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Lai Y, Wang C, Ouyang J, Wu L, Wang Y, Wu P, Ye YX, Yang X, Gao Y, Wang YX, Song X, Yan S, Lv C, Liu G, Pan A, Pan XF. Association between nighttime sleep duration, midday napping, and sleep quality during early pregnancy and risk of gestational diabetes mellitus: A prospective cohort study in China. Sleep Med 2024; 119:164-171. [PMID: 38685163 DOI: 10.1016/j.sleep.2024.04.003] [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: 12/05/2023] [Revised: 04/04/2024] [Accepted: 04/04/2024] [Indexed: 05/02/2024]
Abstract
AIM To evaluate the prospective associations of nighttime sleep duration, midday napping, and sleep quality during early pregnancy with gestational diabetes mellitus (GDM) risk among Chinese pregnant women. METHODS Sleep-related information was assessed by the Pittsburgh Sleep Quality Index in baseline surveys during the 6-15 (mean 10.3) gestational weeks. GDM was diagnosed during 24-28 gestational weeks according to the Chinese Guidelines on Diagnosis and Management of Hyperglycemia in Pregnancy (2022). Multivariable logistic regression models with adjustments for socio-demographic and lifestyle factors were used to estimate odds ratios (ORs) and 95 % confidence intervals (CIs) for the associations of sleep traits with GDM risk. RESULTS We identified 503 incident GDM cases among 6993 participants. Compared with women who slept for 7-9 hours/night in early pregnancy, those who slept <7 hours/night showed a higher risk of GDM (OR, 1.75; 95 % CI: 1.20-2.54), whereas those who slept >9 hours/night showed no significant association for GDM risk (OR, 1.01; 95 % CI: 0.78-1.30). Compared with women with absolutely no napping, those with ≤60 and > 60 min/day midday napping showed no significant association for GDM risk (OR, 0.82; 95 % CI: 0.64-1.05 for ≤60 min/day midday napping; OR, 0.87; 95 % CI: 0.66-1.15 for >60 min/day midday napping). Poor sleep quality was not associated with GDM risk compared with good quality (OR, 0.90; 95 % CI: 0.72-1.12). CONCLUSION A short nighttime sleep duration during early pregnancy was associated with a higher risk of GDM, which was independent of midday napping, sleep quality and lifestyle factors.
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Affiliation(s)
- Yuwei Lai
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Can Wang
- Office of Administration & Shuangliu Institute of Women's and Children's Health, Shuangliu Maternal and Child Health Hospital, Chengdu, China
| | - Jing Ouyang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Linjing Wu
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yi Wang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ping Wu
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yi-Xiang Ye
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xue Yang
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China; Section of Epidemiology and Population Health & Department of Gynecology and Obstetrics, Ministry of Education Key Laboratory of Birth Defects and Related Diseases of Women and Children & National Medical Products Administration Key Laboratory for Technical Research on Drug Products In Vitro and In Vivo Correlation, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Yanyu Gao
- Department of Obstetrics and Gynecology, Shuangliu Maternal and Child Health Hospital, Chengdu, China
| | - Yi-Xin Wang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xingyue Song
- Department of Emergency, Hainan Clinical Research Center for Acute and Critical Diseases, The Second Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Shijiao Yan
- School of Public Health, Hainan Medical University, Haikou, China; Research Unit of Island Emergency Medicine, Chinese Academy of Medical Sciences, Hainan Medical University, Haikou, Hainan, China
| | - Chuanzhu Lv
- Research Unit of Island Emergency Medicine, Chinese Academy of Medical Sciences, Hainan Medical University, Haikou, Hainan, China; Emergency Medicine Center, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China; Key Laboratory of Emergency and Trauma of Ministry of Education, Hainan Medical University, Haikou, China
| | - Gang Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - An Pan
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - Xiong-Fei Pan
- Section of Epidemiology and Population Health & Department of Gynecology and Obstetrics, Ministry of Education Key Laboratory of Birth Defects and Related Diseases of Women and Children & National Medical Products Administration Key Laboratory for Technical Research on Drug Products In Vitro and In Vivo Correlation, West China Second University Hospital, Sichuan University, Chengdu, China; Shuangliu Institute of Women's and Children's Health, Shuangliu Maternal and Child Health Hospital, Chengdu, China; West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.
