Diabetes and obesity trends in Fiji over 30 years

Genetics and epigenetics of diabetes and its complications in India

Diabetes mellitus (DM) has become a significant health concern with an increasing rate of morbidity and mortality worldwide. India ranks second in the number of diabetes cases in the world. The increasing burden of DM can be explained by genetic predisposition of Indians to type 2 diabetes mellitus (T2DM) coupled with rapid urbanization and socio-economic development in the last 3 decades leading to drastic changes in lifestyle. Environment and lifestyle changes contribute to T2DM development by altering epigenetic processes such as DNA methylation, histone post-translational modifications, and long non-coding RNAs, all of which regulate chromatin structure and gene expression. Although the genetic predisposition of Indians to T2DM is well established, how environmental and genetic factors interact and lead to T2DM is not well understood. In this review, we discuss the prevalence of diabetes and its complications across different states in India and how various risk factors contribute to its pathogenesis. The review also highlights the role of genetic predisposition among the Indian population and epigenetic factors involved in the etiology of diabetes. Lastly, we review current treatments and emphasize the knowledge gap with respect to genetic and epigenetic factors in the Indian context. Further understanding of the genetic and epigenetic determinants will help in risk prediction and prevention as well as therapeutic interventions, which will improve the clinical management of diabetes and associated macro- and micro-vascular complications.

Research on the changes and predictions of the burden of type 2 diabetes mellitus in Pacific Island countries from 1990 to 2019

AIMS

To assess the burden of type 2 diabetes in Pacific Island countries and predict future trends.

METHODS

We analyzed and processed data using R and Excel software, performed Joinpoint 4.7.0 software analysis to investigate changing trends in disease burden, and used an autoregressive integrated moving average model to forecast future trends.

RESULTS

Our study showed that from 1990 to 2019, the burden of type 2 diabetes in Pacific Island countries continues to increase, with the standardized incidence rate showing the most significant growth. Moreover, there were significant differences in the burden of type 2 diabetes between regions. In 2019, American Samoa had the highest standardized incidence rate, while Fiji had the highest standardized death rate and disability-adjusted life year rate. The standardized incidence rate peaked at ages 65-69 years, while the standardized death rate and disability-adjusted life year rate peaked at ages 95 years and 70-74 years respectively. Type 2 diabetes burden was higher among males than females. Based on our forecasting, from 2020 to 2030, the standardized incidence rate is expected to continue to rise, while the standardized death rate and disability-adjusted life year rate will slowly decline.

CONCLUSIONS

Our study highlights that the burden of type 2 diabetes in Pacific Island countries has been increasing from 1990 to 2019. Therefore, it is imperative to strengthen disease prevention and control measures in the region.

Gender roles, generational changes and environmental challenges: an intersectional interpretation of perceptions on healthy diets among iTaukei women and men in Fiji

OBJECTIVE

To investigate perceptions of iTaukei Fijian women and men around diet and the ability to consume a healthy diet.

DESIGN

Six focus groups were conducted with women and men separately. Six to ten women and men participated in each group. Discussions were recorded, transcribed, translated and thematically analysed. Themes were mapped to an intersectionality framework to aid interpretation.

SETTING

Four villages in Viti Levu, Fiji.

PARTICIPANTS

Twenty-two women and twenty-four men.

RESULTS

Seven overarching themes were identified, including generational changes in food behaviour, strong-gendered beliefs around food and food provision, cultural and religious obligations around food, the impact of environmental change on the ability to consume a healthy diet, perceptions of the importance of food, food preferences and knowledge. Participants across focus groups identified that it was the 'duty' of women to prepare food for their families. However, some women reflected on this responsibility being unbalanced with many women now in the formal workforce. Changes between generations in food preferences and practices were highlighted, with a perception that previous generations were healthier. Power dynamics and external factors, such as environmental changes, were identified by women and men as crucial influences on their ability to eat a healthy diet.

CONCLUSION

Embedded traditional perceptions of gendered roles related to nutrition were misaligned with other societal and environmental changes. Given factors other than gender, such as broader power dynamics and environmental factors were identified as influencing diet, viewing nutrition-related issues through an intersectional lens is important to inform equitable food policy in Fiji.

Perceptions of patients on factors affecting diabetes self-management among type 2 diabetes mellitus (T2DM) patients in Fiji: A qualitative study

Introduction

Optimal glycemic control can be achieved when patients are adherent to self-management behaviours such as healthy diet, physical activity, monitoring of blood glucose, reducing the risk factors, ability to solve problems and healthy coping. In light of limited studies conducted, this study aimed to explore patient's perceptions on factors affecting diabetes self-management among Type 2 Diabetes Mellitus (T2DM) patients of Labasa, Fiji.

Materials and methods

A qualitative study was employed to obtain data using semi-structured interviews conducted amongst T2DM patients attending clinics in 3 randomly selected health facilities in Labasa, Fiji from 15^th March to 5^th April 2021. Non probability purposive sampling was used to recruit 30 T2DM patients. The data was collected using semi-structured open ended questionnaires. Thematic analysis was used for data analysis. This was done by closely examining the transcribed data to identify common themes such as ideas, topic and pattern that come up repeatedly, followed by reviewing themes, defining it and naming them.

Result

Five themes emerged including; awareness on diabetes, perceptions towards diabetes mellitus, social support and diabetes self-management, challenges in diabetes self-management, and cultural beliefs and practices. The findings of the study demonstrated lack of knowledge and attitude towards definition of diabetes and its complications. The self-management practices amongst patients were insufficient. There was poor financial support and lack of social support among patients.

Conclusion

The results of this study highlighted various factors such as poor knowledge of diabetes and its complications, inadequate family support, financial burden and strong cultural beliefs and social norms affecting diabetes self-management. This study informs the need to identify the factors affecting diabetes self-management among T2DM patients.

Patterns and risk factors associated with index Lower Extremity Amputations (LEA) among Type 2 Diabetes Mellitus (T2DM) patients in Fiji

AIM

To describe patterns of index (first ever) Lower Extremity Amputations (LEA) and to determine factors associated with their occurrence amongst Type 2 Diabetes Mellitus (T2DM) patients in Fiji.

METHODS

This cross-sectional study was conducted that adheres to the STROBE check lists for observational research among T2DM patients who experienced index LEA at the Colonial War Memorial Hospital (CWMH) in Fiji between 2011 and 2015. Demographic and clinical variables were extracted from patient folders. Univariate and multivariate logistic regression were used to determine factors associated with Major LEA. A p-value < 0.05 was considered significant.

