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Background With the rapid development of economy and the change of fertility concept in modern population, the number of advanced maternal age is increasing year by year. Compared with appropriate maternal age, advanced maternal age is more likely to suffer from depressive symptoms due to personal, family, work, and other reasons. Objective To systematically evaluate the detection rate of postpartum depression in advanced maternal age (≥35 years at delivery) in China to provide relevant evidence for early prevention and intervention. Methods CNKI, Wanfang, VIP, CBM, PubMed, Cochrane Library, Embase, and Web of Science were searched for articles on the detection rate of postpartum depression in advanced maternal age in China by combining subject terms and free terms from inception to July 2023. The process of literature screening, data extraction and quality assessment were carried out by two researchers independently. Stata 16.0 software was used for data analysis. Results A total of 21 studies were included, with a total sample size of 5 163. The results of Meta-analysis showed that the overall detection rate of postpartum depression in advanced maternal age in China was 20.0% (95%CI=17.4%-22.6%). The subgroup analysis revealed that the detection rate of postpartum depression was 19.5% (95%CI=13.8%-25.3%) in women < 40 years old, 40.3% (95%CI=11.4%-69.3%) in women ≥ 40 years old, 19.7% (95%CI=11.7%-27.7%) in women with high school education level or higher, 30.7% (95%CI=19.1%-42.3%) in women with high school education level or lower, 21.1% (95%CI=14.4%-27.9%) in primipara, 16.2% (95%CI=12.9%-19.6%) in multipara, 16.4% (95%CI=12.2%-20.6%) in natural childbirth, 27.8% (95%CI=20.9%-34.8%) in cesarean section, 20.7% (95%CI=15.6%-25.8%) in women with male newborn and 27.3% (95%CI=20.5%-34.0%) in women with female newborn; there were 38.7% (95%CI=22.6%-54.8%) women with pregnancy complications, 11.7% (95%CI=7.6%-15.8%) women without pregnancy complications, 29.5% (95%CI=17.9%-41.1%) women with adverse pregnancy and childbirth history, 27.7% (95%CI=16.6%-38.8%) women without adverse pregnancy and childbirth history, 18.0% (95%CI=16.5%-19.4%) published the year before 2020, 19.5% (95%CI=18.0%-21.0%) published the year after 2020, 20.4% (95%CI=18.2%-22.6%) in the north and 18.2% (95%CI=17.0%-19.4%) in the south, 20.0% (95%CI=18.5%-21.5%) in the Edinburgh Postnatal Depression Scale (EPDS) score ≥ 13 and 16.9% (95%CI=15.2%-18.5%) in the EPDS score ≥ 10. The Egger's test (t=1.76, P=0.095) and the Begg's test (Z=1.48, P=0.147) indicated no significant publication bias. Conclusion The detection rate of postpartum depression is higher for advanced maternal age in China, including women ≥ 40 years old, with high school education level or lower, primipara, cesarean section, female newborn, pregnancy complications and adverse pregnancy and childbirth history, publish year after 2020, areas of the north, EPDS score ≥ 13, attention should be paid to the psychological status of advanced maternal age, and corresponding prevention and intervention measures should be formulated.

Objective: This study aimed to systematically assess the clinical efficacy of non-invasive brain stimulation (NIBS) for treating post-stroke sleep disorders (PSSD). Methods: We conducted thorough literature search across multiple databases, including PubMed, Web of Science, EmBase, Cochrane Library, Scopus, China Biology Medicine (CBM); China National Knowledge Infrastructure (CNKI); Technology Periodical Database (VIP), and Wanfang Database, focusing on RCTs examining NIBS for PSSD. Meta-analyses were performed using RevMan 5.4 and Stata 14. Results: Eighteen articles were reviewed, including 16 on repetitive Transcranial Magnetic Stimulation (rTMS), one on Theta Burst Stimulation (TBS), and two on transcranial Direct Current Stimulation (tDCS). Meta-analysis results indicated that rTMS within NIBS significantly improved the Pittsburgh Sleep Quality Index (PSQI) score (MD = −1.85, 95% CI [−2.99, −0.71], p < 0.05), the 17-item Hamilton Depression Rating Scale (HAMD-17) score [MD = −2.85, 95% CI (−3.40, −2.30), p < 0.05], and serum brain-derived neurotrophic factor (BDNF) levels [MD = 4.19, 95% CI (2.70, 5.69), p < 0.05], while reducing the incidence of adverse reactions [RR = 0.36, 95% CI (0.23, 0.55), p < 0.05]. TBS significantly improved the PSQI score in patients with PSSD (p < 0.05). Conversely, tDCS significantly improved the HAMD-17 score in PSSD patients [MD = −1.52, 95% CI (−3.41, −0.64), p < 0.05]. Additionally, rTMS improved sleep parameters, including Stage 2 sleep (S2%) and combined Stage 3 and 4 sleep (S3 + S4%) (p < 0.05), while tDCS improved total sleep time (TST) and sleep efficiency (SE) (p < 0.05).Subgroup analysis results indicated: (1) Both LF-rTMS and HF-rTMS improved PSQI scores (p < 0.05). (2) Both rTMS combined with medication and rTMS alone improved PSQI scores (p < 0.05). Compared to the sham/blank group, the rTMS group showed improvements in SE, sleep latency (SL), S1%, S3 + S4%, and REM sleep (REM%). The rTMS combined with medication group showed improved SL compared to the medication-only group (p < 0.05). Conclusion: NIBS effectively improves sleep quality, structure, depression levels, and BDNF levels in PSSD patients, while also being safe. Further investigations into the potential of NIBS in PSSD treatment may provide valuable insights for clinical applications. Systematic review registration: https://www.crd.york.ac.uk/prospero/, CRD42023485317. [ABSTRACT FROM AUTHOR]

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Copyright of Transactions of Nanjing University of Aeronautics & Astronautics is the property of Editorial Department of Journal of Nanjing University of Aeronautics & Astronautics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)