among black individuals, who experience a disproportionate burden of IS and chronic disease. This qualitative study aimed to increase understanding of TCIM practices to overcome IS and overall health in black communities. Methods Using photovoice methodology, a qualitative tool which applies community-engaged principles to produce culturally informed results through interviews and digital media, consented participants were recruited from Miami, Florida and (1) instructed to capture images over one week that communicated their TCIM to improve sleep and overall health on their mobile device; (2) interviewed using individual, semi-structured procedures to add "voice" to the "photos" they captured for ~20 min; and (3) invited to participate in follow-up focus groups for refined discussion and data triangulation for ~1.5 h. Both individual and focus group interviews were conducted over Zoom with recordings transcribed for formal content analysis using Nvivo software. Results The sample included N = 25 diverse US black individuals (M = 37, SD = 13, range 21-57). Approximately a quarter of the sample were unemployed (N = 7) and majority were women (N = 21). Results highlighted five themes including: (1) natural wellness (sleep supplements, comfort beverages, aromatherapy, herbalism, outdoors); (2) self-care (self-maintenance, physical activity, spatial comfort); (3) leisure (pet support, play); (4) mental stimulation (mindfulness, reading); and (5) spiritual wellness (faith-based practices). Study results elucidate the heterogeneity of diverse US black individuals regarding sociocultural knowledge, beliefs, and behaviors. Conclusion Addressing IS in black communities requires a comprehensive strategy that integrates cultural sensitivity, family and community dynamics, education, mental health support, and informed policymaking. Future studies should consider how sleep health literacy, stress appraisal, and coping strategies may vary by race/ethnicity for tailored intervention.
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Affiliation(s)
- Rhoda Moise
- Department of Psychiatry, Center for Translational Sleep and Circadian Sciences, University of Miami Miller School of Medicine, Miami, FL, United States
- Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL, United States
| | - Maurice Chery
- Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL, United States
| | - Mykayla Wyrick
- Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL, United States
| | - Ferdinand Zizi
- Department of Psychiatry, Center for Translational Sleep and Circadian Sciences, University of Miami Miller School of Medicine, Miami, FL, United States
| | - Azizi Seixas
- Department of Psychiatry, Center for Translational Sleep and Circadian Sciences, University of Miami Miller School of Medicine, Miami, FL, United States
- Media and Innovation Lab, Department of Informatics and Health Data Science, University of Miami Miller School of Medicine, Miami, FL, United States
| | - Girardin Jean-Louis
- Department of Psychiatry, Center for Translational Sleep and Circadian Sciences, University of Miami Miller School of Medicine, Miami, FL, United States
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21
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Wang H, Nagarajan P, Winkler T, Bentley A, Miller C, Kraja A, Schwander K, Lee S, Wang W, Brown M, Morrison J, Giri A, O'Connell J, Bartz T, de las Fuentes L, Gudmundsdottir V, Guo X, Harris S, Huang Z, Kals M, Kho M, Lefevre C, Luan J, Lyytikäinen LP, Mangino M, Milaneschi Y, Palmer N, Rao V, Rauramaa R, Shen B, Stadler S, Sun Q, Tang J, Thériault S, van der Graaf A, van der Most P, Wang Y, Weiss S, Westerman K, Yang Q, Yasuharu T, Zhao W, Zhu W, Altschul D, Ansari MAY, Anugu P, Argoty-Pantoja A, Arzt M, Aschard H, Attia J, Bazzano L, Breyer M, Brody J, Cade B, Chen HH, Chen YDI, Chen Z, de Vries P, Dimitrov L, Do A, Du J, Dupont C, Edwards T, Evans M, Faquih T, Felix S, Fisher-Hoch S, Floyd J, Graff M, Charles Gu C, Gu D, Hairston K, Hanley A, Heid I, Heikkinen S, Highland H, Hood M, Kähönen M, Karvonen-Gutierrez C, Kawaguchi T, Kazuya S, Tanika K, Komulainen P, Levy D, Lin H, Liu P, Marques-Vidal P, McCormick J, Mei H, Meigs J, Menni C, Nam K, Nolte I, Pacheco N, Petty L, Polikowsky H, Province M, Psaty B, Raffield L, Raitakari O, Rich S, Riha R, Risch L, Risch M, Ruiz-Narvaez E, Scott R, Sitlani C, Smith J, Sofer T, Teder-Laving M, Völker U, Vollenweider P, Wang G, van Dijk KWI, Wilson O, Xia R, Yao J, Young K, Zhang R, Zhu X, Below J, Böger C, Conen D, Cox S, Dörr M, Feitosa M, Fox E, Franceschini N, Gharib S, Gudnason V, Harlow S, He J, Holliday E, Kutalik Z, Lakka T, Lawlor D, Lee S, Lehtimäki T, Li C, Liu CT, Mägi R, Matsuda F, Morrison A, Penninx BWJH, Peyser P, Rotter J, Snieder H, Spector T, Wagenknecht L, Wareham N, Zonderman A, North K, Fornage M, Hung A, Manning A, Gauderman W, Chen H, Munroe P, Rao D, van Heemst D, Redline S, Noordam R. A Large-Scale Genome-Wide Study of Gene-Sleep Duration Interactions for Blood Pressure in 811,405 Individuals from Diverse Populations. RESEARCH SQUARE 2024:rs.3.rs-4163414. [PMID: 39070651 PMCID: PMC11276021 DOI: 10.21203/rs.3.rs-4163414/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/30/2024]
Abstract
Although both short and long sleep duration are associated with elevated hypertension risk, our understanding of their interplay with biological pathways governing blood pressure remains limited. To address this, we carried out genome-wide cross-population gene-by-short-sleep and long-sleep duration interaction analyses for three blood pressure traits (systolic, diastolic, and pulse pressure) in 811,405 individuals from diverse population groups. We discover 22 novel gene-sleep duration interaction loci for blood pressure, mapped to 23 genes. Investigating these genes' functional implications shed light on neurological, thyroidal, bone metabolism, and hematopoietic pathways that necessitate future investigation for blood pressure management that caters to sleep health lifestyle. Non-overlap between short sleep (12) and long sleep (10) interactions underscores the plausible nature of distinct influences of both sleep duration extremes in cardiovascular health. Several of our loci are specific towards a particular population background or sex, emphasizing the importance of addressing heterogeneity entangled in gene-environment interactions, when considering precision medicine design approaches for blood pressure management.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | - Michael Brown
- The University of Texas Health Science Center at Houston
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Nicholette Palmer
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai
| | | | | | | | | | - Quan Sun
- University of North Carolina, USA
| | | | | | | | | | | | - Stefan Weiss
- University Medicine Greifswald & University of Greifswald
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Sami Heikkinen
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio Campus
| | | | | | | | | | | | | | | | | | | | | | | | | | - Joseph McCormick
- The University of Texas Health Science Center at Houston (UTHealth) School of Public Health
| | - Hao Mei
- University of Mississippi Medical Center
| | | | | | | | - Ilja Nolte
- University of Groningen, University Medical Center Groningen
| | | | | | | | | | | | | | - Olli Raitakari
- Turku University Hospital and Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku
| | | | | | | | | | | | - Rodney Scott
- University of Newcastle and the Hunter Medical Research Institute
| | | | | | | | | | | | | | | | | | | | - Rui Xia
- The Brown Foundation Institute of Molecular Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Jiang He
- Tulane University School of Public Health and Tropical Medicine
| | | | | | | | | | | | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories and Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University
| | - Changwei Li
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | | | | | | | | | | | - Patricia Peyser
- Department of Epidemiology, School of Public Health, University of Michigan
| | - Jerome Rotter
- The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center
| | | | | | | | | | | | | | - Myriam Fornage
- 1. Institute of Molecular Medicine, McGovern Medical School, The University of Texas Health Science Center
- 2. Human Genetics Center, Department of Epidemiology, School of Public Health
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22
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Abdallah KE, Cooper KE, Buscetta AJ, Ramirez HC, Neighbors HW, Bonham VL. An Examination of John Henryism in Adults Living with Sickle Cell Disease. J Racial Ethn Health Disparities 2024:10.1007/s40615-024-02054-5. [PMID: 38977655 PMCID: PMC11707035 DOI: 10.1007/s40615-024-02054-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Revised: 06/08/2024] [Accepted: 06/12/2024] [Indexed: 07/10/2024]
Abstract
BACKGROUND John Henryism (JH) is a behavioral predisposition for high-effort coping with adversity. JH has been associated with hypertension in Black Americans with low socioeconomic status (SES) and is also found to be associated with psychological well-being. Sickle cell disease (SCD), a rare genetic disease largely affecting Black Americans in the United States, presents as a chronic condition that may benefit from a deeper understanding of the impact of JH on overall health. PURPOSE This study examined the association between high and low JH and diastolic blood pressure, systolic blood pressure, hypertension prevalence, and sleep function. We relied on the biopsychosocial transaction model to adjust for relevant clinical and sociodemographic variables. METHODS This was a cross-sectional secondary analysis of 274 adults with SCD living in the United States and recruited between 2014 and 2020. Study visits consisted of physical examinations, medical history, demographic, and psychosocial questionnaires. Adjusted linear regressions estimated associations between high and low JH and diastolic and systolic blood pressure as well as self-reported sleep function. Multivariable logistic regression was used to examine associations with hypertension prevalence. RESULTS High JH was significantly associated with lower diastolic blood pressure (β = - 2.98; 95% confidence interval = - 5.92, - 0.04) but higher sleep dysfunction (β = 2.76; 95% confidence interval = 1.45, 4.07). CONCLUSIONS Overall, we found positive psychological coping resources associated with high JH, with the exception of sleep. TRIAL REGISTRATION CLINICALTRIALS gov Identifier: NCT02156102.
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Affiliation(s)
- Khadijah E Abdallah
- Social and Behavioral Research Branch, National Human Genome Research Institute, National Institutes of Health, 31 Center Drive, Suite B1B37, Bethesda, MD, 20892, USA
- Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Kayla E Cooper
- Social and Behavioral Research Branch, National Human Genome Research Institute, National Institutes of Health, 31 Center Drive, Suite B1B37, Bethesda, MD, 20892, USA
- Medical College of Georgia, Augusta, GA, USA
| | - Ashley J Buscetta
- Social and Behavioral Research Branch, National Human Genome Research Institute, National Institutes of Health, 31 Center Drive, Suite B1B37, Bethesda, MD, 20892, USA
| | - Hasmin C Ramirez
- Social and Behavioral Research Branch, National Human Genome Research Institute, National Institutes of Health, 31 Center Drive, Suite B1B37, Bethesda, MD, 20892, USA
| | - Harold W Neighbors
- School of Public Health, The University of Michigan, Ann Arbor, MI, USA
- School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
| | - Vence L Bonham
- Social and Behavioral Research Branch, National Human Genome Research Institute, National Institutes of Health, 31 Center Drive, Suite B1B37, Bethesda, MD, 20892, USA.
