bluuebunny/crossref_metadata_2025_split huggingface dataset:
GAMBARAN BEBAN (BURDEN OF CARE) CAREGIVER KELUARGA MERAWAT ODGJ
Authors: Slametiningsih  , Septiawardani Rani , Yunitri Ninik , Nurjanah Siti , Kurnati Nana , Wildan  
Published: July 2024

Pendahuluan: Orang Dengan Gangguan Jiwa (ODGJ) merupakan masalah kesehatan berdampak pada perilaku, perasaan dan kognitif, sehingga akan berpengaruh pada kualitas hidup individu, keluarga, dan masyarakat. Keluarga sebagai care giver utama dalam merawat ODGJ dapat menimbulkan beban yang berdampak pada kesehatan fisik maupun mental keluarga. Tujuan: Penelitian ini bertujuan untuk mengetahui gambaran beban (burden of care) caregiver keluarga merawat ODGJ. Metode: Penelitian ini menggunakan desain deskriptif dengan pendekatan kuantitatif. Populasi penelitian jumlahnya secara keseluruhan 3000 adalah caregiver keluarga ODGJ di RS Islam Jiwa Klender, Jakarta Timur. Sampel penelitian berjumlah 100 orang yang diperoleh dengan teknik purposive sampling. Pengumpulan data dilakukan dengan menggunakan kuesioner Burden of Care Scale. Hasil: Hasil penelitian caregiver dengan beban: minimal 12%, ringan 27%, sedang 35% dan berat 25%. Kesimpulan: Berdasarkan hasil penelitian ini, diperlukan upaya untuk mengurangi beban caregiver keluarga merawat ODGJ. Upaya tersebut dapat dilakukan peningkatan pengetahuan, keterampilan dalam merawat ODGJ, dan meningkatkan pelayanan Kesehatan dan dukungan sosial
An Analysis of Euphemism in The Captions of Folkative Instagram Accounts
Authors: Wibowo Hanafi , Ramadhani Nurul Luthfia 
Published: July 2024

This research discusses about “An Analysis of Euphemism in the captions of Folkative Instagram accounts”. The purpose of this research is focused on two things, namely: Identifying the types and functions of euphemisms found in captions of Folkative Instagram account. This research used descriptive qualitative method. Data collection techniques involved reading the captions posted by Folkative on January-March 2023 and note-taking captions that contain euphemisms, and the last classify data selection based on type and function of euphemism. Data on the types of euphemisms were analyzed based on the theory of Allan and Burridge, and the function of euphemisms was analyzed using the theory of Rusman. In addition, the data source is the Captions of Folkative Instagram account from January-March 2023. The research focused on @Folkative Instagram account. The results of this research found 129 data. The researcher found 10 types of euphemisms used in captions for Instagram Folkative accounts there are Metaphor 3 data (2%); Litotes 3 data (2%); Acronyms 21 data (16%); Abbreviations 61 data (47%); Clipping 11 data (9%); Synecdoche 4 data (3%); Idioms 17 data (13%); Borrowing 6 data (5%); Reduplication 2 data (2%); Omissions 1 data (1%). The researcher found 3 functions euphemism from Captions of Folkative Instagram account namely, Informs 77 data (60%); Evaluates 30 data (23%); Modalizes 22 data (17%). Based on the data found, the most widely used type of euphemism by Instagram Folkative accounts is Abbreviations with 61 data and the function of euphemism used is Informs with 77 data.
The factors affecting investment intentions for employees of PT Bank Central Asia, Tbk.
Authors: Semeru Daniella Mayuni , Negoro Dimas Angga 
Published: July 2024

This research was conducted to analyze the effect of Personality Traits, Financial Literacy, and Risk Tolerance on Investment Intentions in environmentally friendly companies with Risk Tolerance as a moderating variable, providing input for environmentally friendly companies so they can be more attractive to investors, and contribute to the science of financial management by developing an understanding of the Investment Intentions variable in environmentally friendly companies. This research used quantitative method. The sample is 280 respondents with purposive sampling technique to the employees of PT Bank Central Asia, Tbk. Data was analyzed with Structural Equation Modelling-Partial Least Square (SEM-PLS). The results are personality traits, financial literacy, and risk tolerance had effect on investment intentions and risk tolerance had a moderating effect between financial literacy and investment intentions. With this research, it is hoped that environmentally friendly companies will manage their companies well and do environmentally friendly things included in its annual report so that potential investors are interested in investing in environmentally friendly companies. This research also expected to enrich the knowledge of financial management by providing an understanding of the Investment Intentions variable in environmentally friendly companies. Keywords:environmentally friendly company financial literacy, risk tolerance, investment intentions, personality traits
Prediction of personalised postprandial glycaemic response in type 1 diabetes mellitus
Authors: Xiong Xin , Xue Yuxin , Cai Yunying , He Jianfeng , Su Heng 
Published: July 2024

