Factors influencing the implementation of early discharge hospital at home and admission avoidance hospital at home: a qualitative evidence synthesis.

BACKGROUND: Worldwide there is an increasing demand for Hospital at Home as an alternative to hospital admission. Although there is a growing evidence base on the effectiveness and cost-effectiveness of Hospital at Home, health service managers, health professionals and policy makers require evidence on how to implement and sustain these services on a wider scale. OBJECTIVES: (1) To identify, appraise and synthesise qualitative research evidence on the factors that influence the implementation of Admission Avoidance Hospital at Home and Early Discharge Hospital at Home, from the perspective of multiple stakeholders, including policy makers, health service managers, health professionals, patients and patients' caregivers. (2) To explore how our synthesis findings relate to, and help to explain, the findings of the Cochrane intervention reviews of Admission Avoidance Hospital at Home and Early Discharge Hospital at Home services. SEARCH METHODS: We searched MEDLINE, CINAHL, Global Index Medicus and Scopus until 17 November 2022. We also applied reference checking and citation searching to identify additional studies. We searched for studies in any language. SELECTION CRITERIA: We included qualitative studies and mixed-methods studies with qualitative data collection and analysis methods examining the implementation of new or existing Hospital at Home services from the perspective of different stakeholders. DATA COLLECTION AND ANALYSIS: Two authors independently selected the studies, extracted study characteristics and intervention components, assessed the methodological limitations using the Critical Appraisal Skills Checklist (CASP) and assessed the confidence in the findings using GRADE-CERQual (Confidence in the Evidence from Reviews of Qualitative research). We applied thematic synthesis to synthesise the data across studies and identify factors that may influence the implementation of Hospital at Home. MAIN RESULTS: From 7535 records identified from database searches and one identified from citation tracking, we included 52 qualitative studies exploring the implementation of Hospital at Home services (31 Early Discharge, 16 Admission Avoidance, 5 combined services), across 13 countries and from the perspectives of 662 service-level staff (clinicians, managers), eight systems-level staff (commissioners, insurers), 900 patients and 417 caregivers. Overall, we judged 40 studies as having minor methodological concerns and we judged 12 studies as having major concerns. Main concerns included data collection methods (e.g. not reporting a topic guide), data analysis methods (e.g. insufficient data to support findings) and not reporting ethical approval. Following synthesis, we identified 12 findings graded as high (n = 10) and moderate (n = 2) confidence and classified them into four themes: (1) development of stakeholder relationships and systems prior to implementation, (2) processes, resources and skills required for safe and effective implementation, (3) acceptability and caregiver impacts, and (4) sustainability of services. AUTHORS' CONCLUSIONS: Implementing Admission Avoidance and Early Discharge Hospital at Home services requires early development of policies, stakeholder engagement, efficient admission processes, effective communication and a skilled workforce to safely and effectively implement person-centred Hospital at Home, achieve acceptance by staff who refer patients to these services and ensure sustainability. Future research should focus on lower-income country and rural settings, and the perspectives of systems-level stakeholders, and explore the potential negative impact on caregivers, especially for Admission Avoidance Hospital at Home, as this service may become increasingly utilised to manage rising visits to emergency departments.

Digital Health Literacy as a Predictor of Awareness, Engagement, and Use of a National Web-Based Personal Health Record: Population-Based Survey Study.