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23
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Tang SH, Min J, Zhang X, Uwah E, Griffis HM, Cielo CM, Fiks AG, Mindell JA, Tapia IE, Williamson AA. Incidence of pediatric narcolepsy diagnosis and management: evidence from claims data. J Clin Sleep Med 2024; 20:1141-1151. [PMID: 38450539 PMCID: PMC11217630 DOI: 10.5664/jcsm.11104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Revised: 02/27/2024] [Accepted: 02/27/2024] [Indexed: 03/08/2024]
Abstract
STUDY OBJECTIVES The purpose of this study was to characterize the incidence of pediatric narcolepsy diagnosis, subsequent care, and potential sociodemographic disparities in a large US claims database. METHODS Merative MarketScan insurance claims (n = 12,394,902) were used to identify youth (6-17 years of age) newly diagnosed with narcolepsy (International Classification of Diseases, 10th revision codes). Narcolepsy diagnosis and care 1 year postdiagnosis included polysomnography with Multiple Sleep Latency Test, pharmacological care, and clinical visits. Potential disparities were examined by insurance coverage and child race and ethnicity (Medicaid-insured only). RESULTS The incidence of narcolepsy diagnosis was 10:100,000, primarily type 2 (69.9%). Most diagnoses occurred in adolescents with no sex differences, but higher rates in Black vs White youth with Medicaid. Two thirds had a prior sleep disorder diagnosis and 21-36% had other co-occurring diagnoses. Only half (46.6%) had polysomnography with Multiple Sleep Latency Test (± 1 year postdiagnosis). Specialty care (18.9% pulmonary, 26.9% neurology) and behavioral health visits were rare (34.4%), although half were prescribed stimulant medications (51.0%). Medicaid-insured were 86% less likely than commercially insured youth to have any clinical care and 33% less likely to have polysomnography with Multiple Sleep Latency Test. CONCLUSIONS Narcolepsy diagnoses occurred in 0.01% of youth, primarily during adolescence, and at higher rates for Black vs White children with Medicaid. Only half overall had evidence of a diagnostically required polysomnography with Multiple Sleep Latency Test, underscoring potential misdiagnosis. Many patients had co-occurring conditions, but specialty and behavioral health care were limited. Results suggest misdiagnosis, underdiagnosis, and limited narcolepsy treatment, as well as possible disparities. Results highlight the need to identify determinants of evidence-based pediatric narcolepsy diagnosis and management. CITATION Tang SH, Min J, Zhang X, et al. Incidence of pediatric narcolepsy diagnosis and management: evidence from claims data. J Clin Sleep Med. 2024;20(7):1141-1151.
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Affiliation(s)
- Si Hao Tang
- Drexel University College of Medicine, Philadelphia, Pennsylvania
| | - Jungwon Min
- Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Xuemei Zhang
- Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | | | | | - Christopher M Cielo
- Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Alexander G Fiks
- Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Jodi A Mindell
- Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
- Miller School of Medicine, University of Miami, Miami, Florida
| | - Ignacio E Tapia
- Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
- Miller School of Medicine, University of Miami, Miami, Florida
| | - Ariel A Williamson
- Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
- The Ballmer Institute, University of Oregon, Portland, Oregon
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24
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Ghani SB, Granados K, Wills CCA, Alfonso-Miller P, Buxton OM, Ruiz JM, Parthasarathy S, Patel SR, Molina P, Seixas A, Jean-Louis G, Grandner MA. Association of Birthplace for Sleep Duration, Sleep Quality, and Sleep Disorder Symptoms, at the US-Mexico Border. Behav Sleep Med 2024; 22:393-409. [PMID: 37968911 PMCID: PMC11093882 DOI: 10.1080/15402002.2023.2279308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2023]
Abstract
OBJECTIVES The present study investigated the roles birthplace and acculturation play in sleep estimates among Hispanic/Latino population at the US-Mexico border. MEASURES Data were collected in 2016, from N = 100 adults of Mexican descent from the city of Nogales, AZ, at the US-Mexico border. Sleep was assessed with the Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index categorized as none, mild, moderate, and severe, and Multivariable Apnea Prediction Index (MAP) categorized as never, infrequently, and frequently. Acculturation was measured with the Acculturation Rating Scale for Mexican-Americans II (ARSMA-II). RESULTS The sample consisted of majority Mexican-born (66%, vs. born in the USA 38.2%). Being born in the USA was associated with 55 fewer minutes of nighttime sleep (p = .011), and 1.65 greater PSQI score (p = .031). Compared to no symptoms, being born in the USA was associated with greater likelihood of severe difficulty falling asleep (OR = 8.3, p = .030) and severe difficulty staying asleep (OR = 11.2, p = .050), as well as decreased likelihood of breathing pauses during sleep (OR = 0.18, P = .020). These relationships remained significant after Mexican acculturation was entered in these models. However, greater Anglo acculturation appears to mediate one fewer hour of sleep per night, poorer sleep quality, and reporting of severe difficulty falling asleep and staying asleep. CONCLUSIONS Among individuals of Mexican descent, being born in the USA (vs Mexico) is associated with about 1 hour less sleep per night, worse sleep quality, more insomnia symptoms, and less mild sleep apnea symptoms. These relationships are influenced by acculturation, primarily the degree of Anglo rather than the degree of Mexican acculturation.
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Affiliation(s)
- Sadia B Ghani
- Department of Psychiatry, University of Arizona, Tucson, USA
| | - Karla Granados
- Department of Psychiatry, University of Arizona, Tucson, USA
| | - Chloe C A Wills
- Department of Psychiatry, University of Arizona, Tucson, USA
| | | | - Orfeu M Buxton
- Department of Biobehavioral Health, The Pennsylvania State University, University Park, Pennsylvania, USA
| | - John M Ruiz
- Department of Psychology, University of Arizona, Tucson, USA
| | - Sairam Parthasarathy
- University of Arizona Health Sciences Center for Sleep and Circadian Sciences, University of Arizona, Tucson, USA
| | - Sanjay R Patel
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, USA
| | | | - Azizi Seixas
- Department of Population Health, and Department of Psychiatry, NYU Langone Health, New York
| | - Girardin Jean-Louis
- Department of Psychiatry and Behavioral Sciences and Department of Neurology, The University of Miami Miller School of Medicine Miami, USA
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25
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Matthews JA, Sallis HM, Dyer ML, McConville R, Isotalus H, Attwood AS. Associations Between Self-Reported Sleep Quality, Fatigue Severity, Factors Associated With Successful Cessation, and Cessation Beliefs Among Regular Smokers. Nicotine Tob Res 2024; 26:835-842. [PMID: 37996095 PMCID: PMC11190051 DOI: 10.1093/ntr/ntad231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 10/17/2023] [Accepted: 11/20/2023] [Indexed: 11/25/2023]
Abstract
BACKGROUND Smokers report poorer sleep than nonsmokers and sleep quality deteriorates further during cessation, increasing risk of smoking relapse. Better understanding of the relationship between sleep and relapse-related outcomes could inform novel approaches to smoking cessation support. The aim of this study was to investigate same-day associations of self-reported sleep quality and fatigue severity with factors associated with successful cessation and cessation beliefs, among regular smokers. METHODS This cross-sectional observational study (n = 412) collected self-reported sleep quality, fatigue severity, and factors associated with successful cessation and cessation beliefs among regular smokers via an online survey (60% male). RESULTS There was evidence of an association between sleep quality (SQ) and reduced 24-hour (β = -0.12, p = .05) and lifetime (β = -0.09, p = .04) abstinence self-efficacy. In addition, poorer SQ and higher fatigue severity (FS) were associated with increased smoking urges (SQ: β = 0.27, p < .001; FS: β = 0.32, p < .001), increased barriers to cessation (SQ: β = 0.19, p < .001; FS: β = 0.32, p < .001), and increased perceived risks to cessation (SQ: β = 0.18, p < .001; FS: β = 0.26, p < .001). Fatigue severity was weakly associated with increased perceived benefits to cessation (β = 0.12, p = .017). CONCLUSIONS Self-reported sleep quality and fatigue severity were associated with multiple factors associated with successful cessation and cessation beliefs. Further research is needed to extend these findings by using different methods to identify the temporal direction of associations and causality. IMPLICATIONS This study is the first to examine associations between sleep quality, fatigue severity, and factors associated with successful cessation and cessation beliefs. Findings show that both sleep quality and fatigue severity are associated with multiple factors associated with successful cessation and could be modifiable targets for future smoking cessation interventions. Furthermore, our data suggest that fatigue severity has an independent effect on multiple factors associated with successful cessation when accounting for sleep quality. This indicates that fatigue, independent of sleep quality, could be an important factor in a quit attempt.
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Affiliation(s)
- Joe A Matthews
- School of Psychological Science, University of Bristol, Bristol, UK
- Department of Electrical and Electronic Engineering, University of Bristol, Bristol, UK
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Integrative Cancer Epidemiology Programme at the University of Bristol, Bristol, UK
| | - Hannah M Sallis
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- CAMH (Centre for Academic Mental Health), Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Maddy L Dyer
- School of Psychological Science, University of Bristol, Bristol, UK
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Ryan McConville
- Department Engineering and Mathematics, Ada Lovelace Building, University of Bristol, University Walk, Bristol, UK
| | - Hanna Isotalus
- Department of Electrical and Electronic Engineering, University of Bristol, Bristol, UK
| | - Angela S Attwood
- School of Psychological Science, University of Bristol, Bristol, UK
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Integrative Cancer Epidemiology Programme at the University of Bristol, Bristol, UK
- Bristol Biomedical Research Centre at the University of Bristol, Bristol, UK
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26
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Garbarino S, Bragazzi NL. Revolutionizing Sleep Health: The Emergence and Impact of Personalized Sleep Medicine. J Pers Med 2024; 14:598. [PMID: 38929819 PMCID: PMC11204813 DOI: 10.3390/jpm14060598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Revised: 05/11/2024] [Accepted: 06/03/2024] [Indexed: 06/28/2024] Open
Abstract
Personalized sleep medicine represents a transformative shift in healthcare, emphasizing individualized approaches to optimizing sleep health, considering the bidirectional relationship between sleep and health. This field moves beyond conventional methods, tailoring care to the unique physiological and psychological needs of individuals to improve sleep quality and manage disorders. Key to this approach is the consideration of diverse factors like genetic predispositions, lifestyle habits, environmental factors, and underlying health conditions. This enables more accurate diagnoses, targeted treatments, and proactive management. Technological advancements play a pivotal role in this field: wearable devices, mobile health applications, and advanced diagnostic tools collect detailed sleep data for continuous monitoring and analysis. The integration of machine learning and artificial intelligence enhances data interpretation, offering personalized treatment plans based on individual sleep profiles. Moreover, research on circadian rhythms and sleep physiology is advancing our understanding of sleep's impact on overall health. The next generation of wearable technology will integrate more seamlessly with IoT and smart home systems, facilitating holistic sleep environment management. Telemedicine and virtual healthcare platforms will increase accessibility to specialized care, especially in remote areas. Advancements will also focus on integrating various data sources for comprehensive assessments and treatments. Genomic and molecular research could lead to breakthroughs in understanding individual sleep disorders, informing highly personalized treatment plans. Sophisticated methods for sleep stage estimation, including machine learning techniques, are improving diagnostic precision. Computational models, particularly for conditions like obstructive sleep apnea, are enabling patient-specific treatment strategies. The future of personalized sleep medicine will likely involve cross-disciplinary collaborations, integrating cognitive behavioral therapy and mental health interventions. Public awareness and education about personalized sleep approaches, alongside updated regulatory frameworks for data security and privacy, are essential. Longitudinal studies will provide insights into evolving sleep patterns, further refining treatment approaches. In conclusion, personalized sleep medicine is revolutionizing sleep disorder treatment, leveraging individual characteristics and advanced technologies for improved diagnosis, treatment, and management. This shift towards individualized care marks a significant advancement in healthcare, enhancing life quality for those with sleep disorders.
