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Sambou ML, Zhao X, Hong T, Wang N, Dai J. Associations between sleep-behavioral traits and healthspan: A one-sample Mendelian randomization study based on 388,909 participants of the UK-Biobank. J Affect Disord 2024; 350:854-862. [PMID: 38262521 DOI: 10.1016/j.jad.2024.01.122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 09/15/2023] [Accepted: 01/10/2024] [Indexed: 01/25/2024]
Abstract
BACKGROUND Although the association between sleep behavior and morbidity and mortality risk has been reported before, there is still uncertainty whether the observed associations are causal or confounding. Therefore, we investigated the causal relationships between sleep-behavioral traits and terminated healthspan risk using Mendelian randomization (MR). METHODS We conducted a one-sample MR analysis to evaluate causality between six sleep-behavioral traits (sleep duration, chronotype/morningness, napping, sleeplessness/insomnia, and getting up from bed) and risk of healthspan termination among 388, 909 UK Biobank (UKB) participants. Instrumental variables for sleep behaviors (N = 590) were obtained from recent genome-wide association studies (GWAS). We defined healthspan based on eight predominant health-terminating events associated with longevity (congestive heart failure, myocardial infarction, chronic obstructive pulmonary disease, stroke, dementia, diabetes, cancer, and death). We further constructed a sleep score and a weighted genetic risk score to increase the predictive ability of the sleep-behavioral traits. Cox regression models and Inverse Probability Treatment Weighting (IPTW) were implemented, followed by MR to assess causation. We used inverse-variance-weighted MR to estimate causal effects, and weighted-median and MR-egger for sensitivity analysis to test the pleiotropic effects. RESULTS In IPTW, we observed a decreased risk of terminated healthspan for healthy sleep behaviors such as 'sleep duration 7-8h/d' (Hazard ratio, HR = 0.93; 95 % confidence interval, CI: 0.92-0.96; P < 0.001); 'morningness' (HR = 0.95; 95%CI: 0.93-0.98; P < 0.01); 'napping' (HR = 0.93; 95%CI: 0.91-0.94; P < 0.001); 'easy getting up from bed' (HR = 0.91; 95%CI: 0.88-0.93; P < 0.001); and, 'never/rarely experience sleeplessness/insomnia' (HR = 0.94; 95%CI: 0.92-0.96; P < 0.001). MR results further indicated causal associations between healthy sleep duration (OR = 0.98; 95%CI: 0.97-1.00; P = 0.036) and insomnia (OR = 1.02; 95%CI: 1.01-1.03; P < 0.001) with terminated healthspan. MR-egger did not suggest any potential pleiotropy. CONCLUSION This study supports abnormal sleep duration and insomnia as potential causal risk factors for terminated healthspan. Thus, healthy sleep behavior is valuable for the extension of healthspan, and well-designed and tailored sleep health interventions are warranted.
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Affiliation(s)
- Muhammed Lamin Sambou
- Department of Epidemiology and Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Xiaoyu Zhao
- Department of Epidemiology and Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Tongtong Hong
- Department of Epidemiology and Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Nanxi Wang
- Department of Epidemiology and Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Juncheng Dai
- Department of Epidemiology and Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China; Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing 211166, China.
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Yang M, Wang M, Zhao X, Xu F, Liang S, Wang Y, Wang N, Sambou ML, Jiang Y, Dai J. DNA methylation marker identification and poly-methylation risk score in prediction of healthspan termination. Epigenomics 2024; 16:461-472. [PMID: 38482663 DOI: 10.2217/epi-2023-0343] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/23/2024] Open
Abstract
Aim: To elucidate the epigenetic consequences of DNA methylation in healthspan termination (HST), considering the current limited understanding. Materials & methods: Genetically predicted DNA methylation models were established (n = 2478). These models were applied to genome-wide association study data on HST. Then, a poly-methylation risk score (PMRS) was established in 241,008 individuals from the UK Biobank. Results: Of the 63,046 CpGs from the prediction models, 13 novel CpGs were associated with HST. Furthermore, people with high PMRSs showed higher HST risk (hazard ratio: 1.18; 95% CI: 1.13-1.25). Conclusion: The study indicates that DNA methylation may influence HST by regulating the expression of genes (e.g., PRMT6, CTSK). PMRSs have a promising application in discriminating subpopulations to facilitate early prevention.
