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Xie Y, Sun P, Huang H, Wu J, Ba Y, Zhou G, Yu F, Zhang D, Zhang Y, Qie R, Hu Z, Zou K, Zhang Y. Network analysis of smoking-related sleep characteristics in Chinese adults. Ann Med 2024; 56:2332424. [PMID: 38527416 DOI: 10.1080/07853890.2024.2332424] [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: 07/25/2023] [Accepted: 02/29/2024] [Indexed: 03/27/2024] Open
Abstract
The associations between multiple sleep characteristics and smoking behavior are inconsistent, and it is unclear which sleep characteristics are most crucial for tobacco prevention. This study aimed to explore the associations between smoking status/intensity and multiple sleep characteristics and to identify the potential core domain of smoking-related sleep using network analysis. Data were obtained from a survey of cancer-related risk factors among Chinese adults. Logistic regression models were used to quantify the associations between sleep characteristics and smoking status/intensity. Network analyses were employed to identify the core sleep characteristics. A total of 5,228 participants with a median age of 44 years old were included in the study. Current smoking was significantly positively associated with long nap time, difficulty falling asleep, late bedtime, getting up after 7 am, and waking up earlier than expected. There was significant positive association between current smoking and short sleep duration in young adults under 45 years old. Late bedtime and getting up after 7 am were only associated with current heavy smoking, but not current light smoking. Network analyses showed that multiple smoking-related sleep characteristics were interconnected, with difficulty falling asleep and late bedtime as central characteristics in the network. The study found that the associations between sleep characteristics and smoking varied by age and smoking intensity and highlights the potential benefits of sleep health promotion in smoking cessation, with a particular focus on difficulty falling asleep and late bedtime.
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Affiliation(s)
- Yuting Xie
- Department of Cancer Prevention and Control, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Peiyuan Sun
- Department of Cancer Prevention and Control, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Huang Huang
- Department of Cancer Prevention and Control, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jianjun Wu
- School of Public Health, Gansu University of Chinese Medicine, Lanzhou, Gansu, China
| | - Yue Ba
- Department of Environmental Health & Environment and Health Innovation Team, School of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Guoyu Zhou
- Department of Environmental Health & Environment and Health Innovation Team, School of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Fangfang Yu
- Department of Environmental Health & Environment and Health Innovation Team, School of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Daming Zhang
- Department of Neurosurgery, First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Yaqun Zhang
- Department of Ecology and Environment of Gansu Province, Lanzhou, Gansu, China
| | - Ranran Qie
- Department of Cancer Prevention and Control, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhuolun Hu
- Department of Cancer Prevention and Control, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Kaiyong Zou
- Office for Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yawei Zhang
- Department of Cancer Prevention and Control, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Friling M, García-Muñoz AM, Lavie A, Pérez-Piñero S, Victoria-Montesinos D, López-Román FJ, García-Guillén AI, Muñoz-Carrillo JC, Cánovas F, Ivanir E, Jalanka J. Dietary supplementation with a wild green oat extract ( Avena sativa L.) to improve wellness and wellbeing during smoking reduction or cessation: a randomized double-blind controlled study. Front Nutr 2024; 11:1405156. [PMID: 38962436 PMCID: PMC11220258 DOI: 10.3389/fnut.2024.1405156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Accepted: 06/10/2024] [Indexed: 07/05/2024] Open
Abstract
Objective Smoking reduction or cessation are critical public health goals, given the well-documented risks of tobacco use to health. Reducing smoking frequency and cessation entirely are challenging due to nicotine addiction and withdrawal symptoms, which can significantly affect mental wellness and overall wellbeing. Previous research has suggested that certain dietary supplements may support smoking cessation and reduction efforts by mitigating these adverse effects. The objective of this study was to assess the effect of supplementation with 900 mg/day of Neuravena®, a green oat extract (GOE) of Avena sativa L., in enhancing wellness and wellbeing during a smoking reduction or cessation experience. Methods This was an 8-week randomized, double-blind, placebo-controlled study, ClinicalTrials Identifier: NCT04749017 (https://classic.clinicaltrials.gov/ct2/show/NCT04749017). Participants were assigned to one of the study groups, 72 participants were assigned to GOE and 73 to placebo. The subjects were followed for 8-weeks intervention period as well as an additional 4-week follow-up period. At subsequent visits, they underwent clinical assessments including assessments of quality of life, perceived stress, depression, nicotine dependence, anxiety, cognitive performance, and specific assessments of craving intensity. Results GOE was associated with greater improvements in elements of the abbreviated World Health Organization Quality of Life (WHOQOL-BREF) questionnaire as compared with placebo. Similar results were obtained from the SF-36 questionnaire and a visual QoL analogue scale (VAS). Perceived stress levels showed greater decline from baseline among the GOE supplemented participants as compared to placebo. Sleep quality parameters improved with GOE supplementation and worsened in the placebo group. At the end of the intervention period, the percentage of successful reducers (defined as >20% reduction in daily cigarettes) was higher in the GOE group as compared to placebo (66.7% vs. 49.3%, p = 0.034). The improvements from baseline in QoL measures in the GOE group persisted at 4 weeks after termination of the intervention. Conclusion GOE supplementation demonstrated greater improvements in quality of life measures, stress and sleep related parameters during a smoking reduction or cessation experience and the product was shown to be safe and well tolerated.
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Affiliation(s)
| | - Ana María García-Muñoz
- Faculty of Pharmacy and Nutrition, UCAM Universidad Católica San Antonio de Murcia, Murcia, Spain
| | | | - Silvia Pérez-Piñero
- Faculty of Medicine, UCAM Universidad Católica San Antonio de Murcia, Murcia, Spain
| | | | - Francisco Javier López-Román
- Faculty of Medicine, UCAM Universidad Católica San Antonio de Murcia, Murcia, Spain
- Primary Care Research Group, Biomedical Research Institute of Murcia (IMIB-Arrixaca), Murcia, Spain
| | | | | | - Fernando Cánovas
- Faculty of Medicine, UCAM Universidad Católica San Antonio de Murcia, Murcia, Spain
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Sun H, Li S. Exploring the relationship between smoking and poor sleep quality: a cross-sectional study using NHANES. Front Psychiatry 2024; 15:1407741. [PMID: 38947187 PMCID: PMC11212010 DOI: 10.3389/fpsyt.2024.1407741] [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: 03/28/2024] [Accepted: 05/09/2024] [Indexed: 07/02/2024] Open
Abstract
Introduction Sleeping disorders is a high prevalent disorder, and although previous research has suggested a link between smoking and sleep disorders, there is a lack of large-scale, nationally representative studies examining this association across multiple sleep outcomes and exploring dose-response relationships. Methods This study used data from 30,269 participants from the NHANES database (2007-2020). Weighted logistic regression models were used to assess the associations between smoking status (non-smoker, light smoker, moderate smoker, and heavy smoker) and various sleep outcomes, including insufficient sleep duration, reported sleep problems, snoring, snorting, or stopping breathing during sleep, and daytime sleepiness. Dose-response relationships were explored using restricted cubic splines. Results Compared to non-smokers, heavy smokers had significantly higher odds of experiencing insufficient sleep duration with OR 1.732 (95% CI 1.528-1.963, P <0.001), reported sleep problems with OR 1.990 (95% CI 1.766-2.243, P <0.001), occasional or frequent snoring with OR 1.908 (95% CI 1.164-3.128, P = 0.03), and occasional or frequent snorting or stopping breathing during sleep with OR 1.863 (95% CI 1.183-2.936, P = 0.022), while results for sometimes, often or almost always being overly sleepy during the day with OR 1.257 (95% CI 0.872-1.810, P = 0.115) are not significant. A trend of positive correlation was observed between smoking and all sleep disorder outcomes (P for trend < 0.05). Dose-response analyses revealed that the odds of these sleep outcomes increased with higher smoking levels. Conclusion Smoking is significantly associated with various sleep disorders, and a dose-response relationship exists between smoking levels and the odds of experiencing these sleep problems. These findings underscore the importance of addressing smoking as a modifiable risk factor for poor sleep health and suggest that reducing smoking, even if complete cessation is not achieved, may have positive effects on sleep outcomes.
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Affiliation(s)
- Haoxiong Sun
- Independent Researcher, Melbourne, VIC, Australia
| | - Sijia Li
- Drug Discovery Biology, Monash Institute of Pharmaceutical Sciences, Melbourne, VIC, Australia
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Zhao H, Fang L, Chen Y, Ni J, Chen X, Pan F. Independent and combined associations of polycyclic aromatic hydrocarbons exposure and sleep disorders among adults in the U.S. adult population. J Affect Disord 2024; 350:319-327. [PMID: 38220115 DOI: 10.1016/j.jad.2024.01.111] [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: 06/12/2023] [Revised: 12/28/2023] [Accepted: 01/09/2024] [Indexed: 01/16/2024]
Abstract
BACKGROUND Polycyclic aromatic hydrocarbons (PAHs) are prevalent organic pollutants in the environment; however, limited research has been conducted to explore their potential effects on sleep disorders. This study aims to investigate the relationship between single and mixed PAHs exposures and sleep disorders. METHODS This study analyzed National Health and Nutrition Examination Survey (NHANES) data from 2005 to 2016, involving 7730 adult participants. To examine the relationship between PAHs exposure and sleep disorders, we employed survey-weighted multivariate logistic regression models and restricted cubic spline (RCS) models to evaluate single PAHs exposure. Additionally, we employed three mixed-exposure models to examine the relationship between combined PAHs exposure and sleep disorders. RESULTS After adjusting for covariates, our analyses revealed positive associations between several urinary PAHs metabolites (1-hydroxynaphthalene (1-NAP), 2-NAP, 3-hydroxyfluorene (3-FLU), 2-FLU, and 1-hydroxypyrene (1-PYR)) and sleep disturbance. Consistency across various analytical methods underscores a discernible positive correlation between simultaneous exposure to PAHs and sleep disorders. This association is predominantly influenced by the presence of NAP and FLU. Remarkably, a positive relationship between combined PAHs exposure and sleep disorders emerged within the younger and middle-aged demographic but did not manifest within the elderly population. CONCLUSION In conclusion, our study provides new epidemiological evidence suggesting that both single and mixed PAHs exposures may increase the risk of sleep disorders. Further prospective investigations are necessary to validate these findings.
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Affiliation(s)
- Hui Zhao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; The Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China
| | - Lanlan Fang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; The Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China
| | - Yuting Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; The Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China
| | - Jianping Ni
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; The Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China
| | - Xuyang Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; The Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China
| | - Faming Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; The Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China.
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Liu K, Zang C, Wang J, Liu J, Chen Z, He M, Liu B, Su X, Zhang Y, Yi M. Effects of common lifestyle factors on obstructive sleep apnea: precautions in daily life based on causal inferences. Front Public Health 2024; 12:1264082. [PMID: 38504681 PMCID: PMC10948455 DOI: 10.3389/fpubh.2024.1264082] [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: 10/16/2023] [Accepted: 02/07/2024] [Indexed: 03/21/2024] Open
Abstract
Background This study aimed to evaluate the causal impact of common modifiable lifestyles on obstructive sleep apnea (OSA), which is beneficial for recommendations to prevent and manage OSA. Method Published genome-wide association study (GWAS) summary statistics were used to perform two-sample Mendelian randomization (MR). Variants associated with each exposure of smoking, drinking, and leisure sedentary behaviors at the genetic level were used as instrumental variables (IVs). Then, inverse-variance weighting (IVW) was considered the primary result for causality. Moreover, several complimented approaches were also included to verify the observed associations. MR-PRESSO and MR-Egger intercept were applied to test the horizontal pleiotropy. To assess heterogeneity, Cochran's Q test by IVW and MR-Egger were applied. Results Regular smoking history increased OSA risk in all applied approaches [OR (95% CI)IVW = 1.28 (1.12, 1.45), p = 1.853 × 10-4], while the causality of lifetime smoking index [OR (95% CI)IVW = 1.39 (1.00, 1.91), p = 0.048], alcohol intake frequency [outliers removed OR (95% CI)IVW = 1.26 (1.08, 1.45), p = 0.002], and coffee intake behavior [OR (95% CI)IVW = 1.66 (1.03, 2.68), p = 0.039] on OSA risk were not always consistent in other approaches. In addition, no robust causal associations were observed for the effect of sedentary leisure behaviors on OSA risk. In sensitivity analysis, we observed no sign of horizontal pleiotropy or heterogeneity. Conclusion Ever regularly smoking has a robust causal role in increasing OSA risk, which should be discouraged as precautions from developing OSA.
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Affiliation(s)
- Kun Liu
- Department of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, China
- School of Life Sciences, Central South University, Changsha, China
- Department of Medical Imaging Laboratory and Rehabilitation, Xiangnan University, Chenzhou, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Chenyang Zang
- Department of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, China
- Xiangya Medical School, Central South University, Changsha, China
| | - Jixu Wang
- Department of Medical Imaging Laboratory and Rehabilitation, Xiangnan University, Chenzhou, China
| | - Jie Liu
- Department of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, China
- Xiangya Medical School, Central South University, Changsha, China
| | - Ziliang Chen
- School of Life Sciences, Central South University, Changsha, China
| | - Meng He
- Department of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Bin Liu
- Department of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Xiaoli Su
- Department of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Yuan Zhang
- Department of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Minhan Yi
- Department of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, China
- School of Life Sciences, Central South University, Changsha, China
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Wang S, Nandy RR, Rossheim ME. Associations between e-cigarette use and sleep health among adults in the United States, NHANES 2015-2018. Sleep Med 2024; 114:220-228. [PMID: 38232605 DOI: 10.1016/j.sleep.2024.01.005] [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: 05/11/2023] [Revised: 08/01/2023] [Accepted: 01/05/2024] [Indexed: 01/19/2024]
Abstract
OBJECTIVE To examine the associations between e-cigarette use or dual (e-cigarette and combustible cigarette) use and short sleep duration and trouble sleeping among U.S. adults. METHODS We used 2015-2018 data from the National Health and Nutrition Examination Survey (NHANES) (n = 11,659). E-cigarette use and dual use were categorized as current, former, and never use. Short sleep duration was defined as sleep duration ≤6 h. Trouble sleeping was self-reported. Weighted logistic regression analyses were performed. RESULTS Among those with current e-cigarette use, 53.9 % were with current dual use and 23.8 % were with former dual use. Compared to never e-cigarette use, current e-cigarette use was associated with significantly higher odds of trouble sleeping (OR = 2.16, 95 % CI: 1.49-3.13), adjusting for potential confounders. Significant associations were also observed for former e-cigarette use versus never use with trouble sleeping (OR = 1.54, 95 % CI: 1.15-2.07) after full adjustment. Current cigarette use was associated with both short sleep duration (OR = 1.65, 95 % CI: 1.28-2.14) and trouble sleeping (OR = 1.36, 95 % CI: 1.03-1.79) after full adjustment. Additionally, the fully adjusted ORs for short sleep duration and trouble sleeping were 1.64 (95 % CI: 1.06-2.54) and 2.14 (95 % CI: 1.34-3.42) among those with current dual use, and 1.46 (95 % CI: 1.17-1.81) and 2.11 (95 % CI: 1.66-2.67) among those with former dual use, compared to those without dual use. CONCLUSIONS Current cigarette use or dual use is associated with significantly higher odds of short sleep duration and trouble sleeping. Moreover, former e-cigarette use or dual use is associated with increased odds of trouble sleeping.
