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Palao-Loayza L, Yupanqui-Lorenzo DE, Arauco-Lozada T, Caycho-Rodríguez T, Seminario Ortiz HD, Lobos Rivera ME, Cardoza-Sernaqué MA, Pulido-Joo LA, Pulido-Capurro V, Cárcamo-Zepeda E, Mendoza-Sierra MI, Cuellar-Hernández MDL, Torres López A, Torales J, Barrios I. Cross-cultural validation of the Jenkins Sleep Scale in Spanish-speaking countries. J Health Psychol 2024:13591053241261349. [PMID: 39077835 DOI: 10.1177/13591053241261349] [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: 07/31/2024] Open
Abstract
The study aimed to validate the Jenkins Sleep Scale (JSS-4) in six Spanish-Speaking countries. A total of 1726 people participated and were distributed between men (32.4%) and women (67.6%). Confirmatory factor analysis confirmed the unidimensional structure and high reliability of the JSS-4 overall (α = 0.85, ω = 0.81) and within each country. The invariance analysis revealed that JSS-4 exhibited complete invariance across countries, thus establishing a robust foundation for inter-group comparisons. Interestingly, a comparative analysis revealed significant differences in the average levels of sleep difficulties, with particularly high rates in Spain and Chile. Item Response Theory (IRT) showed sufficient discrimination parameters for all items, and a correlation of 0.998 between Confirmatory Factor Analysis (CFA) and IRT highlighted the robustness and reliability of the results obtained. In summary, JSS-4 exhibits strong evidence of validity and consistency in measurement invariance across the six countries.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | - Julio Torales
- Universidad Nacional de Asunción, Paraguay
- Universidad Nacional de Caaguazú, Paraguay
- Universidad Sudamericana, Paraguay
| | - Iván Barrios
- Universidad Nacional de Asunción, Paraguay
- Universidad Sudamericana, Paraguay
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Li G, Cao Y, Yang C, Li X, Yang Y, Yang L, Hao D, Li CSR. Sex differences in dorsolateral prefrontal cortical and superior colliculus activities support the impact of alcohol use severity and sleep deficiency on two-back memory. Quant Imaging Med Surg 2024; 14:4972-4986. [PMID: 39022273 PMCID: PMC11250293 DOI: 10.21037/qims-24-156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Accepted: 05/20/2024] [Indexed: 07/20/2024]
Abstract
Background Working memory refers to a process of temporary storage and manipulation of information to support planning, decision-making, and action. Frequently comorbid alcohol misuse and sleep deficiency have both been associated with working memory deficits. However, how alcohol misuse and sleep deficiency interact to impact working memory remains unclear. In this study, we aim to investigate the neural processes inter-relating alcohol misuse, sleep deficiency and working memory. Methods We curated the Human Connectome Project (HCP) dataset and investigated the neural correlation of working memory in link with alcohol use severity and sleep deficiency in 991 young adults (521 women). The two were indexed by the first principal component (PC1) of principal component analysis of all drinking metrics and Pittsburgh Sleep Quality Index (PSQI) score, respectively. We processed the imaging data with published routines and evaluated the results with a corrected threshold. We used path model to characterize the inter-relationship between the clinical, behavioral, and neural measures, and explored sex differences in the findings. Results In whole-brain regression, we identified β estimates of dorsolateral prefrontal cortex response (DLPFC β) to 2- vs. 0-back in correlation with PC1. The DLPFC showed higher activation in positive correlation with PC1 across men and women (r=0.16, P<0.001). Path analyses showed the model PC1 → DLPFC β → differences in reaction time (2- minus 0-back; RT2-0) of correct trials → differences in critical success index (2- minus 0-back; CSI2-0) with the best fit. In women alone, in addition to the DLPFC, a cluster in the superior colliculus (SC) showed a significant negative correlation with the PSQI score (r=-0.23, P<0.001), and the path model showed the inter-relationship of PC1, PSQI score, DLPFC and SC β's, and CSI2-0 in women. Conclusions Alcohol misuse may involve higher DLPFC activation in functional compensation, whereas, in women only, sleep deficiency affects 2-back memory by depressing SC activity. In women only, path model suggests inter-related impact of drinking severity and sleep deficiency on 2-back memory. These findings suggest potential sex differences in the impact of drinking and sleep problems on working memory that need to be further investigated.
