Background The most common eating disorders (EDs) are bulimia nervosa (BN) and binge eating disorder (BED), serious psychiatric illnesses that have devastating effects on the physical and psychological wellbeing of sufferers. EDs range in complexity and severity but can be life-threatening without appropriate treatment. Although it is well-known that quality of life impacts is high for ED sufferers, research regarding fiscal and related costs is severely limited. The aim of this study was to understand economic and other costs of EDs at the community level. Method Data were derived from 2017 household community representative structured interview of 2977 people aged ⩾ 15 years in South Australia. ED diagnoses, health systems, productivity, transaction, out-of-pocket expenses and other related costs of BN and BED were used to estimate the economic burden of EDs in South Australia. Results The annual total economic cost of EDs in 2018 was estimated at $84 billion for South Australia. This included $81 billion from the burden of disease as the result of years lived with disability (YLD) ($62 billion) and years of life lost ($19 billion). The health system costs, productivity and tax revenue loss to the Australian economy were estimated at $1 billion, $1.6 billion and $0.6 billion, respectively. Conclusions The YLD average cost in 2018 in South Australia was $296 649 per person. This is two-thirds of the costs borne by individuals and the wider economy. Prevention and management initiatives for EDs need to take into account these costs when assessing their potential benefits.

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BackgroundSaudi Arabia is the fifth largest consumer of calories from sugar-sweetened beverages (SSBs) in the world. However, there is a knowledge gap to understand factors that could potentially impact SSB consumption in Saudi Arabia. This study is aimed to examine the determinants of SSBs in Saudi Arabia.MethodsThe participants of this study were from the Saudi Health Interview Survey (SHIS) of 2013, recruited from all regions of Saudi Arabia. Data of a total of 10,118 survey respondents were utilized in this study who were aged 15 years and older. Our study used two binary outcome variables: weekly SSB consumption (no vs. any amount) and daily SSB consumption (non-daily vs. daily). After adjusting for survey weights, multivariate logistic regression models were applied to assess the association of SSB consumption and study variables.ResultsAbout 71% of the respondents consumed SSB at least one time weekly. The higher likelihood of SSB consumption was reported among men, young age group (25–34 years), people with lower income (<3,000 SR), current smokers, frequent fast-food consumers, and individuals watching television for longer hours (≥4 h). Daily vegetable intake reduced the likelihood of SSB consumption by more than one-third.ConclusionsThree out of four individuals aged 15 years and over in Saudi Arabia consume SSB at least one time weekly. A better understanding of the relationship between SSB consumption and demographic, socioeconomic, and behavioral factors is necessary for the reduction of SSB consumption. The findings of this study have established essential population-based evidence to inform public health efforts to adopt effective strategies to reduce the consumption of SSB in Saudi Arabia. Interventions directed toward education on the adverse health effect associated with SSB intake are needed.

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Background Diabetes-related foot is the largest burden to the health sector compared to other diabetes-related complications in Australia, including New South Wales (NSW). Understanding of social determinants of diabetes-related foot disease has not been definitive in Australian studies. This study aimed to investigate the social determinants of diabetes-related foot disease in NSW. Methodology The first wave of the 45 and Up Study survey data was linked with NSW Admitted Patient Data Collection, Emergency Department Data Collection, and Pharmaceutical Benefits Scheme data resulting in 28,210 individuals with diabetes aged 45 years and older in NSW, Australia. Three outcome variables were used: diabetes-related foot disease (DFD), diabetic foot ulcer (DFU), and diabetic foot infection (DFI). They were classified as binary, and survey logistic regression was used to determine the association between each outcome measure and associated factors after adjusting for sampling weights. Results The prevalence of DFD, DFU and DFI were 10.8%, 5.4% and 5.2%, respectively, among people with diabetes. Multivariate analyses revealed that the common factors associated with DFD, DFU and DFI were older age (75 years or more), male, single status, background in English speaking countries, and coming from lower-income households (less than AUD 20,000 per year). Furthermore, common lifestyle and health factors associated with DFD, DFU, and DFI were low physical activity (< 150 min of moderate-to-vigorous physical activity per week), history of diabetes for over 15 years, and having cardiovascular disease. Conclusion Our study showed that about 1 in 10 adults with diabetes aged 45 years and older in NSW reported DFD. Interventions, including the provision of related health services aimed at reducing all forms of DFD in NSW, are recommended to target older individuals with a long history of diabetes, and coming from lower-income households.

