scholarly journals Safe Habitats: Does the Association Between Neighborhood Crime and Walking Differ by Neighborhood Disadvantage?

2019 ◽  
Vol 53 (1) ◽  
pp. 3-39
Author(s):  
Sarah Foster ◽  
Paula Hooper ◽  
Nicola W. Burton ◽  
Wendy J. Brown ◽  
Billie Giles-Corti ◽  
...  
Keyword(s):  
Multilevel Models ◽  
Neighborhood Disadvantage ◽  
Objective Measures ◽  
Neighborhood Crime ◽  
Individual Level ◽  
Neighborhood Walkability ◽  
Disadvantaged Neighborhoods ◽  
The Individual

Interrelationships between neighborhood walkability, area disadvantage, and crime may contribute to the inconsistent associations between crime and walking. We examined associations between crime and walking, and tested for differences by neighborhood disadvantage while addressing these additional complexities. Participants ( n = 6,680) from 200 neighborhoods spanning the most and least disadvantaged in Brisbane, Australia, completed a questionnaire and objective measures were generated for the individual-level 1,000-m neighborhood. Multilevel models examined associations between crime (perceived and objective) and walking (recreational and transport), and interactions tested for differences by neighborhood disadvantage. High perceived crime was associated with reduced odds of transport walking, whereas high objective crime was associated with increased odds of transport walking. Patterns did not differ by neighborhood disadvantage. In disadvantaged neighborhoods, the “negative” criminogenic attributes were insufficient to outweigh the “positive” walkability attributes, producing similar walking patterns to advantaged neighborhoods where residents were dislocated from local destinations but buffered from crime.

scholarly journals 0360 Neighborhood Disadvantage is Associated with Lower Quality Sleep and More Variability in Weeknight Sleep Duration Among Urban Adolescents

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A137-A138
Author(s):  
N G Nahmod ◽  
L Master ◽  
H F McClintock ◽  
L Hale ◽  
O M Buxton
Keyword(s):  
Sleep Duration ◽  
Summer School ◽  
Multilevel Models ◽  
Census Data ◽  
National Level ◽  
Neighborhood Disadvantage ◽  
Disadvantaged Neighborhoods ◽  
Falling Asleep ◽  
Adolescent Sleep ◽  
Race Ethnicity

Abstract Introduction Differential social and contextual environments may contribute to adolescent sleep disparities. Yet, most prior studies are limited to self-reported sleep data, and the actigraphic studies of sleep are not conducted at a national level, thus limiting the variation in neighborhood contexts. This study examined the association between neighborhood disadvantage and actigraphic assessment of adolescent sleep. Methods Participants (682 adolescents, mean age 15.4 years) were racially/ethnically diverse (44% Black, 26% Hispanic, 17% White, 14% other race/ethnicity), sampled from 20 large US cities in the Fragile Families and Child Wellbeing Study. Neighborhood disadvantage was calculated from American Community Survey 2015 census data using the Standardized Neighborhood Deprivation Index (SNDI), consolidating five variables (proportion of female-headed households, public assistance recipients, households in poverty, adults without high school degrees, and unemployed) into an index. SNDI quartiles 1-3 fell below national averages of SNDI variables (“most disadvantaged”) and were compared to quartile 4 (“least disadvantaged”). Sleep indicators (duration, quality, and timing) were measured over ≥5 nights using wrist-worn accelerometers. Separate multilevel models estimated differences in sleep indicators, adjusting for weekday/weekend and summer/school year. General linear models used within-person standard deviations of sleep indicators (controlling for number of days) to test for associations between neighborhood disadvantage and consistency of weeknight sleep patterns. Models adjusted for individual-level sociodemographic covariates (age, sex, race/ethnicity, household income, caregiver education, and family structure). Results In fully adjusted models, adolescents living in more disadvantaged neighborhoods spent more time awake after falling asleep (4.0 minutes/night, p<0.05), spent greater percentage of nighttime sleep intervals awake (1%, p<.01), and had less consistent sleep duration (11.7% higher standard deviation, p<.05). Sleep duration and timing did not differ across neighborhood groups. Conclusion Living in more disadvantaged neighborhoods is associated with lower quality adolescent sleep; more research is needed to identify causal mechanisms. Support Research was supported by the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) of the National Institutes of Health (NIH), award numbers R01HD073352 (PI: Hale), R01HD36916, R01HD39135, and R01 HD40421, and private foundations. The content is the responsibility of the authors and does not represent official NIH views.

