Saidi Olfa, O'Flaherty Martin, Mansour Nadia Ben, Aissi Wafa, Lassoued Olfa, Capewell Simon, Critchley Julia A, Malouche Dhafer, Romdhane Habiba Ben
Cardiovascular Epidemiology and Prevention Research Laboratory, Faculty of medicine of Tunis, Tunis, Tunisia.
Department of Public Health and Policy, University of Liverpool, Liverpool, UK.
BMC Public Health. 2015 Feb 7;15:104. doi: 10.1186/s12889-015-1416-z.
Most projections of type 2 diabetes (T2D) prevalence are simply based on demographic change (i.e. ageing). We developed a model to predict future trends in T2D prevalence in Tunisia, explicitly taking into account trends in major risk factors (obesity and smoking). This could improve assessment of policy options for prevention and health service planning.
The IMPACT T2D model uses a Markov approach to integrate population, obesity and smoking trends to estimate future T2D prevalence. We developed a model for the Tunisian population from 1997 to 2027, and validated the model outputs by comparing with a subsequent T2D prevalence survey conducted in 2005.
The model estimated that the prevalence of T2D among Tunisians aged over 25 years was 12.0% in 1997 (95% confidence intervals 9.6%-14.4%), increasing to 15.1% (12.5%-17.4%) in 2005. Between 1997 and 2005, observed prevalence in men increased from 13.5% to 16.1% and in women from 12.9% to 14.1%. The model forecast for a dramatic rise in prevalence by 2027 (26.6% overall, 28.6% in men and 24.7% in women). However, if obesity prevalence declined by 20% in the 10 years from 2013, and if smoking decreased by 20% over 10 years from 2009, a 3.3% reduction in T2D prevalence could be achieved in 2027 (2.5% in men and 4.1% in women).
This innovative model provides a reasonably close estimate of T2D prevalence for Tunisia over the 1997-2027 period. Diabetes burden is now a significant public health challenge. Our model predicts that this burden will increase significantly in the next two decades. Tackling obesity, smoking and other T2D risk factors thus needs urgent action. Tunisian decision makers have therefore defined two strategies: obesity reduction and tobacco control. Responses will be evaluated in future population surveys.
大多数2型糖尿病(T2D)患病率预测仅仅基于人口结构变化(即老龄化)。我们开发了一个模型来预测突尼斯T2D患病率的未来趋势,明确考虑了主要风险因素(肥胖和吸烟)的趋势。这有助于改进对预防政策选项的评估以及卫生服务规划。
IMPACT T2D模型采用马尔可夫方法整合人口、肥胖和吸烟趋势,以估计未来T2D患病率。我们为1997年至2027年的突尼斯人口开发了一个模型,并通过与2005年随后进行的T2D患病率调查结果进行比较来验证模型输出。
该模型估计,1997年25岁以上突尼斯人的T2D患病率为12.0%(95%置信区间9.6%-14.4%),2005年增至15.1%(12.5%-17.4%)。1997年至2005年期间,男性的观察患病率从13.5%增至16.1%,女性从12.9%增至14.1%。该模型预测到2027年患病率将急剧上升(总体为26.6%,男性为28.6%,女性为24.7%)。然而,如果肥胖患病率在2013年起的10年内下降20%,且吸烟率在2009年起的10年内下降20%,那么到2027年T2D患病率可降低3.3%(男性降低2.5%,女性降低4.1%)。
这个创新模型对1997 - 2027年期间突尼斯的T2D患病率提供了较为接近的估计。糖尿病负担目前是一项重大的公共卫生挑战。我们的模型预测,在未来二十年中这一负担将显著增加。因此,应对肥胖、吸烟和其他T2D风险因素需要紧急行动。突尼斯决策者因此制定了两项策略:减少肥胖和控制烟草。未来的人口调查将对应对措施进行评估。