scholarly journals Sociocultural, economic and ethnic homogeneity in residential mobility and spatial sorting among couples

2019 ◽  
Vol 51 (4) ◽  
pp. 891-912 ◽  
Author(s):  
Wouter van Gent ◽  
Marjolijn Das ◽  
Sako Musterd
Keyword(s):  
Large Scale ◽  
Economic Status ◽  
Three Dimensions ◽  
Household Level ◽  
Large N ◽  
Spatial Sorting ◽  
Neighbourhood Level ◽  
Mobility Behaviour ◽  
Sociocultural Characteristics ◽  
Distribution Of Income

This study aims to advance the spatial conceptualization of ‘social homophily’ by relating the match, or mismatch, between a household’s social and sociocultural characteristics and the characteristics of the neighbourhood of residence to the probability of moving away from that neighbourhood. Three matching dimensions were investigated: economic status, ethnic background and sociocultural disposition. This paper’s focus is on the sociocultural dimension because this has not been included extensively in large-scale research so far. Initially we investigate how level of education at the household level interacts with education composition at the neighbourhood level. To further investigate the sociocultural dimension, we then include the share of each partner’s income in the total household income in our analyses. Based on the spatial literature at the intersections of class, gender and family, we assume that, together with higher education, the intra-household distribution of income reflects a broader set of sociocultural values. We make use of large- N register data to analyse the residential and mobility behaviour of all registered stable couples in the four largest Dutch urban regions between 2008 and 2009. Our analyses indicate that the degree to which a household ‘matches’ its social surroundings negatively affects its probability of leaving. This is the case for all three dimensions, with sociocultural disposition having the largest effect. The conclusion reflects on the importance of these findings for social homophily, sorting and residential segregation, and proposes directions for further research.

scholarly journals Leadership in Acts through a social capital lens

2009 ◽  
Vol 30 (2) ◽  
Author(s):  
Ian A. Nell
Keyword(s):  
Social Capital ◽  
South African ◽  
Economic Status ◽  
Missional Church ◽  
Three Dimensions ◽  
Socio Economic Status ◽  
Norms And Values ◽  
African Context ◽  
Third Dimension ◽  
Distribution Of Income

Social capital can be defined in various ways. In most of these definitions at least three dimensions can be distinguished. First there is �bonding� (the horizontal relationships between people operating within different social networks and with specific norms and values). The second dimension is �bridging� (bonds that transcend differences in religion, ethnicity, culture and socio-economic status). This dimension prevents horizontal ties from becoming the basis for narrow and even sectarian interests. Normally, a third dimension called �linking� also forms part of social capital, and ideological aspects come into focus here. This dimension includes aspects such as justice, political power and the equitable distribution of income and property. When leadership in Acts is analysed through the lenses of these multi-focal spectacles, interesting perspectives are discovered that can enrich theories on leadership. These discoveries can also open up new perspectives on aspects of being a missional church in our South African context from within the context of Acts.�

scholarly journals Widening socio-economic disparities in early childhood obesity in Los Angeles County after the Great Recession

2018 ◽  
Vol 21 (12) ◽  
pp. 2301-2310 ◽  
Author(s):  
Tabashir Z Nobari ◽  
Shannon E Whaley ◽  
Catherine M Crespi ◽  
Michael L Prelip ◽  
May C Wang
Keyword(s):  
Los Angeles ◽  
Low Income ◽  
Household Income ◽  
Economic Status ◽  
Obesity Prevalence ◽  
Economic Disparities ◽  
Household Level ◽  
Socio Economic Status ◽  
Low Income Children ◽  
Neighbourhood Level

AbstractObjectiveWhile economic crises can increase socio-economic disparities in health, little is known about the impact of the 2008–09 Great Recession on obesity prevalence among children, especially low-income children. The present study examined whether socio-economic disparities in obesity among children of pre-school age participating in a federal nutrition assistance programme have changed since the recession.DesignA pre–post observational study using administrative data of pre-school-aged programme participants from 2003 to 2014. Logistic regression was used to examine whether the relationship between obesity prevalence (BMI≥95th percentile of the Centers for Disease Control and Prevention’s growth charts) and three measures of socio-economic status (household income, household educational attainment, neighbourhood-level median household income) changed after the recession by examining the interaction between each socio-economic status measure and a 5-year time-period variable (2003–07 v. 2010–14), stratified by child’s age and adjusted for child’s sociodemographic characteristics.SettingLos Angeles County, California, USA.SubjectsChildren aged 2–4 years (n 1 637 788) participating in the Special Supplemental Nutrition Program for Women, Infants, and Children.ResultsThe magnitude of the association of household income and household education with obesity increased after 2008–09 among 3- and 4-year-olds and 2- and 3-year-olds, respectively. However, the magnitude of the association of neighbourhood-level median household income with obesity did not change after 2008–09.ConclusionsDisparities in obesity by household-level socio-economic status widened after the recession, while disparities by neighbourhood-level socio-economic status remained the same. The widening household-level socio-economic disparities suggest that obesity prevention efforts should target the most vulnerable low-income children.

