Functional analysis of high-content high-throughput imaging data

High-content automated imaging platforms allow the multiplexing of several targets simultaneously to generate multi-parametric single-cell data sets over extended periods of time. Typically, standard simple measures such as mean value of all cells at every time point are calculated to summarize the temporal process, resulting in loss of time dynamics of the single cells. Multiple experiments are performed but observation time points are not necessarily identical, leading to difficulties when integrating summary measures from different experiments. We used functional data analysis to analyze continuous curve data, where the temporal process of a response variable for each single cell can be described using a smooth curve. This allows analyses to be performed on continuous functions, rather than on original discrete data points. Functional regression models were applied to determine common temporal characteristics of a set of single cell curves and random effects were employed in the models to explain variation between experiments. The aim of the multiplexing approach is to simultaneously analyze the effect of a large number of compounds in comparison to control to discriminate between their mode of action. Functional principal component analysis based on T-statistic curves for pairwise comparison to control was used to study time-dependent compound effects.     

The effects of under‐skilling on need for recovery,losing employment and retirement intentions among older office workers: A prospective cohort study

Based on a sample of older workers from the Maastricht Cohort Study, the authors investigate the prevalence and dynamics of self‐reported under‐skilling and its effects on workers' need for recovery, their risk of losing employment and their retirement intentions over a two‐year period. They find that being under‐skilled is associated both with higher levels of need for recovery over time and with the risk of losing employment, but not with early retirement intentions. To achieve sustainable employment, they argue, the course of under‐skilling should be monitored throughout workers' careers, enabling timely interventions to avoid its negative consequences.     

Descriptive Analysis of Foster Care Adoptions in New South Wales,Australia

This paper describes the population of children in care in New South Wales, Australia, who were adopted by their foster families (N?=?372) from 2003 to 2014. Data pertaining to 370 of these adoptees were available and obtained from administrative records accompanying adoption applications. Most of these children had been placed with their subsequent adoptive family during infancy. However, adoption orders occurred much later in their lives. According to the available information at the time of adoption, these children did not suffer the high levels of mental health problems typically identified in populations of children in foster care. Though the data do not include follow-up to determine if the contact agreed upon at the time of adoption orders translated into practice, the most frequently postadoption arrangement recorded was face-to-face contact, four times a year with mother and siblings. The high levels of openness and face-to-face contact in Australian adoptions from care are a significant point of difference with other adoption models, and presents a need for research in the area.

IMPLICATIONS

• Following the change of legislation in New South Wales, Australia, that prioritises open adoption over foster care, social workers in the field of child protection are well placed to assist in this process.

• Social workers can assess children entering care to identify those who will benefit from adoption in a timely manner; undertake casework and administrative aspects of the adoption process; work closely with the child, and birth and adoptive families by delivering pre- and post-adoption supports; and conduct longitudinal research on the outcomes for children adopted from care.

     

Longitudinal Factor Analysis of Public Expenditure Composition and Human Development in Brazil After the 1988 Constitution

The way public policies are managed in Brazil has changed since the 1988 Federal Constitution. This study aimed to identify how changes in the structure of public expenditure composition at Brazilian federal states influenced local human development in these states. The states’ public expenditures were categorized according to their nature as spending indices whereas human development was measured through a human development index (HD). To verify the relationships between these variables, an accounting-social theoretical model was created and estimated through latent growth modeling (LGM). The LGM measurement period comprised five administration cycles of the Brazilian states (1988–2011). Variables were measured on data of the second year of state government term; their mean initial values and growth rates were recorded. Results show that, influenced by policies of centralized regulation promoted by the federal government, only the social spending growth rates had statistically significant effect on the human development growth rate, although not considered of great magnitude. Among mean initial values, the most significant was that of minimum spending (SIm), which denotes the direct impact of the Fiscal Accountability Law [Lei de Responsabilidade Fiscal, in Portuguese] on human development improvements. The mean initial value of economic spending also showed a positive and significant effect on HD growth rate.     

Total testosterone levels are correlated to metabolic syndrome components

Introduction: Metabolic syndrome (MetS) is a constellation of interrelated risk factors of metabolic origin. Some studies suggest a possible link between low total testosterone (TT) levels and the presence of MetS.

