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- 1From: Population Health Metrics. (Vol. 11, Issue 1) Peer-ReviewedBackground Although diabetes is one of the most costly and rapidly increasing serious chronic diseases worldwide, the optimal mix of strategies to reduce diabetes prevalence has not been determined. Methods...
- 2From: Population Health Metrics. (Vol. 11, Issue 1) Peer-ReviewedBackground Age of onset is an important outcome to characterize a population with a chronic disease. With respect to social, cognitive, and physical aspects for patients and families, dementia is especially...
- 3From: Population Health Metrics. (Vol. 11, Issue 1) Peer-ReviewedBackground The United States spends more than any other country on health care. The poor relative performance of the US compared to other high-income countries has attracted attention and raised questions about the...
- 4From: Population Health Metrics. (Vol. 11, Issue 1) Peer-ReviewedBackground Selection bias is common in clinic-based HIV surveillance. Clinics located in HIV hotspots are often the first to be chosen and monitored, while clinics in less prevalent areas are added to the...
- 5From: Population Health Metrics. (Vol. 11, Issue 1) Peer-ReviewedBackground Estimates of under-5 mortality at the national level for countries without high-quality vital registration systems are routinely derived from birth history data in censuses and surveys. Subnational or...
- 6From: Population Health Metrics. (Vol. 11, Issue 1) Peer-ReviewedBackground The analysis of multiple causes of death data has been applied in the United States to examine the population burden of chronic liver disease (CLD) and to assess time trends of alcohol-related and...
- 7From: Population Health Metrics. (Vol. 11, Issue 1) Peer-ReviewedBackground There is strong evidence on the efficacy of behavioral modification and treatment for reducing diabetes incidence and diabetes-related morbidity and mortality in persons with pre-diabetes and diabetes. But...
- 8From: Population Health Metrics. (Vol. 11, Issue 1) Peer-ReviewedBackground The South Australian Department of Health has administered the Active Australia Survey triennially since 1998 to assess physical activity levels in the South Australian adult population. Survey findings...
- 9From: Population Health Metrics. (Vol. 11, Issue 1) Peer-ReviewedBackground The estimated gap in life expectancy (LE) between Indigenous and non-Indigenous Australians was 12 years for men and 10 years for women, whereas the Northern Territory Indigenous LE gap was at least 50%...
- 10From: Population Health Metrics. (Vol. 11, Issue 1) Peer-ReviewedBackground Well-being is now accepted as one of four cross-cutting measures in gauging progress for Healthy People 2020. This shift to population indicators of well-being redresses notions of health that have focused...
- 11From: Population Health Metrics. (Vol. 11, Issue 1) Peer-ReviewedAuthor(s): Bruce Neal1 Commentary The enormous burden of ill health caused by overweight and obesity is well understood, particularly in developed countries like the United States, which have seen massive...
- 12From: Population Health Metrics. (Vol. 11, Issue 1) Peer-ReviewedIntroduction The long average incubation time from HIV infection to AIDS makes it difficult to estimate the recent tendencies of HIV from AIDS incidence data. The objective of this study was to investigate the...
- 13From: Population Health Metrics. (Vol. 11, Issue 1) Peer-ReviewedBackground Although the relationship between self-rated health (SRH) and physical and mental health is well documented in developed countries, very few studies have analyzed this association in the developing world,...
- 14From: Population Health Metrics. (Vol. 11, Issue 1) Peer-ReviewedNeisseria meningitidis is one of the leading causes of bacterial meningitis globally and can also cause sepsis, pneumonia, and other manifestations. In countries with high endemic rates, the disease burden places an...
- 15From: Population Health Metrics. (Vol. 11, Issue 1) Peer-ReviewedBackground While many studies have examined differences between body mass index (BMI) categories in terms of mortality risk and health-related quality of life (HRQL), little is known about the effect of body weight...
- 16From: Population Health Metrics. (Vol. 11, Issue 1) Peer-ReviewedBackground Published estimates of Aboriginal mortality and life expectancy (LE) for the eastern Australian states are derived from demographic modelling techniques to estimate the population and extent of...
- 17From: Population Health Metrics. (Vol. 11, Issue 1) Peer-ReviewedThe Millennium Development Goals (MDGs) have prompted an expansion in approaches to deriving health metrics to measure progress toward their achievement. Accurate measurements should take into account the high degrees...
- 18From: Population Health Metrics. (Vol. 11, Issue 1) Peer-ReviewedBackground The relationship between health services and population outcomes is an important area of public health research that requires bringing together data on outcomes and the relevant service environment....
- 19From: Population Health Metrics. (Vol. 11, Issue 1) Peer-ReviewedDemographic estimates of population at risk often underpin epidemiologic research and public health surveillance efforts. In spite of their central importance to epidemiology and public-health practice, little previous...
- 20From: Population Health Metrics. (Vol. 11, Issue 1) Peer-ReviewedBackground Obesity and physical inactivity are associated with several chronic conditions, increased medical care costs, and premature death. Methods We used the Behavioral Risk Factor Surveillance System...