RESULTS

A total of 649 study participants were studied with the average age of index amputation was 58.4 years (±9.6 years, range 30-91 years). The average duration of T2DM was 9.5 ± 5.7 years. LEAs were more common amongst males (55%) and indigenous Fijians (71.8%). One-third of index LEA (33%) were major amputations. Factors associated with occurrence of Major LEA were poor Random Blood Sugar (RBS) levels (OR = 1.68, 95% CI: 1.01, 2.81), midfoot lesion (OR = 9.38 95% CI: 4.95, 19.52), septicaemia (OR = 2.42, 95% CI: 1.28, 4.57), low haemoglobin level (OR = 0.78 95% CI: 0.72, 0.86), and history of hypertension (OR = 0.58, 95% CI: 0.40, 0. 84).

CONCLUSIONS

Results indicate that diabetic patients with foot infections present late to tertiary level care. Our findings also show an urgent need to strengthen primary care interventions and surveillance of both diabetes and diabetic LEA.

Trends in mortality and life expectancy in Fiji over 20 years

BACKGROUND

Fiji, a Pacific Island nation of 884,887 (2017 census), has experienced a prolonged epidemiological transition. This study examines trends in mortality and life expectancy (LE) in Fiji by sex and ethnicity over 1996-2017, with comparisons to published estimates.

METHODS

Trends in infant mortality rates (IMR), under-5 mortality (U5M), adult mortality (probability of dying), LE (at birth) and directly age-standardised death rates (DASRs) by sex and ethnicity, are calculated (with 95% confidence limits) using unit death records from the Fiji Ministry of Health and Medical Services. The LE gap between populations, or within populations over time, is examined using decomposition by age. Period trends are assessed for statistical significance using linear regression.

RESULTS

Over 1996-98 to 2014-17: IMR and U5M for i-Taukei and Fijians of Indian descent declined; U5M decline for i-Taukei (24.6 to 20.1/1000 live births) was significant (p = 0.016). Mortality (15-59 years) for i-Taukei males was unchanged at 27% but declined for Indians 33 to 30% (p = 0.101). Mortality for i-Taukei females increased 22 to 24% (p = 0.011) but declined for Indians 20 to 18% (p = 0.240). DASRs 1996-2017 were lower for i-Taukei (9.3 to 8.2/1000 population) than Indian males (10.6 to 9.8/1000). DASRs declined for i-Taukei (both sexes, p < 0.05), and for Indians (both sexes, p > 0.05). Over 22 years, LE at birth increased by 1 year or less (p = 0.030 in male i-Taukei). In 2014-17, LE (years) for males was: i-Taukei 64.9, Indians 63.5; and females: i-Taukei 67.0 and Indians 68.2. Mortality changes in most 5-year age groups increased or decreased the LE gap less than 10 weeks over 22 years. Compared to international agency reports, 2014-17 empirical LE estimates (males 64.7, females 67.8) were lower, as was IMR.

CONCLUSIONS

Based on empirical data, LE in Fiji has minimally improved over 1996-2017, and is lower than some international agencies report. Adult mortality was higher in Indian than i-Taukei men, and higher in i-Taukei than Indian women. Exclusion of stillbirths resulted in IMRs lower than previously reported. Differing mortality trends in subgroups highlight the need to collect census and health data by ethnicity and sex, to monitor health outcomes and inform resource allocation.

Diagnostic Accuracy of 10/66 Dementia Protocol in Fijian-Indian Elders Living in New Zealand

The 10/66 dementia protocol was developed as a language and culture-fair instrument to estimate the prevalence of dementia in non-English speaking communities. The aim of this study was to validate the 10/66 dementia protocol in elders of Indian ethnicity born in the Fiji Islands (Fijian-Indian) living in New Zealand. To our knowledge, this is the first time a dementia diagnostic tool has been evaluated in the Fijian-Indian population in New Zealand. We translated and adapted the 10/66 dementia protocol for use in in Fijian-Indian people. Individuals (age ≥ 65) who self-identified as Fijian-Indian and had either been assessed for dementia at a local memory service (13 cases, eight controls) or had participated in a concurrent dementia prevalence feasibility study (eight controls) participated. The sensitivity, specificity, positive predictive value, and Youden’s index were obtained by comparing the 10/66 diagnosis and its sub-components against the clinical diagnosis (reference standard). The 10/66 diagnosis had a sensitivity of 92.3% (95% CI 70.3–99.5), specificity of 93.8% (95% CI 75.3–99.6), positive predictive value of 92.3% (95% CI 70.3–99.5), and negative predictive value of 93.8% (95% CI 75.3–99.6). The study results show that the Fijian-Indian 10/66 dementia protocol has adequate discriminatory abilities to diagnose dementia in our sample. This instrument would be suitable for future dementia population-based studies in the Fijian-Indian population living in Aotearoa/New Zealand or the Fiji-Islands.

A cross-sectional study exploring obesity and pregnancy planning among women attending an antenatal clinic in Suva, Fiji

BACKGROUND

Pregnancy planning enables maternal health optimisation which is particularly important for women who have obesity and are at increased risk of adverse perinatal outcomes.

AIMS

The prevalence of pregnancy planning and its relationship to body mass index (BMI) was investigated in a cohort of women attending antenatal clinics in the main referral hospital in Suva, Fiji.

MATERIALS AND METHODS

The questionnaire captured health and socio-demographic data, anthropometry and asked about pregnancy planning.

RESULTS

Two thousand, two hundred and three pregnant women presenting for their first booking at the antenatal clinic were enrolled; 721 (37.4%) out of 1926 women with complete data reported they did not plan their pregnancy. A third of women (n = 633, 32.8%) had overweight and 805 (41.7%) had obesity. In multivariable analyses parity, employment status, marital status, and BMI were significantly associated with pregnancy planning. Compared to women of a healthy weight or underweight, women who have obesity were less likely to plan their pregnancy (adjusted odds ratio 0.742; 95% CI 0.569-0.967).

CONCLUSION

Tackling the cycle of obesity will require attention to preconception care and optimising weight before pregnancy.

Age and cohort rise in diabetes prevalence among older Australian women: Case ascertainment using survey and healthcare administrative data

BACKGROUND

Due to the absence and or costliness of biological measures such as glycated haemoglobin, diabetes case ascertainment and prevalence studies are usually conducted using surveys or routine health service use databases. However, the use of each of these sources is associated with its limitations potentially impacting the quality of the case ascertainment and prevalence estimation. This study aimed at ascertaining diabetes cases and estimating prevalence among mid- and older-age women through simultaneous use of a longitudinal survey and multiple healthcare administrative data sources.

