The association of smoking status with glycemic control, metabolic profile and diabetic complications- Results of the Australian National Diabetes Audit (ANDA).

BACKGROUND: Tobacco smoking and diabetes mellitus contribute significantly to the overall health burden and mortality of Australians. We aimed to assess the relationship of smoking with glycemic control, metabolic profile and complications in Australian patients living with diabetes. METHODS: We analysed the 2011-2017 biennial Australian National Diabetes Audit cross-sectional data. Patients were classified as current, past or never smokers. Linear (or quantile) and logistic regression models were used to assess for associations. RESULTS: Data from 15,352 patients were analysed, including 72.2% with type 2 diabetes. Current smokers comprised 13.5% of the study population. Current and past smokers had a median HbA1c that was 0.49% and 0.14% higher than never smokers, respectively, as well as higher triglyceride and lower HDL levels (all p values < .0001). Compared to never smokers, current smokers had higher odds of severe hypoglycemia and current and past smokers had higher odds of myocardial infarction, stroke, peripheral vascular disease, lower limb amputation, erectile dysfunction and peripheral neuropathy (all p values ≤.001), with no significant change over time. CONCLUSION: When compared to never smokers, current and past smokers had poorer glycemic and lipid control and higher odds of macrovascular and microvascular complications. Despite this, current smoking remains prevalent among Australians with diabetes.

Young-onset type 2 diabetes and younger current age: increased susceptibility to retinopathy in contrast to other complications.

BACKGROUND: Type 2 diabetes diagnosed during youth and early adulthood is aggressive and associated with a high burden of vascular complications. The increase in complications is often attributed to long disease duration and poor metabolic control. Whether people with young-onset type 2 diabetes are inherently more susceptible to long-term complications than those diagnosed in later adulthood is unclear. METHODS: Prospective data from 3322 individuals, diagnosed between the age of 15 and 70 years and collected 10-25 years after diabetes diagnosis, were analysed. The cross-sectional associations between age at diagnosis and microvascular and macrovascular complications were analysed using logistic regression models, adjusted for duration of diabetes exposure and metabolic risk factors including blood pressure, cholesterol and updated mean HbA1c . RESULTS: The prevalence of retinopathy was highest in those with young-onset type 2 diabetes (diagnosed at age 15 to <40 years). After 10-15 years' diabetes duration, the adjusted odds ratio for retinopathy in this population was 2.8 (95% CI 1.9-4.1; reference group those diagnosed at 60 to <70 years of age). The odds of retinopathy remained higher in people with young-onset type 2 diabetes after longer durations of diabetes exposure; the odds decreased with increasing age at diagnosis. This pattern was not observed in models of other complications: after 10-15 years' diabetes exposure, the adjusted odds ratios for albuminuria, peripheral neuropathy and macrovascular disease in people with young-onset type 2 diabetes were 0.5 (95% CI 0.4-0.8), 0.7 (95% CI 0.5-1.1) and 0.2 (95% CI 0.1-0.3), respectively. CONCLUSION: After accounting for disease duration and other important confounders, people with type 2 diabetes diagnosed in youth and early adulthood (or with a younger current age) appeared to be inherently more susceptible to retinopathy. For other complications, adjusted risk appears highest in the oldest age of diagnosis group. These data have screening and treatment target implications.

Impact of different glycaemic treatment targets on pregnancy outcomes in gestational diabetes.