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Affiliation(s)
- Sergio Garbarino
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics and Maternal/Child Sciences (DINOGMI), University of Genoa, 16126 Genoa, Italy;
- Post-Graduate School of Occupational Health, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
| | - Nicola Luigi Bragazzi
- Laboratory for Industrial and Applied Mathematics (LIAM), Department of Mathematics and Statistics, York University, Toronto, ON M3J 1P3, Canada
- Human Nutrition Unit (HNU), Department of Food and Drugs, University of Parma, 43125 Parma, Italy
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27
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Healy WJ, Johnson DA, Liu X, Jean-Louis G, Kwon Y. Disparities in sleep care and cardiovascular outcomes: defining the problem and implementing solutions. J Clin Sleep Med 2024; 20:841-844. [PMID: 38415745 PMCID: PMC11145049 DOI: 10.5664/jcsm.11072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Revised: 02/04/2024] [Accepted: 02/07/2024] [Indexed: 02/29/2024]
Affiliation(s)
- William J. Healy
- Division of Pulmonary, Critical Care, and Sleep Medicine; Medical College of Georgia at Augusta University, Augusta, Georgia
| | - Dayna A. Johnson
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Xiaoyue Liu
- New York University Rory Meyers College of Nursing, New York, New York
| | - Girardin Jean-Louis
- Departments of Psychiatry and Neurology, University of Miami, Miami, Florida
| | - Younghoon Kwon
- Division of Cardiology, University of Washington, Seattle, Washington
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28
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Panelli DM, Miller HE, Simpson SL, Hurtado J, Shu CH, Boncompagni AC, Chueh J, Barwick F, Carvalho B, Sultan P, Aghaeepour N, Druzin ML. Evaluation of Sleep in Pregnant Inpatients Compared With Outpatients. Obstet Gynecol 2024; 143:803-810. [PMID: 38663016 PMCID: PMC11098687 DOI: 10.1097/aog.0000000000005591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Accepted: 03/14/2024] [Indexed: 05/18/2024]
Abstract
OBJECTIVE To evaluate whether antepartum hospitalization was associated with differences in sleep duration or disrupted sleep patterns. METHODS This was a prospective cohort study with enrollment of pregnant people aged 18-55 years with singleton gestations at 16 weeks of gestation or more between 2021 and 2022. Each enrolled antepartum patient was matched by gestational age to outpatients recruited from obstetric clinics at the same institution. Participants responded to the ISI (Insomnia Severity Index) and wore actigraph accelerometer watches for up to 7 days. The primary outcome was total sleep duration per 24 hours. Secondary outcomes included sleep efficiency (time asleep/time in bed), ISI score, clinical insomnia (ISI score higher than 15), short sleep duration (less than 300 minutes/24 hours), wakefulness after sleep onset, number of awakenings, and sleep fragmentation index. Outcomes were evaluated with multivariable generalized estimating equations adjusted for body mass index (BMI), sleep aid use, and insurance type, accounting for gestational age correlations. An interaction term assessed the joint effects of time and inpatient status. RESULTS Overall 58 participants were included: 18 inpatients and 40 outpatients. Inpatients had significantly lower total sleep duration than outpatients (mean 4.4 hours [SD 1.6 hours] inpatient vs 5.2 hours [SD 1.5 hours] outpatient, adjusted β=-1.1, 95% CI, -1.8 to -0.3, P =.01). Awakenings (10.1 inpatient vs 13.8, P =.01) and wakefulness after sleep onset (28.3 inpatient vs 35.5 outpatient, P =.03) were lower among inpatients. There were no differences in the other sleep outcomes, and no interaction was detected for time in the study and inpatient status. Inpatients were more likely to use sleep aids (39.9% vs 12.5%, P =.03). CONCLUSION Hospitalized pregnant patients slept about 1 hour/day less than outpatients. Fewer awakenings and reduced wakefulness after sleep onset among inpatients may reflect increased use of sleep aids in hospitalized patients.
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Affiliation(s)
- Danielle M Panelli
- Division of Maternal-Fetal Medicine and Obstetrics, Department of Obstetrics and Gynecology, the Division of Sleep Medicine, Department of Psychiatry and Behavioral Sciences, the Division of Obstetric Anesthesia, Department of Anesthesiology, Perioperative, and Pain Medicine, and the Department of Pediatrics, Stanford University, and Stanford University School of Medicine, Palo Alto, and the Department of Biomedical Data Science, Stanford University, Stanford, California
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Strassle PD, Wilkerson MJ, Stewart AL, Forde AT, Jackson CL, Singh R, Nápoles AM. Impact of COVID-related Discrimination on Psychological Distress and Sleep Disturbances across Race-Ethnicity. J Racial Ethn Health Disparities 2024; 11:1374-1384. [PMID: 37126156 PMCID: PMC10150686 DOI: 10.1007/s40615-023-01614-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 04/18/2023] [Accepted: 04/22/2023] [Indexed: 05/02/2023]
Abstract
COVID-related discrimination towards historically marginalized racial-ethnic groups in the United States has been well-documented; however, its impact on psychological distress and sleep (overall and within specific racial-ethnic groups) is largely unknown. We used data from our nationally representative, online survey of 5,500 American Indian/Alaska Native, Asian, Black/African American, Native Hawaiian/Pacific Islander, Latino, White, and multiracial adults, conducted from 12/2020-2/2021. Participants were asked how often they experienced discriminatory behaviors "because they think you might have COVID-19" (modified Everyday Discrimination Scale). Psychological distress was captured as having experienced anxiety-depression symptoms (Patient Health Questionairre-4, PHQ-4), perceived stress (modified Perceived Stress Scale), or loneliness-isolation ("How often have you felt lonely and isolated?"). Sleep disturbances were measured using the Patient-Reported Outcomes Information System Short Form Sleep Disturbance scale (PROMIS-SF 4a). Overall, 22.1% reported COVID-related discriminatory behaviors (sometimes/always: 9.7%; rarely: 12.4%). 48.4% of participants reported anxiety-depression symptoms (moderate/severe: 23.7% mild: 24.8%), 62.4% reported feeling stressed (moderate/severe: 34.3%; mild: 28,1%), 61.0% reported feeling lonely-isolated (fairly often/very often: 21.3%; almost never/sometimes: 39.7%), and 35.4% reported sleep disturbances (moderate/severe:19.8%; mild: 15.6%). Discrimination was only associated with increased psychological distress among racial-ethnic minorities. For example, COVID-related discrimination was strongly associated with anxiety-depression among Black/African American adults (mild: aOR=2.12, 95% CI=1.43-5.17; moderate/severe: aOR=5.19, 95% CI=3.35-8.05), but no association was observed among White or multiracial adults. Mitigating pandemic-related discrimination could help alleviate mental and sleep health disparities occurring among minoritized racial-ethnic groups.
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Affiliation(s)
- Paula D Strassle
- Division of Intramural Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, USA.
| | - Miciah J Wilkerson
- Division of Intramural Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, USA
| | - Anita L Stewart
- University of California San Francisco, Institute for Health & Aging, Center for Aging in Diverse Communities, San Francisco, CA, USA
| | - Allana T Forde
- Division of Intramural Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, USA
| | - Chandra L Jackson
- Division of Intramural Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, USA
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, USA
| | - Rupsha Singh
- Division of Intramural Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, USA
| | - Anna María Nápoles
- Division of Intramural Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, USA
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Saelee R, April-Sanders AK, Bird HR, Canino GJ, Duarte CS, Lugo-Candelas C, Suglia SF. Self-reported neighborhood stressors and sleep quality among Puerto Rican young adults. Sleep Health 2024; 10:295-301. [PMID: 38570224 PMCID: PMC11162948 DOI: 10.1016/j.sleh.2024.01.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 01/15/2024] [Accepted: 01/23/2024] [Indexed: 04/05/2024]
Abstract
OBJECTIVE To examine the association between changes in self-reported neighborhood stressors and sleep quality and determine whether this varied by sociocultural context among Puerto Rican young adults. METHODS Data come from the Boricua Youth Study Health Assessment, a sample of Puerto Rican young adults from San Juan, Puerto Rico, and South Bronx, New York (n = 818; mean age=22.9years). Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI). Neighborhood social stressors (disorder, social cohesion, and safety) were parent-reported in childhood and self-reported in young adulthood and categorized into: low in childhood/young adulthood (reference group), high in childhood/low in young adulthood, low in childhood/high in young adulthood, and high in childhood/young adulthood. Sociocultural context was based on participant residence during childhood (San Juan vs. South Bronx). RESULTS Adjusting for sociodemographic factors, living with high neighborhood stressors in both childhood and young adulthood (prevalence ratios=1.30, 95% CI: 1.01, 1.66) was associated with overall poor sleep (PSQI score >5). Among PSQI components, living with high neighborhood stressors in young adulthood only or in both time periods was associated with worse subjective sleep quality and daytime dysfunction. Additionally, there were various associations between the neighborhood stressor measures and PSQI components. Results did not differ by sociocultural context. CONCLUSION Findings suggest that living with high levels of neighborhood stressors during childhood and young adulthood may have a cumulative adverse impact on sleep quality in young adulthood.
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Affiliation(s)
- Ryan Saelee
- Department of Epidemiology, Emory University, Atlanta, Georgia, USA.
| | - Ayana K April-Sanders
- Department of Statistics and Epidemiology, Rutgers School of Public Health, Piscataway, NJ
| | - Hector R Bird
- Department of Psychiatry, New York State Psychiatric Institute, Columbia University Medical Center, New York City, New York, USA
| | - Glorisa J Canino
- Behavioral Sciences Research Institute, University of Puerto Rico Medical School, San Juan, Puerto Rico
| | - Cristiane S Duarte
- Department of Psychiatry, New York State Psychiatric Institute, Columbia University Medical Center, New York City, New York, USA
| | - Claudia Lugo-Candelas
- Department of Psychiatry, New York State Psychiatric Institute, Columbia University Medical Center, New York City, New York, USA
| | - Shakira F Suglia
- Department of Epidemiology, Emory University, Atlanta, Georgia, USA
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Full KM, Shi H, Lipworth L, Dauer LT, Mumma MT, Xiao Q. Associations of Long-term Sleep Duration Trajectories with Overall and Cause-Specific Mortality Among Middle-to-older Aged Black and White Adults. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.05.23.24307845. [PMID: 38826310 PMCID: PMC11142262 DOI: 10.1101/2024.05.23.24307845] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2024]
Abstract
Background Both short and long sleep durations are adversely associated with numerous chronic conditions, including cardiovascular disease (CVD), diabetes, hypertension, and mortality. The American Academy of Sleep Medicine recommends adults in the United States sleep at least 7 hours and less than 9 hours per night to maintain optimal health. It remains unclear how sleep duration trajectories over time are associated with mortality. Methods This observational cohort study includes 46,928 Black and White adults (mean age: 53 ± 9 years) who enrolled in the Southern Community Cohort Study between 2002-2009 and completed a follow-up survey in 2008-2013. Participants were categorized into nine sleep duration trajectory categories based on the reported average sleep duration between study enrollment and at follow-up. Participant vital status and date and cause of death were ascertained via linkage to the National Death Index through 2022. Cox regression analysis was performed to estimate hazard ratios (HR) and 95% confidence intervals (CI) for the association between sleep duration trajectory and all-cause and cause-specific mortality (CVD, cancer, and neurodegenerative disease) after adjustment for sociodemographic characteristics, health behaviors, and clinical factors. Results During a median 12.6 years of follow-up, we documented 13,579 deaths, including 4,135 from CVD, 3,067 from cancer, and 544 from neurodegenerative diseases. Compared to the optimal sleep duration trajectory (maintaining 7-9 hours), all sub-optimal trajectories were associated with significant 6 to 33% greater risk of all-cause mortality in fully adjusted models. Compared to the optimal sleep trajectory, three of the sub-optimal trajectories were associated with increased CVD mortality, with HRs ranging from 1.20 to 1.34. The short-long trajectory was associated with the greatest risk of all-cause mortality (HR:1.33; 95%CI: 1.21, 1.46) and the long-short trajectory was associated with the greatest CVD mortality risk (HR:1.34; 95%CI: 1.10, 1.65). The healthy-long trajectory was associated with the greatest risk of cancer mortality (HR: 1.19; 95%CI:1.00, 1.41). None of the sub-optimal trajectories was associated with neurodegenerative disease mortality. Conclusions Suboptimal sleep duration trajectories were associated with increased risk of all-cause mortality as well as CVD mortality. Findings highlight the importance of maintaining healthy sleep duration throughout midlife to reduce mortality risk.
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Nair L, Asuzu P, Dagogo-Jack S. Ethnic Disparities in the Risk Factors, Morbidity, and Mortality of Cardiovascular Disease in People With Diabetes. J Endocr Soc 2024; 8:bvae116. [PMID: 38911352 PMCID: PMC11192623 DOI: 10.1210/jendso/bvae116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Indexed: 06/25/2024] Open
Abstract
Cardiovascular disease (CVD) is the leading cause of death in people with diabetes. Compared with European Americans, African Americans have more favorable lipid profiles, as indicated by higher high-density lipoprotein cholesterol, lower triglycerides, and less dense low-density lipoprotein particles. The less atherogenic lipid profile translates to lower incidence and prevalence of CVD in African Americans with diabetes, despite higher rates of hypertension and obesity. However, African Americans with CVD experience worse clinical outcomes, including higher mortality, compared with European Americans. This mini-review summarizes the epidemiology, pathophysiology, mechanisms, and management of CVD in people with diabetes, focusing on possible factors underlying the "African American CVD paradox" (lower CVD incidence/prevalence but worse outcomes). Although the reasons for the disparities in CVD outcomes remain to be fully elucidated, we present a critical appraisal of the roles of suboptimal control of risk factors, inequities in care delivery, several biological factors, and psychosocial stress. We identify gaps in current knowledge and propose areas for future investigation.
