1
|
Liu L, Zhen J, Liu S, Ren L, Zhao G, Liang J, Xu A, Li C, Wu J, Cheung BMY. Association between sleep patterns and galectin-3 in a Chinese community population. BMC Public Health 2024; 24:1323. [PMID: 38755574 PMCID: PMC11097462 DOI: 10.1186/s12889-024-18811-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Accepted: 05/09/2024] [Indexed: 05/18/2024] Open
Abstract
BACKGROUND Irregular sleep patterns have been associated with inflammation. Galectin-3, a novel biomarker, plays an important role in inflammation. We investigated the relationship between sleep patterns and galectin-3 in a Chinese population. METHODS A total of 1,058 participants from the Shenzhen-Hong Kong United Network on Cardiovascular Disease study were included in the analysis. Age and sex-adjusted linear regression models were employed to investigate the relationship between galectin-3 level and traditional metabolic biomarkers. Logistic regression models were used to estimate the association among sleep disturbance, nighttime sleep duration, and daytime napping duration and elevated galectin-3, with elevated galectin-3 defined as galectin-3 level > 65.1 ng/ml. RESULTS Of study participants, the mean age was 45.3 years and 54.3% were women. Waist circumference, natural logarithm (ln)-transformed triglyceride, and ln-transformed high sensitivity C-reactive protein were positively associated with galectin-3 level (age and sex-adjusted standardized β [95% confidence interval (CI)], 0.12 [0.04, 0.21], 0.11 [0.05, 0.17], and 0.08 [0.02, 0.14], respectively). Sleep disturbance was associated with elevated galectin-3 (odds ratio [95% CI], 1.68 [1.05, 2.68], compared to those without sleep disturbance) after adjusting for traditional metabolic biomarkers. No interaction was observed between galectin-3 and age, sex, obesity, hypertension, and diabetes on sleep disturbance. No association was found between nighttime sleep duration or daytime napping duration and elevated galectin-3. CONCLUSIONS Our study provides evidence of a significant association between sleep disturbance and elevated galectin-3 level, independent of traditional metabolic biomarkers. Screening and interventions on galectin-3 could assist in preventing sleep disturbance-induced inflammatory disease.
Collapse
Affiliation(s)
- Lin Liu
- Department of Medicine, School of Clinical Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong SAR, China
| | - Juanying Zhen
- Department of Medicine, School of Clinical Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong SAR, China
- Department of Neurology, Peking University Shenzhen Hospital, Shenzhen, China
| | - Shuyun Liu
- Department of Neurology, Shenzhen Longhua District Central Hospital, Shenzhen, China
| | - Lijie Ren
- Department of Neurology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China
| | - Guoru Zhao
- CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Research Center for Neural Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Jianguo Liang
- Precision Health Research Center Company Limited, Hong Kong SAR, China
| | - Aimin Xu
- Department of Medicine, School of Clinical Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong SAR, China
- State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Chao Li
- Department of Medicine, School of Clinical Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong SAR, China
- Department of Neurology, Peking University Shenzhen Hospital, Shenzhen, China
- State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Jun Wu
- Department of Neurology, Peking University Shenzhen Hospital, Shenzhen, China.
| | - Bernard Man Yung Cheung
- Department of Medicine, School of Clinical Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong SAR, China.
- State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Pokfulam, Hong Kong SAR, China.
- Institute of Cardiovascular Science and Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China.
