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Fonseca LM, Finlay MG, Chaytor NS, Morimoto NG, Buchwald D, Van Dongen HPA, Quan SF, Suchy-Dicey A. Mid-life sleep is associated with cognitive performance later in life in aging American Indians: data from the Strong Heart Study. Front Aging Neurosci 2024; 16:1346807. [PMID: 38903901 PMCID: PMC11188442 DOI: 10.3389/fnagi.2024.1346807] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Accepted: 04/23/2024] [Indexed: 06/22/2024] Open
Abstract
Background Sleep-related disorders have been associated with cognitive decline and neurodegeneration. American Indians are at increased risk for dementia. Here, we aim to characterize, for the first time, the associations between sleep characteristics and subsequent cognitive performance in a sample of aging American Indians. Methods We performed analyses on data collected in two ancillary studies from the Strong Heart Study, which occurred approximately 10 years apart with an overlapping sample of 160 American Indians (mean age at follow-up 73.1, standard deviation 5.6; 69.3% female and 80% with high school completion). Sleep measures were derived by polysomnography and self-reported questionnaires, including sleep timing and duration, sleep latency, sleep stages, indices of sleep-disordered breathing, and self-report assessments of poor sleep and daytime sleepiness. Cognitive assessment included measures of general cognition, processing speed, episodic verbal learning, short and long-delay recall, recognition, and phonemic fluency. We performed correlation analyses between sleep and cognitive measures. For correlated variables, we conducted separate linear regressions. We analyzed the degree to which cognitive impairment, defined as more than 1.5 standard deviations below the average Modified Mini Mental State Test score, is predicted by sleep characteristics. All regression analyses were adjusted for age, sex, years of education, body mass index, study site, depressive symptoms score, difference in age from baseline to follow-up, alcohol use, and presence of APOE e4 allele. Results We found that objective sleep characteristics measured by polysomnography, but not subjective sleep characteristics, were associated with cognitive performance approximately 10 years later. Longer sleep latency was associated with worse phonemic fluency (β = -0.069, p = 0.019) and increased likelihood of being classified in the cognitive impairment group later in life (odds ratio 1.037, p = 0.004). Longer duration with oxygen saturation < 90% was associated with better immediate verbal memory, and higher oxygen saturation with worse total learning, short and long-delay recall, and processing speed. Conclusion In a sample of American Indians, sleep characteristics in midlife were correlated with cognitive performance a decade later. Sleep disorders may be modifiable risk factors for cognitive impairment and dementia later in life, and suitable candidates for interventions aimed at preventing neurodegenerative disease development and progression.
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Affiliation(s)
- Luciana Mascarenhas Fonseca
- Elson S. Floyd College of Medicine, Washington State University, Spokane, WA, United States
- Programa Terceira Idade (PROTER, Old Age Research Group), Department and Institute of Psychiatry, University of São Paulo School of Medicine, São Paulo, Brazil
- Institute for Research and Education to Advance Community Health, Elson S. Floyd College of Medicine, Washington State University, Pullman, WA, United States
| | - Myles G. Finlay
- Elson S. Floyd College of Medicine, Washington State University, Spokane, WA, United States
- Sleep and Performance Research Center, Washington State University, Spokane, WA, United States
| | - Naomi S. Chaytor
- Elson S. Floyd College of Medicine, Washington State University, Spokane, WA, United States
| | - Natalie G. Morimoto
- Elson S. Floyd College of Medicine, Washington State University, Spokane, WA, United States
| | - Dedra Buchwald
- Institute for Research and Education to Advance Community Health, Elson S. Floyd College of Medicine, Washington State University, Pullman, WA, United States
| | - Hans P. A. Van Dongen
- Elson S. Floyd College of Medicine, Washington State University, Spokane, WA, United States
- Sleep and Performance Research Center, Washington State University, Spokane, WA, United States
| | - Stuart F. Quan
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, United States
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Arizona College of Medicine, Tucson, AZ, United States
| | - Astrid Suchy-Dicey
- Institute for Research and Education to Advance Community Health, Elson S. Floyd College of Medicine, Washington State University, Pullman, WA, United States
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Snow C, Baldwin B, Hurst M, Colantonio A, Mollayeva T. Utility of Person-Environment-Occupation model in exploring sex-specific causes of work-related traumatic brain injury: a retrospective chart review. Brain Inj 2023; 37:485-493. [PMID: 36919536 DOI: 10.1080/02699052.2023.2187087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/16/2023]