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Affiliation(s)
- Lekshmi Nair
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, University of Tennessee Health Science Center, Memphis, TN 38163, USA
| | - Peace Asuzu
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, University of Tennessee Health Science Center, Memphis, TN 38163, USA
| | - Sam Dagogo-Jack
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, University of Tennessee Health Science Center, Memphis, TN 38163, USA
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Singh R, Atha R, Lenker KP, Calhoun SL, Liao J, He F, Vgontzas AN, Liao D, Bixler EO, Jackson CL, Fernandez-Mendoza J. Racial/ethnic disparities in the trajectories of insomnia symptoms from childhood to young adulthood. Sleep 2024; 47:zsae021. [PMID: 38270531 PMCID: PMC11082472 DOI: 10.1093/sleep/zsae021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 01/03/2024] [Indexed: 01/26/2024] Open
Abstract
STUDY OBJECTIVES To examine differences in the longitudinal prevalence of childhood insomnia symptoms across black/African American, Hispanic/Latinx, and non-Hispanic white groups. METHODS Participants were 519 children from the Penn State Child Cohort (baseline [V1] from 2000-2005) who were followed up 8 years later as adolescents (V2) and 15 years later as young adults (S3). Mean age at S3 was 24.1 ± 2.7 years. Approximately, 76.5% identified as non-Hispanic white, 12.9% as black/African American, 7.1% as Hispanic/Latinx, and 3.5% as "other" race/ethnicity. Insomnia symptoms were defined as parent-reported (childhood) or self-reported (adolescence and young adulthood) moderate-to-severe difficulties initiating/maintaining sleep. Longitudinal trajectories of insomnia symptoms were identified across three-time points and the odds of each trajectory were compared between racial/ethnic groups, adjusting for sex, age, overweight, sleep apnea, periodic limb movements, psychiatric/behavioral disorders, and psychotropic medication use. RESULTS Black/African Americans compared to non-Hispanic whites were at significantly higher odds of having a childhood-onset persistent trajectory through young adulthood (OR = 2.58, 95% CI [1.29, 5.14]), while Hispanics/Latinx were at nonsignificantly higher odds to have the same trajectory (OR = 1.81, 95% CI [0.77, 4.25]). No significant racial/ethnic differences were observed for remitted and waxing-and-waning trajectories since childhood or incident/new-onset trajectories in young adulthood. CONCLUSIONS The results indicate that disparities in insomnia symptoms among black/African American and, to a lesser extent, Hispanic/Latinx groups start early in childhood and persist into young adulthood. Identifying and intervening upon upstream determinants of racial/ethnic insomnia disparities are warranted to directly address these disparities and to prevent their adverse health sequelae. CLINICAL TRIAL INFORMATION N/A; Not a clinical trial.
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Affiliation(s)
- Rupsha Singh
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Department of Health and Human Services, Baltimore, MD, USA
| | - Raegan Atha
- Sleep Research and Treatment Center, Department of Psychiatry and Behavioral Health, Penn State Health Milton S. Hershey Medical Center, Penn State College of Medicine, Hershey, PA, USA
| | - Kristina P Lenker
- Sleep Research and Treatment Center, Department of Psychiatry and Behavioral Health, Penn State Health Milton S. Hershey Medical Center, Penn State College of Medicine, Hershey, PA, USA
| | - Susan L Calhoun
- Sleep Research and Treatment Center, Department of Psychiatry and Behavioral Health, Penn State Health Milton S. Hershey Medical Center, Penn State College of Medicine, Hershey, PA, USA
| | - Jiangang Liao
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA
| | - Fan He
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA
| | - Alexandros N Vgontzas
- Sleep Research and Treatment Center, Department of Psychiatry and Behavioral Health, Penn State Health Milton S. Hershey Medical Center, Penn State College of Medicine, Hershey, PA, USA
| | - Duanping Liao
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA
| | - Edward O Bixler
- Sleep Research and Treatment Center, Department of Psychiatry and Behavioral Health, Penn State Health Milton S. Hershey Medical Center, Penn State College of Medicine, Hershey, PA, USA
| | - Chandra L Jackson
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
- Division of Intramural Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | - Julio Fernandez-Mendoza
- Sleep Research and Treatment Center, Department of Psychiatry and Behavioral Health, Penn State Health Milton S. Hershey Medical Center, Penn State College of Medicine, Hershey, PA, USA
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de Lange MA, Richmond RC, Eastwood SV, Davies NM. Insomnia symptom prevalence in England: a comparison of cross-sectional self-reported data and primary care records in the UK Biobank. BMJ Open 2024; 14:e080479. [PMID: 38719300 PMCID: PMC11086527 DOI: 10.1136/bmjopen-2023-080479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Accepted: 03/27/2024] [Indexed: 05/12/2024] Open
Abstract
OBJECTIVES We aimed to use a large dataset to compare self-reported and primary care measures of insomnia symptom prevalence in England and establish whether they identify participants with similar characteristics. DESIGN Cross-sectional study with linked electronic health records (EHRs). SETTING Primary care in England. PARTICIPANTS 163 748 UK Biobank participants in England (aged 38-71 at baseline) with linked primary care EHRs. OUTCOME MEASURES We compared the percentage of those self-reporting 'usually' having insomnia symptoms at UK Biobank baseline assessment (2006-2010) to those with a Read code for insomnia symptoms in their primary care records prior to baseline. We stratified prevalence in both groups by sociodemographic, lifestyle, sleep and health characteristics. RESULTS We found that 29% of the sample self-reported having insomnia symptoms, while only 6% had a Read code for insomnia symptoms in their primary care records. Only 10% of self-reported cases had an insomnia symptom Read code, while 49% of primary care cases self-reported having insomnia symptoms. In both primary care and self-reported data, prevalence of insomnia symptom cases was highest in females, older participants and those with the lowest household incomes. However, while snorers and risk takers were more likely to be a primary care case, they were less likely to self-report insomnia symptoms than non-snorers and non-risk takers. CONCLUSIONS Only a small proportion of individuals experiencing insomnia symptoms have an insomnia symptom Read code in their primary care record. However, primary care data do provide a clinically meaningful measure of insomnia prevalence. In addition, the sociodemographic characteristics of people attending primary care with insomnia were consistent with those with self-reported insomnia, thus primary care records are a valuable data source for studying risk factors for insomnia. Further studies should replicate our findings in other populations and examine ways to increase discussions about sleep health in primary care.
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Affiliation(s)
- Melanie A de Lange
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Rebecca C Richmond
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- NIHR Oxford Health Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Sophie V Eastwood
- Institute of Cardiovascular Science, University College London, London, UK
| | - Neil M Davies
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Division of Psychiatry & Department of Statistical Sciences, University College London, London, UK
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
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Novak JR, Miller KC, Gunn HE, Troxel WM. Yours, mine, or ours? Dyadic sleep hygiene and associations with sleep quality, emotional distress, and conflict frequency in mixed-gender, bed-sharing couples. J Sleep Res 2024; 33:e14047. [PMID: 37749792 DOI: 10.1111/jsr.14047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 07/28/2023] [Accepted: 09/11/2023] [Indexed: 09/27/2023]
Abstract
Although prior research demonstrates the interdependence of sleep quality within couples (i.e., the sleep of one partner affects the sleep of the other), little is known about the degree to which couples' sleep hygiene behaviours are concordant or discordant, and if one's own sleep hygiene or their report of their partners' sleep hygiene is related to worse relational, psychological, and sleep outcomes. In a sample of 143 mixed-gender, bed-sharing couples, each partner completed an online questionnaire consisting of the Sleep Hygiene Index (for themselves and their partner), PROMIS sleep disturbance scale, conflict frequency, PHQ-4 for anxiety and depressive symptoms, and the Perceived Stress Scale. Paired samples t-tests between partners were conducted using total and individual-item Sleep Hygiene Index scores to examine similarities and differences. Intraclass correlation coefficient (ICC) scores of dyadic reports were conducted to examine the level of agreement between each partner's sleep hygiene. Finally, we examined associations between one's own sleep hygiene and their report of their partner's sleep hygiene with both partner's sleep quality, emotional distress, and conflict frequency in a dyadic structural equation model with important covariates and alternative model tests. The results revealed a significant difference between men's (M = 14.45, SD = 7.41) and women's total score self-report sleep hygiene ([M = 17.67, SD = 8.27]; t(142) = -5.06, p < 0.001) and partners only had similar sleep hygiene for 5 out of the 13 items. Examining dyadic reports of sleep hygiene revealed that partners had moderate agreement on their partners' sleep hygiene (0.69-0.856). The results from the dyadic structural equation model revealed that poorer sleep hygiene was associated with one's own poor sleep quality, higher emotional distress, and more frequent relational conflict. For both men and women a poorer report of a partner's sleep hygiene was associated with one's own report of higher relationship conflict. Finally, men's poorer report of a partner's sleep hygiene was related better to their own sleep quality but was related to poorer sleep quality for their partners. These results have implications for sleep promotion and intervention efforts as well as for couple relationship functioning.
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Affiliation(s)
- Josh R Novak
- Department of Human Development and Family Science, Auburn University, Auburn, Alabama, USA
| | - Kaleigh C Miller
- Department of Human Development and Family Science, Auburn University, Auburn, Alabama, USA
| | - Heather E Gunn
- Department of Psychology, University of Alabama, Tuscaloosa, Alabama, USA
| | - Wendy M Troxel
- Department of Behavior and Policy Sciences, RAND Corporation, Pittsburgh, Pennsylvania, USA
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Gaston SA, Alhasan DM, Johnson DA, Hale L, Harmon QE, Baird DD, Jackson CL. Perceived childhood neighborhood safety and sleep health during childhood and adulthood among a cohort of African American women. Sleep Med 2024; 117:115-122. [PMID: 38531166 DOI: 10.1016/j.sleep.2024.03.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 02/22/2024] [Accepted: 03/05/2024] [Indexed: 03/28/2024]
Abstract
OBJECTIVE To investigate associations between perceived childhood neighborhood safety and sleep over the life course. METHODS Among a cohort of 1693 Black/African American women aged 23-35 years at enrollment (2010-2012), participants recalled neighborhood safety (safe vs. unsafe) when they were 5, 10, and 15 years old. Participants' mothers/caregivers and participants reported sleep-related health behaviors at age 5. We used ordinal logistic regression to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for sleep-related health behaviors (i.e., rarely/never or sometimes vs. mostly/always going to bed by 8:00 p.m., bed in a quiet room, bed in a dimly lit or unlit room), separately. Adulthood sleep duration and insomnia symptoms were reported at enrollment and over three follow-up periods. We applied generalized estimating equations to log binomial regression models to estimate relative risks (RR) for adulthood sleep characteristics. RESULTS AND CONCLUSIONS Four percent of participants reported an unsafe neighborhood at age 5 years, only, and 12% reported an unsafe neighborhood at all ages. Participants in perceived unsafe vs. safe neighborhoods at age 5 had higher odds of poor sleep-related health behaviors (e.g., rarely/never or sometimes going to bed in a quiet room: OR = 1.73 [1.27-2.35]). Participants in perceived unsafe vs. safe neighborhoods throughout childhood had higher risk of short sleep (RR = 1.10 [1.02-1.18]) and insomnia symptoms (RR = 1.07 [1.00-1.15]) during adulthood after adjustment for life course socioeconomic characteristics and adulthood health behaviors and characteristics. Perceived unsafe childhood neighborhood was associated with poorer sleep over the life course and may serve as an early intervention target.
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Affiliation(s)
- Symielle A Gaston
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
| | - Dana M Alhasan
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
| | - Dayna A Johnson
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Lauren Hale
- Program in Public Health, Department of Family, Population, and Preventive Medicine, Stony Brook Medicine, Stony Brook, NY, USA
| | - Quaker E Harmon
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
| | - Donna D Baird
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
| | - Chandra L Jackson
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA; Intramural Program, National Institute on Minority Health and Health Disparities, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA.