AIM: With no current randomized trials, we explored the impact of tight compared with standard treatment targets on pregnancy outcomes in gestational diabetes mellitus (GDM). METHODS: This cohort study of singleton births ≥ 28 weeks' gestation was conducted at two major Australian maternity services (2009-2013). Standardized maternal, neonatal and birth outcomes were examined using routine healthcare data and compared for women with GDM at Service One (n = 2885) and Service Two (n = 1887). Services applied different treatment targets: Service One (standard targets, reference group) fasting < 5.5 mmol/l, 2-h postprandial < 7.0 mmol/l; Service Two (tight targets) fasting < 5.0 mmol/l, 2-h postprandial < 6.7 mmol/l. Multivariable regression with propensity score adjustment was used to examine associations between targets and outcomes. RESULTS: GDM prevalence and insulin use were 7.9% and 31% at Service One, and 5.7% and 46% at Service Two. There were no differences in primary outcomes: birthweight > 90th centile [adjusted odds ratio (OR) 1.06, 95% confidence interval (CI) 0.87-1.30] and < 10th centile (OR 0.84, 95% CI 0.70-1.01), or secondary outcomes gestational hypertension, pre-eclampsia, shoulder dystocia or a perinatal composite. Service Two with tight targets had increased induction of labour (OR 3.63, 95% CI 3.17-4.16), elective Caesarean section (OR 1.75, 95% CI 1.37-2.23) and Apgar scores < 7 at 5 min (OR 1.54, 95% CI 1.05-2.25), decreased hypoglycaemia (OR 0.76, 95% CI 0.61-0.94]), jaundice (OR 0.47, 95% CI 0.35-0.63) and respiratory distress (OR 0.68, 95% CI 0.47-0.98). CONCLUSIONS: Tight GDM treatment targets were associated with greater insulin use and no difference in primary birthweight outcomes. The service with tight targets had higher obstetric intervention, lower rates of reported hypoglycaemia, jaundice, respiratory distress and lower Apgar scores. High-quality interventional data are required before tight treatment targets can be implemented.

A lifestyle intervention programme for the prevention of Type 2 diabetes mellitus among South Asian women with gestational diabetes mellitus [LIVING study]: protocol for a randomized trial.

AIM: This study aims to determine whether a resource- and culturally appropriate lifestyle intervention programme in South Asian countries, provided to women with gestational diabetes (GDM) after childbirth, will reduce the incidence of worsening of glycaemic status in a manner that is affordable, acceptable and scalable. METHODS: Women with GDM (diagnosed by oral glucose tolerance test using the International Association of the Diabetes and Pregnancy Study Groups criteria) will be recruited from 16 hospitals in India, Sri Lanka and Bangladesh. Participants will undergo a repeat oral glucose tolerance test at 6 ± 3 months postpartum and those without Type 2 diabetes, a total sample size of 1414, will be randomly allocated to the intervention or usual care. The intervention will consist of four group sessions, 84 SMS or voice messages and review phone calls over the first year. Participants requiring intensification of the intervention will receive two additional individual sessions over the latter half of the first year. Median follow-up will be 2 years. The primary outcome is the proportion of women with a change in glycaemic category, using the American Diabetes Association criteria: (i) normal glucose tolerance to impaired fasting glucose, or impaired glucose tolerance, or Type 2 diabetes; or (ii) impaired fasting glucose or impaired glucose tolerance to Type 2 diabetes. Process evaluation will explore barriers and facilitators of implementation of the intervention in each local context, while trial-based and modelled economic evaluations will assess cost-effectiveness. DISCUSSION: The study will generate important new evidence about a potential strategy to address the long-term sequelae of GDM, a major and growing problem among women in South Asia. (Clinical Trials Registry of India No: CTRI/2017/06/008744; Sri Lanka Clinical Trials Registry No: SLCTR/2017/001; and ClinicalTrials.gov Identifier No: NCT03305939).

Younger people with Type 2 diabetes have poorer self-care practices compared with older people: results from the Australian National Diabetes Audit.

AIM: This cross-sectional study compares the self-care practices of younger and older people with Type 2 diabetes. METHODS: Data were analysed from the Australian National Diabetes Audit (ANDA) including 2552 adults with Type 2 diabetes from Australian Diabetes Centres. Pre-specified demographic and clinical variables were obtained. Self-care variables (physical activity, following dietary recommendations, medication adherence and monitoring blood glucose levels) were compared in people ≤ 64 and > 64 years of age. RESULTS: Mean age (± sd) of participants was 63 ± 13 years overall, 53 ± 9 years for the younger group and 73 ± 6 years for the older group. A greater proportion of younger people had HbA1c levels > 53 mmol/mol (> 7.0%) (76% vs. 68%), reported difficulty following dietary recommendations (50% vs. 32%) and forgetting medications (37% vs. 22%) compared with older people (all P-values <0.001). A smaller proportion of younger compared with older people reported monitoring their blood glucose levels as often as recommended (60% vs. 70%, P < 0.001). Similar proportions of people aged ≤ 64 and > 64 years required insulin therapy (59% vs. 57%, P = 0.200). Younger age was associated with a twofold increase in the odds of not following the recommended self-care practices after adjustment for gender, smoking, insulin therapy, depression and allied health attendance (all P < 0.001). CONCLUSIONS: Despite shorter diabetes duration, younger age was associated with worse glycaemic control and poorer diabetes self-care practices among people with Type 2 diabetes. Targeted strategies are required to optimize diabetes self-care practices and thereby glycaemic control.