| |
Collapse
|
2
|
Liu H, Wu Y, Zhu H, Wang P, Chen T, Xia A, Zhao Z, He D, Chen X, Xu J, Ji L. Association between napping and type 2 diabetes mellitus. Front Endocrinol (Lausanne) 2024; 15:1294638. [PMID: 38590820 PMCID: PMC10999583 DOI: 10.3389/fendo.2024.1294638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 03/12/2024] [Indexed: 04/10/2024] Open
Abstract
As the incidence of type 2 diabetes mellitus (T2DM) is increasing rapidly and its consequences are severe, effective intervention and prevention, including sleep-related interventions, are urgently needed. As a component of sleep architecture, naps, alone or in combination with nocturnal sleep, may influence the onset and progression of T2DM. Overall, napping is associated with an increased risk of T2DM in women, especially in postmenopausal White women. Our study showed that napping >30 minutes (min) increased the risk of T2DM by 8-21%. In addition, non-optimal nighttime sleep increases T2DM risk, and this effect combines with the effect of napping. For nondiabetic patients, napping >30 min could increase the risks of high HbA1c levels and impaired fasting glucose (IFG), which would increase the risk of developing T2DM later on. For diabetic patients, prolonged napping may further impair glycemic control and increase the risk of developing diabetic complications (e.g., diabetic nephropathy) in the distant future. The following three mechanisms are suggested as interpretations for the association between napping and T2DM. First, napping >30 min increases the levels of important inflammatory factors, including interleukin 6 and C-reactive protein, elevating the risks of inflammation, associated adiposity and T2DM. Second, the interaction between postmenopausal hormonal changes and napping further increases insulin resistance. Third, prolonged napping may also affect melatonin secretion by interfering with nighttime sleep, leading to circadian rhythm disruption and further increasing the risk of T2DM. This review summarizes the existing evidence on the effect of napping on T2DM and provides detailed information for future T2DM intervention and prevention strategies that address napping.
Collapse
Affiliation(s)
- Hongyi Liu
- School of Public Health, Health Science Center, Ningbo University, Ningbo, Zhejiang, China
| | - Yingxin Wu
- School of Public Health, Health Science Center, Ningbo University, Ningbo, Zhejiang, China
| | - Hui Zhu
- Department of Internal Medicine, Health Science Center, Ningbo University, Ningbo, Zhejiang, China
| | - Penghao Wang
- School of Public Health, Health Science Center, Ningbo University, Ningbo, Zhejiang, China
| | - Tao Chen
- School of Public Health, Health Science Center, Ningbo University, Ningbo, Zhejiang, China
| | - Anyu Xia
- Department of Clinical Medicine, Health Science Center, Ningbo University, Ningbo, Zhejiang, China
| | - Zhijia Zhao
- School of Public Health, Health Science Center, Ningbo University, Ningbo, Zhejiang, China
| | - Da He
- Department of Obstetrics and Gynecology, Yinzhou District Maternal and Child Health Care Institute, Ningbo, Zhejiang, China
| | - Xiang Chen
- Department of Obstetrics and Gynecology, Yinzhou District Maternal and Child Health Care Institute, Ningbo, Zhejiang, China
| | - Jin Xu
- School of Public Health, Health Science Center, Ningbo University, Ningbo, Zhejiang, China
- Zhejiang Key Laboratory of Pathophysiology, Health Science Center, Ningbo University, Ningbo, China
| | - Lindan Ji
- Zhejiang Key Laboratory of Pathophysiology, Health Science Center, Ningbo University, Ningbo, China
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Health Science Center, Ningbo University, Ningbo, Zhejiang, China
| |
Collapse
|
3
|
Liu M, Liu M, Wang S, Sun Y, Zhou F, Sun H. Relationship between daytime napping with the occurrence and development of diabetes: a systematic review and meta-analysis. BMJ Open 2023; 13:e068554. [PMID: 37739471 PMCID: PMC10533785 DOI: 10.1136/bmjopen-2022-068554] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Accepted: 08/30/2023] [Indexed: 09/24/2023] Open
Abstract
OBJECTIVE To determine the relationship of napping with incident diabetes risk and glycaemic control in people with diabetes. DESIGN Systematic review and meta-analysis. DATA SOURCES MEDLINE (PubMed), EMBASE, Web of Science and the Cochrane Library were searched for studies published from database inception to 9 May 2023. ELIGIBILITY CRITERIA Observational studies reporting the relationship of napping with diabetes or glycaemic control in patients with diabetes in adult populations were included. DATA EXTRACTION AND SYNTHESIS Two reviewers independently screened the literature, extracted data and assessed the quality of the included studies. The results were reported as ORs and 95% CIs, which were pooled by using fixed and random effects models, and subgroup analyses were performed. The Grading of Recommendations Assessment, Development and Evaluation method was used to assess the quality of the evidence. RESULTS Forty studies were included in our review. Habitual napping was associated with an increased diabetes risk (OR 1.20, 95% CI 1.14 to 1.27) and poor glycaemic control in patients with diabetes (OR 2.05, 95% CI 1.55 to 2.73). Nap durations less than 30 min were unrelated to diabetes (OR 1.05, 95% CI 0.97 to 1.14). Nap durations of 30-60 min were associated with diabetes risk (OR 1.09, 95% CI 1.02 to 1.17), but there were differences in the subgroup analysis results. Nap durations of more than 60 min significantly increased the risk of diabetes (OR 1.31, 95% CI 1.20 to 1.44). CONCLUSIONS Napping is associated with increased diabetes risk and poor glycaemic control, and future research will need to confirm whether there are sex and regional differences. Nap durations of more than 60 min significantly increases the risk of diabetes, and the relationship between nap duration and glycaemic control in patients with diabetes needs to be further explored in the future. PROSPERO REGISTRATION NUMBER CRD42021292103.
