Decomposing Indigenous life expectancy gap by risk factors: a life table analysis

Yuejen Zhao, J Wright, Stephen Begg, Steven Guthridge

    Research output: Contribution to journalArticlepeer-review

    24 Citations (Scopus)


    Background: 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% greater than the national figures. This study aims to explain the Indigenous LE gap by common modifiable risk factors.Methods: This study covered the period from 1986 to 2005. Unit record death data from the Northern Territory were used to assess the differences in LE at birth between the Indigenous and non-Indigenous populations by socioeconomic disadvantage, smoking, alcohol abuse, obesity, pollution, and intimate partner violence. The population attributable fractions were applied to estimate the numbers of deaths associated with the selected risks. The standard life table and cause decomposition technique was used to examine the individual and joint effects on health inequality.Results: The findings from this study indicate that among the selected risk factors, socioeconomic disadvantage was the leading health risk and accounted for one-third to one-half of the Indigenous LE gap. A combination of all six selected risks explained over 60% of the Indigenous LE gap.Conclusions: Improving socioeconomic status, smoking cessation, and overweight reduction are critical to closing the Indigenous LE gap. This paper presents a useful way to explain the impact of risk factors of health inequalities, and suggests that reducing poverty should be placed squarely at the centre of the strategies to close the Indigenous LE gap.

    Original languageEnglish
    Article number1
    Number of pages9
    JournalPopulation Health Metrics
    Issue number1
    Publication statusPublished - 29 Jan 2013


    • Health status disparities
    • Indigenous population
    • Life expectancy
    • Risk factors
    • Socioeconomic factors


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