Biomedical health profiles of unpaid family carers in an urban population in South Australia.

OBJECTIVES: To compare the biomedical health profile and morbidity of adult carers with non-carers. METHODS: The North West Adelaide Health Study (NWAHS) is a representative population-based longitudinal biomedical cohort study of 4056 participants aged 18 years and over at Stage One. Informal (unpaid) carers were identified in Stage 3 of the project (2008-2010). Risk factors, chronic medical conditions and biomedical, health and demographic characteristics using self-report and blood measured variables were assessed. Data were collected through clinic visits, telephone interviews and self-completed questionnaires. Risk factors included blood pressure, cholesterol/lipids, body mass index (BMI), smoking and alcohol intake. Chronic medical conditions included cardiovascular and respiratory diseases, diabetes, and musculoskeletal conditions. Blood measured variables were routine haematology, biochemistry, Vitamin D, and the inflammatory biomarkers high sensitivity C-Reactive Protein (hs-CRP), Tumor Necrosis Factor alpha (TNFα) and Interleukin-6 (Il-6). RESULTS: The prevalence of carers aged 40 years and over was 10.7%, n = 191. Carers aged 40 years and over were more likely to assess their health status as fair/poor and report having diabetes, arthritis, anxiety and depression. They also reported insufficient exercise and were found to have higher BMI compared with non-carers. Significant findings from blood measured variables were lower serum Vitamin D and haemoglobin. Male carers had raised diastolic blood pressure, higher blood glucose, lower haemoglobin and albumin levels and slightly elevated levels of the inflammatory biomarkers TNFα and hs-CRP. DISCUSSION AND CONCLUSIONS: This study confirms informal carers had different biomedical profiles to non-carers that included some chronic physical illnesses. It identifies that both female and male carers showed a number of risk factors which need to be considered in future caregiver research, clinical guidelines and policy development regarding carer morbidity.

Differences in risk factors and chronic conditions between informal (family) carers and non-carers using a population-based cross-sectional survey in South Australia.

BACKGROUND: There is growing discussion on the impact of informal caregiving on the health status and morbidity of family carers. Evidence suggests a proportion of carers may be at risk of poor health outcomes. However, there are limited population-based studies that provide representative data on specific risk factors among carers (eg, blood pressure, cholesterol, smoking status, activity and body mass index) and major chronic conditions (eg, asthma, diabetes and arthritis). This study aimed to redress that imbalance. METHOD: Self-reported data were from the South Australian Monitoring and Surveillance System (SAMSS), a representative cross-sectional state-wide population-based survey of 600 randomly selected persons per month. SAMSS uses computer-assisted telephone interviewing (CATI) to monitor chronic health-related problems and risk factors and to assess health outcomes. In total, 2247 family carers were identified from 35 195 participants aged 16 years and older for the 5-year period from 2010 to 2015. Logistic regression analyses examined associations of being a carer with self-reported chronic diseases and health risk factors. In addition, the population attributable risk (PAR) of being a carer was examined for selected chronic conditions. RESULTS: The prevalence of carers was 6.4%, and peak age group for carers was 50-59 years. Adjusted ORs for chronic conditions in carers were significant for all chronic conditions examined. Although there is a high prevalence of self-reported risk factors and chronic conditions among carers compared with non-carers at the population level, PAR findings suggest that caregiving is associated with a small to moderate increased risk of having these chronic conditions. CONCLUSIONS: Monitoring of carer health and morbidity particularly 'at risk' individuals such as female carers with asthma or diabetes remains important and provides an ongoing baseline for future surveys. To achieve this, caregiver-based studies need to become part of mainstream biomedical research at both epidemiological and clinical levels.

SSRI antidepressant use potentiates weight gain in the context of unhealthy lifestyles: results from a 4-year Australian follow-up study.

