Learned Helplessness and Associated Factors Among Patients with Lung Cancer.

Purpose: Learned helplessness (LH) is the psychological state in which an individual experiences multiple failures and setbacks and experiences a sense of loss when facing the current situation. It is a significant burden for lung cancer patients that can impair quality of life and lead to physical, social, and psychological difficulties. Thus, this study aimed to determine the level of LH among patients with lung cancer and identify factors associated with LH. Patients and Methods: From August 2022 to March 2023, 237 patients with lung cancer from Chongqing University Cancer Hospital were selected for this study. A general information questionnaire, the LH scale, the Brief Illness Perception questionnaire, the Strategies Used by People to Promote Health questionnaire, the Medical Coping Modes questionnaire, and the Self-esteem scale were used for the investigation. Multiple linear regression was employed to identify influencing factors for LH in patients with lung cancer. Results: The total LH score of patients with lung cancer was 52.19±11.20. Multiple linear regression analysis showed that illness perception (ß=0.249, P=0.001), self-efficacy (ß=-0.194, P=0.017), and resignation coping mode (ß=0.267, P<0.001) were the main influencing factors of LH (P<0.05), which explained 42.0% of the total variance. Conclusion: The score of LH in patients with lung cancer was at a moderate level in this study. Illness perception, self-efficacy, and resignation coping mode have been found to impact LH among patients with lung cancer. Healthcare professionals should implement effective interventions, such as promoting self-efficacy, encouraging positive coping, and reducing illness perception, to alleviate LH.

MLAM: Multi-Layer Attention Module for Radar Extrapolation Based on Spatiotemporal Sequence Neural Network.

Precipitation nowcasting is mainly achieved by the radar echo extrapolation method. Due to the timing characteristics of radar echo extrapolation, convolutional recurrent neural networks (ConvRNNs) have been used to solve the task. Most ConvRNNs have been proven to perform far better than traditional optical flow methods, but they still have fatal problems. These models lack differentiation in the prediction of echoes of different intensities, which leads to the omission of responses from regions with high intensities. Moreover, because it is difficult for these models to capture long-term feature dependencies among multiple echo maps, the extrapolation effect declines sharply over time. This paper proposes an embedded multi-layer attention module (MLAM) to address the shortcomings of ConvRNNs. Specifically, an MLAM mainly enhances attention to critical regions in echo images and the processing of long-term spatiotemporal features through the interaction between input and memory features in the current moment. Comprehensive experiments were conducted on the radar dataset HKO-7 provided by the Hong Kong Observatory and the radar dataset HMB provided by the Hunan Meteorological Bureau. Experiments show that ConvRNNs embedded with MLAMs achieve more advanced results than standard ConvRNNs.

Text Summarization Method Based on Gated Attention Graph Neural Network.

Text summarization is an information compression technology to extract important information from long text, which has become a challenging research direction in the field of natural language processing. At present, the text summary model based on deep learning has shown good results, but how to more effectively model the relationship between words, more accurately extract feature information and eliminate redundant information is still a problem of concern. This paper proposes a graph neural network model GA-GNN based on gated attention, which effectively improves the accuracy and readability of text summarization. First, the words are encoded using a concatenated sentence encoder to generate a deeper vector containing local and global semantic information. Secondly, the ability to extract key information features is improved by using gated attention units to eliminate local irrelevant information. Finally, the loss function is optimized from the three aspects of contrastive learning, confidence calculation of important sentences, and graph feature extraction to improve the robustness of the model. Experimental validation was conducted on a CNN/Daily Mail dataset and MR dataset, and the results showed that the model in this paper outperformed existing methods.

The relationship among pregnancy-related anxiety, perceived social support, family function and resilience in Chinese pregnant women: a structural equation modeling analysis.