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Gao C, Scullin MK. Objective and Subjective Intraindividual Variability in Sleep: Predisposing Factors and Health Consequences. Psychosom Med 2024; 86:298-306. [PMID: 38439637 DOI: 10.1097/psy.0000000000001301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/06/2024]
Abstract
OBJECTIVE We investigated the factors that predispose or precipitate greater intraindividual variability (IIV) in sleep. We further examined the potential consequences of IIV on overall sleep quality and health outcomes, including whether these relationships were found in both self-reported and actigraphy-measured sleep IIV. METHODS In Study 1, 699 US adults completed a Sleep Intra-Individual Variability Questionnaire and self-reported psychosocial, sleep quality, and health outcomes. In Study 2, 100 university students wore actigraphy and completed psychosocial, sleep, and health surveys at multiple timepoints. RESULTS In cross-sectional analyses that controlled for mean sleep duration, predisposing/precipitating factors to greater IIV were being an underrepresented racial/ethnic minority (Study 1: F = 13.95, p < .001; Study 2: F = 7.03, p = .009), having greater stress (Study 2: r values ≥ 0.32, p values ≤ .002) or trait vulnerability to stress (Study 1: r values ≥ 0.15, p values < .001), and showing poorer time management (Study 1: r values ≤ -0.12, p values ≤ .004; Study 2: r values ≤ -0.23, p values ≤ .028). In addition, both studies showed that greater sleep IIV was associated with decreased overall sleep quality, independent of mean sleep duration (Study 1: r values ≥ 0.20, p values < .001; Study 2: r values ≥ 0.33, p values ≤ .001). Concordance across subjective and objective IIV measures was modest ( r values = 0.09-0.35) and similar to concordance observed for subjective-objective mean sleep duration measures. CONCLUSION Risk for irregular sleep patterns is increased in specific demographic groups and may be precipitated by, or contribute to, higher stress and time management inefficiencies. Irregular sleep may lead to poor sleep quality and adverse health outcomes, independent of mean sleep duration, underscoring the importance of addressing sleep consistency.
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Affiliation(s)
- Chenlu Gao
- From the Department of Psychology and Neuroscience (Gao, Scullin), Baylor University, Waco, Texas; Department of Anesthesia, Critical Care and Pain Medicine (Gao), Massachusetts General Hospital; Division of Sleep and Circadian Disorders (Gao), Brigham and Women's Hospital; and Division of Sleep Medicine (Gao), Harvard Medical School, Boston, Massachusetts
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Barber LE, McCullough LE, Johnson DA. Eyes Wide Open: Sleep as a Potential Contributor to Racial and Ethnic Disparities in Cancer. Cancer Epidemiol Biomarkers Prev 2024; 33:471-479. [PMID: 38270540 PMCID: PMC10990828 DOI: 10.1158/1055-9965.epi-23-1117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 11/05/2023] [Accepted: 01/22/2024] [Indexed: 01/26/2024] Open
Abstract
U.S. racial and ethnic minoritized groups face disproportionate cancer burdens compared to White Americans. Investigating modifiable factors, such as sleep, that are socially patterned and inequitably distributed by race and ethnicity may advance understanding of cancer disparities and provide intervention opportunities. Emerging data suggest poor sleep health is associated with cancer. Yet, its contribution to racial and ethnic cancer disparities is understudied. In this narrative review, we explored the sleep-cancer relation through a disparities lens. We (i) summarized literature reporting on associations between sleep and cancer among racial and ethnic minority populations; (ii) examined potential sleep-cancer mechanisms; and (iii) discussed future directions. We identified five studies reporting on sleep-cancer associations among minoritized groups. Poor sleep health was associated with aggressive breast cancer among Black women, increased breast cancer risk among Asian women, and increased risk of breast and total cancer among Hispanic/Latinx Americans. Sleep and cancer disparities have similar socioeconomic and behavioral determinants, suggesting racial and ethnic minoritized groups may be vulnerable to poor sleep health and its adverse health impacts. Evidence indicates that the sleep-cancer disparities relation is an emerging, but important area of research that warrants further investigation, as sleep may be an avenue for reducing cancer disparities.
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Affiliation(s)
- Lauren E. Barber
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA
| | - Lauren E. McCullough
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA
| | - Dayna A. Johnson
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA
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Contractor AA, Almeida IM, Fentem A, Griffith EL, Kaur G, Slavish DC. Posttraumatic Stress Disorder Symptoms and Sleep Disturbances Among Asian Indians: A Systematic Review. TRAUMA, VIOLENCE & ABUSE 2024; 25:1468-1483. [PMID: 37427484 DOI: 10.1177/15248380231184207] [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: 07/11/2023]
Abstract
Substantial comorbidity exists between posttraumatic stress disorder and sleep disturbances/disorders. Such comorbidities are understudied in minority groups, including Asian Indians residing in countries outside India. Thus, we synthesized the existing literature specific to this group of Asian Indians to determine (a) prevalence estimates of posttraumatic stress disorder (PTSD) and sleep disturbances/disorders; and (b) PTSD-sleep comorbidity estimates. For this systematic review, we searched four databases (PubMed, PsycInfo, PTSDpubs, Web of Science) using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Of 3,796 screened articles, 9 articles (10 studies) met inclusion criteria. Study sample sizes ranged from 11 to 2,112 Asian Indians; studies were conducted in Singapore or Malaysia. No reviewed study examined PTSD. All studies examined sleep disturbances/disorders among Asian Indians; prevalence estimates were: 8.3% to 70.4% for short sleep duration, 2.0% to 22.9% for long sleep duration, 25.9% to 56.3% for poor sleep quality, 3.4% to 67.5% for insomnia diagnosis or probable insomnia, 7.7% for excessive daytime sleepiness, 3.8% to 54.6% for obstructive sleep apnea (OSA) diagnosis or high OSA risk, and 5.1% to 11.1% for sleep-disordered breathing. Specific to Asian Indians residing in countries outside India, this review advances PTSD-sleep literature by (a) suggesting substantial prevalence of sleep disturbances/disorders; (b) highlighting the need for culturally relevant sleep interventions; and (c) highlighting research gaps (e.g., no PTSD-focused research).
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Nakie G, Takelle GM, Rtbey G, Andualem F, Tinsae T, Kassa MA, Tadesse G, Fentahun S, Wassie YA, Segon T, Kibralew G, Melkam M. Sleep quality and associated factors among university students in Africa: a systematic review and meta-analysis study. Front Psychiatry 2024; 15:1370757. [PMID: 38559402 PMCID: PMC10979362 DOI: 10.3389/fpsyt.2024.1370757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Accepted: 02/27/2024] [Indexed: 04/04/2024] Open
Abstract
Background Poor sleep quality significantly impacts academic performance in university students. However, inconsistent and inconclusive results were found in a study on sleep among university students in several African nations. Therefore, this study aimed to estimate the pooled prevalence and associated factors of poor sleep quality among university students in Africa. Methods The databases PubMed, Scopus, Cochrane Library, Science Direct, African Journal Online, and Google Scholar were searched to identify articles. A total of 35 primary articles from 11 African countries were assessed and included in this systematic review and meta-analysis. Data were extracted by using a Microsoft Excel spreadsheet and exported to STATA version 14 for analysis. The I2 test was used to assess the statistical heterogeneity. A random effect meta-analysis model was employed with 95% confidence intervals. Funnel plots analysis and Egger regression tests were used to check the presence of publication bias. A subgroup analysis and a sensitivity analysis were done. Results A total of 16,275 study participants from 35 studies were included in this meta-analysis and systematic review. The overall pooled prevalence of poor sleep quality among university students in Africa was 63.31% (95% CI: 56.91-65.71) I2 = 97.2. The subgroup analysis shows that the combined prevalence of poor sleep quality in East, North, West, and South Africa were 61.31 (95% CI: 56.91-65.71), 62.23 (95% CI: 54.07-70.39), 54.43 (95% CI: 47.39-61.48), and 69.59 (95% CI: 50.39-88.80) respectively. Being stressed (AOR= 2.39; 95% CI: 1.63 to 3.51), second academic year (AOR= 3.10; 95% CI: 2.30 to 4.19), use of the electronic device at bedtime (AOR= 3.97 95% CI: 2.38 to 6.61)) and having a comorbid chronic illness (AOR = 2.71; 95% CI: 1.08, 6.82) were factors significantly associated with poor sleep quality. Conclusion This study shows that there is a high prevalence of poor sleep quality among university students in Africa. Being stressed, in the second year, using electronic devices at bedtime, and having chronic illness were factors associated with poor sleep quality. Therefore, addressing contributing factors and implementing routine screenings are essential to reduce the burden of poor sleep quality. Systematic Review Registration https://www.crd.york.ac.uk/prospero/, identifier CRD42023493140.
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Affiliation(s)
- Girum Nakie
- Department of Psychiatry, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia
| | - Girmaw Medfu Takelle
- Department of Psychiatry, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia
| | - Gidey Rtbey
- Department of Psychiatry, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia
| | - Fantahun Andualem
- Department of Psychiatry, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia
| | - Techilo Tinsae
- Department of Psychiatry, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia
| | - Mulat Awoke Kassa
- Department of Nursing, College of Health Science, Woldia University, Woldia, Ethiopia
| | - Gebresilassie Tadesse
- Department of Psychiatry, School of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Setegn Fentahun
- Department of Psychiatry, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia
| | - Yilkal Abebaw Wassie
- Department of Medical Nursing, School of Nursing, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia
| | - Tesfaye Segon
- Department of Psychiatry, College of Health Science, Mettu University, Mettu, Ethiopia
| | - Getasew Kibralew
- Department of Psychiatry, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia
| | - Mamaru Melkam
- Department of Psychiatry, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia
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Nagarajan P, Winkler TW, Bentley AR, Miller CL, Kraja AT, Schwander K, Lee S, Wang W, Brown MR, Morrison JL, Giri A, O’Connell JR, Bartz TM, de las Fuentes L, Gudmundsdottir V, Guo X, Harris SE, Huang Z, Kals M, Kho M, Lefevre C, Luan J, Lyytikäinen LP, Mangino M, Milaneschi Y, Palmer ND, Rao V, Rauramaa R, Shen B, Stadler S, Sun Q, Tang J, Thériault S, van der Graaf A, van der Most PJ, Wang Y, Weiss S, Westerman KE, Yang Q, Yasuharu T, Zhao W, Zhu W, Altschul D, Ansari MAY, Anugu P, Argoty-Pantoja AD, Arzt M, Aschard H, Attia JR, Bazzanno L, Breyer MA, Brody JA, Cade BE, Chen HH, Ida Chen YD, Chen Z, de Vries PS, Dimitrov LM, Do A, Du J, Dupont CT, Edwards TL, Evans MK, Faquih T, Felix SB, Fisher-Hoch SP, Floyd JS, Graff M, Gu C, Gu D, Hairston KG, Hanley AJ, Heid IM, Heikkinen S, Highland HM, Hood MM, Kähönen M, Karvonen-Gutierrez CA, Kawaguchi T, Kazuya S, Kelly TN, Komulainen P, Levy D, Lin HJ, Liu PY, Marques-Vidal P, McCormick JB, Mei H, Meigs JB, Menni C, Nam K, Nolte IM, Pacheco NL, Petty LE, Polikowsky HG, Province MA, Psaty BM, Raffield LM, Raitakari OT, Rich SS, Riha RL, Risch L, Risch M, Ruiz-Narvaez EA, Scott RJ, Sitlani CM, Smith JA, Sofer T, Teder-Laving M, Völker U, Vollenweider P, Wang G, van Dijk KW, Wilson OD, Xia R, Yao J, Young KL, Zhang R, Zhu X, Below JE, Böger CA, Conen D, Cox SR, Dörr M, Feitosa MF, Fox ER, Franceschini N, Gharib SA, Gudnason V, Harlow SD, He J, Holliday EG, Kutalik Z, Lakka TA, Lawlor DA, Lee S, Lehtimäki T, Li C, Liu CT, Mägi R, Matsuda F, Morrison AC, Penninx BWJH, Peyser PA, Rotter JI, Snieder H, Spector TD, Wagenknecht LE, Wareham NJ, Zonderman AB, North KE, Fornage M, Hung AM, Manning AK, Gauderman J, Chen H, Munroe PB, Rao DC, van Heemst D, Redline S, Noordam R, Wang H. A Large-Scale Genome-Wide Study of Gene-Sleep Duration Interactions for Blood Pressure in 811,405 Individuals from Diverse Populations. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.03.07.24303870. [PMID: 38496537 PMCID: PMC10942520 DOI: 10.1101/2024.03.07.24303870] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/19/2024]
Abstract
Although both short and long sleep duration are associated with elevated hypertension risk, our understanding of their interplay with biological pathways governing blood pressure remains limited. To address this, we carried out genome-wide cross-population gene-by-short-sleep and long-sleep duration interaction analyses for three blood pressure traits (systolic, diastolic, and pulse pressure) in 811,405 individuals from diverse population groups. We discover 22 novel gene-sleep duration interaction loci for blood pressure, mapped to genes involved in neurological, thyroidal, bone metabolism, and hematopoietic pathways. Non-overlap between short sleep (12) and long sleep (10) interactions underscores the plausibility of distinct influences of both sleep duration extremes in cardiovascular health. With several of our loci reflecting specificity towards population background or sex, our discovery sheds light on the importance of embracing granularity when addressing heterogeneity entangled in gene-environment interactions, and in therapeutic design approaches for blood pressure management.
