Multilevel Regression Techniques Research Articles

Are there differences in birth weight between neighbourhoods in a Nordic welfare state?

BackgroundThe objective of this cohort study was to examine the effect on birth weight of living in a disadvantaged neighbourhood in a Nordic welfare state. Birth weight is a health indicator known to be sensitive to political and welfare state conditions. No former studies on urban neighbourhood differences regarding mean birth weight have been carried out in a Nordic country.MethodsA register based on individual data on children's birth weight and maternal risk factors was used. A neighbourhood characteristic, i.e. an aggregated measure on income was also included. Connections between individual- and neighbourhood-level determinants and the outcome were analysed using multi-level regression technique. The study covered six hundred and ninety-six neighbourhoods in the three major cities of Sweden, Stockholm, Göteborg and Malmö, during 1992–2001. The majority of neighbourhoods had a population of 4 000–10 000 inhabitants. An average of 500 births per neighbourhood were analysed in this study.ResultsDifferences in mean birth weight in Swedish urban neighbourhoods were minor. However, gestational length, parity and maternal smoking acted as modifiers of the neighbourhood effects. Most of the observed variation in mean birth weight was explained by individual risk factors.ConclusionWelfare institutions and benefits in Sweden might buffer against negative infant outcomes due to adverse structural organisation of urban neighbourhoods.

Calf-level risk factors for neonatal diarrhea and shedding of Cryptosporidium parvum in Ontario dairy calves

This work was conducted to investigate calf-level factors that influence the risk of neonatal diarrhea and shedding of Cryptosporidium parvum oocysts in calves, on dairy farms in Ontario with histories of calf diarrhea or cryptosporidiosis. Fecal samples were collected weekly for 4 weeks from each of 1045 calves under 30 days of age on 11 dairy farms in south-western Ontario during the summer of 2003 and the winter of 2004. A questionnaire designed to gather information on calf-level management factors was administered on farm for each calf in the study. Samples were examined for C. parvum oocysts by microscopy, and a subset of specimens was also tested for enterotoxigenic Escherichia coli, Salmonella, bovine rotavirus and bovine coronavirus. The consistency of each sample was scored and recorded at the time of collection in order to assess the presence or absence of diarrhea. In addition, a blood sample was taken from each calf upon enrolment in the study, for assessment of maternal antibody transfer and for polymerase chain reaction testing for persistent bovine viral diarrhea virus infection. Using the GLLAMM function in Stata 9.0, multilevel regression techniques were employed to investigate associations between management practices and the risk of C. parvum shedding or diarrhea. C. parvum oocysts were detected in the feces of 78% of the 919 calves from which all four fecal samples had been collected. Furthermore, 73% of the 846 calves for which all four fecal consistency scores had been recorded were diarrheic at the time of collection of at least one sample. Significant predictors of the calf-level risk of C. parvum shedding included the use of calf diarrhea prophylaxis in pregnant cows, and the type of maternity facilities in which the calves were born. Factors associated with an increased risk of diarrhea were leaving the calf with the dam for more than an hour after birth, and the birth of a calf in the summer as opposed to winter. Calves shedding C. parvum oocysts had 5.3 (95% CI 4.4, 6.4) times the odds of diarrhea than non-shedding calves, controlling for other factors included in the final multivariable model. Furthermore, infected calves shedding more than 2.2 × 10 5 oocysts per gram of feces were more likely to scour than infected calves shedding lower numbers of oocysts (OR = 6.1, 95% CI 4.8, 7.8). The odds of diarrhea in calves shedding oocysts that had been allowed to remain with their dams for more than an hour were higher than the odds of diarrhea in shedding calves that had been separated from their dams within an hour after birth.

Class and Political Preferences in Europe: A Multilevel Analysis of Trends Over Time

This article analyzes trends over time in the relationship between social class and political preferences in EU countries. Multilevel models and logistic regression techniques are employed to examine Eurobarometer data for thirteen nations between 1976 and 2003. In the comparative research addressing the issue of long-term changes in class politics, class voting is the most common indicator. Instead of focussing on electoral behaviour, we analyze data on respondent's self-placement on a left-right scale. We argue that this indicator presents some relevant advantages when large-scale comparisons across time and space are involved. Our results point to a prevailing stability over time of the association between class position and political preferences.

