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

Prediction of early weight gain during psychotropic treatment using a combinatorial model with clinical and genetic markers.

Psychotropic drugs can induce significant (>5%) weight gain (WG) already after 1 month of treatment, which is a good predictor for major WG at 3 and 12 months. The large interindividual variability of drug-induced WG can be explained in part by genetic and clinical factors. The aim of this study was to determine whether extensive analysis of genes, in addition to clinical factors, can improve prediction of patients at risk for more than 5% WG at 1 month of treatment. Data were obtained from a 1-year naturalistic longitudinal study, with weight monitoring during weight-inducing psychotropic treatment. A total of 248 Caucasian psychiatric patients, with at least baseline and 1-month weight measures, and with compliance ascertained were included. Results were tested for replication in a second cohort including 32 patients. Age and baseline BMI were associated significantly with strong WG. The area under the curve (AUC) of the final model including genetic (18 genes) and clinical variables was significantly greater than that of the model including clinical variables only (AUCfinal: 0.92, AUCclinical: 0.75, P<0.0001). Predicted accuracy increased by 17% with genetic markers (Accuracyfinal: 87%), indicating that six patients must be genotyped to avoid one misclassified patient. The validity of the final model was confirmed in a replication cohort. Patients predicted before treatment as having more than 5% WG after 1 month of treatment had 4.4% more WG over 1 year than patients predicted to have up to 5% WG (P≤0.0001). These results may help to implement genetic testing before starting psychotropic drug treatment to identify patients at risk of important WG

Do baby boomers feel healthier than earlier cohorts after retirement age? The Lausanne cohort Lc65+ study.

Despite the popular belief that baby boomers are ageing in better health than previous generations, limited scientific evidence is available since baby boomers have turned retirement age only recently. This study aimed to compare self-reported health status at ages 65-70 years among three cohorts of older people born before, during and at the end (baby boomers) of the Second World War. Repeated cross-sectional population-based study. Community in a region of French-speaking Switzerland. Community-dwelling older adults who enrolled in the Lausanne cohort 65+ study at ages 65-70 years in 2004 (n=1561), 2009 (n=1489) or 2014 (n=1678). Number of self-reported chronic conditions (from a list of 11) and chronic symptoms (from a list of 11); depressive symptoms; self-rated health (very good, good, average, poor or very poor); fear of disease (not afraid at all, barely afraid, a bit afraid, quite afraid or very afraid); self-perception of ageing; disability in basic and instrumental activities of daily living. There was no significant difference between cohorts in the number of self-reported chronic conditions and chronic symptoms as well as the presence of difficulty in basic activities of daily living, depressive symptoms, fear of disease and negative self-perception of ageing. In women only, significant differences between cohorts were observed in self-rated health (p=0.005) and disability in instrumental activities of daily living (p=0.003), but these associations did not remain significant in logistic regression models adjusted for sociodemographic characteristics and unhealthy behaviours. Despite important sociodemographic differences between older baby boomers and earlier cohorts, most health indicators did not suggest any trend towards a compression of morbidity. Future studies comparing these three cohorts at more advanced age are required to further investigate whether differences emerge later in life