Effects of parental perception of neighbourhood deprivation and family environment characteristics on pro-social behaviours among 4-12 year old children

Objective : To assess the effect family environment stressors (e.g. poor family functioning and parental psychological distress) and neighbourhood environment on child prosocial behaviour (CPB) and child difficulty behaviour (CDB) among 4-to-12 year old children.

Methods : Analysis of the 2006 Victorian Child Health and Wellbeing Survey (VCHWS) dataset derived from a statewide cross-sectional telephone survey, with a final total sample of 3,370 children.

Results : Only family functioning, parental psychological distress, child gender, and age were associated with CPB, explaining a total of 8% of the variance. Children from healthily functioning families and of parents without any psychological distress exhibited greater prosocial behaviours than those from poorly functioning families and of parents with mental health problems. Neighbourhood environment was not found to contribute to CPB. A total of eight variables were found to predict CDB, explaining a total of 16% of the variance. Poor family and parental psychological functioning as well as poor access to public facilities in the neighbourhood were associated with conduct problems in children.

Conclusion : Our results point to the importance of the family environment in providing a context that fosters the development of empathic, caring and responsible children; and in buffering children in exhibiting behaviour difficulties during the formative years of life. Programs aimed at promoting prosocial behaviours in children need to target stressors on the family environment.

An index of unhealthy lifestyle is associated with coronary heart disease mortality rates for small areas in England after adjustment for deprivation

Indices of socio-economic deprivation are often used as a proxy for differences in the health behaviours of populations within small areas, but these indices are a measure of the economic environment rather than the health environment. Sets of synthetic estimates of the ward-level prevalence of low fruit and vegetable consumption, obesity, raised blood pressure, raised cholesterol and smoking were combined to develop an index of unhealthy lifestyle. Multi-level regression models showed that this index described about 50% of the large-scale geographic variation in CHD mortality rates in England, and substantially adds to the ability of an index of deprivation to explain geographic variations in CHD mortality rates.

Educational and mental health implications of the multidimensional model of the self-concept for adolescent girls : comparison of clinical and non-clinical samples

The importance of a positive self-concept as an educational outcome and a facilitator of other desirable outcomes are well established within the education research field. Although the multidimensional and hierarchical model of the self-concept is widely accepted within the educational psychology, this perspective is not widely used within the mental health research. Hence, the purpose of the present investigation is to compare the psychometric properties of the short version of the Self-Description Questionnaire (SDQII-S) based on responses by a large sample of female adolescent high school students (N= 829) and a clinical sample of adolescent girls who have been diagnosed with anorexia nervosa (N= 75). The well-established psychometric properties of the longer version of the SDQII generalise well to both samples of adolescent girls, and analyses provided good support for the invariance of the factor structure across the two samples. Furthermore, analyses employing new structural equation modelling approaches to comparing the latent mean differences indicated that there were differences (although surprisingly small) between the two groups that were generally consistent with a priori predictions. The important educational and clinical implications of these results are discussed.

Exploring multidimensional person-environment fit

The current study examines the validity of a multidimensional Person-Environment (PE) fit model proposed by Jansen and Kristof-Brown (2006). The overall aim of the paper is to test the model’s factor structure and influences upon outcome measures. A panel of organisational employees from a wide range of companies and locations were asked to complete a survey (n = 1875) measuring five discrete multidimensional facets of PE fit (Person-Organisation, Person-People, Person-Job, Person-Group and Person-Vocation) and three outcomes; organisational commitment, intention to leave and job satisfaction. The first sequence of analysis tested the proposed model using Confirmatory Factor Analysis (CFA) statistical approaches. Model comparisons showed that Jansen and Kristof-Brown’s original model in which the five facets of fit coalesce into a multidimensional variable was a poor fit with the data, but that a model in which the five facets of fit operate independently was a good fitting one. The second sequence of analysis found that the model without the multidimensional variable strongly predicted the outcomes of commitment, job satisfaction and intention to leave. This paper discusses the implication of this research in relation to the PE fit literature.

Testing a multidimensional theory of person-environment fit

The current study examines the validity of a multidimensional Person-Environment (PE) fit model proposed by Jansen and Kristof-Brown (2006). The overall aim of the paper is to test the model's factor structure and influences upon outcome measures. A panel of organizational employees from a wide range of companies and locations were asked to complete a survey (n = 1,875) measuring five discrete dimensions of perceptual PE fit (Person-Organization, Person-People, Person-Job, Person-Group, and Person-Vocation) and three outcomes (organizational commitment, intention to leave, and job satisfaction). The first sequence of analysis tested the proposed model using Confirmatory Factor Analysis (CFA) statistical approaches. Model comparisons showed that Jansen and Kristof-Brown's (2006) original model in which the five dimensions of fit coalesce into a multidimensional construct was a poor fit with the data, but that a model in which the five dimensions of fit operate independently fit the data well. The second sequence of analysis found that the model without the multidimensional construct strongly predicted the outcomes of commitment, job satisfaction, and intention to leave. This paper discusses the implication of this research in relation to the PE fit literature.