ObjectivesPatients with type 1 diabetes (T1D) face unique challenges in glycaemic control due to the complexity and uniqueness of the dietary structure in China, especially in terms of postprandial glycaemic response (PPGR). This study aimed to establish a personalized model for predicting PPGR in patients with T1D.Materials and methodsData provided by the First People’s Hospital of Yunnan Province, 13 patients with T1D, were recruited and provided with an intervention for at least two weeks. All patients were asked to wear a continuous glucose monitoring (CGM) device under free-living conditions during the study period. To tackle the challenge of incomplete data from wearable devices for CGM measurements, the GAIN method was used in this paper to achieve a more rational interpolation process. In this study, patients’ PPGRs were calculated, and a LightGBM prediction model was constructed based on a Bayesian hyperparameter optimisation algorithm and a random search algorithm, which integrated glucose measurement, insulin dose, dietary nutrient content, blood measurement and anthropometry as inputs.ResultsThe experimental outcomes revealed that the PPGR prediction model presented in this paper demonstrated superior accuracy (R=0.63) compared to both the carbohydrate content only model (R=0.14) and the baseline model emulating the standard of care for insulin administration (R=0.43). In addition, the interpretation of the model using the SHAP method showed that blood glucose levels at meals and blood glucose trends 30 minutes before meals were the most important features of the model.ConclusionThe proposed model offers a heightened precision in predicting PPGR in patients with T1D, so it can better guide the diet plan and insulin intake dose of patients with T1D.
Prevalence of and factors associated with likely obstructive sleep apnea in individuals with airflow limitation
Authors: Kim Sang Hyuk , Sim Jae Kyeom , Choi Jee Yea , Moon Ji-Yong , Lee Hyun , Min Kyung Hoon 
Published: July 2024

IntroductionObstructive sleep apnea (OSA) is frequently associated with airflow limitation (AFL). However, information on the prevalence of and factors associated with likely OSA in individuals with AFL in Korea is limited.MethodsData from the 2019 Korea National Health and Nutrition Examination Survey (KNHANES) were used, and 3,280 individuals (2,826 individuals without AFL and 454 individuals with AFL) were included. AFL was defined as forced expiratory volume in 1 s (FEV1)/forced vital capacity (FVC) &lt; 0.7. A score ≥ 5 on the STOP-BANG questionnaire was used to identify individuals with likely OSA. The prevalence of likely OSA was compared between individuals with and without AFL. In addition, factors associated with likely OSA in individuals with AFL were evaluated using multivariable logistic regression analysis.ResultsOf 3,280 individuals, 13.8% had an AFL. The prevalence of likely OSA was significantly higher in individuals with AFL than in individuals without AFL (9.2% vs. 5.0%, p = 0.014). Among 454 individuals with AFL, obesity (adjusted odds ratio [aOR] = 14.78, 95% confidence interval [CI] = 4.20–52.02) was most strongly associated with likely OSA, followed by heavy alcohol consumption (aOR = 4.93, 95% CI = 1.91–12.70), hypertension (aOR = 4.92, 95% CI = 1.57–15.46), overweight (aOR = 4.71, 95% CI = 1.76–12.64), college graduate (aOR = 4.47, 95% CI = 1.10–18.22), and history of pulmonary tuberculosis (aOR = 3.40, 95% CI = 1.06–10.96).ConclusionIn Korea, approximately 1 in 10 individuals with AFL had likely OSA. Overweight and obesity, heavy alcohol consumption, high educational level, hypertension, and history of pulmonary tuberculosis were associated with likely OSA in individuals with AFL.
Comparative study of the risk prediction model of early postoperative frailty in elderly enterostomy patients based on machine learning methods
Authors: Ya-juan Zhang , Fang-hui Dong , Yi-wei Xue , Gui-fen Lv , San-lian Hu , Li-li Ma 
Published: July 2024

