Dark Tetrad and psychological distress among male violent offenders and male community adults

The first aim of this study was to explore differences between male violent offenders and male community adults in Dark Tetrad traits and psychological distress. The second aim was to investigate moderation effects of dark traits in the prediction of psychological distress based on the membership of violent offenders or community adults. The sample included 142 male violent offenders (M = 40.73, SD = 11.43) convicted of murder, severe murder, or rape, and 573 men from the community population in Serbia without a history of criminal convictions (M = 41.71, SD = 15.11). Serbian adaptations of the Short Dark Triad (SD3), Comprehensive Assessment of Sadistic Tendencies (CAST), and Clinical Outcomes in Routine Evaluation - Outcome Measure (CORE-OM) were used. Results showed that violent offenders had higher scores on psychopathy and problems in social and general functioning, while community adults had higher scores on narcissism. Furthermore, moderation analyses showed that physical sadism was significantly correlated with risk behaviors in the community adults, but not in violent offenders.

Increased resting heart rate and glucose metabolism in a community population

Objective Resting heart rate (RHR) independently predicts cardiovascular death. Increased RHR is related to chronic diseases, but community-based studies are rare. We investigated this population and factors related to RHR. Methods In total, 374 participants underwent medical examinations from March 2019 to December 2019. Participants were divided into groups with low RHR (LRHR; <65 beats/minute) and high RHR (HRHR; ≥65 beats/minute). RHR was judged using resting electrocardiogram at physical examination. We conducted laboratory examinations, including glycosylated hemoglobin (HbA1c), fasting plasma glucose (FPG), and blood lipids, among participants with chronic diseases. We used Cox proportional risk regression and multivariate analyses for the following covariates: previous chronic diseases, body mass index (BMI), smoking, blood lipids, and FPG. Results The incidence of type 2 diabetes mellitus (T2DM) and HbA1c values were both significantly higher in the HRHR group than in the LRHR group. Spearman correlation analysis showed RHR had a positive correlation with low-density lipoprotein, BMI, FPG, and HbA1c (r = 0.104574, 0.117266, 0.116041, and 0.311761, respectively). Multiple linear regression analysis showed age, hypertension, T2DM, and HbA1c were factors influencing RHR. Conclusion RHR showed strong correlation with T2DM and HbA1c in our community population, suggesting that RHR may be a risk factor for cardiovascular disease.

Population Forecast of China’s Rural Community Based on CFANGBM and Improved Aquila Optimizer Algorithm

Rural community population forecasting has important guiding significance to rural construction and development. In this study, a novel grey Bernoulli model combined with an improved Aquila Optimizer (IAO) was used to forecast rural community population in China. Firstly, this study improved the Aquila Optimizer by combining quasi-opposition learning strategy and wavelet mutation strategy, and proposed the new IAO algorithm. By comparing with other algorithms on CEC2017 test functions, the proposed IAO algorithm has the advantages of faster convergence speed and higher convergence accuracy. Secondly, based on the data of China’s rural community population from 1990 to 2019, a consistent fractional accumulation nonhomogeneous grey Bernoulli model called CFANGBM(1, 1, b, c) was established for rural population forecasting. The proposed IAO algorithm was used to optimize the parameters of the model, and then the rural population of China was predicted. Four error measures were used to evaluate the model, and by comparing with other forecasting models, the experimental results show that the proposed model had the smallest error between the forecasted value and the real value, which illustrates the effectiveness of using the IAO algorithm to solve CFANGBM(1, 1, b, c). At the end of this paper, the forecast data of China’s rural population from 2020 to 2024 are given for reference.

Association between malnutrition status and incident heart failure in community population

Background Malnutrition is commonly prevalent in patients with heart failure (HF) and associated with poor prognosis. However, few studies have explored the association between malnutrition status and incident HF in community population. Method 379,759 participants (46.3% women) without HF at baseline from the UK Biobank were included. Nutritional status was evaluated using the Controlling Nutritional Status (CONUT) score, with higher scores reflecting worse nutritional status. Association between CONUT score and incident HF were investigated using Cox proportional hazard regression models, with adjustment for traditional risk factors. Results During a median follow-up of 8.1 years, 5,520 cases (1.5%) of HF occurred. The hazard ratio for incident HF with 1-point increase of CONUT scores was 1.16 (95% CI, 1.12–1.20, P&lt;0.001), after adjustment for traditional HF risk factors. Compared with good nutritional status, malnutrition was associated with significantly increased risk for incident HF [adjust hazard ratio were 1.25 (95% CI 1.17–1.34, P&lt;0.001) for mild malnutrition and 2.06 (95% CI 1.36–3.12, P=0.001) for moderate or severe malnutrition]. Conclusion Malnutrition status were associated with increased risk of incident HF. Further studies are needed to confirm these findings and evaluate the use of CONUT in community monitoring. FUNDunding Acknowledgement Type of funding sources: None.