Sociodemographic distribution of non-communicable disease risk factors in rural Uganda: a cross-sectional study.

Sociodemographic distribution of non-communicable disease risk factors in rural Uganda: a cross-sectional study.
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DOI:
10.1093/ije/dyt184
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发表时间:
2013-12
影响因子:
7.7
通讯作者:
Kamali A
Kamali A
中科院分区:
医学1区
文献类型:
--
作者:
Murphy GA;Asiki G;Ekoru K;Nsubuga RN;Nakiyingi-Miiro J;Young EH;Seeley J;Sandhu MS;Kamali A

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非传染性疾病正迅速成为中低收入国家,包括撒哈拉以南非洲国家发病率和死亡率的主要原因。与高收入国家相比,撒哈拉以南非洲的非传染性疾病及其风险因素的社会人口分布情况,包括社会经济不平等,尚不清楚,特别是在农村人口中。我们对乌干达西南部农村地区普通人群队列中的7809名13岁或以上居民进行了一项基于人口的横断面调查。行为,生理和生化危险因素的信息是使用WHO逐步监测方法推荐的标准化方法获得的。社会经济地位(SES)通过主成分分析确定,包括家庭特征、所有权以及户主的职业和教育程度。SES被发现与农村人群中的NCD危险因素有关。吸烟、饮酒(仅限男性)和低HDL-胆固醇在SES较低的人群中更为常见。例如,从社会经济地位最低到最高的群体,吸烟率下降了四倍,男性从22.0%下降到5.7%,女性从2.2%下降到0.4%。相比之下,超重,血压升高,HbA 1c升高(仅限女性)和胆固醇升高在SES较高的人群中更为常见。例如,从社会经济地位最低到最高的群体中,男子的超重率从2.1%增加到10.1%,增加了五倍,妇女从12.0%增加到23.4%,增加了两倍。然而,无论是低体力活动,水果,蔬菜,或斯台普斯消费与SES。此外,年龄和性别改变了NCD危险因素和SES之间的关联。在农村人口中,非传染性疾病的风险因素很常见,并且在不同的社会经济地位梯度中有正有负的变化。更好地了解非传染性疾病的社会人口分布的决定因素及其在撒哈拉以南非洲农村人口中的风险因素,将有助于确定最有可能患上非传染性疾病的人口,并有助于规划干预措施,以减轻他们的负担。
Non-communicable diseases (NCDs) are rapidly becoming leading causes of morbidity and mortality in low and middle-income countries, including those in sub-Saharan Africa. By contrast to high-income countries, the sociodemographic distribution, including socioeconomic inequalities, of NCDs and their risk factors is unclear in sub-Saharan Africa, particularly among rural populations. We undertook a cross-sectional population-based survey of 7809 residents 13 years or older in the General Population Cohort in south-western rural Uganda. Information on behavioural, physiological, and biochemical risk factors was obtained using standardised methods as recommended by the WHO STEPwise Approach to Surveillance. Socioeconomic status (SES) was determined by principal component analysis including household features, ownership, and occupation and education of the head of household. SES was found to be associated with NCD risk factors in this rural population. Smoking, alcohol consumption (men only), and low HDL-cholesterol were more common among those of lower SES. For example, the prevalence of smoking decreased fourfold from the lowest to highest SES groups, from 22.0% to 5.7% for men and 2.2% to 0.4% for women. By contrast, overweight, raised blood pressure, raised HbA1c (women only), and raised cholesterol were more common among those of higher SES. For example the prevalence of overweight increased fivefold from 2.1% to 10.1% for men and twofold from 12.0% to 23.4% for women from the lowest to highest SES groups. However, neither low physical activity nor fruit, vegetable, or staples consumption was associated with SES. Furthermore, associations between NCD risk factors and SES were modified by age and sex. Within this rural population NCD risk factors are common and vary both inversely and positively across the socioeconomic status gradient. A better understanding of the determinants of the sociodemographic distribution of NCDs and their risk factors in rural sub-Saharan African populations will help identify populations at most risk of developing NCDs and help plan interventions to reduce their burden.
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