Chronic disease trends due to excess body weight in Australia

Glycaemic monitoring and control among high-risk patients with type 2 diabetes in Australian general practice during COVID-19

BACKGROUND

The COVID-19 pandemic disrupted general practice worldwide, primarily due to public health measures that restricted access to care for chronic diseases, such as type 2 diabetes. These measures disproportionately affected higher risk groups with type 2 diabetes, such as older people and those with obesity. This study aims to identify factors that may have influenced the rates of compliance with testing guidelines and target glycaemic control in Australian general practice settings during the COVID-19 pandemic.

METHODS

We used a serial cross-sectional study design of patient record data from general practices representative of the Nepean Blue Mountains Local Health District between 2020 and 2022. Aggregated patient records were analysed to determine percentages of subgroups with a blood glycaemic testing interval consistent with guidelines (≥1 within 15 months) and achieving target glycaemic control (by glycated haemoglobin of ≤7%). Linear regression models were used to test the association between independent and dependent variables, and to generate regression coefficients and 95% CI, corrected for time trends.

RESULTS

Of the average 14 356 patient records per month, 55% were male, 53% had a body mass index (BMI) <30 and 55% were aged 55-74 years. Compliance to testing guidelines slightly decreased (75-73%) but was positively associated with male sex (2.5%, 95% CI 1.7%, 3.4%), BMI≥30 (9.6%, 95% CI 8.8%, 10.4%) and 55-74 years (7.5%, 95% CI 6.6%, 8.5%) and 75 years and over age groups (7.1%, 95% CI 6.2%, 7.9%). Mean percentage of patient records achieving target glycaemic control slightly increased and was negatively associated with male sex (-3.7%, 95% CI -5.2%, -2.2%), but positively associated with 55-74 years (4.5%, 95% CI 3.8%, 5.1%) and 75 years and over age groups (12.2%, 95% CI 4.5%, 20.0%). Compliance to testing guidelines increased with each additional general practice per 10 000 persons (8.4%, 95% CI 4.9%, 11.8%).

CONCLUSIONS

During the COVID-19 pandemic, people with type 2 diabetes in Australia continued to follow glycaemic testing guidelines at the same rate. In fact, there was a slight improvement in glycaemic control among all subgroups of patients, including those at higher risk. These findings are encouraging, but the longer term impact of COVID-19 on type 2 diabetes care is still unclear.

Stable Gender Gap and Similar Gender Trend in Chronic Morbidities between 1997-2015 in Adult Canary Population

There is little information about the trend of the gender gap in chronic morbidities and whether the trend of expansion occurs equally in the age and gender groups. The objectives were to examine the consistency and stability of the gender gap in the main self-reported chronic morbidities in the general population, and, likewise, to analyze the trend of major chronic morbidities between 1997 and 2015 in men and women across age groups. The data were extracted from the Canary Health Survey, which uses a probabilistic sampling in the population >16 years of age, for the years 1997 (n = 2167), 2004 (n = 4304), 2009 (n = 4542), and 2015 (n = 4560). The data for the twelve most frequent chronic morbidities were analyzed using logistic regression, estimating the annual change ratio between 1997 and 2015, adjusting for age and educational level. The interaction of age with the period (1997−2015) was examined to analyze the rate of change for each morbidity in the age groups. Musculoskeletal diseases, headaches, anxiety and depression, and peripheral vascular diseases showed a stable gender gap across observed years. High cholesterol and high blood pressure tended to a gap reduction, while heart disease, diabetes, and respiratory disease did not show a significant gender gap along the period. The trend of the main chronic morbidities increased similarly in men and women in all age groups, but significantly in women older than 60 years and in men older than 45 years. Aging explained a substantial part of the trend of increasing prevalence of the main chronic morbidities, but not totally. Factors other than age and education are driving the increase in chronic morbidity in older age groups.

Obesity and the risk of developing chronic diseases in middle-aged and older adults: Findings from an Australian longitudinal population survey, 2009-2017

Background

Overweight and obesity impose a significant health burden in Australia, predominantly the middle-aged and older adults. Studies of the association between obesity and chronic diseases are primarily based on cross-sectional data, which is insufficient to deduce a temporal relationship. Using nationally representative panel data, this study aims to investigate whether obesity is a significant risk factor for type 2 diabetes, heart diseases, asthma, arthritis, and depression in Australian middle-aged and older adults.

Methods

Longitudinal data comprising three waves (waves 9, 13 and 17) of the Household, Income and Labour Dynamics in Australia (HILDA) survey were used in this study. This study fitted longitudinal random-effect logistic regression models to estimate the between-person differences in the association between obesity and chronic diseases.

Results

The findings indicated that obesity was associated with a higher prevalence of chronic diseases among Australian middle-aged and older adults. Obese adults (Body Mass Index [BMI] ≥ 30) were at 12.76, 2.05, 1.97, 2.25, and 1.96, times of higher risks of having type 2 diabetes (OR: 12.76, CI 95%: 8.88–18.36), heart disease (OR: 2.05, CI 95%: 1.54–2.74), asthma (OR: 1.97, CI 95%: 1.49–2.62), arthritis (OR: 2.25, 95% CI: 1.90–2.68) and depression (OR: 1.96, CI 95%: 1.56–2.48), respectively, compared with healthy weight counterparts. However, the study did not find any evidence of a statistically significant association between obesity and cancer. Besides, gender stratified regression results showed that obesity is associated with a higher likelihood of asthma (OR: 2.64, 95% CI: 1.84–3.80) among female adults, but not in the case of male adults.

Conclusion

Excessive weight is strongly associated with a higher incidence of chronic disease in Australian middle-aged and older adults. This finding has clear public health implications. Health promotion programs and strategies would be helpful to meet the challenge of excessive weight gain and thus contribute to the prevention of chronic diseases.

