bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effects of Sleep Disorders and Circadian Rhythm Changes on Male Reproductive Health: A Systematic Review and Meta-analysis
Authors: Zhong Ou , Liao Biyun , Wang Jinyuan , Liu Ke , Lei Xiaocan , Hu Linlin 
Published: July 2022

Objectives: The purpose of this study was to elucidate the relationship between sleep disorders and male reproductive health, and to explore the underlying mechanisms via a systematic review and meta-analysis.Methods: PubMed, Embase, The Cochrane library, Web of Science, Scopus databases were searched to collect clinical research on the effects of sleep disorders on male semen parameters from inception to February 24, 2022. RevMan 5.4 was used for meta-statistical analysis. Stata16 software was used to detect publication bias.Results: The results of meta-analysis showed that sleep disorders were associated with reduced total sperm count (mean difference (MD) = −27.91, 95% CI = (−37.82, −18.01), p &lt; 0.001), reduced sperm concentration (MD = −5.16, 95% CI = (−9.67, −0.65), p = 0.02), reduced progressive motility (MD = −2.94, 95% CI = (−5.28, −0.59), p = 0.01), and reduced normal morphology (MD = −0.52, 95% CI = (−0.80, −0.24), p &lt; 0.001). However, there is no significant association between sleep disorders and semen volume/reproductive hormones. Further bioinformatics mining revealed that related clock genes (PER1, PER2, CRY2, NR1D1 and NPAS2) were down-regulated in non-obstructive azoospermia patients.Conclusion: In conclusion, current evidence suggests that sleep disorders have a negative impact on male reproductive health, and its underlying mechanism may be related to circadian rhythm disorders. However, the relationship between sleep disorders and reproductive hormone levels has not been found. Due to the limited number and quality of included studies, the above findings need to be validated by more high-quality studies.
Construction of Women’s All-Around Speed Skating Event Performance Prediction Model and Competition Strategy Analysis Based on Machine Learning Algorithms
Authors: Liu Meng , Chen Yan , Guo Zhenxiang , Zhou Kaixiang , Zhou Limingfei , Liu Haoyang , Bao Dapeng , Zhou Junhong 
Published: July 2022

IntroductionAccurately predicting the competitive performance of elite athletes is an essential prerequisite for formulating competitive strategies. Women’s all-around speed skating event consists of four individual subevents, and the competition system is complex and challenging to make accurate predictions on their performance.ObjectiveThe present study aims to explore the feasibility and effectiveness of machine learning algorithms for predicting the performance of women’s all-around speed skating event and provide effective training and competition strategies.MethodsThe data, consisting of 16 seasons of world-class women’s all-around speed skating competition results, used in the present study came from the International Skating Union (ISU). According to the competition rules, distinct features are filtered using lasso regression, and a 5,000 m race model and a medal model are built using a fivefold cross-validation method.ResultsThe results showed that the support vector machine model was the most stable among the 5,000 m race and the medal models, with the highest AUC (0.86, 0.81, respectively). Furthermore, 3,000 m points are the main characteristic factors that decide whether an athlete can qualify for the final. The 11th lap of the 5,000 m, the second lap of the 500 m, and the fourth lap of the 1,500 m are the main characteristic factors that affect the athlete’s ability to win medals.ConclusionCompared with logistic regression, random forest, K-nearest neighbor, naive Bayes, neural network, support vector machine is a more viable algorithm to establish the performance prediction model of women’s all-around speed skating event; excellent performance in the 3,000 m event can facilitate athletes to advance to the final, and athletes with outstanding performance in the 500 m event are more likely competitive for medals.
Fear of Childbirth in Nulliparous Women
Authors: Hendrix Yvette M. G. A. , Baas Melanie A. M. , Vanhommerig Joost W. , de Jongh Ad , Van Pampus Maria G. 
Published: July 2022

