Background and aim: Type 2 diabetes mellitus (T2DM) is a significant public health concern in Africa. While the associations between modifiable risk factors and T2DM are likely to be Africa-specific, their overall estimations have not been published. This study aimed to use systematic and meta-analytic methods to examine the strength of associations between modifiable risk factors and T2DM in Africa. Methods and results: A systematic search of literature published between January 2000 to March 2022 was conducted. The review included only population-based studies and data extracted from 57 studies. Of these, unadjusted data from 50 studies were included in meta-analysis. With considerable heterogeneity between studies, random-effect models were calculated to ascertain the odds ratios (OR) and 95% confidence intervals (CI) for the associations between obesity (OB) and overweight (OV), defined by BMI; central obesity (waist circumference (OB-WC), waist-tohip-ratio (OB-WHR)), alcohol, fruit and vegetable consumption, smoking, physical activity (PA) and T2DM. Moderator effects of age, African regions, and urban/rural location were assessed. Risk factors associated with T2DM include BMI-OB [OR = 3.05, 95% CI: (2.58, 3.61)], BMI-OV [OR = 2.38, 95% CI: (1.51, 3.75)], and BMI-OV/OB [OR = 2.07, 95% CI: (1.82, 2.34)]; OB-WC [OR = 2.58, 95% CI: (2.09, 3.18)] and OB-WHR [OR = 2.22, 95% CI: (1.69, 2.92)]; PA [OR = 1.85, 95% CI: (1.50, 2.30)]. Significant moderator effects were not observed.Conclusion: Obesity defined by BMI and central obesity, but not behavioral risk factors were most strongly associated with T2DM in African populations, emphasizing the need for obesity prevention to limit the rise of T2DM. Registration: The PROSPERO registration number is CRD42016043027.

Ensuring public spaces and institutions are healthy and encourage health promotion is an important public health initiative. Universities in Australia have begun to introduce policies that support health promotion activities. This study explores one such area of health promotion activity, the introduction of university tobacco policies. This research documents the aims of these policies, their development, and whether their implementation aligns with the stated goals. Policy and supporting documents were downloaded from the public facing websites of 23 Australian universities identified as having tobacco policy. Policies were analysed using a purpose-built policy and document analysis tool that allowed the examination of the motivations and processes behind the policy development and an exploration of consistencies across policy objectives. This research found that policy background and legislative obligations were clearly and uniformly stated, as were the smoke-free policy goals. Some universities provided clear policy intent, such as measurable goals or links between motivation, goals, and outcomes; however, many of the policies and supporting documents did not demonstrate key aspects of the policy process. This research should be encouraging for the increasing number of educational institutions that are developing health promoting policies, but it is also a timely reminder that policy development processes should be more transparent, documenting motivation and incorporating evaluation, to ensure they are fully understood and sustainable. This research reveals the need for further detailed policy analysis within the university setting and other organisational settings to better understand what sits behind the policy landscape visible through publicly available documentation.

Objectives We investigated the association between urban/rural location and both type 2 diabetes mellitus (T2DM) and pre-diabetes among populations of five West African countries. Design Cross-sectional studies, using the WHO Stepwise (STEPs) survey data. Setting National representative data of both urban and rural areas from Benin, Burkina Faso, Ghana, Liberia and Mali. Participants Adults comprising 15 468 participants (6774 men and 8746 women; 7663 urban and 7805 rural residents) aged between 25 and 64 years. Results The age and sex-adjusted prevalence of T2DM was 6.2% for urban areas and 2.5% for rural areas. The prevalence of impaired fasting glucose (IFG) was 6.6% for urban areas, and 3.0% for rural areas. No differences by sex were observed. The crude relative risk (RR) and 95% CI of T2DM and IFG in urban compared with rural areas were 2.69 (1.85 to 3.91) and 2.37 (1.53 to 3.66), respectively. This reduced to RR: 2.03, 95% CI (1.34 to 3.08) and RR: 2.04, 95% CI (1.27 to 3.28), respectively, after adjusting for covariables. Conclusion The prevalence of both T2DM and IFG was more than two times as high in urban areas compared with rural areas in West Africa. Behavioural risk factors are common among urban populations, with ongoing urbanisation expected to drive increases in the prevalence of T2DM. These results could guide planning for T2DM screening, preventive strategies and resource allocation in West Africa.