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Sarvaran K, Abbasalizadeh F, Alaei M, Fathnezhad-Kazemi A. Prevalence of Sleep Disorders and the Effect of Sleep Health Education on Sleep Quality in Pregnant Women With Sleep Disorders. Am J Lifestyle Med 2024; 18:435-444. [PMID: 38737882 PMCID: PMC11082865 DOI: 10.1177/15598276231178746] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/14/2024] Open
Abstract
Objective Sleep quality affects pregnant women's health and quality of life. The aims of the study were to investigate the prevalence of sleep disorders and the effect of sleep health education on sleep quality in pregnant women with sleep disorders. Methods To examine the frequency of sleep disorders among pregnant women, a cross-sectional study was conducted with an initial enrollment of 370 participants. Subsequently, 162 pregnant women were recruited for a pretest-posttest quasi-experimental design study. The intervention group (n = 82) performed sleep health education for four weeks and the control group (n = 80) received standard care. Sleep quality was assessed with Pittsburgh Sleep Quality. Results The prevalence of sleep disorder was 61.9 percent (CI 95% 56.85-66.69). It was determined that health education improved some sleep quality subscales including subjective sleep quality, sleep latency, sleep duration and habitual sleep efficiency, and sleep disturbances, daytime dysfunction, and global sleep quality. The difference was still significant after adjusting for the PSQI baseline (η2 = .311, P < .001). Conclusion These findings provide evidence of a relatively high prevalence of sleep disorders in pregnancy. Therefore, screening for sleep disorders and providing supportive programs and models to improve sleep quality during pregnancy should be considered as part of prenatal care.
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Affiliation(s)
- Kosar Sarvaran
- Students’ Research committee,
Faculty of Medicine, Tabriz Medical Sciences, Islamic Azad University, Tabriz, Iran
| | - Fatemeh Abbasalizadeh
- Women’s reproductive health
research center, Tabriz University of Medical
Sciences, Tabriz, Iran
| | - Maede Alaei
- Students’ Research committee,
Faculty of Medicine, Tabriz Medical Sciences, Islamic Azad University, Tabriz, Iran
| | - Azita Fathnezhad-Kazemi
- Department of Midwifery, Women’s
Reproductive and Mental Health Research center, Tabriz Medical Sciences, Islamic Azad University, Tabriz, Iran
- Department of Midwifery, Faculty of
Nursing and Midwifery, Tabriz Medical Sciences, Islamic Azad University, Tabriz, Iran
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Li Y, Liang C, Wu C, Nan Z. Association between sleep duration during pregnancy and gestational diabetes mellitus: a systematic review and meta-analysis. Front Med (Lausanne) 2024; 11:1337492. [PMID: 38737761 PMCID: PMC11082293 DOI: 10.3389/fmed.2024.1337492] [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: 11/13/2023] [Accepted: 04/15/2024] [Indexed: 05/14/2024] Open
Abstract
Objective To systematically review studies on the correlation between sleep duration during pregnancy and gestational diabetes mellitus (GDM) and use meta-analysis to explore the correlation between the two to provide a basis for preventing GDM during pregnancy. Methods The search databases were China Knowledge Network (CNKI), Weipu, Wanfang, China Biomedical Literature Service System (SinoMed), Cochrane Library, Web of Science, Embase, and PubMed, and the search time was from the establishment of the above databases to July 2023. The data were statistically analyzed using STATA/MP17 and RevMan 5.3 software. Publication bias could be accurately assessed using funnel plots and Egger's test. Results A total of 5,197 papers were searched, and 13 studies were finally included, which included 80,259 individuals, including 3,461 patients with GDM. The comprehensive analysis showed that. Based on pooled data from prospective, cross-sectional, and case-control studies, extreme sleep duration during pregnancy was strongly associated with GDM compared with average sleep duration. The results of the prospective studies showed that both short (OR = 1.50, 95% CI: 1.07-2.10, I2 = 60.9%, p = 0.02) and long (OR = 1.28, 95% CI: 1.13-1.46, I2 = 0.0%, p < 0.0001) sleep duration increased the risk of gestational diabetes mellitus, but the harms were more pronounced with short sleep. In analyzing the association between extreme sleep duration and GDM, publication bias was found in prospective, cross-sectional, and case-control studies with moderate heterogeneity and prospective-only studies with low heterogeneity. Conclusion Both too short and too long sleep duration during pregnancy are strongly associated with GDM. Either too short or too long sleep duration predicts the risk of developing GDM, but the harms are more pronounced with short sleep. These findings remind us of the importance of controlling sleep duration during pregnancy and help to optimize early strategies to prevent GDM.Systematic review registration: http://www.crd.york.ac.uk/prospero, identifier [CRD42023470925].