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Affiliation(s)
- Shanshan Wang
- Department of Population & Community Health, School of Public Health, University of North Texas Health Science Center, Fort Worth, TX, USA.
| | - Rajesh R Nandy
- Department of Population & Community Health, School of Public Health, University of North Texas Health Science Center, Fort Worth, TX, USA
| | - Matthew E Rossheim
- Department of Health Administration & Health Policy, School of Public Health, University of North Texas Health Science Center, Fort Worth, TX, USA
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Yan X, Li Y, Li S, Liang C, Wang L, Kong J, Zhao Y, Chen Q, Xu H. Validation of the Chinese version of the Sleep Regularity Questionnaire (SRQ) and analysis of influencing factors. Sleep Med 2024; 114:73-81. [PMID: 38157623 DOI: 10.1016/j.sleep.2023.12.008] [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: 11/05/2023] [Revised: 12/03/2023] [Accepted: 12/14/2023] [Indexed: 01/03/2024]
Abstract
BACKGROUND Currently, there is no instrument to measure sleep regularity in China. In this study, the Sleep Regularity Questionnaire(SRQ) was translated into Chinese, tested for reliability and validity, and analyzed for factors affecting sleep regularity. METHODS The English version of the SRQ was translated into Chinese, and a total of 3642 individuals were included in this research. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to examine the underlying factor structure of the Chinese version of the SRQ and to measure its reliability and validity. In addition, the correlations between sleep regularity and general information, personal habits, self-control, stress, anxiety, and depression were explored. RESULTS The Cronbach's α of the Chinese SRQ was 0.858, supporting the two-factor structure. Sleep regularity was statistically different between gender and ethnicity (p < 0.05), and personal habits (exercise, continued eating after dinner, smoking and drinking) had an effect on sleep regularity. Sleep regularity was positively associated with individual self-control and negatively associated with stress, anxiety, and depression. CONCLUSIONS The Chinese version of the SRQ has excellent reliability and validity. There are two dimensions, namely circadian regularity and sleep continuity regularity, which can be used to assess the sleep regularity of Chinese adults. The results of this study showed that males and Han Chinese having better sleep regularity. And people with good lifestyle habits and greater self-control sleep more regularly, while stress, anxiety and depression can affect individuals' sleep regularity.
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Affiliation(s)
- Xiangru Yan
- Department of Nursing, Jinzhou Medical University, 121001, Jinzhou, China; Jining No.1 People's Hospital, 272000, Jining, China.
| | - Yanhui Li
- Department of Stomatology, Shandong Medical College, 276000, Linyi, China.
| | - Sisi Li
- Department of Nursing, Panjin Vocational and Technical College, 124000, Panjin, China.
| | - Chunguang Liang
- Department of Nursing, Jinzhou Medical University, 121001, Jinzhou, China.
| | - Liying Wang
- Department of Nursing, Jinzhou Medical University, 121001, Jinzhou, China.
| | - Jie Kong
- Department of Nursing, Jinzhou Medical University, 121001, Jinzhou, China.
| | - Ying Zhao
- Department of Nursing, Jinzhou Medical University, 121001, Jinzhou, China.
| | - Qing Chen
- Department of Nursing, Jinzhou Medical University, 121001, Jinzhou, China.
| | - Huameng Xu
- Department of Nursing, Jinzhou Medical University, 121001, Jinzhou, China.
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A Schulz J, Regnier SD, Erath TG, Mullis LC, Nugent A, Atwood GS, Villanti AC. Smoking cessation interventions for U.S. adults with disabilities: A systematic review. Addict Behav 2024; 149:107905. [PMID: 37977010 PMCID: PMC10842129 DOI: 10.1016/j.addbeh.2023.107905] [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: 08/08/2023] [Revised: 10/13/2023] [Accepted: 11/03/2023] [Indexed: 11/19/2023]
Abstract
INTRODUCTION People with disabilities disproportionately use tobacco products. However, little is known about cessation interventions tailored for people with disabilities. The objective of this study was to conduct a systematic review of smoking cessation interventions for adults with disabilities. METHODS Six electronic databases (Cochrane, CINAHL Plus [EBSCOhost], Embase [Ovid], Medline [Ovid], PsycINFO [Ovid], and Web of Science) were searched to identify eligible interventions for people with disabilities (e.g., vision, hearing, mobility, communication, cognition, self-care) through July 2023. Two independent coders evaluated the records and extracted data from studies that met inclusion criteria. Qualitative synthesis was conducted on the included studies in 2023. RESULTS One randomized controlled trial and one nonrandomized study met the inclusion criteria. Both studies used mindfulness-based procedures to reduce cigarette use in adults with mild intellectual disability. The outcome was defined as self-reported cigarette use at follow-up, which ranged from 1 year to 3 years. Limited information was provided on how the interventions were tailored to meet the unique needs of people with disabilities in either study. CONCLUSION Two interventions conducted in adults with mild intellectual disability showed promising results using mindfulness-based procedures; however, the studies did not address barriers reported by people with disabilities, nor tailor the interventions to meet the needs of the target population. Research is needed to address tobacco use disparities among people with a range of disabilities. Current cessation interventions would be enhanced by integrating disability identifiers alongside other demographic information in future studies and reporting subgroup analyses in adults with disabilities.
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Affiliation(s)
- Jonathan A Schulz
- Vermont Center on Behavior and Health, Department of Psychiatry, University of Vermont, Burlington, VT, USA.
| | - Sean D Regnier
- Department of Behavioral Science, University of Kentucky, College of Medicine, USA
| | - Tyler G Erath
- Vermont Center on Behavior and Health, Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | | | - Austin Nugent
- Human Development Institute, University of Kentucky, USA
| | - Gary S Atwood
- Dana Health Sciences Library, University of Vermont, Burlington, VT, USA
| | - Andrea C Villanti
- Rutgers Institute for Nicotine & Tobacco Studies, New Brunswick, NJ, USA; Department of Health Behavior, Society, and Policy, Rutgers School of Public Health, Piscataway, NJ, USA
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Lee HY, Lee SH, Kim GL. A comparative study of changes in smoking cessation attempt rates and related factors before and during COVID-19. Prev Med Rep 2024; 37:102532. [PMID: 38162119 PMCID: PMC10755482 DOI: 10.1016/j.pmedr.2023.102532] [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: 07/19/2023] [Revised: 11/30/2023] [Accepted: 11/30/2023] [Indexed: 01/03/2024] Open
Abstract
This study aimed to identify whether smoking cessation attempts (SCA) for health promotion changed during the coronavirus disease 2019 (COVID-19) pandemic and how the characteristics of people who undertook SCA before versus during COVID-19 differed. This was a secondary data analysis of the South Korean 2019-2021 Community Health Survey data for 163,334 smokers that compared sociodemographic factors, health behaviors, and health status by SCA and year using χ2 statistics and multiple logistic regression analysis. The SCA rate significantly decreased from 72.6 % in 2019 to 44.1 % in 2021. In 2019, the rate was high for those over 60 years old but decreased by half by 2021. The ORs for SCA were higher in women than men in all years and were lower in 2019 for all age groups except those in their 70 s; however, in 2021, the ORs for those in their 20 s were higher than those in their 70 s and were slightly higher for non-high-risk drinkers than for high-risk drinkers. ORs were higher among those trying to lose or gain weight than among those who were not. Despite its health benefits, the SCA rate significantly decreased. Issuing public statements encouraging SCA is critical. Measures are necessary to increase the rate of SCA among people in their 70 s and support those seeking to control their weight for successful smoking cessation. In addition, a strategy to maintain the SCA rate in people in their 20 s is required to ensure their future health.
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Affiliation(s)
- Hyo Young Lee
- Department of Health Administration, Dongseo University, 47 Jurye-ro, Sasang-gu, Busan 47011, South Korea
- Busan Tobacco Control Center, Pusan National University Hospital, 179 Gudeok-ro, Seo-gu, Busan 49241, South Korea
| | - Seung Hun Lee
- Department of Family Medicine, Pusan National University Hospital, 179, Gudeok-ro, Seo-gu, Busan 49241, South Korea
- Busan Tobacco Control Center, Pusan National University Hospital, 179 Gudeok-ro, Seo-gu, Busan 49241, South Korea
- Department of Family Medicine, Pusan National University, School of Medicine, Beomeo-ri Mulgeum-eup, Yangsan, Gyeongsangnam-do 50612, South Korea
| | - Gyu Lee Kim
- Department of Family Medicine, Pusan National University Hospital, 179, Gudeok-ro, Seo-gu, Busan 49241, South Korea
- Busan Tobacco Control Center, Pusan National University Hospital, 179 Gudeok-ro, Seo-gu, Busan 49241, South Korea
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Chen Y, Li H, Kong T, Shan L, Hao L, Wang F. The low ratio of ghrelin in plasma and cerebrospinal fluid might be beneficial to sleep. Pharmacol Biochem Behav 2023; 233:173672. [PMID: 37944671 DOI: 10.1016/j.pbb.2023.173672] [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: 09/06/2023] [Revised: 10/30/2023] [Accepted: 11/01/2023] [Indexed: 11/12/2023]
Abstract
OBJECTIVE Ghrelin is physiologically important for maintaining sleep rhythm. Cigarette smoking has been demonstrated to significantly increase the risk of insufficient sleep by regulating ghrelin at the central and peripheral levels. No research has been published to study the relationship between active smoking and sleep via ghrelin level in cerebrospinal fluid (CSF). METHODS A total of 139 Chinese males were recruited and divided into active smokers (n = 77) and non-smokers (n = 62). The levels of CSF and plasma ghrelin were measured. The Pittsburgh Sleep Quality Index (PSQI) was used to evaluate sleep. RESULTS Non-smokers had lower PSQI scores (1.71 ± 1.93) than active smokers (3.70 ± 1.78). Non-smokers have significantly lower plasma ghrelin levels and lower plasma/CSF ghrelin ratio but higher CSF ghrelin than active smokers. Among non-smokers, plasma ghrelin levels were not correlated with PSQI scores (all p > 0.05), CSF ghrelin levels were positively correlated with PSQI scores (r = 0.309, p = 0.019), and the plasma/CSF ghrelin ratio was negatively correlated with PSQI scores (r = -0.346, p = 0.008). CONCLUSIONS This study is the first to reveal the relationship between cigarette smoking, high CSF ghrelin levels and insufficient sleep, suggesting that maintaining a normal plasma/CSF ghrelin ratio may be the physiological mechanism of healthy sleep, and the insufficient sleep population must quit smoking.
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Affiliation(s)
- Yuanyuan Chen
- Medical Neurobiology Lab, Inner Mongolia Medical University, Huhhot 010110, China
| | - Hui Li
- Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing 100871, China
| | - Tiantian Kong
- Xinjiang Key Laboratory of Neurological Disorder Research, the Second Affiliated Hospital of Xinjiang Medical University, Urumqi 830063, China
| | - Ligang Shan
- Department of Anesthesiology, the Second Affiliated Hospital of Xiamen Medical College, Xiamen 361021, China
| | - Lei Hao
- Medical Neurobiology Lab, Inner Mongolia Medical University, Huhhot 010110, China.
| | - Fan Wang
- Beijing Hui-Long-Guan Hospital, Peking University, Beijing 100096, China.
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Truong VTT, Green C, Pedroza C, Hwang LY, Rajan SS, Suchting R, Cinciripini P, Tyndale RF, Lerman C. Bayesian regularization to predict neuropsychiatric adverse events in smoking cessation with pharmacotherapy. BMC Med Res Methodol 2023; 23:107. [PMID: 37118656 PMCID: PMC10148544 DOI: 10.1186/s12874-023-01931-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2022] [Accepted: 04/25/2023] [Indexed: 04/30/2023] Open
Abstract
BACKGROUND Research on risk factors for neuropsychiatric adverse events (NAEs) in smoking cessation with pharmacotherapy is scarce. We aimed to identify predictors and develop a prediction model for risk of NAEs in smoking cessation with medications using Bayesian regularization. METHODS Bayesian regularization was implemented by applying two shrinkage priors, Horseshoe and Laplace, to generalized linear mixed models on data from 1203 patients treated with nicotine patch, varenicline or placebo. Two predictor models were considered to separate summary scores and item scores in the psychosocial instruments. The summary score model had 19 predictors or 26 dummy variables and the item score model 51 predictors or 58 dummy variables. A total of 18 models were investigated. RESULTS An item score model with Horseshoe prior and 7 degrees of freedom was selected as the final model upon model comparison and assessment. At baseline, smokers reporting more abnormal dreams or nightmares had 16% greater odds of experiencing NAEs during treatment (regularized odds ratio (rOR) = 1.16, 95% credible interval (CrI) = 0.95 - 1.56, posterior probability P(rOR > 1) = 0.90) while those with more severe sleep problems had 9% greater odds (rOR = 1.09, 95% CrI = 0.95 - 1.37, P(rOR > 1) = 0.85). The prouder a person felt one week before baseline resulted in 13% smaller odds of having NAEs (rOR = 0.87, 95% CrI = 0.71 - 1.02, P(rOR < 1) = 0.94). Odds of NAEs were comparable across treatment groups. The final model did not perform well in the test set. CONCLUSIONS Worse sleep-related symptoms reported at baseline resulted in 85%-90% probability of being more likely to experience NAEs during smoking cessation with pharmacotherapy. Treatment for sleep disturbance should be incorporated in smoking cessation program for smokers with sleep disturbance at baseline. Bayesian regularization with Horseshoe prior permits including more predictors in a regression model when there is a low number of events per variable.
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Affiliation(s)
- Van Thi Thanh Truong
- Department of Cardiothoracic and Vascular Surgery, McGovern Medical School, The University of Texas Health Science Center at Houston, 6400 Fannin Street, Suite 2850, Houston, TX, 77030, USA.
| | - Charles Green
- Center for Clinical Research and Evidence-Based Medicine, Department of Pediatrics, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Claudia Pedroza
- Center for Clinical Research and Evidence-Based Medicine, Department of Pediatrics, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Lu-Yu Hwang
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Suja S Rajan
- Department of Management, Policy and Community Health, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Robert Suchting
- Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Paul Cinciripini
- Department of Behavioral Science, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Rachel F Tyndale
- Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Pharmacology and Toxicology, University of Toronto, Toronto, ON, Canada
| | - Caryn Lerman
- Keck School of Medicine, USC Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
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Glastad SH, Aminoff SR, Hagen R, Høegh MC, Büchmann CB, Barrett EA, Melle I, Etain B, Lagerberg TV. Nicotine use and non-pathological alcohol use and their relationship to affective symptoms and sleep disturbances in bipolar disorder. J Affect Disord 2023; 327:236-243. [PMID: 36746243 DOI: 10.1016/j.jad.2023.02.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 01/30/2023] [Accepted: 02/01/2023] [Indexed: 02/08/2023]
Abstract
BACKGROUND The use of alcohol and nicotine can negatively impact the course of bipolar disorder (BD), but there is limited knowledge about how symptoms and sleep disturbances are related to concurrent nicotine use and non-pathological use of alcohol. METHODS We investigated how nicotine use and non-pathological use of alcohol relates to affective symptoms and sleep disturbances in 453 participants with BD without substance use disorders. Manic symptoms were assessed with the Young Mania Rating Scale, and depressive symptoms with The Inventory of Depressive Symptomatology, Clinician-Rated (IDS-C). Sleep-related questions from IDS-C were used to create proxy variables for sleep disturbances, including Insomnia and Hypersomnia. Multinomial regression analysis was conducted to investigate the associations between nicotine use and sleep disturbances, controlling for possible confounders such as current use of illicit drugs and psychopharmacological treatment. RESULTS Depressive and manic symptoms were not associated with the concurrent level of alcohol or nicotine use. Individuals with medium and high levels of daily nicotine use had higher risk of insomnia than those without. Non-pathological alcohol use was not associated with sleep disturbances. LIMITATIONS Sleep disturbances were based on items from the IDS-C questionnaire. CONCLUSION We found an elevated risk for insomnia in individuals with BD and medium or high levels of daily nicotine use. We found no association between the level of affective symptoms and the level of use of alcohol or nicotine. The direction of the relationship between nicotine use and insomnia needs clarification, as it is highly relevant for treatment planning.
