Roy Paritosh K, Khan Md Hasinur R, Akter Tahmina, Rahman M Shafiqur
Institute of Statistical Research and Training (ISRT), University of Dhaka, Dhaka, Bangladesh.
Institute of Statistical Research and Training (ISRT), University of Dhaka, Dhaka, Bangladesh.
Spat Spatiotemporal Epidemiol. 2019 Jun;29:71-83. doi: 10.1016/j.sste.2019.03.003. Epub 2019 Apr 5.
Bangladesh has been experiencing an epidemiological transition from communicable diseases to non-communicable disease (NCDs), with a rapid increase in the NCD related morbidity and mortality in the last decade. Hypertension and diabetes are two important risk factors of NCDs that significantly increase the burden of cardiovascular diseases and risk of death. While the prevalence of people with both hypertension and diabetes has been increasing dramatically over time, it is essential to identify relatively more prevalent socio-demographic groups and geographical regions (local administrative districts) to reduce the NCDs related deaths in an urgent basis. This study focused on examining the association of socio-demographic factors with both hypertension and diabetes and exploring the regional variations in their prevalence using nationally representative survey data on adult population of age over 35 years. Bayesian spatial analysis was performed for both hypertension and diabetes data separately by fitting a model, that accounts for spatial variations, using integrated nested laplace approximation. The area-specific prevalence was then estimated as weighted average of the corresponding individual level predicted probabilities of being diseased derived from the fitted model, with weight from the individual level sampling weight. Finally, the estimated area-specific prevalence estimates were sketched in country-map to explore regional variations and identify regions with relatively higher prevalence. The results revealed that people of older age, higher education, better socio-economic condition, higher BMI are at greater risk of having hypertension and diabetes. Significant regional variations were observed with prevalence for hypertension ranges between 10% and 35% and for diabetes between 6% and 19% while their national prevalence were reported as 24% and 11%, respectively. The western regions of the country including middle capital city were found to be relatively more prevalent for hypertension while the middle-east and south-east regions were observed to be more prevalent for diabetes. The capital Dhaka region was observed as the most prevalent for both diabetes and hypertension. Details explanations of the findings and evidence based policy implications were discussed.
孟加拉国一直在经历从传染病到非传染性疾病的流行病学转变,在过去十年中,与非传染性疾病相关的发病率和死亡率迅速上升。高血压和糖尿病是两种重要的非传染性疾病风险因素,会显著增加心血管疾病负担和死亡风险。随着时间的推移,高血压和糖尿病患者的患病率急剧上升,因此,迫切需要确定相对更普遍的社会人口群体和地理区域(地方行政区),以减少与非传染性疾病相关的死亡。本研究聚焦于通过35岁以上成年人口的全国代表性调查数据,研究社会人口因素与高血压和糖尿病之间的关联,并探索其患病率的区域差异。分别对高血压和糖尿病数据进行贝叶斯空间分析,通过拟合一个考虑空间变异的模型,采用集成嵌套拉普拉斯近似法。然后,将特定区域的患病率估计为根据拟合模型得出的相应个体患病预测概率的加权平均值,并赋予个体层面的抽样权重。最后,将估计的特定区域患病率绘制在国家地图上,以探索区域差异并确定患病率相对较高的地区。结果显示,年龄较大、受教育程度较高、社会经济状况较好、体重指数较高的人群患高血压和糖尿病的风险更大。观察到显著的区域差异,高血压患病率在10%至35%之间,糖尿病患病率在6%至19%之间,而全国患病率分别报告为24%和11%。该国西部地区,包括中部首都城市,高血压患病率相对较高,而中东和东南部地区糖尿病患病率较高。首都达卡地区被观察到糖尿病和高血压患病率最高。文中还讨论了研究结果的详细解释以及基于证据的政策含义。