ObjectiveBased on machine learning method, four types of early postoperative frailty risk prediction model of enterostomy patients were constructed to compare the performance of each model and provide the basis for preventing early postoperative frailty of elderly patients with enterostomy.MethodsThe prospective convenience sampling method was conducted and 362 early postoperative enterostomy patients were selected in three hospitals from July 2020 to November 2023 in Shanghai, four different prediction models of Support Vector Machine (SVM), Bayes, XG Boost, and Logistic regression were used and compared the test effects of the four models (MCC, F1, AUC, and Brier index) to judge the classification performance of the four models in the data of this study.ResultsA total of 21 variables were included in this study, and the predictors mainly covered demographic information, stoma-related information, quality of life, anxiety and depression, and frailty. The validated models on the test set are XGBoost, Logistic regression, SVM prediction model, and Bayes on the MCC and F1 scores; on the AUC, XGBoost, Logistic regression, Bayes, and SVM prediction model; on the Brier scores, Bayes, Logistic regression, and XGBoost.ConclusionXGBoost based on machine learning method is better than SVM prediction model, Logistic regression model and Bayes in sensitivity and accuracy. Quality of life in the early postoperative period can help guide clinical patients to identify patients at high risk of frailty and reduce the incidence of early postoperative frailty in elderly patients with enterostomy.
Exploring the multifaceted therapeutic mechanism of Schisanlactone E (XTS) in APP/PS1 mouse model of Alzheimer’s disease through multi-omics analysis
Authors: Song Zhenyan , He Jiawei , Yu Wenjing , He Chunxiang , Yang Miao , Li Ping , Li Ze , Jian Gonghui , Cheng Shaowu 
Published: July 2024

BackgroundSchisanlactone E, also known as XueTongSu (XTS), is an active compound extracted from the traditional Tujia medicine Kadsura heteroclita (“XueTong”). Recent studies highlight its anti-inflammatory and antioxidant properties, yet the mechanisms of XTS’s therapeutic effects on Alzheimer’s disease (AD) are unclear. This study aims to elucidate the therapeutic efficacy and mechanisms of XTS in AD.MethodsTen C57BL/6 mice were assigned to the control group (NC), and twenty APP/PS1 transgenic mice were randomly divided into the model group (M) (10 mice) and the XTS treatment group (Tre) (10 mice). After an acclimatization period of 7 days, intraperitoneal injections were administered over a 60-day treatment period. The NC and M groups received saline, while the Tre group received XTS at 2 mg/kg. Learning and memory abilities were assessed using the Morris Water Maze (MWM) test. Histopathological changes were evaluated using hematoxylin and eosin (HE) and Nissl staining, and immunofluorescence was used to assess pathological products and glial cell activation. Cytokine levels (IL-1β, IL-6, TNF-α) in the hippocampus were quantified by qPCR. 16S rDNA sequencing analyzed gut microbiota metabolic alterations, and metabolomic analysis was performed on cortical samples. The KEGG database was used to analyze the regulatory mechanisms of XTS in AD treatment.ResultsXTS significantly improved learning and spatial memory in APP/PS1 mice and ameliorated histopathological changes, reducing Aβ plaque aggregation and glial cell activation. XTS decreased the expression of inflammatory cytokines IL-1β, IL-6, and TNF-α. It also enhanced gut microbiota diversity, notably increasing Akkermansia species, and modulated levels of metabolites such as isosakuranetin, 5-KETE, 4-methylcatechol, and sphinganine. Pathway analysis indicated that XTS regulated carbohydrate metabolism, neuroactive ligand-receptor interactions, and alanine, aspartate, and glutamate metabolism, mitigating gut microbiota dysbiosis and metabolic disturbances.ConclusionXTS ameliorates cognitive deficits, pathological changes, and inflammatory responses in APP/PS1 mice. It significantly modulates the gut microbiota, particularly increasing Akkermansia abundance, and influences levels of key metabolites in both the gut and brain. These findings suggest that XTS exerts anti-AD effects through the microbial-gut-brain axis (MGBA).
Associations of endogenous estrogens, plasma Alzheimer’s disease biomarkers, and APOE4 carrier status on regional brain volumes in postmenopausal women
Authors: Wugalter Katrina A. , Schroeder Rachel A. , Thurston Rebecca C. , Wu Minjie , Aizenstein Howard J. , Cohen Ann D. , Kamboh M. Ilyas , Karikari Thomas K. , Derby Carol A. , Maki Pauline M. 
Published: July 2024

