Suchergebnisse

To assess the effectiveness of telephone-based interventions for mental illness, a systematic search of the literature was conducted using the databases PsycINFO and PubMed, and the search engine Google Scholar. The search identified 14 studies evaluating telephone-based interventions in the areas of depression (n=6), anxiety (n=3), eating disorders (n=3), substance use (n=1) and schizophrenia (n=1). Although these studies provide evidence that telephone interventions can be effective, the few studies conducted, small sample sizes and lack of randomized controlled trial methodology prevent firm conclusions from being drawn. The articles reviewed suggest that an effective telephone intervention includes clearly structured therapy sessions and homework tasks. However, further evidence using large-scale, randomized controlled trials must be obtained in order to inform government and telephone counselling agencies about the efficacy of telephone interventions.

To assess the effectiveness of telephone-based interventions for mental illness, a systematic search of the literature was conducted using the databases PsycINFO and PubMed, and the search engine Google Scholar. The search identified 14 studies evaluating telephone-based interventions in the areas of depression (n=6), anxiety (n=3), eating disorders (n=3), substance use (n=1) and schizophrenia (n=1). Although these studies provide evidence that telephone interventions can be effective, the few studies conducted, small sample sizes and lack of randomized controlled trial methodology prevent firm conclusions from being drawn. The articles reviewed suggest that an effective telephone intervention includes clearly structured therapy sessions and homework tasks. However, further evidence using large-scale, randomized controlled trials must be obtained in order to inform government and telephone counselling agencies about the efficacy of telephone interventions.

AbstractAustralia is a multi-cultural society, with the majority of recent migrants arriving from non-English speaking Asian countries. Yet we know little about how ethnic diversity in the population is reflected in employment participation and within-family time exchange. This paper investigates how nonmarket time and labour market time vary across migrant groups from non-English speaking country backgrounds (NESCB) compared with English-speaking country background migrants and non-Indigenous Australians (ESB&AU). It uses a longitudinal instrumental variable method to deal with biases caused by endogeneity and unobserved heterogeneity. We find that nonmarket time is strongly influenced by family circumstances such as having young children and partner's circumstances (health status and life events including health shocks). The relationship of these factors with nonmarket time varies across our two major groups. For example, the relationship between a partner's life events and partner's health status and the other partner's nonmarket time are significantly greater for NESCB migrant couples than for ESB&AU couples. This connects with our initial theories about the collectivist cultural backgrounds in NESCB couples in maintaining gender roles or different levels of economic security facing NESB migrants that affect how they allocate caregiving and housework time, especially when a partner becomes ill or face a life event. This paper also shows clear evidence of health selection into the labour market, and a strong trade-off between nonmarket and market time in both groups.

AbstractUsing nationally representative data from Household Income and Labour Dynamics in Australia, this paper examines the impact of poor health, family impaired health and family time on the labour market participation of couples aged 25–64. We address sample selection bias and endogeneity bias by employing instrumental variable Tobit models. Our findings indicate that health selection into the labour market occurs not only due to individual's own health but also due to other family members' health, and family time—which is largely determined by various family factors such as a presence of preschool children (childcare) and partner's major life events. We find a significant trade‐off between family unpaid time and labour market participation, which is augmented after correcting for endogeneity of family unpaid time in market time consideration. This supports our argument that health selection should be considered within the family context, in which each member makes decisions conditional not only on their own but also other family members' health and time resources.

Abstract
Purpose
Difficulties managing work and family demands are common and have been found to be associated with stress and poor mental health. However, very few studies have examined Work Family Conflict (WFC) in connection with diagnosable anxiety disorders (and none with Australian representative data). The current study investigated whether high WFC was significantly associated with a diagnosis of Generalised Anxiety Disorder (GAD) after controlling for a broad range of socio-demographic contextual factors, related psychosocial job, family and individual characteristics, and prior anxiety symptom history.

Methods
Data was analysed from an Australian population-based community cohort - the Personality and Total Health (PATH) Through Life project. Eligible participants (N = 1159) were employed full-time or part-time, with data collected by both online questionnaire and face-to-face interview. Presence of Generalised Anxiety Disorder (GAD) in the past 12-months was diagnosed by the GAD module in the Composite International Diagnostic Interview (CIDI) (based on DSM-IV criteria) and severe anxiety symptoms were measured using the Patient Health Questionnaire (PHQ) 7-item 'other anxiety' model.

Results
The findings consistently showed that those experiencing high WFC had higher odds of a GAD diagnosis (final adjusted model: CIDI: OR: 2.55, CI: 1.38–4.70) as well as clinical levels of anxiety symptoms (PHQ: OR:2.61, CI:1.44,4.72). This was the case after controlling for an extensive range of covariates.

Conclusions
This is one of the first studies to show that WFC is associated with greater likelihood of GAD. The challenge of juggling both work and family can have far-reaching impacts - not just increasing distress broadly, but also potentially increasing the likelihood of clinically diagnosable anxiety.