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Jiang M, Sui R, Wu X. Association between sleep quality and duration during pregnancy and risk of gestational diabetes: A systematic review and meta-analysis. Gynecol Endocrinol 2024; 40:2391925. [PMID: 39233647 DOI: 10.1080/09513590.2024.2391925] [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: 03/03/2024] [Revised: 07/16/2024] [Accepted: 08/05/2024] [Indexed: 09/06/2024] Open
Abstract
OBJECTIVE Gestational diabetes mellitus (GDM) is associated with several adverse maternal and neonatal outcomes. Previous studies reported a link between altered sleep and risk of GDM. This systematic review aims to collate evidence on the association between impaired sleep quality and duration, and the risk of GDM. METHODS PubMed, Embase, Web of Science, and Scopus databases were searched up to January 20, 2024. Studies reporting the association between impaired sleep quality and duration and risk of GDM were included. Sleep quality was assessed by the Pittsburgh Sleep Quality Index (PSQI). Random-effects meta-analysis was performed, and the results were reported as hazard ratio (HR) with 95% confidence interval (CI). RESULTS 19 studies were included. Meta-analysis revealed a significant increase in the risk of GDM in pregnant women with poor sleep quality (i.e. <5 PSQI) (HR: 1.50, 95% CI: 1.26 - 1.78, p < .001). Sleep duration of <7 h (HR: 1.56, 95% CI.: 1.20 - 2.01, p < .001), and >8 h (HR: 2.32, 95% CI.: 1.19 - 4.50, p = .01) were also associated with a significantly higher incidence of GDM. CONCLUSION Sleep quality and duration emerge as critical risk factors of GDM. Healthcare practitioners should consider targeted interventions to improve sleep hygiene as a potential measure for GDM prevention.
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Affiliation(s)
- Minhua Jiang
- Department of Gynaecology, Huzhou Maternity & Child Health Care Hospital, Huzhou City, Zhejiang Province, China
| | - Renhong Sui
- Intensive Care Unit, Huzhou Maternity & Child Health Care Hospital, Huzhou City, Zhejiang Province, China
| | - Xiaoqing Wu
- Intensive Care Unit, Huzhou Maternity & Child Health Care Hospital, Huzhou City, Zhejiang Province, China
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Zhang L, Wang HX, Li WX, Zhu YY, Ma RR, Wang YH, Zhang Y, Zhu DM, Zhu P. Association of Maternal Short Sleep Duration With Neurodevelopmental Delay in Offspring: A Prospective Cohort Study. J Clin Endocrinol Metab 2024:dgae569. [PMID: 39324789 DOI: 10.1210/clinem/dgae569] [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: 04/09/2024] [Indexed: 09/27/2024]
Abstract
CONTEXT To investigate how short sleep duration (SSD) during pregnancy is related to neurodevelopmental delays in offspring, we aimed to inform pregnancy sleep guidelines and promote maternal health and child development. OBJECTIVE To identify the associations between SSD during pregnancy and offspring neurodevelopmental delay and to determine whether fetal glucose metabolism plays a role in SSD and neurodevelopmental delays. METHODS This cohort study followed 7059 mother-child pairs from the Maternal & Infants Health in Hefei cohort, and collected sleep data during pregnancy via the Pittsburgh Sleep Quality Index at weeks 24 to 28 and 32 to 36. Neurodevelopmental outcomes from 6 to 36 months postpartum were assessed via the Denver Developmental Screening Test-II and the Gesell Development Diagnosis Scale. Cox proportional hazard regression was used to analyze the link between maternal SSD and neurodevelopmental delay risk. Mediation analysis was used to evaluate the role of cord blood serum C-peptide levels. Three hospitals and children's health centers in Hefei were involved. RESULTS The stratified analysis revealed a significant association between mothers with SSD during midpregnancy and neurodevelopmental delay in boys (adjusted HR 2.05, 95% CI 1.29, 3.25). Cord blood marker analysis revealed a positive relationship between cord blood serum C-peptide levels and neurodevelopmental delay in offspring (RR 0.04, 95% CI 0.00, 0.08). The proportion of the association between SSD and neurodevelopmental delay mediated by cord blood C-peptide was 11.05%. CONCLUSION Maternal SSD during pregnancy was continuously associated with an increased incidence of neurodevelopmental delay with sex differences among offspring. This association may be mediated in part by increased higher levels of cord C-peptide.
