Hellenic Statistical Authority

Background/Objectives: In hypertension (HTN), lifestyle modification is important for controlling blood pressure (BP) and lipidemic profile. The HINTreat trial showed that an anti-inflammatory diet was associated with improved endothelial function, after six months of intensive nutritional treatment. Methods: This post hoc analysis of the HINTreat trial examined how adherence to various nutritional patterns like the Mediterranean Diet (MedDiet), the Dietary Approaches to Stop Hypertension (DASH) diet, and anti-inflammatory diet, had impact on the blood lipids profile and the CVD risk. Patients with stage 1 HTN, allocated either on intensive lifestyle treatment (ILT) or usual care (UC) standard treatment, participated in the analysis. From the original sample size of the HINTreat trial, all patients that were prescribed lipid lowering medication at any time of the study period were excluded from the total analysis; thus, the intervention and the control groups consisted of 33 and 28 patients, respectively. Nutritional intakes were assessed with repeated 24 h recalls from the previous day, and dietary indexes and scores were calculated as follows: MedDiet score, DASH index, and Dietary Inflammatory Index (DII). After six months of intervention, changes in the nutritional indexes and their effect on the lipidemic profile and CVD risk were analyzed. Results: In the ILT group, reductions were noted in Ambulatory Blood Pressure Monitoring (ABPM) for day systolic BP (SBP) (-12.7 mmHg) and diastolic BP (DBP) (-8.4 mmHg), total cholesterol (TC) (-35.4 mg/dL), triglycerides (TG) (-21.4 mg/dL), LDL cholesterol (LDL-C) (-27.5 mg/dL) concentrations, and CVD risk score (-1.5%), p < 0.001 for all. Multiple regression analysis showed that dietary quality indices independently influenced improvements in blood lipid profile and cardiovascular disease (CVD) risk among patients receiving ILT. Specifically, a higher Mediterranean Diet (MedDiet) score was significantly associated with reductions in TC (B = -7.238, p < 0.001), TG (B = -4.103, p = 0.035), and LDL-C (B = -6.431, p = 0.004). The DASH index was positively associated with TG levels (B = 9.913, p = 0.010), suggesting a more complex relationship that may require further investigation. In addition, DII was positively associated with increased CVD risk (B = 0.973, p < 0.001). Conclusions: The findings suggest that ILT can improve BP levels, target blood lipids concentrations, and reduce CVD risk in patients with stage 1 HTN.

IntroductionBurnout syndrome was first evaluated in the working environment of pilots and air-traffic controllers in 1973 and was officially described in scientific terms by the psychologist Christina Maslach. Recent research proves that the syndrome is currently present among healthcare professionals worldwide. Thus, we investigated whether it is also present in the medical student community, which faces the main characteristics of the syndrome from the beginning of their educational career.Materials and methodsThe research was conducted on a sample of 400 Greek medical students at Aristotle University of Thessaloniki, using the Maslach Basic Inventory questionnaire with three sections: exhaustion, depersonalization, and low satisfaction with personal achievements. The sample was analyzed based on the parameters of gender and the year of study of each individual participant.ResultsIn total, 33.5% of the participants were found to have a high risk or tendency for burnout syndrome, 11.75% of whom were at high risk and suffered from the syndrome. Moreover, 21.75% of the participants had a tendency toward suffering the syndrome. No remarkable correlation was discovered for the gender variable, whereas, for the year of study, there was an important correlation between the more senior years (5th and 6th) and higher risk.DiscussionThe syndrome’s prevalence from the survey is scientifically important, urging the academic community to examine whether, instead of shaping healthy doctors, in reality, the education system produces patients with the syndrome. Protective measures include cognitive-behavioral therapy, mindfulness, the six-stage adult learning technique, periodical screening of the syndrome, as well as encouragement for higher personal achievements.

Purpose: The present study highlights the attitude of Health Professionals of the General Oncology Hospital of Attica towards integrated Hospital Information Systems (HISs) and the socio-demographic factors that shape them. Background: Health professionals and patients are becoming more educated and, at the same time, more demanding in terms of the use of information and communication technologies (ICT). The need for automation to be integrated into the health sector is highlighted by the growing requirement to handle the increasing volume of health information that is becoming more and more abundant, as well as the need to improve the productivity and efficiency of health professionals. Materials-Methods: A quantitative stratified sampling survey was conducted using the occupational category of the employees as a stratification variable. Data were collected using the standard Nurses Attitudes Towards Computerization (NATC) self-report questionnaire and Statistical analysis was conducted using SPSS-v25. Results: The employees of the General Oncology Hospital under study have a positive attitude toward the use of Hospital Information Systems (Mean=3.73, SD=0.54). Statistically significant differences between occupational categories were found only for the dimension of “Providing quality care to the patient” (p=0.007) and more specifically between nurses and doctors. Regarding the effect of demographic factors on the five dimensions that form the attitude of health professionals towards the HIS, only “gender” (p = 0.009) and “occupation categories” (p=0.007) seem to influence this attitude and specifically the dimension “Providing quality care to the patient”, whereas “previous experience in the use of computers at work” affects the dimension “Reduction in jobs” (p=0.009). The effect of gender was statistically significant only in terms of the “quality of care provided to patients” through the use of HIS. The analysis revealed that men hold a more positive attitude towards the use of computers compared to women. Conclusions: Employees at the General Oncology Hospital under study have a positive attitude toward the use of Hospital Informatics Systems (HISs), according to the statistical analysis of the data. Employees who now use personal computers for work tend to disagree with the idea that HIS will result in job losses, and men tend to have the most positive attitudes.

