Effect of Various Factors on the Incidence and Intensity of Rancid Flavor in Raw Milk Handled in Bulk Tanks

Dairy Manufacturin

Development and validation of clinical profiles of patients hospitalized due to behavioral and psychological symptoms of dementia.

Patients hospitalized on acute psychogeriatric wards are a heterogeneous population. Cluster analysis is a useful statistical method for partitioning a sample of patients into well separated groups of patients who present common characteristics. Several patient profile studies exist, but they are not adapted to acutely hospitalized psychogeriatric patients with cognitive impairment. The present study aims to partition patients hospitalized due to behavioral and psychological symptoms of dementia into profiles based on a global evaluation of mental health using cluster analysis. Using nine of the 13 items from the Health of the Nation Outcome Scales for elderly people (HoNOS65+), data were collected from a sample of 542 inpatients with dementia who were hospitalized between 2011 and 2014 in acute psychogeriatric wards of a Swiss university hospital. An optimal clustering solution was generated to represent various profiles, by using a mixed approach combining hierarchical and non-hierarchical (k-means) cluster analyses associated with a split-sample cross-validation. The quality of the clustering solution was evaluated based on a cross-validation, on a k-means method with 100 random initial seeds, on validation indexes, and on clinical interpretation. The final solution consisted of four clinically distinct and homogeneous profiles labeled (1) BPSD-affective, (2) BPSD-functional, (3) BPSD-somatic and (4) BPSD-psychotic according to their predominant clinical features. The four profiles differed in cognitive status, length of hospital stay, and legal admission status. In the present study, clustering methods allowed us to identify four profiles with distinctive characteristics. This clustering solution may be developed into a classification system that may allow clinicians to differentiate patient needs in order to promptly identify tailored interventions and promote better allocation of available resources

Effects of childhood multiple maltreatment experiences on depression of socioeconomic disadvantaged elderly in Brazil.

Childhood maltreatment is a risk factor for depression in nonelderly individuals. We investigated the effect of childhood abuse and neglect on the development of geriatric depression and its severity in socioeconomically disadvantaged individuals. A cross-sectional study investigated 449 individuals aged 60-103 years sorted by data using the enrollment list health coverage from the city of Porto Alegre, Brazil. The fifteen-item Geriatric Depression Scale was used to assess depression. The Childhood Trauma Questionnaire was used to identify emotional and physical neglect, in addition to emotional, physical, and sexual abuse. Geriatric depression was associated with emotional and physical abuse and neglect. Emotional abuse and neglect, as well as physical abuse, increased the odds of an individual developing severe depression. Correlations were observed for combined forms of maltreatment, with two to five maltreatment types producing mild to moderate symptoms. Similar trends were observed for severe symptoms in a limited number of cases. The cross-sectional design limit causal inference. Retrospective measurement of childhood maltreatment may increase recall and response bias. Late-life depression and its severity significantly correlated with the extent of childhood emotional and physical abuse and neglect. Thus, research should focus on supporting trauma survivors late in life, particularly when they come from low or middle income countries because these patients have higher rates of depression in elderly populations

Childhood adversity: A gateway to multimorbidity in older age?

Multimorbidity, or co-occurrence of several chronic diseases, has major consequences in terms of function, quality of life and mortality. Recent advances suggest that the aetiology of multimorbidity includes a life-long process. The purpose of this study was to determine the association between childhood adversity and multimorbidity in community-dwelling older adults, and to investigate variation in participants born immediately before, during and at the end of the Second World War. Participants were 4731 community-dwelling older adults who enrolled in the Lausanne cohort 65+ study (Switzerland) at age 65-70 years in 2004/2009/2014. A baseline questionnaire provided several indicators of childhood adversity including premature birth, food restrictions, child labour, family economic environment, serious illness/accident, and stressful life events. Multimorbidity at age 67-72 years was defined as ≥2 active chronic diseases at the 2-year follow-up questionnaire. All childhood adversity indicators except premature birth were significantly associated with multimorbidity. Odds ratio (OR) ranged from 1.23 (P = 0.034) for poor family economic environment to 1.74 (P < 0.001) for stressful life events. In a multivariable model adjusted for socioeconomic status, health behaviours and stressful life events in adulthood (>16 years), a history of serious illness/accident (OR = 1.45; P < 0.001) and stressful life events (OR = 1.42; P = 0.001) in childhood remained significantly associated with multimorbidity. Comparisons between cohorts indicated substantial variations in the prevalence of childhood adversity indicators but similar associations with multimorbidity. There was an independent association between childhood adversity and multimorbidity after age 65. This study encourages a comprehensive life-course perspective to better understand and potentially prevent multimorbidity