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Affiliation(s)
- Lei Zhang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China
- MOE Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Hefei, Anhui 230032, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, Anhui 230032, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, Anhui 230032, China
| | - Hai-Xia Wang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China
- MOE Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Hefei, Anhui 230032, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, Anhui 230032, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, Anhui 230032, China
| | - Wen-Xiang Li
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China
| | - Yuan-Yuan Zhu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China
- MOE Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Hefei, Anhui 230032, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, Anhui 230032, China
| | - Rui-Rui Ma
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China
- MOE Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Hefei, Anhui 230032, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, Anhui 230032, China
| | - Yu-Hong Wang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China
- MOE Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Hefei, Anhui 230032, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, Anhui 230032, China
| | - Yu Zhang
- Department of Sleep Disorders, Affiliated Psychological Hospital of Anhui Medical University, Hefei, Anhui 230032, China
- Hefei Fourth People's Hospital, Hefei, Anhui 230022, China
- Anhui Mental Health Center, Hefei, Anhui 230022, China
| | - Dao-Min Zhu
- Department of Sleep Disorders, Affiliated Psychological Hospital of Anhui Medical University, Hefei, Anhui 230032, China
- Hefei Fourth People's Hospital, Hefei, Anhui 230022, China
- Anhui Mental Health Center, Hefei, Anhui 230022, China
| | - Peng Zhu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China
- MOE Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Hefei, Anhui 230032, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, Anhui 230032, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, Anhui 230032, China
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Gao H, Miao C, Liu W, Sun Y, Li H, Wu Z, Li W, Xu L, Sun B, Zheng B, Zhu Y. Association of sleep duration and sleep quality with gestational diabetes mellitus in pregnant women after treatment with assisted reproductive technology: A birth cohort study. J Sleep Res 2024:e14191. [PMID: 38499503 DOI: 10.1111/jsr.14191] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 01/22/2024] [Accepted: 02/24/2024] [Indexed: 03/20/2024]
Abstract
Maternal sleep is closely related to subsequent gestational diabetes mellitus (GDM) in natural pregnancies. However, whether this connection exists in pregnant women conceiving with the help of assisted reproductive technology (ART) has not been confirmed. Hence, in this study, we evaluated whether early pregnancy sleep duration or sleep quality is associated with gestational diabetes mellitus in ART-pregnant women, as well as the influence of maternal age on this association. This prospective birth cohort study included 856 pregnant women who successfully conceived with the help of ART treatment. The sleep parameters of ART-pregnant women were assessed using the Pittsburgh Sleep Quality Index (PSQI) in early pregnancy. We explored the association between sleep and the risk of gestational diabetes mellitus using an unconditional binary logistic regression model. Different models were constructed to examine the robustness of the estimation by incorporating different confounding factors. Multivariable logistic regression revealed that sleep duration of more than 10 h among ART-pregnant women was significantly associated with the risk of GDM, and the association between sleep duration and gestational diabetes mellitus varied by maternal age. We found an increased risk of subsequent gestational diabetes mellitus with increasing sleep duration only in pregnant women aged <35 years. Additionally, no statistically significant association between sleep quality and gestational diabetes mellitus was found in this study. In conclusion, excessive sleep duration (≥10 h) is associated with a high risk of gestational diabetes mellitus in pregnant women who conceived with the help of assisted reproductive technology, and maternal age may modify this effect.
