Abstract The objectives of this meta-analysis were to examine the magnitude of the relative risk (RR) of developing type 2 diabetes for overweight and obese populations, compared to those with normal ...weight, and to determine causes of the variation in RR between various cohort studies. The magnitude of the RR was analyzed by combining 18 prospective cohort studies that matched defined criteria. The variance in RR between studies was explored. The overall RR of diabetes for obese persons compared to those with normal weight was 7.19, 95% CI: 5.74, 9.00 and for overweight was 2.99, 95% CI: 2.42, 3.72. The variation in RR among studies was explored and it was found that the effect of heterogeneity was highly related with sample size, method of assessment of body mass index (BMI) and method of ascertainment of type 2 diabetes. By combining only cohort studies with more than 400 cases of incident diabetes (>median), adjusted by at least three main confounding variables (age, family history of type 2 diabetes, physical activity), measured BMI, and diabetes determined by clinical diagnosis, the RR was 7.28, 95% CI: 6.47, 8.28 for obesity and 2.92, 95% CI: 2.57, 3.32 for overweight.
According to previous reports, the risk of disability as a result of diabetes varies from none to double. Disability is an important measure of health and an estimate of the risk of disability as a ...result of diabetes is crucial in view of the global diabetes epidemic. We did a systematic review and meta-analysis to estimate this risk.
We searched Ovid, Medline, Embase, Cochrane Library, and Cumulative Index to Nursing and Allied Health Literature up to Aug 8, 2012. We included studies of adults that compared the risk of disability—as measured by activities of daily living (ADL), instrumental activities of daily living (IADL), or mobility—in people with and without any type of diabetes. We excluded studies of subpopulations with specific illnesses or of people in nursing homes. From the studies, we recorded population characteristics, how diabetes was diagnosed (by doctor or self-reported), domain and definition of disability, and risk estimates for disability. We calculated pooled estimates by disability type and type of risk estimate (odds ratio OR or risk ratio RR).
Our systematic review returned 3224 results, from which 26 studies were included in our meta-analyses. Diabetes increased the risk of mobility disability (15 studies; OR 1·71, 95% CI 1·53–1·91; RR 1·51, 95% CI 1·38–1·64), of IADL disability (ten studies; OR 1·65, 95% CI 1·55–1·74), and of ADL disability (16 studies; OR 1·82, 95% CI 1·63–2·04; RR 1·82, 95% CI 1·40–2·36).
Diabetes is associated with a strong increase in the risk of physical disability. Efforts to promote healthy ageing should account for this risk through prevention and management of diabetes.
Monash University, Baker IDI Bright Sparks Foundation, Australian Postgraduate Award, VicHealth, National Health and Medical Research Council, Australian Research Council, Victorian Government.
To analyze changes by age-group in all-cause and cause-specific mortality rates from 2000-2011 in people with diabetes.
A total of 1,189,079 (7.3% with type 1 diabetes) Australians with diabetes ...registered on the National Diabetes Service Scheme between 2000 and 2011 were linked to the National Death Index. Mortality rates in the total population were age standardized to the 2001 Australian population. Mortality rates were calculated for the following age-groups: 0 to <40 years, ≥ 40 to <60 years, and ≥60 to ≤85 years. Annual mortality rates were fitted using a Poisson regression model including calendar year as a covariate and age and sex where appropriate, with Ptrend reported.
For type 1 diabetes, all-cause, cardiovascular disease (CVD), and diabetes age-standardized mortality rates (ASMRs) decreased each year by 0.61, 0.35, and 0.14 per 1,000 person-years (PY), respectively, between 2000 and 2011, Ptrend < 0.05, while cancer mortality remained unchanged. By age, significant decreases in all-cause, CVD, and diabetes mortality rates were observed in all age-groups, excluding diabetes mortality in age-group 0-40 years. For type 2 diabetes, all-cause, CVD, and diabetes ASMRs decreased per year by 0.18, 0.15, and 0.03 per 1,000 PY, respectively, Ptrend < 0.001, while cancer remained unchanged. By age, these decreases were observed in all age-groups, excluding 0-40 years, where significant increases in all-cause and cancer mortality were noted and no change was seen for CVD and diabetes mortality.
All-cause, CVD, and diabetes ASMRs in type 1 and type 2 diabetes decreased between 2000 and 2011, while cancer ASMRs remained unchanged. However, younger populations are not benefiting from the same improvements as older populations. In addition, the absence of a decline in cancer mortality warrants urgent attention.