Emergency treatment of hypoglycaemia: a guideline and evidence review.

AIM: To examine the current treatment guidelines for the emergency management of hypoglycaemia and the evidence underpinning recommendations. METHODS: International diabetes agencies were searched for hypoglycaemia treatment guidelines. Guidelines were assessed using the Appraisal of Guidelines Research and Evaluation II (AGREE II) instrument. An electronic database search was conducted for evidence regarding emergency treatment of hypoglycaemia in adults, and relevant articles were critically appraised. RESULTS: Of the international diabetes agencies, six sets of guidelines were deemed relevant and of sufficient detail for appraisal by AGREE II. The evidence search returned 2649 articles, of which 17 pertaining to the emergency management of hypoglycaemia were included. High-quality evidence for the management of hypoglycaemia was lacking, limiting treatment recommendations. In general, guidelines and studies were somewhat concordant and recommended 15-20 g of oral glucose or sucrose, repeated after 10-15 min for treatment of the responsive adult, and 10% intravenous dextrose or 1 mg intramuscular glucagon for treatment of the unresponsive adult. No evidence was found for other treatment approaches. CONCLUSION: Evidence for the emergency treatment of hypoglycaemia in adults is limited, is often low grade and mostly pre-dates contemporary management of diabetes. Guideline recommendations are limited by the lack of randomized trials. Further high-quality studies are required to inform the optimum management of this frequently occurring emergency condition.

The impact of level of education on vascular events and mortality in patients with type 2 diabetes mellitus: Results from the ADVANCE study.

AIMS: The relationship between educational level and the risk of all-cause mortality is well established, whereas the association with vascular events in individuals with type 2 diabetes is not well described. Any association may reflect a link with common cardiovascular or lifestyle-based risk factors. METHODS: The relationships between the highest level of educational attainment and major cardiovascular events, microvascular complications and all-cause mortality were explored in a cohort of 11,140 individuals with type 2 diabetes. Completion of formal education before the age of 16 was categorized as a low level of education. Regional differences between Asia, East Europe and Established Market Economies were also assessed. RESULTS: During a median of 5years of follow up, 1031 (9%) patients died, 1147 (10%) experienced a major cardiovascular event and 1136 (10%) a microvascular event. After adjustment for baseline characteristics and risk factors, individuals with lower education had an increased risk of cardiovascular events (hazard ratio (HR) 1.31, 95% CI 1.16-1.48, p<0.0001), microvascular events (HR 1.23, 95% CI 1.08-1.39, p=0.0013) and all-cause mortality (HR 1.34, 95% CI 1.18-1.52, p<0.0001). In regional analyses the increased risk of studied outcomes associated with lower education was weakest in Established Market Economies and strongest in East Europe. CONCLUSIONS: A low level of education is associated with an increased risk of vascular events and death in patients with type 2 diabetes, independently of common lifestyle associated cardiovascular risk factors. The effect size varies between geographical regions.

Gaps and barriers in health-care provision for co-morbid diabetes and chronic kidney disease: a cross-sectional study.

BACKGROUND: Patients with diabetes and chronic kidney disease (CKD) are a complex subset of the growing number of patients with diabetes, due to multi-morbidity. Gaps between recommended and received care for diabetes and chronic kidney disease (CKD) are evident despite promulgation of guidelines. Here, we document gaps in tertiary health-care, and the commonest patient-reported barriers to health-care, before exploring the association between these gaps and barriers. METHODS: This cross-sectional study recruited patients with diabetes and CKD (eGFR < 60 mL/min/1.73 m2) across 4 large hospitals. For each patient, questionnaires were completed examining clinical data, recommended care, and patient-reported barriers limiting health-care. Descriptive statistics, subgroup analyses by CKD stage and hospital, and analyses examining the relationship between health-care gaps and barriers were performed. RESULTS: 308 patients, of mean age 66.9 (SD 11.0) years, and mostly male (69.5%) and having type 2 diabetes (88.0%), participated. 49.1% had stage 3, 24.7% stage 4 and 26.3% stage 5 CKD. Gaps between recommended versus received care were evident: 31.9% of patients had an HbA1c ≥ 8%, and 39.3% had a measured blood pressure ≥ 140/90 mmHg. The commonest barriers were poor continuity of care (49.3%), inadequate understanding/education about CKD (43.5%), and feeling unwell (42.6%). However, barriers associated with a failure to receive items of recommended care were inadequate support from family and friends, conflicting advice from and poor communication amongst specialists, the effect of co-morbidities on self-management and feeling unmotivated (all p < 0.05). CONCLUSIONS: Barriers to health-care varied across CKD stages and hospitals. Barriers associated with a deviation from recommended care were different for different items of care, suggesting that specific interventions targeting each item of care are required.