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Affiliation(s)
- Haiyan Gao
- Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China
- Fujian Obstetrics and Gynecology Hospital, Fuzhou, China
| | - Chong Miao
- Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China
| | - Wenjuan Liu
- Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China
- Fujian Children's Hospital, Fuzhou, China
| | - Yan Sun
- Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China
| | - Haibo Li
- Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China
| | - Zhengqin Wu
- Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China
- Fujian Obstetrics and Gynecology Hospital, Fuzhou, China
| | - Wei Li
- Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China
- Fujian Obstetrics and Gynecology Hospital, Fuzhou, China
| | - Liangjie Xu
- Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China
| | - Bin Sun
- Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China
| | - Beihong Zheng
- Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China
| | - Yibing Zhu
- Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China
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Eleftheriou D, Athanasiadou KI, Sifnaios E, Vagiakis E, Katsaounou P, Psaltopoulou T, Paschou SA, Trakada G. Sleep disorders during pregnancy: an underestimated risk factor for gestational diabetes mellitus. Endocrine 2024; 83:41-50. [PMID: 37740834 PMCID: PMC10805805 DOI: 10.1007/s12020-023-03537-x] [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: 04/30/2023] [Accepted: 09/12/2023] [Indexed: 09/25/2023]
Abstract
Sleep disorders are highly prevalent during pregnancy and significantly affect women's health and quality of life. Gestational diabetes mellitus (GDM) is one of the most common metabolic complications during pregnancy and constitutes a significant risk factor for both mother and fetus in the short and the long term. While the association between sleep disorders and type 2 diabetes mellitus (T2DM) is indisputable, it is not clear whether there is a link between sleep disorders and GDM. The aim of this article was to investigate the association between sleep disorders and GDM and whether the treatment of sleep disorders may prevent GDM development. Insomnia, obstructive sleep apnea (OSA), restless legs syndrome (RLS), and narcolepsy were the most common sleep disorders identified during pregnancy and were related to poor sleep quality and short or prolonged sleep duration. They were all associated with an increased risk of GDM. The ideal sleep duration for pregnant women was determined at 8-9 h daily. In conclusion, sleep disorders constitute a risk factor for GDM. It is imperative that prospective studies be conducted to evaluate the effect of the early management of sleep disorders on GDM manifestation and control. Healthcare providers should highlight the importance of sufficient sleep to reinforce pregnancy outcomes.
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Affiliation(s)
- Danai Eleftheriou
- Respiratory Medicine Unit, Department of Clinical Therapeutics, Alexandra Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Kleoniki I Athanasiadou
- Endocrine Unit and Diabetes Centre, Department of Clinical Therapeutics, Alexandra Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | | | - Emmanouil Vagiakis
- Respiratory Department, First ICU Evangelismos Hospital Athens, National and Kapodistrian University of Athens, Athens, Greece
| | - Paraskevi Katsaounou
- Respiratory Department, First ICU Evangelismos Hospital Athens, National and Kapodistrian University of Athens, Athens, Greece
| | - Theodora Psaltopoulou
- Endocrine Unit and Diabetes Centre, Department of Clinical Therapeutics, Alexandra Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Stavroula A Paschou
- Endocrine Unit and Diabetes Centre, Department of Clinical Therapeutics, Alexandra Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.
| | - Georgia Trakada
- Respiratory Medicine Unit, Department of Clinical Therapeutics, Alexandra Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
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Chen X, Liu M, Ma Q, Liu X, Peng X, He C. Mediating effects of depression on sleep disturbance and frailty in older adult type 2 diabetes patients in the community. Front Public Health 2023; 11:1237470. [PMID: 38089021 PMCID: PMC10715452 DOI: 10.3389/fpubh.2023.1237470] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Accepted: 11/07/2023] [Indexed: 12/18/2023] Open
Abstract
Introduction With the progressive aging of the population, frailty is now a significant challenge in geriatrics research. A growing amount of evidence suggests that sleep disturbance and depression have independent effects on frailty, although the underlying mechanisms are not yet clear. This study aimed to investigate the mediating role of depression in the relationship between sleep disturbance and frailty in older adult patients with type 2 diabetes (T2DM) in the community. Method Purposive sampling was used to collect face-to-face data from 342 community-dwelling T2DM patients in Chengdu, Sichuan Province, China, between February and May 2023. The Pittsburgh Sleep Quality Index (PSQI) scale was used to evaluate sleep quality, the Simple Geriatric Depression Scale (GDS-15) was used to evaluate depressive symptoms, and the FRAIL Scale (FRAIL) was used to evaluate frailty. Linear regression equation and bootstrap self-sampling were used to verify the mediating role of depressive symptoms in sleep disturbance and frailty. Result The study found that sleep disturbance had a direct positive effect with frailty [β = 0.040, 95% CI: (0.013, 0.069)]. Additionally, depression had a direct positive effect on frailty [β = 0.130, 95% CI: (0.087, 0.173)], and depression was found to partially mediate the relationship between sleep disturbance and frailty. Conclusion Poor sleep quality and frailty are common in patients with T2DM. To reduce the frailty of older adult T2DM patients, all levels of society (government, medical institutions, and communities) must pay more attention to mental health. A variety of interventions should be considered to improve sleep quality and depression, which in turn may prevent or control frailty.
