Mossbirch4751

Primary dysmenorrhea (PD) is one of the most common gynecological conditions among young females, which has a significant negative impact on health-related quality of life and productivity. Despite its high prevalence, the evidence is limited regarding the management-seeking practices and its perceived effectiveness among females with PD.

This is a cross-sectional study conducted among 550 female students in six universities across Lebanon. The prevalence of PD, associated risk factors, and management-seeking practices were assessed using a self-administered questionnaire.

The prevalence of PD was 80.9%. Most of the females with PD described their menstrual pain as moderate (56%) to severe (34.6%), which significantly affected their daily activities and studying ability (P < 0.001). The major risk factors associated with PD included heavy menstrual flow (adjusted odds ratio [AOR] = 10.28), family history of PD (AOR = 2.52), history of weight loss attempt (AOR = 2.05), and medical specialization (AOR f-management support of PD. Furthermore, future research is required to investigate females' misconceptions about hormonal contraceptives in the management of PD, aiming to raise awareness and correct misconceptions.

Suboptimal management of PD is practiced among university students in Lebanon. Therefore, health care providers should educate dysmenorrheic females to optimize the self-management support of PD. Furthermore, future research is required to investigate females' misconceptions about hormonal contraceptives in the management of PD, aiming to raise awareness and correct misconceptions.

Tooth loss has been shown to correlate with multiple systemic comorbidities. However, the associations between the number of remaining natural teeth (NoT) and all-cause mortality have not been explored extensively. We aimed to investigate whether having fewer NoT imposes a higher risk in mortality. We tested such hypotheses using three groups of NoT (20-28,10-19, and 0-9), edentulism and without functional dentition (NoT < 19).

The National Health and Nutrition Examination Survey in the United States (NHANES) (1999-2014) conducted dental examinations and provided linkage of mortality data. NHANES participants aged 20years and older, without missing information of dental examination, age, gender, race, education, income, body-mass-index, smoking, physical activities, and existing systemic conditions [hypertension, total cardiovascular disease, diabetes, and stroke (N = 33,071; death = 3978), or with femoral neck bone mineral density measurement (N = 13,131; death = 1091)] were analyzed. Cox proportionalNoT were associated with higher risks for all-cause mortality. More research is needed to explore possible biological implications and validate our findings.

Internal voids of materials can serve a hub for microorganism and affect the sealing ability. This study aimed to evaluate the sealing performance of calcium silicate-based cements in immature teeth treated with regenerative endodontics.

Twenty single root canals from immature permanent premolars were prepared using regenerative endodontic protocols. The root canals were randomly divided into two groups and sealed with mineral trioxide aggregate (MTA) and Biodentine (BD). The teeth were kept in humid environment for 7days and scanned using micro-computed tomography. The voids within the cements were segmented and visualized using image processing, incorporating the modified Otsu algorithm. The porosity of each sample was also calculated as the ratio between the number of voxels of voids and the volume of the cements. THZ1 cost Tortuosity was also calculated using the A-star algorithm.

Voids larger than 70μm were predominantly observed in the top and interfacial surface of cements. The others were evenly distributed. MTA and BD showed the same level of porosity and tortuosity at interfacial surfaces. In inner surfaces, MTA showed more less porosity and tortuosity compared to BD (p < 0.05).

There were no differences in sealing performance between MTA and BD.

There were no differences in sealing performance between MTA and BD.

Providing care to older individuals with complex needs and patients with chronic illness is a concern worldwide. In Norway, this situation led to the transfer of responsibility for care and treatment to the municipalities. Providing emergency care at the municipal level - thereby reducing the need for emergency hospital admissions - is part of the Coordination Reform in Norway. This reform from 2012 warrants a reconsideration of which nursing qualifications are needed in the municipalities. The aim of the study is to explore which professional qualifications nurses need to provide emergency care in municipal emergency inpatient units.

A qualitative design with a hermeneutic approach was employed. Interviewing physicians about nursing qualifications may be considered inappropriate. We believe that this is important for developing knowledge that can strengthen interprofessional cooperation in emergency situations. Three focus groups were conducted. Physicians with experience in municipal emergency inpatientistic approach. They have a considerable responsibility to work independently and safely in a setting where both the patient and the patient's family play important roles. Establishing arenas for collaborative practice between physicians and nurses on clinical issues may be a way of strengthening patient safety and nurses' clinical judgement.

The aim of the current study was to (a) measure the socioeconomic inequalities in oral health and examine whether the inequalities are greater in disease experience or in its treatment and to (b) decompose the factors that influence oral health inequalities among the adults of Guangdong Province.