BACKGROUND: Web-based personal health records (PHRs) have the potential to improve the quality, accuracy, and timeliness of health care. However, the international uptake of web-based PHRs has been slow. Populations experiencing disadvantages are less likely to use web-based PHRs, potentially widening health inequities within and among countries. OBJECTIVE: With limited understanding of the predictors of community uptake and use of web-based PHR, the aim of this study was to identify the predictors of awareness, engagement, and use of the Australian national web-based PHR, My Health Record (MyHR). METHODS: A population-based survey of adult participants residing in regional Victoria, Australia, was conducted in 2018 using telephone interviews. Logistic regression, adjusted for age, was used to assess the relationship among digital health literacy, health literacy, and demographic characteristics, and the 3 dependent variables of MyHR: awareness, engagement, and use. Digital health literacy and health literacy were measured using multidimensional tools, using all 7 scales of the eHealth Literacy Questionnaire and 4 out of the 9 scales of the Health Literacy Questionnaire. RESULTS: A total of 998 responses were analyzed. Many elements of digital health literacy were strongly associated with MyHR awareness, engagement, and use. A 1-unit increase in each of the 7 eHealth Literacy Questionnaire scales was associated with a 2- to 4-fold increase in the odds of using MyHR: using technology to process health information (odds ratio [OR] 4.14, 95% CI 2.34-7.31), understanding of health concepts and language (OR 2.25, 95% CI 1.08-4.69), ability to actively engage with digital services (OR 4.44, 95% CI 2.55-7.75), feel safe and in control (OR 2.36, 95% CI 1.43-3.88), motivated to engage with digital services (OR 4.24, 95% CI 2.36-7.61), access to digital services that work (OR 2.49, 95% CI 1.32-4.69), and digital services that suit individual needs (OR 3.48, 95% CI 1.97-6.15). The Health Literacy Questionnaire scales of health care support, actively managing health, and social support were also associated with a 1- to 2-fold increase in the odds of using MyHR. Using the internet to search for health information was another strong predictor; however, older people and those with less education were less likely to use MyHR. CONCLUSIONS: This study revealed strong and consistent patterns of association between digital health literacy and the use of a web-based PHR. The results indicate potential actions for promoting PHR uptake, including improving digital technology and skill experiences that may improve digital health literacy and willingness to engage in web-based PHR. Uptake may also be improved through more responsive digital services, strengthened health care, and better social support. A holistic approach, including targeted solutions, is needed to ensure that web-based PHR can realize its full potential to help reduce health inequities.

Energy-dense, nutrient-poor food and beverage sales in Australia: where and when products are sold, and how sales are changing over time.

OBJECTIVE: To quantify sales trends for key energy-dense, nutrient-poor (EDNP) foods and beverages over 5 years in Australia. DESIGN: The Euromonitor Global Market Information Database and linear regression models were used to estimate average annual change in sales per capita of thirteen EDNP food categories and two EDNP beverage categories (defined using Australian Dietary Guidelines) over 5 years (2012-2017 for foods and 2011-2016 for beverages). The average annual change in sales was divided by the observed sales in 2012 (foods) or 2011 (beverages) to estimate the average percentage-change in sales per capita per annum. SETTING: All major retail outlets in Australia. PARTICIPANTS: Euromonitor Global Market Information Database sales data. RESULTS: Between 2012 and 2017, sales per capita per annum of frozen pizza (6 %), pastries (5 %), potato chips (crisps) (5 %), tortilla chips (3 %), chocolate confectionery (2 %), frozen processed potatoes (2 %), ice cream (2 %) and sugar confectionery (0·2 %) increased. There were no changes in sales of sweet biscuits, chocolate spreads and cakes, and sales of savoury biscuits and processed meat decreased (-2 and -1 %, respectively). Between 2011 and 2016, sales per capita per annum of sports and energy drinks increased (4 %), sales of regular (sugar-sweetened) cola (-6 %) and all non-cola soft drinks (-1 %) decreased and sales of diet cola did not change. CONCLUSIONS: Sales of EDNP foods and beverages generally increased or remained stable relative to population growth. Our results demonstrate the need for public health policies to reduce sales of EDNP foods and beverages.

Changes in waist circumference independent of weight: Implications for population level monitoring of obesity.

Population monitoring of obesity is most commonly conducted using body mass index (BMI). We test the hypothesis that because of increases in waist circumference (WC) independent of increases in weight, BMI alone detects an increasingly smaller proportion of the population with obesity. METHODS: Australian adults with measured height, weight, and WC were selected from three nationally representative cross-sectional surveys (1989, 1999-2000, 2011-12; n=8313, 5903 & 3904). Participants were defined as having obesity using classifications for an obese BMI (≥30kg·m-2) and substantially-increased-risk WC (≥88cm [women], ≥102cm [men]). Age-standardised prevalence of obesity according to BMI and/or WC, and the proportion of these detected by BMI and by WC were compared across surveys. FINDINGS: Between 1989 and 2011-12, weight and WC increased by 5.4kg and 10.7cm (women), and by 7.0kg and 7.3cm (men). For women and men, 63% and 38% of increases in WC were independent of increases in weight. Over this period, the prevalence of obesity according to BMI and/or WC increased by 25.3 percentage-points for women (18.9% to 44.3%) and 21.1 percentage-points for men (17.1% to 38.2%). The proportion of these detected by BMI decreased for women by 20 percentage-points (77% to 57%) with no change for men. The proportion of these detected by WC increased for women and men by 10 percentage-points (87% to 97%) and 6 percentage-points (85% to 91%) respectively. CONCLUSION: BMI alone is detecting a decreasing proportion of those considered obese by BMI and/or WC. Renewed discussion regarding how we monitor obesity at the population level is required.