METHODS

Data were available for 12,432 and 13,714 women born in 1921-26 and 1946-51 from the Australian Longitudinal Study on Women's Health (ALSWH). Diabetes was ascertained using the ALSWH survey, health service use, and cause of death data. Parsimonious multiple logistic regression analyses tested associations between sociodemographic and health variables and the presence of diabetes.

RESULTS

In both cohorts, two or more of the sources captured more than 80% of the women with diabetes. The point prevalence of diabetes increased from 8.4% when the mean age of the women were aged 73, to 22.0% of surviving women at age 90 in the 1921-26 cohort; and from 2.6% at age 48 to 15.8% at age 68 in the 1946-51 cohort. In the 1921-26 cohort, women who were obese (OR: 3.56; 95 CI: 3.04-4.17) and women who were sedentary (OR: 1.18; 95 CI: 1.09-1.40) were more likely to have diabetes compared to those who had a normal weight and engaged in a moderate level of physical activity. In the 1946-51 cohort, the odds of diabetes increased three times (OR: 2.99; 95 CI: 2.54-3.52) for overweight women and nine times (OR: 8.78; 95 CI: 7.46-10.33) for obese women compared to those who had normal weight.

CONCLUSIONS

The simultaneous use of multiple data sources improved the validity of diabetes case ascertainment. Application of this methodology in future studies may have important benefits including estimation of disease burden, health service needs, and resource allocation with improved precision. Diabetes prevalence increased with age, was much higher in the 1946-51 cohort than in 1921-26 at similar ages, and was significantly associated with physical inactivity and obesity. Interventions to promote physical activity and a healthy weight are needed to prevent the rising prevalence of diabetes across successive generations.

Adverse Maternal Outcomes of Fijian Women with Gestational Diabetes Mellitus and the Associated Risk Factors

The purpose of this study is to determine the factors associated with adverse maternal outcomes in pregnancies complicated by gestational diabetes mellitus (GDM) in urban Fiji. This cross-sectional study used data from existing records of singleton pregnant women with GDM attending the Colonial War Memorial Hospital (CWMH) Suva Fiji between June 2013 and May 2014. Data retrieved included demographic data, antenatal and intrapartum care data, route of delivery, treatment modality, and maternal risk factors. The prevalence of GDM is 3.0%, n = 255/8698, and the most frequent maternal complications were induction of labor (66%), C-section (32%), and preeclampsia (19%), and 25% had babies with birthweight > 4 kg. Older women (≥ 36 years) and those treated with insulin were 5.2 times and 10.7 times, respectively, more likely to have labor induction during childbirth compared with younger women and those on dietary management. Family history of diabetes was associated with 2.4× and/or 2.5× higher odds of cesarean delivery and/or develop hypertension in pregnancy, respectively. Parity > 5 children and diagnoses of GDM after the first trimester reduced the odds of cesarean delivery. The odds of developing preeclampsia in GDM was 3.4 times higher (95% confidence interval (CI) of adjusted odds ratio (aOR): 1.03, 18.78) among obese women than normal-weight women, and married women were less likely to have babies with birthweight > 4 kg. The prevalence of and adverse outcomes among women with GDM attending antenatal public health care in Suva Fiji were higher than previously reported from the hospital. Older and multiparous women with GDM, those insulin treated, and with a strong family history and high body mass index (BMI) need special attention and better monitoring by health care personnel to reduce adverse outcomes during pregnancy.

Factors associated with macrosomia, hypoglycaemia and low Apgar score among Fijian women with gestational diabetes mellitus

Background

Gestational diabetes mellitus (GDM) in Fiji is a serious public health issue. However, there are no recent studies on GDM among pregnant women in Fiji. The aim of this study was to examine prevalence of, and sociodemographic factors associated with adverse neonatal outcomes among Fijian women with GDM.

Methods

We used cross-sectional data of 255 pregnant women with GDM who gave birth to singleton infants at Colonial War Memorial Hospital (CWMH) in Suva city. Women underwent testing for GDM during antenatal clinic visits and were diagnosed using modified International Association of Diabetes and Pregnancy Study Groups (IADPSG) criteria. Multivariable logistic regression analysis was used to investigate factors associated with neonatal outcomes.

Results

Women with a previous baby weighing > 4 kg were 6.08 times more likely to experience neonatal macrosomia (Adjusted odds ratio (AOR) = 6.08; 95%CI: 2.46, 15.01). Compared to unmarried women, the odds of macrosomia among married women reduced by 71% (AOR = 0.29; 95%CI: 0.11, 0.77). Compared with delivery before 38 weeks of gestation, the infants of women who delivered between 38 and 41 weeks of gestation were 62 and 86% less likely to experience neonatal hypoglycaemia and Apgar score < 7 at 5 mins, respectively. The offspring of women who were overweight and obese had higher odds of neonatal hypoglycaemia. Late booking in gestation (≥28 weeks) was significantly associated with Apgar score < 7 at 5 min (AOR = 7.87; 95%CI: 1.11, 55.75). Maternal pre-eclampsia/pregnancy induced hypertension was another factor associated with low Apgar score in infants.

Conclusions

The study found high rates of adverse neonatal outcomes among off springs of Fijian women with GDM and showed that interventions targeting pregnant women who are overweight, had a previous baby weighing > 4 kg, had pre-eclampsia, delivered before 38 weeks of gestation, and those who booked later than 13 weeks in gestation, are needed to improve pregnancy outcomes.

End-stage kidney disease in Fiji

BACKGROUND

Chronic kidney disease is now a leading cause of death in Fiji. The country lacks even basic statistics about the incidence of end-stage kidney disease (ESKD) and presents significant challenges to conducting clinical research.

AIM

To estimate the incidence and characteristics of ESKD in Fijian adults.

METHODS

A retrospective cohort study was conducted of patients admitted to Colonial War Memorial Hospital in Suva, Fiji, in 2012. Suspected ESKD cases were identified from laboratory registers of renal function tests and confirmed through medical record review. Population data were from the Fijian Bureau of Statistics.

RESULTS

Screening identified 1474 suspected ESKD cases. Following removal of 763 duplicates and cases with discrepant identifiers, 711 unique cases remained. An additional 552 cases met exclusion criteria, including acute kidney injury (247), failure to be admitted (131) and pre-existing ESKD diagnosis (103), leaving 159 cases of confirmed ESKD. Median age was 57 years (interquartile range 47-65). Crude and age-adjusted ESKD incidence rates were 753 per million population (pmp) (95% confidence interval (CI) 636-870) and 793 pmp (95% CI 669-916), respectively, rising to 938 pmp (95% CI 804-1072) if African-American correction was removed. Diabetic nephropathy was the most common cause of ESKD (65.4%).