Metabolic and Addiction Indices in Patients on Opioid Agonist Medication-Assisted Treatment: A Comparison of Buprenorphine and Methadone

Metabolic hormones stabilize brain reward and motivational circuits, whereas excessive opioid consumption counteracts this effect and may impair metabolic function. Here we addressed the role of metabolic processes in the course of the agonist medication-assisted treatment for opioid use disorder (OUD) with buprenorphine or methadone. Plasma lipids, hemoglobin A1C, body composition, the oral glucose tolerance test (oGTT) and the Sweet Taste Test (STT) were measured in buprenorphine- (n = 26) or methadone (n = 32)- treated subjects with OUD. On the whole, the subjects in both groups were overweight or obese and insulin resistant; they displayed similar oGTT and STT performance. As compared to methadone-treated subjects, those on buprenorphine had significantly lower rates of metabolic syndrome (MetS) along with better values of the high-density lipoproteins (HDL). Subjects with- vs. without MetS tended to have greater addiction severity. Correlative analyses revealed that more buprenorphine exposure duration was associated with better HDL and opioid craving values. In contrast, more methadone exposure duration was associated with worse triglycerides-, HDL-, blood pressure-, fasting glucose- and hemoglobin A1C values. Buprenorphine appears to produce beneficial HDL- and craving effects and, contrary to methadone, its role in the metabolic derangements is not obvious. Our data call for further research aimed at understanding the distinctive features of buprenorphine metabolic effects vis-à-vis those of methadone and their potential role in these drugs' unique therapeutic profiles.

Cohort Profile: Effectiveness of a 12-Month Patient-Centred Medical Home Model Versus Standard Care for Chronic Disease Management among Primary Care Patients in Sydney, Australia

Evidence suggests that patient-centred medical home (PCMH) is more effective than standard general practitioner care in improving patient outcomes in primary care. This paper reports on the design, early implementation experiences, and early findings of the 12-month PCMH model called ‘WellNet’ delivered across six primary care practices in Sydney, Australia. The WellNet study sample comprises 589 consented participants in the intervention group receiving enhanced primary care in the form of patient-tailored chronic disease management plan, improved self-management support, and regular monitoring by general practitioners (GPs) and trained clinical coordinators. The comparison group consisted of 7750 patients who were matched based on age, gender, type and number of chronic diseases who received standard GP care. Data collected include sociodemographic characteristics, clinical measures, and self-reported health assessments at baseline and 12 months. Early study findings show the mean age of the study participants was 70 years with nearly even gender distribution of males (49.7%) and females (50.3%). The most prevalent chronic diseases in descending order were circulatory system disorders (69.8%), diabetes (47.4%), musculoskeletal disorders (43.5%), respiratory diseases (28.7%), mental illness (18.8%), and cancer (13.6%). To our knowledge, the WellNet study is the first study in Australia to generate evidence on the feasibility of design, recruitment, and implementation of a comprehensive PCMH model. Lessons learned from WellNet study may inform other medical home models in Australian primary care settings.

Physical capacity outcomes in patients with severe obesity after 12 months of physician-led multidisciplinary team care: A case series from a public hospital clinical obesity service

Impaired physical capacity is common in people with severe levels of obesity. We aimed to investigate changes in physical capacity outcomes in patients with severe obesity following 12 months of physician-led multidisciplinary care from a "real world" Australian public hospital setting using a case series study design. We extracted data from medical records for all of the eligible patients referred to our clinical obesity service from 2010 to 2015 (69 of 239). We found significant (P < .05) pre-test/post-test (mean ± SD) improvements in the 6-minute walk test (6MWT) (339 ± 120 to 417 ± 112 m); 30-second sit-to-stand test (11 ± 4 to 15 ± 6 counts) and sit-and-reach test (-12 ± 13 to -8 ± 15 cm). Using linear mixed-effects models adjusting for repeated measurements over time (baseline vs 12 months) and testing for potential predictors, we found: mean 6MWT was associated with 12-month time period (56 m), body mass index (BMI, -3 m), no walking aid over 12 months (106 m) and no opioid analgesics (75 m); mean sit-to-stand was associated with 12-month time period (3 counts), age at referral (-0.2 counts), BMI (-0.2 counts), and diabetes (3 counts); and mean sit-and-reach was associated with 12-month time period (5 cm), female gender (5 cm) and total medications (-0.9 cm). Using causal mediation analysis, our results show that total exercise classes partially mediates change in walking capacity among those with cardiovascular disease. Our study shows that significant and clinically important improvements in physical capacity outcomes in patients with severe obesity can be achieved following 12 months of intensive specialist obesity services, such as ours.

A predictive model for non-completion of an intensive specialist obesity service in a public hospital: a case-control study

Background

Despite the growing evidence base supporting intensive lifestyle and medical treatments for severe obesity, patient engagement in specialist obesity services is difficult to achieve and poorly understood. To address this knowledge gap, we aimed to develop a model for predicting non-completion of a specialist multidisciplinary service for clinically severe obesity, termed the Metabolic Rehabilitation Programme (MRP).

Method

Using a case-control study design in a public hospital setting, we extracted data from medical records for all eligible patients with a body mass index (BMI) of ≥35 kg/m² with either type 2 diabetes or fatty liver disease referred to the MRP from 2010 through 2015. Non-completion status (case definition) was coded for patients whom started but dropped-out of the MRP within 12 months. Using multivariable logistic regression, we tested the following baseline predictors hypothesised in previous research: age, gender, BMI, waist circumference, residential distance from the clinic, blood pressure, obstructive sleep apnoea (OSA), current continuous positive airway pressure (CPAP) therapy, current depression/anxiety, diabetes status, and medications. We used receiver operating characteristics and area under the curve to test the performance of models.