OBJECTIVE: To examine the association between antidepressant use and weight gain, as well as the interaction with lifestyle factors. DESIGN: Longitudinal study. SETTING AND PARTICIPANTS: We used data from 2334 adults from two stages (4.4 years apart) of the North West Adelaide Health Study, including validated diet and lifestyle questionnaires, measured body weight and linked pharmaceutical prescription data. MAIN OUTCOME MEASURES: Body weight change. RESULTS: 188 (8.1%) participants had a mean annual number of 1-2 antidepressant prescriptions, and 212 (9.1%) had over two prescriptions. The mean annual weight gain was 0.12, 0.18 and 0.28 kg in non-users, low (1-2 prescriptions/year) and high (>2 prescriptions/year) antidepressant users, respectively. In multivariable regression models, antidepressant use was positively associated with weight gain: high antidepressant users gained an extra 0.22 (95% CI 0.00 to 0.44) kg per year. This association was mainly due to selective serotonin reuptake inhibitor (SSRI) use. High SSRI users gained 0.48 (95% CI 0.20 to 0.76) kg more than non-users. There was no association between tricyclic or other antidepressant use and weight gain. The association between SSRI use and weight gain was stronger among those with high intake of Western diet, greater sedentary activity, and who smoked. CONCLUSIONS: SSRIs use was associated with weight gain in the presence of unhealthy behaviours including Western diet, sedentarism and smoking.

The burden of cancer attributable to modifiable risk factors: the Australian cancer-PAF cohort consortium.

PURPOSE: To estimate the Australian cancer burden attributable to lifestyle-related risk factors and their combinations using a novel population attributable fraction (PAF) method that accounts for competing risk of death, risk factor interdependence and statistical uncertainty. PARTICIPANTS: 365 173 adults from seven Australian cohort studies. We linked pooled harmonised individual participant cohort data with population-based cancer and death registries to estimate exposure-cancer and exposure-death associations. Current Australian exposure prevalence was estimated from representative external sources. To illustrate the utility of the new PAF method, we calculated fractions of cancers causally related to body fatness or both tobacco and alcohol consumption avoidable in the next 10 years by risk factor modifications, comparing them with fractions produced by traditional PAF methods. FINDINGS TO DATE: Over 10 years of follow-up, we observed 27 483 incident cancers and 22 078 deaths. Of cancers related to body fatness (n=9258), 13% (95% CI 11% to 16%) could be avoided if those currently overweight or obese had body mass index of 18.5-24.9 kg/m2. Of cancers causally related to both tobacco and alcohol (n=4283), current or former smoking explains 13% (11% to 16%) and consuming more than two alcoholic drinks per day explains 6% (5% to 8%). The two factors combined explain 16% (13% to 19%): 26% (21% to 30%) in men and 8% (4% to 11%) in women. Corresponding estimates using the traditional PAF method were 20%, 31% and 10%. Our PAF estimates translate to 74 000 avoidable body fatness-related cancers and 40 000 avoidable tobacco- and alcohol-related cancers in Australia over the next 10 years (2017-2026). Traditional PAF methods not accounting for competing risk of death and interdependence of risk factors may overestimate PAFs and avoidable cancers. FUTURE PLANS: We will rank the most important causal factors and their combinations for a spectrum of cancers and inform cancer control activities.

Influencing Cancer Screening Participation Rates-Providing a Combined Cancer Screening Program (a 'One Stop' Shop) Could Be a Potential Answer.

INTRODUCTION: Participation in established cancer screening programs remains variable. Therefore, a renewed focus on how to increase screening uptake, including addressing structural barriers such as time, travel, and cost is needed. One approach could be the provision of combined cancer screening, where multiple screening tests are provided at the same time and location (essentially a 'One Stop' screening shop). This cohort study explored both cancer screening behavior and the acceptability of a combined screening approach. METHODS: Participants of the North Western Adelaide Health Study (NWAHS), South Australia were invited to participate in a questionnaire about cancer screening behaviors and the acceptability of a proposed 'One Stop' cancer screening shop. Data were collected from 10th August 2015 to 18th January 2016, weighted for selection probability, age, and sex and analyzed using descriptive and multivariable logistic regression analysis. RESULTS: 1,562 people, 52% female (mean age 54.1 years ± 15.2) participated. Reported screening participation was low, the highest being for Pap Smear (34.4%). Common reasons for screening participation were preventing sickness (56.1%, CI 53.2-59.0%), maintaining health (51%, CI 48-53.9%), and free program provision (30.9%, CI 28.2-33.6%). Females were less likely to state that screening is not beneficial [OR 0.37 (CI 0.21-0.66), p < 0.001] and to cite sickness prevention [OR 2.10 (CI 1.46-3.00), p < 0.001] and free program [OR 1.75 (CI 1.22-2.51), p < 0.003] as reasons for screening participation. Of those who did not participate, 34.6% (CI 30.3-39.1%) stated that there was nothing that discouraged them from participation, with 55- to 64-year olds [OR 0.24 (CI 0.07-0.74), p < 0.04] being less likely to cite this reason. 21% (CI 17.2-24.8%) thought they did not need screening, while a smaller proportion stated not having time (6.9%, CI 4.9-9.7%) and the costs associated with screening (5.2%, CI 3.5-7.7%). The majority of participants (85.3%, CI 81.9-88.2%) supported multiple screening being offered at the same time and location. CONCLUSION: Identified screening behaviors in this study are similar to those reported in the literature. The high support for the concept of combined cancer screening demonstrates that this type of approach is acceptable to potential end users and warrants further investigation.