BackgroundWomen carrying the APOE4 allele are at greater risk of developing Alzheimer’s disease (AD) from ages 65–75 years compared to men. To better understand the elevated risk conferred by APOE4 carrier status among midlife women, we investigated the separate and interactive associations of endogenous estrogens, plasma AD biomarkers, and APOE4 carrier status on regional brain volumes in a sample of late midlife postmenopausal women.MethodsParticipants were enrolled in MsBrain, a cohort study of postmenopausal women (n = 171, mean age = 59.4 years, mean MoCA score = 26.9; race = 83.2% white, APOE4 carriers = 40). Serum estrone (E1) and estradiol (E2) levels were assessed using liquid chromatography–tandem mass spectrometry. APOE genotype was determined using TaqMan SNP genotyping assays. Plasma AD biomarkers were measured using single molecule array technology. Cortical volume was measured and segmented by FreeSurfer software using individual T1w MPRAGE images. Multiple linear regression models were conducted to determine whether separate and interactive associations between endogenous estrogen levels, plasma AD biomarkers (Aβ42/Aβ40, Aβ42/p-tau181), and APOE4 carrier status predict regional brain volume (21 regions per hemisphere, selected a priori); and, whether significant interactive associations between estrogens and AD biomarkers on brain volume differed by APOE4 carrier status.ResultsThere was no main effect of APOE4 carrier status on regional brain volumes, endogenous estrogen levels, or plasma AD biomarkers. Estrogens did not associate with regional brain volumes, except for positive associations with left caudal middle frontal gyrus and fusiform volumes. The interactive association of estrogens and APOE4 carrier status on brain volume was not significant for any region. The interactive association of estrogens and plasma AD biomarkers predicted brain volume of several regions. Higher E1 and E2 were more strongly associated with greater regional brain volumes among women with a poorer AD biomarker profile (lower Aβ42/40, lower Aβ42/p-tau181 ratios). In APOE4-stratified analyses, these interactions were driven by non-APOE4 carriers.ConclusionWe demonstrate that the brain volumes of postmenopausal women with poorer AD biomarker profiles benefit most from higher endogenous estrogen levels. These findings are driven by non-APOE4 carriers, suggesting that APOE4 carriers may be insensitive to the favorable effects of estrogens on brain volume in the postmenopause.
Efficacy analysis of mechanical thrombectomy combined with prolonged mild hypothermia in the treatment of acute middle cerebral artery occlusion: a single-center retrospective cohort study
Authors: Wang Anqi , Meng Xuan , Chen Qin , Chu YanFei , Zhou Qiang , Jiang DongYi , Wang Zhimin 
Published: July 2024

ObjectiveTo determine the efficacy of mechanical thrombectomy combined with prolonged mild hypothermia compared with conventional treatment in managing acute middle cerebral artery occlusion, and to explore whether extending the duration of hypothermia can improve neurological function.MethodFrom 2018 to June 2023, a retrospective analysis was conducted on 45 patients with acute middle cerebral artery occlusion treated at the NICU of Suzhou Kowloon Hospital, affiliated with Shanghai Jiao Tong University School of Medicine. After thrombectomy, patients were admitted to the neurological intensive care unit (NICU) for targeted temperature management. Patients were divided into two groups: the mild hypothermia group (34.5–35.9°C) receiving 5–7 days of treatment, and the normothermia group (control group) whose body temperature was kept between 36 and 37.5°C using pharmacological and physical cooling methods. Baseline characteristics and temperature changes were compared between the two groups of patients. The primary outcome was the modified Rankin Scale (mRS) score at 3 month after surgery, and the secondary outcomes were related complications and mortality rate. Prognostic risk factors were investigated using both univariate and multivariate logistic regression analyses.ResultsAmong 45 patients, 21 underwent prolonged mild hypothermia, and 24 received normothermia, with no significant differences in baseline characteristics between the two groups. The duration of mild hypothermia ranged from 5 to 7 days. The incidence of chills (33.3% vs. 8.3%, p = 0.031) and constipation (57.1% vs. 20.8%, p = 0.028) was significantly higher in the mild hypothermia group compared with the control group. There was no significant difference in mortality rates between the mild hypothermia and the control group (4.76% vs. 8.33%, p = 1.000, OR = 1.75, 95% CI, 0.171–17.949). At 3 month, there was no significant difference in the modified mRS (0–3) score between the mild hypothermia and control groups (52.4% vs. 25%, p = 0.114, OR = 0.477, 95% CI, 0.214–1.066). Infarct core volume was an independent risk factor for adverse neurological outcomes.ConclusionProlonged mild hypothermia following mechanical thrombectomy had no severe complications and shows a trend to improve the prognosis of neurological function. The Infarct core volume on CTP was an independent risk factor for predicting neurological function.
The mediating role of emotional intelligence between self-efficacy and resilience in Chinese secondary vocational students
Authors: Jiang Ruichen 
Published: July 2024