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Affiliation(s)
- Meiqi Yang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Mei Wang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Xiaoyu Zhao
- Department of Statistics, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Feifei Xu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Shuang Liang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Yifan Wang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Nanxi Wang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Muhammed Lamin Sambou
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Yue Jiang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention & Treatment, Collaborative Innovation Center for Cancer Personalized Medicine & China International Cooperation Center for Environment & Human Health, Gusu School, Nanjing Medical University, Nanjing, 211166, China
| | - Juncheng Dai
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention & Treatment, Collaborative Innovation Center for Cancer Personalized Medicine & China International Cooperation Center for Environment & Human Health, Gusu School, Nanjing Medical University, Nanjing, 211166, China
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Wang M, Yang M, Liang S, Wang N, Wang Y, Sambou ML, Qin N, Zhu M, Wang C, Jiang Y, Dai J. Association between sleep traits and biological aging risk: a Mendelian randomization study based on 157 227 cases and 179 332 controls. Sleep 2024; 47:zsad299. [PMID: 37982786 DOI: 10.1093/sleep/zsad299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 09/23/2023] [Indexed: 11/21/2023] Open
Abstract
STUDY OBJECTIVES To investigate whether sleep traits are associated with the risk of biological aging using a case-control design with Mendelian randomization (MR) analyses. METHODS We studied 336 559 participants in the UK Biobank cohort, including 157 227 cases of accelerated biological aging and 179 332 controls. PhenoAge, derived from clinical traits, estimated biological ages, and the discrepancies from chronological age were defined as age accelerations (PhenoAgeAccel). Sleep behaviors were assessed with a standardized questionnaire. propensity score matching matched control participants to age-accelerated participants, and a conditional multivariable logistic regression model estimated odds ratio (OR) and 95% confidence intervals (95% CI). Causal relationships between sleep traits and PhenoAgeAccel were explored using linear and nonlinear MR methods. RESULTS A U-shaped association was found between sleep duration and PhenoAgeAccel risk. Short sleepers had a 7% higher risk (OR = 1.07; 95% CI: 1.03 to 1.11), while long sleepers had an 18% higher risk (OR = 1.18; 95% CI: 1.15 to 1.22), compared to normal sleepers (6-8 hours/day). Evening chronotype was linked to higher PhenoAgeAccel risk than morning chronotype (OR = 1.14; 95% CI: 1.10 to 1.18), while no significant associations were found for insomnia or snoring. Morning chronotype had a protective effect on PhenoAgeAccel risk (OR = 0.87, 95% CI: 0.79 to 0.95) per linear MR analysis. Genetically predicted sleep duration showed a U-shaped relationship with PhenoAgeAccel, suggesting a nonlinear association (pnonlinear < 0.001). CONCLUSIONS The study suggests that improving sleep can slow biological aging, highlighting the importance of optimizing sleep as an intervention to mitigate aging's adverse effects.