Abstract Background Type 2 diabetes mellitus (T2DM) is becoming one of the leading causes of morbidity and mortality worldwide, including among Africans. Knowledge of the association between traditional risk factors and both diabetes and pre-diabetes, and whether these differ by age and sex, is important for designing targeted interventions. However, little is known about these associations for African populations. Methods The study used data from WHO STEPS surveys, comprising 15,520 participants (6,774 men and 8,746 women) aged 25–64 years, from 5 different West African countries, namely Burkina Faso (4,711), Benin (3,816), Mali (1,772), Liberia (2,594), and Ghana (2,662). T-test and chi-square tests were used to compare differences in the prevalence of traditional risk factors for both sexes. Multinomial logistic regression was conducted to ascertain the relative risks (RR) and 95% confidence intervals (CI) for both T2DM and impaired fasting glucose (IFG) relating to each risk factor, including obesity [defined by BMI, waist circumference (WC), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR)], high blood pressure (HBP), fruit and vegetable consumption, physical inactivity, alcohol consumption, and smoking. Models for each of these traditional risk factors and interactions with age and sex were fitted. Results Factors associated with T2DM and IFG were age, obesity [defined by BMI, WC, WHtR, and WHR], HBP, smoking, physical inactivity, and fruit and vegetable consumption (p < 0.05). Analysis of interaction effects showed few significant differences in associations between risk factors and T2DM according to age or sex. Significant interaction with age was observed for HBP*age and T2DM [RR; 1.20, 95% CI: (1.01, 1.42)) (p = 0.04)], WHtR*age and T2DM [RR; 1.23, 95% CI: (1.06, 1.44) (p = 0.007)] and WHR*age and IFG [RR: 0.79, 95% CI: (0.67, 0.94) (p = 0.006)]. Some interactions with age and sex were observed for the association of alcohol consumption and both IFG and T2DM, but no clear patterns were observed. Conclusion The study found that with very few exceptions, associations between traditional risk factors examined and both IFG and T2DM did not vary by age or sex among the West African population. Policies and public health intervention strategies for the prevention of T2DM and IFG should target adults of any age or sex in West Africa.

At least 80–85% of the 660,000 people employed in garment and footwear factories in Cambodia are female, rural-to-urban migrants, aged 35 years or younger. In an audio-assisted, self-administered interview survey conducted with 668 Cambodian female garment factory employees, we found that 52.8% had ever had sex, 24.2% had an unmet need for modern contraception, 5.9% were currently pregnant, 38.3% of the mothers had attended four plus antenatal care consultations (ANCC) and 24.4% had attended no ANCC, and 83.7% of births were assisted by a skilled birth attendant. A public health approach is required to improve modern contraception use and antenatal care.

Background and aim Various obesity indices such as BMI, waist circumference (WC), waist-hip ratio, (WHR) and waist-to-height ratio (WHtR) are associated with the risk of type 2 Diabetes Mellitus (T2DM). Given few studies examining the strength of the association in this population, we aimed to identify which obesity indices are most strongly associated with T2DM and impaired fasting glucose (IFG) among adults from five West African countries. Methods and results Data from 15,520 participants from the World Health Organisation (WHO) STEPs surveys in Burkina Faso, Benin, Mali, Liberia, and Ghana were included in analyses. Multinomial logistic regression was used to calculate the relative risk (RR) per standard deviation (SD) of each anthropometric measure, modelled as both continuous variables and as categorical variables based on established cut-points. In the analyses with continuous variables, the unadjusted RRs for T2DM per SD were 1.30 (1.23, 1.37) for body mass index (BMI); 1.56 (1.46, 1.67) for WC; 2.57 (2.15, 3.09) for WHtR and 1.16 (1.03, 1.31) for WHR. WHtR showed the strongest association with T2DM in all adjusted analyses. For models using categorical variables based on established cut-points, obesity defined using waist circumference (OB-WC) and OB-BMI showed the strongest associations with T2DM, and OB-WHR, the weakest association in all adjusted analyses. Conclusion WHtR and WC appear to be the indices most strongly associated with T2DM and IFG respectively. Given its simplicity, WC may be the metric that most usefully conveys risk for T2DM in West African adults.

