BACKGROUND: The ability of a nurse to make effective clinical decisions is the most important factor that can affect the treatment quality. However, several factors can affect the ability of nursing and midwifery students to make effective clinical decisions.
OBJECTIVE: This study aims to identify the confounding factors that may affect the clinical decision making of nurses and thus patient outcomes after the COVID-19 pandemic in Jordan.
METHODS: A descriptive cross-sectional design was employed in this study. An online self-administered questionnaire was distributed to 269 nursing and midwifery students selected through purposive sampling, 224 of whom completed the questionnaire. The valid and reliable nursing decision-making instrument, which consisted of 24 items, was employed to gather the data, and descriptive statistics and simple linear regression were employed for the data analysis. Data was collected from November to the end of December 2022.
RESULTS: Among the respondents, 72.8% were female, and the average age was 20.79 years (SD = 1.44). The vast majority of the respondents (94.6%) was unmarried, and 74.1% were pursuing a nursing degree. The simple linear regression analysis showed that clinical decision making had a negative and significant relationship with social media usage of an average of 6 h a day (β=-0.085). Moreover, the male nursing students obtained lower clinical decision-making scores (β= -0.408) compared with the female nursing students.
CONCLUSIONS: Social media usage and gender have a considerable effect on the clinical decision making of the nursing and midwifery students. Therefore, the confounding factors that can affect the clinical decision making of nurses should be discussed further, and strategies to address such factors should be implemented.

暂无摘要。

The occurrence and development of oesophageal neoplasia (ON) is closely related to hormone changes. The aim of this study was to investigate the causal relationships between age at menarche (AAMA) or age at menopause (AAMO) and benign oesophageal neoplasia (BON) or malignant oesophageal neoplasia (MON) from a genetic perspective.
Genome-wide association study (GWAS) summary data of exposures (AAMA and AAMO) and outcomes (BON and MON) were obtained from the IEU OpenGWAS database. We performed a two-sample Mendelian randomization (MR) study between them. The inverse variance weighted (IVW) was used as the main analysis method, while the MR Egger, weighted median, simple mode, and weighted mode were supplementary methods. The maximum likelihood, penalized weighted median, and IVW (fixed effects) were validation methods. We used Cochran\'s Q statistic and Rucker\'s Q statistic to detect heterogeneity. The intercept test of the MR Egger and global test of MR pleiotropy residual sum and outlier (MR-PRESSO) were used to detect horizontal pleiotropy, and the distortion test of the MR-PRESSO analysis was used to detect outliers. The leave-one-out analysis was used to detect whether the MR analysis was affected by single nucleotide polymorphisms (SNPs). In addition, the MR robust adjusted profile score (MR-RAPS) method was used to assess the robustness of MR analysis.
The random-effects IVW results showed that AAMA had a negative genetic causal relationship with BON (odds ratio [OR] = 0.285 [95% confidence interval [CI]: 0.130-0.623], P = 0.002). The weighted median, maximum likelihood, penalized weighted median, and IVW (fixed effects) were consistent with random-effects IVW (P < 0.05). The MR Egger, simple mode and weighted mode results showed that AAMA had no genetic causal relationship with BON (P > 0.05). However, there were no causal genetic relationships between AAMA and MON (OR = 1.132 [95%CI: 0.621-2.063], P = 0.685), AAMO and BON (OR = 0.989 [95%CI: 0.755-1.296], P = 0.935), or AAMO and MON (OR = 1.129 [95%CI: 0.938-1.359], P = 0.200). The MR Egger, weighted median, simple mode, weighted mode, maximum likelihood, penalized weighted median, and IVW (fixed effects) were consistent with a random-effects IVW (P > 0.05). MR analysis results showed no heterogeneity, the horizontal pleiotropy and outliers (P > 0.05). They were not driven by a single SNP, and were normally distributed (P > 0.05).
Only AAMA has a negative genetic causal relationship with BON, and no genetic causal relationships exist between AAMA and MON, AAMO and BON, or AAMO and MON. However, it cannot be ruled out that they are related at other levels besides genetics.

The association between cadmium levels in the body and diabetes has been extensively studied, with sometimes contrasting results. Smoking is the primary non-occupational source of cadmium, and constitutes a risk factor for diabetes. One can therefore hypothesize that the putative association with cadmium is actually explained by tobacco. To fully control for this confounding factor, we studied the relationship between blood cadmium and glycated haemoglobin (HbA1c) levels separately in never-, former and current smokers.
We studied a sample of 2749 middle-aged adults from the cross-sectional ELISABET survey in and around the cities of Lille and Dunkirk; none had chronic kidney disease or a history of haematological disorders, and none were taking antidiabetic medication. The blood cadmium level-HbA1c associations in never-, former and current smokers were studied in separate multivariate models. The covariables included age, sex, city, educational level, tobacco consumption (or passive smoking, for the never-smokers), body mass index, estimated glomerular filtration rate, and (to take account of the within-batch effect) the cadmium batch number.
In the multivariate analysis, a significant association between cadmium and HbA1c levels was found in all three smoking status subgroups. A 0.1 μg/L increment in blood cadmium was associated with an HbA1c increase [95% confidence interval] of 0.016% [0.003; 0.029] among never-smokers, 0.024% [0.010; 0.037] among former smokers, and 0.020% [0.012; 0.029] among current smokers.
The observation of a significant association between the blood cadmium concentration and HbA1c levels in a group of never-smokers strengthens the hypothesis whereby diabetes is associated with cadmium per se and not solely with tobacco use. The small effect size observed in our population of never smokers with low levels of exposure to cadmium suggested that the risk attributable to this metal is not high. However, the impact of exposure to high cadmium levels (such as occupational exposure) on the risk of diabetes might be of concern.