Mitigating the Kinetic Hysteresis of Co-free Ni-rich Cathodes via Gradient Penetration of Nonmagnetic Silicon.

Co-free Ni-rich layered oxides are considered a promising cathode material for next-generation Li-ion batteries due to their cost-effectiveness and high capacity. However, they still suffer from the practical challenges of low discharge capacity and poor rate capability due to the hysteresis of Li-ion diffusion kinetics. Herein, based on the regulation of the lattice magnetic frustration, the Li/Ni intermixing defects as the primary origin of kinetic hysteresis are radically addressed via the doping of the nonmagnetic Si element. Meanwhile, by adopting gradient penetration doping, a robust Si-O surface structure with reversible lattice oxygen evolution and low lattice strain is constructed on Co-free Ni-rich cathodes to suppress the formation of surface dense  barrier layer. With the remarkably enhanced Li-ion diffusion kinetics in atomic and electrode particle scales, the as-obtained cathodes (LiNixMn1-xSi0.01O2, 0.6 ≤ x ≤ 0.9) achieve superior performance in discharge capacity, rate capability, and durability. This work highlights the coupling effect of magnetic structure and interfacial chemicals on Li-ion transport properties, and the concept will inspire more researchers to conduct an intensive study.

Acceptance level of advance care planning and its associated factors among the public: A nationwide survey.

BACKGROUND: Advance care planning (ACP) can contribute to individuals making decisions about their healthcare preferences in advance of serious illness. Up to now, the acceptance level and associated factors of ACP among the public in China remain unclear. This study aims to investigate the acceptance level of ACP in China and identify factors associated with it based on the socioecological model. METHODS: A total of 19,738 participants were included in this survey. We employed a random forest regression analysis to select factors derived from the socioecological model. Multivariate generalized linear model analysis was then conducted to explore the factors that were associated with the acceptance level of ACP. RESULTS: On a scale ranging from 0 to 100, the median score for acceptance level of ACP was 64.00 (IQR: 48.00-83.00) points. The results of the multivariate generalized linear model analysis revealed that participants who scored higher on measures of openness and neuroticism personality traits, as well as those who had greater perceptions of social support, higher levels of health literacy, better neighborly relationships, family health, and family social status, were more likely to accept ACP. Conversely, participants who reported higher levels of subjective well-being and greater family communication levels demonstrated a lower likelihood of accepting ACP. CONCLUSIONS: This study identified multiple factors associated with the acceptance level of ACP. The findings offer valuable insights that can inform the design and implementation of targeted interventions aimed at facilitating a good death and may have significant implications for the formulation of end-of-life care policies and practices in other countries facing similar challenges.

Effects of Zishen Yutai pills combined with metformin on women with polycystic ovary syndrome undergoing in vitro fertilization.

In this study, we analyzed the clinical efficacy of Zishen Yutai pills (ZSYTP) combined with metformin hydrochloride on infertile women diagnosed with polycystic ovary syndrome (PCOS) undergoing in vitro fertilization and embryo transfer (IVF-ET). Patients were assigned into 3 groups: the ZSYTP group (n = 50), the metformin group (n = 50), and the combination group (ZSYTP combined with metformin hydrochloride, n = 50), based on their respective and the indicated treatments before undergoing IVF-ET. Then, their glucose metabolism indices, sex hormone indices, traditional Chinese medicine (TCM) syndrome scores, and outcomes of IVF-ET were compared. Baseline characteristics were not significantly different between the 2 groups. After treatment, various parameters such as body mass index (BMI), fasting plasma glucose (FPG), fasting insulin (FIN), homeostatic model assessment of insulin resistance (HOMA-IR), luteinizing hormone (LH), estradiol (E2), follicle-stimulating hormone (FSH), testosterone (T) levels, and TCM syndrome scores were found to be reduced compared to pretreatment levels in both groups. Moreover, the improvement observed in the treatment group exceeded that of the control group. Specifically, the observation group displayed significantly lower gonadotropin (Gn) dosage and duration, as well as a reduced abortion rate compared to the control group. Furthermore, the observation group had higher numbers of obtained eggs, high-quality embryos, eggs obtained through IVF-ET, average transferred embryos, clinical pregnancy rate, and embryo implantation rate compared to the control group. Pretreatment with ZSYTP combined with metformin before IVF-ET in PCOS patients improves the outcome of IVF-ET.