Entrepreneurship in the Fashion Industry

In this chapter, we explore entrepreneurship in the slow fashion industry at a time of significant restructuring in the global fashion industry. Drawing on a case study of selfemployed designers in the slow fashion industry in Geneva (Switzerland), Rotterdam (The Netherlands) and Toronto (Canada), we argue that small, slow fashion businesses, through their innovative design, branding and retail practices, have carved out a unique niche in the hyper competitive fashion marketplace. In particular, we demonstrate that they have a very innovative approach to sustainability, characterized by an interest toward the use of salvage materials, the revalorization of craftsmanship, as well as a tendency for handmade productions. Driven by personal beliefs and values, these designers seem to wish to reconcile personal fulfillment with professional achievement as they seek to compete with the paradigm of fast fashion that continues to dominate the fashion industry. This paper contributes to our understanding of the entrepreneurial practices of emerging designers, in particular in the slow fashion industry. It also contributes to the emerging studies in fashion and design-oriented industries that consider the value craftsmanship and the wish to “stay local”, predicting a rise or return of the makers and small-scale manufacturing in contemporary cities

Influence of childhood abuse and neglect subtypes on late-life suicide risk beyond depression.

The association of childhood maltreatment and suicide has been extensively examined within the population. Depression figures as a main cause for the elevated suicide rate in advanced ages and is often related to childhood maltreatment. The purpose of the present study was to examine the relationship between childhood maltreatment subtypes and suicide risk, testing geriatric depression as a moderator. This is a cross-sectional study looking at a sample of 449 individuals 60 year s old or older from the Multidimensional Study of the Elderly of Porto Alegre Family Health Strategy, Brazil (EMI-SUS/POA). Childhood maltreatment (Childhood Trauma Questionnaire), geriatric depressive symptoms (Geriatric Depression Scale), and suicide risk (Mini International Neuropsychiatric Interview) were assessed. The subtypes of childhood abuse and neglect were significantly associated with suicide risk. In the multivariate analysis, controlling for age, gender, income, marital status, ethnicity, smoking, and geriatric depression symptoms, all trauma subtypes remained associated with suicide risk with the exception of physical neglect (EA = 3.65; PA = 3.16; SA = 5.1; EN = 2.43; PN = 1.76). The present study showed that childhood maltreatment subtypes predicted suicide risk, and geriatric depression does not directly mediate this relation

Association of genetic risk scores with body mass index in Swiss psychiatric cohorts.

OBJECTIVE: Weight gain is associated with psychiatric disorders and/or with psychotropic drug treatments. We analyzed in three psychiatric cohorts under psychotropic treatment the association of weighted genetic risk scores (w-GRSs) with BMI by integrating BMI-related polymorphisms from the candidate-gene approach and Genome-Wide Association Studies (GWAS). MATERIALS AND METHODS: w-GRS of 32 polymorphisms associated previously with BMI in general population GWAS and 20 polymorphisms associated with antipsychotics-induced weight gain were investigated in three independent psychiatric samples. RESULTS: w-GRS of 32 polymorphisms were significantly associated with BMI in the psychiatric sample 1 (n=425) and were replicated in another sample (n=177). Those at the percentile 95 (p95) of the score had 2.26 and 2.99 kg/m higher predicted BMI compared with individuals at the percentile 5 (p5) in sample 1 and in sample 3 (P=0.009 and 0.04, respectively). When combining all samples together (n=750), a significant difference of 1.89 kg/m predicted BMI was found between p95 and p5 individuals at 12 months of treatment. Stronger associations were found among men (difference: 2.91 kg/m of predicted BMI between p95 and p5, P=0.0002), whereas no association was found among women. w-GRS of 20 polymorphisms was not associated with BMI. The w-GRS of 52 polymorphisms and the clinical variables (age, sex, treatment) explained 1.99 and 3.15%, respectively, of BMI variability. CONCLUSION: The present study replicated in psychiatric cohorts previously identified BMI risk variants obtained in GWAS analyses from population-based samples. Sex-specific analysis should be considered in further analysis