Purpose Despite remarkable economic growth in the last two decades, corruption is a “way of life” in Bangladesh. The purpose of this paper is to investigate the long run relationship between economic development and corruption in Bangladesh over 1984-2013. Design/methodology/approach This study employs autoregressive distributed lag (ARDL) bounds test method to examine the long run relationship or cointegration between corruption and per capita real GDP in Bangladesh using annual time series data. International Country Risk Guide’s (ICRG) corruption index is used as the proxy to measure the degree of corruption. Findings The results of ARDL bounds test confirm that there exists a long run association between corruption and economic development in Bangladesh. Findings from the long run estimation provide evidence of negative impact of corruption on economic development. The negative value of the error correction term in the short model reinforces the existence of long run relationship. Originality/value Using multivariate time series approach, this paper contributes to corruption literature by investigating the long run relation between corruption and economic development in Bangladesh. Bangladesh would be able to accelerate its economic development further by reducing the level of corruption through institutional reforms and raising public awareness. Most importantly, government should focus on identifying and abolishing laws and programmes promoting corruption.

Diabetes-related foot disease (DFD) is a major public health concern due to the higher risks of hospitalisation. However, estimates of the prevalence of DFD in the general population are not available in Australia. This study aims to estimate the prevalence of DFD and diabetes-related lower-extremity amputation (DLEA) among people aged 45 years and over in New South Wales (NSW), Australia. The NSW 45 and Up Study baseline survey data of 267,086 persons aged 45 years and over, linked with health services’ administrative data from 2006 to 2012 were used in our study. Of these, 28,210 individuals had been diagnosed with diabetes, and our study identified 3035 individuals with DFD. The prevalence of DFD, diabetic foot ulcer (DFU), diabetic foot infection (DFI), diabetic gangrene (DG), and DLEA were 10.8% (95%CI: 10.3, 11.2), 5.4% (95% CI: 5.1, 5.8), 5.2% (95%CI: 4.9, 5.5), 0.4% (95%CI: 0.3, 0.5), and 0.9% (95%CI: 0.7, 1.0), respectively. DFD, DFU, DFI, DG, and DLEA were the most common among those who were older, born in Australia, from low-income households (<AUD 20,000), or were without private health insurance. Interventional messages to reduce all forms of DFD should target those who are from high-risk groups.

ObjectivesTo critically evaluate the cost-effectiveness of the Midwifery Initiated Oral Health-Dental Service (MIOH-DS) designed to improve oral health of pregnant Australian women. Previous efficacy and process evaluations of MIOH-DS showed positive outcomes and improvements across various measures.Design and settingThe evaluation used a cost-utility model based on the initial study design of the MIOH-DS trial in Sydney, Australia from the perspective of public healthcare provider for a duration of 3 months to 4 years.ParticipantsData were sourced from pregnant women (n=638), midwives (n=17) and dentists (n=3) involved in the MIOH trial and long-term follow-up.Cost measuresData included in analysis were the cost of the time required by midwives and dentists to deliver the intervention and the cost of dental treatment provided. Costs were measured using data on utilisation and unit price of intervention components and obtained from a micro-costing approach.Outcome measuresUtility was measured as the number of Disability Adjusted Life Years (DALYs) from health-benefit components of the intervention. Three cost-effectiveness analyses were undertaken using different comparators, thresholds and time scenarios.ResultsCompared with current practice, midwives only intervention meets the Australian threshold (A$50 000) of being cost-effective. The midwives and accessible/affordable dentists joint intervention was only ‘cost-effective’ in 6 months or beyond scenarios. When the midwife only intervention is the comparator, the midwife/dentist programme was ‘cost-effective’ in all scenarios except at 3 months scenario.ConclusionsThe midwives’ only intervention providing oral health education, assessment and referral to existing dental services was cost-effective, and represents a low cost intervention. Midwives’ and dentists’ combined interventions were cost-effective when the benefits were considered over longer periods. The findings highlight short and long term economic benefits of the programme and support the need for policymakers to consider adding an oral health component into antenatal care Australia wide.Trial registration numberACTRN12612001271897; Post-results.