A Spatial Analysis of Male and Female Unemployment in the USA

2015 ◽  
pp. 1797-1809
Author(s):  
Edmund J. Zolnik
Keyword(s):  
Multilevel Models ◽  
Personal Characteristics ◽  
Policy Implications ◽  
Men And Women ◽  
Male And Female ◽  
Individual Level ◽  
Right To Work ◽  
The Usa ◽  
The Individual ◽  
The U.S

An analysis of male and female unemployment in the U.S. explores how gender affects spatial variation in unemployment. The effects of spatially-unlagged and spatially-lagged unemployment rates on the likelihood that individual men and women are unemployed are also explored. Using a recent tabulation of microdata from the American Community Survey, multilevel models of male and female unemployment are fit. Results indicate that age and occupation at the individual-level and a right-to-work dummy at the PUMA-level are the variables that best distinguish unemployed men and women. Results also indicate that unemployment for men is more clustered in space than unemployment for women. Finally, results indicate that the vast majority of the variation in unemployment for individuals in the U.S. is attributable to the personal characteristics of unemployed men and women, not the locational characteristics of high-unemployment places. The paper concludes with a discussion of the policy implications of the latter result.

Meta-Analysis of Single-Case Research via Multilevel Models: Fundamental Concepts and Methodological Considerations

2018 ◽  
Vol 44 (2) ◽  
pp. 265-295 ◽  
Author(s):  
Mariola Moeyaert ◽  
Rumen Manolov ◽  
Emily Rodabaugh
Keyword(s):  
Multilevel Models ◽  
Time Series Data ◽  
Single Case ◽  
Meta Analysis ◽  
Evidence Base ◽  
Series Data ◽  
Individual Level ◽  
Quantitative Results ◽  
The Individual ◽  
Methodological Considerations

Multilevel modeling is an approach that can be used to summarize single-case experimental design (SCED) data. Multilevel models were developed to analyze hierarchical structured data with units at a lower level nested within higher level units. SCEDs use time series data collected from multiple cases (or subjects) within a study that allow researchers to investigate intervention effectiveness at the individual level and also to investigate how these individual intervention effects change over time. There is an increased interest in the field regarding how SCEDs can be used to establish an evidence base for interventions by synthesizing data from a series of intervention studies. Although using multilevel models to meta-analyze SCED studies is promising, application is often hampered by being potentially excessively technical. First, this article provides an accessible description and overview of the potential of multilevel meta-analysis to combine SCED data. Second, a summary of the methodological evidence on the performance of multilevel models for meta-analysis is provided, which is useful given that such evidence is currently scattered over multiple technical articles in the literature. Third, the actual steps to perform a multilevel meta-analysis are outlined in a brief practical guide. Fourth, a suggestion for integrating the quantitative results with a visual representation is provided.

A Spatial Analysis of Male and Female Unemployment in the USA

2013 ◽  
Vol 4 (4) ◽  
pp. 76-87
Author(s):  
Edmund J. Zolnik
Keyword(s):  
Multilevel Models ◽  
Personal Characteristics ◽  
Policy Implications ◽  
Men And Women ◽  
Male And Female ◽  
Unemployment Rates ◽  
Individual Level ◽  
The Usa ◽  
The Individual ◽  
The U.S

An analysis of male and female unemployment in the U.S. explores how gender affects spatial variation in unemployment. The effects of spatially-unlagged and spatially-lagged unemployment rates on the likelihood that individual men and women are unemployed are also explored. Using a recent tabulation of microdata from the American Community Survey, multilevel models of male and female unemployment are fit. Results indicate that age and occupation at the individual-level and a right-to-work dummy at the PUMA-level are the variables that best distinguish unemployed men and women. Results also indicate that unemployment for men is more clustered in space than unemployment for women. Finally, results indicate that the vast majority of the variation in unemployment for individuals in the U.S. is attributable to the personal characteristics of unemployed men and women, not the locational characteristics of high-unemployment places. The paper concludes with a discussion of the policy implications of the latter result.

scholarly journals Moderate-to-Vigorous Physical Activity in Primary School Children: Inactive Lessons are Dominated Maths and English

2020 ◽  
Author(s):  
Andy Daly-Smith ◽  
Matthew Hobbs ◽  
Jade Morris ◽  
Margaret Anne Defeyter ◽  
Geir Kare Resaland ◽  
...  
Keyword(s):  
Physical Activity ◽  
Primary School ◽  
Primary Schools ◽  
Multilevel Models ◽  
Vigorous Physical Activity ◽  
Primary School Children ◽  
Individual Level ◽  
North East ◽  
School Day ◽  
The Individual