Influence of early-life risk factors on socioeconomic inequalities in weight gain.

Background: Previous research has examined the role of early-life risk factors on childhood weight gain.The extent to which these factors drive socioeconomic differences in weight is unclear. We aimed to quantify the influence of early-life risk factors on the development of socioeconomic inequalities in children's body mass index (BMI) z-score at 10-11 years. Methods: Overall, 2186 children from the Longitudinal Study of Australian Children were examined. Socioeconomic position (SEP) was measured as a continuous composite of parent's education, occupation and income. The Product of Coefficients mediation method was used to quantify the contribution of maternal smoking during pregnancy, gestational diabetes, prematurity, caesarean section, birthweight, not being breastfed, early introduction of solid food, maternal BMI and paternal BMI to the relationship between SEP and BMI z-score. Results: Each increasing decile of SEP (higher SEP) was associated with a 0.05 unit lower (95% CI: -0.06, -0.03) BMI z-score at 10-11 years. In total, 83.5% of these differences in BMI z-score could be explained by socioeconomic differences in maternal smoking during pregnancy (26.9%), maternal BMI (39.6%) and paternal BMI (17.0%). Conclusions: Interventions to reduce socioeconomic inequalities in excess weight gain during childhood should support the attainment of a healthy parental weight and prevent smoking during pregnancy.

Are low-to-middle-income households experiencing food insecurity in Victoria, Australia? An examination of the Victorian Population Health Survey, 2006-2009.

Food insecurity affects health and wellbeing. Little is known about the relationship between food insecurity across income levels. This study aims to investigate the prevalence and frequency of food insecurity in low-to-middle-income Victorian households over time and identify factors associated with food insecurity in these households. Prevalence and frequency of food insecurity was analysed across household income levels using data from the cross-sectional 2006-09 Victorian Population Health Surveys (VPHS). Respondents were categorised as food insecure, if in the last 12 months they had run out of food and were unable to afford to buy more. Multivariable logistic regression was used to describe factors associated with food insecurity in low-to-middle-income households (A$40000-$80000 in 2008). Between 4.9 and 5.5% for total survey populations and 3.9-4.8% in low-to-middle-income respondents were food insecure. Food insecurity was associated with limited help from friends, home ownership status, inability to raise money in an emergency and cost of some foods. Food insecurity exists in households beyond those on a very low income. Understanding the extent and implications of household food insecurity across all income groups in Australia will inform effective and appropriate public health responses.

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

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

The mediating role of dietary factors and leisure time physical activity on socioeconomic inequalities in body mass index among Australian adults.

BACKGROUND: The relationship between socioeconomic position and obesity has been clearly established, however, the extent to which specific behavioural factors mediate this relationship is less clear. This study aimed to ascertain the contribution of specific dietary elements and leisure-time physical activity (LTPA) to variations in obesity with education in the baseline (1990-1994) Melbourne Collaborative Cohort Study (MCCS). METHODS: 18, 489 women and 12, 141 men were included in this cross-sectional analysis. A series of linear regression models were used in accordance with the products of coefficients method to examine the mediating role of alcohol, soft drink (regular and diet), snacks (healthy and sweet), savoury items (healthy and unhealthy), meeting fruit and vegetable guidelines and LTPA on the relationship between education and body mass index (BMI). RESULTS: Compared to those with lowest educational attainment, those with the highest educational attainment had a 1 kg/m2 lower BMI. Among men and women, 27% and 48%, respectively, of this disparity was attributable to differences in LTPA and diet. Unhealthy savoury item consumption and LTPA contributed most to the mediated effects for men and women. Alcohol and diet soft drink were additionally important mediators for women. CONCLUSIONS: Diet and LTPA are potentially modifiable behavioural risk factors for the development of obesity that contribute substantially to inequalities in BMI. Our findings highlight the importance of specific behaviours which may be useful to the implementation of effective, targeted public policy to reduce socioeconomic inequalities in obesity.

Barriers, enablers and acceptability of home-based care following elective total knee or hip replacement at a private hospital: A qualitative study of patient and caregiver perspectives.