Evidence that brain tissue volumes are associated with HVA reactivity to metabolic stress in schizophrenia

Background Although liability to psychosis is thought to have its origins in cerebral alterations, expressed as cerebral grey and white matter loss, less is known about the degree to which such vulnerabilities impact on functional parameters, in particular altered stress reactivity. Breier et al. [Breier, A., Davis, O.R., Buchanan, R.W., Moricle, L.A., Munson, R.C., 1993b. Effects of metabolic perturbation on plasma homovanillic acid in schizophrenia. Relationship to prefrontal cortex volume. Arch. Gen. Psychiatry 50(7), 541–550] reported that lower prefrontal cortex volume was associated with altered metabolic stress response, but this finding has never been replicated. Methods Thirty-one patients with psychosis underwent structural magnetic resonance imaging scanning and a metabolic stress paradigm (glucoprivic 2-deoxyglucose (2DG) condition versus placebo condition) that yielded information on plasma homovanillic acid (HVA) reactivity. Total cerebral tissue volumes were derived from automated segmentation procedures. Associations between metabolic stress and tissue volumes (as well as their interactions) on the one hand, and plasma HVA level on the other, were investigated using multilevel random regression techniques. Results Analysis revealed a significant increase in plasma HVA over time in the 2DG condition. The increase in HVA in the stress condition was stronger in patients with lower grey and white matter volumes. There was no significant interaction between metabolic stress and CSF volume. Conclusion Lower grey and white matter volumes in schizophrenia are associated with a dysregulated dopaminergic/noradrenergic mediated stress response. These findings may support the hypothesis that alterations in cortico-subcortical connections affect psychosis susceptibility through an altered stress response.

Identifying Teacher, School and District Characteristics Associated with Elementary Teachers' Use of Technology:A Multilevel Perspective

Over the past decade, investment in technology for schools has increased at a dramatic rate. Although policy makers are eager to understand the ways in which technology use in schools is affecting student learning, we believe that a critical preliminary step toward assessing the impacts of technology on teaching and learning requires the examination of the varied uses of technology in schools as well as the contexts that are likely to affect the use of technology in the classroom as a teaching and learning tool. Previous research examining technology use has focused on teacher characteristics and has neglected to explore the potentially alterable, organizational characteristics that may be affecting the adoption and use of technology in the classroom. In light of this argument and using survey data collected from 1490 elementary classroom teachers in 96 schools in 22 Massachusetts districts, this research examines how technology is being used by elementary school teachers, and examines the school and district organizational characteristics that are associated with increased use of technology as a teaching and learning tool. In addition to examining technology-use as a multi-faceted construct, using multilevel regression techniques this study provides evidence that schools’ organizational characteristics are associated with teachers’ use of technology in the classroom. Organizational characteristics such as districts’ and schools’ leadership practices and emphasis on technology, the type and amount of technology-related professional development available to teachers, as well as the amount of technology-related restrictive policies in place were found to be associated with the four measures of teachers’ use of technology examined in this study. Individual teacher characteristics such as constructivist beliefs, higher confidence using technology and positive beliefs about the efficacy of technology were each found to be associated with increased use of technology in the classroom.

The Role of Family Policy Institutions in Explaining Gender-Role Attitudes: A Comparative Multilevel Analysis of Thirteen Industrialized Countries

This article examines the role of institutionalized family policy in structuring attitudes towards female labour force participation in 13 industrialized countries. Two different perspectives on explaining the role of family policy institutions are distinguished. According to the first perspective, gender-role attitudes will differ cross-nationally according to the capacity of family policy institutions to reconcile work in the home with work in the paid labour force. According to the second perspective, institutions such as family policies can give rise to a certain collection of norms regarding the ‘proper’ role of women in society. Cross-national variation in family policies will, according to this perspective, have important implications for gender-role attitudes primarily because it will affect what is seen as normatively appropriate behaviour, rather then affecting the returns expected from alternative choices. The empirical analysis, using multilevel regression techniques on data from the International Social Survey Programme (ISSP), indicates that variations in family policy models can contribute significantly to our understanding of cross-national variations in gender-role attitudes. It is also shown that the way gender-role attitudes are measured and conceptualized can have important implications for how cross-national differences in these attitudes are explained.

Public Attitudes toward Welfare State Policies: A Comparative Analysis of 24 Nations

Morten Blekesaune Norwegian Social Research – NOVA, Oslo, Norway Jill Quadagno Pepper Institute on Aging and Public Policy, Florida State University, USA To be presented at the first annual conference of The Network for European Social Policy Analysis (ESPAnet), Copenhagen November 13-15 2003. To be published in European Sociological Review, vol.19, no.5, December 2003. Abstract The paper investigates public attitudes toward welfare state policies as a result of both situational, i.e. unemployment, and ideological factors, i.e. egalitarian ideology, at both the individual and national level. The dependent variables are public support for the sick and the old as well as for the unemployed as target beneficiaries of welfare state policies. Data from the ISSP-study «Role of government» are analyzed using a multi-level regression technique. Findings indicate that the nation level is important in shaping public attitudes toward welfare state policies in industrialized nations, and that both situational and ideological factors play a role. Apparently, various nations generate different public beliefs about national social problems and about the relationship between individuals, the state and other institutions. Eventually, these understandings and beliefs influence popular attitudes regarding what kind of policies the state should pursue, and who should benefit.