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Affiliation(s)
- Yuandong Li
- Changchun University of Chinese Medicine, Changchun, China
| | - Chao Liang
- Changchun University of Chinese Medicine, Changchun, China
| | - Cui Wu
- Changchun University of Chinese Medicine, Changchun, China
| | - Zheng Nan
- Affiliated Hospital of Changchun University of Chinese Medicine, Changchun, 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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Zhu Y, Wang H, Ma R, Zhang L, Wang Y, Zhang Y, Shao Z, Zhu D, Zhu P. Association of Gestational Diabetes Mellitus Complicated With Short Sleep Duration and Child Neurodevelopmental Delay. J Clin Endocrinol Metab 2023; 109:e216-e224. [PMID: 37515585 DOI: 10.1210/clinem/dgad446] [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: 05/23/2023] [Revised: 07/01/2023] [Accepted: 07/28/2023] [Indexed: 07/31/2023]
Abstract
CONTEXT Gestational diabetes mellitus (GDM) is a risk factor for child neurodevelopmental delay. Maternal short sleep duration (SSD) may aggravate glucose metabolism disorder in women with GDM. However, it is unclear whether maternal SSD will further affect the neurodevelopmental outcomes of children. OBJECTIVE To identify the association of GDM complicated with SSD and child neurodevelopmental delay. METHODS This prospective study included 7069 mother-child pairs. Between 24 and 28 weeks of gestation, GDM was based on the 75-g oral-glucose-tolerance test. Self-reported sleep duration was collected via the Pittsburgh Sleep Quality Index questionnaire in the second (24-28 weeks) and third (32-36 weeks) trimesters. Outcomes of neurodevelopmental delay in 6 to 36 months postpartum were evaluated using Denver Developmental Screening Test-II and Gesell Development Diagnosis Scale. RESULTS Compared with the unexposed group, women with "GDM + SSD" have the greatest risks of child neurodevelopmental delay (hazard ratio with 95% CI: 1.58 [1.03-2.44]). "GDM + SSD" was associated with the greatest risks of maternal-fetal glucose metabolic disorder. An interquartile ratio (0.58 mmol/L) increase in cord blood C-peptide was associated with the risk of child neurodevelopmental delay (hazard ratio with 95% CI: 1.28 [1.12-1.48]). The stronger linear association of maternal glucose metabolism profiles and C-peptide in women with "GDM + SSD" was also demonstrated. The proportion of association between "GDM + SSD" and child neurodevelopmental delay mediated by C-peptide was 14.4%. CONCLUSION GDM complicated with SSD was associated with increased risk for child neurodevelopmental delay by enhancing the intergenerational association of maternal-fetal glucose metabolism disorder.
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Affiliation(s)
- Yuanyuan Zhu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei 230000, China
- MOE Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Hefei 230000, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei 230000, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei 230000, China
| | - Haixia Wang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei 230000, China
- MOE Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Hefei 230000, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei 230000, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei 230000, China
| | - Ruirui Ma
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei 230000, China
- MOE Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Hefei 230000, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei 230000, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei 230000, China
| | - Lei Zhang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei 230000, China
- MOE Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Hefei 230000, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei 230000, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei 230000, China
| | - Yuhong Wang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei 230000, China
- MOE Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Hefei 230000, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei 230000, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei 230000, China
| | - Yu Zhang
- Department of Sleep Disorders, Affiliated Psychological Hospital of Anhui Medical University, Hefei 230000, China
- Hefei Fourth People's Hospital, Hefei 230000, China
- Anhui Mental Health Center, Hefei 230000, China
| | - Ziyu Shao
- Maternal and Child Health Service Center, Hefei 230000, China
| | - Daomin Zhu
- Department of Sleep Disorders, Affiliated Psychological Hospital of Anhui Medical University, Hefei 230000, China
- Hefei Fourth People's Hospital, Hefei 230000, China
- Anhui Mental Health Center, Hefei 230000, China
| | - Peng Zhu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei 230000, China
- MOE Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Hefei 230000, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei 230000, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei 230000, China