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Affiliation(s)
- Guangfei Li
- Department of Biomedical Engineering, College of Chemistry and Life Science, Beijing University of Technology, Beijing, China
- Beijing International Science and Technology Cooperation Base for Intelligent Physiological Measurement and Clinical Transformation, Beijing, China
| | - Yingjie Cao
- Department of Biomedical Engineering, College of Chemistry and Life Science, Beijing University of Technology, Beijing, China
| | - Chunlan Yang
- Department of Biomedical Engineering, College of Chemistry and Life Science, Beijing University of Technology, Beijing, China
- Beijing International Science and Technology Cooperation Base for Intelligent Physiological Measurement and Clinical Transformation, Beijing, China
| | - Xuwen Li
- Department of Biomedical Engineering, College of Chemistry and Life Science, Beijing University of Technology, Beijing, China
| | - Yimin Yang
- Department of Biomedical Engineering, College of Chemistry and Life Science, Beijing University of Technology, Beijing, China
| | - Lin Yang
- Department of Biomedical Engineering, College of Chemistry and Life Science, Beijing University of Technology, Beijing, China
- Beijing International Science and Technology Cooperation Base for Intelligent Physiological Measurement and Clinical Transformation, Beijing, China
| | - Dongmei Hao
- Department of Biomedical Engineering, College of Chemistry and Life Science, Beijing University of Technology, Beijing, China
- Beijing International Science and Technology Cooperation Base for Intelligent Physiological Measurement and Clinical Transformation, Beijing, China
| | - Chiang-Shan R. Li
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Department of Neuroscience, Yale University School of Medicine, New Haven, CT, USA
- Interdepartmental Neuroscience Program, Yale University School of Medicine, New Haven, CT, USA
- Wu Tsai Institute, Yale University, New Haven, CT, USA
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He Q, Sun M, Wang Y, Li G, Zhao H, Ma Z, Feng Z, Li T, Han Q, Sun N, Li L, Shen Y. Association between residential greenness and incident delirium: A prospective cohort study in the UK Biobank. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 937:173341. [PMID: 38797415 DOI: 10.1016/j.scitotenv.2024.173341] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 05/12/2024] [Accepted: 05/16/2024] [Indexed: 05/29/2024]
Abstract
BACKGROUND Contemporary environmental health investigations have identified green space as an emerging factor with promising prospects for bolstering human well-being. The incidence of delirium increases significantly with age and is fatal. To date, there is no research elucidating the enduring implications of green spaces on the occurrence of delirium. Therefore, we explored the relationship between residential greenness and the incidence of delirium in a large community sample from the UK Biobank. METHODS Enrollment of participants spanned from 2006 to 2010. Assessment of residential greenness involved the land coverage percentage of green space within a buffer range of 300 m and 1000 m. The relationship between residential greenness and delirium was assessed using the Cox proportional hazards model. Further, we investigated the potential mediating effects of physical activity, particulate matter (PM) with diameters ≤2.5 (PM2.5), and nitrogen oxides (NOx). RESULTS Of 232,678 participants, 3722 participants were diagnosed with delirium during a 13.4-year follow-up period. Compared with participants with green space coverage at a 300 m buffer in the lowest quartile (Q1), those in the highest quartile (Q4) had 15 % (Hazard ratio [HR] = 0.85, 95 % confidence interval [CI]: 0.77, 0.94) lower risk of incident delirium. As for the 1000 m buffer, those in Q4 had a 16 % (HR = 0.84, 95 % CI: 0.76, 0.93) lower risk of incident delirium. The relationship between green space in the 300 m buffer and delirium was mediated partially by physical activity (2.07 %) and PM2.5(49.90 %). Comparable findings were noted for the green space percentage within the 1000 m buffer. CONCLUSIONS Our results revealed that long-term exposure to residential greenness was related to a lower risk of delirium. Air pollution and physical activity exerted a significant mediating influence in shaping this association.
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Affiliation(s)
- Qida He
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 199 Renai Road, Suzhou City, Jiangsu Province, PR China
| | - Mengtong Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 199 Renai Road, Suzhou City, Jiangsu Province, PR China
| | - Yu Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 199 Renai Road, Suzhou City, Jiangsu Province, PR China
| | - Guoxian Li
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 199 Renai Road, Suzhou City, Jiangsu Province, PR China
| | - Hanqing Zhao
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 199 Renai Road, Suzhou City, Jiangsu Province, PR China
| | - Ze Ma
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 199 Renai Road, Suzhou City, Jiangsu Province, PR China
| | - Zhaolong Feng
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 199 Renai Road, Suzhou City, Jiangsu Province, PR China
| | - Tongxing Li
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 199 Renai Road, Suzhou City, Jiangsu Province, PR China
| | - Qiang Han
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 199 Renai Road, Suzhou City, Jiangsu Province, PR China
| | - Na Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 199 Renai Road, Suzhou City, Jiangsu Province, PR China
| | - Linyan Li
- School of Data Science, City University of Hong Kong, 999077, Hong Kong; Department of Infectious Diseases and Public Health, City University of Hong Kong, 999077, Hong Kong.
| | - Yueping Shen
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 199 Renai Road, Suzhou City, Jiangsu Province, PR China.