Prediction of 10-year vascular risk in patients with diabetes: the AD-ON risk score.

AIMS: To formulate a combined cardiovascular risk score in diabetes that could be useful both to physicians and healthcare funders. METHODS: Data were derived from the Action in Diabetes and Vascular Disease: Preterax and Diamicron Modified Release Controlled Evaluation Observational (ADVANCE-ON) study, a randomized controlled trial (mean duration 5 years) with a post-randomization follow-up (mean 4.9 years), that included 11 140 high-risk patients with diabetes. The outcome analysed was the occurrence of either fatal or non-fatal macrovascular or renal disease. A Cox regression model was used to determine weightings in the risk score. The resultant score was recalibrated to each of three major global regions, as covered by the ADVANCE-ON study. RESULTS: Over a median of 9.9 years, 1145 patients experienced at least one component of the combined outcome event. The resultant score, the AD-ON risk score, incorporated 13 demographic or clinical variables. Its discrimination was modest [c-statistic = 0.668 (95% confidence interval 0.651, 0.685)] but its calibration was excellent (predicted and observed risks coincided well, within disparate global regions). In terms of the integrated discrimination improvement index, its performance was marginally superior, over a 10-year risk horizon, to existing risk scores in clinical use, from a restricted version of the same data, for macrovascular and renal disease separately. CONCLUSIONS: The AD-ON risk score has advantages over the existing vascular risk scores in diabetes that used data from the original ADVANCE trial, which treat macrovascular and renal diseases separately. These advantages include its simplicity of use and global application.

The association between Polycystic Ovary Syndrome (PCOS) and metabolic syndrome: a statistical modelling approach.

OBJECTIVE: Polycystic ovary syndrome (PCOS) affects 12-21% of women. Women with PCOS exhibit clustering of metabolic features. We applied rigorous statistical methods to further understand the interplay between PCOS and metabolic features including insulin resistance, obesity and androgen status. DESIGN: Retrospective cross-sectional analysis. PATIENTS: Women with PCOS attending reproductive endocrine clinics in South Australia for the treatment of PCOS (n = 172). Women without PCOS (controls) in the same Australian region (n = 335) from the Australian Diabetes, Obesity and Lifestyle Study (AusDiab), a national population-based study (age- and BMI-matched within one standard deviation of the PCOS cohort). MEASUREMENTS: The factor structure for metabolic syndrome for women with PCOS and control groups was examined, specifically, the contribution of individual factors to metabolic syndrome and the association of hyperandrogenism with other metabolic factors. RESULTS: Women with PCOS demonstrated clustering of metabolic features that was not observed in the control group. Metabolic syndrome in the PCOS cohort was strongly represented by obesity (standardized factor loading = 0·95, P < 0·001) and insulin resistance factors (loading = 0·92, P < 0·001) and moderately by blood pressure (loading = 0·62, P < 0·001) and lipid factors (loading = 0·67, P = 0·002). On further analysis, the insulin resistance factor strongly correlated with the obesity (r = 0·70, P < 0·001) and lipid factors (r = 0·68, P < 0·001) and moderately with the blood pressure factor (loading = 0·43, P = 0·002). The hyperandrogenism factor was moderately correlated with the insulin resistance factor (r = 0·38, P < 0·003), but did not correlate with any other metabolic factors. CONCLUSIONS: PCOS women are more likely to display metabolic clustering in comparison with age- and BMI-matched control women. Obesity and insulin resistance, but not androgens, are independently and most strongly associated with metabolic syndrome in PCOS.