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Affiliation(s)
- Mei Wang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Meiqi Yang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Shuang Liang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Nanxi Wang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Yifan Wang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Muhammed Lamin Sambou
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Na Qin
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine and China International Cooperation Center for Environment and Human Health, Genomic Science and Precision Medicine Institute, Gusu School, Nanjing Medical University, Nanjing 211166, China
| | - Meng Zhu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine and China International Cooperation Center for Environment and Human Health, Genomic Science and Precision Medicine Institute, Gusu School, Nanjing Medical University, Nanjing 211166, China
| | - Cheng Wang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine and China International Cooperation Center for Environment and Human Health, Genomic Science and Precision Medicine Institute, Gusu School, Nanjing Medical University, Nanjing 211166, China
- Department of Bioinformatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing 211166, China
| | - Yue Jiang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine and China International Cooperation Center for Environment and Human Health, Genomic Science and Precision Medicine Institute, Gusu School, Nanjing Medical University, Nanjing 211166, China
- Nanjing Yike Population Health Research Institute, Nanjing 211166, China
| | - Juncheng Dai
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine and China International Cooperation Center for Environment and Human Health, Genomic Science and Precision Medicine Institute, Gusu School, Nanjing Medical University, Nanjing 211166, China
- Nanjing Yike Population Health Research Institute, Nanjing 211166, China
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Bafei SEC, Chen J, Qian Y, Yuan L, Zhou Y, Sambou ML, Walker AN, Li W, Liu S. The Association between Burnout, Social Support, and Psychological Capital among Primary Care Providers in Togo: A Cross-Sectional Study. Medicina (Kaunas) 2023; 59:medicina59010175. [PMID: 36676799 PMCID: PMC9864046 DOI: 10.3390/medicina59010175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 12/28/2022] [Accepted: 01/10/2023] [Indexed: 01/18/2023]
Abstract
Background and Objectives: Job burnout is prevalent among primary care providers (PCPs) in different countries, and the factors that can alleviate burnout in these countries have been explored. However, no study has addressed the prevalence and the correlates of job burnout among Togolese PCPs. Therefore, we aimed to examine the prevalence of burnout and its association with social support and psychological capital among PCPs in Togo. Material and Methods: We conducted a cross-sectional study in Togo from 5 to 17 November 2020 among 279 PCPs of 28 peripheral care units (PCUs). Participants completed the Maslach Burnout Inventory, Job Content Questionnaire, and Psychological Capital Questionnaire. Data were analyzed using the Mann-Whitney U test, Kruskal-Wallis H test, Pearson correlation analysis, and multiple linear regression. Results: We received 279 responses, out of which 37.28% experienced a high level of emotional exhaustion (EE), 13.62% had a high level of depersonalization (DP), and 19.71% experienced low levels of personal accomplishment (PA). EE had a significant negative correlation with the supervisor's support. In contrast, self-efficacy, hope, optimism, and resilience had a significant negative correlation with DP and a significant positive correlation with PA. Furthermore, supervisors' support significantly predicted lower levels of EE. Optimism significantly predicted lower levels of DP and higher levels of PA. Conclusions: Burnout is common among Togolese PCPs, and self-efficacy, optimism, and supervisors' support significantly contribute to low levels of job burnout among Togolese PCPs. This study provided insight into intervention programs to prevent burnout among PCPs in Togo.
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Affiliation(s)
- Solim Essomandan Clémence Bafei
- Department of Social Medicine and Health Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Jiaping Chen
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Yinan Qian
- Department of Social Medicine and Health Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Lei Yuan
- Department of Social Medicine and Health Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Yimin Zhou
- Department of Social Medicine and Health Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Muhammed Lamin Sambou
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Anita Nyarkoa Walker
- Department of Social Medicine and Health Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Wei Li
- Department of Anesthesiology, Children’s Hospital of Nanjing Medical University, Nanjing 210008, China
- Correspondence: (W.L.); (S.L.)
| | - Sijun Liu
- Department of Social Medicine and Health Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Correspondence: (W.L.); (S.L.)
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Sambou ML, Dai J, Zhao X, Hong T, Basnet TB, Marley G, Sambou A, Fadoua EH, Naveed M. Determinants of Voluntary Counseling and Testing Service Uptake Among Adult Sub-Saharan Africans: A Systematic Review and Meta-Analysis. Public Health Rev 2022; 43:1604065. [PMID: 35992751 PMCID: PMC9381697 DOI: 10.3389/phrs.2022.1604065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Accepted: 06/24/2022] [Indexed: 11/14/2022] Open
Abstract
Objective: To examine the major determinants of VCT service uptake among adults in SSA. Methods: Electronic databases were searched to identify eligible English language publications. Reporting of the study selection procedure was done according to PRISMA and the selected articles were also critically appraised. Results: We found 8 significant determinants of VCT uptake among adults in SSA, such as less physical access [OR (Odds ratio): 0.77 (95% CI (Confidence interval): 0.62–0.96), p < 0.01], older age [OR: 1.36 (95% CI: 1.08–1.73), p < 0.01], higher education level [OR: 1.60 (95% CI: 1.24–2.05), p < 0.01], high knowledge of HIV and VCT awareness [OR: 1.40 (95% CI: 1.03–1.90), p < 0.01], unprotected sexual practices [OR: 1.75 (95% CI: 1.18–2.58), p < 0.01], discussion on HIV among partners and others [OR: 1.76 (95% CI: 1.10–2.81), p < 0.01], other STIs [OR: 1.40 (95% CI: 1.00–1.98), p < 0.01], and divorced/separated [OR: 1.39 (95% CI: 1.12–1.72), p < 0.01]. Conclusion: This study showed that 8 determinants were significantly associated with VCT service uptake in SSA. Thus, HIV interventions and policy initiatives should be tailored to these determinants to ensure scale-up of VCT service uptake in SSA.