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You Y, Chen Y, Liu R, Zhang Y, Wang M, Yang Z, Liu J, Ma X. Inverted U-shaped relationship between sleep duration and phenotypic age in US adults: a population-based study. Sci Rep 2024; 14:6247. [PMID: 38486063 PMCID: PMC10940593 DOI: 10.1038/s41598-024-56316-7] [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: 06/12/2023] [Accepted: 03/05/2024] [Indexed: 03/18/2024] Open
Abstract
Sleep is a modifiable behavior that can be targeted in interventions aimed at promoting healthy aging. This study aims to (i) identify the sleep duration trend in US adults; (ii) investigate the relationship between sleep duration and phenotypic age; and (iii) explore the role of exercise in this relationship. Phenotypic age as a novel index was calculated according to biomarkers collected from US adults based on the National Health and Nutrition Examination Survey (NHANES). Sleep information was self-reported by participants and discerned through individual interviews. The principal analytical method employed was weighted multivariable linear regression modeling, which accommodated for the complex multi-stage sampling design. The potential non-linear relationship was explored using a restricted cubic spline (RCS) model. Furthermore, subgroup analyses evaluated the potential effects of sociodemographic and lifestyle factors on the primary study outcomes. A total of 13,569 participants were finally included in, thereby resulting in a weighted population of 78,880,615. An examination of the temporal trends in sleep duration revealed a declining proportion of individuals with insufficient and markedly deficient sleep time since the 2015-2016 cycle. Taken normal sleep group as a reference, participants with extreme short sleep [β (95% CI) 0.582 (0.018, 1.146), p = 0.044] and long sleep [β (95% CI) 0.694 (0.186, 1.203), p = 0.010] were both positively associated with phenotypic age using the fully adjusted model. According to the dose-response relationship between sleep duration and phenotypic age, long sleep duration can benefit from regular exercise activity, whereas short sleep duration with more exercise tended to have higher phenotypic age. There is an inverted U-shaped relationship between short and long sleep durations and phenotypic age. This study represents an important step forward in our understanding of the complex relationship between sleep and healthy aging. By shedding light on this topic and providing practical exercise recommendations for promoting healthy sleep habits, researchers can help individuals live longer, healthier, and more fulfilling lives.
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Affiliation(s)
- Yanwei You
- Division of Sports Science and Physical Education, Tsinghua University, Beijing, 100084, China
- School of Social Sciences, Tsinghua University, Beijing, 100084, China
- IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, 100084, China
| | - Yuquan Chen
- School of Public Health and Preventive Medicine, Faculty of Medicine, Nursing & Health Sciences, Monash University, Melbourne, VIC, 3004, Australia
| | - Ruidong Liu
- Division of Sports Science and Physical Education, Tsinghua University, Beijing, 100084, China
- Sports Coaching College, Beijing Sport University, Beijing, 100091, China
| | - Yangchang Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, 100169, China
| | - Meiqing Wang
- Division of Sports Science and Physical Education, Tsinghua University, Beijing, 100084, China
- School of Social Sciences, Tsinghua University, Beijing, 100084, China
- IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, 100084, China
| | - Zihao Yang
- Division of Sports Science and Physical Education, Tsinghua University, Beijing, 100084, China
- School of Social Sciences, Tsinghua University, Beijing, 100084, China
- IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, 100084, China
| | - Jianxiu Liu
- Division of Sports Science and Physical Education, Tsinghua University, Beijing, 100084, China.
- Vanke School of Public Health, Tsinghua University, Beijing, 100084, China.
- IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, 100084, China.
| | - Xindong Ma
- Division of Sports Science and Physical Education, Tsinghua University, Beijing, 100084, China.
- IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, 100084, China.
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Yavuz E, Gahnstrom CJ, Goodroe S, Coutrot A, Hornberger M, Lazar AS, Spiers HJ. Shorter self-reported sleep duration is associated with worse virtual spatial navigation performance in men. Sci Rep 2024; 14:4093. [PMID: 38374314 PMCID: PMC10876962 DOI: 10.1038/s41598-024-52662-8] [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: 10/11/2023] [Accepted: 01/22/2024] [Indexed: 02/21/2024] Open
Abstract
Sleep has been shown to impact navigation ability. However, it remains unclear how different sleep-related variables may be independently associated with spatial navigation performance, and as to whether gender may play a role in these associations. We used a mobile video game app, Sea Hero Quest (SHQ), to measure wayfinding ability in US-based participants. Wayfinding performance on SHQ has been shown to correlate with real-world wayfinding. Participants were asked to report their sleep duration, quality, daytime sleepiness and nap frequency and duration on a typical night (n = 766, 335 men, 431 women, mean age = 26.5 years, range = 18-59 years). A multiple linear regression was used to identify which self-reported sleep variables were independently associated with wayfinding performance. Shorter self-reported sleep durations were significantly associated with worse wayfinding performance in men only. Other self-reported sleep variables showed non-significant trends of association with wayfinding performance. When removing non-typical sleepers (< 6 or > 9 h of sleep on a typical night), the significant association between sleep duration and spatial navigation performance in men was no longer present. These findings from U.S.-based participants suggest that a longer self-reported sleep duration may be an important contributor to successful navigation ability in men.
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Affiliation(s)
- Emre Yavuz
- Division of Psychology and Language Sciences, Department of Experimental Psychology, Institute of Behavioural Neuroscience, University College London, London, UK.
| | | | - Sarah Goodroe
- Department of Psychology, University of Pennsylvania, Philadelphia, PA, USA
| | | | | | - Alpar S Lazar
- Norwich Medical School, University of East Anglia, Norwich, UK.
| | - Hugo J Spiers
- Division of Psychology and Language Sciences, Department of Experimental Psychology, Institute of Behavioural Neuroscience, University College London, London, UK.
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