Using patients' experiences of adverse events to improve health service delivery and practice: protocol of a data linkage study of Australian adults age 45 and above

Evidence of patients' experiences is fundamental to creating effective health policy and service responses, yet is missing from our knowledge of adverse events. This protocol describes explorative research redressing this significant deficit; investigating the experiences of a large cohort of recently hospitalised patients aged 45 years and above in hospitals in New South Wales (NSW), Australia.

Australian adults’ knowledge of Australian agriculture

Purpose – Agriculture is a major generator of wealth and employment in Australia. However, it faces a range of economic and environmental challenges which require substantial community support. The purpose of this paper is to examine Australian adults’ Australian knowledge of, and attitudes towards, Australian agriculture. Design/methodology/approach – Online questionnaire survey of 1,026 adults conducted nationwide during August 2012. Findings – Most respondents had little knowledge of even the basic aspects of the industry but they approved of farmers’ performance of their roles. Latent class analysis showed that there are two groups of consumers with low and lower levels of knowledge. The respondents’ age, rural residence and universalist values were positive predictors of agricultural knowledge. Research limitations/implications – This was a cross-sectional, quota-based survey which examined only some aspects of agriculture. However, the findings suggest that more communication with the general public about the industry is required in order to build on the positive sentiment that exists within the community. Practical implications – More education about agriculture in schools and higher education is indicated. Social implications – The poor state of knowledge of agriculture threatens the social contract upon which agricultural communities depend for survival. Originality/value – The study highlights the poor state of general knowledge about agriculture in Australia. The findings could be used as a baseline against which the efficacy of future education programmes could be assessed.

Trends in body mass index according to educational attainment for urban Australian adults between 1980 and 2007

BackgroundWe have previously demonstrated that between the years 1980 and 2000, the mean body mass index (BMI) of the urban Australian population increased, with greater increases observed with increasing BMI. The current study aimed to quantify trends over time in BMI according to education between 1980 and 2007.MethodsWe compared data from the 1980, 1983 and 1989 National Heart Foundation Risk Factor Prevalence Studies, 1995 National Nutrition Survey, 2000 Australian Diabetes, Obesity and Lifestyle Study and the 2007 National Health Survey. For survey comparability, analyses were restricted to urban Australian residents aged 25-64 years. BMI was calculated from measured height and weight. The education variable was dichotomised at completion of secondary school. Four age-standardised BMI indicators were compared over time by sex and education: mean BMI, mean BMI of the top five percent of the BMI distribution, prevalence of obesity (BMI⩾30 kg/m(2)), prevalence of class II(+) obesity (BMI⩾35 kg/m(2)).ResultsBetween 1980 and 2007, the mean BMI among men increased by 2.5 kg/m(2) and 1.7 kg/m(2) for those with low and high education levels, respectively, corresponding to increases in obesity prevalence of 20(from 12% to 32%) and 11(10% to 21%) %-points. Among women mean BMI increased by 2.9 kg/m(2) and 2.4 kg/m(2) for those with low and high education levels respectively, corresponding to increases in obesity prevalence of 16(12% to 28%) and 12(7% to 19%) %-points. The prevalence of class II(+) obesity among men increased by 9(1% to 10%) and 4(1% to 5%) %-points for those with low and high education levels, and among women increased by 8(4% to 12%) and 4(2% to 6%) %-points. Absolute and relative differences between education groups generally increased over time.ConclusionsEducational differences in BMI have persisted among urban Australian adults since 1980 without improvement. Obesity prevention policies will need to be effective in those with greatest socio-economic disadvantage if we are to equitably and effectively address the population burden of obesity and its corollaries.International Journal of Obesity accepted article preview online, 16 March 2015. doi:10.1038/ijo.2015.27.