Determinants of Aggregate Fertility in Pakistan

1986 ◽  
Vol 25 (4) ◽  
pp. 553-570
Author(s):  
Ghulam Yasin Soomro
Keyword(s):  
Developing Countries ◽  
Economic Status ◽  
Development Planning ◽  
Natural Increase ◽  
High Fertility ◽  
Household Level ◽  
Fertility Behaviour ◽  
Human Fertility ◽  
Control Programmes ◽  
The Difference

Experiencing high fertility and declining mortality levels, the developing countries are today faced with the problem of relatively high rates of natural increase in their populations. This pace of growth in population, influenced by high fertility levels, impedes the overall development planning. As pointed out in a document prepared by the Planning Commission of Pakistan, 'A vicious circle is set in motion in which high fertility and socio-economic stagnation breed upon each other' [5]. In the developing countries, development programmes including birth control programmes are in operation. The sustained high fertility levels, therefore, call for more insights into the mechanisms operating in the society and influencing fertility. Studies of fertility behaviour are conducted at both micro and macro levels. The difference between micro and macro is a matter of emphasis rather than one of kind, and both approaches are concerned with each level of social aggregation. Macrolevel studies describe the level and pattern of change resulting from the ongoing socio-econornic development in the society as a whole and do not explain variations in fertility at the household level [12]. However, development programmes, which are implemented at aggregate levels defined by geographical boundaries, influence the population in terms of socio-economic status and fertility behaviour. There are many factors which affect human fertility individually or collectively. Attempts have been made to identify these factors, and conceptual frameworks have been developed to explain the causal hypotheses. In this context mention may be made of the demographic transition theory, which is often applied to study fertility behaviour.

New Models of Content Creation and Scholarship at the Intersection of Library Spaces, Technologies, and Expertise

2018 ◽  
Author(s):  
Mike Nutt ◽  
Gregory Raschke
Keyword(s):  
Large Scale ◽  
Interactive Media ◽  
Scholarly Communication ◽  
Three Dimensions ◽  
Organizational Capabilities ◽  
High Definition ◽  
Content Creation ◽  
Full Life Cycle ◽  
Digital Scholarship ◽  
Digital Objects

Library spaces that blend collaboration areas, advanced technologies, and librarian expertise are creating new modes of scholarly communication. These spaces enable scholarship created within high-definition, large-scale visual collaborative environments. This emergent model of scholarly communication can be experienced within those specific contexts or through digital surrogates on the networked Web. From experiencing in three dimensions the sermons of John Donne in 1622 to interactive media interpretations of American wars, scholars are partnering with libraries to create immersive digital scholarship. Viewing the library as a research platform for these emergent forms of digital scholarship presents several opportunities and challenges. Opportunities include re-engaging faculty in the use of library space, integrating the full life-cycle of the research enterprise, and engaging broad communities in the changing nature of digitally-driven scholarship. Issues such as identifying and filtering collaborations, strategically managing staff resources, creating surrogates of immersive digital scholarship, and preserving this content for the future present an array of challenges for libraries that require coordination across organizations. From engaging and using high-technology spaces to documenting the data and digital objects created, this developing scholarly communication medium brings to bear the multifaceted skills and organizational capabilities of libraries.

scholarly journals Revealing the Challenges of Smart Rainwater Harvesting for Integrated and Digital Resilience of Urban Water Infrastructure

Water ◽  
2021 ◽  
Vol 13 (14) ◽  
pp. 1902
Author(s):  
Martin Oberascher ◽  
Aun Dastgir ◽  
Jiada Li ◽  
Sina Hesarkazzazi ◽  
Mohsen Hajibabaei ◽  
...  
Keyword(s):  
Large Scale ◽  
Rainwater Harvesting ◽  
Data Communication ◽  
Integrated System ◽  
Coupled Systems ◽  
Urban Resilience ◽  
System Failures ◽  
Household Level ◽  
Performance Improvements ◽  
Smart Water