BACKGROUND: Accumulating evidence suggests that pregnancy-related anxiety (PRA) has adverse impacts on maternity health and infant development. A substantial body of literature has documented the important influence of family function, perceived social support and resilience on PRA. However, research identifying the mediating mechanisms underlying this relationship in China are still lacking. Therefore, the current study aimed to investigate the prevalence of PRA under the three-child policy in China, and also explore the interrelationships among perceived social support, family function, resilience, and PRA. METHODS: In this cross-sectional study, a convenient sampling method was used to select 579 pregnant women who underwent prenatal examination at the maternity outpatient departments of the First Affiliated Hospital of Chongqing Medical University in China from December 2021 to April 2022. Participants were required to complete the following questionnaires: the demographic form, the Chinese Pregnancy-related Anxiety scale, the 10-item Connor-Davidson Resilience Scale, the APGAR Family Care Index Scale, and Multidimensional Scale of Perceived Social Support. Pearson correlation analysis was utilized to examine the rudimentary relationship among the study variables. Bootstrapping analyses in the structural equation modeling were applied to identify the significance of indirect effects. RESULTS: There were 41.4% of pregnant Chinese women indicating PRA. Correlational analyses indicated that perceived social support, family function and resilience were negatively associated with PRA (r = - 0.47, P < 0.01; r = - 0.43, P < 0.01; r = - 0.37, P < 0.01, respectively). The results of bootstrapping analyses demonstrated significant indirect effects of perceived social support (ß = - 0.098, 95% CI [- 0.184, - 0.021]) and family function (ß = - 0.049, 95% CI [- 0.103, - 0.011]) on PRA via resilience. CONCLUSIONS: Chinese pregnant women are suffering from high levels of PRA. Better family function and perceived social support might reduce the occurrence of PRA, as well as by the mediating effects of resilience. Healthcare providers must be concerned about PRA and perform corresponding actions to reduce it. By strengthening social support and improving family function, antenatal care providers could effectively reduce or prevent PRA. And more importantly, implementing resilience-promoting measures are also essential to relieve anxiety and support mental health in pregnant women.

The prevalence and associated factors of prenatal depression and anxiety in twin pregnancy: a cross-sectional study in Chongqing, China.

BACKGROUND: Pregnant women expecting twins are more likely to experience stress, which can lead to anxiety and depression. Our aim was to investigate the prevalence of prenatal anxiety and depressive symptoms in women with twin pregnancies and the associated factors. METHODS: In a cross-sectional survey, 210 women with twin pregnancies who satisfied the inclusion and exclusion criteria in two tertiary centers in Southwestern China were asked to complete a basic information form, the Self-Rating Anxiety Scale (SAS) and the Self-Rating Depression Scale (SDS). To compare statistics with normal distribution in distinct characteristic groups, a paired t-test, and one-way ANOVA were utilized. Binary logistic step regression was used to analyze the associated factors of antenatal anxiety and depressive symptoms. RESULTS: The 210 women with twin pregnancies (age = 30.8 ± 4.2 years) were between 7 and 37 gestational weeks (29.2 ± 1.2 weeks), were typically well-educated (72.4% had a post-high-school degree), and reasonably affluent (88.1% were above the low-income cutoff). Among them, 34.8% had symptoms associated with clinical levels of anxiety, and 37.1% had symptoms indicating possible depression. The prevalence of co-morbid anxiety and depressive symptoms was 24.3%. Binary stepwise logistic regression analysis showed that previous health status and sleep disturbance during pregnancy were the associated factors of anxiety symptoms in women with twin pregnancies (P < 0.05), whereas age, previous health status, negative life events, and physical activity during pregnancy were the associated factors of depressive symptoms in women with twin pregnancies (P < 0.05). CONCLUSION: About one-third of women with twin pregnancies had symptoms of anxiety or depression; these were most strongly predicted by some modifiable factors, suggesting that early preventive mind-body interventions may be a promising strategy to protect against mental health issues for women with twin pregnancies.

The prevalence and predictors of fear of childbirth among pregnant Chinese women: a hierarchical regression analysis.