Collapse
Affiliation(s)
- Mengdie Liu
- School of Nursing, Xuzhou Medical University, Xuzhou, China
| | - Minhui Liu
- School of Nursing, Central South University Xiangya, Changsha, Hunan, China
| | - Shuo Wang
- School of Nursing, Xuzhou Medical University, Xuzhou, China
| | - Yumei Sun
- School of Nursing, Peking University, Beijing, China
| | - Fang Zhou
- School of Nursing, Xuzhou Medical University, Xuzhou, China
| | - Hongyu Sun
- School of Nursing, Peking University, Beijing, China
| |
Collapse
|
4
|
Dai J, Wu HY, Jiang XD, Tang YJ, Tang HK, Meng L, Huang N, Gao JY, Li J, Baker JS, Zheng CJ, Yang YD. Association between napping and 24-hour blood pressure variability among university students: A pilot study. Front Pediatr 2023; 11:1062300. [PMID: 36937964 PMCID: PMC10018217 DOI: 10.3389/fped.2023.1062300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Accepted: 02/10/2023] [Indexed: 03/06/2023] Open
Abstract
Background Blood pressure variability (BPV) has been reported to be a predictor of cardiovascular and some cognitive diseases. However, the association between napping and BPV remains unknown. This study aimed to explore the association between napping and BPV. Materials and methods A cross-sectional study including 105 university students was conducted. Participants' 24 h ambulatory blood pressure monitoring (24 h ABPM) were measured, and napping behaviors were investigated. BPV were measured by the 24 h ABPM, included standard deviation (SD), coefficient of variation (CV), and average real variability (ARV). Results Among the participants, 61.9% reported daytime napping. We found that nap duration was significantly associated with daytime CV of diastolic blood pressure (DBP) (r = 0.250, P = 0.010), nighttime CV of systolic blood pressure (SBP) (r = 0.217, P = 0.026), 24 h WCV of DBP (r = 0.238, P = 0.014), 24 h ARV of SBP (r = 0.246, P = 0.011) and 24 h ARV of DBP (r = 0.291, P = 0.003). Compared with the no napping group, 24 h WCV of DBP, daytime CV of DBP, and daytime SD of DBP were significantly higher in participants with napping duration >60 min. With multiple regression analysis we found that nap duration was an independent predictor for 24 h ARV of SBP (β = 0.859, 95% CI, 0.101-1.616, P = 0.027) and 24 h ARV of DBP (β = 0.674, 95% CI, 0.173-1.175, P = 0.009). Conclusions Napping durations are associated with BPV among university students. Especially those with napping durations >60 min had a significantly higher BPV than those non-nappers.