Smart rainwater harvesting (RWH) systems can automatically release stormwater prior to rainfall events to increase detention capacity on a household level. However, impacts and benefits of a widespread implementation of these systems are often unknown. This works aims to investigate the effect of a large-scale implementation of smart RWH systems on urban resilience by hypothetically retrofitting an Alpine municipality with smart rain barrels. Smart RWH systems represent dynamic systems, and therefore, the interaction between the coupled systems RWH units, an urban drainage network (UDN) and digital infrastructure is critical for evaluating resilience against system failures. In particular, digital parameters (e.g., accuracy of weather forecasts, or reliability of data communication) can differ from an ideal performance. Therefore, different digital parameters are varied to determine the range of uncertainties associated with smart RWH systems. As the results demonstrate, smart RWH systems can further increase integrated system resilience but require a coordinated integration into the overall system. Additionally, sufficient consideration of digital uncertainties is of great importance for smart water systems, as uncertainties can reduce/eliminate gained performance improvements. Moreover, a long-term simulation should be applied to investigate resilience with digital applications to reduce dependence on boundary conditions and rainfall patterns.

scholarly journals COVID-19 As an Opportunity for a Healthy-Sustainable Food Transition. An Analysis of Dietary Transformations during the First Italian Lockdown

2021 ◽  
Vol 13 (10) ◽  
pp. 5661
Author(s):  
Raffaele Matacena ◽  
Mariangela Zenga ◽  
Marco D’Addario ◽  
Silvia Mari ◽  
Massimo Labra
Keyword(s):  
Environmental Sustainability ◽  
Economic Status ◽  
Generational Cohort ◽  
Current Crisis ◽  
Convenience Sample ◽  
Sustainable Food ◽  
Household Level ◽  
Daily Food ◽  
Production And Consumption ◽  
The Impact

The COVID-19 emergency and the consequent social distancing requirements have caused major disruptions in daily food-related practices at the household level. In this paper, we evaluate the transformations that occurred in the daily nutritional choices and behaviors of a convenience sample (n = 2288) of Italian residents during the first nation-wide lockdown (March–May 2020) to assess the impact on the health and socio-environmental sustainability of their diets. Results portray a scenario of wide-spread change, especially in relation to the quantity of daily food consumed, the composition of diets and the time and commitment devoted to home-cooking, with young individuals emerging as the most impacted generational cohort. Through the construction of an indicator for healthy–sustainable transition (HST index), we demonstrate that such changes unfold on a gradient, revealing that while for many respondents lockdown nutrition implied overeating and weight gain, a substantial segment of the population conversely improved the healthiness and sustainability of their daily nutritional patterns. In this sense, improvements are associated with young age, socio-economic status, frequency and enjoyment of cooking-from-scratch and, more generally, an attentive attitude towards the quality, provenance and materiality of food that, in turn, the COVID-19 crisis appears to have re-kindled. We conclude by highlighting five areas of institutional intervention (i.e., young people, time, tools, food supply at work, and local food chains) on which to focus in order to ensure the current crisis does not represent a missed opportunity for creating the necessary conditions for sustainable food production and consumption to take hold as the ‘new’ normal in the post-pandemic era.

Electric Toothbrushes–For Whom are They Designed?

2002 ◽  
Vol 16 (1) ◽  
pp. 6-8 ◽  
Author(s):  
Sebastian Ciancio
Keyword(s):  
Clinical Studies ◽  
Large Scale ◽  
Economic Status ◽  
New Technology ◽  
Ease Of Use ◽  
Special Populations ◽  
Gingival Health

Powered toothbrushes were first introduced on a large scale in the early 1960s. However, because of a clear lack of superiority compared with manual brushes, and problems with mechanical breakdowns, their sales decreased significantly. However, recommendation for their use continued in special populations with dexterity and cognition problems. The 1990s ushered in an era of new technology, and studies began to suggest superiority of some powered brushes, particularly those using oscillating-rotating or counter-rotational actions. Some studies have shown interproximal cleansing abilities superior to those of manual brushes and yielding results similar to those achieved with the use of a manual brush and floss. Both controlled and open-labeled studies have suggested that electric brushes improve gingival health with patients who routinely used manual brushes prior to using these new powered brushes, and safety has been clearly established. In recommending powered toothbrushes, practitioners should familiarize themselves with the products available, with the clinical studies supporting their benefits compared with manual brushes, their safety and ease of use, and the patient's economic status.

