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      Evidence for low high-density lipoprotein cholesterol levels in Australian indigenous peoples: a systematic review

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          Abstract

          Background

          Low plasma high-density lipoprotein cholesterol (HDL-C) levels are a strong, independent, but poorly understood risk factor for cardiovascular disease (CVD). Although this atherogenic lipid abnormality has been widely reported in Australia’s Indigenous peoples, Aboriginal and Torres Strait Islanders, the evidence has not come under systematic review. This review therefore examines published data for Indigenous Australians reporting 1) mean HDL-C levels for both sexes and 2) factors associated with low HDL-C.

          Methods

          PubMed, Medline and Informit ATSI Health databases were systematically searched between 1950 and 2012 for studies on Indigenous Australians reporting mean HDL-C levels in both sexes. Retrieved studies were evaluated by standard criteria. Low HDL-C was defined as: <1.0 mmol/L. Analyses of primary data associating measures of HDL-C with other CVD risk factors were also performed.

          Results

          Fifteen of 93 retrieved studies were identified for inclusion. These provided 58 mean HDL-C levels; 29 for each sex, most obtained in rural/regional (20%) or remote settings (60%) and including 51–1641 participants. For Australian Aborigines, mean HDL-C values ranged between 0.81-1.50 mmol/L in females and 0.76-1.60 mmol/L in males. Two of 15 studies reported HDL-C levels for Torres Strait Islander populations, mean HDL-C: 1.00 or 1.11 mmol/L for females and 1.01 or 1.13 mmol/L for males. Low HDL-C was observed only in rural/regional and remote settings - not in national or urban studies (n = 3) in either gender. Diabetes prevalence, mean/median waist-to-hip ratio and circulating C-reactive protein levels were negatively associated with HDL-C levels (all P < 0.05). Thirty-four per cent of studies reported lower mean HDL-C levels in females than in males.

          Conclusions

          Very low mean HDL-C levels are common in Australian Indigenous populations living in rural and remote communities. Inverse associations between HDL-C and central obesity, diabetes prevalence and inflammatory markers suggest a particularly adverse CVD risk factor profile. An absence of sex dichotomy in HDL-C levels warrants further investigation.

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          Most cited references54

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          European guidelines on cardiovascular disease prevention in clinical practice: executive summary: Fourth Joint Task Force of the European Society of Cardiology and Other Societies on Cardiovascular Disease Prevention in Clinical Practice (Constituted by representatives of nine societies and by invited experts).

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            Burden of disease and injury in Aboriginal and Torres Strait Islander Peoples: the Indigenous health gap.

            Disparities in health status between Aboriginal and Torres Strait Islander peoples and the total Australian population have been documented in a fragmentary manner using disparate health outcome measures. We applied the burden of disease approach to national population health datasets and Indigenous-specific epidemiological studies. The main outcome measure is the Indigenous health gap, i.e. the difference between current rates of Disability-Adjusted Life Years (DALYs) by age, sex and cause for Indigenous Australians and DALY rates if the same level of mortality and disability as in the total Australian population had applied. The Indigenous health gap accounted for 59% of the total burden of disease for Indigenous Australians in 2003 indicating a very large potential for health gain. Non-communicable diseases explained 70% of the health gap. Tobacco (17%), high body mass (16%), physical inactivity (12%), high blood cholesterol (7%) and alcohol (4%) were the main risk factors contributing to the health gap. While the 26% of Indigenous Australians residing in remote areas experienced a disproportionate amount of the health gap (40%) compared with non-remote areas, the majority of the health gap affects residents of non-remote areas. Comprehensive information on the burden of disease for Indigenous Australians is essential for informed health priority setting. This assessment has identified large health gaps which translate into opportunities for large health gains. It provides the empirical base to determine a more equitable and efficient funding of Indigenous health in Australia. The methods are replicable and would benefit priority setting in other countries with great disparities in health experienced by Indigenous peoples or other disadvantaged population groups.
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              The Australian Diabetes, Obesity and Lifestyle Study (AusDiab)--methods and response rates.

              The Australian Diabetes, Obesity and Lifestyle Study (AusDiab) addresses the urgent need for data on diabetes prevalence, risk factors and associated conditions in Australia. Here we describe the methods used and the response rates obtained. AusDiab was a population-based cross-sectional survey of national diabetes mellitus prevalence and associated risk factors in people aged > or =25 years, conducted between May 1999 and December 2000 in the six states and the Northern Territory of Australia. The study involved an initial household interview, followed by a biomedical examination that included an oral glucose tolerance test (OGTT), standard anthropometric tests, blood pressure measurements and the administration of questionnaires. Of the 20347 eligible people (aged > or =25 years and resident at the address for > or =6 months) who completed a household interview, 11247 (55.3%) attended for the biomedical examination. Of those who completed the biomedical examination 55.1% were female. Comparisons with the 1998 Australian population estimates showed that younger age responders were under-represented at the biomedical examination, while the middle-aged and older age groups were over-represented. Weighting of the AusDiab data for age and gender have corrected for this bias. AusDiab, which is the largest national diabetes prevalence study undertaken in a developed nation to have used an OGTT, provides a valuable national resource for the study of the prevalence and possible causes of diabetes, as well as identifying possible risk factors that may lead to diabetes. Furthermore, it generates the baseline data for a prospective 5-year cohort study. The data will be important for national and regional public health and lifestyle education and health promotion programs.
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                Author and article information

                Contributors
                Journal
                BMC Public Health
                BMC Public Health
                BMC Public Health
                BioMed Central
                1471-2458
                2014
                2 June 2014
                : 14
                : 545
                Affiliations
                [1 ]Baker IDI Heart and Diabetes Institute, 75 Commercial Road, Melbourne, Victoria 3004, Australia
                [2 ]Department of Medicine (St. Vincent’s), University of Melbourne, Clinical Sciences Building, 29 Regent Street, Fitzroy, Melbourne, Victoria 3065, Australia
                [3 ]School of Population and Global Health, University of Melbourne, 207 Bouverie Street, Melbourne, Victoria 3065, Australia
                [4 ]School of Population Health, Division of Health Sciences, University of South Australia, North Terrace, Adelaide, South Australia 5000, Australia
                [5 ]Department of Nutrition and Dietetics, Monash University, 264 Ferntree Gully Road Notting Hill, Victoria 3168 Melbourne, Australia
                Article
                1471-2458-14-545
                10.1186/1471-2458-14-545
                4067101
                24888391
                4308bd7a-058b-4ddc-8907-180d670f9fe1
                Copyright © 2014 Lyons et al.; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 4 March 2014
                : 23 May 2014
                Categories
                Research Article

                Public health
                indigenous,australian aborigines,torres strait islanders,lipids,dyslipidaemia,high-density lipoprotein cholesterol,cardiovascular disease,cardiovascular disease risk factors,cardiometabolic,non-communicable disease

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