The Psychometric Equivalence of the Personal Wellbeing Index for Normally Functioning and Homeostatically Defeated Australian Adults

Understanding subjective wellbeing (SWB) at the population level has major implications for governments and policy makers concerned with enhancing the life quality of citizens. The Personal Wellbeing Index (PWI) is a measure of SWB with theoretical and empirical credentials. Homeostasis theory offers an explanation for the nature of SWB data, including the distribution of scores, maintenance and change over time. According to this theory, under normal conditions, the dominant constituent of SWB is Homeostatically Protected Mood (HPMood), which is held within a genetically determined range of values around a set-point. However, in extreme circumstances (e.g., financial hardship, chronic illness), HPMood may dissociate from SWB, as cognitive/emotional reactions to the cause of homeostatic challenge assume control over SWB. This study investigates two groups as people scoring in the positive range for SWB and people who are likely to be experiencing homeostatic defeat/challenge. We test whether the reduced influence of HPMood on SWB due to homeostatic defeat has implications for the validity of SWB measurement. Participants were 45,192 adults (52 % female), with a mean age of 48.88 years (SD = 17.35 years), who participated in the first 23 surveys of the Australian Unity Wellbeing Index over the years 2001–2010. Multiple regression analysis, multiple group confirmatory factor analysis, and Rasch modelling techniques were used to evaluate the psychometric performance of the PWI across the two groups. Results show that while the PWI functioned as intended for the normal group, SWB in the challenged group was lower across all PWI domains, more variable, and the domain scores lacked the strength of inter-correlation observed in the normal, comparison group. These changes are consistent with predictions based on homeostasis theory and one major implication of the findings is that SWB measures may not function equivalently across the entire spectrum of possible domain satisfaction scores.

Perceived neighbourhood environmental attributes and prospective changes in TV viewing time among older Australian adults

There has been a growing interest in environmental initiatives to reduce sedentary behaviour. A few existing studies on this topic are mostly cross-sectional, focused on the general adult population, and examining neighbourhood walkability. This study examined associations of perceived environmental attributes with change in TV viewing time over seven years among older Australian adults in the Australian Diabetes, Obesity and Lifestyle (AusDiab) study.

Time series analysis of the impact of tobacco control policies on smoking prevalence among Australian adults, 2001–2011

Objective: To determine the impact of tobacco control policies and mass media campaigns on smoking prevalence in Australian adults.
Methods: Data for calculating the average monthly prevalence of smoking between January 2001 and June 2011 were obtained via structured interviews of randomly sampled adults aged 18 years or older from Australia’s five largest capital cities (monthly mean number of adults interviewed: 2375). The influence on smoking prevalence was estimated for increased tobacco taxes; strengthened smoke-free laws; increased monthly population exposure to televised tobacco control mass media campaigns and pharmaceutical company advertising for nicotine replacement therapy (NRT), using gross ratings points; monthly sales of NRT, bupropion and varenicline; and introduction of graphic health warnings on cigarette packs. Autoregressive integrated moving average (ARIMA) models were used to examine the influence of these interventions on smoking prevalence.
Findings: The mean smoking prevalence for the study period was 19.9% (standard deviation: 2.0%), with a drop from 23.6% (in January 2001) to 17.3% (in June 2011). The best-fitting model showed that stronger smoke-free laws, tobacco price increases and greater exposure to mass media campaigns independently explained 76% of the decrease in smoking prevalence from February 2002 to June 2011.
Conclusion: Increased tobacco taxation, more comprehensive smoke-free laws and increased investment in mass media campaigns played a substantial role in reducing smoking prevalence among Australian adults between 2001 and 2011.

The association between socio-economic position and diet quality in Australian adults

Objective: We aimed to investigate the association between multiple measures of socio-economic position (SEP) and diet quality, using a diet quality index representing current national dietary guidelines, in the Australian adult population. Design: Cross-sectional study. Linear regression analyses were used to estimate the association between indicators of SEP (educational attainment, level of income and area-level disadvantage) and diet quality (measured using the Dietary Guideline Index (DGI)) in the total sample and stratified by sex and age (≤55 years and >55 years). Setting: A large randomly selected sample of the Australian adult population. Subjects: Australian adults (n 9296; aged ≥25 years) from the Australian Diabetes, Obesity and Lifestyle Study. Results: A higher level of educational attainment and income and a lower level of area-level disadvantage were significantly associated with a higher DGI score, across the gradient of SEP. The association between indicators of SEP and DGI score was consistently stronger among those aged ≤55 years compared with their older counterparts. The most disadvantaged group had a DGI score between 2 and 5 units lower (depending on the marker of SEP) compared with the group with the least disadvantage. Conclusions: A higher level of SEP was consistently associated with a higher level of diet quality for all indicators of SEP examined. In order to reduce socio-economic inequalities in diet quality, healthy eating initiatives need to act across the gradient of socio-economic disadvantage with a proportionate focus on those with greater socio-economic disadvantage.

