Understanding the relationship between social change and its impacts: The experience of rural land use change in south-eastern Australia

This study investigated socio-economic impacts of land use change, giving explicit attention to the relationships between independently observed land use change and associated socio-economic changes, perceived land use change and socio-economic change, attributed cause of change, and experienced impacts of change. Using a case study region in south-east Australia, we examined the impacts of growth in use of land for dairy farming, cropping, blue gum plantations and rural residential development on (i) rural population trends, and (ii) the amount and nature of employment available in the study region. Perceptions and impacts of change were assessed using multiple qualitative and quantitative methods. Results demonstrate that local residents were not always aware of the extent and nature of land use change, and had difficulty attributing social changes and their impacts to the land use changes that underlie them. Furthermore, the felt impacts of land use change appeared dependent on a person's awareness of that change, and on their beliefs about the causes of social change. These findings highlight avenues for theoretical development to better specify the processes by which social change processes are experienced as human impacts. The findings also have implications for land use policy and social impact assessment, illustrating the importance of understanding both perceived and actual social change.     

Raising awareness of psychosocial factors in the occurrence of low back symptoms in developing countries

Although there is strong evidence that single physical, psychosocial and organisational risk factors are each independent predictors of low back symptoms (LBS), little is known about their combination/interaction, particularly in those working in developing countries. A total of 1294 Indonesian coal mining industry workers reported information about physical, psychosocial, and organisational factors using self-reported questionnaires and were placed into one of four combination exposure groups: 1) high physical (working with bent trunk; whole body vibration exposure; lifting) and high psychosocial (high effort; low reward; work stress), 2) high physical and low psychosocial, 3) low physical and high psychosocial, and 4) low physical and low psychosocial (as the reference group). The odds of LBS in the high physical and high psychosocial group was 5.15 times (95% confidence interval 2.69-9.86) that of the reference group. Psychosocial factors played a more important role than physical factors in increasing the likelihood of reporting LBS. Permanent and night shift workers were more likely to report LBS. These findings imply that efforts to reduce LBS in this workplace should address both psychosocial and physical factors but psychosocial factors should be the priority, with a special focus on permanent and night shift workers.     

Social firms: Sustainable employment for people with mental illness

Objective: Social firms or enterprises aim to offer sustainable employment in supportive workplaces for people who are disadvantaged in the labour market. Therefore, this study sought to explore employees' views in one social firm about the features of their workplace that they found supportive.Participants: Seven employees were recruited, all of whom experienced persistent mental illness, and had worked in this social firm for between eleven months and six years. Methods: A semi-structured interview, the Work Environment Impact Scale (version 2.0), was used to explore participants' views of their workplace and to rate how its physical and social characteristics impacted them. Participants also rated their job satisfaction with a modified Indiana Job Satisfaction Scale. Results: Features of the social firm workplace identified by these employees as contributing to their sustained employment and satisfaction were the rewards, task demands, work schedule, and workplace interactions with supervisors and other co-workers. From their views, guiding principles for the development of supportive workplaces and evaluation of their capacity to afford sustainable employment were derived. Conclusions: This study adds to current knowledge about workplace supports from an employee perspective, and is of relevance for informing future social firm development, workplace design and evaluation.     

Development in youth enterprises

Business enterprises run by youth can create jobs and teach the principles of free enterprise but also convey skills that can be used by employees in large companies, as well as political activists and entrepreneurs. Research is needed to test the efficacy of this approach and identify its key components.     

Integrated methodology for multiple systems estimation and record linkage using a missing data formulation

There are now three essentially separate literatures on the topics of multiple systems estimation, record linkage, and missing data. But in practice the three are intimately intertwined. For example, record linkage involving multiple data sources for human populations is often carried out with the expressed goal of developing a merged database for multiple system estimation (MSE). Similarly, one way to view both the record linkage and MSE problems is as ones involving the estimation of missing data. This presentation highlights the technical nature of these interrelationships and provides a preliminary effort at their integration.     

Consultants' forum: should post hoc sample size calculations be done?

Pre‐study sample size calculations for clinical trial research protocols are now mandatory. When an investigator is designing a study to compare the outcomes of an intervention, an essential step is the calculation of sample sizes that will allow a reasonable chance (power) of detecting a pre‐determined difference (effect size) in the outcome variable, at a given level of statistical significance. Frequently studies will recruit fewer patients than the initial pre‐study sample size calculation suggested. Investigators are faced with the fact that their study may be inadequately powered to detect the pre‐specified treatment effect and the statistical analysis of the collected outcome data may or may not report a statistically significant result. If the data produces a “non‐statistically significant result” then investigators are frequently tempted to ask the question “Given the actual final study size, what is the power of the study, now, to detect a treatment effect or difference?” The aim of this article is to debate whether or not it is desirable to answer this question and to undertake a power calculation, after the data have been collected and analysed. Copyright © 2008 John Wiley & Sons, Ltd.     

International Migrant Remittances and Labour Supply in Nigeria

The study analyses how remittances to Nigeria affect the labour supply of recipients using Propensity Score Matching (PSM) and a Log‐Linear regression model, with data from the 2013 Nigerian General Household Survey. The PSM results show that for the entire sample, the difference between the average amount of labour supplied per week by those that receive remittances and the amount they would have supplied without remittances is insignificant. The marginal impact analysis also shows that, ceteris paribus, the average labour supply for all recipients is inelastic to remittances. The results from the sub‐group analysis, however, show that receiving remittances negatively affects the labour supply of the self‐employed in agriculture, teenagers and the elderly. These results led us to the recommendation that policies to increase the inflow of remittances should be encouraged but in tandem with programmes to educate farmers on the benefit of investing remittances received in their farming business.     

Disclosure Stress,Social Support,and Depressive Symptoms Among Cisgender Bisexual Youth

Bisexual youth are at elevated risk for depression when compared with lesbians and gay men. Research on bisexual stigma suggests that these youth are uniquely vulnerable to stress related to sexual identity disclosure. Depression associated with this stress may be buffered by social support from parents and friends. We examined the differential influence of social support from parents and friends (Child and Adolescent Social Support Scale) on the relation between disclosure stress (LGBTQ Coming Out Stress Scale) and depressive symptoms (Beck Depression Inventory) and differences by gender in a sample of cisgender bisexual youth (N = 383) using structural equation modeling. Parental support buffered the association between stressful disclosure to family and depressive symptoms, especially for bisexual men; bisexual women seemed not to benefit from such support when disclosure stress was high. This nuanced examination elucidates the ways family members and clinicians can best support bisexual youth sexual identity disclosure.