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Yang Z, Hu S, Tong W, Xu Z, Huang X, Wang W. Effect of folic acid supplementation in the association between short sleep duration and gestational diabetes mellitus. Sleep Breath 2023; 27:2509-2516. [PMID: 37097553 DOI: 10.1007/s11325-023-02833-0] [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: 12/19/2022] [Revised: 03/20/2023] [Accepted: 04/14/2023] [Indexed: 04/26/2023]
Abstract
PURPOSE To examine whether or not folic acid (FA) supplementation may modify the relationships between duration or quality of sleep and gestational diabetes mellitus (GDM) risk. METHODS In a case-control study of patients with GDM and controls, mothers were interviewed face-to-face at enrollment. The Pittsburgh Sleep Quality Scale was used to assess duration and quality of sleep during early pregnancy, and information on FA supplementation and covariates was obtained using a semiquantitative questionnaire. RESULTS Among 396 patients with GDM and 904 controls, GDM risk increased by 328% and 148% among women with short (< 7 h) and long (≥ 9 h) sleep durations, respectively, compared to those averaging 7-8.9 h sleep. Mothers with poor sleep quality increased their GDM risk by an average of 75% (all p < 0.05). The effect of short sleep duration on GDM risk was much weaker among women with adequate FA supplementation (taking supplements containing ≥ 0.4 mg FA daily for each day of the first three months of pregnancy) than that among women with inadequate FA supplementation, with a p-value for interaction = 0.003. There were no significant effects of FA on links among long duration and poor quality of sleep with GDM risk. CONCLUSIONS Sleep duration and quality in early gestation were related to increased GDM risks. FA supplementation may reduce GDM risk associated with short sleep duration.
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Affiliation(s)
- Zhen Yang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinggangshan University, 28 Xueyuan Road, Ji'an, Jiangxi, 343009, People's Republic of China
| | - Sisi Hu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinggangshan University, 28 Xueyuan Road, Ji'an, Jiangxi, 343009, People's Republic of China
- The Personnel Department, Jinggangshan University, 28 Xueyuan Road, Ji'an, Jiangxi, 343009, People's Republic of China
| | - Wei Tong
- Department of Nephrology, Jiujiang Water of Life Hospital, 48 Talingnan Road, Jiujiang, Jiangxi, 332000, People's Republic of China
| | - Zhihao Xu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinggangshan University, 28 Xueyuan Road, Ji'an, Jiangxi, 343009, People's Republic of China
| | - Xiaoliu Huang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinggangshan University, 28 Xueyuan Road, Ji'an, Jiangxi, 343009, People's Republic of China
| | - Weiye Wang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinggangshan University, 28 Xueyuan Road, Ji'an, Jiangxi, 343009, People's Republic of China.
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8
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Wu L, Ouyang J, Lai Y, Wu P, Wang Y, Ye Y, Wang J, Hu M, Zhang J, Xu J, Yang X, Yuan J, Zhao B, Song X, Yan S, Lv C, Liu G, Pan A, Pan XF. Combined healthy lifestyle in early pregnancy and risk of gestational diabetes mellitus: A prospective cohort study. BJOG 2023; 130:1611-1619. [PMID: 37212437 DOI: 10.1111/1471-0528.17548] [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: 12/14/2022] [Revised: 04/25/2023] [Accepted: 05/04/2023] [Indexed: 05/23/2023]
Abstract
OBJECTIVE To examine the association of a combined healthy lifestyle in early pregnancy with gestational diabetes mellitus (GDM) risk. DESIGN, SETTING AND POPULATION A Chinese prospective cohort study with 6980 pregnant women. METHODS Individual modifiable lifestyle factors were assessed in early pregnancy and a combined lifestyle score was derived from the sum of the lifestyle factors, with a higher score indicating a healthier lifestyle. The association of a combined healthy lifestyle with GDM risk was examined. MAIN OUTCOME MEASURES Gestational diabetes mellitus was diagnosed in middle pregnancy according to the International Association of Diabetes and Pregnancy Study Group criteria or diagnoses in medical records. RESULTS Overall, 501 (7.2%) pregnant women were diagnosed with GDM. Being physically active (total energy expenditure in upper three quintiles, i.e. ≥100.1 metabolic equivalent of task [MET]-hours/week; odds ratio [OR] 0.76, 95% confidence interval [CI] 0.63-0.92), healthy diet (total intake of vegetables and fruits ≥5 times/day; OR 0.74, 95% CI 0.59-0.94), sufficient sleep (night-time sleep duration ≥7 hours/night; OR 0.66, 95% CI 0.48-0.90) and healthy weight (early-pregnancy BMI <24.0 kg/m2 ; OR 0.57, 95% CI 0.46-0.71) were associated with lower GDM risk. The GDM risk decreased linearly across the combined lifestyle score (Ptrend <0.001): women with 2, 3 and 4 lifestyle factors compared with those with 0-1 factor had 38% (OR 0.62, 95% CI 0.46-0.84), 57% (OR 0.43, 95% CI 0.31-0.58) and 66% (OR 0.34, 95% CI 0.22-0.52) lower risks of GDM, respectively. CONCLUSION A healthy lifestyle in early pregnancy was associated with a substantially lower GDM risk.