Vitamin D levels in an Australian population.

BACKGROUND: Levels of vitamin D in the population have come under increasing scrutiny, however there are only a few studies in Australia which measure levels in the general population. The aim of this study was to measure the levels of vitamin D within a large population cohort and examine the association with seasons and selected demographic and health risk factors. METHODS: A longitudinal cohort study of 2413 participants in the northwest suburbs of Adelaide, South Australia conducted between 2008 and 2010 was used to examine serum levels of 25-hydroxy vitamin D (25(OH)D) in relation to demographic characteristics (age, sex, income, education and country of birth), seasons, the use of vitamin D supplements and selected health risk factors (physical activity, body mass index and smoking). Both unadjusted and adjusted mean levels of serum 25(OH)D were examined, as were the factors associated with the unadjusted and adjusted prevalence of serum 25(OH)D levels below 50 and 75 nmol/L. RESULTS: Overall, the mean level of serum 25(OH)D was 69.2 nmol/L with 22.7% of the population having a serum 25(OH)D level below 50 nmol/L, the level which is generally recognised as vitamin D deficiency. There were significantly higher levels of 25(OH)D among males compared to females (t = 4.65, p < 0.001). Higher levels of 25(OH)D were also measured in summer and autumn compared with winter and spring. Generally, mean levels of 25(OH)D were lower in those classified as obese. Smokers and those undertaking no or less than 150 minutes/week of physical activity also had lower levels of serum vitamin D. Obesity (as classified by body mass index), season and undertaking an insufficient level of physical activity to obtain a health benefit were significantly associated with the prevalence of vitamin D deficiency. CONCLUSIONS: Vitamin D deficiency is prevalent in South Australia, affecting almost one quarter of the population and levels are related to activity, obesity and season even when adjusted for confounding factors. Improved methods of addressing vitamin D levels in population are required.

A survey to assist in targeting the adults who undertake risky behaviours, know their health behaviours are not optimal and who acknowledge being worried about their health.

BACKGROUND: Research indicates that those who are worried about their health are more likely to change their in-appropriate behavioural-related risk factors. A national survey was undertaken to determine adults who correctly perceive and actually undertake in-appropriate behavioural-related risk factors (smoking, physical activity, alcohol intake, fruit and vegetable consumption, weight and psychological distress) and are worried about their health. METHODS: Australian 2010 CATI survey of 3003 randomly selected adults. Perception and self-reported levels of each risk factor, and whether they worried that the level was affecting their health were assessed using univariate and multivariate analyses. RESULTS: The comparisons between perception of healthy behaviour and actual behaviour varied for each risk factor with 44.1% of people in the un-healthy weight range and 72.9% of those eating less than sufficient fruit and vegetables having the perception that their behaviour was healthy. The demographic and other related variables in the multivariate analyse for each risk factor varied considerably. For example the variables in the final multivariate model for smokers who were worried about their risk factor were markedly different to the other risk factor models and 45 to 54 year olds were more likely to be included in the final models for nearly all of the risk factor analyses. CONCLUSION: By limiting this analyses to those who are acknowledging (correctly or otherwise) that their perception of behaviour is making their health worse, this study has shown that the profile for each risk factor varies considerably. As such, evidence suggests specific targeted programs are required rather than a broad brush approach.

Learning from an epidemiological, population-based study on prescribed medicine use in adults.