Background: A large majority of primary school pupils fail to achieve 30-minutes in-school moderate-to-vigorous physical activity (MVPA). The aim of this study was to investigate MVPA accumulation and subject frequency during academic lesson segments and the broader segmented school day. Methods: 122 children (42.6% boys; 9.9±0.3yrs) from six primary schools in North East England, wore uniaxial accelerometers for eight consecutive days. Subject frequency was assessed by teacher diaries. Multilevel models (children nested within schools) examined significant predictors of MVPA across each school-day segment (lesson one, break, lesson two, lunch, lesson three). Results: Pupils averaged 18.33±8.34 minutes of in-school MVPA and 90.2% failed to achieve the in-school 30-minute MVPA threshold. Across all school-day segments, MVPA accumulation was typically influenced at the individual level. Lesson one and two - dominated by Math and English - were less active than lesson three. Break and lunch were the most active segments. Conclusion: This study breaks new ground, revealing MVPA accumulation and subject frequency varies greatly during different academic lessons. Morning lessons were dominated by the inactive delivery of Math and English, whereas afternoon lessons involved a greater array of subject delivery that resulted in marginally higher levels of MVPA.

The Gender of Joiners

2017 ◽  
Vol 3 (4) ◽  
pp. 346-376
Author(s):  
Yvette Young ◽  
Claudia Geist
Keyword(s):  
Multilevel Models ◽  
Voluntary Associations ◽  
Gender Disparity ◽  
Development Spectrum ◽  
Macro Level ◽  
Middle Income ◽  
Individual Level ◽  
National Characteristics ◽  
Using Data ◽  
The Individual

Memberships in voluntary associations can provide access to valuable social resources. Generally focusing on high- and middle-income countries, research has demonstrated that to varying degrees in different societies, women have fewer memberships in voluntary associations than men. This study examines membership in voluntary associations globally and thereby the national characteristics that drive the gender disparity. The national characteristics we examine include development and inequality. We argue that two theories researchers have used to explain individual-level memberships—the resource perspective and homophily theory—also apply to contextual influences on joining associations. Using data from multiple waves of the World Values Survey, we employ multilevel models to analyze the relationship between national context and the individual vis-à-vis gender differences in memberships in voluntary associations. We find that macro-level resources such as the level of development, as well as macro-level heterogeneity in the form of economic inequality and indicators of gender inequality, significantly predict membership. However, macro-level heterogeneity explains gender gaps while macro-level resources do not. The findings of this study are applicable to countries spanning the full development spectrum and offer a new explanation of how social structures of inequality reproduce and create inequality at the individual level.

scholarly journals Risk factors for low birth weight in Rio Grande do Sul State, Brazil: classical and multilevel analysis

2012 ◽  
Vol 28 (12) ◽  
pp. 2293-2305 ◽  
Author(s):  
Anaelena Bragança de Moraes ◽  
Roselaine Ruviaro Zanini ◽  
João Riboldi ◽  
Elsa Regina Justo Giugliani
Keyword(s):  
Risk Factors ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Multilevel Models ◽  
Rio Grande ◽  
Rio Grande Do Sul ◽  
Individual Level ◽  
Live Births ◽  
Increased Risk ◽  
The Individual

The objective of this study was to identify risk factors for low birth weight in singleton live born infants in Rio Grande do Sul State, Brazil, in 2003, based on data from the Information System on Live Births. The study used both classical multivariate and multilevel logistic regression. Risk factors were evaluated at two levels: individual (live births) and contextual (micro-regions). At the individual level the two models showed a significant association between low birth weight and prematurity, number of prenatal visits, congenital anomalies, place of delivery, parity, sex, maternal age, maternal occupation, marital status, schooling, and type of delivery. In the multilevel models, the greater the urbanization of the micro-region, the higher the risk of low birth weight, while in less urbanized micro-regions, single mothers had an increased risk of low birth considering all live births. Low birth weight varied according to micro-region and was associated with individual and contextual characteristics. Although most of the variation in low birth weight occurred at the individual level, the multilevel model identified an important risk factor in the contextual level.

scholarly journals Parenting, culture, and the development of externalizing behaviors from age 7 to 14 in nine countries