BACKGROUND: To facilitate implementation of home-based care following an elective total knee or hip replacement in a private hospital, we explored patient and caregiver barriers and enablers and components of care that may increase its acceptability. METHOD: Thirty-one patients (mean age 71 years, 77% female) and 14 caregivers (mean age 69 years, 57% female) were interviewed. All themes were developed using thematic analysis, then categorised as barriers or enablers to uptake of home-based care or acceptable components of care. Barrier and enabler themes were mapped to the Theoretical Domains Framework. RESULTS: Eight themes emerged as barriers or enablers: feeling unsafe versus confident; caregivers' willingness to provide support and patients' unwillingness to seek help; less support and opportunity to rest; positive feelings about home over the hospital; certainty about anticipated recovery; trusting specialist advice over family and friends; length of hospital stay; paying for health insurance. Five themes emerged as acceptable components: home visits prior to discharge; specific information about recovery at home; one-to-one physiotherapy and occupational therapy perceived as first-line care; medical, nursing and a 24/7 direct-line perceived as second-line care for complications; no one-size-fits-all model for domestic support. Theoretical domains relating to barriers included emotion (e.g., feeling unsafe), environmental context and resources (e.g., perceived lack of physiotherapy) and beliefs about consequences (e.g., unwillingness to burden their caregiver). Theoretical domains relating to enablers included beliefs about capabilities (e.g., feeling strong), skills (e.g., practising stairs), procedural knowledge (e.g., receiving advice about early mobility) and social influences (e.g., caregivers' willingness to provide support). CONCLUSIONS: Multiple factors, such as feeling unsafe and caregivers' willingness to provide support, may influence implementation of home-based care from the perspectives of privately insured patients and caregivers. Our findings provide insights to inform design of suitable home-based care following joint replacement in a private setting.

Did imports of sweetened beverages to Pacific Island countries increase between 2000 and 2015?

BACKGROUND: Nutrition-related chronic diseases are the major cause of illness and death in Pacific Island countries. Imports of sweetened beverages (SBs) are likely to be contributing but there is limited analysis of the quantities imported or the source countries of such beverages. The purpose of this study was to describe trends in the amount and types of SBs imported to Pacific Island countries and the impact of SB taxes on imports in Fiji and Tonga. METHODS: A repository of official international trade statistics was used to collect data on the volume, dollar value and source countries of SBs exported to Pacific Island countries from 2000 to 2015. Corresponding population data was sourced from the Secretariat of the Pacific Community for per capita analyses. We also explored which countries earned the most from exporting SBs to the Pacific. Descriptive and regression analyses were used to describe trends over time for each country and for the region as a whole. RESULTS: Imports of SBs to Pacific Island Countries from 2000 to 2015 increased by an average of 0.30 kg per person per year (p < 0.001). New Zealand and the USA were the largest income earners from SB exports to the Pacific over this period. The introduction of a tax did not impact the volume of SBs imported to Fiji. More data is needed to assess the impact of SBs tax on imports in Tonga. CONCLUSIONS: Exports of SBs to Pacific Island countries are increasing. Both importing and exporting countries should consider the health implications of trade in these products.

The case for action on socioeconomic differences in overweight and obesity among Australian adults: modelling the disease burden and healthcare costs.

OBJECTIVE: We aimed to quantify the extent to which socioeconomic differences in body mass index (BMI) drive avoidable deaths, incident disease cases and healthcare costs. METHODS: We used population attributable fractions to quantify the annual burden of disease attributable to socioeconomic differences in BMI for Australian adults aged 20 to <85 years in 2016, stratified by quintiles of an area-level indicator of socioeconomic disadvantage (SocioEconomic Index For Areas Indicator of Relative Socioeconomic Disadvantage; SEIFA) and BMI (normal weight, overweight, obese). We estimated direct healthcare costs using annual estimates per person per BMI category. RESULTS: We attributed $AU1.06 billion in direct healthcare costs to socioeconomic differences in BMI in 2016. The greatest number (proportion) of cases and deaths attributable to socioeconomic differences in BMI was observed for type 2 diabetes among women (8,602 total cases [16%], with 3,471 cases [22%] in the most disadvantaged quintile [SEIFA 1]) and all-cause mortality among men (2027 total deaths [4%], with 815 deaths [6%] in SEIFA 1). CONCLUSIONS: Socioeconomic differences in BMI substantially contribute to avoidable deaths, disease cases and direct healthcare costs in Australia. Implications for public health: Population-level policies to reduce socioeconomic differences in overweight and obesity must be identified and implemented.

Contribution of discretionary food and drink consumption to socio-economic inequalities in children's weight: prospective study of Australian children.