Results

Out of the 219 eligible patient records, 78 (35.6%) non-completion cases were identified. Significant differences between non-completers versus completers were: age (47.1 versus 54.5 years, p < 0.001); residential distance from the clinic (21.8 versus 17.1 km, p = 0.018); obstructive sleep apnoea (OSA) (42.9% versus 56.7%, p = 0.050) and CPAP therapy (11.7% versus 28.4%, p = 0.005). The probability of non-completion could be independently associated with age, residential distance, and either OSA or CPAP. There was no statistically significant difference in performance between the alternate models (69.5% versus 66.4%, p = 0.57).

Conclusions

Non-completion of intensive specialist obesity management services is most common among younger patients, with fewer complex care needs, and those living further away from the clinic. Clinicians should be aware of these potential risk factors for dropping out early when managing outpatients with severe obesity, whereas policy makers might consider strategies for increasing access to specialist obesity management services.

Diabetes and anxiety symptoms: A systematic review and meta-analysis

Although some studies have been conducted on the association between diabetes and anxiety symptoms, the data on this association remain controversial. The purpose of this meta-analysis was to examine the association between diabetes and anxiety symptoms. The authors systematically searched PubMed, Scopus, and Google Scholar databases until July 2018. After the screening process, 23 studies were included in the meta-analysis. Stata-14 was used for meta-analyzing. Forest plot was calculated for the whole 23 studies and subgroups, and publication bias was also examined. Overall, diabetes was positively associated with anxiety; pooled odds ratio was equal to1.48; 95% confidence interval was 1 .27-1.74. In cross-sectional study, the result was odds ratio = 1.50; 95% confidence interval = 1.26-1.77, and in prospective-cohort study, the result was odds ratio = 1.34; 95% confidence interval = 1.21-1.49. There was small evidence of publication bias. Overall, our findings indicate that diabetes is a risk factor for anxiety symptoms. Therefore, having a healthy medical condition can be an anxiety prevention agent.

Incremental predictive value of screening for anxiety and depression beyond current type 2 diabetes risk models: a prospective cohort study

OBJECTIVES

We sought to determine whether screening for anxiety and depression, an emerging risk factor for type 2 diabetes (T2D), adds clinically meaningful information beyond current T2D risk assessment tools.

DESIGN

Prospective cohort.

PARTICIPANTS AND SETTING

The 45 and Up Study is a large-scale prospective cohort of men and women aged 45 years and over, randomly sampled from the general population of New South Wales, Australia. 51 588 participants without self-reported diabetes at baseline (2006-2009) were followed up for approximately 3 years (2010).

METHODS

T2D status was determined by self-reported doctor who diagnosed diabetes after the age of 30 years, and/or current use of metformin. Current symptoms of anxiety and/or depression were measured by the 10-item Kessler Psychological Distress Scale (K10). We determined the optimal cut-off point for K10 for predicting T2D using Tjur's R2 and tested risk models with and without the K10 using logistic regression. We assessed performance measures for the incremental value of the K10 using the area under the receiver operating characteristic (AROC), net reclassification improvement (NRI) and net benefit (NB) decision analytics with sensitivity analyses.

RESULTS

T2D developed in 1076 individuals (52.4% men). A K10 score of ≥19 (prevalence 8.97%), adjusted for age and gender, was optimal for predicting incident T2D (sensitivity 77%, specificity 53% and positive predictive value 3%; OR 1.70 (95% CI 1.41 to 2.03, P<0.001). K10 score predicted incident T2D independent of current risk models, but did not improve corresponding AROC, NRI and NB statistics. Sensitivity analyses showed that this was partially explained by the baseline model and the small effect size of the K10 that was similar compared with other risk factors.

CONCLUSIONS

Anxiety and depressing screening with the K10 adds no meaningful incremental value in addition to current T2D risk assessments. The clinical importance of anxiety and depression screening in preventing T2D requires ongoing consideration.

Population-Based Study of Changes in Arthritis Prevalence and Arthritis Risk Factors Over Time: Generational Differences and the Role of Obesity

OBJECTIVE

To investigate cohort effects in arthritis prevalence across 4 birth cohorts: World War II (born 1935-1944), older and younger baby boomers (born 1945-1954 and 1955-1964, respectively), and Generation X (born 1965-1974), and to determine whether birth cohort effects in arthritis prevalence were associated with differences in risk factors over time or period effects.

METHODS

Analysis of biannually collected data from the longitudinal Canadian National Population Health Survey, 1994-2011 (n = 8,817 at baseline). Data included self-reported arthritis diagnosed by a health professional, risk factors (years of education, household income, smoking, physical activity, sedentary behavior, body mass index [BMI]), and survey year as an indicator of period. We used hierarchical age-period-cohort analyses to compare the age trajectory of arthritis by birth cohort and to examine the contribution of changes in risk factors and period to cohort differences.

RESULTS

More recent cohorts had successively a greater prevalence of arthritis. Risk factors were significantly associated with arthritis prevalence independently of cohort differences. The effects of increasing education and income over time on potentially reducing the arthritis prevalence were almost counter-balanced by effects of increasing BMI. Significant cohort-BMI and age-BMI interactions indicated an earlier age of arthritis onset for obese individuals than those of normal weight.

CONCLUSION

Projections that only take into account the changing age structure of the population may underestimate future trends. Our understanding of the impact of BMI on arthritis is likely an underestimate. Cohort differences focus attention on the need to target arthritis management education to young and middle-aged adults.

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.

Diabetes literacy and informal social support: a qualitative study of patients at a diabetes centre

AIMS AND OBJECTIVES

To explore the resources that patients diagnosed with type 2 diabetes drew upon to manage the disease in their daily lives.

BACKGROUND

Type 2 diabetes is a disease affecting Australian adults at a rate described as an 'epidemic'. Treatment usually focuses on patient self-management, which may require daily blood sugar monitoring, oral medications or injectable therapies, and regulating diet and exercise. Health research studies of patient self-management, including those involving type 2 diabetes, have focused largely on individual-centred definitions, though a number of studies, in particular qualitative studies, have indicated the positive role of social relationships and informal social networks.

DESIGN

Exploratory, qualitative.