2018 ◽  
Vol 30 (5) ◽  
pp. 1937-1958 ◽  
Author(s):  
Jennifer E. Lansford ◽  
Jennifer Godwin ◽  
Marc H. Bornstein ◽  
Lei Chang ◽  
Kirby Deater-Deckard ◽  
...  
Keyword(s):  
Externalizing Behavior ◽  
Multilevel Models ◽  
Externalizing Behaviors ◽  
The United States ◽  
The Philippines ◽  
Individual Level ◽  
Children And Parents ◽  
Child Externalizing Behaviors ◽  
The Individual ◽  
Child Externalizing

AbstractUsing multilevel models, we examined mother-, father-, and child-reported (N= 1,336 families) externalizing behavior problem trajectories from age 7 to 14 in nine countries (China, Colombia, Italy, Jordan, Kenya, the Philippines, Sweden, Thailand, and the United States). The intercept and slope of children's externalizing behavior trajectories varied both across individuals within culture and across cultures, and the variance was larger at the individual level than at the culture level. Mothers’ and children's endorsement of aggression as well as mothers’ authoritarian attitudes predicted higher age 8 intercepts of child externalizing behaviors. Furthermore, prediction from individual-level endorsement of aggression and authoritarian attitudes to more child externalizing behaviors was augmented by prediction from cultural-level endorsement of aggression and authoritarian attitudes, respectively. Cultures in which father-reported endorsement of aggression was higher and both mother- and father-reported authoritarian attitudes were higher also reported more child externalizing behavior problems at age 8. Among fathers, greater attributions regarding uncontrollable success in caregiving situations were associated with steeper declines in externalizing over time. Understanding cultural-level as well as individual-level correlates of children's externalizing behavior offers potential insights into prevention and intervention efforts that can be more effectively targeted at individual children and parents as well as targeted at changing cultural norms that increase the risk of children's and adolescents’ externalizing behavior.

scholarly journals The Role of Actual Democracy in the Link between National Identity and Support for Democracy

2021 ◽  
Vol 20 (4) ◽  
pp. 473-500
Author(s):  
Daniel Gabrielsson
Keyword(s):  
National Identity ◽  
Multilevel Models ◽  
Negative Relationship ◽  
Individual Level ◽  
Country Level ◽  
Support For Democracy ◽  
The Individual ◽  
High Level ◽  
National Membership

Abstract This article analyzes the interplay between national identity and democracy. Multilevel models were tested using European Value Survey (EVS 2017), which includes 30 countries in total. On the individual level, emphasis on non-voluntary features of national identity, where national membership depends on the accident of origin, relates to lower support for democracy. At the country level, the level of actual democracy was taken in to account (Varieties of Democracy 2017). In general, higher levels of actual democracy correlate with stronger support for the ideal democracy, yet, a high level of actual democracy amplifies the negative relationship between non-voluntary national identity and support for democracy.

Political Nationalism and Attitudes towards Immigration: The Interaction of Knowledge and Policy

2012 ◽  
Vol 19 (2) ◽  
pp. 115-127 ◽  
Author(s):  
Maria Elena Sandovici ◽  
Tor Georg Jakobsen ◽  
Zan Strabac
Keyword(s):  
Multilevel Models ◽  
Developed Countries ◽  
European Social Survey ◽  
Right Wing ◽  
Political Issue ◽  
Policy Positions ◽  
Individual Level ◽  
Human Rights Regime ◽  
The Government ◽  
The Individual

The issue of immigration is highly salient to citizens of industrialised democracies. Globalisation and the emergence of an international human rights regime, among other reasons, led to high levels of immigration to industrialised countries in recent decades. Immigrant-receiving states have shown only limited ability to control the size and composition of their immigrant population. Immigration has therefore emerged as a prominent political issue in practically all economically developed countries, and there are raising concerns over anti-immigration sentiments and nationalist tendencies that seem to be taking hold among modern publics. We argue that anti-immigration attitudes are not merely a response to increased immigration, but rather that these attitudes mirror governments’ nationalistic and anti-immigration stance. In addition, people who are interested in politics are expected to be more influenced by their governments’ policies than those who show less interest. We use data from the European Social Survey and the Comparative Manifesto Project to test these claims. Results from our multilevel models show that people living in countries where the government is right wing are more opposed to immigration than people living in countries where the government exhibits less right-wing tendencies. The effect of government policy positions is also found to be conditioned by political interest at the individual level.

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