Spirituality, religion, social support and health among older Australian adults

AIM: To examine the impact of perceived importance of spirituality or religion (ISR) and religious service attendance (RSA) on health and well-being in older Australians. METHODS: A cross-sectional survey of 752 community-dwelling men and women aged 55-85 years from the Hunter Region, New South Wales. RESULTS: Overall, 51% of participants felt spirituality or religion was important in their lives and 24% attended religious services at least 2-3 times a month. In univariate regression analyses, ISR and RSA were associated with increased levels of social support (P < 0.001). However, ISR was also associated with more comorbidities (incidence-rate ratio= 1.2, 95% confidence interval 1.08-1.33). There were no statistically significant associations between ISR or RSA and other measures such as mental and physical health. CONCLUSION: Spirituality and religious involvement have a beneficial impact on older Australians' perceptions of social support, and may enable individuals to better cope with the presence of multiple comorbidities later in life.

Prevalence of class-I, class-II and class-III obesity in Australian adults between 1995 and 2011-12

OBJECTIVE: To compare the prevalence of class-I, II and III obesity in Australian adults between 1995, 2007-08 and 2011-12. METHODS: Prevalence data for adults (aged 18+ years) were sourced from customised data from the nationally representative National Nutrition Survey (1995), the National Health Survey (2007-08), and the Australian Health Survey (2011-12) conducted by the Australian Bureau of Statistics. Obesity classifications were based on measured height and weight (class-I body mass index: 30.0-34.9kg/m(2), class-II: 35.0-39.9kg/m(2) and class-III: ≥40.0kg/m(2)). Severe obesity was defined as class-II or class-III obesity. RESULTS: Between 1995 and 2011-12, the prevalence of obesity (all classes combined) increased from 19.1% to 27.2%. During this 17 year period, relative increases in class I, II and III obesity were 1.3, 1.7 and 2.2-fold respectively. In 2011-12, the prevalence of class I, II and III obesity was 19.4, 5.9 and 2.0 per cent respectively in men, and 16.1, 6.9 and 4.2 per cent respectively in women. One in every ten people was severely obese, increasing from one in twenty in 1995, and women were disproportionally represented in this population. Obesity prevalence increased with increasing levels of area-level socioeconomic disadvantage, particularly for the more severely obese classes. Severe obesity affected 6.2% and 13.4% in the least and most disadvantaged quintiles respectively. CONCLUSION: Over the last two decades, there have been substantial increases in the prevalence of obesity, particularly the more severe levels of obesity. This study highlights high risk groups who warrant targeted weight gain prevention interventions.

They are working every angle. A qualitative study of Australian adults' attitudes towards, and interactions with, gambling industry marketing strategies

As gambling products have diversified so too have the ways in which the gambling industry has been able to target, reach and engage different sectors of the community. Limited research has explored the ways in which individuals conceptualize and respond to gambling marketing strategies. Semi-structured, qualitative interviews were conducted with 100 adults in Victoria, Australia, who had gambled at least once during the previous year. Participants described the multi-layered ways in which gambling was marketed and were concerned about the role of marketing in ‘normalizing’ gambling for some groups. Male participants felt ‘bombarded’ and ‘targeted’ by sports bet marketing. Most women and older men actively resisted gambling marketing strategies. Older women, younger men, moderate and high risk gamblers and those from low socio-economic backgrounds were particularly influenced by incentivization to gambling. This study highlights the complex ways in which different individuals interpret and respond to gambling industry marketing strategies.