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Affiliation(s)
- Xushu Chen
- School of Nursing, Chengdu Medical College, Chengdu, China
| | - Mengdan Liu
- School of Nursing, Chengdu Medical College, Chengdu, China
| | - Qin Ma
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
| | - Xin Liu
- School of Nursing, Chengdu Medical College, Chengdu, China
| | - Xueping Peng
- School of Nursing, Chengdu Medical College, Chengdu, China
| | - Changjiu He
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
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Zhou Y, Ni Y, Jones M, Dai X, Lim CCW, Zhu A, Xu X. Sleep Behaviors and Progression of Multimorbidity in Middle-Aged and Older Adults: A Prospective Cohort Study From China. J Gerontol A Biol Sci Med Sci 2023; 78:1871-1880. [PMID: 36943283 DOI: 10.1093/gerona/glad087] [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: 08/01/2022] [Indexed: 03/23/2023] Open
Abstract
BACKGROUND Sleep behavior (eg, sleep duration, sleep quality, and nap) is closely related to many chronic conditions. However, less is known about its association with multiple chronic conditions (multimorbidity), particularly evidence from cohort studies. METHODS Data were collected from a cohort of 8 937 individuals aged 45 and older from the China Health and Retirement Longitudinal Study (2011-2018). Sleep duration, sleep quality, and nap duration were collected in 2011 and 2013. Progression of multimorbidity was defined as the first report of 2 or more chronic conditions for participants without multimorbidity or the new report of 1 or more conditions for those with multimorbidity. Cox regression models were performed to calculate the hazard ratios and 95% confidence intervals (CIs) of the associations between sleep behaviors and the progression of multimorbidity. RESULTS Short sleep duration and poor sleep quality were associated with the progression of multimorbidity independently and jointly, especially in those less than 65 years and females. The U-shaped dose-response relationships were observed between nighttime and total sleep duration and the progression of multimorbidity. Persistent short and unsteadily changed sleep behaviors increased the risk of multimorbidity progression. Individuals sleeping ≤5 h/night with 5-7 restless days/week had 1.53 times higher risk of multimorbidity progression (95% CI: 1.37-1.71), compared to those sleeping 7-8 h/night with <1 restless day/week. CONCLUSIONS Short sleep duration and poor sleep quality were independently and jointly associated with a higher risk of multimorbidity progression in a mid-to-older population. Optimal sleep duration and sleep quality should be emphasized in multimorbidity prevention and control.
