Diabetes incidence and projections from prevalence surveys in Fiji

Stephen Morrell, Sophia Lin, Isimeli Tukana, Christine Linhart, Richard Taylor, Penina Vatucawaqa, Dianna J. Magliano, Paul Zimmet

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

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.

LanguageEnglish
Article number45
JournalPopulation Health Metrics
Volume14
Issue number1
DOIs
Publication statusPublished - 25 Nov 2016

Keywords

  • Developing country
  • Fiji
  • Incidence
  • Obesity
  • Pacific islands
  • Prevalence
  • Trends
  • Type 2 diabetes mellitus

ASJC Scopus subject areas

  • Epidemiology
  • Public Health, Environmental and Occupational Health

Cite this

Morrell, S., Lin, S., Tukana, I., Linhart, C., Taylor, R., Vatucawaqa, P., ... Zimmet, P. (2016). Diabetes incidence and projections from prevalence surveys in Fiji. Population Health Metrics, 14(1), [45]. https://doi.org/10.1186/s12963-016-0114-0
Morrell, Stephen ; Lin, Sophia ; Tukana, Isimeli ; Linhart, Christine ; Taylor, Richard ; Vatucawaqa, Penina ; Magliano, Dianna J. ; Zimmet, Paul. / Diabetes incidence and projections from prevalence surveys in Fiji. In: Population Health Metrics. 2016 ; Vol. 14, No. 1.
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Morrell, S, Lin, S, Tukana, I, Linhart, C, Taylor, R, Vatucawaqa, P, Magliano, DJ & Zimmet, P 2016, 'Diabetes incidence and projections from prevalence surveys in Fiji', Population Health Metrics, vol. 14, no. 1, 45. https://doi.org/10.1186/s12963-016-0114-0

Diabetes incidence and projections from prevalence surveys in Fiji. / Morrell, Stephen; Lin, Sophia; Tukana, Isimeli; Linhart, Christine; Taylor, Richard; Vatucawaqa, Penina; Magliano, Dianna J.; Zimmet, Paul.

In: Population Health Metrics, Vol. 14, No. 1, 45, 25.11.2016.

Research output: Contribution to journalArticle

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T1 - Diabetes incidence and projections from prevalence surveys in Fiji

AU - Morrell, Stephen

AU - Lin, Sophia

AU - Tukana, Isimeli

AU - Linhart, Christine

AU - Taylor, Richard

AU - Vatucawaqa, Penina

AU - Magliano, Dianna J.

AU - Zimmet, Paul

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N2 - 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.

AB - 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.

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Morrell S, Lin S, Tukana I, Linhart C, Taylor R, Vatucawaqa P et al. Diabetes incidence and projections from prevalence surveys in Fiji. Population Health Metrics. 2016 Nov 25;14(1). 45. https://doi.org/10.1186/s12963-016-0114-0