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Affiliation(s)
| | - Juncheng Dai
- *Correspondence: Muhammed Lamin Sambou, ; Juncheng Dia,
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Basnet TB, Gc S, Basnet BB, Sambou ML, Indayati W, Thapa G. A non-traditional dietary pattern increases risk of coronary artery disease in the Nepalese population. Nutrition 2021; 93:111503. [PMID: 34763311 DOI: 10.1016/j.nut.2021.111503] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Revised: 09/06/2021] [Accepted: 09/23/2021] [Indexed: 11/19/2022]
Abstract
OBJECTIVES Several dietary patterns are associated with cardiovascular diseases. Traditional, Western, Mediterranean, and vegetarian are common dietary patterns, derived from principal component analysis (PCA) of dietary food intakes associated with cardiovascular diseases; however, these patterns were derived mostly from the diet habits of people in Western and European countries. Therefore, the present study aimed to determine dietary patterns linked with coronary artery disease (CAD) in the Nepalese population. METHODS Food frequency questionnaires were used to estimate dietary intakes in 306 people with CAD and 306 people in a control group matched for age and sex. PCA was performed to deduce the dietary patterns, and conditional logistic regression was executed to determine the association of the dietary patterns with CAD. RESULTS The component of PCA with higher loadings of refined grain, sugar, and meat and lower loadings of milk, whole grain, and fruit was named the non-traditional dietary pattern in the present study. We found a 34% increased risk of CAD (odds ratio, 1.34; 95% confidence interval, 1.14-1.58; P < 0.001) associated with this dietary pattern after adjusting for smoking, physical activity, and cardiometabolic risk factors. Dietary-pattern scores were further categorized into tertiles, and the third tertile was observed with significanly higher odds of CAD than the first tertile (odds ratio, 2.32; 95% confidence interval, 1.3-4.14; P for trend = 0.004). CONCLUSIONS PCA-derived non-traditional dietary patterns can be a risk for developing CAD in Nepalese people. However, further cohort studies or randomized community trials are suggested to confirm our findings.
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Affiliation(s)
- Til Bahadur Basnet
- Little Buddha College of Health Sciences, Purbanchal University, Kathmandu, Nepal; Fujian Medical University, Fuzhou, China.
| | - Srijana Gc
- Maharajgunj Nursing Campus, Tribhuvan University, Kathmandu, Nepal
| | | | | | | | - Goma Thapa
- Maharajgunj Nursing Campus, Tribhuvan University, Kathmandu, Nepal
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Sambou ML, Zhao X, Hong T, Fan J, Basnet TB, Zhu M, Wang C, Hang D, Jiang Y, Dai J. Associations Between Sleep Quality and Health Span: A Prospective Cohort Study Based on 328,850 UK Biobank Participants. Front Genet 2021; 12:663449. [PMID: 34211497 PMCID: PMC8239359 DOI: 10.3389/fgene.2021.663449] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Accepted: 05/10/2021] [Indexed: 01/20/2023] Open
Abstract
OBJECTIVE To examine the associations between sleep quality and health span using a prospective cohort design based on the UK Biobank (UKB). MATERIALS AND METHODS This longitudinal cohort study enrolled 328,850 participants aged between 37 and 73 years from UKB to examine the associations between sleep quality and risk of terminated health span. End of health span was defined by eight events strongly associated with longevity (cancer, death, congestive heart failure, myocardial infarction, chronic obstructive pulmonary disease, stroke, dementia, and diabetes), and a sleep score was generated according to five sleep behavioral factors (sleep duration, chronotype, sleeplessness, daytime sleepiness, and snoring) to characterize sleep quality. The hazard ratio (HR) and 95% confidence intervals (CIs) were calculated by multivariate-adjusted Cox proportional hazards model. Moreover, we calculated population attributable risk percentage (PAR%) to reflect the public health significance of healthy sleep quality. RESULTS Compared with poor sleep quality, participants with healthy sleep quality had a 15% (HR: 0.85, 95% CI: 0.81-0.88) reduced risk of terminated health span, and those of less-healthy sleep quality had a 12% (HR: 0.88, 95% CI: 0.85-0.92) reduced risk. Linear trend results indicated that the risk of terminated health span decreased by 4% for every additional sleep score. Nearly 15% health span termination events in this cohort would have been prevented if a healthy sleep behavior pattern was adhered to (PAR%: 15.30, 95% CI: 12.58-17.93). CONCLUSION Healthy sleep quality was associated with a reduced risk of premature end of health span, suggesting healthy sleep behavior may extend health span. However, further studies are suggested for confirmation of causality and potential mechanism.