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Affiliation(s)
- Yaguan Zhou
- School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Yujie Ni
- School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Mark Jones
- Institute for Evidence-based Healthcare, Bond University, Gold Coast, Queensland, Australia
| | - Xiaochen Dai
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, Washington, USA
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, USA
| | - Carmen C W Lim
- National Centre for Youth Substance Use Research, Faculty of Health and Behavioral Sciences, The University of Queensland, Brisbane, Queensland, Australia
- School of Psychology, Faculty of Health and Behavioral Sciences, The University of Queensland, Brisbane, Queensland, Australia
| | - Anna Zhu
- Medical Faculty, Heidelberg University, Heidelberg, Germany
| | - Xiaolin Xu
- School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Hangzhou, Zhejiang, China
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Liu Q, Song L, Fan G, Wu M, Bi J, Xu L, Xiong C, Xia W, Cao Z, Xu S, Wang Y. Associations of self-reported sleep duration and sleep quality during pregnancy with newborn telomere length. Sleep Health 2023; 9:475-481. [PMID: 37230863 DOI: 10.1016/j.sleh.2023.03.001] [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: 08/16/2022] [Revised: 03/01/2023] [Accepted: 03/05/2023] [Indexed: 05/27/2023]
Abstract
BACKGROUND Telomere length (TL) at birth is considered a potential biomarker for lifelong health. Although maternal sleep disturbance has been linked to a series of adverse pregnancy outcomes, evidence on the effect of maternal sleep on newborn TL remains scarce. Therefore, we aim to investigate the association of maternal sleep duration and sleep quality with newborn TL. METHODS A total of 742 mother-newborn pairs were recruited from Wuhan Children's Hospital between November 2013 and March 2015. Cord blood TL was measured using real-time quantitative polymerase chain reaction. Maternal sleep duration and quality during late pregnancy were obtained via questionnaires. Multivariate linear regression models were used to estimate the effects of maternal sleep duration and sleep quality on newborn TL. RESULTS A total of 742 maternal-newborn pairs were included in the analyses. Mothers sleeping ≥10 hours had a 9.30% (95% CI: 2.09%, 15.99%) shorter newborn TL than those sleeping 7-<9 hours. However, the association in mothers with short sleep duration (<7 hours) did not reach statistical significance. Compared to mothers with good sleep quality, those with poor sleep quality had a 9.91% (95% CI: 4.06%, 15.40%) shorter newborn TL. We observed a joint effect of sleep duration and sleep quality on newborn telomere shortening. Women with sleep duration ≥10 hours and poor sleep quality were most likely to have newborns with short TL (percent change:-19.66%, 95% CI: -28.42, -9.84%). CONCLUSIONS Long sleep duration and poor sleep quality during late pregnancy were associated with shorter newborn TL.
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Affiliation(s)
- Qing Liu
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Lulu Song
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Gaojie Fan
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Mingyang Wu
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Jianing Bi
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Luli Xu
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Chao Xiong
- Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Wei Xia
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Zhongqiang Cao
- Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Shunqing Xu
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Youjie Wang
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
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Ji Y, Zhang Y, Yun Q, Chang C. Gender differences in social environmental changes associated with smoking: a cross-sectional study from Chinese internal migrants. BMJ Open 2022; 12:e058097. [PMID: 36414285 PMCID: PMC9685270 DOI: 10.1136/bmjopen-2021-058097] [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] [Indexed: 11/23/2022] Open
Abstract
OBJECTIVES To identify clues for women's tobacco control, this study analyses the gender differences in social environmental changes associated with smoking and the interaction between the environment and individuals' social integration. DESIGN, SETTING AND PARTICIPANTS A cross-sectional design and secondary analysis were used among Chinese internal migrants. Data were from the 2012 Migrant Dynamics Monitoring Survey in China with participants aged 15-59 years old (75 416 women and 83 140 men) who resided in cities for more than 1 month. PRIMARY AND SECONDARY OUTCOME MEASURES Social environmental changes were measured by differences in smoking prevalence and women's empowerment between the migrant-receiving province (MRP) and migrant-sending province (MSP). Social participation and duration of stay (DOS) were adopted as indicators of social integration. Stratified analysis and binary logistic regression models were used to determine the dependent variable (smoking status) and environmental changes after controlling for age, education, income and happiness. RESULTS Differences in the smoking prevalence environment (lower in MRP, OR 0.70, 95% CI 0.60 to 0.83; higher rate in MRP, OR 1.79, 95% CI 1.35 to 2.37) and women's empowerment (lower rate in MRP, OR 0.80, 95% CI 0.68 to 0.97; higher rate in MRP, OR 1.15, 95% CI 1.00 to 1.33) between MRP and MSP were positively correlated with women's smoking. In men, however, migrating to an area with lower smoking prevalence could not reduce smoking risk, whereas moving to an area with higher women's empowerment could. A long DOS was an independent risk factor for smoking in women (ranged from 1.20 to 2.00 in various environmental changes scenarios) but a protective factor for men. An interaction between environmental changes and social integration could not be verified. CONCLUSIONS Tobacco control strategies should consider gender differences, especially women who are experiencing social environmental changes.