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Affiliation(s)
- Pavithra Nagarajan
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - Thomas W Winkler
- Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany
| | - Amy R Bentley
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, US National Institutes of Health, Bethesda, MD, USA
| | - Clint L Miller
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesvil le, VA, USA
- Department of Biochemistry and Molecular Genetics, University of Virginia, Charlottesville ,VA, USA
| | - Aldi T Kraja
- University of Mississippi Medical Center, Jackson, MS, USA
| | - Karen Schwander
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
| | - Songmi Lee
- Brown Foundation Institute of Molecular Medicine, University of Texas Health Science Center at Houston, McGovern Medical School, Houston, TX, USA
| | - Wenyi Wang
- Department of Human Genetics, Leiden University Medical Center, Leiden, Netherlands
| | - Michael R Brown
- Human Genetics Center, Department of Epidemiology, University of Texas Health Science Center at Houston School of Public Health, Houston, TX, USA
| | - John L Morrison
- Division of Biostatistics, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Ayush Giri
- Division of Quantitative Sciences, Department of Obstetrics & Gynecology, Vanderbilt University Medical Center, Nashville, TN, USA
- Biomedical Laboratory Research and Development, Tennessee Valley Healthcare System (626), Department of Veterans Affairs/ Nashville, TN, USA
| | - Jeffrey R O’Connell
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Traci M Bartz
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Lisa de las Fuentes
- Cardiovascular Division, Department of Medicine, Washington University School of Medicine in St. Louis, MO, USA
- Center for Biostatistics and Data Science, Institute for Informatics, Data Science, and Biostatistics, Washington University in St. Louis, School of Medicine, St. Louis, MO, USA
| | - Valborg Gudmundsdottir
- Icelandic Heart Association, Kopavogur, Iceland
- Faculty of Medicine, Department of Health Sciences, University of Iceland, Reykjavik, Iceland
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Sarah E Harris
- Department of Psychology, The University of Edinburgh, Edinburgh, UK
| | - Zhijie Huang
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, US
| | - Mart Kals
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Minjung Kho
- Graduate School of Data Science, Seoul National University, Seoul, South Korea
| | - Christophe Lefevre
- Department of Data Sciences, Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
| | - Jian’an Luan
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Leo-Pekka Lyytikäinen
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
- Finnish Cardiovascular Research Center - Tampere, Department of Clinical Chemistry, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere, Finland
| | - Massimo Mangino
- Department of Twin Research, King’s College London, London, UK
- National Heart & Lung Institute, Cardiovascular Genomics and Precision Medicine, Imperial College London, London, UK
| | - Yuri Milaneschi
- Department of Psychiatry, Amsterdam UMC/Vrije universiteit, Amsterdam, Netherlands
- GGZ inGeest, Amsterdam, Netherlands
| | - Nicholette D Palmer
- Department of Biochemistry, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Varun Rao
- Division of Nephrology, Department of Medicine, University of Illinois Chicago, Chicago, USA
| | - Rainer Rauramaa
- Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
| | - Botong Shen
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, Maryland
| | - Stefan Stadler
- Department of Internal Medicine II, University Hospital Regensburg, Regensburg, Germany
| | - Quan Sun
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jingxian Tang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Sébastien Thériault
- Department of Molecular Biology, Medical Biochemistry and Pathology, Université Laval, Quebec City, Qc, Canada
| | - Adriaan van der Graaf
- Statistical Genetics Group, Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
| | - Peter J van der Most
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Yujie Wang
- Department of Epidemiology, UNC Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Stefan Weiss
- Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
- DZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
| | - Kenneth E Westerman
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Clinical and Translational Epidemiology Unit, Mongan Institute, Massachusetts General Hospital, Boston, MA, USA
| | - Qian Yang
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Tabara Yasuharu
- Graduate School of Public Health, Shizuoka Graduate University of Public Health, Shizuoka, Japan
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Wei Zhao
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Wanying Zhu
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Drew Altschul
- Department of Psychology, The University of Edinburgh, Edinburgh, UK
| | - Md Abu Yusuf Ansari
- Department of Data Science, University of Mississippi Medical Center, Jackson, MS, USA
| | - Pramod Anugu
- Jackson Heart Study, University of Mississippi Medical Center, Jackson, MS, USA
| | - Anna D Argoty-Pantoja
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Michael Arzt
- Department of Internal Medicine II, University Hospital Regensburg, Regensburg, Germany
| | - Hugues Aschard
- Department of Computational Biology, F-75015 Paris, France Institut Pasteur, Université Paris Cité, Paris, France
- Department of Epidemiology, Harvard TH School of Public Health, Boston, MA, USA
| | - John R Attia
- School of Medicine and Public Health, College of Health Medicine and Wellbeing, University of Newcastle, New Lambton Heights, NSW, Australia
| | - Lydia Bazzanno
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, US
| | - Max A Breyer
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jennifer A Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Brian E Cade
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Hung-hsin Chen
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Yii-Der Ida Chen
- The Institute for Translational Genomics and Population Sciences, Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Zekai Chen
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Paul S de Vries
- Human Genetics Center, Department of Epidemiology, University of Texas Health Science Center at Houston School of Public Health, Houston, TX, USA
| | - Latchezar M Dimitrov
- Department of Biochemistry, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Anh Do
- Center for Biostatistics and Data Science, Institute for Informatics, Data Science, and Biostatistics, Washington University in St. Louis, School of Medicine, St. Louis, MO, USA
| | - Jiawen Du
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Charles T Dupont
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Todd L Edwards
- Biomedical Laboratory Research and Development, Tennessee Valley Healthcare System (626), Department of Veterans Affairs/ Nashville, TN, USA
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, US A
| | - Michele K Evans
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, Maryland
| | - Tariq Faquih
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Stephan B Felix
- DZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
- Cardiology, Pneumology, Infectious Diseases, Intensive Care Medicine, Department of Internal Medicine B, Un iversity Medicine Greifswald, Greifswald, Germany
| | - Susan P Fisher-Hoch
- School of Public Health, The University of Texas Health Science Center at Houston (UTHealth), Brownsville, TX, USA
| | - James S Floyd
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Mariaelisa Graff
- Department of Epidemiology, UNC Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Charles Gu
- Center for Biostatistics and Data Science, Institute for Informatics, Data Science, and Biostatistics, Washington University in St. Louis, School of Medicine, St. Louis, MO, USA
| | - Dongfeng Gu
- Shenzhen Key Laboratory of Cardiovascular Health and Precision Medicine, Southern University of Science an d Technology, Shenzhen, China
| | - Kristen G Hairston
- Department of Endocrinology, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Anthony J Hanley
- Department of Nutritional Sciences, University of Toronto, Toronto, ON, Canada
| | - Iris M Heid
- Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany
| | - Sami Heikkinen
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, Kuopio
| | - Heather M Highland
- Department of Epidemiology, UNC Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Michelle M Hood
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Mika Kähönen
- Finnish Cardiovascular Research Center - Tampere, Department of Clinical Chemistry, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere, Finland
- Department of Clinical Physiology, Tampere University Hospital, Tampere, Finland
| | | | - Takahisa Kawaguchi
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Setoh Kazuya
- Graduate School of Public Health, Shizuoka Graduate University of Public Health, Shizuoka, Japan
| | - Tanika N Kelly
- Division of Nephrology, Department of Medicine, University of Illinois Chicago, Chicago, USA
| | | | - Daniel Levy
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
- Framingham Heart Study, Framingham, MA, USA
| | - Henry J Lin
- The Institute for Translational Genomics and Population Sciences, Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Peter Y Liu
- The Institute for Translational Genomics and Population Sciences, Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Pedro Marques-Vidal
- Department of Medicine, Internal Medicine, Lausanne University Hospital (CHUV), Lausanne, Switzerland
- Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland
| | - Joseph B McCormick
- School of Public Health, The University of Texas Health Science Center at Houston (UTHealth), Brownsville, TX, USA
| | - Hao Mei
- Department of Data Science, University of Mississippi Medical Center, Jackson, MS, USA
| | - James B Meigs
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
| | - Cristina Menni
- Department of Twin Research, King’s College London, London, UK
| | - Kisung Nam
- Graduate School of Data Science, Seoul National University, Seoul, South Korea
| | - Ilja M Nolte
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Natasha L Pacheco
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, Maryland
| | - Lauren E Petty
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Hannah G Polikowsky
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Michael A Province
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Laura M Raffield
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - Olli T Raitakari
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, and Department of Clinical Physiology and Nuclear Medicine, University of Turku, and Turku University Hospital, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
- Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - Renata L Riha
- Department of Sleep Medicine, The University of Edinburgh, Edinburgh, UK
| | - Lorenz Risch
- Faculty of Medical Sciences , Institute for Laboratory Medicine, Private University in the Principality of Liecht enstein, Vaduz, Liechtenstein
- Center of Laboratory Medicine, Institute of Clinical Chemistry, University of Bern and Inselspital, Bern, Switze rland
| | - Martin Risch
- Central Laboratory, Cantonal Hospital Graubünden, Chur, Switzerland
- Medical Laboratory, Dr. Risch Anstalt, Vaduz, Liechtenstein
| | | | - Rodney J Scott
- School of Biomedical Sciences and Pharmacy, College of Health Medicine and Wellbeing, University of Newcastle, New Lambton Heights, NSW, Australia
| | - Colleen M Sitlani
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Jennifer A Smith
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- CardioVascular Institute (CVI), Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Maris Teder-Laving
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Uwe Völker
- Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
- DZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
| | - Peter Vollenweider
- Department of Medicine, Internal Medicine, Lausanne University Hospital (CHUV), Lausanne, Switzerland
- Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland
| | - Guanchao Wang
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Ko Willems van Dijk
- Department of Human Genetics, Leiden University Medical Center, Leiden, Netherlands
- Department of Internal Medicine, Division of Endocrinology, Leiden, Netherlands
| | - Otis D Wilson
- Biomedical Laboratory Research and Development, Tennessee Valley Healthcare System (626), Department of Veterans Affairs/ Nashville, TN, USA
- Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Rui Xia
- Brown Foundation Institute of Molecular Medicine, University of Texas Health Science Center at Houston, McGovern Medical School, Houston, TX, USA
| | - Jie Yao
- The Institute for Translational Genomics and Population Sciences, Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Kristin L Young
- Department of Epidemiology, UNC Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Ruiyuan Zhang
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, US
| | - Xiaofeng Zhu
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, USA
| | - Jennifer E Below
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Carsten A Böger
- Department of Nephrology, University Hospital Regensburg, Regensburg, Germany
- Department of Nephrology and Rheumatology, Kliniken Südostbayern, Traunstein, Germany
- KfH Kidney Centre Traunstein, Traunstein, Germany
| | - David Conen
- Population Health Research Institute, Medicine, McMaster University, Hamilton, On, Canada
| | - Simon R Cox
- Department of Psychology, The University of Edinburgh, Edinburgh, UK
| | - Marcus Dörr
- DZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