PurposeThis study aimed to explore the relationship between self-efficacy and resilience in Chinese secondary vocational students and examine the mediating effect of emotional intelligence.MethodsIn September 2023, a cross-sectional survey was conducted in 282 Chinese students from three secondary vocational schools by using a voluntary and anonymous structured questionnaire, which included a general self-efficacy scale (GSES), emotional intelligence scale (EIS), and resilience scale (RS). The data were analyzed using SPSS 26.0 software and macro PROCESS.ResultsThe scores of self-efficacy, emotional intelligence, and resilience of Chinese secondary vocational students were above the average level. Correlations among the self-efficacy, emotional intelligence, and resilience levels of students were significant. The analyses of mediating effect showed that emotional intelligence partially mediated the influence of self-efficacy on resilience of secondary vocational students.ConclusionSelf-efficacy was positively associated with resilience. Self-efficacy not only has a direct effect on the resilience of secondary vocational students but it also indirectly affects the resilience through the mediating role of emotional intelligence. These findings valuable for designing the secondary vocational school programs aimed at improving students’ psychological resilience.
Resilience mediates the prediction of alienation towards parents on subjective well-being in rural left-behind children: a 12-month longitudinal study
Authors: Zhang Mengjia , Sun Xiaoxiao , Cui Chun , Tan Jieying , Ren Xiaomei , Dai Qin 
Published: July 2024

ObjectiveParent-child relationship is critical for children’s well-being. In China, the large number of left-behind children (LBC, one or both parents leaving for work for at least 6 months) raises public concern. Although LBC often report poor mental health status and higher alienation towards parents, the dynamic trend of subjective well-being in this population, as well as the prediction of alienation towards parents on LBC’s subjective well-being, remain unrevealed. This study aimed to examine the dynamic trend of subjective well-being in Chinese LBC and further explore the predictional influence of alienation towards parents, with resilience as a potential mediator.MethodsWe recruited 916 rural LBC in China and investigated them at five waves (baseline, and 1, 3, 6, and 12 months later) using Inventory of Alienation towards Parents (IAP), Resilience Scale for Chinese Adolescents (RSCA) and Subjective Happiness Scale (SHS). We used hierarchical linear modeling (HLM) for analysis.ResultsAt baseline, no significant differences were found in the scores of alienation towards parents, resilience, and subjective well-being on gender, grade, or type of LBC. A significant correlation existed between the scores of alienation towards parents, resilience, and subjective well-being. HLM showed a linear increase in the subjective well-being of rural LBC. Alienation toward both mother and father negatively predicted the developmental trajectory of children’s subjective well-being over 12 months. Moreover, resilience partially mediated this prediction.ConclusionThis study is among the first to reveal that alienation towards parents predicts the developmental trajectory of later LBC’s subjective well-being, with resilience as a mediator. These findings warrant the necessity of paying attention to alienation toward parents to ensure the mental health of LBC, giving valuable guidance to parents, schools and governments.
Exploring the association between social support and anxiety during major public emergencies: a meta-analysis of the COVID-19 pandemic
Authors: Liu Jianmei , Chang Siyu , Wang Zhidan , Raja Fasahat Z. 
Published: July 2024

ObjectiveThe COVID-19 pandemic has prompted a surge in research focusing on mental health issues faced by society, with particular emphasis on the interplay between social support and anxiety. However, the results of these studies have often been controversial.MethodsTo address this, we conducted a meta-analysis of 104 studies (N = 107,660) to investigate the relationship between anxiety and social support and the potential moderate variables.ResultsOur meta-analysis revealed a negative correlation between social support and anxiety (r = −0.233). The study also demonstrated the variation in the relationship between social support and anxiety was moderated by cultural area (Q = 14.120, p &lt; 0.05) and phrase of the pandemic (Q = 13.678, p &lt; 0.05).ConclusionThe relationship between social support and anxiety can differ across different cultural areas and throughout the phrase of the pandemic. Consequently, we advocate for a nuanced assessment of the role of social support in mitigating public anxiety, taking into account the mediating effects of these factors in the context of major public emergencies.