Objective To examine the health care costs associated with mental disorders and subthreshold mental disorders within a nationally representative sample of children and adolescents in Australia. Method Data were derived from the Young Minds Matter Survey (N = 6,310). Mental disorders were classified using the Diagnostic Interview Schedule for Children Version IV. Participant data were linked to administrative data on health care costs. Adjusted generalized linear regression models and two-part models were used to estimate mean differences in costs between those with a mental disorder or subthreshold disorder and those without. Results Costs associated with health care attendances and medications were higher for children and adolescents with mental disorders and subthreshold mental disorders compared to those without a mental disorder. The additional population health care costs due to mental disorders amounted to AUD$234 million annually in children and adolescents, of which approximately 16% was attributed to out-of-pocket costs. Findings showed that those with subthreshold mental disorders or comorbid mental disorders have substantial additional costs of Medicare-funded medical and pharmaceutical services. Conclusion and implication Mental disorders in children and adolescents are associated with significant health care costs. Further research is needed to ensure that this population is receiving effective and efficient care.

Background: In Africa, epidemiological data on type 2 diabetes (T2DM) and impaired fasting glucose (IFG) is incomplete, especially in relation to the influence of rapid urbanisation on risk of disease. We investigated the association between urban/rural location and both T2DM and prediabetes among West African populations from five countries. Methods: This study used WHO STEPs surveys comprising 15,468 participants (6,774 men and 8,746 women; 7,663 urban and 7,805 rural residents) with data from Benin, Burkina Faso, Ghana, Liberia, and Mali. χ 2 tests were used for comparisons of percentages. Multinomial Logistic regression was used to calculate the relative risk (RR) and 95% confidence intervals (CIs) of T2DM and IFG in urban and rural dwellers, adjusting for age, sex, education, and profession. Results: The age and sex-adjusted prevalence of T2DM was 6.2% for urban areas and 2.5% for rural areas. The prevalence of IFG was 6.6% for urban areas, and 3.0% for rural areas. No differences by sex were observed. The crude RR and 95% CI of T2DM and IFG in urban compared with rural areas were 2.69 (1.85, 3.91) and 2.37 (1.53, 3.66) respectively. This reduced to RR: 2.03, 95% CI: (1.34, 3.08) and RR: 2.04, 95% CI: (1.27, 3.28) respectively after adjusting for covariables. Interpretation: Behavioural risk factors are common among urban populations, with ongoing urbanisation expected to drive increases in the prevalence of T2DM. These results could guide planning for T2DM screening, preventive strategies, and resource allocations in West Africa.Funding: Australian Government through the Higher Degree Research Program Award. Declaration of Interest: The authors declare no conflict of interest.Ethical Approval: Each country obtained ethical approval from a local ethicscommittee, and informed consent was obtained from each participant.

