Francis Mitrou

Indigenous well-being in four countries: An application of the UNDP'S Human Development Index to Indigenous Peoples in Australia, Canada, New Zealand, and the United States

BackgroundCanada, the United States, Australia, and New Zealand consistently place near the top of the United Nations Development Programmes Human Development Index (HDI) rankings, yet all have minority Indigenous populations with much poorer health and social conditions than non-Indigenous peoples. It is unclear just how the socioeconomic and health status of Indigenous peoples in these countries has changed in recent decades, and it remains generally unknown whether the overall conditions of Indigenous peoples are improving and whether the gaps between Indigenous peoples and other citizens have indeed narrowed. There is unsettling evidence that they may not have. It was the purpose of this study to determine how these gaps have narrowed or widened during the decade 1990 to 2000.MethodsCensus data and life expectancy estimates from government sources were used to adapt the Human Development Index (HDI) to examine how the broad social, economic, and health status of Indigenous populations in these countries have changed since 1990. Three indices – life expectancy, educational attainment, and income – were combined into a single HDI measure.ResultsBetween 1990 and 2000, the HDI scores of Indigenous peoples in North America and New Zealand improved at a faster rate than the general populations, closing the gap in human development. In Australia, the HDI scores of Indigenous peoples decreased while the general populations improved, widening the gap in human development. While these countries are considered to have high human development according to the UNDP, the Indigenous populations that reside within them have only medium levels of human development.ConclusionThe inconsistent progress in the health and well-being of Indigenous populations over time, and relative to non-Indigenous populations, points to the need for further efforts to improve the social, economic, and physical health of Indigenous peoples.

Non-specific psychological distress, smoking status and smoking cessation: United States National Health Interview Survey 2005

BackgroundIt is well established that smoking rates in people with common mental disorders such as anxiety or depressive disorders are much higher than in people without mental disorders. It is less clear whether people with these mental disorders want to quit smoking, attempt to quit smoking or successfully quit smoking at the same rate as people without such disorders.MethodsWe used data from the 2005 Cancer Control Supplement to the United States National Health Interview Survey to explore the relationship between psychological distress as measured using the K6 scale and smoking cessation, by comparing current smokers who had tried unsuccessfully to quit in the previous 12 months to people able to quit for at least 7 to 24 months prior to the survey. We also used data from the 2007 Australian National Survey of Mental Health and Wellbeing to examine the relationship between psychological distress (K6) scores and duration of mental illness.ResultsThe majority of people with high K6 psychological distress scores also meet diagnostic criteria for mental disorders, and over 90% of these people had first onset of mental disorder more than 2 years prior to the survey. We found that people with high levels of non-specific psychological distress were more likely to be current smokers. They were as likely as people with low levels of psychological distress to report wanting to quit smoking, trying to quit smoking, and to have used smoking cessation aids. However, they were significantly less likely to have quit smoking.ConclusionsThe strong association between K6 psychological distress scores and mental disorders of long duration suggests that the K6 measure is a useful proxy for ongoing mental health problems. As people with anxiety and depressive disorders make up a large proportion of adult smokers in the US, attention to the role of these disorders in smoking behaviours may be a useful area of further investigation for tobacco control.

Food Sources of Saturated Fat and the Association With Mortality: A Meta-Analysis

We summarized the data related to foods high in saturated fat and risk of mortality. We searched Cochrane Library, MEDLINE, EMBASE, and ProQuest for studies from January 1952 to May 2012. We identified 26 publications with individual dietary data and all-cause, total cancer, or cardiovascular mortality as endpoints. Pooled relative risk estimates demonstrated that high intakes of milk, cheese, yogurt, and butter were not associated with a significantly increased risk of mortality compared with low intakes. High intakes of meat and processed meat were significantly associated with an increased risk of mortality but were associated with a decreased risk in a subanalysis of Asian studies. The overall quality of studies was variable. Associations varied by food group and population. This may be because of factors outside saturated fat content of individual foods. There is an ongoing need for improvement in assessment tools and methods that investigate food sources of saturated fat and mortality to inform dietary guidelines.

Anxiety disorders and cigarette smoking: Results from the Australian Survey of Mental Health and Wellbeing.

Objective: The aim of this study was to describe current and daily smoking rates, and smoking cessation rates in adults with anxiety disorders, by type of disorder, severity, use of services, and time since first onset of symptoms. Method: Data were taken from the 2007 National Survey of Mental Health and Wellbeing, a nationally representative probability sample of 8841 Australian adults aged 16–85 years. The survey assessed symptoms of mental disorders including anxiety disorders using a fully structured interview, the Composite International Diagnostic Interview (CIDI) Version 3.0. Results: More than one-fifth of Australian adult smokers had 12-month anxiety disorders. Smoking rates increased with illness severity, but even in those with mild anxiety disorders the smoking rate was double that of adults with no lifetime history of mental disorders. In the majority of adults with anxiety disorders the first onset of symptoms was 10 or more years prior to the survey. Median duration of daily smoking was 22 years in adults with anxiety disorders (95% CI: 20–26 years) compared with 14 years for adults with no lifetime history of mental disorder (95% CI: 12–16 years). Adult smokers with anxiety disorders were significantly less likely to cease daily smoking (hazard ratio 0.57; 95% CI: 0.49–0.69). Conclusions: People with anxiety disorders are over-represented among smokers, are less likely to cease daily smoking and on average smoke for longer exposing them to greater risk of tobacco-related harm. The small proportion of adults with anxiety disorders who access services, and the small differences in smoking and smoking cessation rates between service users and non-users suggest that targeted population-based rather than service-based anti-smoking strategies are required to reach this vulnerable population group, who represent a significant proportion of Australias daily smokers.