PurposeThe relation between fear of childbirth (FoC) and gestational age is inconclusive, and self-reported need for help regarding this fear has never been investigated. This study aimed to determine the prevalence and course of FoC according to gestational age, to identify risk factors for the development of FoC, the influence of this fear on preferred mode of delivery, and self-reported need for help.MethodsNulliparous pregnant women of all gestational ages completed an online survey. The study consisted of a cross-sectional and a longitudinal analysis. Women who completed the survey in the first or second trimester (T0) were approached again in their third trimester (T1). The Wijma Delivery Expectancy Questionnaire Version A (W-DEQ A) was used with a cut-off score ≥ 85 to define presence of fear of childbirth. Questionnaires indexing social support, anxiety, symptoms of depression, preferred mode of delivery, and self-reported need for help were included.ResultsIn total, 364 women were enrolled at T0, and 118 out of 184 eligible women were included in the longitudinal analysis. Point prevalence of FoC at T0 was 18.4% with no significant difference between trimesters. In the longitudinal sample, the prevalence of FoC decreased from 18.6% (T0) to 11.0% (T1), p = 0.004. Although mean scores for FoC decreased significantly, p &lt; 0.001, scores increased in 41 (34.7%) women. The presence of FoC was associated with elevated anxiety, less family support, prenatal care of the obstetrician by choice, preference for a cesarean section, and for pain relief. Women with FoC were more likely to actively seek for help compared to women without FoC.ConclusionWhile FoC is common in each trimester, prevalence decreases over the course of pregnancy. Women with FoC are often actively seeking for help, suggesting that this fear should be addressed better, and help should be offered accordingly.
Poor Sleep Quality and Factors Among Reproductive-Age Women in Southwest Ethiopia
Authors: Bogale Biruk , Wolde Asrat , Mohammed Nuredin , Midaksa Gachana , Bekele Bayu Begashaw 
Published: July 2022

BackgroundAdequate sleep is vital for physical and mental wellbeing. Sleep-related problems including poor quality of sleep have been increasing throughout the world among reproductive-aged women. Poor sleep quality has been related with number of diseases and health problems However, evidences are scarce regarding poor sleep quality and its associated factors among women of the reproductive age group in Ethiopia.ObjectiveTo assess sleep quality and associated factors among women of reproductive age group in Mizan Aman town, Southwest Ethiopia.MethodCommunity-based cross-sectional study was conducted among 606 reproductive-aged women from 06 November to 20 December 2020, in Mizan Aman town. Data were collected using structured interview administered questionnaires. Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality. Multivariable logistic regression was applied using an adjusted odds ratio with a corresponding 95% confidence interval to evaluate the statistical significance of associated factors.ResultThe overall prevalence of poor sleep quality was 71.3%. The late age group of 42–49 (AOR, 95% CI; 1.21 (1.08–5.76), palpable/visible thyroid gland (AOR, 95% CI; 2. 12 (1.08–3.82), current substance use (AOR, 95% CI; 1.76 (1.11–6.10) and having premenstrual syndrome (AOR, 95% CI; 1.86 (1.38–3.12) were significantly associated with poor sleep quality among reproductive age group women.ConclusionSignificant majority of reproductive age group women faced poor sleep quality. Therefore, screening of sleep patterns among this particular age group is warranted. Moreover, education about sleep hygiene needs to be given considering the identified factors to improve sleep quality.
Revisit the Effects of Health Literacy on Health Behaviors in the Context of COVID-19: The Mediation Pathways Based on the Health Belief Model
Authors: Zhang Huiqiao , Chen Liyuan , Zhang Fan 
Published: July 2022

BackgroundEmerging research has identified health literacy as an important resource for individual health care and disease prevention. In the context of COVID-19, People with limited HL are less likely to follow preventive measures such as wearing masks, social isolation, or taking the vaccination. However, the pathways of how health literacy affects decision-making have remained unclear.MethodsWith a cross-sectional study, a total of 613 responses (mean age is 25.64 ± 6.46 years) were collected. The relationship between health literacy and health behaviors under COVID-19 was examined, and the potential mediation pathways were assessed based on the health belief model.ResultsWith linear regression, it was found that health literacy has a direct effect on health behaviors and three constructs in the health belief model, i.e., perceived susceptibility, perceived severity, perceived barriers, as well as an indirect effect on health behaviors via increasing perceived barriers related with COVID-19 preventive measures. The results showed that health literacy only goes through the pathway of perceived barriers to influence health behaviors, and the indirect effects via other pathways were not significant.ConclusionsThe research addressed the mediation model underlying the effects of health literacy on health behaviors and identified a partial mediation role of perceived barriers. Health literacy could promote individual health behavior by reducing the perceived barriers to forming a healthy lifestyle and making health decisions. Future health promotion interventions increasing people's health literacy should be advocated to promote health initiatives in the whole population.
The rs8506 TT Genotype in lincRNA-NR_024015 Contributes to the Risk of Sepsis in a Southern Chinese Child Population
Authors: Li Jinqing , Zhou Huazhong , Wei Bing , Che Di , Xu Yufen , Pi Lei , Fu Lanyan , Hong Jie , Gu Xiaoqiong 
Published: July 2022