Purpose In cost-utility analysis, outcomes are usually measured in terms of quality-adjusted life years, where length of life is adjusted by levels of health-related quality of life (HRQoL) using a single value, known as a health state utility value (HSUV). This study explores the HSUVs of parents of children with a serious illness admitted within three hospital departments (cardiology, oncology and paediatric intensive care) across four time points, compares HSUVs with Australian population norms and examines predictors of parental HSUVs. Methods Data were obtained from the Take a Breath study, where parental HSUVs were measured using the Assessment of Quality of Life-8 Dimensions (AQoL-8D). Descriptive statistics and t-tests compared the AQoL-8D scores with population norms, while repeated measures ANOVA was used to compare parental HSUVs of children treated across illness groups over time. Regression analysis was performed to determine predictors of parental HSUVs. Results Parental HSUVs were not significantly different from the general Australian population norms ( p = 0.939), as measured by the AQoL-8D. However, statistically significant differences were observed in the psychosocial super-dimension ( p < 0.01) and in all eight AQoL-8D dimensions, except for senses and self-worth. No significant differences were observed across illness groups. Parental HSUVs were associated with psychosocial risk factors of trait anxiety ( p < 0.001), depression ( p < 0.001) and family beliefs ( p = 0.024). Conclusion Having a child with a severe illness has an impact on the psychosocial aspects of parental HRQoL regardless of the type of illness. Psychosocial health factors of trait anxiety, depression and family beliefs were important predictors of parental HSUV.

INTRODUCTIONThis study identified characteristics of victims of fatal scuba diving incidents to determine contributing factors and inform appropriate countermeasures.METHODSThe National Coronial Information System (NCIS) was searched to identify scuba diving deaths for 2001-2013, inclusive. Data were extracted from witness and police reports, medical histories and autopsies. Descriptive statistics were used to analyse these data.RESULTSThere were 126 scuba diving-related fatalities identified during the study period. The mean age was 44 years, 99 (79%) victims were male and 83 (77%) were either overweight or obese. Most deaths occurred in New South Wales and Queensland, often in a commercial setting. Twenty-three (79%) Queensland victims were overseas tourists. At least 52 (41%) were novices and 17 (13%) died during training or an introductory scuba experience. Only 35 (28%) were with a buddy when the incident occurred and at least 81 (64%) were still wearing weights when recovered.CONCLUSIONSThe age of these victims may reflect an older cohort of participants and the associated higher prevalence of chronic medical conditions. The high prevalence of obesity suggests that this may be a risk factor. The high proportion of deaths in overseas tourists highlights an on-going need for appropriate screening and monitoring in what may be a higher risk cohort. The number of deaths that occurred under instruction highlights the importance of careful assessment of the site, prevailing conditions, an appropriate instructor-student ratio and close supervision.

Importance:Diagnosis of early breast cancer (EBC) in women by mammographic screening and postsurgical adjuvant endocrine therapy and chemotherapy (termed adjuvant therapy) began simultaneously in many countries in the 1990s. Subsequent breast cancer mortality declines were variously attributed to mammographic screening and/or adjuvant therapy. Objective:To determine the relative mortality reductions associated with these 2 interventions in women with EBC who had been exposed to both. Design, Setting, and Participants:This secondary analysis of cross-sectional studies assessed groups of women with invasive breast cancer in the State of Victoria, Australia, from January 1, 1982, to December 31, 2013, who were included in the Victorian Cancer Registry (VCR). The population consisted of participants in population-based studies of female breast cancer from 1986 to 2013 using data from 4 VCR population-based surveys of breast cancer treatment from 1986 to 1999; VCR data on breast cancer incidence, mortality, and TNM stage at diagnosis from 1986 to 2013; and Victorian mammographic screening program (BreastScreen Victoria) data from 1992 to 2007. Breast cancer incidence and mortality data were analyzed for all 76 630 women registered with invasive breast cancer with the VCR from January 1, 1982, to December 31, 2013, and breast cancer treatment and screening data were analyzed additionally for the groups of surveyed women as described above. Exposures:Participation in BreastScreen Victoria and receipt of adjuvant therapy after surgery for EBC. Main Outcomes and Measures:Data were analyzed for associations between crude breast cancer mortality trends and uptake of adjuvant therapy and downstaging by mammographic screening. Results:Of all 76 630 women registered with breast cancer with the VCR from January 1, 1982, to December 31, 2013. Joinpoint analyses of the time trend in crude mortality showed an increase from 31.6 per 100 000 women in 1982 to 34.3 per 100 000 women in 1994, with a single joinpoint at 1994, followed by a significant declining trend to 23.9 per 100 000 women in 2013 (annual percentage change, -1.3%; 95% CI, -1.6% to -0.9%). By 1999, 74% of all Victorian women with EBC (737 of 1001) had commenced adjuvant endocrine therapy, and 72% (187 of 260) of premenopausal and 29% (215 of 741) of postmenopausal women with EBC had commenced adjuvant chemotherapy. Crude incidence of advanced-stage breast cancer almost doubled from 12.2 per 100 000 women in 1986 to 23.9 per 100 000 women in 2013. Conclusions and Relevance:This study found that mammographic screening did not downstage breast cancer in Victoria from advanced to early, so population mortality benefit is lacking. Adjuvant therapy uptake was associated with all of the decline in Victorian breast cancer mortality since 1994. Given these findings, monitoring the relative contributions of mammographic screening and adjuvant therapy for EBC to breast cancer mortality reductions in populations of women exposed to both should be mandatory.