CONCLUSION

The incidence of ESKD in Fiji is high. This is a substantial public health problem that is likely impacting life expectancy and quality of life. Improving screening, detection and management of kidney disease should be given more prominence in programmes to address non-communicable diseases in Fiji and the Western Pacific.

Health Challenges of the Pacific Region: Insights From History, Geography, Social Determinants, Genetics, and the Microbiome

The Pacific region, also referred to as Oceania, is a geographically widespread region populated by people of diverse cultures and ethnicities. Indigenous people in the region (Melanesians, Polynesians, Micronesians, Papuans, and Indigenous Australians) are over-represented on national, regional, and global scales for the burden of infectious and non-communicable diseases. Although social and environmental factors such as poverty, education, and access to health-care are assumed to be major drivers of this disease burden, there is also developing evidence that genetic and microbiotic factors should also be considered. To date, studies investigating genetic and/or microbiotic links with vulnerabilities to infectious and non-communicable diseases have mostly focused on populations in Europe, Asia, and USA, with uncertain associations for other populations such as indigenous communities in Oceania. Recent developments in personalized medicine have shown that identifying ethnicity-linked genetic vulnerabilities can be important for medical management. Although our understanding of the impacts of the gut microbiome on health is still in the early stages, it is likely that equivalent vulnerabilities will also be identified through the interaction between gut microbiome composition and function with pathogens and the host immune system. As rapid economic, dietary, and cultural changes occur throughout Oceania it becomes increasingly important that further research is conducted within indigenous populations to address the double burden of high rates of infectious diseases and rapidly rising non-communicable diseases so that comprehensive development goals can be planned. In this article, we review the current knowledge on the impact of nutrition, genetics, and the gut microbiome on infectious diseases in indigenous people of the Pacific region.

Healthcare Providers' Perception of Healthcare System Factors Associated with Poor Glycemic Control among Type 2 Diabetes Patients in Fiji

OBJECTIVE

This study aims to explore the perceptions and experiences of healthcare providers regarding the role of healthcare system factors on glycemic control among type 2 diabetes (T2D) patients in Fiji in 2018.

METHODS

Nineteen healthcare providers (physicians and nurses) from three randomly selected urban healthcare centers in Suva, Fiji, were selected through purposive variation sampling to participate in three focus group discussions (FGDs). The participants in this study were healthcare providers working in diabetes clinics, and medical officers and nurse team leaders from the selected healthcare centers. The data were analyzed by means of thematic analysis using Attride-Stirling's thematic network analysis framework.

RESULTS

The majority of the participants (52.6%) were nurses, most of them female (84.2%), with a mean age of 39 years (SD ±9.2). A large part of the participants had been working in the diabetes clinics for more than 5 years (52.6%) and had more than 10 years' experience (52.6%) in their current employment. Five main healthcare system factors that may affect glycemic control were identified during thematic analysis: 1. Healthcare workforce (shortage of staff, high workload). 2. Medicine, consumables, and equipment (regular stock-outs of basic diabetes medicines and consumables, poorly equipped diabetes clinics). 3. Service delivery (lack of effective diabetes service delivery, continuum of care). 4. Healthcare information system (inadequate, not fully functional, unreliable). 5. Infrastructure (lack of supportive diabetes clinic infrastructure and processes).

CONCLUSIONS

Healthcare system factors influence glycemic control among T2D patients. Understanding these factors is important in order for healthcare providers to deliver an effective and efficient service for diabetes patients in Fiji.

Predictors of Dietary Diversity of Indigenous Food-Producing Households in Rural Fiji

Fiji, like other Pacific Islands, are undergoing economic and nutrition transitions that increase the risk of noncommunicable diseases (NCDs) due to changes of the food supply and dietary intake. This study aimed to examine dietary diversity (DD) in indigenous food-producing households in rural Fiji. Surveys were conducted with households from the Nadroga-Navosa, Namosi and Ba Provinces of Western Fiji in August 2018. Participants reported on foods consumed in the previous 24 h per the Household Dietary Diversity Score. Data was analysed using multinomial logistic regression. Of the 161 households, most exhibited medium DD (66%; M = 7.8 ± 1.5). Commonly consumed foods included sweets (98%), refined grains (97%) and roots/tubers (94%). The least consumed foods were orange-fleshed fruits (23%) and vegetables (35%), eggs (25%), legumes (32%) and dairy (32%). Households with medium DD were more likely to be unemployed (OR 3.2, p = 0.017) but less likely to have ≥6 occupants (OR = 0.4, p = 0.024) or purchase food ≥2 times/week (OR = 0.2, p = 0.023). Households with low DD were more likely to have low farm diversity (OR = 5.1, p = 0.017) or be unemployed (OR = 3.7, p = 0.047) but less likely to have ≥6 occupants (OR = 0.1, p = 0.001). During nutrition transitions, there is a need for public health initiatives to promote traditional diets high in vegetables, fruits and lean protein and agricultural initiatives to promote farm diversity.

Changes in proportional mortality from diabetes and circulatory disease in Mauritius and Fiji: possible effects of coding and certification

Background

Many developing countries are experiencing the epidemiological transition, with the majority of deaths attributed to cardiovascular disease, cancer, Type 2 diabetes (T2DM) and others. In some countries, large proportional mortality attributed to diabetes is evident in official mortality statistics, with Mauritius and Fiji rated as the highest in the world.

Methods

This study investigates trends in recorded diabetes and cardiovascular disease mortality in Mauritius and Fiji under coding from the International Classification of Diseases (ICD) versions 9 and 10, using mortality data reported from these countries to the World Health Organization (WHO).

Results

In Mauritius over 1981–2004, T2DM proportional mortality varied between 4% and 7% in males (M) and 5% and 9% in females (F). In 2005 there was a sudden increase to M 20% and F 25%, which continued to M 25% and F 30% by 2012. Over 1981–2004 the proportion of circulatory disease mortality rose from 44% to 49% in males, and from 46% to 57% in females. In 2005, circulatory disease mortality proportions fell precipitously to 34% in males and 37% in females, and declined to 31% and 34% by 2013. ICD–10 coding was introduced in 2005.

In Fiji, sharp rises in proportional T2DM mortality from 3% in both sexes in 2001 to M 15% and F 20% in 2002 were followed by more gradual trend increases to M 20% and F 26% by 2012–13. Circulatory disease proportions fell steeply from M 57% and F 53% in 2001 to M 44% and M 38% by 2004, with subsequent less steep declines to M 39% and F 30% by 2012. ICD–10 coding was introduced in 2001.