BackgroundLow socioeconomic status (SES) is a known risk factor for cardiovascular disease (CVD) but whether its effects are comparable in women and men is unknown.MethodsPubMed MEDLINE was ...systematically searched. Studies that reported sex-specific estimates, and associated variability, of the relative risk (RR) for coronary heart disease (CHD), stroke or CVD according to a marker of SES (education, occupation, income or area of residence), for women and men were included. RRs were combined with those derived from cohort studies using individual participant data. Data were pooled using random effects meta-analyses with inverse variance weighting. Estimates of the ratio of the RRs (RRR), comparing women with men, were computed.ResultsData from 116 cohorts, over 22 million individuals, and over 1 million CVD events, suggest that lower SES is associated with increased risk of CHD, stroke and CVD in women and men. For CHD, there was a significantly greater excess risk associated with lower educational attainment in women compared with men; comparing lowest with highest levels, the age-adjusted RRR was 1.24 (95% CI 1.09 to 1.41) and the multiple-adjusted RRR was 1.34 (1.09 to 1.63). For stroke, the age-adjusted RRR was 0.93 (0.72 to 1.18), and the multiple-adjusted was RRR 0.79 (0.53 to 1.19). Corresponding results for CVD were 1.18 (1.03 to 1.36), 1.23 (1.03 to 1.48), respectively. Similar results were observed for other markers of SES for all three outcomes.ConclusionsReduction of socioeconomic inequalities in CHD and CVD outcomes might require different approaches for men and women.
A sugar-sweetened beverage (SSB) tax in Mexico has been effective in reducing consumption of SSBs, with larger decreases for low-income households. The health and financial effects across ...socioeconomic groups are important considerations for policy-makers. From a societal perspective, we assessed the potential cost-effectiveness, health gains, and financial impacts by socioeconomic position (SEP) of a 20% SSB tax for Australia.
Australia-specific price elasticities were used to predict decreases in SSB consumption for each Socio-Economic Indexes for Areas (SEIFA) quintile. Changes in body mass index (BMI) were based on SSB consumption, BMI from the Australian Health Survey 2011-12, and energy balance equations. Markov cohort models were used to estimate the health impact for the Australian population, taking into account obesity-related diseases. Health-adjusted life years (HALYs) gained, healthcare costs saved, and out-of-pocket costs were estimated for each SEIFA quintile. Loss of economic welfare was calculated as the amount of deadweight loss in excess of taxation revenue. A 20% SSB tax would lead to HALY gains of 175,300 (95% CI: 68,700; 277,800) and healthcare cost savings of AU$1,733 million (m) (95% CI: $650m; $2,744m) over the lifetime of the population, with 49.5% of the total health gains accruing to the 2 lowest quintiles. We estimated the increase in annual expenditure on SSBs to be AU$35.40/capita (0.54% of expenditure on food and non-alcoholic drinks) in the lowest SEIFA quintile, a difference of AU$3.80/capita (0.32%) compared to the highest quintile. Annual tax revenue was estimated at AU$642.9m (95% CI: $348.2m; $1,117.2m). The main limitations of this study, as with all simulation models, is that the results represent only the best estimate of a potential effect in the absence of stronger direct evidence.
This study demonstrates that from a 20% tax on SSBs, the most HALYs gained and healthcare costs saved would accrue to the most disadvantaged quintiles in Australia. Whilst those in more disadvantaged areas would pay more SSB tax, the difference between areas is small. The equity of the tax could be further improved if the tax revenue were used to fund initiatives benefiting those with greater disadvantage.
The aim of the ACE-Obesity Policy study was to assess the economic credentials of a suite of obesity prevention policies across multiple sectors and areas of governance for the Australian setting. ...The study aimed to place the cost-effectiveness results within a broad decision-making context by providing an assessment of the key considerations for policy implementation. The Assessing Cost-Effectiveness (ACE) approach to priority-setting was used. Systematic literature reviews were undertaken to assess the evidence of intervention effectiveness on body mass index and/or physical activity for selected interventions. A standardised evaluation framework was used to assess the cost-effectiveness of each intervention compared to a 'no intervention' comparator, from a limited societal perspective. A multi-state life table Markov cohort model was used to estimate the long-term health impacts (quantified as health adjusted life years (HALYs)) and health care cost-savings resulting from each intervention. In addition to the technical cost-effectiveness results, qualitative assessments of implementation considerations were undertaken. All 16 interventions evaluated were found to be cost-effective (using a willingness-to-pay threshold of AUD50,000 per HALY gained). Eleven interventions were dominant (health promoting and cost-saving). The incremental cost-effectiveness ratio for the non-dominant interventions ranged from AUD1,728 to 28,703 per HALY gained. Regulatory interventions tended to rank higher on their cost-effectiveness results, driven by lower implementation costs. However, the program-based policy interventions were generally based on higher quality evidence of intervention effectiveness. This comparative analysis of the economic credentials of obesity prevention policies for Australia indicates that there are a broad range of policies that are likely to be cost-effective, although policy options vary in strength of evidence for effectiveness, affordability, feasibility, acceptability to stakeholders, equity impact and sustainability. Implementation of these policies will require sustained co-ordination across jurisdictions and multiple government sectors in order to generate the predicted health benefits for the Australian population.