OBJECTIVE: The aim of this study was to examine changes in the prevalence of use of prescribed medicines in Australian community samples. STUDY DESIGN AND SETTING: In this study, face-to-face interviews were carried out with random, representative samples of South Australian adults, aged ≥15 years. Data on self-reported use of prescribed medicines, most commonly reported categories of prescribed medicines and use of multiple medicines for common body systems were collected. It was not possible to distinguish between medicines prescribed for acute and chronic use. RESULTS: A total of 3015 respondents were interviewed in 2004 and 3034 in 2008, representing participation rates of 76% and 73%. There was no significant increase in the prevalence of use of ≥1 (46.8% vs 47.3%, p = 0.6) or ≥6 medicines (5.7% vs 5.5%, p = 0.7). In both years, the use of medicines was higher in women (56.7% vs 57.5%). On subgroup analyses, a significant reduction in the use of medicines was observed in respondents aged 15-24 (25.0% vs 18.5%, p = 0.01) and ≥65 years (87.7% vs 82.5%, p = 0.01), whereas use in those aged 35-44 years increased significantly (26.4% vs 33.6%, p = 0.01). The number of cardiovascular system agents (23.1% vs 24.6%, p = 0.20) and psychotropic medicines (9.8% vs 10.6%, p = 0.35) used by respondents remained unchanged while use of respiratory (7.2% vs 5.7%, p = 0.01) and musculoskeletal system medicines (8.7% vs 5.6% p= < 0.001) decreased significantly. CONCLUSIONS: In presenting what we believe is the first Australian population-based study to compare changes in prescribed medicines across the adult age spectrum, we highlight some key questions to ensure the quality use of medicines. Our findings identify a need to discuss de-prescribing, monitor practices to minimise adverse events and challenge if consumers and prescribers need to consider the costs to governments of medicines.

Multimorbidity - not just an older person's issue. Results from an Australian biomedical study.

BACKGROUND: Multimorbidity, the simultaneous occurrence of two or more chronic conditions, is usually associated with older persons. This research assessed multimorbidity across a range of ages so that planners are informed and appropriate prevention programs, management strategies and health service/health care planning can be implemented. METHODS: Multimorbidity was assessed across three age groups from data collected in a major biomedical cohort study (North West Adelaide Health Study). Using randomly selected adults, diabetes, asthma, and chronic obstructive pulmonary disease were determined clinically and cardio-vascular disease, osteoporosis, arthritis and mental health by self-report (ever been told by a doctor). A range of demographic, social, risk and protective factors including high blood pressure and high cholesterol (assessed bio-medically), health service use, quality of life and medication use (linked to government records) were included in the multivariate modelling. RESULTS: Overall 4.4% of the 20-39 year age group, 15.0% of the 40-59 age group and 39.2% of those aged 60 years of age or older had multimorbidity (17.1% of the total). Of those with multimorbidity, 42.1% were aged less than 60 years of age. A variety of variables were included in the final logistic regression models for the three age groups including family structure, marital status, education attainment, country of birth, smoking status, obesity measurements, medication use, health service utilisation and overall health status. CONCLUSIONS: Multimorbidity is not just associated with older persons and flexible care management support systems, appropriate guidelines and care-coordination programs are required across a broader age range. Issues such as health literacy and polypharamacy are also important considerations. Future research is required into assessing multimorbidity across the life course, prevention of complications and assessment of appropriate self-care strategies.

Self-reported adverse events in health care that cause harm: a population-based survey.

OBJECTIVES: To identify the incidence of self-reported harmful adverse events in the health care of community-dwelling adults, and to examine attitudes about safety in the health system. DESIGN: Cross-sectional, population-based survey. PARTICIPANTS AND SETTING: Analysis of data from 3522 adults participating in Stage 2 of the North West Adelaide Health Study, who were surveyed in 2004 and 2005. MAIN OUTCOME MEASURES: Self-reported adverse events causing harm in the past year; attitudes to safety in health care, including adequacy of current measures for preventing adverse events, and the effect of groups like patients themselves, doctors and governments on patient safety. RESULTS: The annual incidence of self-reported harmful adverse events was 4.2%. The main types were medication error (45.5%) and misdiagnosis or wrong treatment (25.6%). Multiple logistic regression showed that self-reported harmful adverse events were more likely in people who had been hospitalised in the past 12 months (odds ratio [OR], 2.5; 95% CI, 1.9-3.4), those who had low annual income (< $12 000), those who completed higher education to the level of Bachelor degree or higher (OR, 3.0; 95% CI, 1.0-9.4), and those who had some level of dissatisfaction with their recent health care; and less likely in those more risk-averse rather than those with a tendency to risk-taking behaviour (OR, 0.6; 95% CI, 0.4-0.9). People were more likely to believe that individual health care professionals had a positive effect on safety than professional groups or government, and that more resources were the key to improving the safety of health care. CONCLUSION: We found an incidence of self-reported harmful adverse events that was significantly lower than that found by a 2002 Australian survey (4.2% v 6.5%; P = 0.009). Better communication to help patients acquire more realistic risk perception may help reduce harm. Better communication could also increase public advocacy for systems improvement in safety to counter persisting community beliefs that individual action alone can redress the situation.