Treatment of dyslipidemia and cardiovascular outcomes: the journey so far--is this the end for statins?

Dyslipidemia is common and is associated with the highest population-attributable risk for cardiovascular disease. Of various cardiovascular preventive therapies, the evidence from randomized controlled trials supporting the importance of aggressive lipid lowering is the most robust, particularly for statins. Despite the use of proven therapies, cardiovascular disease event rates remain relatively high, underpinning the development of novel therapies. In addition to testing new drugs to reduce low-density-lipoprotein cholesterol, there has been a major focus on treatments that can favorably influence high-density-lipoprotein cholesterol and triglyceride levels. This review provides an overview of the important relationship between lipids and cardiovascular disease, the lipid-modifying therapeutic approaches to reducing cardiovascular disease, new guidelines and recommendations, and the challenges ahead for the treatment of dyslipidemia, particularly whether statins will remain at the forefront of recommended therapies.

Contraception use and pregnancy outcomes in women with polycystic ovary syndrome: data from the Australian Longitudinal Study on Women's Health.

STUDY QUESTION: Do contraception use, pregnancy outcome and number of children differ in women with and without polycystic ovary syndrome (PCOS)? SUMMARY ANSWER: Women with PCOS were less likely to report use of contraception and more likely to report a miscarriage, whilst number of children was similar between groups. WHAT IS KNOWN ALREADY: The oral contraceptive pill is used in the management of PCOS, but the patterns of contraception use in women with PCOS is not known. In women with PCOS who undergo assisted reproduction, the risk of pregnancy loss appears higher, yet pregnancy loss and family size among community-based women with PCOS is not known. STUDY DESIGN, SIZE AND DURATION: This is a cross-sectional analysis of a longitudinal cohort study. Mailed survey data were collected at five time points (years 1996, 2000, 2003, 2006 and 2009). Data from respondents to Survey 4 (2006), aged 28-33 (n = 9145, 62% of the original cohort aged 18-23 years) were analysed. PARTICIPANTS/MATERIALS, SETTING, METHODS: This study was conducted in a general community setting. Data from participants who responded to the questions on PCOS, contraception and pregnancy outcome were analysed. The main outcome measures were self-reported PCOS, body mass index (BMI), contraception use, pregnancy loss and number of children. MAIN RESULTS AND THE ROLE OF CHANCE: In women aged 28-33 years, women with PCOS were less likely to be using contraception (61 versus 79%, P < 0.001) and more likely to be trying to conceive (56 versus 45%, P < 0.001), compared with women not reporting PCOS. A greater proportion of women with PCOS reported pregnancy loss (20 versus 15%, P = 0.003). PCOS was not independently associated with pregnancy loss; however, BMI was independently associated with pregnancy loss in the overweight and obese groups (OR 1.2, 95% CI 1.04-1.4, P = 0.02 and OR 1.4, 95% CI 1.1-1.6, P = 0.001, respectively). Fertility treatment use was also independently associated with pregnancy loss (adjusted OR 3.2, 95% CI 2.4-4.2, P < 0.001). There was no significant difference in number of children between women with and without PCOS. LIMITATIONS, REASON FOR CAUTION: PCOS, contraception use and pregnancy outcome data were self-reported. Attrition occurred, but is reasonable compared with similar longitudinal cohort studies. WIDER IMPLICATIONS OF THE FINDINGS: This community-based cohort aged 28-33 years provides insights into the contraceptive use, pregnancy loss and family size of a large cohort of unselected women. Women reporting PCOS had lower rates of contraception use and were more likely to be currently trying to conceive, suggesting that they may be aware of potential fertility challenges, yet in those not planning to conceive, contraceptive use was low and further education may be required. Despite prior reports of higher rates of pregnancy loss in PCOS, usually from infertility services, in this community-based population, PCOS was not independently associated with pregnancy loss, yet independent risk factors for pregnancy loss included higher BMI, were higher in PCOS. The number of children per woman was similar in the both groups, albeit with more infertility treatment in PCOS. This may reassure women with PCOS that with access to fertility treatment, family sizes appear similar to women not reporting PCOS.

Intensification of medication and glycaemic control among patients with type 2 diabetes - the ADVANCE trial.

