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乌干达成年人中与非传染性疾病相关的累积风险因素负担:来自全国基线调查的证据

Burden of cumulative risk factors associated with non-communicable diseases among adults in Uganda: evidence from a national baseline survey.

作者信息

Wesonga Ronald, Guwatudde David, Bahendeka Silver K, Mutungi Gerald, Nabugoomu Fabian, Muwonge James

机构信息

School of Statistics and Planning, Makerere University, Kampala, Uganda.

East African Statistics Institute, Kampala, East Africa, Uganda.

出版信息

Int J Equity Health. 2016 Dec 1;15(1):195. doi: 10.1186/s12939-016-0486-6.

Abstract

BACKGROUND

Modification of known risk factors has been the most tested strategy for dealing with non-communicable diseases (NCDs). The cumulative number of NCD risk factors exhibited by an individual depicts a disease burden. However, understanding the risk factors associated with increased NCD burden has been constrained by scarcity of nationally representative data, especially in the developing countries and not well explored in the developed countries as well.

METHODS

Assessment of key risk factors for NCDs using population data drawn from 3987 participants in a nationally representative baseline survey in Uganda was made. Five key risk factors considered for the indicator variable included: high frequency of tobacco smoking, less than five servings of fruit and vegetables per day, low physical activity levels, high body mass index and raised blood pressure. We developed a composite indicator dependent variable with counts of number of risk factors associated with NCDs per participant. A statistical modeling framework was developed and a multinomial logistic regression model was fitted. The endogenous and exogenous predictors of NCD cumulative risk factors were assessed.

RESULTS

A novel model framework for cumulative number of NCD risk factors was developed. Most respondents, 38 · 6% exhibited one or two NCD risk factors each. Of the total sample, 56 · 4% had at least two risk factors whereas only 5.3% showed no risk factor at all. Body mass index, systolic blood pressure, diastolic blood pressure, consumption of fruit and vegetables, age, region, residence, type of residence and land tenure system were statistically significant predictors of number of NCD risk factors (p < 0 · 05). With exception to diastolic blood pressure, increase in age, body mass index, systolic blood pressure and reduction in daily fruit and vegetable servings were found to significantly increase the relative risks of exhibiting cumulative NCD risk factors. Compared to the urban residence status, the relative risk of living in a rural area significantly increased the risk of having 1 or 2 risk factors by a multiple of 1.55.

CONCLUSIONS

The non-communicable disease burden is on the increase, with more participants reporting to have at least two risk factors. Our findings imply that, besides endogenous factors, exogenous factors such as region, residence status, land tenure system and behavioral characteristics have significant causal effects on the cumulative NCD risk factors. Subsequently, while developing interventions to combat cumulative risk factors of NCDs, the Ministry of Health needs to employ a more holistic approach to facilitate equitable health and sensitization across age, residence and regional divide.

摘要

背景

改变已知风险因素一直是应对非传染性疾病(NCDs)最常被检验的策略。个体呈现的非传染性疾病风险因素累积数量描绘了一种疾病负担。然而,由于缺乏具有全国代表性的数据,尤其是在发展中国家,对与非传染性疾病负担增加相关的风险因素的理解受到了限制,在发达国家也未得到充分探索。

方法

利用乌干达一项具有全国代表性的基线调查中3987名参与者的人口数据,对非传染性疾病的关键风险因素进行了评估。用于指标变量的五个关键风险因素包括:吸烟频率高、每天摄入水果和蔬菜少于五份、身体活动水平低、体重指数高和血压升高。我们构建了一个复合指标因变量,即每位参与者与非传染性疾病相关的风险因素数量计数。开发了一个统计建模框架并拟合了多项逻辑回归模型。评估了非传染性疾病累积风险因素的内生和外生预测因素。

结果

开发了一个关于非传染性疾病风险因素累积数量的新模型框架。大多数受访者(38.6%)每人呈现一到两个非传染性疾病风险因素。在总样本中,56.4%至少有两个风险因素,而只有5.3%完全没有风险因素。体重指数、收缩压、舒张压、水果和蔬菜摄入量、年龄、地区、居住状况、居住类型和土地保有制度是与非传染性疾病风险因素数量具有统计学显著意义的预测因素(p < 0.05)。除舒张压外,年龄、体重指数、收缩压的增加以及每日水果和蔬菜摄入量的减少被发现会显著增加呈现非传染性疾病累积风险因素的相对风险。与城市居住状况相比,居住在农村地区的相对风险使有1个或2个风险因素的风险显著增加了1.55倍。

结论

非传染性疾病负担在增加,更多参与者报告至少有两个风险因素。我们的研究结果表明,除了内生因素外,地区、居住状况、土地保有制度和行为特征等外生因素对非传染性疾病累积风险因素具有显著的因果影响。随后,在制定应对非传染性疾病累积风险因素的干预措施时,卫生部需要采用更全面的方法,以促进在年龄、居住和地区差异方面实现公平健康和提高认识。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c278/5133748/146dfdef9a63/12939_2016_486_Fig1_HTML.jpg

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