Research has suggested that maternal diet and characteristics may influence the diet of offspring during childhood. The present cross-sectional study aimed to assess the influence of distinct maternal characteristics and the diet quality of mothers on the prevalence of household food insecurity (FI) and the diet quality of children. A total of 179 mother–child pairs were recruited from two primary schools in the metropolitan area of Thessaloniki. The children were aged between 10 and 12 years old. Diet quality was assessed as the level of adherence to the Mediterranean diet (MD), with the use of the KIDMED for the children and the MedDietScore for the mothers. The household FI and the social and demographic characteristics of the mothers were also recorded, and anthropometric measures of both the mothers and their children were collected. Approximately ¼ (26.3%) of the pairs reported some degree of FI, with a greater prevalence (64.7%) within single-mother families. Moreover, FI affected the level of maternal MD adherence (p = 0.011). On the other hand, FI was decreased in households with a greater maternal educational level (OR: 0.25; 95% CI: 0.10–0.63) and conjugal family status (OR: 0.15; 95% CI: 0.87–0.52). Maternal adherence to the MD was inversely related to the respective adherence of their offspring (OR: 0.93; 95% CI: 0.86–0.997), suggesting that during periods of financial constraints, maternal diet quality is compromised at the expense of affording a better diet for the minors in the family.

Rising global population and climate change realities dictate that agricultural productivity must be accelerated. Results from current traditional research approaches are difficult to extrapolate to all possible fields because they are dependent on specific soil types, weather conditions, and background management combinations that are not applicable nor translatable to all farms. A method that accurately evaluates the effectiveness of infinite cropping system interactions (involving multiple management practices) to increase maize and soybean yield across the US does not exist. Here, we utilize extensive databases and artificial intelligence algorithms and show that complex interactions, which cannot be evaluated in replicated trials, are associated with large crop yield variability and thus, potential for substantial yield increases. Our approach can accelerate agricultural research, identify sustainable practices, and help overcome future food demands.

If a given aggregate process S is a mixed compound Poisson process under a probability measure P, we provide a characterization of all probability measures Q on the domain of P, such that P and Q are progressively equivalent and S remains a mixed compound Poisson process with improved properties. This result generalizes earlier work of Delbaen and Haezendonck (Insurance Math. Econom. 8 (1989) 269–277). Implications related to the computation of premium calculation principles in an insurance market possessing the property of no free lunch with vanishing risk are also discussed.

Obesity is defined as abnormal or excessive fat accumulation that presents a risk to health. The ability to exercise is affected by adiposity, and this mechanism involves low-grade chronic inflammation and homeostatic stress produced mainly in adipocytes, which can result in abnormal adipokine secretion. To date, the gold standard for cardiorespiratory fitness assessment is considered to be the maximum oxygen uptake (VO2max). The aim of the present study was to assess the prognostic value of hematological parameters of childhood obesity, as potential predictors of cardiorespiratory fitness (VO2max), using a sample of children and adolescents with obesity and risk for diabetes. A total of 84 clinically healthy children and adolescents were recruited, of which 21 were considered lean, 22 overweight and 41 obese, with a mean age of 12.0 ± 1.9, 11.4 ± 2.0, and 11.2 ± 2.1 years old, in each weight status category, respectively. Age and sex did not differ between groups. Hematologic testing was performed after 12 h of fasting including glucose, serum lipids, insulin, hc-CRP, adiponectin, leptin and fibrinogen levels. Cardiorespiratory capacity for exercise was assessed to determine VO2max, using a cycle ergometer. The VO2max was negatively correlated with progressive strength to the BMIz (−0.656, p ≤ 0.001), hs-CRP (r = −0.341, p ≤ 0.002), glucose (r = −0.404, p ≤ 0.001) and insulin levels (r = −0.348, p ≤ 0.001), the homeostasis model assessment of insulin resistance (HOMA-IR) (r = −0.345, p ≤ 0.002), as well as to the leptin (r = −0.639, p ≤ 0.001) and fibrinogen concentrations (r = −0.520, p ≤ 0.001). The multivariate analysis revealed that only leptin and fibrinogen concentrations could predict the VO2max adjusted for the BMIz of participants. The receiver operating characteristic (ROC) curve for the diagnostic accuracy of leptin, hs-CRP and fibrinogen concentrations for the prediction of VO2max revealed a good diagnostic ability for all parameters, with leptin being the most promising one (area under the curve (AUC): 99%). The results verify that in children with obesity, VO2max may be predicted from hematological parameters (leptin and fibrinogen), possibly bypassing more invasive methods.

Abstract It is widely recognized that planting soybean [Glycine max (L.) Merr.] early is critical to maximizing yield, but the influence of changing management factors when soybean planting is delayed is not well understood. The objectives of this research were to (a) identify management decisions that increase seed yield in either early‐ or late‐planted soybean scenarios, and (b) estimate the maximum break‐even price of each management factor identified to influence soybean seed yield in early‐ or late‐planted soybean. Producer data on seed yield and management decisions were collected from 5682 fields planted with soybean during 2014−2016 and grouped into 10 technology extrapolation domains (TEDs) based on growing environment. A subsample of 1512 fields was classified into early‐ and late‐planted categories using terciles. Conditional inference trees were created for each TED to evaluate the effect of management decisions within the two planting date timeframes on seed yield. Management strategies that maximized yield and associated maximum break‐even prices varied across TEDs and planting date. For early‐planted fields, higher yields were associated with artificial drainage, insecticide seed treatment, and lower seeding rates. For late‐planted fields, herbicide application timing and tillage intensity were related to higher yields. There was no individual management decision that consistently increased seed yield across all TEDs.