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Affiliation(s)
- Ying Ji
- Department of Social Medicine and Health Education, School of Public Health, Peking University, Beijing, China
| | - Yan Zhang
- Institute of Nutrition and Food Hygiene, Beijing Centers for Diseases Control and Prevention, Beijing, China
| | - Qingping Yun
- Department of Social Medicine and Health Education, School of Public Health, Peking University, Beijing, China
| | - Chun Chang
- Department of Social Medicine and Health Education, School of Public Health, Peking University, Beijing, China
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9
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Xue B, Xue Y, Zheng X, Shi L, Liang P, Dong F, Xiao S, Zhang J, Qin Z, Xu Y, Ou W, Zhang C. Association of sleep with mental health in Chinese high school students: a cross-sectional study. J Sleep Res 2022; 31:e13697. [PMID: 35879019 DOI: 10.1111/jsr.13697] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Revised: 05/16/2022] [Accepted: 06/28/2022] [Indexed: 01/14/2023]
Abstract
Adolescents' sleep problems and their association with mental health is an important public health concern. This study aimed to investigate sleep and mental health status and the association of sleep with mental health in Chinese high school students. Data came from a cross-sectional study in Guangdong province which included 42,077 high school students. Sleep quality and sleep duration were obtained through self-report. The Depression Anxiety and Stress Scale (DASS-21) was used to measure mental health. The association between sleep quality, sleep duration, and mental health was analysed using logistic regression. The prevalence of depression, anxiety, and stress symptoms were 35.27%, 42.32%, and 21.87% in high school students, respectively. And only 17.71% and 34.41% of the high school students had very good sleep quality and ≥8 h sleep duration, respectively. Poorer sleep quality and shorter sleep duration were risk factors for mental health problems in high school students. Compared to high school students with very good sleep quality and ≥8 h sleep duration, the high school students with poor or very poor sleep quality and <6 h sleep duration had the highest risk of depression symptoms (odds ratio [OR] 5.02, 95% confidence interval [CI] 4.40-5.72), anxiety symptoms (OR 6.02, 95% CI5.25-6.89), and stress symptoms (OR 6.12, 95% CI5.30-7.06). Considering the combined association of sleep quality and sleep duration on mental health, it is important not only to ensure that high school students have sufficient sleep duration, but also to improve their sleep quality.
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Affiliation(s)
- Benli Xue
- School of Health Management, Southern Medical University, Guangzhou, China
| | - Yaqing Xue
- School of Health Management, Southern Medical University, Guangzhou, China
| | - Xiao Zheng
- School of Health Management, Southern Medical University, Guangzhou, China
| | - Lei Shi
- School of Health Management, Southern Medical University, Guangzhou, China
| | - Pengyan Liang
- Health Promotion and Education Center of Guangdong Province, Guangzhou, China
| | - Fang Dong
- School of Health Management, Southern Medical University, Guangzhou, China
| | - Shujuan Xiao
- School of Health Management, Southern Medical University, Guangzhou, China
| | - Jiachi Zhang
- School of Health Management, Southern Medical University, Guangzhou, China
| | - Zuguo Qin
- Health Promotion and Education Center of Guangdong Province, Guangzhou, China
| | - Ying Xu
- Department of Education of Guangdong Province, Guangzhou, China
| | - Weiyan Ou
- School of Health Management, Southern Medical University, Guangzhou, China
| | - Chichen Zhang
- School of Health Management, Southern Medical University, Guangzhou, China.,Department of Health Management, Nanfang Hospital, Southern Medical University, Guangzhou, China.,Institute of Health Management, Southern Medical University, Guangzhou, China
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10
