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Li X, Fang L, Guan L, Zhang J, Zheng M, Zhu D. The effects of light therapy on depression and sleep in women during pregnancy or the postpartum period: A systematic review and meta-analysis. Brain Behav 2023; 13:e3339. [PMID: 38031199 PMCID: PMC10726786 DOI: 10.1002/brb3.3339] [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: 08/16/2023] [Revised: 11/02/2023] [Accepted: 11/11/2023] [Indexed: 12/01/2023] Open
Abstract
BACKGROUND In recent years, light therapy has been tried for the treatment of depression and sleep in pregnancy or postnatal period women, but the results have been inconclusive. This meta-analysis is the first to systematically review the effects of light therapy on depression and sleep disturbances in women during pregnancy and the postnatal period. METHODS We searched for randomized controlled studies in PubMed, Embase, Cochrane Library, Web of Science, Chinese National Knowledge Infrastructure, and Chinese Biomedical Database up to January 2023. The standardized mean difference (SMD) was used to assess the efficacy of the outcome indicators. RESULTS Eight studies were eventually included in the analysis. The results showed that light therapy was more effective than the placebo group in terms of depression (SMD = .34, CI = .08-.61) and sleep (SMD = .64,95%CI = .28-1.00). Subgroup analysis could not explain the significant heterogeneity. There were no serious adverse effects in either the light therapy or placebo groups. CONCLUSIONS Light therapy could be considered an effective treatment for depression and sleep disturbances in women during pregnancy and the postnatal period. However, future high-quality trials with larger sample sizes are still needed.
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Affiliation(s)
- Xinyu Li
- The School of Mental Health and Psychological SciencesAnhui Medical UniversityHefeiAnhuiChina
- Department of Sleep DisordersAffiliated Psychological Hospital of Anhui Medical UniversityHefeiAnhuiChina
- Department of Sleep DisordersAnhui Mental Health CenterHefeiAnhuiChina
- Department of Sleep DisordersHefei Fourth People's HospitalHefeiAnhuiChina
| | - Liang Fang
- Department of Sleep DisordersAffiliated Psychological Hospital of Anhui Medical UniversityHefeiAnhuiChina
- Department of Sleep DisordersAnhui Mental Health CenterHefeiAnhuiChina
- Department of Sleep DisordersHefei Fourth People's HospitalHefeiAnhuiChina
| | - Lianzi Guan
- The School of Mental Health and Psychological SciencesAnhui Medical UniversityHefeiAnhuiChina
- Department of Sleep DisordersAffiliated Psychological Hospital of Anhui Medical UniversityHefeiAnhuiChina
- Department of Sleep DisordersAnhui Mental Health CenterHefeiAnhuiChina
- Department of Sleep DisordersHefei Fourth People's HospitalHefeiAnhuiChina
| | - Jiajia Zhang
- Department of Sleep DisordersAffiliated Psychological Hospital of Anhui Medical UniversityHefeiAnhuiChina
- Department of Sleep DisordersAnhui Mental Health CenterHefeiAnhuiChina
- Department of Sleep DisordersHefei Fourth People's HospitalHefeiAnhuiChina
| | - Mingming Zheng
- Department of Sleep DisordersAffiliated Psychological Hospital of Anhui Medical UniversityHefeiAnhuiChina
- Department of Sleep DisordersAnhui Mental Health CenterHefeiAnhuiChina
- Department of Sleep DisordersHefei Fourth People's HospitalHefeiAnhuiChina
| | - Daomin Zhu
- The School of Mental Health and Psychological SciencesAnhui Medical UniversityHefeiAnhuiChina
- Department of Sleep DisordersAffiliated Psychological Hospital of Anhui Medical UniversityHefeiAnhuiChina
- Department of Sleep DisordersAnhui Mental Health CenterHefeiAnhuiChina
- Department of Sleep DisordersHefei Fourth People's HospitalHefeiAnhuiChina
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Yue M, Jin C, Jiang X, Xue X, Wu N, Li Z, Zhang L. Causal Effects of Gut Microbiota on Sleep-Related Phenotypes: A Two-Sample Mendelian Randomization Study. Clocks Sleep 2023; 5:566-580. [PMID: 37754355 PMCID: PMC10527580 DOI: 10.3390/clockssleep5030037] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Revised: 08/31/2023] [Accepted: 09/04/2023] [Indexed: 09/28/2023] Open
Abstract
Increasing evidence suggests a correlation between changes in the composition of gut microbiota and sleep-related phenotypes. However, it remains uncertain whether these associations indicate a causal relationship. The genome-wide association study summary statistics data of gut microbiota (n = 18,340) was downloaded from the MiBioGen consortium and the data of sleep-related phenotypes were derived from the UK Biobank, the Medical Research Council-Integrative Epidemiology Unit, Jones SE, the FinnGen consortium. To test and estimate the causal effect of gut microbiota on sleep traits, a two-sample Mendelian randomization (MR) approach using multiple methods was conducted. A series of sensitive analyses, such as horizontal pleiotropy analysis, heterogeneity test, MR Steiger directionality test and "leave-one-out" analysis as well as reverse MR analysis, were conducted to assess the robustness of MR results. The genus Anaerofilum has a negative causal effect on getting up in the morning (odd ratio = 0.977, 95% confidence interval: 0.965-0.988, p = 7.28 × 10-5). A higher abundance of order Enterobacteriales and family Enterobacteriaceae contributed to becoming an "evening person". Six and two taxa were causally associated with longer and shorter sleep duration, respectively. Specifically, two SCFA-produced genera including Lachnospiraceae UCG004 (odd ratio = 1.029, 95% confidence interval = 1.012-1.046, p = 6.11 × 10-4) and Odoribacter contribute to extending sleep duration. Two obesity-related genera such as Ruminococcus torques (odd ratio = 1.024, 95% confidence interval: 1.011-1.036, p = 1.74 × 10-4) and Senegalimassilia were found to be increased and decreased risk of snoring, respectively. In addition, we found two risk taxa of insomnia such as the order Selenomonadales and one of its classes called Negativicutes. All of the sensitive analysis and reverse MR analysis results indicated that our MR results were robust. Our study revealed the causal effect of gut microbiota on sleep and identified causal risk and protective taxa for chronotype, sleep duration, snoring and insomnia, which has the potential to provide new perspectives for future mechanistic and clinical investigations of microbiota-mediated sleep abnormal patterns and provide clues for developing potential microbiota-based intervention strategies for sleep-related conditions.
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Affiliation(s)
- Min Yue
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
- Microbiome-X, National Institute of Health Data Science of China & Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
| | - Chuandi Jin
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
- Microbiome-X, National Institute of Health Data Science of China & Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
| | - Xin Jiang
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
- Microbiome-X, National Institute of Health Data Science of China & Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
| | - Xinxin Xue
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
- Microbiome-X, National Institute of Health Data Science of China & Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
| | - Nan Wu
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
- Microbiome-X, National Institute of Health Data Science of China & Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
| | - Ziyun Li
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
- Microbiome-X, National Institute of Health Data Science of China & Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
| | - Lei Zhang
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
- Microbiome-X, National Institute of Health Data Science of China & Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, China
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