- Cardiology, Pneumology, Infectious Diseases, Intensive Care Medicine, Department of Internal Medicine B, Un iversity Medicine Greifswald, Greifswald, Germany
| | - Mary F Feitosa
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
| | - Ervin R Fox
- Jackson Heart Study, Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Nora Franceschini
- Department of Epidemiology, UNC Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Sina A Gharib
- Pulmonary, Critical Care and Sleep Medicine, Medicine, University of Washington, Seattle, WA, USA
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- Faculty of Medicine, Department of Health Sciences, University of Iceland, Reykjavik, Iceland
| | - Sioban D Harlow
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Jiang He
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, US
- Tulane University Translational Sciences Institute, New Orleans, LA , USA
| | - Elizabeth G Holliday
- School of Medicine and Public Health, College of Health Medicine and Wellbeing, University of Newcastle, New Lambton Heights, NSW, Australia
| | - Zoltan Kutalik
- Statistical Genetics Group, Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
- Center for Primary Care and Public Health, University of Lausanne, Lausanne, Switzerland
| | - Timo A Lakka
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, Kuopio
- Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, Kuopio, Finland
- Foundation for Research in Health Exercise and Nutrition, Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
| | - Deborah A Lawlor
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Seunggeun Lee
- Graduate School of Data Science, Seoul National University, Seoul, South Korea
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
- Finnish Cardiovascular Research Center - Tampere, Department of Clinical Chemistry, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere, Finland
| | - Changwei Li
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, US
| | - Ching-Ti Liu
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Reedik Mägi
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Fumihiko Matsuda
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Alanna C Morrison
- Human Genetics Center, Department of Epidemiology, University of Texas Health Science Center at Houston School of Public Health, Houston, TX, USA
| | - Brenda WJH Penninx
- Department of Psychiatry, Amsterdam UMC/Vrije universiteit, Amsterdam, Netherlands
- GGZ inGeest, Amsterdam, Netherlands
| | - Patricia A Peyser
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Tim D Spector
- Department of Twin Research, King’s College London, London, UK
| | - Lynne E Wagenknecht
- Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | | | - Alan B Zonderman
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, Maryland
| | - Kari E North
- Department of Epidemiology, UNC Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, University of Texas Health Science Center at Houston, McGovern Medical School, Houston, TX, USA
- Human Genetics Center, Department of Epidemiology, University of Texas Health Science Center at Houston School of Public Health, Houston, TX, USA
| | | | - Adriana M Hung
- Biomedical Laboratory Research and Development, Tennessee Valley Healthcare System (626), Department of Veterans Affairs/ Nashville, TN, USA
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, USA
| | - Alisa K Manning
- Clinical and Translational Epidemiology Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Metabolism Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - James Gauderman
- Division of Biostatistics, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Han Chen
- Human Genetics Center, Department of Epidemiology, University of Texas Health Science Center at Houston School of Public Health, Houston, TX, USA
- Center for Precision Health, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Patricia B Munroe
- Clinical Pharmacology and Precision Medicine, Queen Mary University of London, London, UK
| | - Dabeeru C Rao
- Center for Biostatistics and Data Science, Institute for Informatics, Data Science, and Biostatistics, Washington University in St. Louis, School of Medicine, St. Louis, MO, USA
| | - Diana van Heemst
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Lei den, Netherlands
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Raymond Noordam
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Lei den, Netherlands
| | - Heming Wang
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
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Hash JB, Walker AJ, Ward TM, Oxford ML, Spieker SJ. Trying to Do What's Best: Maternal Perspectives About Toddler Sleep Health Among an Underresourced Sample of Mothers With Diverse Racial and Ethnic Identities. J Pediatr Health Care 2024; 38:160-171. [PMID: 38429028 PMCID: PMC10987074 DOI: 10.1016/j.pedhc.2023.12.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 11/29/2023] [Accepted: 12/03/2023] [Indexed: 03/03/2024]
Abstract
INTRODUCTION This study describes mothers' knowledge, attitudes, beliefs, and practices about their toddler's sleep health among an underresourced sample of mothers with diverse racial and ethnic identities. METHOD This was a descriptive qualitative study with 16 mothers and their 12- to 36-month-old child. Mothers completed a semistructured, audio-recorded interview about their toddler's sleep health. Data were analyzed using inductive content analysis on the basis of established methods. RESULTS Mothers self-identified as 18.8% Black, 43.8% White, 12.5% multiracial, 25.0% other race, and 37.5% Hispanic. Of the mothers, 80.0% reported a past year household income of ≤ $40,000. A core construct, "Trying to do What's Best," emerged from the interview data, and this construct included three domains: Getting Good Sleep, Getting Thrown Off, and Rolling With It. DISCUSSION Findings support future strengths-based and multilevel sleep health-promoting interventions.
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Semenza DC, Hamilton JL, Testa A, Jackson DB. Individual and cumulative firearm violence exposure: Implications for sleep among Black and American Indian/Alaska Native adults. Ann Epidemiol 2024; 91:18-22. [PMID: 38244953 DOI: 10.1016/j.annepidem.2024.01.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 01/11/2024] [Accepted: 01/17/2024] [Indexed: 01/22/2024]
Abstract
PURPOSE We investigated the relationship between various forms of firearm violence exposure and sleep problems among nationally representative samples of Black (N = 3015) and American Indian and Alaska Native (AI/AN) (N = 527) adults, focusing on difficulties falling asleep, staying asleep, and waking too early. Survey data were collected in April and May 2023. METHODS We employed negative binomial regression models to analyze the associations between the different types of firearm violence exposure and sleep problems. We further examined associations between cumulative firearm violence exposure and sleep outcomes. RESULTS A substantial proportion of Black (59%) and AI/AN (56%) adults reported experiencing some form of firearm violence exposure. Being threatened with a firearm emerged as a consistent factor associated with sleep problems for both racial groups. Witnessing or hearing about shootings was linked to sleep problems in the Black sample, while cumulative firearm violence exposure was associated with all sleep problems in both groups. CONCLUSIONS Individual and cumulative firearm violence exposure is associated with increased sleep problems among Black and AI/AN adults.
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Affiliation(s)
- Daniel C Semenza
- Department of Sociology, Anthropology, and Criminal Justice, Rutgers University, Camden, NJ, USA; Department of Urban-Global Public Health, Rutgers University, Piscataway, NJ, USA; New Jersey Gun Violence Research Center, Rutgers University, Piscataway, NJ, USA.
| | | | - Alexander Testa
- Department of Management, Policy and Community Health, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Dylan B Jackson
- Department of Population, Family, and Reproductive Health, Bloomberg School of Public Health, Johns Hopkins University, Maryland, MD, USA
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Farabi SS, Schwarz C, Persaud A, Gilbert A, Haire-Joshu D, Tabak RG. Sleep, Stress, and Cardiometabolic Health in Women of Childbearing Age with Overweight and Obesity. WOMEN'S HEALTH REPORTS (NEW ROCHELLE, N.Y.) 2024; 5:143-151. [PMID: 38414886 PMCID: PMC10898232 DOI: 10.1089/whr.2023.0138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 12/16/2023] [Indexed: 02/29/2024]
Abstract
Background Sleep is important for health, but its relationship to cardiometabolic health in women of childbearing age remains unclear. Furthermore, stress, unmet basic needs, and lack of physical activity may be related to disrupted sleep and poor cardiometabolic health in women of childbearing age and these relationships may differ by ethnicity. The purposes of this study were to investigate the relationship between sleep, markers of cardiometabolic health, stress, unmet basic needs, and physical activity in women of childbearing age with overweight or obesity and identify if these relationships differed between women that identified as Latino/Hispanic and non-Latino/Hispanic ethnicity. Methods A secondary cross-sectional analysis was conducted using baseline data from a trial that embeds healthy eating and activity into a national home visiting program, Parents as Teachers. The sample was stratified based on self-reported ethnicity (Hispanic/Latino or non-Hispanic/Latino). Pearson's and Spearman's correlations were used to determine bivariate relationships among sleep, cardiometabolic variables, stress, unmet basic needs, and physical activity. Results Two hundred seventy-six women, 46% of whom identified as Hispanic/Latino, were included in the analysis. Body mass index (BMI) was significantly correlated with sleep disturbance (ρ = 0.23, p = 0.01) in women who identify as Hispanic/Latino. Stress was positively related to sleep disturbance, sleep duration, and unmet needs for both groups of women. BMI was correlated with unmet basic needs in women who identified as non-Hispanic/Latino (ρ = 0.25, p = 0.01). Conclusions Our results suggest that sleep, stress, and basic needs are important in understanding cardiometabolic health in women of childbearing age and these relationships differ depending on ethnicity. Clinical Trial Registration Number: NCT03758638.
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Affiliation(s)
- Sarah S Farabi
- Office of Nursing Research, Goldfarb School of Nursing, St. Louis, Missouri, USA
- Division of Nutritional Science & Obesity Medicine, Center of Human Nutrition, Washington University in St. Louis School of Medicine, St. Louis, Missouri, USA
| | - Cindy Schwarz
- Brown School, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Alicia Persaud
- Brown School, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Amanda Gilbert
- Brown School, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Debra Haire-Joshu
- Public Health at the Brown School, Washington University in St. Louis, St. Louis, Missouri, USA
- Department of Medicine, School of Medicine, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Rachel G Tabak
- Brown School, Washington University in St. Louis, St. Louis, Missouri, USA
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Johnson DA. Neighborhoods: place-based opportunities for advancing sleep health. Sleep 2024; 47:zsad322. [PMID: 38141244 PMCID: PMC10851841 DOI: 10.1093/sleep/zsad322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Indexed: 12/25/2023] Open
Affiliation(s)
- Dayna A Johnson
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
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Heller HC, Herzog E, Brager A, Poe G, Allada R, Scheer FAJL, Carskadon M, de la Iglesia HO, Jang R, Montero A, Wright K, Mouraine P, Walker MP, Goel N, Hogenesch J, Van Gelder RN, Kriegsfeld L, Mah C, Colwell C, Zeitzer J, Grandner M, Jackson CL, Prichard JR, Kay SA, Paul K. The Negative Effects of Travel on Student Athletes Through Sleep and Circadian Disruption. J Biol Rhythms 2024; 39:5-19. [PMID: 37978840 PMCID: PMC11262807 DOI: 10.1177/07487304231207330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2023]
Abstract
Collegiate athletes must satisfy the academic obligations common to all undergraduates, but they have the additional structural and social stressors of extensive practice time, competition schedules, and frequent travel away from their home campus. Clearly such stressors can have negative impacts on both their academic and athletic performances as well as on their health. These concerns are made more acute by recent proposals and decisions to reorganize major collegiate athletic conferences. These rearrangements will require more multi-day travel that interferes with the academic work and personal schedules of athletes. Of particular concern is additional east-west travel that results in circadian rhythm disruptions commonly called jet lag that contribute to the loss of amount as well as quality of sleep. Circadian misalignment and sleep deprivation and/or sleep disturbances have profound effects on physical and mental health and performance. We, as concerned scientists and physicians with relevant expertise, developed this white paper to raise awareness of these challenges to the wellbeing of our student-athletes and their co-travelers. We also offer practical steps to mitigate the negative consequences of collegiate travel schedules. We discuss the importance of bedtime protocols, the availability of early afternoon naps, and adherence to scheduled lighting exposure protocols before, during, and after travel, with support from wearables and apps. We call upon departments of athletics to engage with sleep and circadian experts to advise and help design tailored implementation of these mitigating practices that could contribute to the current and long-term health and wellbeing of their students and their staff members.