Study on the mesomechanical behavior and damage process of coal samples with hole defects under eccentric loading.

When using end shield shearer to recover end slope coal resources, the stability of the overlying rock slope of the end slope is controlled by leaving coal pillars. Due to the influence of the self weight of the overlying rock layer, the coal pillar will be subjected to eccentric loads, and the influence of eccentric loads needs to be considered in the design of the coal pillar size. With the help of PFC discrete element software, uniaxial compression tests were carried out on coal sample containing hole defects under different degrees of eccentric loads based on the calibration of micro mechanical parameters. The results show that the peak stress, cracking stress and dilatancy stress of coal sample decrease in a linear function law with the increase of load eccentricity coefficient. The evolution of the number of microscopic cracks during uniaxial compression under eccentric load can be divided into four stages: the calm stage before crack initiation I, the stable propagation stage II, the unstable propagation and penetration stage III, and the post failure stage IV. The distribution of macroscopic cracks is jointly influenced by the relative position of the loading area and the hole defect. When the hole defect is within the loading area, the hole plays a guiding role in the evolution of coal sample cracks, and the macroscopic crack runs through the edge of the loading area and the hole. When the hole defect is located outside the loading zone, the degree of eccentric load is large, weakening the guiding effect of the hole defect on the crack, and the macroscopic crack does not pass through the hole defect.

A clustering-based differential privacy protection algorithm for weighted social networks.

Weighted social networks play a crucial role in various fields such as social media analysis, healthcare, and recommendation systems. However, with their widespread application and privacy issues have become increasingly prominent, including concerns related to sensitive information leakage, individual behavior analysis, and privacy attacks. Despite traditional differential privacy protection algorithms being able to protect privacy for edges with sensitive information, directly adding noise to edge weights may result in excessive noise, thereby reducing data utility. To address these challenges, we proposed a privacy protection algorithm for weighted social networks called DCDP. The algorithm combines the density clustering algorithm OPTICS to partition the weighted social network into multiple sub-clusters and adds noise to different sub-clusters at random sampling frequencies. To enhance the balance of privacy protection, we designed a novel privacy parameter calculation method. Through theoretical derivation and experimentation, the DCDP algorithm demonstrated its capability to achieve differential privacy protection for weighted social networks while effectively maintaining data accuracy. Compared to traditional privacy protection algorithms, the DCDP algorithm reduced the average relative error by approximately 20% and increases the proportion of unchanged shortest paths by about 10%. In summary, we aimed to address privacy issues in weighted social networks, providing an effective method to protect user-sensitive information while ensuring the accuracy and utility of data analysis.

Elaborating the Crystal Water of Prussian Blue for Outstanding Performance of Sodium Ion Batteries.

Prussian blue (PB) is one of the main cathode materials with industrial prospects for the sodium ion battery. The structural stability of PB materials is directly associated with the presence of crystal water within the open 3D framework. However, there remains a lack of consensus regarding whether all forms of crystal water have detrimental effects on the structural stability of the PB materials. Currently, it is widely accepted that interstitial water is the stability troublemaker, whereas the role of coordination water remains elusive. In this work, the dynamic evolution of PB structures is investigated during the crystal water (in all forms) removal process through a variety of online monitoring techniques. It can be inferred that the PB-130 °C retains trace coordination water (1.3%) and original structural integrity, whereas PB-180 °C eliminates almost all of crystal water (∼12.1%, including both interstitial and coordinated water), but inevitably suffers from structural collapse. This is mainly because the coordinated water within the PB material plays a crucial role in maintaining structural stability via forming the -N≡C-FeLS-C≡N- conjugate bridge. Consequently, PB-130 °C with trace coordination water delivers superior reversible capacity (113.6 mAh g-1), high rate capability (charge to >80% capacity in 3 min), and long cycling stability (only 0.012% fading per cycle), demonstrating its promising prospect in practical applications.

A two-stage intrusion detection method based on light gradient boosting machine and autoencoder.