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Affiliation(s)
- Stine Holmstul Glastad
- NORMENT, Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway.
| | - Sofie Ragnhild Aminoff
- NORMENT, Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway; Early Intervention in Psychosis Advisory Unit for South East Norway, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Roger Hagen
- Department of Psychology, University of Oslo, Oslo, Norway; Department of Psychology, Norwegian University of Science and Technology, Trondheim, Norway; Research institute, Modum Bad, Vikersund, Norway
| | - Margrethe Collier Høegh
- NORMENT, Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway
| | - Camilla Bakkalia Büchmann
- NORMENT, Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway
| | - Elizabeth Ann Barrett
- NORMENT, Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway; Early Intervention in Psychosis Advisory Unit for South East Norway, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Ingrid Melle
- NORMENT, Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway
| | - Bruno Etain
- INSERM U1144, Optimisation Thérapeutique en Neuropsychopharmacologie, Paris, France; Département de Psychiatrie et de Médecine Addictologique, Hôpital Fernand Widal, Assistance Publique des Hôpitaux de Paris (APHP), Paris, France; Université Paris Cité, Paris, France; Fondation FondaMental, Créteil, France
| | - Trine Vik Lagerberg
- NORMENT, Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway
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Pan Z, Wang Q, Guo Y, Xu S, Pan S, Xu S, Zhou Q, Li L. Association of dual electronic cigarettes and marijuana use with sleep duration among adults from the United States, NHANES 2015–2018. Prev Med Rep 2023; 33:102190. [DOI: 10.1016/j.pmedr.2023.102190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 03/21/2023] [Accepted: 03/24/2023] [Indexed: 03/29/2023] Open
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Shriane AE, Russell AMT, Ferguson SA, Rigney G, Vincent GE. Sleep hygiene in paramedics: What do they know, and what do they do? Sleep Health 2023; 9:240-248. [PMID: 36681619 DOI: 10.1016/j.sleh.2022.10.008] [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: 10/05/2022] [Accepted: 10/19/2022] [Indexed: 01/21/2023]
Abstract
OBJECTIVES Shift workers routinely obtain inadequate sleep, which has major health and well-being consequences. Sleep hygiene describes a range of behaviors, lifestyle and environmental factors that can support optimal sleep. To date, limited research has examined sleep hygiene in shift workers. This study aimed to 1) assess the knowledge and understanding of sleep hygiene amongst shift working paramedics, as well as the perceived impact on sleep, and 2) investigate paramedics engagement with sleep hygiene practices. STUDY DESIGN Participants completed an online, cross-sectional survey. PARTICIPANTS Queensland Ambulance Service paramedics (n = 184) who work shift work. MEASURES The online survey included questions from the Standard Shiftwork Index and Sleep Hygiene Index. RESULTS Most participants reported little or no understanding or knowledge of "sleep hygiene" as a concept. Participants reported that sleep scheduling and bedroom environment (temperature, light, and noise) were the most impactful on sleep. Few participants reported nicotine and alcohol consumption, or daytime napping, whereas caffeine consumption and mentally-stimulating bedtime activities were more common. Participants who were young, single, and worked all shift types (day, afternoon, and night) as part of their regular rosters, demonstrated less knowledge regarding sleep hygiene, and were more likely to be exhibiting poor sleep hygiene engagement. CONCLUSIONS Paramedics demonstrated a limited level of understanding of sleep hygiene as a concept, and varied knowledge about the impacts of individual sleep hygiene factors. Further, paramedics demonstrated varied engagement with individual sleep hygiene practices. Future research should focus on the development of sleep hygiene interventions to optimize sleep in paramedics.
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Affiliation(s)
- Alexandra E Shriane
- Central Queensland University, School of Health, Medical and Applied Sciences, Rockhampton, Queensland, Australia; Queensland Ambulance Service, Brisbane, Queensland, Australia.
| | - Alex M T Russell
- Central Queensland University, School of Health, Medical and Applied Sciences, Rockhampton, Queensland, Australia
| | - Sally A Ferguson
- Central Queensland University, School of Health, Medical and Applied Sciences, Rockhampton, Queensland, Australia
| | - Gabrielle Rigney
- Central Queensland University, School of Health, Medical and Applied Sciences, Rockhampton, Queensland, Australia
| | - Grace E Vincent
- Central Queensland University, School of Health, Medical and Applied Sciences, Rockhampton, Queensland, Australia
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Cordina-Duverger E, Uchai S, Tvardik N, Billmann R, Martin D, Trédaniel J, Wislez M, Blons H, Laurent-Puig P, Antoine M, Guénel P, Radoï L. Sleep Traits, Night Shift Work and Lung Cancer Risk among Women: Results from a Population-Based Case-Control Study in France (The WELCA Study). INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:16246. [PMID: 36498320 PMCID: PMC9740028 DOI: 10.3390/ijerph192316246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 11/21/2022] [Accepted: 12/01/2022] [Indexed: 06/17/2023]
Abstract
Circadian rhythm disruption due to night shift work and/or sleep disorders is associated with negative health outcomes including cancer. There is only scant evidence of an association with lung cancer, unlike breast and prostate cancer. We explore the role of sleep disorders and night shift work in lung cancer risk among women in a population-based case-control study, including 716 lung cancer cases and 758 controls. Multivariable logistic regression models were used to estimate odds ratios (OR) and 95% confidence intervals (CI) associated with sleep duration per day (<7 h, 7−7.9 h, ≥8 h), a summary index of sleep disorders, chronotype, and night shift work exposure metrics. When compared to women with an average sleep duration of 7−7.9 h per day, the OR was 1.39 (95% CI 1.04−1.86) in long sleepers (≥8 h) and 1.16 (95% CI 0.86−1.56) in short sleepers (<7 h). Overall, lung cancer was not associated with the sleep disorder index, nor with night shift work, regardless of the duration of night work or the frequency of night shifts. However, elevated OR associated with the sleep disorder index were found in the subgroup of current smokers. The U-shaped association of lung cancer with sleep duration was more particularly pronounced among women who worked at night ≥5 years. Our findings suggested that sleep patterns are associated with lung cancer risk in women with a potential modifying effect by night shift work duration or tobacco smoking.
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Affiliation(s)
- Emilie Cordina-Duverger
- Équipe Exposome et Hérédité, Inserm U 1018, Center for Research in Epidemiology and Population Health (CESP), University Paris-Sud, Université Versailles Saint-Quentin-en-Yvelines, Université Paris-Saclay, 94807 Villejuif, France
| | - Shreeshti Uchai
- Équipe Exposome et Hérédité, Inserm U 1018, Center for Research in Epidemiology and Population Health (CESP), University Paris-Sud, Université Versailles Saint-Quentin-en-Yvelines, Université Paris-Saclay, 94807 Villejuif, France
- École des Hautes Etudes en Santé Publique (EHESP), 93210 Paris, France
| | - Nastassia Tvardik
- Équipe Exposome et Hérédité, Inserm U 1018, Center for Research in Epidemiology and Population Health (CESP), University Paris-Sud, Université Versailles Saint-Quentin-en-Yvelines, Université Paris-Saclay, 94807 Villejuif, France
| | - Régine Billmann
- Équipe Exposome et Hérédité, Inserm U 1018, Center for Research in Epidemiology and Population Health (CESP), University Paris-Sud, Université Versailles Saint-Quentin-en-Yvelines, Université Paris-Saclay, 94807 Villejuif, France
| | - Diane Martin
- Équipe Exposome et Hérédité, Inserm U 1018, Center for Research in Epidemiology and Population Health (CESP), University Paris-Sud, Université Versailles Saint-Quentin-en-Yvelines, Université Paris-Saclay, 94807 Villejuif, France
| | - Jean Trédaniel
- Unité INSERM UMR-S 1124, Toxicologie, Pharmacologie et Signalisation Cellulaire, Groupe Hospitalier Paris Saint Joseph, Université de Paris, 75014 Paris, France
| | - Marie Wislez
- Unité d’Oncologie Thoracique, Institut du Cancer Paris Carpem, Assistance Publique Hôpitaux de Paris (AP-HP Centre), Université Paris Cité, 75014 Paris, France
- Centre de Recherche des Cordeliers, UMRS 1138 Complement, Inflammation and Cancer, Université de Paris, 75006 Paris, France
| | - Hélène Blons
- Department of Biology Physiology and Genetics, Institut du Cancer Paris Carpem, Assistance Publique Hôpitaux de Paris (AP-HP Centre), Université Paris Cité, 75005 Paris, France
- Centre de Recherche des Cordeliers, INSERM, CNRS SNC 5096, Sorbonne Université, Université de Paris, 75006 Paris, France
| | - Pierre Laurent-Puig
- Department of Biology Physiology and Genetics, Institut du Cancer Paris Carpem, Assistance Publique Hôpitaux de Paris (AP-HP Centre), Université Paris Cité, 75005 Paris, France
- Centre de Recherche des Cordeliers, INSERM, CNRS SNC 5096, Sorbonne Université, Université de Paris, 75006 Paris, France
| | - Martine Antoine
- AP-HP, Tenon Hospital, Pathology, 4 Rue de la Chine, 75020 Paris, France
- UPMC Université Paris 06, GRC No. 04, Theranoscan, 75020 Paris, France
| | - Pascal Guénel
- Équipe Exposome et Hérédité, Inserm U 1018, Center for Research in Epidemiology and Population Health (CESP), University Paris-Sud, Université Versailles Saint-Quentin-en-Yvelines, Université Paris-Saclay, 94807 Villejuif, France
| | - Loredana Radoï
- Équipe Exposome et Hérédité, Inserm U 1018, Center for Research in Epidemiology and Population Health (CESP), University Paris-Sud, Université Versailles Saint-Quentin-en-Yvelines, Université Paris-Saclay, 94807 Villejuif, France
- UFR d’Odontologie, Assistance Publique Hôpitaux de Paris (AP-HP Nord), Hôpital Louis Mourier, Université Paris Cité, 92700 Paris, France
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Hussain J, Ling L, Alonzo RT, Rodrigues R, Nicholson K, Stranges S, Anderson KK. Associations between sleep patterns, smoking, and alcohol use among older adults in Canada: Insights from the Canadian Longitudinal Study on Aging (CLSA). Addict Behav 2022; 132:107345. [PMID: 35526407 DOI: 10.1016/j.addbeh.2022.107345] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Revised: 02/12/2022] [Accepted: 04/26/2022] [Indexed: 11/29/2022]
Abstract
Poor sleep is associated with chronic health conditions among older adults. As substance use rates increase in this population, age-related physiological and cognitive declines may exacerbate its detrimental consequences, including sleep problems. We analyzed cross-sectional associations between sleep patterns, smoking, and alcohol use using baseline data from 30,097 community-dwelling Canadian adults aged 45-85 years from the Canadian Longitudinal Study on Aging. Insomnia symptoms (difficulties falling/staying asleep), sleep duration (short:<6h; long:>8h), and sleep satisfaction(dissatisfied/neutral/satisfied) were measured. Smoking and alcohol-use frequency (past 12 months), average daily amount (past 30 days), and binge drinking (past 12 months) were self-reported, and associations were examined using modified Poisson regression. Approximately 23% of participants had insomnia symptoms, and 26% reported sleep dissatisfaction. 91% of participants were current non-smokers, whereas 7% reported smoking daily. Over 50% drank ≤ 2 drinks daily, and 3% reported binge drinking. There was a higher adjusted prevalence of insomnia among daily smokers (PR = 1.10, 95% CI = 1.00-1.21) and binge drinkers (PR = 1.21, 95% CI = 1.02-1.43). Odds of short sleep duration were lower among regular drinkers (COR = 0.71, 95% CI = 0.56-0.90) and higher among daily smokers (COR = 1.19, 95% CI = 1.01-1.40). Heavy and frequent smoking and alcohol use are associated with both insomnia symptoms and sleep dissatisfaction, but not consistently with sleep duration. Further longitudinal investigation of this relationship in aging populations is needed in clinical and public health settings to infer the extent of causality and design effective public health interventions in this vulnerable population.
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Affiliation(s)
- Junayd Hussain
- Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada; School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ontario, Canada
| | - Linda Ling
- Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Rea T Alonzo
- Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Rebecca Rodrigues
- Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Kathryn Nicholson
- Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Saverio Stranges
- Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada; Department of Family Medicine, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada; Department of Medicine, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada; Department of Population Health, Luxembourg Institute of Health, Strassen, Luxembourg
| | - Kelly K Anderson
- Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada; Department of Psychiatry, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada; Lawson Health Research Institute, Western University, London, Ontario, Canada.
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Does Smoking Affect OSA? What about Smoking Cessation? J Clin Med 2022; 11:jcm11175164. [PMID: 36079094 PMCID: PMC9457519 DOI: 10.3390/jcm11175164] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2022] [Revised: 08/25/2022] [Accepted: 08/29/2022] [Indexed: 11/23/2022] Open
Abstract
The connection between smoking and Obstructive sleep apnea (OSA) is not yet clear. There are studies that have confirmed the effect of smoking on sleep disordered breathing, whereas others did not. Nicotine affects sleep, as smokers have prolonged total sleep and REM latency, reduced sleep efficiency, total sleep time, and slow wave sleep. Smoking cessation has been related with impaired sleep. The health consequences of cigarette smoking are well documented, but the effect of smoking cessation on OSA has not been extensively studied. Smoking cessation should improve OSA as upper airway oedema may reduce, but there is limited data to support this hypothesis. The impact of smoking cessation pharmacotherapy on OSA has been studied, especially for nicotine replacement therapy (NRT). However, there are limited data on other smoking cessation medications as bupropion, varenicline, nortriptyline, clonidine, and cytisine. The aim of this review was to explore the current evidence on the association between smoking and OSA, to evaluate if smoking cessation affects OSA, and to investigate the possible effects of different pharmacologic strategies offered for smoking cessation on OSA.