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Wang R, Xu M, Yang W, Xie G, Yang L, Shang L, Zhang B, Guo L, Yue J, Zeng L, Chung MC. Maternal sleep during pregnancy and adverse pregnancy outcomes: a systematic review and meta-analysis. J Diabetes Investig 2022; 13:1262-1276. [PMID: 35171528 PMCID: PMC9248434 DOI: 10.1111/jdi.13770] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Revised: 01/26/2022] [Accepted: 02/11/2022] [Indexed: 11/28/2022] Open
Abstract
AIM/INTRODUCTION Sleep problem is an important public health concern worldwide. We conducted a meta-analysis to quantitatively evaluate whether sleep duration associated with pregnancy outcomes, and the associations were modified by important characteristics of studies. MATERIALS AND METHODS Basing on PubMed, Embase, the Cochrane Central Register of Controlled Trials (CENTRAL) databases, we searched for the published literature related to maternal sleep duration and adverse pregnancy outcomes before 30 June, 2021. We conducted risk of bias assessment, subgroup analyses and sensitivity analysis. The relative risks (RR) or odds ratios (OR) with 95% confidence intervals (CI) were used to estimate the pooled effects. RESULTS 5246 references were identified through databases searching, 41 studies were included in the study. Pregnant with short sleep duration had 1.81 times (95% CI 1.35-2.44, P < 0.001) risk of gestational diabetes mellitus (GDM). The association between short sleep duration and the risk of gestational hypertension (GH), cesarean section (CS), low birthweight (LBW), preterm birth (PTB) and small for gestational age (SGA) were not significant (P > 0.05). Furthermore, long sleep duration was significantly correlated with GDM (OR 1.24. 95% CI 1.12-1.36, P < 0.001) and CS (OR 1.13. 95% CI 1.04-1.22, P = 0.004), while long sleep duration was not linked with GH, LBW, PTB and SGA (P > 0.05). CONCLUSIONS Short / long sleep duration appeared to be associated with adverse pregnancy outcome, specifically with an increased risk of GDM. Sleep should be systematically screened in the obstetric population.
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Affiliation(s)
- Ruiqi Wang
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Xi'an Jiaotong University, Maternal & Child Health Center, Xi'an, Shaanxi, P.R. China.,School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, P.R. China
| | - Mengmeng Xu
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Xi'an Jiaotong University, Maternal & Child Health Center, Xi'an, Shaanxi, P.R. China
| | - Wenfang Yang
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Xi'an Jiaotong University, Maternal & Child Health Center, Xi'an, Shaanxi, P.R. China
| | - Guilan Xie
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Xi'an Jiaotong University, Maternal & Child Health Center, Xi'an, Shaanxi, P.R. China.,School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, P.R. China
| | - Liren Yang
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Xi'an Jiaotong University, Maternal & Child Health Center, Xi'an, Shaanxi, P.R. China.,School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, P.R. China
| | - Li Shang
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, P.R. China.,Shenzhen Health Development Research and Data Management Center, Shenzhen, Guangdong, P.R. China
| | - Boxing Zhang
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Xi'an Jiaotong University, Maternal & Child Health Center, Xi'an, Shaanxi, P.R. China.,School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, P.R. China
| | - Leqian Guo
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Xi'an Jiaotong University, Maternal & Child Health Center, Xi'an, Shaanxi, P.R. China
| | - Jie Yue
- Department of Pediatrics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, P.R. China
| | - Lingxia Zeng
- Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, P.R. China
| | - Mei Chun Chung
- Department of Public Health and Community Medicine, Tufts University School of Medicine, Massachusetts Boston, United States of America
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Chen H, He Y, Zeng X, Chen Q, Zhou N, Yang H, Zhou W, Zhang L, Yang R, Huang Q, Zhang H. Sleep Quality is an Independent Predictor of Blood Glucose and Gestational Diabetes Mellitus: A Longitudinal Study of 4550 Chinese Women. Nat Sci Sleep 2022; 14:609-620. [PMID: 35431589 PMCID: PMC9012300 DOI: 10.2147/nss.s353742] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Accepted: 03/24/2022] [Indexed: 01/12/2023] Open