Intrusion detection systems can detect potential attacks and raise alerts on time. However, dimensionality curses and zero-day attacks pose challenges to intrusion detection systems. From a data perspective, the dimensionality curse leads to the low efficiency of intrusion detection systems. From the attack perspective, the increasing number of zero-day attacks overwhelms the intrusion detection system. To address these problems, this paper proposes a novel detection framework based on light gradient boosting machine (LightGBM) and autoencoder. The recursive feature elimination (RFE) method is first used for dimensionality reduction in this framework. Then a focal loss (FL) function is introduced into the LightGBM classifier to boost the learning of difficult samples. Finally, a two-stage prediction step with LightGBM and autoencoder is performed. In the first stage, pre-decision is conducted with LightGBM. In the second stage, a residual is used to make a secondary decision for samples with a normal class. The experiments were performed on the NSL-KDD and UNSWNB15 datasets, and compared with the classical method. It was found that the proposed method is superior to other methods and reduces the time overhead. In addition, the existing advanced methods were also compared in this study, and the results show that the proposed method is above 90% for accuracy, recall, and F1 score on both datasets. It is further concluded that our method is valid when compared with other advanced techniques.

Downregulation of miR­7 and miR­153 is involved in Helicobacter pylori CagA induced gastric carcinogenesis and progression.

Helicobacter pylori (H. pylori) infection plays a pivotal role in the development of gastric cancer (GC). However, the association between aberrant microRNAs (miRNAs/miRs) expression and H. pylori­induced GC remains poorly understood. The present study reported that repeated infection of H. pylori caused the oncogenicity of GES­1 cells in BALB/c Nude mice. miRNA sequencing revealed that both miR­7 and miR­153 were significantly decreased in the cytotoxin­associated gene A (CagA) positive GC tissues and this was further confirmed in a chronic infection model of GES­1/HP cells. Further biological function experiments and in vivo experiments validated that miR­7 and miR­153 can promote apoptosis and autophagy, inhibit proliferation and inflammatory response in GES­1/HP cells. All the associations between miR­7/miR­153 and their potential targets were revealed via bioinformatics prediction and dual­luciferase reporter assay. Particularly, downregulation of both miR­7 and miR­153 obtained an improved sensitivity and specificity in diagnosing H. pylori (CagA+)­induced GC. The present study identified that the combination of miR­7 and miR­153 may be regarded as novel therapeutic targets in H. pylori CagA (+)­associated GC.

Metabolomic analysis of aqueous humor reveals potential metabolite biomarkers for differential detection of macular edema.

BACKGROUND: Macular edema (ME) is a major complication of retinal disease with multiple mechanisms involved in its development. This study aimed to investigate the metabolite profile of aqueous humor (AH) in patients with ME of different etiologies and identify potential metabolite biomarkers for early diagnosis of ME. METHODS: Samples of AH were collected from 60 patients with ME and 20 age- and sex-matched controls and analyzed by liquid chromatography-mass spectrometry (LC/MS)-based metabolomics. A series of univariate and multivariate statistical analyses were performed to identify differential metabolites and enriched metabolite pathways. RESULTS: The metabolic profile of AH differed significantly between ME patients and healthy controls, and differentially expressed metabolites were identified. Pathway analysis revealed that these differentially expressed metabolites are mainly involved in lipid metabolism and amino acid metabolism. Moreover, significant differences were identified in the metabolic composition of AH from patients with ME due to different retinal diseases including age-related macular degeneration (AMD-ME), diabetic retinopathy (DME) and branch retinal vein occlusion (BRVO-ME). In total, 39 and 79 etiology-specific altered metabolites were identified for AMD-ME and DME, respectively. Finally, an AH-derived machine learning-based diagnostic model was developed and successfully validated in the test cohort with an area under the receiver operating characteristic (ROC) curve of 0.79 for AMD-ME, 0.94 for DME and 0.77 for BRVO-ME. CONCLUSIONS: Our study illustrates the potential underlying metabolic basis of AH of different etiologies across ME populations. We also identify AH-derived metabolite biomarkers that may improve the differential diagnosis and treatment stratification of ME patients with different etiologies.

Roles of microRNAs and exosomes in Helicobacter pylori associated gastric cancer.

Helicobacter pylori (H. pylori) is a common pathogen that infects more than half of the world's population. Its infection can not only lead to a variety of gastrointestinal diseases, such as chronic gastritis and gastric cancer (GC) but also be associated with many extra-gastrointestinal diseases. Exosomes, as a new intercellular information transmission medium, can carry biological signal molecules such as microRNAs (miRNAs) to regulate a variety of cellular physiological activities and are involved in multiple cancer processes. In this article, we provide a systematic review on the role of exosomal miRNAs in H. pylori-associated GC.