METHODS

The project focused on 26 patients attending a diabetes centre for clinical consultations with centre staff including doctors, diabetes educators, podiatrists and dietitians. The consultations were observed and audio recorded, followed by semi-structured, audio-recorded interviews with the patients and separate interviews with the consulting professional staff.

RESULTS

Overwhelmingly the patients drew on informal social networks of support to manage the disease. Spouses were significant, sometimes presenting with the patient as a 'team' approach to managing the disease. Sons and daughters also played a significant support role, especially interpreting during consultations and explaining health information. In some cases neighbours and also local community organisations provided informal support. Only two patients claimed not to use informal social support.

CONCLUSIONS

Informal social support in patients' self-management of type 2 diabetes was found to be an important factor to be considered by clinicians. The study suggested the need for a more deliberate or pro-active policy to involve patients' family and other informal social networks in treatment programs.

RELEVANCE TO CLINICAL PRACTICE

Clinicians may need document and incorporate informal social support in the development and implementation of patient management plans.

Do baby boomers use more healthcare services than other generations? Longitudinal trajectories of physician service use across five birth cohorts

OBJECTIVE

In light of concerns for meeting the provision of healthcare services given the large numbers of ageing baby boomers, we compared the trajectories of primary care and specialist services use across the lifecourse of 5 birth cohorts and examined factors associated with birth cohort differences.

DESIGN

Longitudinal panel.

SETTING

Canadian National Population Health Survey (1994-2011).

POPULATION

Sample of 10 186 individuals aged 20-69 years in 1994-1995 and who were from 5 birth cohorts: Generation X (Gen X; born: 1965-1974), Younger Baby Boomers (born: 1955-1964), Older Baby Boomers (born: 1945-1954), World War II (born: 1935-1944) and pre-World War II (born: 1925-1934).

MAIN OUTCOMES

Use of primary care and specialist services.

RESULTS

Although the overall pattern suggested less use of physician services by each successive recent cohort, this blinded differences in primary and specialist care use by cohort. Multilevel analyses comparing cohorts showed that Gen Xers and younger boomers, particularly those with multimorbidity, were less likely to use primary care than earlier cohorts. In contrast, specialist use was higher in recent cohorts, with Gen Xers having the highest specialist use. These increases were explained by the increasing levels of multimorbidity. Education, income, having a regular source of care, sedentary lifestyle and obesity were significantly associated with physician services use, but only partially contributed to cohort differences.

CONCLUSIONS

The findings suggest a shift from primary care to specialist care among recent cohorts, particularly for those with multimorbidity. This is of concern given policies to promote primary care services to prevent and manage chronic conditions. There is a need for policies to address important generational differences in healthcare preferences and the balance between primary and specialty care to ensure integration and coordination of healthcare delivery.

Predictive value of serum testosterone for type 2 diabetes risk assessment in men

BACKGROUND

Effective prevention of type 2 diabetes (T2D) requires early identification of high-risk individuals who might benefit from intervention. We sought to determine whether low serum testosterone, a novel risk factor for T2D in men, adds clinically meaningful information beyond current T2D risk models.

METHODS

The Men Androgen Inflammation Lifestyle Environment and Stress (MAILES) study population consists of 2563 community-dwelling men aged 35-80 years in Adelaide, Australia. Of the MAILES participants, 2038 (80.0 %) provided information at baseline (2002-2006) and follow-up (2007-2010). After excluding participants with diabetes (n = 317), underweight (n = 5), and unknown BMI status (n = 11) at baseline; and unknown diabetes status (n = 50) at follow-up; 1655 participants were followed for 5 years. T2D at baseline and follow-up was defined by self-reported diabetes, or fasting plasma glucose (FPG) ≥7.0 mmol/L (126.1 mg/dL), or glycated haemoglobin (HbA1c) ≥6.5 %, or diabetes medications. Risk models were tested using logistic regression models. Sensitivity, specificity, positive predictive values (PPV) were used to identify the optimal cut-off point for low serum testosterone for incident T2D and the area under the receiver operating characteristic (AROC) curve was used to summarise the predictive power of the model. 15.5 % of men had at least one missing predictor variable; addressed through multiple imputation.

RESULTS

The incidence rate of T2D was 8.9 % (147/1655) over a median follow-up of 4.95 years (interquartile range: 4.35-5.00). Serum testosterone level predicted incident T2D (relative risk 0.96 [95 % CI: 0.92,1.00], P = 0.032) independent of current risk models including the AUSDRISK, but did not improve corresponding AROC statistics. A cut-off point of <16 nmol/L for low serum testosterone, which classified about 43 % of men, returned equal sensitivity (61.3 % [95 % CI: 52.6,69.4]) and specificity (58.3 % [95 % CI: 55.6,60.9) for predicting T2D risk, with a PPV of 12.9 % (95 % CI: 10.4,15.8).

CONCLUSIONS

Low serum testosterone predicts an increased risk of developing T2D in men over 5 years independent of current T2D risk models applicable for use in routine clinical practice. Screening for low serum testosterone in addition to risk factors from current T2D risk assessment models or tools, including the AUSDRISK, would identify a large subgroup of distinct men who might benefit from targeted preventive interventions.

Benefits gained, benefits lost: comparing baby boomers to other generations in a longitudinal cohort study of self-rated health

POLICY POINTS: Despite beliefs that baby boomers are healthier than previous generations, we found no evidence that the health of baby boomers is substantially different from that of the previous or succeeding cohorts. The effects of increased education, higher income, and lower smoking rates on improving self-rated health were nearly counterbalanced by the adverse effect of increasing body mass index (BMI). Assumptions that baby boomers will require less health care as they age because of better education, more prosperity, and less propensity to smoke may not be realized because of increases in obesity.