Aim: To analyze the strength and independence of associations between TT and MetS components in non-diabetic men.

Methods: In this cross-sectional study, 143 non-diabetic men older than 40 were analyzed.

Main outcomes measure: Blood samples were collected to evaluate metabolic profile and TT levels. MetS was defined as the presence of three or more of the following characteristics: fasting blood glucose levels?≥?100?mg/dL, triglyceride?≥?150?mg/dL, HDL-c??102?cm.

Results: Mean age of the study population was 61.5?±?8.61 years old. MetS was present in 47.9% of the individuals. Thirty-four men had low TT and MetS was observed in 23 (70%) against 50 (46%) in those with normal TT (≥?300?ng/dL) (OR 4.94, p?p?=?0.03) and HDL-c (Beta: 0.19; p?=?0.04) remained significantly correlated with TT levels.

Conclusions: Low TT levels were associated with MetS diagnosis. Abdominal obesity was the MetS component independently correlated to low TT levels.     

Host National Identification of Immigrants in the Netherlands

This study examines immigrants' identification with the host country. We use survey data of more than 1,700 Turkish and Moroccan immigrants and more than 2,200 natives in the Netherlands. We answer four main questions in this study. First, do immigrants have lower national identification than natives? Second, does the level of national identification differ between immigrant groups? Third, do economic and social integration similarly affect national identification among immigrants and natives? And fourth, what are important additional determinants of national identification among immigrants? The results show that, compared to Dutch natives, Turkish but not Moroccan immigrants have lower national identification. Being employed and socially integrated is associated with higher national identification among immigrants as well as natives, but only among immigrants is higher occupational status associated with higher national identification. For immigrants, Dutch language proficiency, perceived discrimination, and contact with natives proved to be important conditions for national identification.     

Psychosocial Factors of Migration: Adaptation and Application of the Health Belief Model

Psychosocial factors influencing behaviour play a central role in health research but seem under‐explored in migration research. This is unfortunate because these factors, which include knowledge, attitudes, beliefs, intentions and personality traits, provide essential and potentially effective handles for linking migration and migrant‐integration policies. We demonstrate that the health belief model (HBM) conceptualization of behavioural intentions contributes constructs that can further our understanding of migration intentions, thereby broadening the foundations for migration policies. We adapt the HBM to migration behaviour and then test it empirically by using survey data on international migration from West Africa and the Mediterranean region to the European Union. The results confirm that indicators of “perceived threat to living conditions”, “perceived benefits” and “perceived barriers to migration”, “cues to action” and “self‐efficacy” contribute considerably to the explanation of migration intentions. We conclude that psychosocial factors deserve greater prominence in migration theories and empirical research, and we recommend that migration surveys consider this framework to identify relevant indicators of psychosocial factors of international migration and develop appropriate survey questions to measure them.     

Intersectional Identities and Conceptions of the Self: The Experience of Transgender People

Transgender people in the United States change genders in relation to androcentric, heterocentric, and middle‐class whitenormative cultural narratives. Drawing on ethnographic data primarily with transgender people of color, I analyze the ways in which gender, race, social class, and sexuality all combine to create specific background identities – intersected identity frames – which others attribute in interaction. We can better understand these intersected identity frames through the experiences of transgender people, who actively engage in identity management. The meanings others attach to specific combinations are foregrounded in the context of transitioning; some audiences employ dominant, white cultural narratives, while others draw upon ethnic cultural narratives. In all cases, transitioning throws the multi‐dimensionality of intersected identity frames into sharp relief against the background of intersecting social and cultural structural arrangements.     

Who Is Supporting Homeless Youth? Predictors of Support in Personal Networks

Homeless youth lack the traditional support networks of their housed peers, which increases their risk for poor health outcomes. Using a multilevel dyadic analytic approach, this study identified characteristics of social contacts, relationships, and social networks associated with the provision of tangible and emotional support to homeless youth (N = 419, M age = 20.09, SD = 2.80). Support providers were likely to be family members, sex partners, or non–street‐based contacts. The provision of support was also associated with contacts' employment and homelessness status, frequency of contact, shared risk behaviors, and the number of network members that were homeless and employed. The results provide insights into how homeless youth could be assisted to develop more supportive social networks.