[Etiology and related clinical indicators of liver failure: an analysis of 3-year case data of Wuxi designated hospital for treatment of liver failure].

OBJECTIVE: To analyze the characteristics of etiology and clinical indicators of hepatitis B virus (HBV) and non-HBV liver failure, and to evaluate their potential roles in reflecting disease outcomes. METHODS: The clinical data of 369 patients with liver failure admitted to the intensive care unit (ICU) of the Fifth People's Hospital of Wuxi which was the designated hospital for treatment of liver failure from January 2018 to December 2020 were retrospectively analyzed. The classification and comparison of etiology of non-HBV and HBV liver failure patients were performed according to the Guidelines on the Diagnosis and Treatment of Liver Failure (2018 edition). The indicators of liver failure related etiologies, including gender, age, anticoagulant enzyme III (AT III), total bilirubin (TBil), length of ICU stay, hepatic encephalopathy, underlying disease (liver cirrhosis and liver cancer, etc.) and usage of artificial liver were analyzed. According to the 6-month follow-up results after discharge, the differences in the etiological indicators of died and survival patients and the outcome of patients with different types of liver failure were analyzed. RESULTS: A total of 369 patients were enrolled, including 134 (36.3%) with liver failure not caused by HBV and 235 (63.7%) with liver failure caused by HBV. The male with HBV-related liver failure was 4.34 times higher than female (cases: 191 vs. 44), which was higher than non-HBV-related liver failure (1.03 times, cases: 68 vs. 66). The 6-month follow-up showed that the proportion of male with HBV-related liver failure who died and survived was significantly higher than that of female (78.76% vs. 21.24% in died patients, 92.86% vs. 7.14% in survival patients, both P < 0.01). The age of died patients in the non-HBV-related liver failure group was significantly higher than that of the survival patients (years: 58.53±0.15 vs. 54.38±3.01, P < 0.05), and the AT III level was significantly lower than that of the survival patients [(32.20±6.43)% vs. (38.63±2.74)%, P < 0.05]. The length of ICU stay of the died HBV-related liver failure group was significantly shorter than that of the survival patients (days: 23.77±11.74 vs. 35.51±2.85, P < 0.01). The 6-month mortality after discharge of HBV-related liver failure combined with liver cancer was significantly higher than that of non-HBV-related liver failure (12.34% vs. 2.24%, P < 0.01), but there was no significant difference in 6-month mortality after discharge of patients receiving artificial liver and those with hepatic encephalopathy and cirrhosis between different types of liver failure groups. CONCLUSIONS: HBV is the main cause of liver failure. Patients with HBV-related liver failure were younger and had a longer hospitalization period, which was conducive to the recovery of the disease. HBV-related liver failure accompanied with liver cancer is the main factors of death. The AT III has the potential value to reflect the disease outcome.

Damage evolution and fracture behavior of different materials specimens containing a central hole subjected to local loading.

The strength of the different materials specimens containing a central hole subjected to varying loading areas constitutes lots of underground engineering such as entry arrangement and mining process. In this study, the failure resulted from micro-fracturing in the specimen, which can be characterized by the crack propagation path if the damage events are monitored by using Digital Image Correlation (DIC), infrared thermal imager and high-speed camera. The experimental results demonstrate that there are three different types of typical failure modes for specimens with central holes according to the loading areas. The evolution of the temperature field is shown for various loading areas, the smaller loading area, the greater the stress concentration, and the more pronounced the thermodynamic features. The temperature field can also be associated with material properties in addition to loading area. Additionally, failure around the hole with redistributed stress has been observed, and strain energy density (SED) can help explain the failure mechanisms. The progressive damage process, which takes into account the heterogeneity in elastic modulus and rock strength characteristic, is demonstrated by developing a constitutive model that uses the uniaxial compression and Brazilian disc tests to parameterize it. By comparison with plastic zone, the proposed constitutive model is used to quantitatively evaluate the accumulation of damage. Failure mechanisms are established based on this work and are anticipated to be extensively utilized in engineering applications.

Secondhand smoking exposure and quality of life among pregnant and postnatal women: a network approach.