Conclusions

Large, abrupt changes in diabetes and circulatory disease proportional mortality in Fiji and Mauritius coincided with the local introduction of ICD–10 coding in different years. There is also evidence for diabetes-related misclassification of underlying cause of death in Australia and the USA. These artefacts can undermine accurate monitoring of cause of death for evaluation of effectiveness of prevention and control, especially of circulatory disease mortality which is demonstrably reversible in populations.

Strategic Planning for Tuberculosis Control in the Republic of Fiji

The tuberculosis (TB) health burden in Fiji has been declining in recent years, although challenges remain in improving control of the diabetes co-epidemic and achieving adequate case detection across the widely dispersed archipelago. We applied a mathematical model of TB transmission to the TB epidemic in Fiji that captured the historical reality over several decades, including age stratification, diabetes, varying disease manifestations, and incorrect diagnoses. Next, we simulated six intervention scenarios that are under consideration by the Fiji National Tuberculosis Program. Our findings show that the interventions were able to achieve only modest improvements in disease burden, with awareness raising being the most effective intervention to reduce TB incidence, and treatment support yielding the highest impact on mortality. These improvements would fall far short of the ambitious targets that have been set by the country, and could easily be derailed by moderate increases in the diabetes burden. Furthermore, the effectiveness of the interventions was limited by the extensive pool of latent TB infection, because the programs were directed at only active cases, and thus were unlikely to achieve the desired reductions in burden. Therefore, it is essential to address the co-epidemic of diabetes and treat people with latent TB infection.

The Global Burden of Diabetic Kidney Disease: Time Trends and Gender Gaps

PURPOSE OF REVIEW

Diabetes mellitus prevalence is increasing throughout the world as a consequence of growing rates of obesity, metabolic syndrome, and westernization of lifestyle. It is currently unknown to what extent these trends affect the global burden of diabetic kidney disease (DKD). This review seeks to describe the global burden of DKD and how it has changed throughout time using recently released results of the Global Burden of Disease 2017 Study.

RECENT FINDINGS

DKD prevalence has remained fairly stable at the global level and among many world regions since 1990. At the global level, the proportion of DKD deaths relative to other types of CKD is increasing. Certain world regions still have very high rates of DKD, whereas other world regions have decreasing prevalence and mortality. Screening will likely play an important role in mitigating the growing burden within high-risk regions.

Overview of trends in cardiovascular and diabetes risk factors in Fiji

CONTEXT

Fiji has undergone an epidemiological transition, characterised by declining infectious disease and childhood mortality, that has been offset by rising cardiovascular disease mortality. Other Pacific Island states are in a comparable situation.

OBJECTIVE

With a focus on Fiji, this study reviews and contextualises research performed by the authors and others that examines cardiovascular disease (CVD) and type 2 diabetes (T2DM) and their risk factors in Pacific Island states.

METHODS

This overview covers evidence for the causes and consequences of CVD risk factors and the epidemiological transition and reflects on biological and evolutionary hypotheses. It is based on studies the authors carried out that synthesised disparate population-based CVD risk factor surveys conducted in Fiji over 1980-2012.

RESULTS

Prevalences of obesity, T2DM and hypertension continue to increase in the Fiji population. Tobacco smoking prevalence has decreased, but remains relatively high in men compared to many developed countries. T2DM and hypertension trends, and CVD consequences related to diet, exercise and tobacco smoking, have placed the Fiji population in a variant of the epidemiological transition manifesting as a plateau in life expectancy similar to that of numerous developed countries during the mid-20th century.

CONCLUSION

There is evidence that risk factors and consequent CVD mortality can be reduced in populations. Obesity and T2DM reductions have been observed only in populations surviving in dire circumstances. Interventions to lower the prevalence of CVD and T2DM risk factors in the Fiji population require multi-faceted approaches, with continual monitoring and evaluation for their impact on these risk factors and morbidity and mortality outcomes.

The effect of sugar and processed food imports on the prevalence of overweight and obesity in 172 countries

Background

Studies find that economic, political, and social globalization – as well as trade liberalization specifically – influence the prevalence of overweight and obesity in countries through increasing the availability and affordability of unhealthful food. However, what are the mechanisms that connect globalization, trade liberalization, and rising average body mass index (BMI)? We suggest that the various sub-components of globalization interact, leading individuals in countries that experience higher levels of globalization to prefer, import, and consume more imported sugar and processed food products than individuals in countries that experience lower levels of globalization.

Method

This study codes the amount of sugar and processed food imports in 172 countries from 1995 to 2010 using the United Nations Comtrade dataset. We employ country-specific fixed effects (FE) models, with robust standard errors, to examine the relationship between sugar and processed foods imports, globalization, and average BMI. To highlight further the relationship between the sugar and processed food import and average BMI, we employ a synthetic control method to calculate a counterfactual average BMI in Fiji.

Conclusion

We find that sugar and processed food imports are part of the explanation to increasing average BMI in countries; after controlling for globalization and general imports and exports, sugar and processed food imports have a statistically and substantively significant effect in increasing average BMI. In the case of Fiji, the increased prevalence of obesity is associated with trade agreements and increased imports of sugar and processed food. The counterfactual estimates suggest that sugar and processed food imports are associated with a 0.5 increase in average BMI in Fiji.

Electronic supplementary material

The online version of this article (10.1186/s12992-018-0344-y) contains supplementary material, which is available to authorized users.

Declines and Plateaux in Smoking Prevalence Over Three Decades in Fiji

Objectives

To examine trends from 1980 to 2011 in daily tobacco smoking by sex, ethnicity, age, and urban/rural in Fiji Melanesian (i-Taukei) and Indian adults aged 25–64 years.

Methods

Unit record data from five population-based surveys (n = 14 528) allowed classification of participants as: (1) never-smoker, ex-smoker, or non-daily smoker; or (2) daily smoker, reporting smoking <20 or ≥20 tobacco products (cigarettes/cigars/pipes) a day. Trends were examined using spline analyses.

Results

Over 1980–2011 the prevalence of reported daily tobacco smoking decreased significantly in both sexes and ethnicities, with the greatest decline during 1980–2000. Declines were from 81.7% to 27.0% in i-Taukei men; 55.3% to 26.3% in Indian men; 48.1% to 9.5% in i-Taukei women; and 13.8% to 1.3% in Indian women (p < .0001). Declines were consistent across all age groups in men, while there were greater declines among older age groups in women; and greater declines from higher prevalences in rural compared to urban areas in both sexes and ethnicities. Smoking ≥20 tobacco products per day declined significantly in i-Taukei men from 8.0% to 1.9% (p < .0001); there were also declines in Indian men (4.6% to 2.0%) and i-Taukei women (2.6% to 0.6%), but these were not statistically significant; and Indian women remained <0.2% throughout the period.