Synthetic reflection seismograms in three dimensions by a locked‐mode approximation

Geophysics ◽  
1989 ◽  
Vol 54 (3) ◽  
pp. 350-358 ◽  
Author(s):  
G. Nolet ◽  
R. Sleeman ◽  
V. Nijhof ◽  
B. L. N. Kennett
Keyword(s):  
Finite Difference ◽  
Born Approximation ◽  
Large Scale ◽  
Layered Medium ◽  
Three Dimensional ◽  
Simple Algorithm ◽  
Realistic Model ◽  
Three Dimensions ◽  
Acoustic Response ◽  
Many Sources

We present a simple algorithm for computing the acoustic response of a layered structure containing three‐dimensional (3-D) irregularities, using a locked‐mode approach and the Born approximation. The effects of anelasticity are incorporated by use of Rayleigh’s principle. The method is particularly attractive at somewhat larger offsets, but computations for near‐source offsets are stable as well, due to the introduction of anelastic damping. Calculations can be done on small minicomputers. The algorithm developed in this paper can be used to calculate the response of complicated models in three dimensions. It is more efficient than any other method whenever many sources are involved. The results are useful for modeling, as well as for generating test signals for data processing with realistic, model‐induced “noise.” Also, this approach provides an alternative to 2-D finite‐difference calculations that is efficient enough for application to large‐scale inverse problems. The method is illustrated by application to a simple 3-D structure in a layered medium.

scholarly journals Linking child travel routes and routine health data

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Amy Mizen ◽  
Sarah Rodgers ◽  
Richard Fry ◽  
Ronan Lyons
Keyword(s):  
Large Scale ◽  
Data Linkage ◽  
Routine Data ◽  
Environmental Exposures ◽  
Health Data ◽  
Walking Distance ◽  
Complete Analysis ◽  
Natural Experiments ◽  
Older Children ◽  
Household Level

ABSTRACTObjectivesLinking routinely collected health and environment data can allow for large scale evaluations of how our environment impacts our health. Our data linkage approach advances previous research where residence-based environmental exposures were anonymously linked in the SAIL databank using Residential Anonymous Linking Fields (RALFs). The dose-response relationship between exposure to food and dietary intake has not been widely investigated. Previous research found conflicting views on whether increased environmental exposure to unhealthy food contributes to higher BMIs. This may have been due to different methodological approaches, including imprecise exposures, small numbers, and the use of self-reported BMIs. ApproachThis investigation calculated food exposure environments for routes from all homes to and from school. A Geographic Information System was used to calculate the environmental exposures along all potential routes up to a maximum age-appropriate walking distance from each school. Once within the SAIL databank we selected relevant routes using linked demographic and pupil datasets. To maintain privacy, the primary (doctoral) researcher generating the environmental exposures, did not have access to the final household-level exposure data in their identifiable form. The researcher automated their method so a second researcher could run the GIS analysis. Accuracy of modelled exposures will be compared with actual routes collected from GPS traces of children walking to school. ResultsRemoving access to the final identifiable household-level route exposures enabled the primary researcher to complete analysis on the combined household and individual-level data within the secure environment. The environmental exposures were linked with routine health data from the SAIL databank; including BMI as an indicator of obesity. BMI data for 4-5 year olds, and a sample of 1300 13-14 year olds were linked to associated environmental exposures. ConclusionDepending on modelled accuracy, a GIS and data linkage approach may allow the investigation of natural experiments and intervention evaluation at the scale of the total population. This is the first step towards anonymously modelling part of the daily exposure environment using routine data. A limitation is the lack of routinely collected BMI data for older children and teenagers an age when they are more likely to have the option to choose to buy food on the school route. This work will have many potential applications, including the delivery and evaluation of multiple school and workplace commuting interventions.

scholarly journals Analysis and Study of the Socio Economic and Nutritional Status of Farmers Selected Under DST- SARTHI Project of District Hoshiarpur, Punjab

2021 ◽  
pp. 399-407
Author(s):  
R. K. Dubey ◽  
Rajveer Kaur ◽  
Ravi Deepika ◽  
T. S. Dhillon
Keyword(s):  
Socioeconomic Status ◽  
Nutritional Status ◽  
Economic Status ◽  
New Delhi ◽  
Vegetable Production ◽  
Intervention Period ◽  
Household Level ◽  
Socio Economic Status ◽  
Nutrition Intake ◽  
The Difference

The present study was carried out in the department of Floriculture and Landscaping, Punjab Agricultural University, Ludhiana under DST- SARTHI project, New Delhi to analyse the socio economic and nutritional status of beneficiaries selected under the project. Moreover, nutritional status of farmers recorded to also assess the association between FVS, DDS and socioeconomic status at household level. The Data on vegetable production, selling, buying and socio-economic status were collected using questionnaire developed by PAU Ludhiana. A total 100 beneficiaries from three landholding categories viz small (<5 acre), medium (5-10 acre) and large (>10 acres) in Hoshiarpur were selected. The data have been collected to check the difference in the nutrition intake of beneficiaries during the interventional period and before the intervention. Correlation of both years (before and during intervention) calculated as 0.892243. It is concluded that the previous year diet was not healthier integration of both quality and quantity in the scores but both scores (DDS& FVS) increased during intervention period through DST Project.

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