OBJECTIVE: This study examined the prevalence of exposure to secondhand smoke, its correlates and its association with quality of life (QOL) among pregnant and postnatal Chinese women. DESIGN: This was a multicentre, cross-sectional study. SETTING: Participants were consecutively recruited from eight tertiary hospitals located in eight municipalities or provinces in China. PARTICIPANTS: A total of 1140 women were invited to join this study and 992 (87.02%) completed all measures. PRIMARY AND SECONDARY OUTCOME: Measures women's secondhand smoking behaviour (frequency and location of exposure to secondhand smoking), and their QOL measured by the WHO Quality of Life Questionnaire. RESULTS: A total of 211 women (21.3%, 95% CI 18.7% to 23.8%) had been exposed to secondhand smoking. Exposure to secondhand smoking was most common in public areas (56.4%), and residential homes (20.5%), while workplaces had the lowest rate of exposure (13.7%). Women with physical comorbidities were more likely to report secondhand smoking exposure, while older women, women living in urban areas, those with college or higher education level, and women in their second trimester were less likely to report exposure to secondhand smoking. Network analysis revealed that there were six significant links between secondhand smoke and QOL items. The strongest negative edge was the connection between secondhand smoke and QOL9 ('physical environment health', edge weight=-0.060), while the strongest positive edge was the connection between secondhand smoke and QOL3 ('pain and discomfort', edge weight=0.037). CONCLUSION: The prevalence of exposure to secondhand smoking is becoming lower among pregnant and postnatal women in China compared with findings reported in previous studies. Legal legislation should be maintained and promptly enforced to establish smoke-free environments in both public and private urban/rural areas for protection of pregnant and postnatal women, especially those who are physically vulnerable and less educated.

Significance of a PTEN Mutational Status-Associated Gene Signature in the Progression and Prognosis of Endometrial Carcinoma.

BACKGROUND: PTEN mutations have been reported to be involved in the development and prognosis of endometrial carcinoma (EC). However, a prognostic gene signature associated with PTEN mutational status has not yet been developed. In this study, we generated a PTEN mutation-associated prognostic gene signature for EC. METHODS: We obtained the single-nucleotide variation and transcriptomic profiling data from The Cancer Genome Atlas database as training data and implemented the least absolute shrinkage and selection operator (LASSO) Cox regression algorithm to establish a PTEN mutation-associated prognostic gene signature. The overall survival rates of the high-risk and low-risk groups were determined with the Kaplan-Meier (K-M) method, and the accuracy of risk score prediction was tested by using the receiver operating characteristic (ROC) curve. RESULTS: The K-M curves revealed that the EC patients with PTEN mutations augured favorable survival outcomes. Differential expression analysis between the EC patients with PTEN mutation and wild-type PTEN identified 224 differentially expressed genes (DEGs). Eighty-four DEGs that manifested prognostic value were fitted into the LASSO-Cox analysis, and a PTEN gene signature with seven mutation-associated prognostic genes that showed robust prognostic ability was constructed; this signature was then successfully validated in the other two datasets from the cBioPortal database as well as with 60 clinical specimens. Furthermore, the PTEN mutation-associated prognostic gene signature proved to be an independent prognostic predictor of EC. Remarkably, the EC patients in the high-risk group were characterized by higher tumor stages and grades as well as lower tumor mutation burden with respect to EC, with a poor survival outcome. Collectively, the PTEN mutation-associated prognostic gene signature that we developed could now be used as a favorable prognostic biomarker for EC. CONCLUSION: In summary, we developed and validated a prognostic predictor for EC associated with PTEN mutational status that may be used as a favorable prognostic biomarker and therapeutic target for EC.

Prevalence, correlates, and network analysis of Internet addiction symptoms among Chinese pregnant and postpartum women.

OBJECTIVE: Excessive Internet use is a common health problem globally. This study aimed to assess the prevalence, correlates, and network structure of Internet addiction symptoms (Internet addiction hereafter) among Chinese pregnant and postpartum women. METHODS: This was a multicenter cross-sectional study using Internet Addiction Test (IAT) and the World Health Organization Quality of Life Questionnaire (WHOQOL-BREF) to evaluate Internet addiction and quality of life (QOL), respectively. Univariate analyses, multivariate logistic regression analyses, and network analyses were performed. RESULTS: Of a total of 1,060 women who completed the study, 320 (30.19%, 95% CI=27.42%-32.96%) women reported Internet addiction during or after pregnancy. Women with previous adverse pregnancy experiences (OR=1.831, P=0.001) and physical comorbidities (OR=1.724, P=0.004) had a higher likelihood of developing Internet addiction. Internet addiction was significantly associated with poor QOL in all domains. Network analyses revealed that IAT item 16 (request an extension for longer time spent online) was the most central symptom in the analyses, and also one of the strongest bridging symptoms linking the Internet addiction and QOL communities. LIMITATIONS: This was a cross-sectional study, all study findings were based on self-reported data, and possible recall bias and selection bias may exist. CONCLUSION: Internet addiction is common among Chinese pregnant and postpartum women, and is significantly associated with lower QOL. Effective strategies, especially focusing on central symptoms, are needed to reduce the impact of Internet addiction and improve QOL in pregnant and postpartum women.