BackgroundSepsis is a highly life-threatening heterogeneous syndrome and a global health burden. Studies have shown that many genetic variants could influence the risk of sepsis. Long non-coding RNA lincRNA-NR_024015 may participate in functional alteration of endothelial cell via vascular endothelial growth factor (VEGF) signaling, whereas its relevance between the lincRNA-NR_024015 polymorphism and sepsis susceptibility is still unclear.Methods474 sepsis patients and 678 healthy controls were enrolled from a southern Chinese child population in the present study. The polymorphism of rs8506 in lincRNA-NR_024015 was determined using Taqman methodology.ResultsOverall, a significant association was found between rs8506 polymorphism and the risk of sepsis disease (TT vs. CC/CT: adjusted OR = 1.751, 95%CI = 1.024–2.993, P = 0.0406). In the stratified analysis, the results suggested that the carriers of TT genotypes had a significantly increased sepsis risk among the children aged 12–60 months, females, early-stage sepsis and survivors (TT vs. CC/CT: ORage = 2.413; ORfemale = 2.868; ORsepsis = 2.533; ORsurvivor = 1.822; adjusted for age and gender, P &lt; 0.05, respectively).ConclusionOur study indicated that lincRNA-NR_024015 rs8506 TT genotype might contribute to the risk of sepsis in a southern Chinese child population. Future research is required to elucidate the possible immunoregulatory mechanisms of this association and advance the development of novel biomarkers in sepsis.
Remote Monitoring and Holistic Care of Home-Isolated COVID-19 Positive Healthcare Workers Through Digital Technology During the Omicron (B1.1.529) Wave: A Prospective Cohort Study From India
Authors: Jain Siddharth , Agarwal Amit , Bhardwaj Anupriya , Lakshmi PVM , Singh Manvi , Chauhan Anil , Singh Meenu 
Published: July 2022

BackgroundRemote monitoring through digital technology offers a promising solution for the diverse medical, psychological and social issues that plague patients with COVID-19 under home-isolation, but remain neglected due to a lack of streamlined medical services for these patients.MethodsThis prospective cohort study determined the feasibility of remote telemonitoring of healthcare workers with mild COVID-19 under home isolation during the Omicron (B1.1.529) wave and characterized their clinico-demographic profile. A holistic monitoring model comprising of mandatory phone calls at the beginning and end of isolation, assisted by home oximetry, predesigned google forms, and opt-in software-based (eSanjeevani OPD) teleconsultation was employed. Factors associated with development of symptomatic disease were also determined.ResultsOut of 100 COVID-19 positive healthcare workers under home-isolation, data for 94 participants was available [median age 27(20–52) years, 56(60%) females]. 93(99%) patients were previously vaccinated for COVID-19 (median time from last dose = 248 days); 34(36%) had a past history of COVID-19. Fever (67%), myalgia (69%), sore throat/dry cough (70%), and running nose (45%) were the most common symptoms. No patient progressed to moderate-severe disease or required care escalation during the remote monitoring period. Most participants reported several additional psychosocial concerns which were adequately addressed. Symptomatic patients had higher BMI (24.1 vs. 21.8kg/m2, p = 0.01) compared to asymptomatic patients. Age, past infection with COVID-19, and time since last vaccine dose were not different between symptomatic and asymptomatic patients.ConclusionCOVID-19 patients under home isolation have multi-faceted medical and psychosocial issues which can be holistically managed remotely through digital technology.
Cost–Effectiveness Analysis of Dapagliflozin Plus Standard Treatment for Patients With Type 2 Diabetes and High Risk of Cardiovascular Disease in China
Authors: Huang Kaiyu , Wang Yao , Sun Sijia , Zhu Qian , Zhou Weifeng , Liu Jiatao , Zhu Dongchun , Xie Xuefeng 
Published: July 2022