BACKGROUND: In high-income countries, children with a lower socio-economic position (SEP) are more likely to gain excess weight compared with children with a higher SEP. The extent to which children's consumption of discretionary food and drinks contributes to the development of these inequalities over childhood has not been examined. METHODS: The study sample comprised 3190 children from the nationally representative Longitudinal Study of Australian Children. Linear and logistic regression models were fitted in accordance with the product of coefficients mediation method to determine the contribution of cumulative consumption of sweet drinks, discretionary hot foods, savoury snacks and sweet snacks from the first year of life, over a period of 10 years, on the relationship between SEP and children's body mass index (BMI) z-score at age 10-11 years. RESULTS: At age 10-11, mean BMI z-score was 0.17 in the highest SEP tertile, 0.33 in the middle and 0.47 in the lowest tertile. Corresponding values for overweight and obesity prevalence were 16.6%, 25.7% and 32.7%, respectively. Eleven per cent [95% confidence interval (CI) 4.77%, 19.84%] of the observed difference in BMI z-score at age 10-11 years was mediated by socio-economic differences in consumption of sweet drinks and discretionary hot foods including pies and hot chips throughout childhood. CONCLUSIONS: Findings indicate that consumption of sweet drinks and discretionary hot food, from the first year of life, is likely to contribute to the development of inequalities in excess weight among children. Poor dietary intake is a key risk factor for excess weight gain among children and a reduction in discretionary food and drinks is likely to contribute to the dual goal of improving overall weight and reducing socio-economic inequalities in weight gain across childhood. To maximally reduce inequalities in weight gain across childhood, additional determinants must also be identified and targeted.

Obesity in Australia.

OBJECTIVES: To describe prevalence and trends for overweight and obesity in Australia and to critique the quality of available data on this public health priority. DESIGN: Comparison of aggregate prevalence data on adult and childhood overweight and obesity in publicly available national or state-based cross sectional surveys and survey series. PARTICIPANTS: All representative population surveys, conducted since 1995, with measured height and weight at a national or state level. RESULTS: The most recent measured data found that 63.4% of Australian adults and 27.6% of children were overweight or obese in 2014/15. Tasmania had the highest observed adult prevalence of obesity (32.3%) and of overweight and obesity combined (67.5%). The Australian Capital Territory had the lowest observed prevalence of obesity (23.9%) and of overweight and obesity combined (63.0%). Between 2007/08 and 2014/15, the age-standardised prevalence of adulthood overweight and obesity combined increased from 64.4% to 66.4%. Across states/territories the observed change varied from -5.3% (Western Australia) to 6.0% (Queensland). Amongst children the observed prevalence of overweight and obesity combined increased from 24.7% to 27.6%. Across states/territories the observed change varied from -1.4% (South Australia) to 11.1% (Tasmania). CONCLUSIONS: In Australia, 1 in 10 more adults are obese today compared to 1995. Limitations in the available data mean it is difficult to conclude on trends over time in children, Indigenous Australians, or by state/territory. We need to ensure the continuation and expansion of our National Health Survey and/or explore novel monitoring options from other countries.

Diet and physical activity as possible mediators of the association between educational attainment and body mass index gain among Australian adults.

OBJECTIVES: To quantify the mediating role of leisure time physical activity (LTPA) and five dietary behaviours on educational differences in 13-year body mass index (BMI) gain across adulthood. METHODS: Participants from the Melbourne Collaborative Cohort Study (4791 women; 3103 men) who maintained or gained BMI over 1990-1994 to 2003-2007 and met our inclusion criteria were selected. Education, potential mediators and confounders (age, alcohol, and smoking) were measured at baseline. We conducted sex-specific multiple mediation analyses using MacKinnon's product of coefficients method. RESULTS: A higher educational attainment was associated with a 0.27 kg m-2 (95% CI 0.14, 0.39) lesser 13-year BMI gain among women only. We observed significant indirect effects of educational attainment on 13-year BMI gain through LTPA and nutrient-rich foods (each associated with a higher educational attainment and lesser 13-year BMI gain) and diet soft drink (associated with a lower educational attainment and greater 13-year BMI gain), which mediated 10, 15 and 20% of this relationship, respectively (45% in total). CONCLUSIONS: Nutrient-rich foods, LTPA and diet soft drink may represent effective public health targets to reduce inequities in excess weight across adulthood.

Increases in waist circumference independent of weight in Mongolia over the last decade: the Mongolian STEPS surveys.