CONTEXT

Baby boomers are commonly believed to be healthier than the previous generation. Using self-rated health (SRH) as an indicator of health status, this study examines the effects of age, period, and birth cohort on the trajectory of health across 4 generations: World War II (born between 1935 and 1944), older baby boomers (born between 1945 and 1954), younger baby boomers (born between 1955 and 1964), and Generation X (born between 1965 and 1974).

METHODS

We analyzed Canada's longitudinal National Population Health Survey 1994-2010 (n = 8,570 at baseline), using multilevel growth models to estimate the age trajectory of SRH by cohort, accounting for period and incorporating the influence of changes in education, household income, smoking status, and body mass index (BMI) on SRH over time.

FINDINGS

SRH worsened with increasing age in all cohorts. Cohort differences in SRH were modest (p = 0.034), but there was a significant period effect (p = 0.002). We found marked cohort effects for increasing education, income, and BMI, and decreasing smoking from the youngest to the oldest cohorts, which were much reduced (education and smoking) or removed (income and BMI) once period was taken into account. At the population level, multivariable analysis showed the benefits of increasing education and income and declines in smoking on the trajectory of improving SRH were almost counterbalanced by the effects of increasing BMI (obesity).

CONCLUSIONS

We found no evidence to support the expectation that baby boomers will age more or less healthily than previous cohorts did. We also found that increasing BMI has likely undermined improvements in health that might have otherwise occurred, with possible implications for the need for health care. Period effects had a more profound effect than birth cohort effects. This suggests that interventions to improve health, such as reducing obesity, can be targeted to the entire, or a major portion of the, population and need not single out particular birth cohorts.

A novel multidisciplinary intervention for long-term weight loss and glycaemic control in obese patients with diabetes

INTRODUCTION

Obesity and diabetes are difficult to treat in public clinics. We sought to determine the effectiveness of the Metabolic Rehabilitation Program (MRP) in achieving long-term weight loss and improving glycaemic control versus "best practice" diabetes clinic (DC) in obese patients using a retrospective cohort study.

METHODS

Patients with diabetes and BMI > 30 kg/m(2) who attended the MRP, which consisted of supervised exercise and intense allied health integration, or the DC were selected. Primary outcomes were improvements in weight and glycaemia with secondary outcomes of improvements in blood pressure and lipid profile at 12 and 30 months.

RESULTS

Baseline characteristics of both cohorts (40 MRP and 40 DC patients) were similar at baseline other than age (63 in MRP versus 68 years in DC, P = 0.002). At 12 months, MRP patients lost 7.65 ± 1.74 kg versus 1.76 ± 2.60 kg in the DC group (P < 0.0001) and 9.70 ± 2.13 kg versus 0.98 ± 2.65 kg at 30 months (P < 0.0001). Similarly, MRP patients had significant absolute reductions in %HbA1c at 30 months versus the DC group (-0.86 ± 0.31% versus 0.12% ± 0.33%, P < 0.038), with nonsignificant improvements in lipids and blood pressure in MRP patients.

CONCLUSION

Further research is needed to establish the MRP as an effective strategy for achieving sustained weight loss and improving glycaemic control in obese patients with type 2 diabetes.

Estimating population attributable fractions to quantify the health burden of obesity

PURPOSE

Obesity is a highly prevalent condition in the United States and elsewhere and is associated with increased mortality and morbidity. Here, we discuss some issues involved in quantifying the health burden of obesity using population attributable fraction (PAF) estimates and provide examples.

METHODS

We searched PubMed for articles reporting attributable fraction estimates for obesity. We reviewed eligible articles to identify methodological concerns and tabulated illustrative examples of PAF estimates for obesity relative to cancer, diabetes, cardiovascular disease, and all-cause mortality.

RESULTS

There is considerable variability among studies regarding the methods used for PAF calculation and the selection of appropriate counterfactuals. The reported estimates ranged from 5% to 15% for all-cause mortality, -0.2% to 8% for all-cancer incidence, 7% to 44% for cardiovascular disease incidence, and 3% to 83% for diabetes incidence.

CONCLUSIONS

To evaluate a given estimate, it is important to consider whether the exposure and outcome were defined similarly for the PAF and for the relative risks, whether the relative risks were suitable for the population at hand, and whether PAF was calculated using correct methods. Strong causal assumptions are not necessarily warranted. In general, PAFs for obesity may be best considered as indicators of association.

Experiences of diabetes self-management: a focus group study among Australians with type 2 diabetes

AIMS AND OBJECTIVES

The aim of this study was to explore the experiences and concerns of individuals with type 2 diabetes mellitus, in a predominantly low socio-economic setting.

BACKGROUND

Currently, approximately 1 million Australians have diabetes and rates have more than doubled since 1989. Type 2 diabetes mellitus accounts for approximately 85% of diabetes cases. Risk factors include obesity, older age, low socio-economic status, sedentary lifestyle and ethnicity. Older individuals from low socio-economic backgrounds are particularly at risk of both developing and of mismanaging their condition.

DESIGN

Exploratory qualitative design.

METHODS

Focus groups were used to collect data from 22 individuals, aged 40 to more than 70 years, with type 2 diabetes mellitus, who were attending local health services for their diabetes care. Focus groups ranged in size from four to eight individuals and all were recorded, transcribed and analysed. Data were analysed using a thematic analysis approach.

RESULTS

Participants described their experiences of managing their diabetes as emotionally, physically and socially challenging. Data analysis revealed four main themes including: (1) diabetes the silent disease; (2) a personal journey (3) the work of managing diabetes; and (4) access to resources and services. Throughout, participants highlighted the impact of diabetes on the family, and the importance of family members in providing support and encouragement to assist their self-management efforts.

CONCLUSIONS

Participants in this study were generally satisfied with their diabetes care but identified a need for clear simple instruction immediately post-diagnosis, followed by a need for additional informal information when they had gained some understanding of their condition.