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Zeng X, Ren Y, Wu K, Yang Q, Zhang S, Wang D, Luo Y, Zhang N. Association Between Smoking Behavior and Obstructive Sleep Apnea: A Systematic Review and Meta-Analysis. Nicotine Tob Res 2022; 25:364-371. [PMID: 35922388 PMCID: PMC9910143 DOI: 10.1093/ntr/ntac126] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2022] [Revised: 04/13/2022] [Accepted: 05/17/2022] [Indexed: 11/14/2022]
Abstract
INTRODUCTION To systematically review the association between smoking behavior and obstructive sleep apnea (OSA). AIMS AND METHODS PubMed, Medline, the Cochrane Library, EMBASE, and Scopus databases were used to conduct this review. The two researchers independently screened the literatures, conducted the quality assessment, and data extraction according to the inclusion and exclusion criteria. The RevMan 5.3 was used to analysis the apnea hypopnea index (AHI) index, min saturation of oxyhemoglobin (SaO2), Epworth Sleepiness Scale (ESS) score, and oxygen desaturation index (DOI) and publication bias analysis to assess the effect of smoking on OSA patients. Furthermore, we performed subgroup of the severity of OSA, different countries of sample origin (western countries or eastern countries), and pack-years (PYs < 10 or PYs ≥ 20) to analyze the heterogeneity. RESULTS Thirteen studies were included in this analysis that conformed to inclusion criteria and exclusion criteria. Totally 3654 smokers and 9796 non-smokers have participated. The meta-analysis of 13 studies demonstrated that AHI levels were significantly higher in smoker group compared with non-smoker, ESS scores were also significantly higher in smoker group compared with non-smoker, min SaO2 levels were obviously lower in smoker group compared with non-smoker, however, DOI levels hadn't significantly different between two groups. The subgroup analysis showed that there was an association between severe OSA, eastern countries, pack-years, and smoking. CONCLUSIONS Smoking behavior is a significant association with OSA. Heavy smokers with histories of more than 20 PYs were at a higher risk of OSA. Moreover, patient with severe OSA exhibited a significantly association with smoking compared with patients with mild or moderate OSA. IMPLICATIONS The relationship between smoking and OSA was controversial, especially, whether smoking increase or aggravate the risk of OSA. In our review and meta-analysis, we demonstrated that smoking behavior is a significant association with OSA. Heavy smokers with histories of more than 20 PYs were at a higher risk of OSA. Moreover, patient with severe OSA exhibited a significant association with smoking compared with patients with mild or moderate OSA. More prospective long-term follow-up studies about effect of quit smoking on OSA are recommended to establish the further relationship.
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Affiliation(s)
- Xiangxia Zeng
- Department of Pulmonary and Critical Care, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, Guangdong, China
| | - Yingying Ren
- Medical Record Management Department, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, Guangdong, China
| | - Kang Wu
- Department of Pulmonary and Critical Care, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, Guangdong, China
| | - Qifeng Yang
- Department of Pulmonary and Critical Care, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, Guangdong, China
| | - Sun Zhang
- Department of Pulmonary and Critical Care, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, Guangdong, China
| | - Donghao Wang
- Department of Pulmonary and Critical Care, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, Guangdong, China
| | - Yateng Luo
- Department of Pulmonary and Critical Care, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, Guangdong, China
| | - Nuofu Zhang
- Corresponding Author: Dr. Nuofu Zhang, Professor, Department of Pulmonary and Critical Care, Medicine, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China. Telephone: 86-20-83062850; Fax: 86-20-83062850; E-mail:
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Çiçekli E, Emre E. The effect of tension variability for sleep quality in headache patients: A Holter monitoring study. Medicine (Baltimore) 2022; 101:e29876. [PMID: 35905274 PMCID: PMC9333460 DOI: 10.1097/md.0000000000029876] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND Hypertension is one of the common causes of headaches. Disruption in the circadian rhythm of blood pressure (BP) also leads to some chronic diseases. Sleep disturbances have a relationship with neurologic and cardiac diseases. Our aim was to compare the sleep quality of patients with headaches showing dipper and nondipper BP patterns. METHODS This retrospective study included 57 patients who applied to a neurology clinic due to headaches and were referred to the cardiology department for Holter monitoring. Chronic diseases, drugs used, smoking and exercise habits, and physical examination findings were recorded. The 24-hour Holter monitoring results were classified as dipper and nondipper. The Pittsburgh Sleep Quality Index scores were determined for each patient. The Pittsburgh Sleep Quality Index scores of patients with dipper and nondipper patterns were compared. RESULTS The sleep quality of patients with dipper Holter patterns was better than that of patients with nondipper patterns (P < .001), and patients without chronic diseases had significantly better sleep quality compared with those with chronic diseases (P = .029). In the presence of chronic disease, the number of patients with a nondipper Holter pattern was higher (P = .024). There were no significant differences in Holter results or sleep quality between smokers and nonsmokers (P > .05). CONCLUSION Diagnoses of sleep disorders and BP abnormalities in the outpatient clinic are valuable in increasing the quality of life of patients and in preventing chronic diseases, especially cardiac diseases that may develop in the future.
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Affiliation(s)
- Esen Çiçekli
- Department of Neurology, Akyazi State Hospital, Sakarya, Turkey
- *Correspondence: Esen Çiçekli, Department of Neurology, Akyazi State Hospital, Batakköy, 54400 Sakarya, Turkey (e-mail: )
| | - Ender Emre
- Department of Cardiology, Ahi Evren Chest and Cardiovascular Surgery Education and Research Hospital, Trabzon, Turkey
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Wang SJ, Shen SY, Lin B, Wang F, Yang HY. Factors affecting postoperative sleep quality of patients undergoing flap transfer for head and neck reconstruction. Oral Oncol 2022; 127:105804. [DOI: 10.1016/j.oraloncology.2022.105804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 02/11/2022] [Accepted: 02/28/2022] [Indexed: 11/28/2022]
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21
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Danilov M, Issany A, Mercado P, Haghdel A, Muzayad JK, Wen X. Sleep quality and health among pregnant smokers. J Clin Sleep Med 2022; 18:1343-1353. [PMID: 34978278 PMCID: PMC9059582 DOI: 10.5664/jcsm.9868] [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: 11/13/2022]
Abstract
STUDY OBJECTIVES We aimed to examine 1) sleep quality trends of pregnant smokers and 2) their associations with health outcomes. METHODS A secondary analysis of 88 participants from the University at Buffalo Pregnancy and Smoking Cessation Study (non-randomized clinical study) was performed. Sleep quality was measured with the Pittsburgh Sleep Quality Index (PSQI) (higher scores, worse quality) and sleep duration was self-reported repeatedly during pregnancy at pre-intervention, post-intervention, and end-of-pregnancy visits. Participants were divided into 3 groups (until pre-intervention, until post-intervention, until end-of-pregnancy). Maternal outcomes included gestational weight gain (GWG) and smoking cessation. Infant outcomes included birth weight, gestational age, and APGAR score. RESULTS There was a significant increase (P= 0.046) in PSQI score from post-intervention (mean, 5.5 [SD, 2.6]) to end-of-pregnancy (6.6 [SD, 2.8]). Mean GWG was significantly lower for participants with poor sleep quality than those with good sleep quality (19.0 kg [SD, 21.3] vs. 36.1 kg [SD, 22.8]; P=0.008). Newborns with poor maternal sleep quality had a significantly lower mean 5-minute APGAR score (8.1 [SD, 1.3] vs. 9.0 [SD, 0.0]; P=0.021) than newborns with good maternal sleep quality. Pre-intervention sleep quality was not associated with smoking cessation, birth weight, or gestational age. Smoking cessation was almost half as prevalent in participants with insufficient sleep (<7 hours/night) vs. sufficient sleep duration (47.4% vs. 92.3%, P=0.011). CONCLUSIONS Sleep quality worsened towards the end-of-pregnancy among smokers. Poor sleep might negatively influence GWG and APGAR score. Insufficient pre-intervention sleep might negatively influence smoking cessation.
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Affiliation(s)
- Michael Danilov
- Division of Behavioral Medicine, Department of Pediatrics, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY
| | - Arsh Issany
- Division of Behavioral Medicine, Department of Pediatrics, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY
| | - Paul Mercado
- Division of Behavioral Medicine, Department of Pediatrics, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY
| | - Arsalan Haghdel
- Division of Behavioral Medicine, Department of Pediatrics, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY
| | - Jamila Khlid Muzayad
- Division of Behavioral Medicine, Department of Pediatrics, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY
| | - Xiaozhong Wen
- Division of Behavioral Medicine, Department of Pediatrics, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY
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22
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Bi Y, Hu L. Magnetic resonance imaging for smoking abstinence: symptoms, mechanisms, and interventions. BRAIN SCIENCE ADVANCES 2021. [DOI: 10.26599/bsa.2021.9050016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
Tobacco smoking is the leading preventable cause of morbidity and mortality worldwide. Although a number of smokers are aware of the adverse outcomes of smoking and express a strong desire to stop smoking, most smoking quit attempts end in relapse within the first few days of abstinence, primarily resulting from the aversive aspects of the nicotine withdrawal syndrome. Therefore, studying the neural mechanisms of smoking abstinence, identifying smokers with heightened relapse vulnerability prior to quit attempts, and developing effective smoking cessation treatments appear to be promising strategies for improving the success of quit attempts. In recent years, with the development of magnetic resonance imaging, the neural substrates of smoking abstinence have become extensively studied. In this review, we first introduce the psychophysiological changes induced by smoking abstinence, including affective, cognitive, and somatic signs. We then provide an overview of the magnetic resonance imaging-based evidence regarding abstinence-related functional changes accompanied by these psychophysiological changes. We conclude with a discussion of the neural markers that could predict relapse during quit attempts and a summary of the psychophysiological interventions that are currently often used to help with smoking cessation. This review extends our understanding of the role of the central nervous system in smoking abstinence.
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Affiliation(s)
- Yanzhi Bi
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing 100101, China
| | - Li Hu
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing 100101, China
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Secondhand smoke is associated with poor sleep quality in self-reported never-smokers of Northwest China: a cross-sectional study. Sleep Breath 2021; 26:1417-1426. [PMID: 34674105 DOI: 10.1007/s11325-021-02505-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2021] [Revised: 09/29/2021] [Accepted: 09/30/2021] [Indexed: 10/20/2022]
Abstract
OBJECTIVE To investigate the relationship between secondhand smoke (SHS) exposure and sleep quality in never-smokers of Northwest China. METHODS Never-smoking adults (≥ 15 years) from Xinjiang, Northwest China, were included in this cross-sectional survey between April and October 2019. SHS exposure in never-smokers was estimated using a structured questionnaire. Sleep quality was evaluated by Pittsburgh Sleep Quality Index (PSQI), with PSQI score > 5 classified as poor sleep quality. Association of SHS exposure and frequency and duration of SHS exposure with poor sleep quality were analyzed by using a multivariate logistic regression after adjusting for potential confounding factors, including stratification by sex. RESULTS The mean age of participants was 48.0 years, and 77% were females. Of 21,198 never-smokers, 13% (n = 2703) reported SHS exposure and 35% (n = 7390) reported poor sleep quality. In multivariate logistic regression analysis, a significant association was observed between SHS exposure and poor sleep quality (adjusted odds ratio (OR), 1.36; 95% confidence interval (CI) 1.24-1.48). Subgroup analysis showed a negative association of SHS exposure with sleep quality in both sexes. However, a significant dose-response relationship of frequency and duration of SHS exposure per week with poor sleep quality was observed only in females. Consistent results were also observed in the aged ≥ 18 years. CONCLUSION Exposure to SHS is associated with poor sleep quality in never-smoking adults of Northwest China. A dose-response relationship between SHS exposure and poor sleep quality is found in women. Avoiding SHS exposure may have beneficial effects on sleep quality, especially for females.
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Vera V, Oñate G, Fernández M, Valladares M, Crovetto M, Espinoza V, Mena F, Agüero SD. Tobacco consumption in Chilean university students and associations with anthropometry, eating habits and sleep quality multicentric study. JOURNAL OF PREVENTIVE MEDICINE AND HYGIENE 2021; 62:E430-E438. [PMID: 34604584 PMCID: PMC8451367 DOI: 10.15167/2421-4248/jpmh2021.62.2.1868] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/14/2020] [Accepted: 01/11/2021] [Indexed: 11/16/2022]
Abstract
Tobacco Consumption (TC) is one of the main causes of the deterioration of health; however, there are few studies linking its consumption with diet and nutrition among university students. The objective of this study is to test the association of smoking with anthropometry, diet and sleep quality among Chilean university students. Cross-sectional study. University students (n = 1454) from the North, South and Central parts of Chile were evaluated. A self-assessment survey was used to evaluate healthy and unhealthy eating habits. Nutritional status was evaluated by Body Mass Index (BMI). Two surveys were used to assess sleep quality: the Questionnaire of Insomnia and the Epworth Scale. Finally, participants were consulted about Tobacco Consumption: 30% of the students consume tobacco and have a higher score in unhealthy food consumption, less frequent weekly breakfast consumption (< 0.01), lower daily fruit (< 0.01) and vegetables (< 0.05) consumption, higher alcohol consumption (< 0.05) and daily junk food consumption (< 0.05) compared to non-consuming students. Men who consume tobacco present greater insomnia (< 0.001), sleep latency (< 0.001) and daytime sleepiness (< 0.05) compared to non-consumers; and women who consume tobacco have a higher weight (< 0.001) and BMI (< 0.01). When performing logistic regression, tobacco consumption is positively associated with major alcohol consumption (< 0.001), whereas fish (< 0.05) and vegetable (< 0.05) consumption was negatively associated. In conclusion, students of both sexes who smoke have more unfavorable health factors and a poorer quality of life.
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Affiliation(s)
- Valentina Vera
- Escuela de Nutrición y Dietética. Facultad de Ciencias para el Cuidado de la Salud, Universidad San Sebastián, Chile
| | - Gloria Oñate
- Universidad Autónoma de Chile, Carrera Nutrición y Dietética, Chile
| | | | - Macarena Valladares
- Centro Integrativo de Biología y Química Aplicada (CIBQA), Universidad Bernardo O Higgins, Chile
| | - Mirta Crovetto
- Facultad de Ciencias de la Salud. Universidad de Playa Ancha, Centro de Estudios Avanzados, Facultad de Ciencias de la Salud, Universidad Playa Ancha, Valparaíso, Chile
| | - Valentina Espinoza
- Departamento de Procesos Diagnósticos y Evaluación, Facultad de Ciencias de la Salud, Universidad Catolica de Temuco, Chile
| | - Francisco Mena
- Estudiante Programa Doctorado Nutrición y Alimentos, University of Chile, Chile
| | - Samuel Durán Agüero
- Escuela de Nutrición y Dietética. Facultad de Ciencias para el Cuidado de la Salud, Universidad San Sebastián, Chile
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García-Aviles JE, Méndez-Hernández R, Guzmán-Ruiz MA, Cruz M, Guerrero-Vargas NN, Velázquez-Moctezuma J, Hurtado-Alvarado G. Metabolic Disturbances Induced by Sleep Restriction as Potential Triggers for Alzheimer's Disease. Front Integr Neurosci 2021; 15:722523. [PMID: 34539357 PMCID: PMC8447653 DOI: 10.3389/fnint.2021.722523] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Accepted: 07/26/2021] [Indexed: 01/15/2023] Open
Abstract
Sleep has a major role in learning, memory consolidation, and metabolic function. Although it is known that sleep restriction increases the accumulation of amyloid β peptide (Aβ) and the risk to develop Alzheimer's disease (AD), the mechanism behind these effects remains unknown. In this review, we discuss how chronic sleep restriction induces metabolic and cognitive impairments that could result in the development of AD in late life. Here, we integrate evidence regarding mechanisms whereby metabolic signaling becomes disturbed after short or chronic sleep restriction in the context of cognitive impairment, particularly in the accumulation of Aβ in the brain. We also discuss the role of the blood-brain barrier in sleep restriction with an emphasis on the transport of metabolic signals into the brain and Aβ clearance. This review presents the unexplored possibility that the alteration of peripheral metabolic signals induced by sleep restriction, especially insulin resistance, is responsible for cognitive deficit and, subsequently, implicated in AD development.