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Affiliation(s)
- Muhammed Lamin Sambou
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Xiaoyu Zhao
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Tongtong Hong
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Jingyi Fan
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Til Bahadur Basnet
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Meng Zhu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Cheng Wang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Dong Hang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Yue Jiang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Juncheng Dai
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
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Sambou ML, Zhao X, Hong T, Naveed M, Sambou A, El Hafa F, Basnet TIB, Dai J. Investigation of the relationships between sleep behaviors and risk of healthspan termination: a prospective cohort study based on 323,373 UK-Biobank participants. Sleep Breath 2021; 26:205-213. [PMID: 33959859 DOI: 10.1007/s11325-021-02394-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Revised: 04/19/2021] [Accepted: 04/28/2021] [Indexed: 01/24/2023]
Abstract
OBJECTIVES To examine the associations between four sleep behaviors and the risk of healthspan termination. METHODS This study included 323,373 participants, free of terminated healthspan at baseline, from the UK-Biobank (UKB). We applied multivariable-adjusted Cox regression models to estimate the risk of terminated healthspan based on four sleep behaviors (insomnia/sleeplessness, napping, daytime sleepiness, and difficulty getting up from bed), which were self-reported and measured on Likert scales from "usually" to "never/rarely" experiences. In this study, healthspan was defined based on eight events that are strongly associated with longevity (congestive heart failure, myocardial infarction, chronic obstructive pulmonary disease, stroke, dementia, diabetes, cancer, and death). RESULTS Participants who reported the following unhealthy sleep behaviors had a significantly higher risk of terminated healthspan: "usually experience sleeplessness/insomnia" (HR = 1.05, 95% CI: 1.03-1.07; P < 0.001); "usually nap" (HR = 1.22, 95% CI: 1.18-1.26; P < 0.01); "excessive daytime sleepiness" (HR = 1.25, 95% CI: 1.19-1.32; P < 0.001); and "difficult getting up from bed" (HR = 1.08, 95% CI: 1.05-1.10; P < 0.001). The corresponding population attributable risk percentage (PAR%) indicated that about 7% of healthspan termination in this cohort would have been eliminated if all participants had healthy sleep behaviors. CONCLUSION Participants who reported "usually experience sleeplessness/insomnia," "usually nap," "excessive daytime sleepiness," and "difficult getting up from bed" had increased risk of shortened healthspan. Therefore, adherence to healthy sleep behavior is significant for the extension of healthspan.
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Affiliation(s)
- Muhammed Lamin Sambou
- Department of Epidemiology and Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, 101 Longmian Road, Nanjing, 211166, China.
| | - Xiaoyu Zhao
- Department of Epidemiology and Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, 101 Longmian Road, Nanjing, 211166, China
| | - Tongtong Hong
- Department of Epidemiology and Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, 101 Longmian Road, Nanjing, 211166, China
| | - Muhammad Naveed
- School of Pharmacy, Nanjing Medical University, Nanjing, 211166, China
| | - Alima Sambou
- Department of Epidemiology and Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, 101 Longmian Road, Nanjing, 211166, China
| | - Fadoua El Hafa
- Department of Epidemiology and Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, 101 Longmian Road, Nanjing, 211166, China
| | - TIl B Basnet
- Department of Epidemiology and Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, 101 Longmian Road, Nanjing, 211166, China
| | - Juncheng Dai
- Department of Epidemiology and Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, 101 Longmian Road, Nanjing, 211166, China.
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