RELEVANCE TO CLINICAL PRACTICE

Findings reveal a number of unmet information and support needs for individuals with type 2 diabetes mellitus. In particular, it is important for healthcare professionals and family members to recognise the significant emotional burden that diabetes imposes, and the type and quantity of information individuals with diabetes prefer. It is also important to consider levels of health literacy in the community when developing diabetes-related information or programmes.

Perturbation of mitiglinide metabolism by chronic unpredicted mild stress in rats

Many diabetic patients complicated with wild to severe depression. It is unclear in diabetic medication whether depression perturbs the drug metabolic process of the hypoglycemic agents or not. The present study was designed to investigate the impact of chronic unpredicted mild stress (CUMS) -induced depression on mitiglinide (MGN) pharmacokinetics in rats. Adult female Sprague-Dawley rats in CUMS group were subjected to different types of stressors and the stress procedures lasted for 8 weeks. Control group without receiving stress had free access to food and water. Open-field test and 5-HT levels were assayed to evaluate the depression. After CUMS all rats were given 2.5 mg/kg of mitiglinide per os. The blood samples were collected at different time and mitiglinide plasma concentration was measured by high performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS). Non-compartmental statistical moment analysis was processed with DAS software. In CMUS-induced depression group, peak concentration (Cmax), peak time (Tmax), area under curve (AUC0 → ∞), mean residence time (MRT0 → ∞), and half-life (T1/2z) were reduced while total plasma clearance (CLz/F) was increased compared to control group. These preliminary results indicated that CUMS-induced depression alter the drug metabolic process of mitiglinide in rats. This finding will be significant in clinic.

Housing type, location of residence and health status in Australian baby boomers: results from the Australian Baby Boomer (ABBA) Study

INTRODUCTION

Baby Boomers are working and living longer than their pre-war counterparts, and are more likely to live in high density urban housing. This paper examines the relationship between housing type, working status and location of residence on health status in Baby Boomers.

METHODS

We investigated location of residence and housing type in 1009 participants of the Ageing Baby Boomers in Australia (ABBA) Study to identify any predictors of, or correlations between, these variables and health status.

RESULTS

Current workers were less likely to report depression than retirees. We found a significantly higher rate of diabetes, obesity and hypertension in retirees than in current workers however rates of obesity, diabetes and hypertension were higher than predicted in current workers.

CONCLUSION

The rates of chronic disease are higher than previous estimates and provide evidence to inform health promotion programs designed to increase physical activity and improve eating habits in baby boomers.

The Australian Baby Boomer Population—Factors Influencing Changes to Health-Related Quality of Life Over Time

Objectives: Identify factors associated with changes to health-related quality of life (HRQoL) in baby boomers. Methods: Panel data were collected on baby boomers at two time points, 2000-2002 and 2004-2006. A fixed-effects model was used to identify associations between changes in the dependent variable (SF-36 summary scales) and changes in independent variables (health indicators/employment status). Results: Mental health problems, being out of labor force, sedentary behavior, and severe lung disease were associated with deterioration in physical and mental HRQoL. Obesity was associated with deterioration in physical HRQoL whereas cardiovascular disease was associated with deterioration in mental HRQoL. Unemployment, full-time employment, and absence of lung disease symptoms were associated with improvements in physical and mental HRQoL. Discussion: If we are to maximize the future labor participation, and HRQoL, of this cohort, it will be necessary to reduce obesity and sedentary behavior and to further investigate the association between health and employment.

Excess burden of type 1 and type 2 diabetes due to psychopathology

BACKGROUND

Whether the prevalence of type 1 or 2 diabetes is rising among people with psychopathology is uncertain. This study investigates changes in the prevalence of type 1 and type 2 diabetes associated with psychopathology in the adult Australian population from 2001 to 2008.

METHODS

Data analysed were from 48,359 participants aged ≥25 years from the 2001, 2004-05 or 2007-08 National Health Surveys. Lifetime diagnosis of type 1 and type 2 diabetes was determined by self-report. Psychopathology status was determined with the 10-item Kessler Psychological Distress Scale (using scores ≥30), contemporaneous use of antidepressants or anti-anxiety medications, or both.

RESULTS

Overall, the prevalence of type 1 diabetes remained stable whereas the prevalence of type 2 diabetes increased by 36% between 2001 and 2008. On average, odds ratios with 95% confidence intervals (95% CI) for type 1 and type 2 diabetes ranged from 1.43 (0.98, 2.10) to 2.44 (1.63, 3.64) and 1.32 (1.13, 1.53) to 1.67 (1.39, 2.02) for people with compared to those without psychopathology by any definition independent of socio-demographic covariates, consistently over the 8-year period. After further adjustments for lifestyle covariates, the strength of these odds ratios were attenuated and ranged from 1.32 (0.90, 1.95) to 2.24 (1.49, 3.36) and 1.16 (0.99,1.36) to 1.51 (1.24, 1.83) for type 1 and type 2 diabetes.

LIMITATIONS

Data were self-report from serial surveys.

CONCLUSIONS

The prevalence of both type 1 and type 2 diabetes was consistently higher for people with psychopathology from 2001 to 2008. Clinicians should consider routinely screening patients with diabetes for psychopathology and vice versa, as well as lifestyle risk factors, to inform practice for more effective management and prevention planning.

Common mental disorders associated with 2-year diabetes incidence: the Netherlands Study of Depression and Anxiety (NESDA)

BACKGROUND

Few prospective cohort studies describe the risk of type 2 diabetes mellitus associated with depression or anxiety. The aim of this study was to determine the 2-year diabetes incidence and pattern of explanatory factors associated with depressive and/or anxiety disorders.

METHODS

A prospective cohort of 2981 participants (aged 18-65 years, 66% women) recruited in the Netherlands Study of Depression and Anxiety (NESDA) from community, primary care and outpatient psychiatric clinics were followed-up for two years. Complete data were analyzed from 2460 participants without baseline diabetes. Lifetime or current (past 6-month) depressive and/or anxiety disorders at baseline were assessed using the Composite Interview Diagnostic Instrument (CIDI) and classified by the DSM-IV. Diabetes was classified by either self-report, medications, or fasting plasma glucose ≥ 7.0 mmol/L. Baseline covariates included age, gender, lifestyle factors, and medical conditions. Odds ratios (OR [95% confidence intervals]) for diabetes were determined using exact logistic regression.