BACKGROUND: In Mongolia, mean waist circumference (WC) has increased dramatically over the last decade, however, it is unknown whether these increases have been greater than corresponding increases in weight. In this study we aimed to assess whether recent increases in WC were greater than expected from changes in weight in Mongolian adults. METHODS: We used data on 13260 Mongolian adults, aged between 18 and 64 years, who participated in one of three (2005, 2009, 2013) nationally representative cross-sectional surveys. Linear regression was used to estimate changes in mean WC over time, adjusted for age, sex, height and weight. We also estimated the age-standardised prevalence for four obesity classification categories (not obese; obese by WC only; obese by body mass index (BMI) only; obese by both BMI and WC) at each survey year. RESULTS: The estimated mean WC in 2009 and 2013, respectively, was 1.26 cm (95% CI: 0.35 to 2.17) and 1.88 cm (95% CI: 1.09 to 2.67) greater compared to 2005, after adjusting for age, sex, height and weight. Between 2005 and 2013, the age-standardised prevalence of those obese according to both BMI and WC increased from 8.0 to 13.6% for men and from 16.5 to 25.5% for women. During the same period, the percentage who were obese by WC only increased from 1.8 to 4.8% for men and from 16.5 to 26.8% for women. In contrast, the percentage who were obese by BMI only remained relatively stable (women: 2.4% in 2005 to 1.0% in 2013; men: 2.7% in 2005 to 4.0% in 2013). CONCLUSION: Over the last decade, among Mongolian adults, there has been substantially greater increase in WC and the prevalence of abdominal obesity than would be expected from increases in weight. Women are at greater risk than men of being misclassified as not obese if obesity is defined using BMI only. Obesity should be monitored using WC in addition to BMI to ensure the prevalence of obesity is not underestimated.

Trends in adult overweight and obesity prevalence in Mongolia, 2005-2013.

OBJECTIVE: To analyze trends in the prevalence of overweight and obesity among Mongolian adults during the past decade as measured by body mass index (BMI) and waist circumference (WC). METHODS: Data from the repeated cross-sectional surveys on the prevalence of noncommunicable disease risk factors conducted in 2005, 2009, and 2013 in Mongolia were used. Linear regression was used to quantify trends in mean BMI and WC, adjusted for age group, sex, and survey year. RESULTS: The age-standardized prevalence of obesity, denoted by the international BMI cutoff values, in men and women between 2005 and 2013 increased from 10.8% to 17.6% and from 18.9% to 26.4%, respectively. Using Asian-specific BMI cutoff values for men and women, the age-standardized prevalence of obesity between 2005 and 2013 increased from 20.0% to 32.8% and 33.4% to 43.7%, respectively. CONCLUSIONS: The prevalence of overweight and obesity has increased markedly between 2005 and 2013 similarly across all age groups and sexes. It is important to consider the use of Asian-specific cut-offs as the burden of obesity is twice as high as when using international BMI cutoffs. These data demonstrate the urgent need for obesity treatment, prevention, and monitoring in Mongolia.

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

PURPOSE: We analyzed the changes in the body mass index (BMI) distribution for urban Australian adults between 1980 and 2007. METHODS: We used data from participants of six consecutive Australian nation-wide surveys with measured weight and height between 1980 and 2007. We used quantile regression to estimate mean BMI (for percentiles of BMI) and prevalence of severe obesity, modeled by natural splines in age, date of birth, and survey date. RESULTS: Since 1980, the right skew in the BMI distribution for Australian adults has increased greatly for men and women, driven by increases in skew associated with age and birth cohort/period. Between 1980 and 2007, the average 5-year increase in BMI was 1 kg/m(2) (0.8) for the 95th percentile of BMI in women (men). The increase in the median was about a third of this, and for the 10th percentile, a fifth of this. We estimated that for the cohort born in 1960 around 31% of men and women were obese by age 50 years compared with 11% of the 1930 birth cohort. CONCLUSIONS: There have been large increases in the right skew of the BMI distribution for urban Australian adults between 1980 and 2007, and birth cohort effects suggests similar increases are likely to continue.

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

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

Diabetes and risk of physical disability in adults: a systematic review and meta-analysis.

BACKGROUND: 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. METHODS: 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]). RESULTS: 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). INTERPRETATION: 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. FUNDING: Monash University, Baker IDI Bright Sparks Foundation, Australian Postgraduate Award, VicHealth, National Health and Medical Research Council, Australian Research Council, Victorian Government.