Abstract
BACKGROUND Work-related traumatic brain injury (wr-TBI) is on the rise. The pre-injury period, a significant consideration for preventive initiatives, is largely unexplored. OBJECTIVES To identify Person-Environment-Occupation (PEO) variables associated with wr-TBI to inform sex-specific primary prevention. METHODS Retrospective chart review data were analyses. Two-tailed t-test and chi-squared tests were used to study sex differences. Multivariate logistic regression models of wr-TBI were fit with a priori defined PEO variables. RESULTS The sample comprised 330 consecutive workers with wr-TBI (40.8 ± 11.1 years old, 71% male). Sex differences were observed across PEO variables. In multivariable logistic regression analyses the odds of sustaining a wr-TBI from a fall increased with the presence of a mood disorder and participation in non-labourer occupations (odds ratio (OR) 2.89 (95% CI 1.06-7.89) and OR 2.89 (95% CI 1.06-7.89), respectively) and decreased being a male (OR 0.31 (95% CI 0.17-0.54)). The odds of sustaining a wr-TBI from being striken by an object was greater in workers with prior head injury (OR 2.8 (95% CI 1.24-6.45)). None of the variables studied were associated with wr-TBI sustained from being striken against an object. CONCLUSIONS Workers' health status pre-injury is associated with external causes of wr-TBI. Sex differences across PEO categories warrant further study.
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Affiliation(s)
- Cori Snow
- Department of Occupational Science and Occupational Therapy, University of Toronto, Toronto, Canada.,Acquired Brain Injury Research Lab, University of Toronto, Toronto, Canada
| | - Bristol Baldwin
- Department of Occupational Science and Occupational Therapy, University of Toronto, Toronto, Canada.,Acquired Brain Injury Research Lab, University of Toronto, Toronto, Canada
| | - Mackenzie Hurst
- KITE Toronto Rehabilitation Institute University Health Network, Toronto, Canada
| | - Angela Colantonio
- Department of Occupational Science and Occupational Therapy, University of Toronto, Toronto, Canada.,Acquired Brain Injury Research Lab, University of Toronto, Toronto, Canada.,Rehabilitation Sciences Institute, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada
| | - Tatyana Mollayeva
- Department of Occupational Science and Occupational Therapy, University of Toronto, Toronto, Canada.,Acquired Brain Injury Research Lab, University of Toronto, Toronto, Canada.,KITE Toronto Rehabilitation Institute University Health Network, Toronto, Canada.,Rehabilitation Sciences Institute, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada.,Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
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Palimaru AI, Brown RA, Troxel WM, Dickerson DL, Johnson CL, D'Amico EJ. Understanding sleep facilitators, barriers, and cultural dimensions in Native American urban youth. Sleep Health 2020; 6:478-488. [PMID: 32527661 PMCID: PMC7529658 DOI: 10.1016/j.sleh.2020.03.004] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2019] [Revised: 02/20/2020] [Accepted: 03/09/2020] [Indexed: 02/06/2023]
Abstract
OBJECTIVES American Indian/Alaska Native (AI/AN) youth are a high-risk group for sleep problems and associated chronic conditions. Urban AI/AN youth may face certain challenges, including specific psychosocial stressors (e.g., discrimination) and environmental factors (e.g., noise, light) that render them particularly vulnerable to poor sleep health. However, few studies have explored AI/AN adolescent sleep. To our knowledge, this is the first study to use systematic qualitative methods with AI/AN youth to explore their sleep environment and sleep behaviors. DESIGN In-depth interviews with 26 youth. SETTING Two urban areas in Central and Southern California. PARTICIPANTS Urban-dwelling AI/AN youth, age 12-16 years. INTERVENTION N/A. MEASUREMENT N/A. RESULTS We identified five main themes, each with subthemes: sleep patterns and desired sleep, sleep barriers inside the home, environmental factors, sleep facilitators, and cultural dimensions. Key concerns discussed were poor sleep hygiene, excessive use of electronics prior to bedtime, issues with temperature regulation, and noise both within and outside the home. Parents can be an important vehicle for messaging around sleep health and for behavior management. Participating adolescents also indicated differing levels of attachment to Native identity, suggesting that culturally-targeted sleep interventions should build in openness and flexibility to a range of identity starting points. Further, we identified cultural practices, such as sweat lodges and dreamcatchers, that could be incorporated in future sleep interventions for this population. CONCLUSION Findings increase our understanding of urban AI/AN youth's sleep environments and behaviors, thus potentially informing program development around sleep health for this vulnerable population.