Conclusions

Significant declines in daily tobacco smoking have occurred in Fiji in both sexes and ethnicities during the past 30 years, which is consistent with declines in tobacco apparent consumption and household expenditure. However, prevalence remains high in men at around 27% in 2011, with plateau at this level in i-Taukei.

Implications

This is the first study to show nationally representative population trends in tobacco smoking in a developing country over such a long period (>30 years) based on empirical unit record data (n = 14 528). Cardiovascular disease is a leading cause of mortality throughout the Pacific Island region. This is the first study to show evidence of substantial declines over several decades in a cardiovascular disease risk factor in a Pacific Island country, and provides important evidence for further research into the interventions and events which may have facilitated this decline.

An Analysis of The Morbidity and Mortality of Diabetes Mellitus in a Forensic Context

To investigate the spectrum of diseases seen in diabetes mellitus in a forensic context, all autopsy reports of diabetic individuals who presented to Forensic Science, South Australia (FSSA), over a 5-year period from 2005 to 2009 were studied. The leading cause of death was cardiovascular disease (55.0%), followed by unnatural deaths (15.4%) and infections (9.4%). In type 1 diabetics, principal causes of death included cardiovascular disease (44.7%), acute metabolic complications (18.7%), unnatural deaths (17.9%), and infections (8.9%). However, frequencies of these diseases differed in type 2 diabetics, with cardiovascular events responsible for 56.6% of cases, followed by unnatural deaths (15.0%) and infections (10.9%). A larger number of male deaths were seen in all disease categories, except respiratory and gastrointestinal where the frequencies were similar to females. Cardiovascular disease was the leading overall cause of death across all ages except in those under the age of 30 where metabolic complications were more common.

Overweight and obesity in New Caledonian adults: Results from measured and adjusted self-reported anthropometric data

AIMS

To estimate the overweight (OW) and obesity (Ob) prevalence and associated socio-demographic risk factors in New Caledonian adults aged 18-67years.

METHODS

From a randomly selected cross-sectional population survey, self-reported (n=2513) and measured (n=736) height and weight data were collected. Separate linear regression analyses for measured weight and height were performed, using cases with both self-reported weight and height and socio-demographic variables. The final weight and height assigned to each case was either measured or predicted from the regression (n=2075). OW prevalence was defined as: Body Mass Index (BMI) ≥25 and <30kg/m^-2; and Ob: BMI ≥30kg/m^-2. Samples were weighted to the general adult population. Prevalence and Odds ratios (ORs) were calculated by gender, and adjusted for socio-demographic variables, to assess differentials in OW, Ob and OW-Ob, using multinomial and logistic regressions.

RESULTS

Male (M) OW was 35% (95% CI: 31-38), Ob 29% (95% CI: 26-32) and OW-Ob 64% (95% CI: 60-67); female (F) OW was 26% (95% CI: 23-28), Ob 34% (95% CI: 31-37) and OW-Ob 60% (95% CI: 57-63). Compared to Melanesians (OR=1.0) for male/female: Polynesians had the highest prevalence of OW (1.7/1.5), Ob (4.7/3.5), and OW-Ob (3.0/2.5); New Caledonian-born Europeans had greater OW, Ob and OW-Ob (0.3/0.4) than immigrant Europeans (0.2/0.2).

CONCLUSIONS

Findings contribute to obesity comparisons with other Pacific Islands, and they establish trends in New Caledonia for targeting policies and strategies of prevention.

Measuring inequalities in the distribution of the Fiji Health Workforce

BACKGROUND

Despite the centrality of health personnel to the health of the population, the planning, production and management of human resources for health remains underdeveloped in many low- and middle-income countries (LMICs). In addition to the general shortage of health workers, there are significant inequalities in the distribution of health workers within LMICs. This is especially true for countries like Fiji, which face major challenges in distributing its health workforce across many inhabited islands.

METHODS

In this study, we describe and measure health worker distributional inequalities in Fiji, using data from the 2007 Population Census, and Ministry of Health records of crude death rates and health workforce personnel. We adopt methods from the economics literature including the Lorenz Curve/Gini Coefficient and Theil Index to measure the extent and drivers of inequality in the distribution of health workers at the sub-national level in Fiji for three categories of health workers: doctors, nurses, and all health workers (doctors, nurses, dentists and health support staff). Population size and crude death rates are used as proxies for health care needs.

RESULTS

There are greater inequalities in the densities of health workers at the provincial level, compared to the divisional level in Fiji - six of the 15 provinces fall short of the recommended threshold of 2.3 health workers per 1,000 people. The estimated decile ratios, Gini co-efficient and Thiel index point to inequalities at the provincial level in Fiji, mainly with respect to the distribution of doctors; however these inequalities are relatively small.

CONCLUSION

While populations with lower mortality tend to have a slightly greater share of health workers, the overall distribution of health workers on the basis of need is more equitable in Fiji than for many other LMICs. The overall shortage of health workers could be addressed by creating new cadres of health workers; employing increasing numbers of foreign doctors, including specialists; and increasing funding for health worker training, as already demonstrated by the Fiji government. Close monitoring of the equitable distribution of additional health workers in the future is critical.

Demographic features and visual outcomes of patients presenting to diabetic photo-screening and treated for sight threatening retinopathy in Fiji

AIM

To describe the demographic features and visual outcomes of patients presenting to photo-screening services, and treated for sight threatening retinopathy (STR) in a low resource setting, Fiji.

METHODS

A retrospective review of all new patients who presented for diabetic photo-screening at the Diabetic Eye Clinic, Suva in 2010. Fundus images were graded using standardised guidelines. Patient demographics, retinopathy grading and visual acuity data were extracted from the database and analyzed. Patients that received laser therapy and still attending follow up in 2012 were examined for disease progression.

RESULTS

Totally 2236 patients were photo-screened, 87% (3870/4472) of images were gradable. STR was observed in 26% (988/3870) with advanced STR (proliferative retinopathy/severe maculopathy) in 10% (385/3870). Of those with STR, 59% had BCVA ≥6/18, 31% with advanced STR were <6/60. Male gender [odds ratio (OR) 1.59; 1.20-2.12], history of hypertension (OR 1.36; 1.03-1.80) and peripheral neuropathy (OR 1.41; 1.01-1.95) were predictive of advanced STR. In 2012, 32% (315/988) attended follow up with 69% exhibiting advanced STR compared with 53% of the same cohort in 2010. Laser photocoagulation was administered to 212 eyes (212/3870, 5%) with retinopathy and maculopathy progression observed in 52% and 33% respectively. BCVA ≥6/18 was noted in 67% (143/212) of treated eyes. Improved glycaemic control (OR 46.52; 1.50-1441.90) amongst those with advanced STR was predictive of eyes that maintained good vision.