PurposeTo evaluate the long-term cost-effectiveness of dapagliflozin, in addition to standard treatment, for the treatment of adult patients with type 2 diabetes (T2DM) at high cardiovascular risk from the Chinese healthcare system perspective.MethodsA decision-analytic Markov model with one-year cycles was developed to evaluate the health and economic outcomes in patients with T2DM and high risk of cardiovascular disease (CVD) treated with standard treatment and dapagliflozin plus standard treatment for 30 years. Clinical data, cost, and utility data were extracted from databases or published literature. Quality-adjusted life-years (QALYs), costs (€/¥ 2021) as well as incremental cost-effectiveness ratios (ICERs) were calculated. Deterministic and probabilistic sensitivity analyses were performed to assess the uncertainty in the results.ResultsCompared with standard treatment, dapagliflozin plus standard treatment was predicted to result in an additional 0.25 QALYs (12.26 QALYs vs. 12.01 QALYs) at an incremental cost of €4,435.81 (¥33,875.83) per patient. The ICER for dapagliflozin plus standard treatment vs. standard treatment was €17,742.07 (¥135,494.41) per QALY gained, which was considered cost-effective in China compared to three times the GDP per capita in 2021 (€31,809.77/¥242,928). The deterministic and probabilistic sensitivity analyses showed the base-case results to be robust.ConclusionsThe study suggests that, from the perspective of the Chinese health system, dapagliflozin plus standard treatment is a cost-effective option for patients with T2DM at high cardiovascular risk. These findings may help clinicians make the best treatment decisions for patients with T2DM at high cardiovascular risk.
The Vaccine Efficacy Against the SARS-CoV-2 Omicron: A Systemic Review and Meta-Analysis
Authors: Zou Yuntao , Huang Doudou , Jiang Qian , Guo Yanglin , Chen Chider 
Published: July 2022

BackgroundCOVID-19 is a respiratory illness caused by SARS-CoV-2. The most recent variant is Omicron (line B.1.1.529), which was first identified in South Africa in November 2021. The concern with this variant is the ineffectiveness of vaccines currently available. We aim to systematically evaluate the effectiveness of the currently available COVID-19 vaccines and boosters for the Omicron variant.MethodsWe searched the PubMed, Embase, the Cochrane Library and Web of Science databases from inception to June 5th, 2022. Studies that examined the effectiveness of SARS-CoV-2 vaccines against the Omicron variant infection were included. Random-effects model was used to estimate the pooled vaccine effectiveness against the Omicron variant.ResultsA total of 13 studies were included to evaluate the effectiveness of the vaccine against the Omicron variant, and 11 studies were included to compare the effectiveness between the two-dose and three-dose (booster) vaccinations. Full vaccination (two-dose with or without booster) showed a protective effect against the Omicron variant compared to no vaccination (OR = 0.62, 95% CI: 0.56–0.69), while the effectiveness decreased significantly over 6 months after the last dose. The two-dose vaccination plus booster provided better protection against the Omicron variant compared to the two-dose vaccination without booster (OR = 0.60, 95% CI: 0.52–0.68). Additional analysis was performed for the most commonly used vaccines in the United Staes: BNT162b2(Pfizer) (OR = 0.65, 95% CI: 0.52–0.82) and mRNA-1273(Moderna) (OR = 0.67, 95% CI: 0.58–0.88) vaccines in the US, which showed similar effectiveness compared to no vaccination.ConclusionsThe full dose of SARS-CoV-2 vaccination effectively reduces infection from the SARS-CoV-2 Omicron variant; however, the effectiveness wanes over time. The booster vaccine provides additional protection against the Omicron variant.
Understanding the Role of Clinical Champions and Their Impact on Clinician Behavior Change: The Need for Causal Pathway Mechanisms
Authors: Morena Alexandra L. , Gaias Larissa M. , Larkin Celine 
Published: July 2022

