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Effective policies to address poor food choices and dietary patterns need to consider the complex set of motives affecting eating behavior. This study examined how different eating motives are associated with anthropometry, body composition, and dietary intake. Our analysis is based on a cross-sectional sample with 429 healthy adults in three different age groups collected in Germany from 2016 to 2018. Dietary intake, Body Mass Index (BMI), waist circumference (WC), and fat-free mass (FFM) were measured by standardized methods. Eating motives were measured using The Eating Motivation Scale (TEMS). Regressing dietary intakes and anthropometric indicators on TEMS motives, we identify the main sources of variation in diet and nutritional status separately for men and women. Results indicated the Health motive to be positively associated with FFM (B±SE=1.72±0.44) and negatively with WC (B±SE=-3.23±0.81) for men. For women, the Need & Hunger motive was positively associated with FFM (B±SE=1.63±0.44) and negatively with WC (B±SE=-2.46±0.81). While Liking and Habits were the most frequently stated eating motives, we did not find them to be significantly related to the nutritional status. Other motives were associated with dietary intake but not anthropometry or body composition. The Price motive was positively and the Convenience motive was negatively associated with energy (B±SE=63.77±19.98;B±SE=-46.96±17.12) and carbohydrate intake (B±SE=7.15±2.65;B±SE=-5.98±2.27) for men. The results highlight the need for more differentiated analyses of eating motives, beyond comparing the relative importance of motives based on mean values, towards the association of motives with dietary intake and nutritional status.'Eating well' or 'food-related well-being' have attracted scientific attention since the 1990s in the public health, psychology, sociology and, to a lesser degree, economics fields. A large number of empirical studies have been conducted on the content, determinants and measurements of eating well. However, what is missing is a theoretical framework that delineates the structure of well-being and highlights both the problem of one's mental 'adaptation' to straitened circumstances and the importance of one's agency and democratic practices. In this regard, Amartya Sen's capability approach shows promise. The objective of this study was to apply the capability approach to understand what eating well means to the population in Japan and to articulate its theoretical implications. The perspective of Japanese participants was elicited by conducting a web-based questionnaire survey (n = 973). The seven categories of eating well that were identified in Japan included two objectives (health and pleasure) and five strategies (regularity, required intake, moderation, balance and quality) to achieve them. Through additional analysis of their 'actual' eating practices, it was elucidated that their satisfaction was relatively high despite their actual failure to achieve such eating well, which implies the critical importance of plural (both subjective and objective) perspectives for ethically evaluating the level of eating well.Cardiac 123I-metaiodobenzylguanidine (MIBG) uptake correlates with the extent of cardiac sympathetic denervation found in disease with Lewy pathology, such as Parkinson's disease (PD). Protein α-synuclein, the main component of Lewy body, is a candidate biomarker of PD, but its relationship with cardiac MIBG uptake has never been explored. Plasma α-synuclein levels were measured in 37 patients with early PD. Cardiac 123I-MIBG scintigraphy and 18F-FP-CIT brain PET were performed, and striatal dopamine transporter (DAT) uptake was quantified using automated segmentation. The relationships of plasma α-synuclein levels with cardiac MIBG and striatal DAT uptake were investigated. The plasma α-synuclein level correlated with early (R = 0.38, P = 0.033) and delayed (R = 0.49, P = 0.0055) MIBG heart-to-mediastinum (H/M) ratios, and its correlation with delayed H/M ratio remained significant after adjustment with age, disease duration, motor severity, and striatal DAT uptake (P = 0.016). The regional SUVRs of any subregions of caudate and putamen did not correlate with plasma α-synuclein level. In the patients with early PD, the plasma α-synuclein level correlated with cardiac sympathetic denervation, but not with nigrostriatal degeneration. This may suggest that plasma α-synuclein levels more readily reflect the peripheral deposition of Lewy bodies than their central deposition.
In the operating theatre the biocleaning process is essential after each passage to guarantee the non-transmission of potentially pathogenic microbial agents from patient to patient.
To evaluate the quality of this biocleaning, the Operational Hygiene Team used a very sensitive method to detect residual traces of blood luminol (3-aminophthalhydrazide) on the basis of methods used by the police.
Luminol was used after conventional one-step biocleaning with the usual detergent/disinfectant, after bleach disinfection before biocleaning, and after biocleaning with a steam cleaner.
Lunimol revealed extended traces of blood corresponding to the passage of the strip on the floor, in the corners of the room and on certain pieces of furniture which are difficult to clean. However, no luminescence was detected on the surfaces cleaned by a single passage of the steam cleaner.
In all cases, the rooms appeared visually clean and traces of blood only became visible when revealed by luminol. We also showed that usual detergents or disinfectants do not remove blood and instead actually spread it over surfaces that may seem visually clean. These results led us to modify our procedure and also confirmed our wish to generalize the use of the steam cleaning technique for immediate cleaning. Furthermore, our tests show the relevance of luminol as a validation tool for the quality and method of biocleaning.