Effectiveness of national elite sport policies : a multidimensional approach applied to the case of Flanders

While the results of nations in international sport competitions are most often used as an evaluation of effectiveness of elite sport policies, they do not take into account the long-term duration of an athletic career, nor the many confounding variables influencing international success. This paper argues that output evaluation is a one-sided approach to policy assessment. It applies a multidimensional approach to the measurement of the effectiveness of elite sports policy evaluation (meso-level) by examining a four-year cycle of elite sport policies in Flanders. This study endeavors to advance the development of a framework to assess effectiveness of elite sport policies of nations. Data were collected at multiple points of the input-throughput-output and feedback cycle. It was found that in spite of the increasing elite sport expenditures in Flanders (inputs), and notwithstanding the development of the throughputs (processes), this has not as yet lead to acceptable results (outputs) at an international level.

Multidimensional evaluation framework for virtual environment efficacy assessment

This research is related to the user-centred design and use of Virtual Environment (VE) training systems. A multidimensional user-centred systematic training evaluation framework that combines ideas from human-computer interaction, training, education and psychology was proposed, which contributes to better design and evaluation of VE user interfaces.

Relative deprivation between neighbouring wards is predictive of coronary heart disease mortality after adjustment for absolute deprivation of wards

Background The aims of this study were to assess whether deprivation inequality at small area level in England is associated with coronary heart disease (CHD) mortality rates and to assess whether this provides evidence of an association between area-level and individual-level risk.

Methods Mortality rates for all wards in England were calculated using all CHD deaths between 2001 and 2006. Ward-level deprivation was measured using the Carstairs Index. Deprivation inequality within local authorities (LAs) was measured by the IQR of deprivation for wards within the LA. Relative deprivation for wards was measured as the modulus of the difference between deprivation for the ward and average deprivation for all neighbouring wards.

Results Deprivation inequality within LAs was positively associated with CHD mortality rates per 100 000 (eg, all men β; 95% CI=2.7; 1.1 to 4.3) after adjustment for absolute deprivation (p<0.001 for all models). Relative deprivation for wards was positively associated with CHD mortality rates per 100 000 (eg, all men 1.4; 0.7 to 2.1) after adjustment for absolute deprivation (p<0.001 for all models). Subgroup analyses showed that relative deprivation was independently associated with CHD mortality rates in both affluent and deprived wards.

Conclusions Rich wards surrounded by poor areas have higher CHD mortality rates than rich wards surrounded by rich areas, and poor wards surrounded by rich areas have worse CHD mortality rates than poor wards surrounded by poor areas. Local deprivation inequality has a similar adverse impact on both rich and poor areas, supporting the hypothesis that income inequality of an area has an impact on individual-level health outcomes.

Multidimensional correlates of preschool children's physical activity

This thesis identified a number of factors which are associated with preschool children’s physical activity and were previously unexplored. The findings are important as they help identify possible targets for interventions to support healthy levels of physical activity in young children.

Accounting for the multidimensional nature of the relationship between adult obesity and socio-economic status : the French second National Individual Survey on Food Consumption (INCA 2) dietary survey (2006–07)

The objective was to study the multidimensional nature of the relationship between adult obesity (OB) and socio-economic status (SES),
using comprehensive indices of SES taken separately or synthesised in an overall index. A nationally representative sample of adults aged
18–79 years was taken from the French second National Individual Survey on Food Consumption (INCA 2) dietary survey (2006–07).
Weight and height were measured and OB defined as BMI $ 30 kg/m². SES variables were reported in questionnaires and included
occupation, education and characteristics of household wealth. Composite indices of SES (household wealth and overall SES indices)
were computed by correspondence analysis, and relationships with OB were investigated with logistic regression analysis. In total, 11·8
(95% CI 10·1, 13·4) % of French adults were obese, without significant difference by sex. While no significant relationship was observed
in men, all SES indicators were inversely correlated to OB in women. Both education and the household wealth index were retained in the
stepwise multivariate model, confirming that different socio-economic variables are not necessarily proxies of each other regarding the OB
issue. On the other hand, ‘controlling for SES’ while including several measures of SES in multivariate models may lead to collinearity, and
thus over-adjustment. A more integrative approach may be to derive a synthetic index by including the SES factors available in a given
study. Beyond this methodological perspective, understanding how OB is related to the different dimensions of SES should help to
target the more vulnerable groups and increase the effectiveness of prevention.