To assess current approaches to inclusion of equity in economic analysis of public health interventions and to recommend best approaches and future directions.
We conducted a systematic review of ...studies that have used socioeconomic position (SEP) in cost‐effectiveness analyses. Studies were identified using MedLine, EconLit and HEED and were evaluated based on their SEP specific inputs and methods of quantification of the health and financial inequalities.
Twenty‐nine relevant studies were identified. The majority of studies comparing two or more interventions left interpretation of the size of the health and financial inequality differences to the reader. Newer approaches include: i) use of health inequality measures to quantify health inequalities; ii) inclusion of financial impacts, such as out‐of‐pocket expenditures; and iii) use of equity weights. The challenge with these approaches is presenting results that policy makers can easily interpret.
Using CEA techniques to generate new information about the health equity implications of alternative policy options has not been widely used, but should be considered to inform future decision making.
Inclusion of equity in economic analysis would facilitate a more nuanced comparison of interventions in relation to efficiency, equity and financial impact.
Currently, an unhealthy diet is the largest modifiable factor in ill health and death globally. One of the important contributors to unhealthy diets is the pervasiveness of unhealthy food and drink ...in our daily food environments. Although efforts to build nutrition skills and education across communities are critical, they will be insufficient without substantial changes to the food environments themselves. Here, I discuss how we can improve our food environments by implementing a comprehensive, multilevel and multisetting approach. This approach needs to encompass the various policy contexts for improving population nutrition, from policy set by national governments to that introduced by local community organizations and food retailers. Clinicians can help implement and set healthy food policies across all our health-care settings, even in the absence of government action. To support a comprehensive suite of effective policies, we need to systematically develop and disseminate the evidence for the feasibility, effectiveness and sustainability of workable policies and to understand their role in the development of a healthier food system.
World-wide, health service providers are moving towards innovative models of clinical home-based care services as a key strategy to improve equity of access and quality of care. To optimise existing ...and new clinical home-based care programs, evidence informed approaches are needed that consider the complexity of the health care system across different contexts. We present a protocol for working with health services and their partners to perform rapid identification, prioritisation, and co-design of content-appropriate strategies to optimise the delivery of healthcare at home for older people in rural and regional areas. The protocol combines Systems Thinking and Implementation Science using a Consensus Mapping and Co-design (CMC) process delivered over five workshops. The protocol will be implemented with rural and regional healthcare providers to identify digital and non-digital solutions that have the potential to inform models of service delivery, improve patient experience, and optimise health outcomes. The combination of system and implementation science is a unique approach for optimising healthcare at home for older populations, especially in the rural context where need is high. This is the first protocol to integrate the use of systems and implementation science into one process and articulating these methods will help with replicating this in future practice. Results of the design phase will translate into practice through standard health service planning methods to enhance implementation and sustainability. The delivery of the protocol will include building capacity of health service workers to embed the design, implementation, and evaluation approach into normal practice. This protocol forms part of the DELIVER (Delivering Enhanced heaLthcare at home through optImising Virtual tools for oldEr people in Rural and regional Australia) Project. Funded by Australia's Medical Research Future Fund, DELIVER involves a collaboration with public health services of Western Victoria, Australia.
With their close connection to community and increasing preventive health remit, local governments are well positioned to implement policies and programs to address health inequities. Nevertheless, ...there is a lack of evidence of equity-focused policy action in this sector. We aimed to understand how local government representatives approach equity in the development and implementation of health and wellbeing policies and programs, and to identify potential enablers for strengthening an equity focus.
We conducted semi-structured interviews (June 2022-January 2023) with 29 health directorate representatives from 21 local governments in Victoria, Australia. Representatives were recruited from urban, regional and rural local government areas, with varying levels of socioeconomic position. Data was analysed inductively using Braun and Clarke's reflexive thematic analysis, informed by social determinants of health theory and a public policy decision making framework.
Local governments approach health equity in different ways including focusing on priority populations, disadvantaged geographic areas, or by targeting the upstream determinants of health, such as housing and employment. Enabling factors for more equity-oriented local government policy action included those internal to local governments: (i) having a clear conceptualisation of equity, (ii) fostering a strong equity-centric culture, and (iii) developing organisational-wide competency in health equity. External factors related to key stakeholder groups that support and/or influence local governments included: (iv) strong support from community, (v) state government leadership and legislation, and (vi) supportive local partners, networks and NGO's.
Local governments have a responsibility to implement policies and programs that improve health and reduce health inequities. Local government's capacity to leverage resources, structures, processes and relationships, internally and across sectors and community, will be key to strengthening equity-oriented local government health policies and programs.
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