A cross-sectional study was conducted among 35- to 44-year-old and 65- to 74-year-old adults in Guangdong Province. All participants underwent oral health examinations and answered questionnaires about their oral health. We measured the concentration indices of the DMFT and its separate components, namely, decayed teeth (DT), missing teeth (MT), and filled teeth (FT), to explore the inequalities in oral health status; then, we analysed its decomposition to interpret the factors that influence the inequalities.

The results showed that significant inequality was concentrated on FT (CI =  0.24, 95% CI = 0.14/0.33, SE = 0.05). The concentration indices for the DMFT (CI =  0.02, 95% CI =  0.02/0.06, SE = 0.02) and Mreater access to dental care for low-income groups. Welfare policies are skewed towards rural areas and low-income people.

Despite the numerous benefits associated with physical activity (PA), most nurses are not active enough and few interventions have been developed to promote PA among nurses. A secondary analysis of raw data from a single-centre, three-arm parallel-group randomized controlled trial was conducted to assess whether work-related characteristics and general mood states predict changes in total weekly moderate-to-vigorous intensity PA (MVPA) and average daily step-count among nurses participating in a 6-week web-based worksite intervention.

Seventy nurses (mean

46.1 ± 11.2years) were randomized to an individual-, friend-, or team-based PA challenge. Participants completed questionnaires pre- and post-intervention assessing work-related characteristics (i.e., shift schedule and length, number of hours worked per week, work role) and general mood states (i.e., tension, depression, anger, confusion, fatigue, vigour). Participants received a PA monitor to wear before and during the 6-week PA challenge, which wasuis trial was registered retrospectively. This study adheres to the CONSORT 2010 statement guidelines.

This study aimed to investigate the distribution of objective total occlusal force (TOF) and its association with dental health indicators dental status, number of natural teeth (NT), natural and rehabilitated teeth, natural posterior teeth (NT-Post), and natural and rehabilitated posterior teeth among Korean elders after controlling for various confounders encompassing socio-demographic factors, behavioral factors and health/oral health factors.

This cross-sectional study recruited 551 elders from the Sungbook-Gu health education cohort. TOF was measured using Prescale II as an outcome variable. Dental health indicators assessed by dentists were the main explanatory variables. Analysis of covariance and multivariable linear regression models were applied to evaluate the adjusted association of dental health indicators with TOF. Gender and age group stratified analyses were also applied.

TOF was higher in dentate elders than denture wearers in males and younger elders. The adjusted mean of TOF and standard error was 464.24 ± 17.15N for dentate elders, 297.15 ± 28.85N for partial denture wearers, 280.42 ± 47.71N for complete denture wearers. Among all dental health indicators, NT-Post showed the highest association with TOF (partial r = 0.330, p < 0.001, R

 = 0.15), followed by NT (partial r = 0.329, p < 0.001, R

 = 0.16). Older elders highlighted the association of NT (partial r = 0.37, p < 0.001, R

 = 0.18). Males decreased the association of NT (partial r = 0.30, p < 0.001, R

 = 0.20) and NT-Post (partial r = 0.29, p < 0.001, R

 = 0.20).

TOF was significantly associated with dental health indicators, and its association was modified by sex and age group.

TOF was significantly associated with dental health indicators, and its association was modified by sex and age group.

Prediction of length of stay (LOS) at admission time can provide physicians and nurses insight into the illness severity of patients and aid them in avoiding adverse events and clinical deterioration. It also assists hospitals with more effectively managing their resources and manpower.

In this field of research, there are some important challenges, such as missing values and LOS data skewness. Moreover, various studies use a binary classification which puts a wide range of patients with different conditions into one category. To address these shortcomings, first multivariate imputation techniques are applied to fill incomplete records, then two proper resampling techniques, namely Borderline-SMOTE and SMOGN, are applied to address data skewness in the classification and regression domains, respectively. Finally, machine learning (ML) techniques including neural networks, extreme gradient boosting, random forest, support vector machine, and decision tree are implemented for both approaches to predict LOS ents into account and apply proper solutions for interpolation of missing values.

We propose a new method comprised of three stages missing values imputation, data skewness handling, and building predictive models based on classification and regression approaches. Our results indicated that addressing these challenges in a proper way enhanced the performance of models significantly, which led to a more valid prediction of LOS.

We propose a new method comprised of three stages missing values imputation, data skewness handling, and building predictive models based on classification and regression approaches. Our results indicated that addressing these challenges in a proper way enhanced the performance of models significantly, which led to a more valid prediction of LOS.