Identification of Immune-Related Biomarkers for Sciatica in Peripheral Blood.

Objective: Sciatica pertains to neuropathic pain that has been associated with inflammatory response. We aimed to identify significant immune-related biomarkers for sciatica in peripheral blood. Methods: We utilized the GSE150408 expression profiling data from the Gene Expression Omnibus (GEO) database as the training dataset and extracted immune-related genes for further analysis. Differentially expressed immune-related genes (DEIRGs) between healthy controls and patients with sciatica were selected using the "limma" package and verified in clinical specimens by quantitative reverse transcription PCR (RT-qPCR). A diagnostic immune-related gene signature was established using the training model and random forest (RF), generalized linear model (GLM), and support vector machine (SVM) models. Sciatica patient subtypes were identified using the consensus clustering method. Results: Thirteen significant DEIRGs were acquired, of which five (CRP, EREG, FAM19A4, RLN1, and WFIKKN1) were selected to establish a diagnostic immune-related gene signature according to the most appropriate training model, namely, the RF model. A clinical application nomogram model was established based on the expression level of the five DEIRGs. The sciatica patients were divided into two subtypes (C1 and C2) according to the consensus clustering method. Conclusions: Our research established a diagnostic five immune-related gene signature to discriminate sciatica and identified two sciatica subtypes, which may be beneficial to the clinical diagnosis and treatment of sciatica.

Nomogram for predicting survival of patients with metastatic nonfunctioning pancreatic neuroendocrine tumors: A SEER based study.

ABSTRACT: More attention has been placed on nonfunctioning pancreatic neuroendocrine tumors due to the increase in its incidence in recent years. Whether tumor resection at the primary site of metastatic NFpNET is effective remains controversial. Moreover, clinicians need a more precise prognostic tool to estimate the survival of these patients.Patients with metastatic NFpNET were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. Significant prognostic factors were identified using a multivariate Cox regression model and included in the nomogram. Coarsened exact matching analysis was used to balance the clinical variables between the non-surgical and surgical groups in our study.A total of 1464 patients with metastatic nonfunctioning pancreatic neuroendocrine tumors (NFpNETs) were included in our cohort. Multivariate analysis identified age, sex, tumor size, differentiated grade, lymph node metastases, resection of primary tumors, and marital status as independent predictors of metastatic NFpNET. The nomogram showed excellent accuracy in predicting 1-, 3-, and 5-year overall survival, with a C-index of 0.812. The calibration curve revealed good consistency between the predicted and actual survival.Coarsened exact matching analysis using SEER data indicated the survival advantages of resection of primary tumors. Our study is the first to build a nomogram model for patients with metastatic NFpNETs. This predictive tool can help clinicians identify high-risk patients and more accurately assess patient survival times.

The Prevalence of Depression and Its Association With Quality of Life Among Pregnant and Postnatal Women in China: A Multicenter Study.

Background: This study examined the prevalence of depressive symptoms (depression hereafter) and its association with quality of life (QOL) among pregnant and postnatal women in China. Methods: In this multi-center, cross-sectional study, 1,060 pregnant and postnatal women from eight hospitals were assessed. Depression and QOL were measured using the Edinburgh Postnatal Depression Scale and the World Health Organization Quality of Life Questionnaire - brief version, respectively. Results: The prevalence of depression was 7.45% (95% CI: 5.87-9.04%) in the sample. Women with depression had lower QOL in physical, psychological, social and environmental domains compared to those without. Women with physical comorbidities were more likely to suffer from depression (OR = 2.391, 95% CI = 1.384-4.130, P = 0.002). Conclusion: Due to its negative association with QOL, increased attention should be paid to depression in pregnant and postnatal women. Regular screening assessment and preventive measures should be adopted to reduce risk of depression in this population.