AIMS: The aim of this study was to assess associations between patient characteristics, intensification of blood glucose-lowering treatment through oral glucose-lowering therapy and/or insulin and effective glycaemic control in type 2 diabetes. METHODS: 11 140 patients from the Action in Diabetes and Vascular disease: preterAx and diamicroN-MR Controlled Evaluation (ADVANCE) trial who were randomized to intensive glucose control or standard glucose control and followed up for a median of 5 years were categorized into two groups: effective glycaemic control [haemoglobin A1c (HbA1c) ≤ 7.0% or a proportionate reduction in HbA1c over 10%] or ineffective glycaemic control (HbA1c > 7.0% and a proportionate reduction in HbA1c less than or equal to 10%). Therapeutic intensification was defined as addition of an oral glucose-lowering agent or commencement of insulin. Pooled logistic regression models examined the associations between patient factors, intensification and effective glycaemic control. RESULTS: A total of 7768 patients (69.7%), including 3198 in the standard treatment group achieved effective glycaemic control. Compared to patients with ineffective control, patients with effective glycaemic control had shorter duration of diabetes and lower HbA1c at baseline and at the time of treatment intensification. Treatment intensification with addition of an oral agent or commencement of insulin was associated with a 107% [odds ratio, OR: 2.07 (95% confidence interval, CI: 1.95-2.20)] and 152% [OR: 2.52 (95% CI: 2.30-2.77)] greater chance of achieving effective glycaemic control, respectively. These associations were robust after adjustment for several baseline characteristics and not modified by the number of oral medications taken at the time of treatment intensification. CONCLUSIONS: Effective glycaemic control was associated with treatment intensification at lower HbA1c levels at all stages of the disease course and in both arms of the ADVANCE trial.

Gestational diabetes and type 2 diabetes in reproductive-aged women with polycystic ovary syndrome.

CONTEXT: Polycystic ovary syndrome (PCOS) affects 6%-21% of women. PCOS has been associated with an increased risk of dysglycemia including gestational diabetes mellitus (GDM) and type 2 diabetes mellitus (T2DM). OBJECTIVE: The objective of the study was to assess the prevalence of dysglycemia and the impact of obesity in young reproductive-aged women with and without PCOS in a community-based cohort. DESIGN: This was a cross-sectional analysis of data from a large longitudinal study (the Australian Longitudinal Study on Women's Health). SETTING: The setting for the study was the general community. PARTICIPANTS: Women were randomly selected from the national health insurance database. Standardized data collection occurred at five survey time points (years 1996, 2000, 2003, 2006, and 2009). Data from survey 4 (2006, n = 9145, 62% of original cohort aged 18-23 y) were examined for this study. MAIN OUTCOME MEASURES: Self-reported PCOS, GDM, and T2DM were measured. RESULTS: In women aged 28-33 years, PCOS prevalence was 5.8% [95% confidence interval (CI) 5.3%-6.4%]. The prevalence of GDM (in women reporting prior pregnancy) and T2DM was 11.2% and 5.1% in women with PCOS and 3.8% and 0.3% in women without PCOS, respectively (P for both < .001). PCOS was associated with an increased odds of GDM and T2DM. After adjusting for age, body mass index, hypertension, smoking, and demographic factors, the odds of GDM (odds ratio 2.1, 95% CI 1.1-3.9, P = .02) and T2DM (odds ratio 8.8, 95% CI 3.9-20.1, P < .001) remained increased in women reporting PCOS. CONCLUSIONS: In a large community-based cohort of reproductive-aged women, PCOS was independently associated with a higher risk of GDM and T2DM, independent of body mass index. Aggressive screening, prevention, and management of dysglycemia is clearly warranted in women with PCOS.

The contribution of diet, physical activity and sedentary behaviour to body mass index in women with and without polycystic ovary syndrome.