BACKGROUND: Fear of childbirth (FOC) occurs before, during and after pregnancy and is harmful to both the pregnant woman and the fetus. Identifying the prevalence and predictors of FOC can help us generate strategies for alleviating women's FOC. METHODS: A cross-sectional study was conducted among a convenience sample of 646 pregnant women receiving antenatal care at a subordinate hospital of a university in China. Data were collected using a basic information form, the Childbirth Attitude Questionnaire, the Childbirth Self-Efficacy Inventory, and the 10-item Connor-Davidson Resilience Scale. The minimum and maximum total scores of the Childbirth Attitude Questionnaire are 16 and 64, respectively, with higher scores reflecting a greater degree of FOC. We conducted hierarchical regression analysis to explore the predictors of FOC and used a structural equation model to further examine the direct and indirect associations between FOC, resilience and childbirth self-efficacy. RESULTS: The total prevalence of FOC was 67.1%. The percentages of women with mild (score of 28-39), moderate (40-51), and severe FOC (52-64) were 45.4, 19.5, and 2.2%, respectively. The average score on the Childbirth Attitude Questionnaire was 32.49, indicating mild FOC. The final regression analysis revealed six variables predicting FOC that explained 64.5% of the variance in FOC: age, gestational age, parity, spousal support, resilience, and childbirth self-efficacy. Furthermore, childbirth self-efficacy mediated the relationship between resilience and FOC, and the mediation effect rate was 53.5%. CONCLUSIONS: A high prevalence of FOC among pregnant Chinese women was found in this study. Age, gestational age, parity, spousal support, resilience, and childbirth self-efficacy were predictors of FOC. It is suggested that healthcare professionals should pay close attention to FOC and implement targeted interventions in accordance with these predictors, especially resilience and childbirth self-efficacy.

The effect of low-level laser therapy on diabetic foot ulcers: A meta-analysis of randomised controlled trials.

Our purpose was to perform a meta-analysis to evaluate the effect of Low-level laser therapy (LLLT) on diabetic foot ulcers (DFUs). The PubMed, Cochrane, Embase, Web of Science, Chinese BioMedical Literature Database (CBM), China National Knowledge Infrastructure (CNKI), VIP and Wanfang databases were searched systematically up to August 27, 2020. Studies that met the inclusion criteria were included in the analysis. A total of 13 randomised controlled trials (RCTs) and 413 patients were analysed. Compared with the control group, LLLT significantly increased the complete healing rate (risk ratio [RR] = 2.10, 95% confidence interval [CI] 1.56-2.83, P < .00001), reduced the ulcer area (standardised mean difference [SMD] = 3.52, 95% CI 1.65-5.38, P = .0002), and shortened the mean healing time (SMD = -1.40, 95% CI -1.90 to -0.91, P < .00001) of patients with DFUs. The quality of the evidence was very low according to the GRADE system. LLLT is a promising and effective adjuvant treatment to accelerate the healing of DFUs. Further evidence from larger samples and higher quality RCTs is needed to prove the effect of LLLT and to determine the most appropriate parameters for the healing of DFUs.

Cystoisospora spp. from dogs in China and phylogenetic analysis of its 18S and ITS1 gene.

Cystoisospora spp. oocysts isolated from dog feces in Changchun, China were morphologically similar to those of Cystoisospora ohioensis and Cystoisospora sp. 1-MM recently isolated from dogs in Japanese. Sequencing results of the 18S subunit RNA gene from isolates in the present study were compared to other Cystoisospora spp. and the results suggested that Cystoisospora spp. from dogs in Changchun was homologous to C. ohioensis and Cystoisospora sp. 1-MM. Phylogenetic analysis of the 18S rRNA sequences showed that the Cystoisospora sp. ChangChun 1 and Cystoisospora sp. ChangChun 2 were nested in a clade with other Cystoisospora spp., including C. ohioensis, Cystoisospora belli, Cystoisospora suis, Isospora sp. Harbin/01/08 and C. orlovi,. Cystoisospora sp. ChangChun 2 was confirmed as C. ohioensis, and the other isolate was in a separate clade but the genetic relationship was relatively close to C. suis after analysis of the ITS-1gene.