BackgroundType 2 diabetes mellitus (T2DM) is a significant public health concern in many African countries. While the determinants underpinning T2DM are likely to be Africa-specific, knowledge of these risk factors is largely derived from developed countries. This is the first systematic review and meta-analysis to include biological, behavioural and psychosocial risk factors for T2DM in Africa.MethodsRelevant scientific databases were searched, and data were extracted from 66 studies. Fifty- nine studies reported unadjusted data and were analysed using Comprehensive Meta-Analysis (CMA) software version 2.0. The Odds ratios (OR) and their 95% CIs for the associations between BMI indices (overweight, obesity), central obesity (waist circumference, waist to hip ratio), behavioural (alcohol, fruit and vegetable consumption, smoking), physical inactivity, and psychosocial factors (stress, anxiety, and depression) and T2DM were calculated using a random-effect model. Moderator effects of age, language-spoken, sub-regions and urban/rural location was assessed.ResultsA number of risk factors were associated with T2DM including, BMI-based definitions of obesity [OR = 3.22, 95% CI: 92.73, 3.80)], overweight [OR = 2.22, 95% CI: (1.90, 2.58)], or overweight/obesity [OR = 2.58, 95% CI: (1.76, 3.78)]; Central obesity as measured by waist circumference [OR = 2.51, 95% CI: (1.86, 3.37)], or waist to hip ratio [OR = 2.03, 95% CI: 1.51, 2.72]; psychosocial factors which includes stress [OR = 2.2, 95% CI: (1.46, 3.31)], depression [OR = 2.42, 95% CI: (1.14, 3.31)] and anxiety [OR = 2.05, 95% (CI:1.0, 4.18)] and physical inactivity [OR = 1.88, 95% CI: (1.53, 2.23)]. Current smoker [OR = 1.13, 95% CI: (0.84, 1.49)], alcohol consumption [OR = 1.10, 95% CI: (0.82, 1.47)] and inadequate fruit and vegetable consumption [OR = 0.81, 95% CI: (0.57, 1.16)] were not associated with T2DM. Locality (urban/rural), language spoken, and sub-region (East/West Africa) did not significantly moderate the associations between the risk factors and T2DM.ConclusionObesity (defined by BMI) is most strongly associated with T2DM. Overweight, waist circumference and waist to hip ratio, physical inactivity, psychosocial risk factors defined as stress, depression, anxiety were all significantly associated with T2DM. These findings add novel meta-analyses of associations between diverse individual risk factors and T2DM within the African context.