The North West Adelaide Health Study: detailed methods and baseline segmentation of a cohort for selected chronic diseases.

The North West Adelaide Health Study is a population-based biomedical cohort study investigating the prevalence of a number of chronic conditions and health-related risk factors along a continuum. This methodology may assist with evidence-based decisions for health policy makers and planners, and inform health professionals who are involved in chronic disease prevention and management, by providing a better description of people at risk of developing or already diagnosed with selected chronic conditions for more accurate targeting groups for health gain and improved health outcomes. Longitudinal data will provide information on progression of chronic conditions and allow description of those who move forward and back along the continuum over time. Detailed methods are provided regarding the random recruitment and examination of a representative sample of participants (n = 4060), including the rationale for various processes and valuable lessons learnt. Self-reported and biomedical data were obtained on risk factors (smoking, alcohol consumption, physical activity, family history, body mass index, blood pressure, cholesterol) and chronic conditions (asthma, chronic obstructive pulmonary disease, diabetes) to classify participants according to their status along a continuum. Segmenting this population sample along a continuum showed that 71.5% had at least one risk factor for developing asthma, chronic obstructive pulmonary disease or diabetes. Almost one-fifth (18.8%) had been previously diagnosed with at least one of these chronic conditions, and an additional 3.9% had at least one of these conditions but had not been diagnosed. This paper provides a novel opportunity to examine how a cohort study was born. It presents detailed methodology behind the selection, recruitment and examination of a cohort and how participants with selected chronic conditions can be segmented along a continuum that may assist with health promotion and health services planning.

Are socio-economically disadvantaged Australians making more or less use of the Enhanced Primary Care Medicare Benefit Schedule item numbers?

We aimed to examine the relationship between levels of socio-economic disadvantage (measured by the Socio Economic Indexes for Areas [SEIFA] used by the Australian Bureau of Statistics) and uptake of the Enhanced Primary Care (EPC) item numbers on the Medicare Benefits Schedule. Health services are often less likely to reach those that most need them and so it is important to monitor whether disadvantaged communities are accessing EPC The rates of health assessments, care plans and case conferences are similar in each SEIFA quartile (from advantaged to disadvantaged populations), favouring the more disadvantaged quartiles in some cases. These national trends are not observed in each state and territory. For all EPC services combined, the lowest number of doctors that provide EPC services are found in the 2 most disadvantaged quartiles, yet more EPC services are provided in these quartiles, due to the higher mean and median number of services provided by general practitioners in these quartiles. Overall, populations living in the most disadvantaged quartiles have similar or higher levels of EPC uptake, apparently due, at least in part, to greater than average use of EPC services by general practitioners in these areas.

Uptake of health assessments, care plans and case conferences by general practitioners through the Enhanced Primary Care program between November 1999 and October 2001.

We aimed to describe the uptake of the Enhanced Primary Care (EPC) item numbers listed on the Medicare Benefits Schedule for health assessment (HA), care plan (CP) and case conference (CC) between November 1999 (when these items first became available) and October 2001. We used data provided by the Commonwealth Department of Health and Ageing. General practitioners rendered 371,409 EPC services in all. Most services were HA (225,353; 61%), most of the remainder were CP (134,688; 36%), and CC comprised the rest (11,368; 3%). The number of HA done increased steadily and has stabilised at around 13,000 HA per month. Most CP done (80%) were in the community and with the GP preparing the plan. From a slow start, the number of CP done increased rapidly in 2001 to about 15,000 per month. There has been a slow and steady increase in the number of CC done each month, reaching 8-900 per month. Uptake of the EPC item numbers in the first two years of their availability has been rapid and has reached substantial levels, especially for HA and CP. The uptake of CC has been slower.