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Affiliation(s)
- H. Craig Heller
- Department of Biology, Stanford University, Stanford, California, USA
| | - Erik Herzog
- Department of Biology, Washington University, St. Louis, Missouri, USA
| | - Allison Brager
- U.S. Army John F. Kennedy Special Warfare Center and School, Fort Bragg, North California, USA
| | - Gina Poe
- UCLA Brain Research Institute, Los Angeles, California, USA
| | - Ravi Allada
- Department of Neurobiology, Northwestern University, Chicago, Illinois, USA
| | - Frank A. J. L. Scheer
- Medical Chronobiology Program, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Mary Carskadon
- Department of Psychiatry and Human Behavior, Bradley Hospital, Brown University, Providence, Rhode Island, USA
| | | | - Rockelle Jang
- UCLA Brain Research Institute, Los Angeles, California, USA
| | - Ashley Montero
- Department of Psychology, Flinders University, Adelaide, SA, Australia
| | - Kenneth Wright
- Integrative Physiology, University of Colorado, Boulder, Colorado, USA
| | - Philippe Mouraine
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California, USA
| | - Matthew P. Walker
- Department of Psychology, University of California, Berkeley, California, USA
| | - Namni Goel
- Department of Psychiatry and Behavioral Sciences, Rush University, Chicago, Illinois, USA
| | - John Hogenesch
- Department of Genetics, Cincinnati University, Cincinnati, Ohio, USA
| | | | - Lance Kriegsfeld
- Department of Psychology, University of California, Berkeley, California, USA
| | - Cheri Mah
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California, USA
| | - Christopher Colwell
- Department of Psychiatry and Behavioral Sciences, University of California, Los Angeles, California, USA
| | - Jamie Zeitzer
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California, USA
| | | | - Chandra L. Jackson
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina, USA
- Division of Intramural Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, Maryland, USA
| | | | - Steve A. Kay
- Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Ketema Paul
- Integrative Biology and Physiology, University of California, Los Angeles, California, USA
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Attarian H, Dunietz GL, Gavidia-Romero R, Jansen E, Johnson DA, Kelman A, Knutson K. Addressing sleep deserts: A proposed call for action. Sleep Health 2024; 10:S15-S18. [PMID: 37926658 PMCID: PMC11181961 DOI: 10.1016/j.sleh.2023.09.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2023] [Revised: 09/15/2023] [Accepted: 09/18/2023] [Indexed: 11/07/2023]
Abstract
Sleep deserts are a major cause of health inequity. They occur primarily in disadvantaged neighborhoods because of structural racism, social and environmental factors, and dearth of medical services. We describe several strategies that can serve as a feasible action plan to target structural racism, environmental pollution, and impact of climate change. We also suggest ways healthcare providers in these underserved areas can incorporate sleep medicine into their practice. Lastly, we highlight strategies to increase community awareness of sleep health in a culturally sensitive manner. There are several ways, from a policy level to healthcare that we can begin to eliminate sleep deserts, which is urgently needed.
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Affiliation(s)
- Hrayr Attarian
- Northwestern University, Feinberg School of Medicine, Department of Neurology, Chicago, Illinois, USA.
| | - Galit Levi Dunietz
- University of Michigan Medical School, Department of Neurology, Ann Arbor, Michigan, USA
| | - Ronald Gavidia-Romero
- University of Michigan Medical School, Department of Neurology, Ann Arbor, Michigan, USA
| | - Erica Jansen
- University of Michigan Medical School, Department of Neurology, Ann Arbor, Michigan, USA
| | - Dayna A Johnson
- Emory University, Rollins School of Public Health, Department of Epidemiology, Atlanta, Georgia, USA
| | - Alexa Kelman
- University of Michigan Medical School, Department of Neurology, Ann Arbor, Michigan, USA
| | - Kristen Knutson
- Northwestern University, Feinberg School of Medicine, Department of Neurology, Chicago, Illinois, USA
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Edmed SL, Huda MM, Pattinson CL, Rossa KR, Smith SS. Perceived Neighborhood Characteristics and Sleep in Australian Adults. HEALTH EDUCATION & BEHAVIOR 2024; 51:155-166. [PMID: 37306016 PMCID: PMC10785564 DOI: 10.1177/10901981231177687] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
BACKGROUND Poor sleep can contribute to poorer health and socioemotional outcomes. Sleep health can be influenced by a range of individual and other socioecological factors. Perceptions of neighborhood physical and social characteristics reflect broader social-level factors that may influence sleep, which have not been well studied in the Australian context. This study examined the association between perceived neighborhood characteristics and sleep in a large sample of Australians. METHODS Data were from 9,792 people aged 16 years or older, from Waves 16 and 17 of the nationally representative Household, Income and Labour Dynamics in Australia Survey. Associations between perceived neighborhood characteristics (neighborly interaction and support, environmental noise, physical condition, and insecurity) and self-reported sleep duration, sleep disturbance, and napping were examined using multiple logistic regression models. RESULTS "Neighborhood interaction and support" and "neighborhood physical condition" were not significantly associated with any sleep outcomes after adjusting for relevant covariates. However, "environmental noise" and "neighborhood insecurity" remained significantly associated with sleep duration and sleep disturbance. None of the neighborhood characteristics were associated with napping. Furthermore, associations did not significantly vary by gender. CONCLUSIONS This study highlights the potential benefit of public health policies to address noise and safety in neighborhoods to improve sleep.
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Affiliation(s)
- Shannon L. Edmed
- Institute for Social Science Research, The University of Queensland, Brisbane, Queensland, Australia
- ARC Centre of Excellence for Children and Families over the Life Course, The University of Queensland, Brisbane, Queensland, Australia
| | - M. Mamun Huda
- ARC Centre of Excellence for Children and Families over the Life Course, The University of Queensland, Brisbane, Queensland, Australia
- Poche Centre for Indigenous Health, The University of Queensland, Brisbane, Queensland, Australia
| | - Cassandra L. Pattinson
- Institute for Social Science Research, The University of Queensland, Brisbane, Queensland, Australia
- ARC Centre of Excellence for Children and Families over the Life Course, The University of Queensland, Brisbane, Queensland, Australia
- ARC Centre of Excellence for the Digital Child, The University of Queensland, Brisbane, Queensland, Australia
| | - Kalina R. Rossa
- Institute for Social Science Research, The University of Queensland, Brisbane, Queensland, Australia
- ARC Centre of Excellence for Children and Families over the Life Course, The University of Queensland, Brisbane, Queensland, Australia
| | - Simon S. Smith
- Institute for Social Science Research, The University of Queensland, Brisbane, Queensland, Australia
- ARC Centre of Excellence for Children and Families over the Life Course, The University of Queensland, Brisbane, Queensland, Australia
- ARC Centre of Excellence for the Digital Child, The University of Queensland, Brisbane, Queensland, Australia
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49
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Johnson DA, Wallace DA, Ward L. Racial/ethnic and sex differences in the association between light at night and actigraphy-measured sleep duration in adults: NHANES 2011-2014. Sleep Health 2024; 10:S184-S190. [PMID: 37951773 PMCID: PMC11031299 DOI: 10.1016/j.sleh.2023.09.011] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 09/18/2023] [Accepted: 09/22/2023] [Indexed: 11/14/2023]
Abstract
OBJECTIVE Historically minoritized individuals experience greater exposure to light at night, yet it is unclear whether the association between light at night and sleep duration vary by race/ethnicity or sex. We examined the association between light at night and sleep duration by race/ethnicity and sex. METHODS Participants (N = 6089, mean age=49.5, 52% women, 13% Asian, 27% Black, 14% Mexican, 46% White) in the 2011-2014 National Health and Nutrition Examination Survey underwent 9-day of actigraphy. Light at night was defined as light exposure within the 5-hour activity nadir (L5). Sleep duration within a 24-hour period was analyzed as short (<7 hours) or long (>9 hours) compared to recommended (≥7 and <9 hours). Poisson models were fit to estimate the association between light at night and sleep duration after adjustment for covariates. RESULTS Light at night was most common among Black participants, who also had the shortest sleep duration. Overall, light at night was associated with 80% higher prevalence of short sleep duration [1.80 (1.49, 2.18)]. Compared to no-light at night, low and high light at night were associated with higher prevalence of short sleep duration, [1.61 (1.31, 1.98) and 2.01 (1.66, 2.44), respectively]. Associations varied by race/ethnicity and sex. Light at night was associated with shorter sleep duration in Black, Mexican and White females and Mexican and White males only. Black males exposed to light at night vs. no-light at night had lower prevalence of long sleep duration. There were no associations between light at night and sleep duration among Asian participants. CONCLUSION Light at night was associated with shorter sleep duration, particularly among females. Targeting light exposure may help to improve sleep duration.
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Affiliation(s)
- Dayna A Johnson
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.
| | - Danielle A Wallace
- Department of Medicine, Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, USA; Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Laura Ward
- Department of Biostatistics and Informatics, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
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50
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Rodrigues R, Jing A, Anderson KK, Alonzo R, Wilk P, Reid GJ, Gilliland J, Zou G, Nicholson K, Guaiana G, Stranges S. Who sleeps well in Canada? The social determinants of sleep health among middle-aged and older adults in the Canadian Longitudinal Study on Aging. Sleep Health 2024; 10:104-113. [PMID: 37977986 DOI: 10.1016/j.sleh.2023.09.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 09/25/2023] [Accepted: 09/30/2023] [Indexed: 11/19/2023]
Abstract
OBJECTIVES Sleep health inequities likely contribute to disparities in health outcomes. Our objective was to identify social determinants of sleep health among middle-aged/older adults in Canada, where prior evidence is limited. METHODS We analyzed cross-sectional data from the Canadian Longitudinal Study on Aging, a survey of over 30,000 community-dwelling adults aged 45-85years. Self-reported measures included sleep duration, sleep satisfaction, and sleep efficiency. We explored associations between sleep measures and social determinants of health. We used modified Poisson regression to estimate prevalence ratios for sleep satisfaction and sleep efficiency, and linear regression for sleep duration. Estimates were adjusted for all social, lifestyle, and clinical covariates. We explored effect modification by sex. RESULTS Of the 11 social determinants explored, all were significantly associated with at least one domain of sleep health. These associations were reduced to 9 variables with adjustment for all social variables, and 7 with further adjustment for lifestyle and clinical covariates, including differences by sex, age, education, marital status, employment, race/ethnicity, and sexual orientation. Better sleep health in >1 domain was observed among males, older age groups (65 and older), higher income groups, the retired group, and homeowners with adjustment for social variables, and only in males and older age groups with additional adjustment for lifestyle and clinical variables. Only sleep duration associations were modified by sex. CONCLUSIONS Sleep health disparities among Canadian adults exist across socioeconomic gradients and racial/ethnic minority groups. Poor sleep health among disadvantaged groups warrants increased attention as a public health problem in Canada.
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Affiliation(s)
- Rebecca Rodrigues
- Department of Epidemiology and Biostatistics, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada
| | - Amy Jing
- Department of Epidemiology and Biostatistics, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada
| | - Kelly K Anderson
- Department of Epidemiology and Biostatistics, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada; Lawson Health Research Institute, London, Ontario, Canada; Department of Psychiatry, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada
| | - Rea Alonzo
- Department of Epidemiology and Biostatistics, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada
| | - Piotr Wilk
- Department of Epidemiology and Biostatistics, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada; Lawson Health Research Institute, London, Ontario, Canada; Department of Paediatrics, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada; Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland; Department of Epidemiology, Maastricht University, Maastricht, the Netherlands
| | - Graham J Reid
- Department of Paediatrics, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada; Department of Family Medicine, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada; Department of Psychology, Western University, London, Ontario, Canada; Robarts Research Institute, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada; Children's Health Research Institute, London, Ontario, Canada
| | - Jason Gilliland
- Department of Epidemiology and Biostatistics, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada; Lawson Health Research Institute, London, Ontario, Canada; Department of Paediatrics, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada; Department of Geography and Environment, Western University, London, Ontario, Canada; School of Health Studies, Western University, London, Ontario, Canada; Human Environments Analysis Laboratory, London, Ontario, Canada; Children's Health Research Institute, London, Ontario, Canada
| | - Guangyong Zou
- Department of Epidemiology and Biostatistics, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada; Robarts Research Institute, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada
| | - Kathryn Nicholson
- Department of Epidemiology and Biostatistics, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada
| | - Giuseppe Guaiana
- Department of Epidemiology and Biostatistics, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada; Department of Psychiatry, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada
| | - Saverio Stranges
- Department of Epidemiology and Biostatistics, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada; Department of Family Medicine, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada; Department of Medicine, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada; Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg.
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