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Affiliation(s)
- Linjing Wu
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jing Ouyang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yuwei Lai
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ping Wu
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yi Wang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yixiang Ye
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jingyi Wang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Mengyan Hu
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jijuan Zhang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jiajing Xu
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xue Yang
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
- Section of Epidemiology and Population Health & Department of Gynecology and Obstetrics, Ministry of Education Key Laboratory of Birth Defects and Related Diseases of Women and Children & National Medical Products Administration Key Laboratory for Technical Research on Drug Products In Vitro and In Vivo Correlation, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Jiaying Yuan
- Department of Science and Education, Shuangliu Maternal and Child Health Hospital, Chengdu, China
| | - Bin Zhao
- Antenatal Care Clinics, Shuangliu Maternal and Child Health Hospital, Chengdu, China
| | - Xingyue Song
- Department of Emergency, Hainan Clinical Research Centre for Acute and Critical Diseases, The Second Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Shijiao Yan
- School of Public Health, Hainan Medical University, Haikou, Hainan, China
- Research Unit of Island Emergency Medicine, Chinese Academy of Medical Sciences, Hainan Medical University, Haikou, China
| | - Chuanzhu Lv
- Emergency Medicine Centre, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
- Key Laboratory of Emergency and Trauma of Ministry of Education, Hainan Medical University, Haikou, China
| | - Gang Liu
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Department of Nutrition & Food Hygiene, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - An Pan
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiong-Fei Pan
- Section of Epidemiology and Population Health & Department of Gynecology and Obstetrics, Ministry of Education Key Laboratory of Birth Defects and Related Diseases of Women and Children & National Medical Products Administration Key Laboratory for Technical Research on Drug Products In Vitro and In Vivo Correlation, West China Second University Hospital, Sichuan University, Chengdu, China
- Shuangliu Institute of Women's and Children's Health, Shuangliu Maternal and Child Health Hospital, Chengdu, China
- Centre for Epidemiology and Population Health, Integrated Traditional Chinese and Western Medicine Institute & Chengdu Integrated Traditional Chinese and Western Medicine Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu, China
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9
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Bastain T, Naya C, Yang T, Vigil M, Chen C, Chavez T, Toledo-Corral C, Farzan S, Habre R, Lerner D, Lurvey N, Grubbs B, Dunton G, Breton C, Eckel S. Poor Sleep Quality Increases Gestational Weight Gain Rate in Pregnant People: Findings from the MADRES Study. RESEARCH SQUARE 2023:rs.3.rs-2944456. [PMID: 37841879 PMCID: PMC10571604 DOI: 10.21203/rs.3.rs-2944456/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/17/2023]
Abstract
Background Poor sleep quality is associated with weight gain in non-pregnant populations, but evidence in pregnant people is lacking. Our study examined the association between early-to-mid pregnancy sleep quality and weekly gestational weight gain (GWG) rate during mid-to-late pregnancy by pre-pregnancy body mass index (BMI). Method Participants were 316 pregnant participants from the Maternal and Developmental Risks from Environmental and Social Stressors (MADRES) study. During early-to-mid pregnancy, participants reported their sleep quality which was used to construct four categories: very poor, poor, good, and very good. Linear growth curve models examined the association between early-to-mid pregnancy sleep quality and weekly rate of GWG (kg/week) during mid-to-late pregnancy (> 20 weeks gestation), with a three-way cross-level interaction between gestational age, sleep quality, and pre-pregnancy BMI category. Models adjusted for ethnicity by birthplace, hypertensive disorders, perceived stress score, and physical activity level. Results Overall, poorer early-to-mid pregnancy sleep quality was associated with increased weekly weight gain during mid-to-late pregnancy. For example, amongst normal weight participants, mid-to-late pregnancy weight gain was, on average, 0.39 kg (95% CI: 0.29, 0.48) per week for those with very good sleep quality, 0.53 kg (95% CI: 0.44, 0.61) per week for those with poor sleep quality, and 0.54 kg (95% CI: 0.46, 0.62) per week for those with very poor sleep quality during early-to-mid pregnancy. This difference in GWG rate was statistically significantly comparing very good to poor sleep (0.14 kg/week, 95% CI: 0.01, 0.26) and very good to very poor sleep (0.15kg/week, 85% CI: 0.02, 0.27). This association between sleep quality and GWG rate did not statistically differ by pre-pregnancy BMI. Conclusion Our study found very poor early-to-mid pregnancy sleep quality was associated with higher mid-to-late pregnancy GWG rate. Incorporating pregnancy-specific sleep recommendations into routine obstetric care may be a critical next step in promoting healthy GWG.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | - Carrie Breton