RESULTS

The unadjusted 2-year diabetes incidence was 0.2% (1/571), 1.1% (6/548), and 1.8% (24/1340) for no, remitted, and current depressive and/or anxiety disorders, respectively. In comparison to those without psychopathology, current depressive and/or anxiety disorders was associated with diabetes incidence in unadjusted (OR 10.4 [1.7, 429.0]) and age-adjusted (OR 11.9 (1.9, 423.0]) analyses. The strength of this association (beta coefficient) was slightly changed after further adjustments for impaired fasting glucose (11.4%), high triglycerides (-7.8%), and lifestyle cumulative risk score (-5.0%), in contrast to other covariates when assessed in separate models.

LIMITATIONS

The low incidence of diabetes resulted in considerable uncertainty for the odds ratios and low statistical power that limited covariate adjustments.

CONCLUSIONS

The relative odds of developing diabetes within two years was increased for persons with current depressive and/or anxiety disorders, which was partially explained by, but remained independent of, lifestyle cumulative risk factors.

Changes in cardiovascular disease burden associated with psychopathology in Australian adults 2004-2008

OBJECTIVE

The objective was to investigate changes in self-reported cardiovascular disease (CVD) burden associated with psychopathology for Australia from 2004 to 2008.

METHOD

Data analyzed were from 32,073 participants aged ≥25 years from the 2004-2005 or 2007-2008 National Health Surveys. Lifetime diagnosis of CVD (heart attack or stroke) was by self-report. Psychopathology was determined by the 10-item Kessler Psychological Distress Scale (using scores ≥30) and use of antidepressants or antianxiety (AD/AA) medications.

RESULTS

The prevalence of CVD (4.1% to 4.5%, P=.045) had increased slightly from 2004 to 2008 for the general population, but not among those with psychopathology. On average, psychological distress only [odds ratio (OR) 2.00; 95% confidence interval, 1.52-2.62] and AD/AA medications with (OR 2.02; 1.41-2.88) and without psychological distress (OR 1.24; 1.00-1.55) were associated with increased odds of CVD over the 4-year period, independent of sociodemographic, lifestyle and chronic disease covariates. Both psychological distress only (OR 1.61; 1.15-2.25) and AD/AA medications with psychological distress (OR 1.62; 1.08-2.44) conferred higher odds of CVD than AD/AA medications without psychological distress.

CONCLUSION

In comparison to those without psychopathology, the odds of self-reported CVD were persistently higher among people with psychopathology from 2004 to 2008, particularly for psychological distress.

Trends in health-related quality of life and health service use associated with comorbid diabetes and major depression in South Australia, 1998-2008

PURPOSE

To investigate the trends in health-related quality of life and health service use associated with diabetes and/or major depression in South Australia from 1998 to 2008.

METHODS

Data analyzed were from 9,059 persons aged ≥15 years who participated in representative surveys of the South Australian population in 1998, 2004 and 2008. Major depression was determined using the mood module of the Primary Care Evaluation of Mental Disorders (PRIME-MD). Diagnosed diabetes and health service use were determined by self-report. Health-related quality of life was assessed using the 36-item Short-Form Health Survey (SF-36) and the 15-item Assessment of Quality of Life (AQoL) instruments. Socio-demographics (including mental health literacy), arthritis, asthma, osteoporosis, and obesity covariates were determined by self-report. Weighted age-standardized and multiple covariate-adjusted means of dependent measures were computed.

RESULTS

The prevalence of diabetes only, major depression only, and comorbid diabetes and major depression increased by 3.0 (74%), 2.6 (36%), and 0.4 (53%) percentage points, respectively, from 1998 to 2008. Mean health-related quality of life scores were 9 to 41% lower (worse), and health service use was 49% higher for persons with comorbid diabetes and major depression than for those with diabetes only (all P values <0.05) independent of all covariates, consistently over the 10-year period.

CONCLUSIONS

If past trends continue, our results suggest that the increased population health and economic burden of comorbid diabetes and major depression could persist over the next decade or so. These trends have important implications for making health policy and resource allocation decisions.

Changes in the prevalence of psychological distress and use of antidepressants or anti-anxiety medications associated with comorbid chronic diseases in the adult Australian population, 2001-2008

OBJECTIVE

To investigate changes in the prevalence of psychological distress and use of antidepressants or anti-anxiety medications associated with comorbid chronic diseases in the adult Australian population from 2001 to 2008.

METHODS

Participants were 48,359 adults aged ≥ 25 years from the 2001, 2004-05 or 2007-08 Australian National Health Surveys. Clinically significant psychological distress was determined with the 10-item Kessler Psychological Distress Scale (using scores ≥ 30). Contemporaneous use of antidepressants or anti-anxiety medications and the presence of chronic diseases including diabetes, cardiovascular disease, cancer, asthma and arthritis were by self-report.

RESULTS

Overall, the prevalence of psychological distress was relatively stable (3.9 vs. 3.7%) between 2001 and 2008, but increased from 5.9 to 7.0% and 4.6 to 5.0% for people with diabetes and cardiovascular disease. In contrast, the use of antidepressants or anti-anxiety medications decreased from 7.3 to 4.8% across all disease categories. On average, the odds of psychological distress and use of antidepressants or anti-anxiety medications was 1.15 to 1.59-fold and 1.10 to 1.64-fold higher, respectively, for all chronic diseases after adjustments for socio-demographic and lifestyle variables. After further adjustment for all chronic disease predictors fitted jointly, these associations decreased in strength (percentage change in the log odds ratio) by 14 to 98%. Each additional chronic disease increased the odds of both psychological distress (1.34-fold higher) and use of antidepressants or anti-anxiety medications (1.40-fold higher) in a dose-response manner.