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Affiliation(s)
- Jesús Enrique García-Aviles
- Area of Neurosciences, Biology of Reproduction Department, Ciencias Biológicas y de la Salud, Universidad Autónoma Metropolitana, Unidad Iztapalapa, Mexico City, Mexico.,Posgrado en Biología Experimental, Universidad Autónoma Metropolitana, Unidad Iztapalapa, Mexico City, Mexico
| | - Rebeca Méndez-Hernández
- Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, Ciudad Universitaria, Mexico City, Mexico
| | - Mara A Guzmán-Ruiz
- Departamento de Fisiología, Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Miguel Cruz
- Instituto Mexicano del Seguro Social, Centro Médico Nacional Siglo XXI, Hospital de Especialidades, Unidad de Investigación Médica en Bioquímica, Mexico City, Mexico
| | - Natalí N Guerrero-Vargas
- Departamento de Anatomía, Facultad de Medicina, Universidad Nacional Autónoma de México, México City, Mexico
| | - Javier Velázquez-Moctezuma
- Area of Neurosciences, Biology of Reproduction Department, Ciencias Biológicas y de la Salud, Universidad Autónoma Metropolitana, Unidad Iztapalapa, Mexico City, Mexico
| | - Gabriela Hurtado-Alvarado
- Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, Ciudad Universitaria, Mexico City, Mexico
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Hu N, Wang C, Liao Y, Dai Q, Cao S. Smoking and incidence of insomnia: a systematic review and meta-analysis of cohort studies. Public Health 2021; 198:324-331. [PMID: 34507139 DOI: 10.1016/j.puhe.2021.07.012] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Revised: 05/28/2021] [Accepted: 07/09/2021] [Indexed: 11/28/2022]
Abstract
OBJECTIVE This study investigated the impact of smoking on the incidence of insomnia. STUDY DESIGN Systematic review and meta-analysis of cohort studies. METHODS PubMed, EMBASE, Web of Science, Cochrane Library, and OVID were searched through March 2020. Cohort studies reporting the effect of smoking on the incidence of insomnia were included. We quantitatively analyzed the basic framework and study characteristics and then pooled estimate effects with 95% confidence intervals (CIs) of outcomes of each included study using fixed-effects meta-analyses. RESULTS This systematic review included six cohort studies involving 12,445 participants. Quantitatively summarized results suggested that smoking could significantly increase the incidence of insomnia (odds ratio [OR]: 1.07, 95% CI: 1.02, 1.13). Regular smoking was significantly associated with the incidence of insomnia (OR = 1.07, 95% CI: 1.01, 1.13). As for occasional smokers and ex-smokers, the pooled analysis did not indicate a significant association (occasional smoker: OR = 2.09, 95% CI: 0.44, 9.95; ex-smoker; OR = 1.02, 95% CI: 0.67, 1.54). Subgroup analysis by age, gender ratio, and region showed a statistically significant relationship between smoking and the incidence of insomnia in specific groups. CONCLUSIONS Integrated longitudinal observational evidence identified smoking as a significant risk factor of insomnia. Considering the limited amount of available studies, more high-quality and prospective cohort studies of large sample sizes are needed to explore details of this association.
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Affiliation(s)
- N Hu
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - C Wang
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Y Liao
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Q Dai
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - S Cao
- School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
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Electronic Device Use before Bedtime and Sleep Quality among University Students. Healthcare (Basel) 2021; 9:healthcare9091091. [PMID: 34574865 PMCID: PMC8466496 DOI: 10.3390/healthcare9091091] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2021] [Revised: 08/08/2021] [Accepted: 08/18/2021] [Indexed: 11/17/2022] Open
Abstract
Using electronic devices before bedtime impacts sleep quality and has become a major public health issue. This study aims to investigate the associations between electronic devices (EDs) use before bedtime and sleep quality in Vietnamese university students. A total of 369 university students from three departments were recruited. Participants completed self-report surveys, including demographic characteristics, lifestyle, ED-use behaviors, the Pittsburgh Sleep Quality Index, and the Center for Epidemiologic Studies Depression Scale. A total of 48.8% of the students experienced poor sleep quality, and 98.1% reported using at least one type of ED every day within two hours before bedtime. Smartphones are the most used devices (92.3%). ED usage within two hours before bedtime (p = 0.031), lack of exercise (p = 0.006), alcohol consumption (p = 0.025), and coffee intake after 4 pm (p = 0.018) were associated with poor sleep quality. ED use near bedtime for a duration longer than 30 min (p = 0.001) and depression (p < 0.001) were associated with poorer sleep quality among university students. ED use near bedtime more than 30 min was significantly associated with poorer sleep quality after adjusting depression status, exercise, and caffeine/alcohol intake in the latter part of the day. This study emphasizes the importance of adequate sleep and restriction of ED use near bedtime, which are necessary for better sleep in university students.
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COVID-related psychological distress fully mediates the association from social impact to sleep disturbance among patients with chronic schizophrenia. Sci Rep 2021; 11:16524. [PMID: 34400716 PMCID: PMC8368012 DOI: 10.1038/s41598-021-96022-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Accepted: 08/03/2021] [Indexed: 11/08/2022] Open
Abstract
The aims of the current study were to identify factors associated with sleep disturbance and Coronavirus disease-19 related psychological distress (CPD), and to develop a conceptual model to verify the mediating effect of CPD on the association between social impact and sleep disturbance. This study recruited patients with schizophrenia. Factors associated with the level of sleep disturbance and CPD were identified using univariate linear regression, and further selected into a stepwise multivariate linear regression model. Using structural equation modeling, a mediation model was developed to test the mediating effect of CPD on the association between social impact and sleep disturbance. After estimating with the stepwise and bootstrap regression, higher levels of CPD were associated with higher levels of social anxiety and subjects without a regular diet. Sleep disturbance was associated with a higher level of social anxiety, a history of psychological trauma, chronic disease, and those who did not smoke. The final model confirmed the mediating effects of CPD; whereas, the direct effect from social impact to sleep disturbance did not reach statistical significance. The current study manifests the crucial role of CPD on the association between social impact and sleep disturbance, and timely intervention for CPD is warranted.
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Truong MK, Berger M, Haba-Rubio J, Siclari F, Marques-Vidal P, Heinzer R. Impact of smoking on sleep macro- and microstructure. Sleep Med 2021; 84:86-92. [PMID: 34126401 DOI: 10.1016/j.sleep.2021.05.024] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Revised: 05/14/2021] [Accepted: 05/20/2021] [Indexed: 10/21/2022]
Abstract
OBJECTIVES Existing data suggest that smoking may be associated with sleep disturbances. This study aimed to determine the association between smoking and both subjective and objective sleep quality. METHODS Cross-sectional analysis of sleep characteristics in 3233 participants from the population-based CoLaus-HypnoLaus cohort (52.2% women, mean age 56.6 ± 10.2 years) who completed questionnaires on sleep quality, of whom 1489 (46%) had a full polysomnography. Smoking data were self-reported; participants were classified by smoking status as current, former or never smokers. Primary outcomes were subjective sleep quality assessed by sleep questionnaires, and objective sleep quality based on polysomnography (sleep macrostructure), including power spectral analysis of the electroencephalogram on C4 electrode (sleep microstructure), quantifying the relative amount of delta power (1-4 Hz), a marker of sleep depth, and arousal-associated alpha power (8-12 Hz). RESULTS Current smokers had a shift toward faster sleep electroencephalogram activity with lower delta power in non-REM sleep compared with former and never smokers (-2.8 ± 0.4% and -2.4 ± 0.4%, respectively; both p < 0.001) and higher alpha power (+0.8 ± 0.2%; p < 0.001) compared with never smokers. There was a dose-dependent negative association between electroencephalogram delta power and smoking intensity (r2 = -1.2 [-1.9, -0.5]; p = 0.001). Additionally, mean nocturnal oxygen saturation was lower in current smokers. CONCLUSIONS Current smokers had decreased objective sleep quality, with a dose-dependent association between smoking intensity and decrease in electroencephalogram delta power during non-REM sleep, in addition to an increase in alpha power. Considering the importance of sleep quality for wellbeing and health, these results provide further data to support smoking cessation.
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Affiliation(s)
- Minh Khoa Truong
- Department of Medicine, Service of Pulmonary Medicine, Lausanne University Hospital (CHUV), University of Lausanne (UNIL), Lausanne, Switzerland.
| | - Mathieu Berger
- Center for Investigation and Research in Sleep (CIRS), Lausanne University Hospital (CHUV), University of Lausanne (UNIL), Lausanne, Switzerland
| | - José Haba-Rubio
- Center for Investigation and Research in Sleep (CIRS), Lausanne University Hospital (CHUV), University of Lausanne (UNIL), Lausanne, Switzerland
| | - Francesca Siclari
- Center for Investigation and Research in Sleep (CIRS), Lausanne University Hospital (CHUV), University of Lausanne (UNIL), Lausanne, Switzerland; Department of Clinical Neurosciences, Lausanne University Hospital (CHUV), University of Lausanne (UNIL), Lausanne, Switzerland
| | - Pedro Marques-Vidal
- Department of Medicine, Service of Internal Medicine, Lausanne University Hospital (CHUV), University of Lausanne (UNIL), Lausanne, Switzerland
| | - Raphaël Heinzer
- Department of Medicine, Service of Pulmonary Medicine, Lausanne University Hospital (CHUV), University of Lausanne (UNIL), Lausanne, Switzerland; Center for Investigation and Research in Sleep (CIRS), Lausanne University Hospital (CHUV), University of Lausanne (UNIL), Lausanne, Switzerland
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Trevisan IB, Vanderlei LCM, Proença M, Barreira TV, Santos CP, Gouveia TS, Ramos EMC, Ramos D. Sleep Quality Associated with Habitual Physical Activity Level and Autonomic Nervous System of Smokers. Arq Bras Cardiol 2021; 116:26-35. [PMID: 33331460 PMCID: PMC8159490 DOI: 10.36660/abc.20190522] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2019] [Accepted: 11/26/2019] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Few studies have examined the relationship of one's habitual physical activity level and autonomic nervous system (ANS) modulation on sleep quality in smokers. OBJECTIVE The aim of this study was to identify changes in the sleep quality of smokers and its relation with their habitual physical activity level and ANS modulation. METHODS Forty-two smokers were divided into two groups according to the 50th percentile of the moderate-to-vigorous physical activity (MVPA). Sleep quality was assessed using the Mini-sleep Questionnaire, and ANS modulation was assessed by indices of heart rate variability (HRV). To examine the possible mean differences, the analysis of covariance (ANCOVA) was used, adjusted for age, sex, body composition, pack-years, beta-blockers, anxiety, and depression in log base 10, not including qualitative data, such as sex and beta-blockers. Correlations were made by using the Spearman rank correlation. The statistical significance was set at 5. RESULTS The smokers who were less active showed poor sleep quality (p=0.048) and insomnia (p=0.045). Furthermore, the less active group presented decreased parasympathetic modulation [HF (un; p=0.049); RMSSD (ms; p=0.047) and SD1 (ms; p=0.047)] and an increased LF (un) index (p=0.033) and LF/HF ratio (p=0.040). A positive correlation between the total Mini-sleep score with LF (un) index (r=0.317, p=0.041) and LF/HF ratio (r=0.318, p=0.040) and negative correlation with HF (un) index (r= -0.322, p=0.038). CONCLUSIONS Smokers with lower levels of habitual physical activity showed poor sleep quality and alterations in autonomic nervous system modulation; (Arq Bras Cardiol. 2020; [online].ahead print, PP.0-0).
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Affiliation(s)
- Iara Buriola Trevisan
- Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP),Presidente Prudente, SP - Brasil
| | | | - Mahara Proença
- Universidade Estadual do Norte do Paraná (UENP), Jacarezinho, PR - Brasil
| | | | - Caroline Pereira Santos
- Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP),Presidente Prudente, SP - Brasil
| | - Tamara Santos Gouveia
- Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP),Presidente Prudente, SP - Brasil
| | - Ercy Mara Cipulo Ramos
- Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP),Presidente Prudente, SP - Brasil
| | - Dionei Ramos
- Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP),Presidente Prudente, SP - Brasil
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Lee BG, Lee H. [Associations between Cigarette and Electronic Cigarette Use and Sleep Health in Korean Adolescents: An Analysis of the 14th (2018) Korea Youth Risk Behavior Surveys]. J Korean Acad Nurs 2021; 51:380-389. [PMID: 34215714 DOI: 10.4040/jkan.21034] [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: 02/22/2021] [Revised: 04/19/2021] [Accepted: 04/28/2021] [Indexed: 11/09/2022]
Abstract
PURPOSE This study aimed to understand the relationship between cigarette and electronic cigarette (e-cigarette) use and sleep health among Korean adolescents. METHODS Using the 14th Korea Youth Risk Behavior Survey, we included 52,928 adolescents who responded to sleep satisfaction and sleep duration. Participants were classified into four groups: non-users, cigarette-only users, e-cigarette-only users, and dual users of both products. To examine the associations between cigarette and e-cigarette use and sleep health, data were analyzed using complex samples cross tabulation and complex samples logistic regression. RESULTS Of the four groups, dual users reported the lowest level of sleep satisfaction and sleep duration; 57.0% and 86.9% of dual users were not satisfied with their sleep and have insufficient sleep duration, respectively. The proportion of students who were not satisfied with their sleep was higher among cigarette-only users compared to e-cigarette-only users (52.7% vs. 45.8%), but the two groups reported similar rates of insufficient sleep duration (84.2% vs. 84.3%). Compared to non-users, cigarette-only users, e-cigarette-only users, and dual users were more likely to not be satisfied with sleep (odds ratios [ORs] were 1.49, 1.36, and 1.75, respectively) and had significantly higher odds of experiencing insufficient sleep duration (ORs were 1.85, 2.06, and 2.34, respectively). CONCLUSION E-cigarette-only use and dual use as well as cigarette-only use were associated with poor sleep health. Therefore, to improve adolescent sleep health, health professionals should provide sleep intervention strategies considering the association between smoking and sleep health.