Risk Factors for Children's Receptive Vocabulary Development from Four to Eight Years in the Longitudinal Study of Australian Children

Receptive vocabulary develops rapidly in early childhood and builds the foundation for language acquisition and literacy. Variation in receptive vocabulary ability is associated with variation in childrens school achievement, and low receptive vocabulary ability is a risk factor for under-achievement at school. In this study, bivariate and multivariate growth curve modelling was used to estimate trajectories of receptive vocabulary development in relation to a wide range of candidate child, maternal and family level influences on receptive vocabulary development from 4–8 years. The study sample comprised 4332 children from the first nationally representative Longitudinal Study of Australian Children (LSAC). Predictors were modeled as risk variables with the lowest level of risk as the reference category. In the multivariate model, risks for receptive vocabulary delay at 4 years, in order of magnitude, were: Maternal Non- English Speaking Background (NESB), low school readiness, child not read to at home, four or more siblings, low family income, low birthweight, low maternal education, maternal mental health distress, low maternal parenting consistency, and high child temperament reactivity. None of these risks were associated with a lower rate of growth from 4–8 years. Instead, maternal NESB, low school readiness and maternal mental health distress were associated with a higher rate of growth, although not sufficient to close the receptive vocabulary gap for children with and without these risks at 8 years. Socio-economic area disadvantage, was not a risk for low receptive vocabulary ability at 4 years but was the only risk associated with a lower rate of growth in receptive vocabulary ability. At 8 years, the gap between children with and without socio-economic area disadvantage was equivalent to eight months of receptive vocabulary growth. These results are consistent with other studies that have shown that social gradients in childrens developmental outcomes increase over time.

Tackling overweight and obesity: does the public health message match the science?

BackgroundDespite the increasing understanding of the mechanisms relating to weight loss and maintenance, there are currently no validated public health interventions that are able to achieve sustained long-term weight loss or to stem the increasing prevalence of obesity in the population. We aimed to examine the models of energy balance underpinning current research about weight-loss intervention from the field of public health, and to determine whether they are consistent with the model provided by basic science. EMBASE was searched for papers published in 2011 on weight-loss interventions. We extracted details of the population, nature of the intervention, and key findings for 27 articles.DiscussionMost public health interventions identified were based on a simple model of energy balance, and thus attempted to reduce caloric consumption and/or increase physical activity in order to create a negative energy balance. There appeared to be little consideration of homeostatic feedback mechanisms and their effect on weight-loss success. It seems that there has been a lack of translation between recent advances in understanding of the basic science behind weight loss, and the concepts underpinning the increasingly urgent efforts to reduce excess weight in the population.SummaryPublic health weight-loss interventions seem to be based on an outdated understanding of the science. Their continued failure to achieve any meaningful, long-term results reflects the need to develop intervention science that is integrated with knowledge from basic science. Instead of asking why people persist in eating too much and exercising too little, the key questions of obesity research should address those factors (environmental, behavioral or otherwise) that lead to dysregulation of the homeostatic mechanism of energy regulation. There is a need for a multidisciplinary approach in the design of future weight-loss interventions in order to improve long-term weight-loss success.

Smoking Status, Mental Disorders and Emotional and Behavioural Problems in Young People: Child and Adolescent Component of the National Survey of Mental Health and Wellbeing

Objective: To examine the relationship between smoking behaviour, mental disorders and emotional and behavioural problems in a nationally representative sample of young people. Method: Data were taken from the child and adolescent component of the National Survey of Mental Health and Wellbeing which assessed mental health problems in two main ways: using a fully structured interview (the Diagnostic Interview Schedule for Children) and using the Child Behaviour Checklist and the Youth Self Report, which assess emotional and behavioural problems on a dimensional scale. The relationship between smoking and mental health problems was assessed using logistic regression. Results: Among young people with conduct disorder 72% had smoked in the last 30 days, 46% of young people with depressive disorder, and 38% among young people with attention deficit hyperactivity disorder. This compared with 21% of young people with none of these disorders. Odds ratios (OR) for current smoking were consistently elevated for young people with mental health problems after adjusting for demographic and socio-economic factors across all measures of mental health used. The OR for current smoking in young people with parent-reported externalizing behaviours in the clinical range was 4.5 (95%CI: 3.1–6.8), and for young people with parent-reported internalizing problems in the clinical range the OR was 2.7 (95%CI: 1.8–4.0). Young people with mental health problems started smoking on average at a younger age, were more likely to progress to current smoking, and smoked on average a higher number of cigarettes per day. Conclusions: After adjusting for demographic and socio-economic factors, young people with mental health problems were more likely to start smoking, progress to daily smoking, and smoke more heavily. Mental illness is an important issue to consider in tobacco control in young people.