Collapse
Affiliation(s)
- Jie Dai
- Department of Child and Adolescent Health, School of Medicine, Hunan Normal University, Changsha, China
- Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha, China
| | - Hua-ying Wu
- Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha, China
| | - Xiao-dong Jiang
- Department of Child and Adolescent Health, School of Medicine, Hunan Normal University, Changsha, China
- Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha, China
| | - Yong-jie Tang
- Department of Child and Adolescent Health, School of Medicine, Hunan Normal University, Changsha, China
- Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha, China
| | - Hao-Kai Tang
- Department of Child and Adolescent Health, School of Medicine, Hunan Normal University, Changsha, China
- Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha, China
| | - Li Meng
- Department of Child and Adolescent Health, School of Medicine, Hunan Normal University, Changsha, China
- Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha, China
| | - Na Huang
- Department of Child and Adolescent Health, School of Medicine, Hunan Normal University, Changsha, China
- Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha, China
| | - Jing-yu Gao
- Department of Child and Adolescent Health, School of Medicine, Hunan Normal University, Changsha, China
- Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha, China
| | - Jian Li
- Key Laboratory of Study and Discovery of Small Targeted Molecules of Hunan Province, School of Medicine, Hunan Normal University, Changsha, China
| | - Julien S. Baker
- Centre for Health and Exercise Science Research, Department of Sport, Physical Education and Health, Hong Kong Baptist University, Hong Kong, Hong Kong SAR, China
| | - Chan-Juan Zheng
- Department of Child and Adolescent Health, School of Medicine, Hunan Normal University, Changsha, China
- Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha, China
- Correspondence: Yi-De Yang Chan-Juan Zheng
| | - Yi-De Yang
- Department of Child and Adolescent Health, School of Medicine, Hunan Normal University, Changsha, China
- Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha, China
- Correspondence: Yi-De Yang Chan-Juan Zheng
| |
Collapse
|
5
|
Tang D, Zhou Y, Long C, Tang S. The Association of Midday Napping With Hypertension Among Chinese Adults Older Than 45 Years: Cross-sectional Study. JMIR Public Health Surveill 2022; 8:e38782. [PMID: 36279195 PMCID: PMC9727692 DOI: 10.2196/38782] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Revised: 10/21/2022] [Accepted: 10/22/2022] [Indexed: 11/07/2022] Open
Abstract
BACKGROUND Hypertension is one of the main public health issues around worldwide, and midday napping is a popular habit. The association between the two remains to be explored. OBJECTIVE The goal of the research was to explore the association of midday napping with hypertension. METHODS This study separately selected 11,439, 12,689, and 9464 Chinese respondents aged over 45 years from the China Health and Retirement Longitudinal Study 2011, 2015, and 2018 data sets. Binary logistic regression was used to explore the association of midday napping with hypertension, and the 3-step method was used to test the mediation effect of BMI. RESULTS Among all respondents, the prevalence rates of hypertension were 24.6% (2818/11439) in 2011, 21.1% (2683/12689) in 2015, and 22.1% (2092/9464) in 2018. Midday napping was positively correlated with hypertension. In 2011 and 2015, napping 60 to 90 minutes had the greatest odds ratios [OR] (OR2011 1.705, OR2015 1.494). In 2018, the biggest OR came from the group napping 30 to 60 minutes (OR 1.223), and ORs of different napping durations decreased from 2011 to 2018. In addition, BMI had a partial mediation effect in 2015 and 2018. CONCLUSIONS Midday napping is a potential risk factor for hypertension with BMI acting as a mediator. To prevent hypertension, avoiding prolonged duration of midday napping and taking action to maintain a normal BMI level are recommended.