This study aimed to determine the impact of a sensory room on consumer arousal (either self-reported or observed) in an adult mental health rehabiilitation unit. Retrospective, single group descriptive methods were utilized, along with a poisson regression to explore the rooms usage on weekdays and weekends. A significant reduction in arousal was reported following sensory room use (z?=?17.78, p?<?0.001). Gender had no impact, although weak correlations suggested older consumers may remain more aroused post room use and experience less overall change in arousal. The room was used significantly less (p?<?0.001) on Saturdays, Sundays and Mondays. This study supports existing evidence on the use of sensory rooms, and provides new findings related to the rehabilitation context.

Theoretical approaches suggest that gender inequity increases men's health risks. Previous findings from the United States support this contention, however only a small number of health outcomes have been explored. This study extends the range of health outcomes examined by using a cross-sectional, multilevel analysis to investigate whether measures of state-level gender inequity are predictors of men's self-rated health. Data were derived primarily from the Behavioral Risk Factor Surveillance System and the full-case data set included 116,594 individuals nested within 50 states. Gender inequity was measured with nine variables: higher education, women's reproductive rights, abortion provider access, elected office, management, business ownership, labour force participation, earnings and relative poverty. Covariates at the individual level were age, income, education, race/ethnicity, marital status and employment status. Covariates at the state level were income inequality and gross domestic product per capita. In fully adjusted models for all-age men the reproductive rights (OR 1.06 95% CI 1.01-1.11), abortion provider access (OR 1.11 95% CI 1.05-1.16) and earnings (OR 1.06 95% CI 1.02-1.12) measures all predicted an increased risk of men reporting poorer self-rated health for each 1 standard deviation increase in the gender inequity z-score. The most consistent effect was seen for the 65+ age group where the reproductive rights (OR 1.09 95% CI 1.03-1.16), abortion provider access (OR 1.15 95% CI 1.09-1.21), elected office (OR 1.06 95% CI 1.01-1.11) and earnings (OR 1.10 95% CI 1.04-1.16) measures all showed a significant effect. These findings provide evidence that some aspects of gender inequity increase the risk of poorer self-rated health in men. The study contributes to a growing body of literature implicating gender inequity in men's health patterns.

Background Temporal trends in incidence and mortality of cardiovascular disease (CVD) have been well described, with recent data suggesting declining improvements in those aged under 55 years. However, little is known about the combined impact of incidence and mortality trends on disease prevalence, an important indicator of disease burden and cost. We analysed changes in age-specific and age-standardised temporal trends in prevalence and incidence of CVD subtypes. Methods Annual prevalence and incidence rates of coronary heart disease, cerebrovascular disease and peripheral arterial disease for the Western Australian population for 1995–2010 were calculated using data from the Western Australian Data Linkage System. Joinpoint regression analyses were used to identify joinpoints in trends in age-specific and age-standardised annual prevalence and incidence rates for each CVD subtype. Results Between 1995 and 2010, age- and sex-specific incidence and prevalence of the CVD subtypes generally decreased among middle-aged and older adults, but were stable or increased among younger adults. In < 55 year olds, increases in incidence tended to occur from 2003, while increases in prevalence were from 2007/2008. Declines in age-standardised incidence were greater than those in crude incidence, with changes in population structure having a greater impact among men than women. Conclusions The majority of CVDs occurs in older adults. Our findings of generally worsening trends in prevalence in younger adults across most CVD subtypes were in contrast to generally declining trends in older age groups. These data highlight the importance of monitoring prevalence and incidence, particularly in younger adults.