CONCLUSIONS

Although the prevalence of psychological distress changed little for adult Australians between 2001 and 2008, it increased for people with diabetes and cardiovascular disease. Conversely, the reported use of antidepressants or anti-anxiety medications progressively decreased for people with, and without, chronic diseases. Overall, there was a persistently higher psychopathology burden associated with each and increasing number of comorbid chronic diseases.

Trends in health-related quality of life and health service use associated with body mass index and comorbid major depression in South Australia, 1998-2008

PURPOSE

To investigate 10-year trends in health-related quality of life and health service use associated with body mass index (BMI) and comorbid major depression in South Australia.

METHODS

Data were obtained from 9,059 people aged ≥ 15 years who participated in representative surveys of the South Australian population in 1998, 2004, and 2008. Major depression was determined using the mood module of the PRIME-MD. Health-related quality of life was assessed using the SF-36 and 15-item AQoL instruments.

RESULTS

Mean health-related quality-of-life scores were 8-55% lower (worse), and health service use was 58-85% higher in all unhealthy BMI groups (underweight, overweight, and obesity) with major depression than in the healthy weight group independent of all covariates (socio-demographic and chronic medical conditions), consistently over the 10-year period. In contrast, only some unhealthy BMI groups without major depression had worse SF-36 physical component scores (overweight/obesity), AQoL scores (underweight/obesity), and health service use outcomes (overweight/obesity), and by only 2-6%.

CONCLUSION

Comorbid major depression explained most of the excess health-related quality of life and health service use in people with unhealthy BMI, consistently from 1998 to 2008. Interventions and policies that can mitigate the persistent excess population health and economic burden of major depression are needed.

Diet, physical exercise and cognitive behavioral training as a combined workplace based intervention to reduce body weight and increase physical capacity in health care workers - a randomized controlled trial

BACKGROUND

Health care workers comprise a high-risk workgroup with respect to deterioration and early retirement. There is high prevalence of obesity and many of the workers are overweight. Together, these factors play a significant role in the health-related problems within this sector. The present study evaluates the effects of the first 3-months of a cluster randomized controlled lifestyle intervention among health care workers. The intervention addresses body weight, general health variables, physical capacity and musculoskeletal pain.

METHODS

98 female, overweight health care workers were cluster-randomized to an intervention group or a reference group. The intervention consisted of an individually dietary plan with an energy deficit of 1200 kcal/day (15 min/hour), strengthening exercises (15 min/hour) and cognitive behavioral training (30 min/hour) during working hours 1 hour/week. Leisure time aerobic fitness was planned for 2 hour/week. The reference group was offered monthly oral presentations. Body weight, BMI, body fat percentage (bioimpedance), waist circumference, blood pressure, musculoskeletal pain, maximal oxygen uptake (maximal bicycle test), and isometric maximal muscle strength of 3 body regions were measured before and after the intervention period.

RESULTS

In an intention-to-treat analysis from pre to post tests, the intervention group significantly reduced body weight with 3.6 kg (p < 0.001), BMI from 30.5 to 29.2 (p < 0.001), body fat percentage from 40.9 to 39.3 (p < 0.001), waist circumference from 99.7 to 95.5 cm (p < 0.001) and blood pressure from 134/85 to 127/80 mmHg (p < 0.001), with significant difference between the intervention and control group (p < 0.001) on all measures. No effect of intervention was found in musculoskeletal pain, maximal oxygen uptake and muscle strength, but on aerobic fitness.

CONCLUSION

The significantly reduced body weight, body fat, waist circumference and blood pressure as well as increased aerobic fitness in the intervention group show the great potential of workplace health promotion among this high-risk workgroup. Long-term effects of the intervention remain to be investigated.

TRIAL REGISTRATION

ClinicalTrials.gov: NCT01015716.

The health of Australian baby boomers

The large baby boomer cohort is beginning to reach retirement age. This paper reviews recent Australian literature on baby boomers' health and health behaviours. Databases were searched for peer-reviewed literature and the Internet for online studies and reports. The boomers can expect an increased life span compared to those in later life now. Boomers' health behavioural risks include physical inactivity, low vegetable consumption, obesity and rising medical risk due to increasing prevalence of diabetes. Their health will impact on workforce participation and retirement timing. There is substantial scope for health improvement and consequent quality of life as boomers age. However, little is known about health decision-making, inequalities between social groups and health information sources. Future research can yield a better understanding of the health trajectories of baby boomers in order to plan for health and service needs for an ageing Australia.

Six year weight change and type 2 diabetes among Australian Indigenous adults

AIMS

To estimate weight change over 6 years among Indigenous Australian adults and the association with incident diabetes in north Queensland.

METHODS

Baseline anthropometric measurements, behavioural factors, and blood samples were collected from 1674 Indigenous adults during 1999-2000 in 19 rural communities in north Queensland. Follow-up of 487 participants occurred during 2004-2007. Weight change was compared by age, sex, socioeconomic status, ethnicity, and behavioural factors. The association between weight change and diabetes incidence stratified by baseline BMI was studied using Cox's Proportional Hazard Model.

RESULTS

Significantly more weight was gained among younger participants (absolute interval weight gain: 12.5 kg among 15-24 year olds, 5.1 kg in 25-34 year olds, 3.4 kg in 35-44 year olds, and 1.0 kg in those over 45 years), and by those whose BMI was normal at baseline. Women were more likely than men to have substantial weight gain (43.3 vs 25.1%). Weight change was not associated with diabetes incidence but baseline obesity tripled the risk of developing diabetes (HR: 3.1, 95% CI: 1.6-6.1).

CONCLUSIONS

Indigenous Australian adults studied here showed very high levels of weight gain over a short period. Interventions aimed at maintaining healthy weight, particularly among young Indigenous people are needed.