CONCLUSION

In Fiji, a quarter of new patients presenting to photo-screening have STR with a third of those with advanced STR having already loss vision. Improved glycaemic control and timely treatment of patients with sight threatening complications is important in halting disease progression.

Trends in diabetes and obesity in Samoa over 35 years, 1978-2013

AIMS

Population surveys of Type 2 diabetes mellitus and obesity conducted in Samoa over three decades have used varying methodologies and definitions. This study standardizes measures, and trends of Type 2 diabetes mellitus and obesity for 1978-2013 are projected to 2020 for adults aged 25-64 years.

METHODS

Unit records from eight surveys (n = 12 516) were adjusted to the previous census for Division of residence, sex and age to improve national representativeness. Type 2 diabetes mellitus is defined as a fasting plasma glucose ≥ 7.0 mmol/l and/or on medication. Obesity is defined as BMI ≥ 30 kg/m² . Random effects meta-regression was employed to assess time trends following logit transformation. Poisson regression from strata was used to assess the effects of mean BMI changes on Type 2 diabetes mellitus period trends.

RESULTS

Over 1978-2013, Type 2 diabetes mellitus prevalence increased from 1.2% to 19.6% in men (2.3% per 5 years), and from 2.2% to 19.5% in women (2.2% per 5 years). Obesity prevalence increased from 27.7% to 53.1% in men (3.6% per 5 years) and from 44.4% to 76.7% (4.5% per 5 years) in women. Type 2 diabetes mellitus and obesity prevalences increased in all age groups. From period trends, Type 2 diabetes mellitus prevalence in 2020 is projected to be 26% in men and women. Projected obesity prevalence is projected to be 59% in men and 81% in women. Type 2 diabetes mellitus period trends attributable to BMI increase are estimated as 31% (men) and 16% (women), after adjusting for age.

CONCLUSION

This is the first study to produce trends of Type 2 diabetes mellitus and obesity in Samoa based on standardized data from population surveys. Type 2 diabetes mellitus is equally prevalent in both sexes, and obesity is widespread. Type 2 diabetes mellitus prevalence in Samoa is likely to continue to increase in the near future.

Diabetes incidence and projections from prevalence surveys in Samoa over 1978-2013

Objectives

This study estimates type 2 diabetes (T2DM) incidence in Samoans aged 25–64 years from sequential, irregularly spaced, cross-sectional population prevalence surveys.

Methods

T2DM prevalence from eight population surveys conducted over 1978–2013 (n = 12,516) was adjusted for census region, sex, and 5-year age group to the nearest previous census. Annual T2DM incidence was calculated from adjusted prevalences (by sex), using birth cohorts constructed from age-period matrices. Projections of T2DM incidence to 2020 were estimated, based on various scenarios of population weight change using Poisson regression.

Results

Over 1978–2013, T2DM incidence was estimated to increase from 1.12 to 8.44 per 1000 person-years in men and from 2.55 to 8.04 per 1000 in women. Based on regression modeling, if mean population weight was stabilized from 2013, absolute incidence reductions of 0.9 per 1000 person-years (7% lower) are predicted in 2020, compared to the current period trend in weight gain.

Conclusions

T2DM incidence can be calculated from irregularly conducted population risk factor surveys which may be useful in developing countries with limited resources.

Electronic supplementary material

The online version of this article (doi:10.1007/s00038-017-0961-x) contains supplementary material, which is available to authorized users.

Six-year changes in the prevalence of obesity and obesity-related diseases in Northeastern China from 2007 to 2013

Obesity and obesity-related diseases are important public health challenges. In this study, we aimed to provide updated trends in the prevalence of these conditions. We conducted two independent cross-sectional surveys of the general population aged 20–75 years in 2007 and 2013 in Jilin, China. A total of 3636 (1719 males) and 1359 (602 males) participants were enrolled in the 2007 and 2013 surveys, respectively. Obesity-related diseases were defined as type 2 diabetes, hypertension, dyslipidemia and non-alcoholic fatty liver disease (NAFLD). The age-standardized prevalence of obesity, overweight, diabetes, pre-diabetes, dyslipidemia and NAFLD increased from 2007 to 2013 from 15.82% to 19.41%, 35.85% to 41.80%, 6.37% to 9.23%, 16.77% to 23.49%., 53.46% to 65.50%, and 23.48% to 44.31% in males, respectively, and from 13.18% to 18.77%, 31.11% to 37.54%, 4.41% to 8.48%, 8.10% to 16.49%, 41.96% to 54.70%, and 17.56% to 43.06% in females, respectively. However, the prevalence of hypertension remained stable (males: 38.10% vs. 38.63% and females: 33.04% vs. 33.01% in 2007 and 2013, respectively). The prevalence of obesity and obesity-related diseases, except for hypertension, increased significantly in the general population in Northeastern China. More targeted measures should be implemented to address the serious challenges presented by these diseases.

Diabetes incidence and projections from prevalence surveys in Fiji

Background

Type 2 diabetes mellitus (T2DM) incidence is traditionally derived from cohort studies that are not always feasible, representative, or available. The present study estimates T2DM incidence in Fijian adults from T2DM prevalence estimates assembled from surveys of 25–64 year old adults conducted over 30 years (n = 14,288).

Methods

T2DM prevalence by five-year age group from five population-based risk factor surveys conducted over 1980–2011 were variously adjusted for urban-rural residency, ethnicity, and sex to previous censuses (1976, 1986, 1996, 2009) to improve representativeness. Prevalence estimates were then used to calculate T2DM incidence based on birth cohorts from the age-period (Lexis) matrix following the Styblo technique, first used to estimate annual risk of tuberculosis infection (incidence) from sequential Mantoux population surveys. Poisson regression of year, age, sex, and ethnicity strata (n = 160) was used to develop projections of T2DM prevalence and incidence to 2020 based on various scenarios of population weight measured by body mass index (BMI) change.

Results

T2DM prevalence and annual incidence increased in Fiji over 1980–2011. Prevalence was higher in Indians and men than i-Taukei and women. Incidence was higher in Indians and women. From regression analyses, absolute reductions of 2.6 to 5.1% in T2DM prevalence (13–26% lower), and 0.5–0.9 per 1000 person-years in incidence (8–14% lower), could be expected in 2020 in adults if mean population weight could be reduced by 1–4 kg, compared to the current period trend in weight gain.