In all cases, the rooms appeared visually clean and traces of blood only became visible when revealed by luminol. We also showed that usual detergents or disinfectants do not remove blood and instead actually spread it over surfaces that may seem visually clean. These results led us to modify our procedure and also confirmed our wish to generalize the use of the steam cleaning technique for immediate cleaning. Furthermore, our tests show the relevance of luminol as a validation tool for the quality and method of biocleaning.Nickel (Ni) is an environmental toxicant that can cause toxic damage to humans and animals. Although the hepatotoxicity of Ni has been confirmed, its precise mechanism is still unclear. In this study, the results showed that nickel chloride (NiCl2)-treatment could induce mice hepatotoxicity including hepatic histopathological alterations and up-regulation of serum AST and ALT. According to the results, NiCl2 increased malondialdehyde (MDA) production while reducing total antioxidant capacity (T-AOC) activity and glutathione (GSH) content. Varoglutamstat compound library inhibitor Additionally, NiCl2 induced mitochondrial damage which was featured by increase in mitochondrial ROS (mt-ROS) and mitochondrial membrane potential (MMP) depolarization. The mitochondrial respiratory chain complexes I-IV and ATP content were decreased in the liver of NiCl2-treated mice. Meanwhile, NiCl2 caused hepatic ferroptosis accompanied by increased iron content in the liver and up-regulation of cyclooxygenase 2 (COX-2) protein and mRNA expression levels, down-regulation of glutathione eroxidase 4 (GPX4), ferritin heavy chain 1 (FTH1) and nuclear receptor coactivator 4 (NCOA4) protein and mRNA expression levels. Altogether, the above mentioned results indicate that NiCl2 treatment may induce hepatic damage through mitochondrial damage and ferroptosis.For many years, the median age of diagnosis has been the most widely used metric for evaluating changes in the early diagnosis of autism. The logic appears simple if health and educational systems improve their ability to diagnose autism at early ages, then it would seem that the median age should fall. However, despite decades of efforts in the United States to improve the early identification, the median age of diagnosis has hardly budged. But simple logic can be deceptive. In a watershed analysis of data from the Autism and Developmental Disabilities Monitoring Network-the most prominent study of autism prevalence in the United States-Shaw and colleagues apply different metrics to existing data to yield novel findings. Citing earlier methodological work published in this journal and others, the authors report what they refer to as the "simple median age of diagnosis" (ie, the median age at the earliest recorded autism spectrum disorder diagnosis or special educational eligibility before 8 years of age) alongside 2 alternative metrics (1) "median age at identification"-similar to the "simple median" except that it also includes children who meet case definitions for autism but are not yet identified by 8 years of age (ie, they do not have a recorded diagnosis or record of special education eligibility); and (2) cumulative incidence of autism by 4 years of age-ie, the ratio of the number of children diagnosed by 48 months of age divided by the total number of children in the population. Results have tremendous implications both for research and policy.Nearly 30%, or close to 2 billion, of the world's population are youth 10 to 24 years of age. This number is projected to peak in the next decade.1 Greater focus on behaviors that are largely initiated and escalate during adolescence, and manifest ensuing morbidity and mortality in adulthood, can reduce long-term public health burden. This is especially true for alcohol use, which is the most commonly abused substance among adolescents,2 and 1 of the leading causes of morbidity globally,3 with more than 4,000 alcohol-attributable deaths per year in the United States specifically.4 Indeed, in the United States, alcohol use among adolescents is high, with over 60% of 12th graders reporting lifetime use, nearly 35% reporting use in the past month, and nearly 20% reporting binge drinking in the past 2 weeks.2 Furthermore, approximately 5% of 12- to 17-year-olds meet criteria for an alcohol use disorder.5 Despite high rates of alcohol use among adolescents and poor psychosocial, neurocognitive, and health outcomes related to use, 6 it is estimated that only about 10% of adolescents needing substance use treatment access treatment,5 with 75% of those accessing treatment experiencing a relapse.7 Although a number of prevention and treatment interventions have demonstrated efficacy in the short term, there are few data on programs and program characteristics that result in durable treatment effects.Video gaming (also known as computer gaming or electronic gaming) has stirred scientific interest since its widespread adoption as a recreational activity in the 1980s. Initial research focused on the negative consequences of violent content and the development of excessive or addictive use by players. Based on evidence showing that some players develop clinically significant addiction-like symptoms such as loss of control and impaired individual, social, and occupational functioning,1 Gaming Disorder has been recognized as an official diagnosis in the International Classification of Diseases, 11thedition (ICD-11).2 However, recent changes in video games have again produced qualitatively new problems.