- Keck School of Medicine, University of Southern California
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10
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von Ash T, Sanapo L, Bublitz MH, Bourjeily G, Salisbury A, Petrillo S, Risica PM. A Systematic Review of Studies Examining Associations between Sleep Characteristics with Dietary Intake and Eating Behaviors during Pregnancy. Nutrients 2023; 15:2166. [PMID: 37432287 PMCID: PMC10180733 DOI: 10.3390/nu15092166] [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: 04/05/2023] [Revised: 04/22/2023] [Accepted: 04/28/2023] [Indexed: 07/12/2023] Open
Abstract
Little is known about the association between sleep and diet in pregnancy, despite both behaviors impacting maternal and fetal health. We aimed to perform a systematic review of the available literature on associations between sleep characteristics and dietary intake and eating behaviors during pregnancy, reporting on both maternal and fetal outcomes. We followed the 2020 Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and conducted our search on 27 May 2021 in the PubMed, EMBASE, and CINAHL databases. The search yielded 6785 unique articles, of which 25 met our eligibility criteria. The studies, mostly observational, published 1993-2021, include data from 168,665 participants. Studies included examinations of associations between various maternal sleep measures with a diverse set of diet-related measures, including energy or nutrient intake (N = 12), dietary patterns (N = 9), and eating behaviors (N = 11). Associations of maternal exposures with fetal/infant outcomes were also examined (N = 5). We observed considerable heterogeneity across studies precluding our ability to perform a meta-analysis or form strong conclusions; however, several studies did report significant findings. Results from this systematic review demonstrate the need for consistency in methods across studies to better understand relationships between diet and sleep characteristics during pregnancy.
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Affiliation(s)
- Tayla von Ash
- Department of Behavioral and Social Sciences, School of Public Health, Brown University, Providence, RI 02903, USA
- Center for Health Promotion and Health Equity, School of Public Health, Brown University, Providence, RI 02903, USA
| | - Laura Sanapo
- Department of Medicine, The Miriam Hospital, Alpert Medical School, Providence, RI 02904, USA
| | - Margaret H. Bublitz
- Department of Psychiatry and Human Behavior, The Miriam Hospital, Alpert Medical School, Providence, RI 02904, USA
| | - Ghada Bourjeily
- Department of Medicine, The Miriam Hospital, Alpert Medical School, Providence, RI 02904, USA
| | - Amy Salisbury
- School of Nursing, Virginia Commonwealth University, Richmond, VA 23298, USA
| | - Sophia Petrillo
- School of Public Health, Brown University, Providence, RI 02903, USA
| | - Patricia Markham Risica
- Department of Behavioral and Social Sciences, School of Public Health, Brown University, Providence, RI 02903, USA
- School of Public Health, Brown University, Providence, RI 02903, USA
- Department of Epidemiology, School of Public Health, Brown University, Providence, RI 02903, USA
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11
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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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12
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Chen Y, Lu M, Nie J, Liu J, Liu Y, Meng Y, Sun X, Ji C, Zhang J, Yang X. Increasing prevalence of gestational diabetes mellitus when carrying the T variant allele of the MTHFR gene C677T polymorphism: a systematic review and meta-analysis. Arch Gynecol Obstet 2021; 305:1193-1202. [DOI: 10.1007/s00404-021-06303-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Accepted: 10/18/2021] [Indexed: 12/28/2022]
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13
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Raizada N, Madhu SV. Sleep: an emerging therapeutic target in diabetes care. Int J Diabetes Dev Ctries 2021. [DOI: 10.1007/s13410-021-00932-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
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