Conclusions

This is the first application of the Styblo technique to calculate T2DM incidence from population-based prevalence surveys over time. Reductions in population BMI are predicted to reduce T2DM incidence and prevalence in Fiji among adults aged 25–64 years.

Electronic supplementary material

The online version of this article (doi:10.1186/s12963-016-0114-0) contains supplementary material, which is available to authorized users.

Erroneous inflation of diabetes prevalence: Are there global implications?

Comparison of the prevalence of type 2 diabetes mellitus (T2DM) in adults aged 25-64 years in selected Pacific Island countries using whole blood and plasma glucose cut-off points. Unit records of STEPwise approach to Surveillance (STEPS) surveys obtained from Fiji, Samoa, and Tonga Ministries of Health; T2DM prevalence recalculated using whole blood and plasma cut-off points. Shaded bars indicate T2DM prevalence based on correct glucose cut-off points for the glucose meter used (fasting blood glucose [FBG] ≥6.1 mmol/L for early surveys^1,3,5 ; fasting plasma glucose [FPG] ≥7.0 mmol/L for later surveys),^2,4,6 whereas open bars show T2DM prevalence based on incorrect glucose cut-off points (FPG ≥6.1 mmol/L for later surveys).^2,4,6 Highlights Incorrect glucose cut-off points were applied to the Fiji 2011, Samoa 2013, and Tonga 2012 STEPS surveys. This doubled the actual T2DM prevalences compared to using the correct glucose cut-off points. The errors occurred due to modern glucose meters producing measurements in plasma-equivalent concentrations from whole blood samples. The incorrect whole blood glucose cut-off (≥6.1mmol/L) was applied instead of the correct plasma glucose cut-off (≥7.0mmol/L). This error likely affects other Pacific states, and may have global ramifications.

Diabetes mellitus and its complications in India

India is one of the epicentres of the global diabetes mellitus pandemic. Rapid socioeconomic development and demographic changes, along with increased susceptibility for Indian individuals, have led to the explosive increase in the prevalence of diabetes mellitus in India over the past four decades. Type 2 diabetes mellitus in Asian Indian people is characterized by a young age of onset and occurrence at low levels of BMI. Available data also suggest that the susceptibility of Asian Indian people to the complications of diabetes mellitus differs from that of white populations. Management of this disease in India faces multiple challenges, such as low levels of awareness, paucity of trained medical and paramedical staff and unaffordability of medications and services. Novel interventions using readily available resources and technology promise to revolutionise the care of patients with diabetes mellitus in India. As many of these challenges are common to most developing countries of the world, the lessons learnt from India's experience with diabetes mellitus are likely to be of immense global relevance. In this Review, we discuss the epidemiology of diabetes mellitus and its complications in India and outline the advances made in the country to ensure adequate care. We make specific references to novel, cost-effective interventions, which might be of relevance to other low-income and middle-income countries of the world.

Absolute cardiovascular risk in a Fiji medical zone

BACKGROUND

The population of Fiji has experienced emergence of non-communicable disease (NCD) and a plateau in life expectancy over the past 20 years.

METHODS

A mini-STEPS survey (n = 2765) was conducted in Viseisei in Western Fiji to assess NCD risk factors (RFs) in i-Taukei (Melanesians) and those of Indian descent aged 25-64 years (response 73 %). Hypertension (HT) was defined as systolic blood pressure (BP) ≥140 mmHg or diastolic BP ≥90 mmHg or on medication for HT; type 2 diabetes mellitus (T2DM) as fasting plasma glucose ≥7.0 mmol/L or on medication for T2DM; and obesity as a body mass index (kilograms/height(metres)(2)) ≥30. Data were age-adjusted to 2007 Fiji Census. Associations between RFs and ethnicity/education were investigated. Comparisons with Fiji STEPS surveys were undertaken, and the absolute risk of a cardiovascular disease (CVD) event/death in 10 years was estimated from multiple RF charts.

RESULTS

NCD/RFs increased with age except excessive alcohol intake and daily smoking (women) which declined. Daily smoking was higher in men 33 % (95 % confidence interval: 31-36) than women 14 % (12-116); women were more obese 40 % (37-43) than men 23 % (20-26); HT was similar in men 37 % (34-40) and women 34 % (31-36), as was T2DM in men 15 % (13-17) and women 17 % (15-19). i-Taukei men had an odds ratio (OR) of 0.41 (0.28-0.58) for T2DM compared to Indians (1.00); and i-Taukei (both sexes) had a higher OR for obesity and low fruit/vegetable intake, daily smoking, excessive alcohol intake and HT in females. Increasing education correlated with lesser smoking, but with higher obesity and lower fruit/vegetable intake. Compared to the 2011 Fiji STEPS survey, no significant differences were evident in obesity, HT or T2DM prevalences. The proportion (40-64 years) classified at high or very high risk (≥20 %) of a CVD event/death (over 10 years) based on multiple RFs was 8.3 % for men (8.1 % i-Taukei, 8.5 % Indian), and 6.7 % for women (7.9 % i-Taukei, 6.0 % Indian).

CONCLUSIONS

The results of the survey highlight the need for individual and community interventions to address the high levels of NCD/RFs. Evaluation of interventions is needed in order to inform NCD control policies in Fiji and other Pacific Island nations.

Overweight and Obesity and Associated Factors among School-Aged Adolescents in Six Pacific Island Countries in Oceania

The aim of this study was to assess overweight and obesity and associated factors in school-going adolescents in six Pacific Island countries in Oceania. The sample included 10,424 school-going adolescents predominantly 13–16 years old from Fiji, Kiribati, Samoa, Solomon Islands, Tonga, and Vanuatu. Bivariate and multivariable analyses were conducted to assess the relationship between dietary behaviour, substance use, physical activity, psychosocial factors, social-familial influences, and overweight or obesity. The prevalence of overweight and obesity was determined based on self-reported height and weight and the international child body mass index standards. Results indicate a prevalence of overweight or obesity of 24.3% and obesity of 6.1% in the six countries, ranging in terms of overweight or obesity and obesity from 12.0% and 0.4% in Vanuatu to 58.7% and 21.1% in Tonga, respectively. In multivariable regression analysis, being female was associated with overweight, carbonated soft drink use with obesity, sedentary behaviour with overweight or obesity, suicidal ideation with overweight, having close friends and peer support with overweight and obesity, parental or guardian supervision with overweight, and parental or guardian bonding was associated with overweight or obesity. High prevalence rates of overweight and obesity were found and several factors identified which can help guide interventions.