BackgroundThe clinical champion approach is a highly utilized implementation strategy used to mitigate barriers and improve outcomes of implementation efforts. Clinical champions are particularly effective at addressing provider-level barriers and promoting provider-behavior change. Yet, the specific causal pathways that explain how clinical champions impact provider behavior change have not been well-explicated. The current paper applies behavior change models to develop potential causal pathway mechanisms.MethodsThe proposed mechanisms are informed by previous literature involving clinical champions and empirically supported behavior change models. These models are applied to link specific attributes to different stages of behavior change and barriers for providers.ResultsTwo unique pathway mechanisms were developed, one that explicates how providers develop intention to use EBPs, while the other explicates how providers transition to EBP use and sustainment. Clinical champions may promote intention development through behavioral modeling and peer buy-in. In contrast, champions promote behavioral enactment through skill building and peer mentorship.ConclusionClinical champions likely play a critical role in reducing provider implementation barriers for providers across various phases of behavior change. The proposed pathways provide potential explanations for how clinical champions promote provider behavior change. Future research should prioritize empirically testing causal pathway mechanisms.
Preoperative Neutrophil to Lymphocyte Ratio Predicts Complications After Esophageal Resection That can be Used as Inclusion Criteria for Enhanced Recovery After Surgery
Authors: Shi Bo-Wen , Xu Li , Gong Chun-Xia , Yang Fu , Han Yu-Dong , Chen He-Zhong , Li Chun-Guang 
Published: July 2022

BackgroundThe neutrophil to lymphocyte ratio (NLR) has been reported as an indicator for poor prognosis in many cancers including esophageal cancer. However, the relationship between the NLR and postoperative complications after esophageal cancer resection remains unclear. At present, enhanced recovery after surgery (ERAS) lacks inclusion criteria. The aim of this study is to determine whether the preoperative NLR (preNLR) can predict complications after esophageal cancer resection, which could represent the criteria for ERAS.MethodsThis was a retrospective study on 171 patients who underwent esophagectomy at Hospital between November 2020 and November 2021(68 patients from Changhai Hospital, 65 patients from Shanghai General Hospital and 38 patients from Affiliated Hospital of Qingdao University). Univariate and multivariate logistic regression analyses were performed to demonstrate that the preNLR could predict complications after esophagectomy.ResultsA preNLR cutoff value of 2.30 was identified as having the greatest ability to predict complications with a sensitivity of 76% and specificity of 65%. Moreover, the Chi-squared test results showed that the preNLR was significantly associated with complications (x2 = 13.641, p &lt; 0.001), and multivariate logistic regression analysis showed that body mass index (BMI), p stage and preNLR were independent variables associated with the development of postoperative complications (p &lt; 0.05).ConclusionThe preNLR can predict complications after esophagectomy, and these predicted complications can represent the criteria for recruiting patients for ERAS.
Effect of Regional Dialects in Learning Tamil Language
Authors: N Sulochana 
Published: July 2022

Having two forms of practice, the spoken and written, is a peculiarity that the Tamil language has. In written form the language is used with no grammatical errors. Spoken form is the one that people use in their daily language as they speak. This colloquial usage is most importantly used to express human emotions. It can be observed that, spoken form of language and the pronunciation of words differ according to region, race and caste. The word is subject to change depending upon these factors while the meaning remains constant. When a word differs from the common usage based on the region, race or caste it is called as a regional dialect. Tamil language is considered to be the oldest language, the one that man spoke first. It has a rich sense of nativity and intellectual depth. Language is not just a medium, it is also an identity for the race that used it. It becomes our responsibility to document it. Regional dialects are assets to a language. While teaching such language, along with teaching the meaning of lessons, vocabulary and its usage should also be taught in order to have a deeper understanding about the taught meaning. Only then Tamil’s richness could be internalised. A teacher should elaborate the influence that regional dialects have on a language, in order to make the process of language learning fruitful. A child’s primary learning begins at home before it steps into a school. This research article reflects the impacts that understanding the changes in people and their language while exposed to the external environment from home environment has on the process of learning.