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Affiliation(s)
- Bo Gyeong Lee
- College of Nursing · Research Institute of Nursing Science, Daegu Catholic University, Daegu, Korea
| | - Haein Lee
- College of Nursing · Research Institute of Nursing Science, Daegu Catholic University, Daegu, Korea.
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Zandy M, Chang V, Rao DP, Do MT. Tobacco smoke exposure and sleep: estimating the association of urinary cotinine with sleep quality. HEALTH PROMOTION AND CHRONIC DISEASE PREVENTION IN CANADA-RESEARCH POLICY AND PRACTICE 2020; 40:70-80. [PMID: 32162509 DOI: 10.24095/hpcdp.40.3.02] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
INTRODUCTION A majority of studies on tobacco smoke exposure and sleep quality have relied on self-reported smoking, resulting in potential exposure misclassification and biases related to self-report. The objective of this study was to investigate associations between urinary cotinine, a biological marker of tobacco smoke exposure, and sleep quality measures, including sleep duration, sleep continuity or efficiency, sleep satisfaction and alertness during normal waking hours. METHODS Using data on a national sample of 10 806 adults (aged 18-79 years) from the Canadian Health Measures Survey (2007-2013), we performed binary logistic regression analyses to estimate associations between urinary cotinine concentrations and sleep quality measures, while controlling for potential confounders. Additionally, we performed ordinal logistic regression to assess the association between urinary cotinine concentrations and increased number of sleep problems. RESULTS Overall, 28.7% of adult Canadian survey respondents had urinary cotinine concentrations above the limit of detection (LOD), nd the prevalence of each sleep problem ranged from 5.5% to 35.6%. Elevated urinary cotinine concentrations (quartile 4 vs. <LOD) were associated with significantly higher odds of short or long sleep duration (OR = 1.41; 95% CI: 1.02-1.95; p-trend = .021), trouble falling or staying asleep (OR = 1.71; 95% CI: 1.28-2.27; p-trend = .003), sleep dissatisfaction (OR = 1.87; 95% CI: 1.21-2.89; p-trend = .011), and increased number of sleep problems (OR = 1.64; 95% CI: 1.19-2.26; p-trend = .001). Stronger associations were observed among females compared to males. CONCLUSION Using a biological marker of tobacco smoke exposure, our study contributes to the body of literature of toxic environmental exposures on sleep quality by supporting an association between tobacco smoke exposure and poorer sleep quality. To address the limitations of a cross-sectional study design and to better assess the temporality of tobacco smoke exposure and sleep quality, longitudinal studies are recommended.
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Affiliation(s)
- Moe Zandy
- Public Health Agency of Canada, Ottawa, Ontario, Canada
| | - Vicky Chang
- Public Health Agency of Canada, Ottawa, Ontario, Canada.,Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Deepa P Rao
- Public Health Agency of Canada, Ottawa, Ontario, Canada
| | - Minh T Do
- Public Health Agency of Canada, Ottawa, Ontario, Canada
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So CJ, Meers JM, Alfano CA, Garey L, Zvolensky MJ. Main and Interactive Effects of Nicotine Product Type on Sleep Health Among Dual Combustible and E-Cigarette Users. Am J Addict 2020; 30:147-155. [PMID: 33231910 DOI: 10.1111/ajad.13130] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Revised: 09/24/2020] [Accepted: 10/25/2020] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND AND OBJECTIVES E-cigarette use is associated with concurrent use of combustible cigarettes among adults and may increase the risk of future combustible cigarette use in adolescents and young adults. Detrimental effects of combustible cigarette use on sleep health are well documented, but little is known about the additive effects of concurrent e-cigarette use. The current study examined the main and interactive effects of daily nicotine product frequency on various components of sleep health. METHODS Two hundred and twenty-seven dual-product users (54.2% female, Mage = 36.89, SD = 10.17) completed questionnaires regarding demographic information, average number of cigarettes smoked per day, average number of times e-cigarettes used per day, and sleep health. RESULTS Combustible cigarette frequency uniquely predicted shorter sleep duration, whereas e-cigarette frequency uniquely predicted increased daytime dysfunction due to sleepiness. Further, there was an interactive effect of combustible and electronic cigarettes on the use of sleeping medications. DISCUSSION AND CONCLUSIONS Findings may suggest differential adverse effects on sleep, depending on the type of nicotine product used, and highlight potential intervention targets for users. Future work should examine these associations prospectively and/or use objective measurements of sleep and nicotine use to further elucidate the nature of these relationships. SCIENTIFIC SIGNIFICANCE This is the first study to explore the main and interactive effects of dual-product use on various dimensions of subjective sleep quality. This is important to investigate, given that dual nicotine users are at greater risk for physical health problems as well as the adverse effects of nicotine on sleep health. (Am J Addict 2020;00:00-00).
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Affiliation(s)
- Christine J So
- Department of Psychology, University of Houston, Houston, Texas
| | - Jessica M Meers
- Department of Psychology, University of Houston, Houston, Texas
| | - Candice A Alfano
- Department of Psychology, University of Houston, Houston, Texas.,HEALTH Research Institute, University of Houston, Houston, Texas
| | - Lorra Garey
- Department of Psychology, University of Houston, Houston, Texas
| | - Michael J Zvolensky
- Department of Psychology, University of Houston, Houston, Texas.,HEALTH Research Institute, University of Houston, Houston, Texas.,Department of Behavioral Science, The University of Texas MD Anderson Cancer Center, Houston, Texas
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Abstract
Objective: To examine the linkage between smoking and sleep disturbance in Indonesia Methods: This study used data from the 2014 Indonesia Family Life Survey (IFLS), drawn from a sample of 38,879 individuals from 15,067 households living in 262 communities. Sleep disturbance was measured by ten validated indicators of sleep quality and sleep deprivation adopted from the PROMIS (Patient Recorded Outcomes Measurement Information System), developed by the USC Center for Economic and Social Research (CESR), USA. Hierarchical ordered logistic regression was used to account for unobserved factors in village communities. Results: In 2014, the prevalence of smoking in Indonesia remained high at thirty-two percent of the population, or about ninety million active smokers. Nearly half of smokers were young adult males. Eight of every ten males who reported sleep disturbance were smokers. Current smokers' odds of facing sleep disturbance were almost one-and-one-half times higher than those of nonsmokers (OR = 1.39, p-value < 0.01), and among heavy smokers, the odds were almost double (OR = 1.91, p-value < 0.01). These findings were controlled for stressors, chronic diseases, social support and sociodemographic characteristics as well as unobserved factors in village communities. Conclusion: The substantial relationship between smoking and sleep disturbance suggests that policies that address the issue of sleep disturbance through preventing tobacco use among young adults should be a public health priority in Indonesia.
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Affiliation(s)
- Sujarwoto Sujarwoto
- Portsmouth Brawijaya Centre for Global Health, Population and Policy, University of Brawijaya , Malang, Jawa Timur, Indonesia
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Effects of atmospheric particulate matter pollution on sleep disorders and sleep duration: a cross-sectional study in the UK biobank. Sleep Med 2020; 74:152-164. [DOI: 10.1016/j.sleep.2020.07.032] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Revised: 07/03/2020] [Accepted: 07/27/2020] [Indexed: 12/27/2022]
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Liu Y, Li H, Li G, Kang Y, Shi J, Kong T, Yang X, Xu J, Li C, Su KP, Wang F. Active smoking, sleep quality and cerebrospinal fluid biomarkers of neuroinflammation. Brain Behav Immun 2020; 89:623-627. [PMID: 32717405 DOI: 10.1016/j.bbi.2020.07.021] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2020] [Revised: 07/09/2020] [Accepted: 07/16/2020] [Indexed: 11/30/2022] Open
Abstract
BACKGROUNDS Cigarette smoking has been shown to be associated with sleep disorders and the related neuropathogenesis including neuroinflammation. Previous studies showed that pro- and anti-inflammatory cytokines are physiologically important in maintaining circadian function. In addition, sleep deprivation leads to immune dysregulations. However, no study has been published yet by using cerebrospinal fluid (CSF) biomarkers of neuroinflammation to investigate the relationship between active cigarette smoking and sleep disorders. METHODS CSF tissues from subjects of 191 male subjects (non-smokers n = 104; active smokers n = 87) receiving local anesthesia before surgery for anterior cruciate ligament injuries were obtained after the assessment of clinical information and Pittsburgh Sleep Quality Index (PSQI). The levels of tumor necrosis factor alpha (TNFα), Interleukin (IL) 1 beta (IL1β), IL2, IL4, IL6 and IL10 were measured using radioimmunoassay and ELISA. RESULTS PSQI scores were significantly higher in active smokers than that in non-smokers (p < 0.001, Cohen's d = 0.63). Significantly higher levels of CSF TNFα were found in active smokers compared to non-smokers (28 ± 1.97 vs. 22.97 ± 2.48, p < 0.05, Cohen's d = 2.23). There was a positive correlation between CSF IL1β levels and PSQI scores in non-smokers (r = 0.31, p = 0.01, adjustment R-Squared = 0.11). DISCUSSION This is the first study to reveal the association between higher CSF TNFα levels and poorer sleep quality in active smoking. In addition, CSF IL1β levels might be a potential biomarker in central nervous system for circadian dysregulation.
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Affiliation(s)
- Yanlong Liu
- School of Mental Health, Wenzhou Medical University, Wenzhou 325035, China; The Affiliated Kangning Hospital, Wenzhou Medical University, Wenzhou 325035, China
| | - Hui Li
- Department of Biomedical Engineering, College of Engineering, Peking University, Beijing 100871, China; The Second Affiliated Hospital, Xinjiang Medical University, Urumqi 830063, China; Psychosomatic Medicine Research Division, Inner Mongolia Medical University, Huhhot 010110, China
| | - Guohua Li
- The Second Affiliated Hospital, Xinjiang Medical University, Urumqi 830063, China
| | - Yimin Kang
- Psychosomatic Medicine Research Division, Inner Mongolia Medical University, Huhhot 010110, China
| | - Jianping Shi
- The Second Affiliated Hospital, Xinjiang Medical University, Urumqi 830063, China
| | - Tiantian Kong
- The Second Affiliated Hospital, Xinjiang Medical University, Urumqi 830063, China
| | - Xiaoyu Yang
- Beijing Jishuitan Hospital, Beijing 100035, China
| | - Jinzhong Xu
- The Affiliated Wenling Hospital of Wenzhou Medical University, Wenling 317500, China
| | - Cunbao Li
- Psychosomatic Medicine Research Division, Inner Mongolia Medical University, Huhhot 010110, China
| | - Kuan-Pin Su
- Department of Psychiatry & Mind-Body Interface Laboratory (MBI-Lab), China Medical University Hospital, Taichung, Taiwan; College of Medicine, China Medical University, Taichung, Taiwan; An-Nan Hospital, China Medical University, Tainan, Taiwan.
| | - Fan Wang
- Beijing Hui-Long-Guan Hospital, Peking University, Beijing 100096, China; The Second Affiliated Hospital, Xinjiang Medical University, Urumqi 830063, China.
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Al-Wandi AS, Shorbagi SI. Sleep patterns and its relation to lifestyle habits: a study of secondary high school students in Sharjah, United Arab Emirates. AIMS Public Health 2020; 7:713-722. [PMID: 32968688 PMCID: PMC7505787 DOI: 10.3934/publichealth.2020055] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Accepted: 09/10/2020] [Indexed: 11/30/2022] Open
Abstract
Objectives Sleep is a fundamental element in the growth and development of adolescents. Sleep undergoes significant changes during adolescence due to physiological and environmental factors. It has been scientifically shown that the required sleep duration in adolescence is more than 8 hours per day. The aim of this study is to understand sleep patterns and sleep-wake cycle of Sharjah adolescents, and identify lifestyle habits affecting those sleep patterns, and to assess the prevalence of sleep problems. Methods The study was a cross-sectional survey of 519 high-school students, ages 14–21 years, in Sharjah city, United Arab Emirates. It was conducted using a self-filled questionnaire that included questions about demographic data, sleep and lifestyle habits and sleep problems of adolescents. Results The mean age of our sample was 16.24. Most students (64.5%) were reported to sleep between 5 and 8 hours on school nights. The average time to go to bed on weekdays was 11:25 PM. The average time to wake up on weekdays was 6:12 AM. Frequent arousals with difficulty getting back to sleep was the most encountered sleep problem among our sample. Conclusion A large proportion of adolescents in our study had insufficient sleep duration and suffer from some sleep disturbances. Smoking was found to be associated with sleep as non-smokers obtained longer sleep durations. There was no association between physical activity or usage of electrical devices and sleep. Therefore, it is necessary to intervene by organizing awareness programs to improve sleep patterns among adolescent students.
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Affiliation(s)
| | - Sarra Ibrahim Shorbagi
- College of Medicine, Family Medicine Department, University of Sharjah, Sharjah, United Arab Emirates
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Kagabo R, Thiese MS, Eden E, Thatcher AC, Gonzalez M, Okuyemi K. Truck Drivers' Cigarette Smoking and Preferred Smoking Cessation Methods. SUBSTANCE ABUSE-RESEARCH AND TREATMENT 2020; 14:1178221820949262. [PMID: 32848405 PMCID: PMC7427133 DOI: 10.1177/1178221820949262] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Accepted: 04/16/2020] [Indexed: 12/02/2022]
Abstract
Introduction: Some studies show that truck drivers use tobacco and other stimulants to stay awake as they drive. Despite their increased risks for many of tobacco-related health disparities, there is limited engagement of truck drivers in smoking cessation programs. The objective of this study was to describe smoking characteristics and identify their preferred smoking cessation methods among truck drivers. Methods: This was a cross-sectional mixed methods study. Participants were truck drivers recruited at trucking companies in Utah in 2019. Participants were either individually interviewed (n = 4), or filled out a survey (n = 33). We conducted qualitative data analysis of the interviews followed by descriptive statistics of smoking and cessation characteristics from the survey. Results: Reasons for smoking included, staying awake, stress reduction, or something to do while driving. Of the drivers surveyed, 68.8% were daily smokers while 97% had smoked at least 100 cigarettes in their life time. The mean number of cigarettes per day (cpd) was 15.7, and 25 among those who had 10 or more cpd. Sixty-one percent had made at least a quit attempt. In addition to counseling or brief advice, 68% reported interest in using Nicotine Replacement Therapy (NRT) either as gum or patch to help them quit. 21% reported interest in telephone text messaging to engage them in treatment. Conclusion: Cigarette smoking is a public health problem among truck drivers. Our findings suggest that truck drivers are interested in quitting smoking. Evidence based interventions tailored to this population are needed to help them quit and reduce their smoking-related morbidity.