Collapse
Affiliation(s)
- Dongfeng Tang
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Institute for Hospital Management, Tsinghua University, Shenzhen, China
| | - Yiheng Zhou
- College of Medical, Veterinary, and Life Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Chengxu Long
- Department of Global Health and Social Medicine, King's College London, London, United Kingdom
| | - Shangfeng Tang
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Research Center for Rural Health Service, Key Research Institute of Humanities and Social Sciences of Hubei Provincial Department of Education, Wuhan, China
| |
Collapse
|
6
|
Zhang Y, Xie Y, Huang L, Zhang Y, Li X, Fang Q, Wang Q. Association of Sleep Duration and Self-Reported Insomnia Symptoms with Metabolic Syndrome Components among Middle-Aged and Older Adults. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:11637. [PMID: 36141918 PMCID: PMC9517288 DOI: 10.3390/ijerph191811637] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Revised: 09/08/2022] [Accepted: 09/09/2022] [Indexed: 06/16/2023]
Abstract
The study aimed to explore the association between sleep duration, insomnia symptoms and the components of metabolic syndrome (MetS) among middle-aged and older adults. A cross-sectional study was conducted in five community health centers and physical check-up centers of two comprehensive hospitals in Guangdong. We recruited 1252 participants (658 female), aged 40-96 years and with a body mass index (BMI) of 16.26-35.56 kg/m2. MetS was assessed based on the guidelines of the International Diabetes Federation. Self-reported sleep duration was evaluated by a simplified questionnaire. Compared with the participants who slept 6-8 h/day, those who slept shorter (<6 h/day) or longer (>8 h/day) periods of time with or without insomnia symptoms had significantly increased odds ratios (ORs) of high blood pressure (except for the SBP in model 2) and high triglycerides (TGs) in all models (p < 0.05), whereas the participants who slept longer (>8 h/day) or shorter (<6 h/day) periods of time with insomnia symptoms had significantly increased ORs of low HDL-C in all models (p < 0.05), but non-significant in those without insomnia symptoms. BMI is significant for insomnia symptoms but not for sleep duration. Our study indicated that the association of sleep duration with MetS components was partially associated with insomnia symptoms. These findings have significant implications to explore the appropriate sleep duration for adults.
Collapse
Affiliation(s)
- Yuting Zhang
- Health Science Centre, Shenzhen University, Shenzhen 518060, China
| | - Yingcai Xie
- Department of Endocrinology, Affiliated Hospital of Guangdong Medical University, Zhanjiang 524000, China
| | - Lingling Huang
- Health Science Centre, Shenzhen University, Shenzhen 518060, China
| | - Yan Zhang
- Health Science Centre, Shenzhen University, Shenzhen 518060, China
| | - Xilin Li
- Health Science Centre, Shenzhen University, Shenzhen 518060, China
| | - Qiyu Fang
- Health Science Centre, Shenzhen University, Shenzhen 518060, China
| | - Qun Wang
- Health Science Centre, Shenzhen University, Shenzhen 518060, China
| |
Collapse
|
7
|
Sun J, Ma C, Zhao M, Magnussen CG, Xi B. Daytime napping and cardiovascular risk factors, cardiovascular disease, and mortality: A systematic review. Sleep Med Rev 2022; 65:101682. [PMID: 36027794 DOI: 10.1016/j.smrv.2022.101682] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 07/20/2022] [Accepted: 07/26/2022] [Indexed: 10/15/2022]
Abstract
Associations between night sleep duration and cardiovascular risk factors in adults have been well documented. However, the associations for daytime napping remain unclear. In this review, six databases were searched for eligible publications to April 8, 2022. A total of 11 articles were identified for umbrella review on the association of daytime napping with diabetes, metabolic syndrome (MetS), cardiovascular disease (CVD), and mortality in adults, 97 for systematic review on the association with CVD and several CVD risk factors. Our umbrella review showed that the associations of daytime napping with diabetes, MetS, CVD, and mortality in most meta-analyses were mainly supported by weak or suggestive evidence. Our systematic review showed that long daytime napping (≥1 h/d) was associated with higher odds of several CVD risk factors, CVD, and mortality, but no significant association was found between short daytime napping and most of the abovementioned outcomes. Our dose-response meta-analyses showed that daytime napping <30 min/d was not significantly associated with higher odds of most CVD risk factors and CVD among young and middle-aged adults. However, among older adults aged >60 years, we observed significant dose-response associations of daytime napping with higher odds of diabetes, dyslipidemia, MetS, and mortality starting from 0 min/d.
Collapse
Affiliation(s)
- Jiahong Sun
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Chuanwei Ma
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Min Zhao
- Department of Nutrition and Food Hygiene, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Costan G Magnussen
- Baker Heart and Diabetes Institute, Melbourne, Australia; Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland; Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Bo Xi
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
| |
Collapse
|