Sugar sweetened beverage consumption by Australian children: Implications for public health strategy

BackgroundHigh consumption of sugar sweetened beverages (SSBs) has been linked to unhealthy weight gain and nutrition related chronic disease. Intake of SSB among children remains high in spite of public health efforts to reduce consumption, including restrictions on marketing to children and limitations on the sale of these products in many schools. Much extant literature on Australian SSB consumption is out-dated and lacks information on several key issues. We sought to address this using a contemporary Australian dataset to examine purchase source, consumption pattern, dietary factors, and demographic profile of SSB consumption in children.MethodsData were from the 2007 Australian National Childrens Nutrition and Physical Activity Survey, a representative random sample of 4,834 Australian children aged 2-16 years. Mean SSB intake by type, location and source was calculated and logistic regression models were fitted to determine factors associated with different levels of consumption.ResultsSSB consumption was high and age-associated differences in patterns of consumption were evident. Over 77% of SSB consumed was purchased via supermarkets and 60% of all SSB was consumed in the home environment. Less than 17% of SSB was sourced from school canteens and fast food establishments. Children whose parents had lower levels of education consumed more SSB on average, while children whose parents had higher education levels were more likely to favour sweetened juices and flavoured milks.ConclusionsSSB intake by Australian children remains high and warrants continued public health attention. Evidence based and age-targeted interventions, which also recognise supermarkets as the primary source of SSB, are recommended to reduce SSB consumption among children. Additionally, education of parents and children regarding the health consequences of high consumption of both carbonated and non-carbonated SSBs is required.

Antecedents of teenage pregnancy from a 14-year follow-up study using data linkage

BackgroundMany western nations continue to have high rates of teenage pregnancies and births, which can result in adverse outcomes for both mother and child. This study identified possible antecedents of teenage pregnancy using linked data from administrative sources to create a 14-year follow-up from a cross-sectional survey.MethodsData were drawn from two sources - the 1993 Western Australian Child Health Survey (WACHS), a population-based representative sample of 2,736 children aged 4 to 16 years (1,374 girls); and administrative data relating to all their subsequent births and hospital admissions. We used weighted population estimates to examine differences between rates for teenage pregnancy, motherhood and abortion. We used Cox proportional hazards regression to model risk for teenage pregnancy.ResultsThere were 155 girls aged less than 20 years at the time of their first recorded pregnancy. Teenage pregnancy was significantly associated with: family type; highest school year completed by primary carer; combined carer income; whether the primary carer was a smoker; and whether the girl herself displayed aggressive and delinquent behaviours. An age-interaction analysis on the association with aggressive and delinquent behaviours found that while girls with aggressive and delinquent behaviours who were older at the time of the survey were at highest risk of teenage pregnancy, there was elevated risk for future teenage pregnancy across all ages.ConclusionsOur findings suggest that interventions to reduce teenage pregnancy rates could be introduced during primary school years, including those that are focused on the prevention and management of aggressive and delinquent behaviour.

Smoking, mental illness and socioeconomic disadvantage: analysis of the Australian National Survey of Mental Health and Wellbeing

BackgroundHigh rates of smoking and lower rates of smoking cessation are known to be associated with common mental disorders such as anxiety and depression, and with individual and community measures of socioeconomic status. It is not known to what extent mental illness and socioeconomic status might be jointly associated with smoking behaviour. We set out to examine the relationship between mental illness, measures of socioeconomic disadvantage and both current smoking and smoking cessation rates.MethodsWe used data from the 2007 Australian National Survey of Mental Health and Wellbeing to examine the relationship between mental illness, socioeconomic status and both current smoking and smoking cessation. We used cross-classified tables and logistic regression to examine the relationship between psychosocial and sociodemographic predictors and current smoking. We also used proportional hazards regression to examine the relationship between the factors and smoking cessation.ResultsBoth mental illness and socioeconomic status were independently associated with current smoking and with lower likelihood of smoking cessation, with gradients in smoking by mental health status being observed within levels of socioeconomic indicators and vice versa. Having a mental illness in the past 12 months was the most prevalent factor strongly associated with smoking, affecting 20.0% of the population, associated with increased current smoking (OR 2.43; 95% CI: 1.97-3.01) and reduced likelihood of smoking cessation (HR: 0.77; 95% CI: 0.65-0.91).ConclusionsThe association between mental illness and smoking is not explained by the association between mental illness and socioeconomic status. There are strong socioeconomic and psychosocial gradients in both current smoking and smoking cessation. Incorporating knowledge of the other adverse factors in smokers’ lives may increase the penetration of tobacco control interventions in population groups that have historically benefitted less from these activities.