Diabetes and depression comorbidity and socio-economic status in low and middle income countries (LMICs): a mapping of the evidence.

Diabetes and depression comorbidity and socio-economic status in low and middle income countries (LMICs): a mapping of the evidence.
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DOI:
10.1186/1744-8603-8-39
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发表时间:
2012-11-26
影响因子:
10.8
通讯作者:
de Graft Aikins A
de Graft Aikins A
中科院分区:
医学2区
文献类型:
--
作者:
Leone T;Coast E;Narayanan S;de Graft Aikins A

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在大多数低收入国家,非传染性疾病占 15-59 岁成年人死亡人数的 50% 以上。抑郁症和糖尿病给公共健康带来巨大负担,因此识别这些疾病的危险因素成为一项重要策略。虽然高收入国家对慢性病的社会经济不平等及其风险因素进行了广泛研究,但很少有研究调查低收入或中等收入国家慢性病风险因素的社会不平等。记录慢性病风险因素对于了解较贫穷国家的疾病负担以及针对特定人群采取最有效的干预措施非常重要。本综述的目的是系统地绘制低收入和中等收入国家社会经济地位与糖尿病和抑郁症合并症之间关系的证据。目的是确定是否有任何证据证明这种关系的方向:合并症是否对社会经济地位有影响,反之亦然,以及糖尿病合并抑郁症的患病率是否与普通人群中的社会经济地位因素相关。迄今为止,还没有其他研究审查过这种关系的程度和性质的证据。通过系统地绘制更广泛意义上的证据,我们可以确定现有研究的政策和干预措施影响,突出知识差距并建议未来的研究。只有 14 项研究分析了抑郁症与糖尿病合并症和社会经济状况之间的关联。研究表明,一些证据表明糖尿病患者抑郁症的发生与较低的社会经济地位有关。低收入和中等收入国家中考虑糖尿病和抑郁症的证据基础很小,与疾病负担的规模不相符。
Non-communicable diseases account for more than 50% of deaths in adults aged 15–59 years in most low income countries. Depression and diabetes carry an enormous public health burden, making the identification of risk factors for these disorders an important strategy. While socio-economic inequalities in chronic diseases and their risk factors have been studied extensively in high-income countries, very few studies have investigated social inequalities in chronic disease risk factors in low or middle-income countries. Documenting chronic disease risk factors is important for understanding disease burdens in poorer countries and for targeting specific populations for the most effective interventions. The aim of this review is to systematically map the evidence for the association of socio-economic status with diabetes and depression comorbidity in low and middle income countries. The objective is to identify whether there is any evidence on the direction of the relationship: do co-morbidities have an impact on socio-economic status or vice versa and whether the prevalence of diabetes combined with depression is associated with socio-economic status factors within the general population. To date no other study has reviewed the evidence for the extent and nature of this relationship. By systematically mapping the evidence in the broader sense we can identify the policy and interventions implications of existing research, highlight the gaps in knowledge and suggest future research. Only 14 studies were found to analyse the associations between depression and diabetes comorbidity and socio-economic status. Studies show some evidence that the occurrence of depression among people with diabetes is associated with lower socio-economic status. The small evidence base that considers diabetes and depression in low and middle income countries is out of step with the scale of the burden of disease.
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