Background Type 2 diabetes mellitus (T2DM) remains a public health problem in low-income countries, including African countries. Risk factors of this disease in Africa are still unclear. This study will examine the modifiable and emerging risk factors associated with T2DM in Africa. Methodology The study will include a systematic review and meta-analysis of published and unpublished empirical studies, reporting quantitative data only. We will conduct a search on scientific databases (e.g. Global Health), general online search engines (e.g. Google Scholar) and key websites for grey literature using a combination of key countries/geographic terms, risk factors (e.g. overweight/obesity) and T2DM (including a manual search of the included reference lists). We will use the Comprehensive Meta-Analysis Software (CMA) version 2.0 for data management and analysis. This protocol follows the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P). Discussion The systematic review and meta-analysis will provide a robust and reliable evidence base for policy makers and future research. This may help with identifying and implementing more cost-effective diabetes prevention strategies and improved resource allocation. Systematic review registration This protocol has been registered with the PROSPERO international prospective register of systematic reviews. The reference number is CRD42016043027 .

INTRODUCTION:This study aimed to compare the results from three Australian scuba diver surveys. As the surveys differed in recruitment methods, the expectation was that respondents would differ in some important characteristics.METHODOLOGY:Anonymous, online, cross-sectional surveys of the demographics, health, diving practices and outcomes were distributed to: (1) Divers Alert Network Asia-Pacific (DAN AP) members; (2) Professional Association of Diving Instructors (PADI) Asia-Pacific members; and (3) divers who had received any PADI non-leadership certification within the previous four years. Only data from divers resident in Australia were analysed.RESULTS:A total of 2,275 responses were received from current Australian residents, comprising 1,119 of 4,235 (26.4%) DAN members; 350 of 2,600 (13.5%) PADI members; and 806 of 37,000 (2.2%) PADI divers. DAN and PADI members had similar diving careers (medians 14 and 15 years, respectively). PADI members had undertaken more dives (median 800) than DAN members (330) and PADI divers (28). A total of 692 respondents reported suffering from diabetes or a cardiovascular, respiratory, neurological or psychological condition and included 34% of the DAN members and 28% of each of the PADI cohorts. Eighty-four divers had been treated for decompression illness (approximately 5% of DAN and PADI member groups and 1% of the PADI divers). Eighty-seven of 1,156 (7.5%) PADI respondents reported a perceived life-threatening incident while diving.CONCLUSIONS:Despite low response rates, this study indicates clear differences in the characteristics of the divers in the three cohorts. Therefore, a survey of a single cohort may represent that diving population alone and the findings may be misleading. This bias needs to be clearly understood and any survey findings interpreted accordingly.

Introduction: This is the second report based on a survey of Divers Alert Network Asia-Pacific (DAN AP) members who dive with cardiovascular and respiratory conditions and diabetes. It examines the medical management of the divers' conditions, any diving modifications used to mitigate the risk and outcomes.Methodology: An online cross-sectional survey was sent to 833 divers who had declared a targeted medical condition when applying for DAN AP membership between July 2009 and August 2013.Results: Two-hundred-and-sixty-eight respondents (32%) provided sufficient information on their conditions to be included in the analyses. These included ischaemic heart disease (31), arrhythmias (20), cardiac septal defects (31), other cardiac conditions (10), hypertension (127), diabetes (25), asthma (40) and pneumothorax (5). Forty-nine per cent had sought specialist diving medical advice about their condition and 23% reported modifying their diving practices to mitigate their risk. The cohort had completed 183,069 career dives, 57,822 of these since being diagnosed with their medical condition. There were 27 individuals who reported having decompression illness (25 of whom were subsequently diagnosed with a persistent foramen ovale), and two individuals who experienced an arrhythmia during diving.Conclusions: Some DAN AP members are diving with medical conditions which could potentially impact the safety of their diving. A minority modified their diving practices to mitigate the risk of their condition and approximately half sought specialist diving medical advice. The incidence of diving-related problems precipitated by known and managed pre-existing health conditions seems low but further studies of larger cohorts and incorporating fatality data would be necessary to confirm this. These results are limited by the 32% response rate and potential for bias towards selection of those most careful with their health.

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 (= 30 kg.m(-2)) and substantially-increased-risk WC (= 88 cm [women], = 102 cm [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 5.4 kg and 10.7 cm (women), and by 7.0 kg and 7.3 cm (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.