STUDY QUESTION: What is the contribution of diet, physical activity and sedentary behaviour to body mass index (BMI) in women with and without polycystic ovary syndrome (PCOS)? SUMMARY ANSWER: PCOS status, higher energy intake and glycaemic index and lower physical activity were independently associated with BMI. WHAT IS KNOWN ALREADY: Obesity worsens the clinical features of PCOS and women with PCOS have an elevated prevalence of overweight and obesity. It is not known whether there is a contribution of lifestyle factors such as dietary intake, physical activity or sedentary behaviour to the elevated prevalence of obesity in PCOS. STUDY DESIGN, SIZE, DURATION: This study is a population-based observational study with data currently collected at 13 year follow-up. The study commenced in 1996. For this analysis, data are analysed at one time point corresponding to the Survey 5 of the cohort in 2009. At this time 8200 participants remained (58% retention of baseline participants) of which 7466 replied to the questionnaire; 409 self-reported a diagnosis of PCOS and 7057 no diagnosis of PCOS. PARTICIPANTS/MATERIALS, SETTING, METHODS: Australian women born in 1973-1978 from the Australian Longitudinal Study on Women's Health. MAIN RESULTS AND THE ROLE OF CHANCE: Mean BMI was higher in women with PCOS compared with non-PCOS (29.3 ± 7.5 versus 25.6 ± 5.8 kg/m(2), P < 0.001). Women with PCOS reported a better dietary intake (elevated diet quality and micronutrient intake and lower saturated fat and glycaemic index intake) but increased energy intake, increased sitting time and no differences in total physical activity compared with non-PCOS. PCOS status, higher energy intake and glycaemic index and lower physical activity, as well as age, smoking, alcohol intake, occupation, education and country of birth, were independently associated with BMI. LIMITATIONS, REASONS FOR CAUTION: The weaknesses of this study include the self-reported diagnosis of PCOS, and the women not reporting PCOS not having their control status clinically verified which is likely to underrepresent the PCOS population. We are also unable to determine if lifestyle behaviours contributed to the PCOS diagnosis or were altered in response to diagnosis. WIDER IMPLICATIONS OF THE FINDINGS: The strengths of this study include the community-based nature of the sample which minimizes selection bias to include women with a variety of clinical presentations. These results are therefore generalizable to a broader population than the majority of research in PCOS examining this research question which are performed in clinic-based populations. This study is in agreement with the literature that PCOS is independently associated with elevated BMI. We provide new insights that diet quality is subtly improved but that sedentary behaviour is elevated in PCOS and that PCOS status, higher energy intake and glycaemic index and lower physical activity are independently associated with BMI. STUDY FUNDING/COMPETING INTEREST(S): L.J.M. was supported by a South Australian Cardiovascular Research Development Program (SACVRDP) Fellowship (AC11S374); a program collaboratively funded by the National Heart Foundation of Australia, the South Australian Department of Health and the South Australian Health and Medical Research Institute, S.A.M. was funded by an Australian Research Council Future Fellowship (FT100100581), S.Z. was funded by a Heart Foundation Career Development Fellowship (ID CR10S5330) and H.J.T. was funded by an NHMRC fellowship (ID 545888). None of the authors has any conflict of interest to declare. TRIAL REGISTRATION NUMBER: Not applicable.

The influence of physical activity on vascular complications and mortality in patients with type 2 diabetes mellitus.

AIMS: There is limited evidence regarding the association between physical activity and vascular complications, particularly microvascular disease, in patients with type 2 diabetes. METHODS: From the 11 140 patients in the ADVANCE (Action in Diabetes and Vascular Disease: Preterax and Diamicron modified release Controlled Evaluation) trial, the effect of physical activity, categorized as none, mild, moderate or vigorous, and the number of sessions within a week, was examined in multivariable regression models adjusted for potential confounders. The study end-points were major cardiovascular events, microvascular complications and all-cause mortality. RESULTS: Forty-six percent of participants reported undertaking moderate to vigorous physical activity for >15 min at least once in the previous week. During a median of 5 years of follow-up, 1031 patients died, 1147 experienced a major cardiovascular event and 1136 a microvascular event. Compared to patients who undertook no or mild physical activity, those reporting moderate to vigorous activity had a decreased risk of cardiovascular events (HR: 0.78, 95% CI: 0.69-0.88, p < 0.0001), microvascular events (HR: 0.85, 95% CI: 0.76-0.96, p = 0.010) and all-cause mortality (HR: 0.83, 95% CI: 0.73-0.94, p = 0.0044). CONCLUSIONS: Moderate to vigorous, but not mild, physical activity is associated with a reduced incidence of cardiovascular events, microvascular complications and all-cause mortality in patients with type 2 diabetes.

The effects of patient characteristics and geographical region on hospitalization in patients with type 2 diabetes.