Role of dietary pattern analysis in determining cognitive status in elderly Australian adults

Principal Component Analysis (PCA) was used to determine the association between dietary patterns and cognitive function and to examine how classification systems based on food groups and food items affect levels of association between diet and cognitive function. The present study focuses on the older segment of the Australian Diabetes, Obesity and Lifestyle Study (AusDiab) sample (age 60+) that completed the food frequency questionnaire at Wave 1 (1999/2000) and the mini-mental state examination and tests of memory, verbal ability and processing speed at Wave 3 (2012). Three methods were used in order to classify these foods before applying PCA. In the first instance, the 101 individual food items asked about in the questionnaire were used (no categorisation). In the second and third instances, foods were combined and reduced to 32 and 20 food groups, respectively, based on nutrient content and culinary usage—a method employed in several other published studies for PCA. Logistic regression analysis and generalized linear modelling was used to analyse the relationship between PCA-derived dietary patterns and cognitive outcome. Broader food group classifications resulted in a greater proportion of food use variance in the sample being explained (use of 101 individual foods explained 23.22% of total food use, while use of 32 and 20 food groups explained 29.74% and 30.74% of total variance in food use in the sample, respectively). Three dietary patterns were found to be associated with decreased odds of cognitive impairment (CI). Dietary patterns derived from 101 individual food items showed that for every one unit increase in ((Fruit and Vegetable Pattern: p = 0.030, OR 1.061, confidence interval: 1.006–1.118); (Fish, Legumes and Vegetable Pattern: p = 0.040, OR 1.032, confidence interval: 1.001–1.064); (Dairy, Cereal and Eggs Pattern: p = 0.003, OR 1.020, confidence interval: 1.007–1.033)), the odds of cognitive impairment decreased. Different results were observed when the effect of dietary patterns on memory, processing speed and vocabulary were examined. Complex patterns of associations between dietary factors and cognition were evident, with the most consistent finding being the protective effects of high vegetable and plant-based food item consumption and negative effects of ‘Western’ patterns on cognition. Further long-term studies and investigation of the best methods for dietary measurement are needed to better understand diet-disease relationships in this age group.

Trends in the skewness of the body mass index distribution among urban Australian adults, 1980 to 2007

Purpose We analyzed the changes in the body mass index (BMI) distribution for urban Australian adults between 1980 and 2007.

Methods We used data from participants of six consecutive Australian nation-wide surveys with measured weight and height between 1980 and 2007. We used quantile regression to estimate mean BMI (for percentiles of BMI) and prevalence of severe obesity, modeled by natural splines in age, date of birth, and survey date.

Results Since 1980, the right skew in the BMI distribution for Australian adults has increased greatly for men and women, driven by increases in skew associated with age and birth cohort/period. Between 1980 and 2007, the average 5-year increase in BMI was 1 kg/m2 (0.8) for the 95th percentile of BMI in women (men). The increase in the median was about a third of this, and for the 10th percentile, a fifth of this. We estimated that for the cohort born in 1960 around 31% of men and women were obese by age 50 years compared with 11% of the 1930 birth cohort.

Conclusions There have been large increases in the right skew of the BMI distribution for urban Australian adults between 1980 and 2007, and birth cohort effects suggests similar increases are likely to continue.

Age-specific changes in BMI and BMI distribution among Australian adults using cross-sectional surveys from 1980 to 2008

Background: Research efforts have focused mainly on trends in obesity among populations, or changes in mean body mass index (BMI), without consideration of changes in BMI across the BMI spectrum. Examination of age-specific changes in BMI distribution may reveal patterns that are relevant to targeting of interventions.

Methods: Using a synthetic cohort approach (which matches members of cross-sectional surveys by birth year) we estimated population representative annual BMI change across two time periods (1980 to 1989 and 1995 to 2008) by age, sex, socioeconomic position and quantiles of BMI. Our study population was a total of 27 349 participants from four nationally representative Australian health surveys; Risk Factor Prevalence Study surveys (1980 and 1989), the 1995 National Nutrition Survey and the 2007/8 National Health Survey.

Results: We found greater mean BMI increases in younger people, in those already overweight and in those with lower education. For men, age-specific mean annual BMI change was very similar in the 1980s and the early 2000s (P=0.39), but there was a recent slowing down of annual BMI gain for older women in the 2000s compared with their same-age counterparts in the 1980s (P<0.05). BMI change was not uniform across the BMI distribution, with different patterns by age and sex in different periods. Young adults had much greater BMI gain at higher BMI quantiles, thus adding to the increased right skew in BMI, whereas BMI gain for older populations was more even across the BMI distribution.

Conclusions: The synthetic cohort technique provided useful information from serial cross-sectional survey data. The quantification of annual BMI change has contributed to an understanding of the epidemiology of obesity progression and identified key target groups for policy attention—young adults, those who are already overweight and those of lower socioeconomic status.