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Affiliation(s)
| | | | | | - Daniel L Dickerson
- UCLA Integrated Substance Abuse Program, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, Los Angeles, CA, USA
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Viana RB, Gentil P, Lorenço VS, Vieira CA, Campos MH, Santos DAT, Silva WF, Andrade MS, Vancini RL, de Lira CAB. Identifying the predisposing factors, signs and symptoms of overreaching and overtraining in physical education professionals. PeerJ 2018; 6:e4994. [PMID: 29915702 PMCID: PMC6004110 DOI: 10.7717/peerj.4994] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2018] [Accepted: 05/28/2018] [Indexed: 11/20/2022] Open
Abstract
Background It is possible that physical education professionals, especially those who participate in aerobic activities, have predisposing factors, signs and symptoms of overreaching (OVR) and overtraining (OVT) due to a high load and volume of exercise followed by suboptimal recovery time. The present study aimed to identify the predisposing factors, signs and symptoms of OVR and OVT in physical education professionals. Methods A questionnaire consisting of 42 questions (10 questions group) about predisposing factors and signs/symptoms was answered by 132 physical education professionals from both sexes (83 men and 49 women) who were allocated into a resistance training group (RG, n = 74), aerobic training group (AG, n = 20) and resistance and aerobic training group (RAG, n = 38). A mean score was calculated ranging from 1 (completely absent) to 5 (severe) for each question group. A low occurrence of predisposing factors and signs and symptoms of OVR and OVT was considered to be a question group score 4 or lower. Profile of Mood State Questionnaire (POMS) was also applied. Results A mean score of 2.5 ± 0.7, 2.7 ± 0.7 and 2.7 ± 0.8 was found for all question groups for RG, AG and RAG, respectively. Of the total sample, 40.6% trained at least five times/week. The POMS revealed that 67.5% of the RG (n = 50), 80% of the AG (n = 16) and 60.5% of the RAG (n = 23) were classified as having no mood disorders and a standard graphic iceberg was presented. There were no statistical differences (p > 0.05) in the total mood disorders among RG (13.9 ± 24.5), AG (10.3 ± 25.1) and RAG (14.6 ± 27.9) groups. Conclusion Despite the volume of training/body working performed by the physical education professionals surveyed being greater than the recommended to achieve improvements on physical fitness, they did not show predisposing factors, signs or symptoms of OVR and OVT.
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Affiliation(s)
- Ricardo B Viana
- Faculdade de Educação Física e Dança, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
| | - Paulo Gentil
- Faculdade de Educação Física e Dança, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
| | - Vinício S Lorenço
- Faculdade de Educação Física e Dança, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
| | - Carlos A Vieira
- Faculdade de Educação Física e Dança, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
| | - Mário H Campos
- Faculdade de Educação Física e Dança, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
| | - Douglas A T Santos
- Faculdade de Educação Física e Dança, Universidade Federal de Goiás, Goiânia, Goiás, Brazil.,Colegiado de Educação Física, Universidade do Estado da Bahia, Teixeira de Freitas, Bahia, Brazil
| | - Wellington F Silva
- Faculdade de Educação Física e Dança, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
| | - Marilia S Andrade
- Departamento de Fisiologia, Universidade Federal de São Paulo, São Paulo, São Paulo, Brazil
| | - Rodrigo L Vancini
- Centro de Educação Física e Desportos, Universidade Federal do Espírito Santo, Vitória, Espírito Santo, Brazil
| | - Claudio A B de Lira
- Faculdade de Educação Física e Dança, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
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