AIMS: The ADVANCE trial recruited participants from 20 countries worldwide. We analyse here regional variations and causes of hospitalization for people with Type 2 diabetes from Asia, Established Market Economies and Eastern Europe. METHODS: A cohort analysis examining the effects of region on causes of first hospitalization, and the association of participant characteristics on all-cause first hospitalization across regions, using multivariable (adjusted for clinical, physiological, behavioural and socio-demographic factors) Cox models. RESULTS: Of 11 140 individuals (6407 men), all-cause hospitalization rates were highest in Established Market Economies, followed by Eastern Europe then Asia. Eastern Europe had rates of hospitalization for diabetic causes four times greater than Established Market Economies [multivariable-adjusted hazard ratio 4.02 (95% CI 2.86-5.63)]. There were no significant regional variations in hospitalization rates for cardiovascular disease (P = 0.534), but much lower rates for musculoskeletal and non-specific causes in Eastern Europe [multivariable-adjusted hazard ratio 0.44 (95% CI 0.32-0.60) and 0.19 (95% CI 0.12-0.29)] and Asia [hazard ratio 0.21 (95% CI 0.16-0.29) and 0.09 (95% CI 0.06-0.14)] compared with Established Market Economies. In all regions, participants hospitalized for any cause were more likely to be older, male, hypertensive, smokers, have higher glycated haemoglobin and a history of macrovascular or macrovascular disease. CONCLUSIONS: Across three markedly different regions of the world, regional rates and causes of hospitalization varied widely in patients with Type 2 diabetes. Adjustment for a range of patient characteristics did not explain these regional differences in hospitalization, which appear to be attributable to health system factors.

Oral disease in relation to future risk of dementia and cognitive decline: prospective cohort study based on the Action in Diabetes and Vascular Disease: Preterax and Diamicron Modified-Release Controlled Evaluation (ADVANCE) trial.

OBJECTIVE: Examine the association of oral disease with future dementia/cognitive decline in a cohort of people with type 2 diabetes. METHODS: A total of 11,140 men and women aged 55-88 years at study induction with type 2 diabetes participated in a baseline medical examination when they reported the number of natural teeth and days of bleeding gums. Dementia and cognitive decline were ascertained periodically during a 5-year follow-up. RESULTS: Relative to the group with the greatest number of teeth (more than or equal to 22), having no teeth was associated with the highest risk of both dementia (hazard ratio; 95% confidence interval: 1.48; 1.24, 1.78) and cognitive decline (1.39; 1.21, 1.59). Number of days of bleeding gums was unrelated to these outcomes. CONCLUSIONS: Tooth loss was associated with an increased risk of both dementia and cognitive decline.

Weight changes and their predictors amongst 11 140 patients with type 2 diabetes in the ADVANCE trial.

AIMS: To determine the baseline characteristics and glucose-lowering therapies associated with weight change among patients with type 2 diabetes. METHODS: Eleven thousand one hundred and forty participants in the ADVANCE trial were randomly assigned to an intensive [aiming for a haemoglobin A1c (HbA1c) ≤6.5%] or a standard blood glucose-control strategy. Weight was measured at baseline and every 6 months over a median follow-up of 5 years. Multivariable linear regression and linear-mixed effect models were used to examine predictors of weight change. RESULTS: The mean difference in weight between the intensive and standard glucose-control arm during follow-up was 0.75 kg (95% CI: 0.56-0.94), p-value <0.001. The mean weight decreased by 0.70 kg (95% CI: 0.53-0.87), p < 0.001 by the end of follow-up in the standard arm but remained stable in the intensive arm, with a non-significant gain of 0.16 kg (95% CI: -0.02 to 0.34), p = 0.075. Baseline factors associated with weight gain were younger age, higher HbA1c, Caucasian ethnicity and number of glucose-lowering medications. Treatment combinations including insulin [3.22 kg (95% CI: 2.92-3.52)] and thiazolidinediones [3.06 kg (95% CI: 2.69-3.43)] were associated with the greatest weight gain while treatment combinations including sulphonylureas were associated with less weight gain [0.71 kg (95%CI: 0.39-1.03)]. CONCLUSIONS: Intensive glucose-control regimens are not necessarily associated with substantial weight gain. Patient characteristic associated with weight change were age, ethnicity, smoking and HbA1c. The main treatment strategies predicting weight gain were the use of insulin and thiazolidinediones.