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Affiliation(s)
- Robert Kagabo
- Department of Family and Preventive Medicine, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Matthew S Thiese
- The Rocky Mountain Center for Occupational and Environment Health, University of Utah, Salt Lake City, Utah, USA
| | - Emilee Eden
- The Rocky Mountain Center for Occupational and Environment Health, University of Utah, Salt Lake City, Utah, USA
| | - Andria Colvin Thatcher
- The Rocky Mountain Center for Occupational and Environment Health, University of Utah, Salt Lake City, Utah, USA
| | - Melissa Gonzalez
- The Rocky Mountain Center for Occupational and Environment Health, University of Utah, Salt Lake City, Utah, USA
| | - Kolawole Okuyemi
- Department of Family and Preventive Medicine, University of Utah School of Medicine, Salt Lake City, Utah, USA
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Jackson DB, Boccio CM, Leal WE. Do youth who vape exhibit risky health lifestyles? Monitoring the future, 2017. Prev Med 2020; 136:106101. [PMID: 32348854 DOI: 10.1016/j.ypmed.2020.106101] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2019] [Revised: 03/06/2020] [Accepted: 04/21/2020] [Indexed: 02/07/2023]
Abstract
Previous research links cigarette smoking with an array of unhealthy behaviors including poor diet, poor sleep quality, and reduced levels of physical exercise. To date, however, limited research has explored whether vaping nicotine (or marijuana) is associated with these same health risk behaviors. This paper addresses this gap in the literature by examining associations between vaping (nicotine or marijuana) and poor diet, poor sleep quality, and low levels of exercise in a sample of 7765 young adolescents (grades 8 and 10) enrolled in American schools in 2017. The data were analyzed in 2019. The results suggest that youths who vaped nicotine (or marijuana) did not exhibit significant elevations in risky health behavior outcomes relative to abstaining youths. Even so, cigarette smoking and recent use of marijuana through traditional means are significantly associated with risky health outcomes.
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Affiliation(s)
- Dylan B Jackson
- The University of Texas at San Antonio, United States of America.
| | - Cashen M Boccio
- The University of Texas at San Antonio, United States of America
| | - Wanda E Leal
- Texas A&M, San Antonio, United States of America
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Hägg SA, Ljunggren M, Janson C, Holm M, Franklin KA, Gislason T, Johannessen A, Jõgi R, Olin AC, Schlünssen V, Lindberg E. Smokers with insomnia symptoms are less likely to stop smoking. Respir Med 2020; 170:106069. [PMID: 32843184 DOI: 10.1016/j.rmed.2020.106069] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Revised: 06/16/2020] [Accepted: 06/17/2020] [Indexed: 11/18/2022]
Abstract
OBJECTIVES Smoking is associated with sleep disturbances. The aim of this study was to analyze whether sleep disturbances are predictors of smoking cessation and whether continued smoking is associated with the development of sleep disturbances. METHODS A questionnaire was sent to randomly selected men and women in Northern Europe in 1999-2001 (RHINE II) and was followed up by a questionnaire in 2010-2012 (RHINE III). The study population consisted of 2568 participants who were smokers at baseline and provided data on smoking at follow-up. Insomnia symptoms were defined as having difficulty initiating and/or maintaining sleep and/or early morning awakening ≥3 nights/week. Multiple logistic regression analyses were performed to calculate odds ratios (OR). RESULTS Subjects with difficulty initiating sleep (adjusted odds ratio; 95% confidence interval: 0.6; 0.4-0.8), difficulty maintaining sleep (0.7; 0.5-0.9), early morning awakening (0.6; 0.4-0.8), any insomnia symptom (0.6; 0.5-0.8) or excessive daytime sleepiness (0.7; 0.5-0.8) were less likely to achieve long-term smoking cessation after adjustment for age, BMI, pack-years, hypertension, diabetes, chronic bronchitis, rhinitis, asthma, gender and BMI difference. There was no significant association between snoring and smoking cessation. In subjects without sleep disturbance at baseline, continued smoking increased the risk of developing difficulty initiating sleep during the follow-up period compared with those that had quit smoking (adj. OR 1.7, 95% CI 1.2-2.3). CONCLUSIONS Insomnia symptoms and excessive daytime sleepiness negatively predict smoking cessation. Smoking is a risk factor for the development of difficulty initiating sleep. Treatment for sleep disturbances should be included in smoking-cessation programs.
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Affiliation(s)
- Shadi Amid Hägg
- Department of Medical Sciences, Respiratory, Allergy and Sleep Research, Uppsala University, Uppsala, Sweden.
| | - Mirjam Ljunggren
- Department of Medical Sciences, Respiratory, Allergy and Sleep Research, Uppsala University, Uppsala, Sweden
| | - Christer Janson
- Department of Medical Sciences, Respiratory, Allergy and Sleep Research, Uppsala University, Uppsala, Sweden
| | - Mathias Holm
- Department of Occupational and Environmental Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Karl A Franklin
- Department of Surgery and Perioperative Sciences, Surgery, Umeå University, Umeå, Sweden
| | - Thorarinn Gislason
- Department of Sleep, Landspitali University Hospital, Reykjavik, Iceland; Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Ane Johannessen
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway; Department of Occupational Medicine, Haukeland University Hospital, Bergen, Norway
| | - Rain Jõgi
- Lung Clinic, Tartu University Hospital, Tartu, Estonia
| | - Anna-Carin Olin
- Department of Occupational and Environmental Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Vivi Schlünssen
- Department of Public Health, Danish Ramazzini Centre, Aarhus University, Denmark; National Research Centre for the Working Environment, Copenhagen, Denmark
| | - Eva Lindberg
- Department of Medical Sciences, Respiratory, Allergy and Sleep Research, Uppsala University, Uppsala, Sweden
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Lee SY, Ju YJ, Lee JE, Kim YT, Hong SC, Choi YJ, Song MK, Kim HY. Factors associated with poor sleep quality in the Korean general population: Providing information from the Korean version of the Pittsburgh Sleep Quality Index. J Affect Disord 2020; 271:49-58. [PMID: 32312697 DOI: 10.1016/j.jad.2020.03.069] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2019] [Revised: 01/16/2020] [Accepted: 03/22/2020] [Indexed: 01/08/2023]
Abstract
BACKGROUND Recently, studies have been conducted to address the research gap in the understanding of poor-quality sleep and its relationship to health outcomes, through the evaluation of sleep quality. The aim of this study was to provide information regarding poor sleep quality based on a nationwide general population sample in Korea. METHODS We conducted a cross-sectional study using data from a nationwide sample of 165,193 individuals (males: 44%) aged 19 years or older from the 2018 Korea Community Health Survey. The age range of the participants was 19-107 years (mean: 55.3 ± 17.5). The Korean version of the Pittsburgh Sleep Quality Index (PSQI) was used for assessing sleep quality. Poor sleep quality was defined as a total PSQI score of >5. RESULTS The overall prevalence of poor sleepers was 41.0% (males: 35.6%; females: 46.2%). Poor sociodemographic status (illiteracy, low income, and unemployment), poor health behaviors (smoking, high-risk drinking, diabetes, hypertension, non-participation in walking, and obesity), and poor mental health (perceived poor health status, stress, depressive symptoms, and subjective cognitive decline) were all associated with poor sleep quality in both males and females. LIMITATIONS As this study relies on self-reported and cross-sectional data, causal inferences cannot be made. CONCLUSIONS Poor sleep quality is highly prevalent in females. In addition, poor socio-demographic status, poor health behaviors, and poor mental health were associated with poor sleep quality. The mechanisms underlying sex differences in sleep quality remain to be elucidated, and further studies are required to address this.
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Affiliation(s)
- Soon Young Lee
- Department of Preventive Medicine and Public Health, Ajou University School of Medicine, 206 World cup-ro, Yeongtong-gu, Suwon-si Gyeonggi-do 16499, Republic of Korea; Institute of Health Services Research, Yonsei University College of Medicine, Seoul, Republic of Korea.
| | - Yeong Jun Ju
- Department of Preventive Medicine and Public Health, Ajou University School of Medicine, 206 World cup-ro, Yeongtong-gu, Suwon-si Gyeonggi-do 16499, Republic of Korea; Institute of Health Services Research, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Joo Eun Lee
- Department of Preventive Medicine and Public Health, Ajou University School of Medicine, 206 World cup-ro, Yeongtong-gu, Suwon-si Gyeonggi-do 16499, Republic of Korea; Institute of Health Services Research, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Young Taek Kim
- Public Health Medical Service Office, Chungnam National University Hospital, Daejeon, Republic of Korea
| | - Seung Chul Hong
- Department of Psychiatry, St. Vincent's Hospital, College of Medicine, The Catholic University of Korea, Suwon, Republic of Korea
| | - Yun Jung Choi
- Division of Chronic Disease Control, Korea Centers for Disease Control and Prevention, Cheongju, Republic of Korea
| | - Min Kyoung Song
- Division of Chronic Disease Control, Korea Centers for Disease Control and Prevention, Cheongju, Republic of Korea
| | - Hye Yun Kim
- Division of Chronic Disease Control, Korea Centers for Disease Control and Prevention, Cheongju, Republic of Korea
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Shriane AE, Russell AMT, Ferguson SA, Rigney G, Vincent GE. Sleep hygiene in paramedics: What do they know and what do they do? Sleep Health 2020; 6:321-329. [PMID: 32507492 DOI: 10.1016/j.sleh.2020.04.001] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2019] [Revised: 04/04/2020] [Accepted: 04/05/2020] [Indexed: 01/23/2023]
Abstract
OBJECTIVES Shift workers routinely obtain inadequate sleep, which has major health and wellbeing consequences. Sleep hygiene describes a range of behaviours, lifestyle and environmental factors that can support optimal sleep. To date, limited research has examined sleep hygiene in shift workers. This study aimed to 1) assess the knowledge and understanding of sleep hygiene amongst shift working paramedics, as well as its perceived impact on sleep, and 2) investigate paramedics' engagement with sleep hygiene practices. STUDY DESIGN Participants completed an online, cross-sectional survey. PARTICIPANTS Queensland Ambulance Service paramedics (n = 184) who engage in shift work. MEASURES The online survey included questions from the Standard Shiftwork Index and Sleep Hygiene Index. RESULTS Most participants reported little or no understanding or knowledge of 'sleep hygiene' as a concept. Participants reported that sleep scheduling and bedroom environment (temperature, light, and noise) were the most impactful on sleep. Few participants reported nicotine and alcohol consumption, or daytime napping, whereas caffeine consumption and mentally-stimulating bedtime activities were more common. Participants who were young, single, and worked varying shift types (day, afternoon, and night) as part of their regular rosters demonstrated less knowledge regarding sleep hygiene, and were more likely to be exhibiting poor sleep hygiene engagement. CONCLUSIONS Paramedics demonstrated a limited level of understanding of sleep hygiene as a concept, and varied knowledge about the impacts of individual sleep hygiene factors. Further, paramedics demonstrated varied engagement with individual sleep hygiene practices. Future research should focus on the development of sleep hygiene interventions to optimise sleep in paramedics.
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Affiliation(s)
- Alexandra E Shriane
- School of Health, Medical and Applied Sciences, Appleton Institute, Central Queensland University, 44 Greenhill Road, Rockhampton, Wayville, Queensland 5034, Australia; Queensland Ambulance Service, Brisbane, Queensland, Australia.
| | - Alex M T Russell
- Experimental Gambling Research Laboratory, School and Health, Medical and Applied Sciences, Central Queensland University, Sydney, New South Wales, Australia
| | - Sally A Ferguson
- School of Health, Medical and Applied Sciences, Appleton Institute, Central Queensland University, 44 Greenhill Road, Rockhampton, Wayville, Queensland 5034, Australia
| | - Gabrielle Rigney
- School of Health, Medical and Applied Sciences, Appleton Institute, Central Queensland University, 44 Greenhill Road, Rockhampton, Wayville, Queensland 5034, Australia
| | - Grace E Vincent
- School of Health, Medical and Applied Sciences, Appleton Institute, Central Queensland University, 44 Greenhill Road, Rockhampton, Wayville, Queensland 5034, Australia
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Safa F, Chaiton M, Mahmud I, Ahmed S, Chu A. The association between exposure to second-hand smoke and sleep disturbances: A systematic review and meta-analysis. Sleep Health 2020; 6:702-714. [PMID: 32446663 DOI: 10.1016/j.sleh.2020.03.008] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2019] [Revised: 03/20/2020] [Accepted: 03/22/2020] [Indexed: 11/28/2022]
Abstract
OBJECTIVE To investigate the association between second-hand smoke (SHS) exposure and sleep disturbances by systematically reviewing the literature base and to quantify this association by conducting a meta-analysis. METHOD We did a systematic search of five databases- PubMed, Embase, CINAHL Plus, Web of Science - Core Collection, and Google Scholar. The primary outcomes were short sleep duration (SSD), poor sleep quality (PSQ), and excessive daytime sleepiness (EDS). RESULT Our systematic search yielded a total of 1623 studies. However, 12 studies qualified for qualitative synthesis and 11 studies (12 surveys) with adequate information were included in the meta-analysis involving 730,808 participants. All the studies were cross-sectional. We found an association between SHS exposure and SSD [pooled OR: 1.20 (95% CI, 1.09-1.33; p = 0.0003; I2= 68%), N = 7]; EDS [pooled OR: 1.07 (95% CI, 1.01-1.13; p = 0.02; I2 = 0%), N = 4]; and PSQ [pooled OR: 1.12 (95% CI, 1.01-1.23; p = 0.03; I2 = 79%), N = 10]. Subgroup analyses suggest significant association between SHS exposure and PSQ among adolescents. However, no such association was observed among adults. In addition, no significant association was observed between PSQ and SHS exposure when biomarker was used to identify SHS exposure. CONCLUSION This study is the first systematic review and meta-analysis to examine the association between SHS exposure and sleep outcomes. Self-reported exposure to SHS is positively associated with SSD, EDS, and PSQ, although the effects are modest. Further studies with robust methodology to ascertain exposure information are warranted to further elucidate the relationship between SHS exposure and sleep disturbances.
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Affiliation(s)
- Farhana Safa
- Department of Public Health, Dalla Lana School of Public Health, University of Toronto, Canada; Centre for Addiction and Mental Health (CAMH), Toronto, Canada.
| | - Michael Chaiton
- Department of Public Health, Dalla Lana School of Public Health, University of Toronto, Canada; Centre for Addiction and Mental Health (CAMH), Toronto, Canada; Ontario Tobacco Research Unit (OTRU), Toronto, Canada
| | - Ilias Mahmud
- Department of Public Health, College of Public Health and Health Informatics, Qassim University, Bukayriah, Saudi Arabia
| | - Shamim Ahmed
- Department of Public Health, Dalla Lana School of Public Health, University of Toronto, Canada
| | - Alanna Chu
- Department of Public Health, Dalla Lana School of Public Health, University of Toronto, Canada; Ontario Tobacco Research Unit (OTRU), Toronto, Canada
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Carone CMDM, Silva BDPD, Rodrigues LT, Tavares PDS, Carpena MX, Santos IS. [Factors associated with sleep disorders in university students]. CAD SAUDE PUBLICA 2020; 36:e00074919. [PMID: 32215511 DOI: 10.1590/0102-311x00074919] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2019] [Accepted: 09/06/2019] [Indexed: 11/22/2022] Open
Abstract
The objective was to investigate sleep disorders and associated sociodemographic and behavioral factors. A census of university students was carried out. Questions extracted from the Munich Chronotype Questionnaire investigated: insufficient sleep duration (< 6 hours/day for < 65 years and < 5 hours/day for other ages), long latency (> 30 minutes), low self-rated sleep quality, nocturnal awakenings (involuntary, in the middle of the night), and daytime sleepiness (difficulty concentrating). Independent variables included sociodemographic and behavioral characteristics. Adjusted analyses were performed with Poisson regression. Of the 1,865 students, 32% exhibited insufficient sleep on class days, 8.2% insufficient sleep on weekends, 18.6% long latency on class days, 17.2% long latency on weekends, 30% low self-rated sleep quality, 12.7% nocturnal awakenings, and 32.2% daytime sleepiness. Higher alcohol consumption was associated with insufficient sleep duration and long latency on class days, low quality sleep, awakenings, and daytime sleepiness. Smoking was associated with insufficient sleep duration on weekends, awakenings, and low-quality sleep. Black and brown skin color were associated with insufficient sleep duration on class days, low-quality sleep, and awakenings. Morning classes were associated with insufficient sleep and daytime sleepiness. Female gender was associated with low-quality sleep and awakenings. The most frequent sleep disorders were insufficient sleep on class days, low self-rated quality of sleep, and daytime sleepiness. Alcohol consumption and smoking and black and brown skin color were the principal factors associated with sleep disorders.