Abstract
PURPOSE To investigate whether pregnant women's subjective sleep quality during the first trimester independently predicted blood glucose and gestational diabetes mellitus (GDM). METHODS A total of 4550 pregnant women in the first trimester were enrolled in Chongqing Health Center for Women and Children, China, from January to October 2020.The Pittsburgh Sleep Quality Index (PSQI) was used to measure subjective sleep quality. Depression symptoms and anxiety were measured with the Patient Health Questionnaire-9 (PHQ-9) and General Anxiety Disorder-7 (GAD-7). Oral glucose tolerance tests (OGTT) and blood glucose area under the curve (AUC) were used for estimation of blood glucose and diagnosis of GDM during the second trimester. Linear, mixed model, and logistic regression were used to analyze the association between PSQI and blood glucose as well as GDM. RESULTS 946/4550 were diagnosed with GDM (20.8%). In the mixed model analysis, the blood glucose level of the highest-scoring group (PSQI score = 18) was 1.94 (95% CI: 0.45~3.43, P = 0.011) mmol/L higher than that of the lowest-scoring group (PSQI score = 0). After adjusting for potential confounders, a one-point PSQI score increase was associated with a 0.014 (95% CI: 0.001~0.027, P = 0.039) mmol/L increase in blood glucose level. Blood glucose AUC was also positively associated with PSQI scores (β = 0.034, 95% CI: 0.003~0.064, P = 0.030). The results for the logistic regression model showed that PSQI was marginal positively correlated with GDM (OR = 1.146, 95% CI: 0.995~1.321, P = 0.059) when age and BMI were not controlled for. When investigating the association between PSQI and the GDM-diagnosed time window, the 1-h diagnosed GDM had a borderline positive correlation with PSQI (OR = 1.182, 95% CI: 0.993~1.405, P = 0.060). CONCLUSION Sleep quality during the first trimester may be a risk factor for elevated blood glucose and GDM later in gestation.
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Affiliation(s)
- Hongyan Chen
- Quality Management Department, Chongqing Health Center for Women and Children, Chongqing, People's Republic of China
| | - Yang He
- Operating Room, Chongqing Health Center for Women and Children, Chongqing, People's Republic of China
| | - Xiaoling Zeng
- Key Lab of Medical Protection for Electromagnetic Radiation, Ministry of Education of China, Institute of Toxicology, College of Preventive Medicine, Third Military Medical University (Army Medical University), Chongqing, People's Republic of China
| | - Qing Chen
- Key Lab of Medical Protection for Electromagnetic Radiation, Ministry of Education of China, Institute of Toxicology, College of Preventive Medicine, Third Military Medical University (Army Medical University), Chongqing, People's Republic of China
| | - Niya Zhou
- Key Lab of Medical Protection for Electromagnetic Radiation, Ministry of Education of China, Institute of Toxicology, College of Preventive Medicine, Third Military Medical University (Army Medical University), Chongqing, People's Republic of China
| | - Huan Yang
- Key Lab of Medical Protection for Electromagnetic Radiation, Ministry of Education of China, Institute of Toxicology, College of Preventive Medicine, Third Military Medical University (Army Medical University), Chongqing, People's Republic of China
| | - Wenzheng Zhou
- Quality Management Department, Chongqing Health Center for Women and Children, Chongqing, People's Republic of China
| | - Liwen Zhang
- Key Lab of Medical Protection for Electromagnetic Radiation, Ministry of Education of China, Institute of Toxicology, College of Preventive Medicine, Third Military Medical University (Army Medical University), Chongqing, People's Republic of China
| | - Rong Yang
- Obstetric Outpatient Department, Chongqing Health Center for Women and Children, Chongqing, People's Republic of China
| | - Qiao Huang
- Obstetric Outpatient Department, Chongqing Health Center for Women and Children, Chongqing, People's Republic of China
| | - Hua Zhang
- Administration Office, Chongqing Health Center for Women and Children, Chongqing, People's Republic of China
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