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Affiliation(s)
| | | | | | | | | | - Iná S Santos
- Universidade Federal de Pelotas, Pelotas, Brasil
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Marta OFD, Kuo SY, Bloomfield J, Lee HC, Ruhyanudin F, Poynor MY, Brahmadhi A, Pratiwi ID, Aini N, Mashfufa EW, Hasan F, Chiu HY. Gender differences in the relationships between sleep disturbances and academic performance among nursing students: A cross-sectional study. NURSE EDUCATION TODAY 2020; 85:104270. [PMID: 31786485 DOI: 10.1016/j.nedt.2019.104270] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/21/2019] [Revised: 09/05/2019] [Accepted: 11/09/2019] [Indexed: 06/10/2023]
Abstract
BACKGROUND Sleep disturbances, such as insomnia, excessive daytime sleepiness, and poor-quality sleep, are common among nursing students and are closely linked with academic performance. OBJECTIVES To examine the prevalence of sleep disturbances and academic performances in male and female nursing students and to determine gender-specific effects on the relationship between sleep disturbances and academic performance. DESIGN A cross-sectional study design was adopted. SETTINGS This study was conducted in a school of nursing in Indonesia. PARTICIPANTS A total of 492 undergraduate students (103 males and 389 females) were included. METHODS Data pertaining to the biosociodemographic characteristics, Pittsburgh Sleep Quality Index, Insomnia Severity Index, Epworth Sleepiness Scale, Morningness-Eveningness Questionnaire, and Beck Depression Inventory were collected from July 1, 2018 to September 30, 2018. Academic performance was measured using grade point average of the academic year 2017-2018. A multivariate logistic regression model was used for data analyses. RESULTS The prevalence of poor sleep quality, insomnia, and daytime sleepiness was 66.0%, 45.6%, and 24.3%, respectively, in male nursing students and 71.5%, 52.4%, and 28.8%, respectively, in female nursing students. For circadian rhythm preferences, 66% male and 51.7% female nursing students were categorized as intermediate- and morning-type people, respectively. Insomnia was the only variable among sleep disturbances that significantly correlated with the risk of poor academic performance in female nursing students even after adjustment of covariates. CONCLUSIONS Sleep disturbances were highly prevalent among female and male nursing students, and insomnia was substantially associated with poor academic performance in female nursing students. Identifying sleep disturbances among nursing students and designing effective interventions to specifically target them are required to improve academic performance of female nursing students.
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Affiliation(s)
- Ollyvia Freeska Dwi Marta
- School of Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan; Nursing Department, Faculty of Health Science, University of Muhammadiyah Malang, Indonesia
| | - Shu-Yu Kuo
- School of Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan
| | - Jacqueline Bloomfield
- Susan Wakil School of Nursing and Midwifery, The Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
| | - Hsin-Chien Lee
- Department of Psychiatry, Taipei Medical University Shuang Ho Hospital, New Taipei City, Taiwan; Research Center of Sleep Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Faqih Ruhyanudin
- Nursing Department, Faculty of Health Science, University of Muhammadiyah Malang, Indonesia
| | - Mia Yuangi Poynor
- Dornsife College of Arts, Letters, and Sciences, University of Southern California, United States of America
| | - Ageng Brahmadhi
- International PhD Program for Cell Therapy and Regeneration Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; Faculty of Medicine, University of Muhammadiyah Purwokerto, Indonesia
| | - Indah Dwi Pratiwi
- Nursing Department, Faculty of Health Science, University of Muhammadiyah Malang, Indonesia
| | - Nur Aini
- Nursing Department, Faculty of Health Science, University of Muhammadiyah Malang, Indonesia
| | - Erma Wahyu Mashfufa
- Nursing Department, Faculty of Health Science, University of Muhammadiyah Malang, Indonesia
| | - Faizul Hasan
- School of Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan; School of Nursing, State Health Polytechnic of Malang, Indonesia
| | - Hsiao-Yean Chiu
- School of Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan; Research Center of Sleep Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.
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HACIMUSALAR YUNUS, KARAASLAN OZGUL. Assessment of sleep quality of patients with panic disorder and generalized anxiety disorder during remission: a case-control study. ACTA ACUST UNITED AC 2020. [DOI: 10.1590/0101-60830000000224] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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Patterson F, Grandner MA, Malone SK, Rizzo A, Davey A, Edwards DG. Sleep as a Target for Optimized Response to Smoking Cessation Treatment. Nicotine Tob Res 2020; 21:139-148. [PMID: 29069464 DOI: 10.1093/ntr/ntx236] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2017] [Accepted: 10/19/2017] [Indexed: 12/23/2022]
Abstract
Declining national rates of current tobacco use to an all-time low of 15.1% represents a public health victory. Undermining this progress, however, are smoking rates of up to 50% among high-risk, low-income populations. Current FDA-approved treatments for nicotine dependence are ineffective with between 70-95% of treatment-seekers relapsing within the first year of attempted abstinence. Thus, identification of novel intervention targets to optimize response to currently available treatments for nicotine dependence is a critical next step. One such target may be sleep insomnia. Insomnia is a clinically verified nicotine withdrawal symptom but, to date, addressing insomnia or other sleep disturbance symptoms as an adjunctive smoking cessation therapy has yet to be fully considered. To this end, this manuscript presents a narrative review of: (1) sleep continuity and architecture in smokers versus nonsmokers; (2) effects of nicotine abstinence on sleep; (3) possible mechanisms linking sleep with smoking cessation outcomes; (4) plausible adjunctive sleep therapies to promote smoking cessation; (5) possible treatments for unhealthy sleep in smokers; and (6) directions for future research. Taken together, this will provide conceptual support for sleep therapy as an adjunctive treatment for smoking cessation. Implications This narrative literature review presents a comprehensive discussion of the relationship between habitual sleep and cigarette smoking. The extent to which unhealthy sleep in smokers may be a viable intervention target for promoting response to smoking cessation treatment is considered. Ultimately, this review provides conceptual support for sleep therapy as an adjunctive treatment for smoking cessation.
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Affiliation(s)
- Freda Patterson
- College of Health Sciences, University of Delaware, Newark, DE
| | - Michael A Grandner
- Sleep and Health Research Program, Department of Psychiatry, University of Arizona College of Medicine, Tucson, AZ
| | - Susan K Malone
- Center for Sleep and Circadian Neurobiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Albert Rizzo
- Christiana Care Health System, Pulmonary and Critical Care Medicine, Newark, DE
| | - Adam Davey
- College of Health Sciences, University of Delaware, Newark, DE
| | - David G Edwards
- College of Health Sciences, University of Delaware, Newark, DE
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Li H, Liu Y, Xing L, Yang X, Xu J, Ren Q, Su KP, Lu Y, Wang F. Association of Cigarette Smoking with Sleep Disturbance and Neurotransmitters in Cerebrospinal Fluid. Nat Sci Sleep 2020; 12:801-808. [PMID: 33122957 PMCID: PMC7591043 DOI: 10.2147/nss.s272883] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Accepted: 09/14/2020] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Cigarette smoking has shown to be associated with sleep disturbance, especially prolonged sleep onset latency (SOL). Cigarette smoking stimulates the release of dopamine (DA) and serotonin (5-HT), which might promote awakening and inhibit rapid eye movement sleep. Dopamine transporter (DAT) and serotonin transporter play a key role in the reuptake of DA and 5-HT from the synaptic cleft into presynaptic neurons. However, the relationship among cigarette smoking, sleep disturbance and neurotransmitters has never been investigated in human cerebrospinal fluid (CSF). METHODS A total of 159 Chinese male subjects (81 active smokers and 78 non-smokers) who would undergo lumbar puncture before the surgery of anterior cruciate ligament reconstruction were recruited and 5mL-CSF samples were collected incidentally. CSF levels of DA, DAT, 5-HT, and serotonin transporter were measured using radioimmunoassay and ELISA. Sociodemographic data and the Pittsburgh Sleep Quality Index (PSQI) scale were collected before surgery. RESULTS PSQI global scores, SOL, and CSF DA levels were significantly higher in active smokers compared to non-smokers (2.00 [1.00-4.75] scores vs 4.00 [3.00-6.00] scores, p = 0.001; 10.00 [5.00-15.00] minutes vs 15.00 [10.00-30.00] minutes, p = 0.002; 87.20 [82.31-96.06]ng/mL vs 107.45 [92.78-114.38] ng/mL, p < 0.001), while CSF DAT levels were significantly lower in active smokers (0.35 [0.31-0.39] ng/mL vs 0.29 [0.26-0.34] ng/mL, p < 0.001). CONCLUSION Cigarette smoking was indeed associated with sleep disturbance, shown by prolonged SOL, higher DA levels and lower DAT levels in CSF of active smokers.
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Affiliation(s)
- Hui Li
- Department of Biomedical Engineering, College of Engineering, Peking University, Beijing 100871, People's Republic of China.,Xinjiang Key Laboratory of Neurological Disorder Research, The Second Affiliated Hospital, Xinjiang Medical University, Urumqi 830063, People's Republic of China.,Psychosomatic Medicine Research Division, Inner Mongolia Medical University, Huhhot 010110, People's Republic of China
| | - Yanlong Liu
- Zhuji Institute of Biomedicine, School of Pharmaceutical Sciences, Wenzhou Medical University, Shaoxing 311800, People's Republic of China.,School of Mental Health, Wenzhou Medical University, Wenzhou, 325035, People's Republic of China.,The Affiliated Kangning Hospital, Wenzhou Medical University, Wenzhou 325035, People's Republic of China
| | - Lifei Xing
- Department of Neurology, Inner Mongolia North Heavy Industries Group Corp. Ltd Hospital, Baotou 014030, People's Republic of China
| | - Xiaoyu Yang
- Beijing Jishuitan Hospital, Beijing 100035, People's Republic of China
| | - Jinzhong Xu
- The Affiliated Wenling Hospital of Wenzhou Medical University, Wenling 317500, People's Republic of China
| | - Qiushi Ren
- Department of Biomedical Engineering, College of Engineering, Peking University, Beijing 100871, People's Republic of China
| | - Kuan-Pin Su
- Zhuji Institute of Biomedicine, School of Pharmaceutical Sciences, Wenzhou Medical University, Shaoxing 311800, People's Republic of China.,An-Nan Hospital, China Medical University, Tainan, Taiwan.,College of Medicine, China Medical University, Taichung, Taiwan
| | - Yanye Lu
- Department of Biomedical Engineering, College of Engineering, Peking University, Beijing 100871, People's Republic of China
| | - Fan Wang
- Xinjiang Key Laboratory of Neurological Disorder Research, The Second Affiliated Hospital, Xinjiang Medical University, Urumqi 830063, People's Republic of China.,Psychosomatic Medicine Research Division, Inner Mongolia Medical University, Huhhot 010110, People's Republic of China.,Beijing Hui-Long-Guan Hospital, Peking University, Beijing 100096, People's Republic of China
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Alqaderi H, Goodson JM, Agaku I. Association between sleep and severe periodontitis in a nationally representative adult US population. J Periodontol 2019; 91:767-774. [DOI: 10.1002/jper.19-0105] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2019] [Revised: 09/10/2019] [Accepted: 09/27/2019] [Indexed: 01/05/2023]
Affiliation(s)
- Hend Alqaderi
- Department of Oral Health Policy and EpidemiologyHarvard School of Dental Medicine Boston MA
- The Forsyth Institute Cambridge MA
| | | | - Israel Agaku
- Department of Oral Health Policy and EpidemiologyHarvard School of Dental Medicine Boston MA
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50
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Spadola CE, Guo N, Johnson DA, Sofer T, Bertisch SM, Jackson CL, Rueschman M, Mittleman MA, Wilson JG, Redline S. Evening intake of alcohol, caffeine, and nicotine: night-to-night associations with sleep duration and continuity among African Americans in the Jackson Heart Sleep Study. Sleep 2019; 42:zsz136. [PMID: 31386152 PMCID: PMC6802565 DOI: 10.1093/sleep/zsz136] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2019] [Revised: 04/12/2019] [Indexed: 12/28/2022] Open
Abstract
STUDY OBJECTIVES We examined the night-to-night associations of evening use of alcohol, caffeine, and nicotine with actigraphically estimated sleep duration, sleep efficiency, and wake after sleep onset (WASO) among a large cohort of African American adults. METHODS Participants in the Jackson Heart Sleep Study underwent wrist actigraphy for an average of 6.7 nights and completed concurrent daily sleep diary assessments to record any consumption of alcohol, caffeine, and nicotine within 4 hours of bedtime. Linear mixed-effect models were fit and adjusted for age, sex, educational attainment, body mass index, depression, anxiety, stress, and having work/school the next day. RESULTS Eligible participants (n = 785) were an average of 63.7 years (SD: 10.6), and were predominantly female (67.9%). There were 5164 days of concurrent actigraphy and sleep diary data. Evening alcohol use was associated with that night's lower sleep efficiency (-0.98% [95% CI: -1.67% to -0.29%], p = 0.005), but not with WASO or sleep duration. Evening nicotine use was associated with that night's lower sleep efficiency [1.74% (95% CI: -2.79 to -0.68), p = 0.001] and 6.09 minutes higher WASO ([95% CI: 0.82 to 11.35], p = 0.02), but was not associated with sleep duration. Evening caffeine use was not associated with any of the sleep parameters. CONCLUSION Nicotine and alcohol use within 4 hours of bedtime were associated with increased sleep fragmentation in the associated night, even after controlling for multiple potential confounders. These findings support the importance of sleep health recommendations that promote the restriction of evening alcohol and nicotine use to improve sleep continuity.
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Affiliation(s)
- Christine E Spadola
- Phyllis and Harvey Sandler School of Social Work, Florida Atlantic University, Boca Raton, FL
| | - Na Guo
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA
| | | | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA
| | - Suzanne M Bertisch
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA
| | - Chandra L Jackson
- Epidemiology Branch, National Institute of Environmental Health Services, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC
- Intramural Program, National Institute of Minority Health and Health Disparities, National Institutes of Health, Department of Health and Human Services, Bethesda, MD
| | - Michael Rueschman
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA
| | - Murray A Mittleman
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
| | - James G Wilson
- Mississippi Center for Clinical and Translational Research, University of Mississippi Medical Center, Jackson, MS
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA
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