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低收入和中等收入国家体重指数与多种疾病患病率之间的关联:一项横断面研究。

Association Between Body Mass index and Prevalence of Multimorbidity in Low-and Middle-income Countries: A Cross-Sectional Study.

作者信息

Agrawal Sutapa, Agrawal Praween Kumar

机构信息

Public Health Foundation of India, New Delhi NCR, INDIA.

United Nations Children's Fund, New Delhi, INDIA.

出版信息

Int J Med Public Health. 2016 Apr;6(2):73-83. doi: 10.5530/ijmedph.2016.2.5.

Abstract

BACKGROUND

Chronic diseases are increasingly becoming a health burden in terms of both morbidity and mortality in low and middle-income countries (LMICs). The role of body mass index (BMI) especially overweight and obesity in the prevalence of multimorbidity, the occurrence of two or more chronic conditions, is understudied in LMICs where two thirds of the world's obese individuals reside. We estimated the association between BMI and prevalence of chronic non communicable disease multimorbidity in six LMICs.

METHODS

Cross-sectional data of total of 40,166 participants from China (n=13,970), India (10,915), Mexico (2,4 26), Russia (3,892), South Africa (4,000) and Ghana (4,971), aged 18 years and above included in the WHO Study on Global Ageing and adult health (SAGE), 2007-2010 were analyzed. Multimorbidity was measured as the simultaneous presence of two or more of the nine chronic conditions including angina pectoris, arthritis, asthma, chronic lung disease, diabetes mellitus, hypertension, stroke, depression, and vision impairment. Multivariable logistic regression models were fitted to test for associations between overweight/obesity and prevalence of non communicable multimorbidity after adjusting for age, sex, rural/urban residence, education, marital status, occupation, household wealth, tobacco smoking, alcohol drinking, fruits and vegetable intake and health insurance status. Data were analyzed country wise as well as pooled together to give overall LMIC estimates.

RESULTS

The mean BMI was 24.4 [±7.3SD] in the pooled countries, being as low as 20.8 [±8.0 SD] in India to 23.4 [±6.3 SD] in Ghana, 23.9 [±4.9 SD] in China, 28.4 [±5.4 SD] in Mexico, 28.6 [±6.3 SD] in Russia, to as high as 30.5 [±12.0 SD] in South Africa. The prevalence of overweight was 13% and obesity was 24% in the pooled sample. The prevalence of non communicable disease multimorbidity was 23% in the pooled sample of six countries-the highest being in Russia (50%), followed by Mexico (27%), India (24%), Ghana (23%), South Africa (32%) and China (22%). The prevalence of multimorbidity was 37% among obese population and 27% among overweight population in the pooled sample-highest prevalence was in Russia (59% among obese; 45% among overweight) and lowest in Ghana (28% among obese; 23% among overweight). Being obese (OR:5.78;95%CI:3.55-9.40;p<0.0001) was associated with significantly higher likelihood of having multimorbidity as compared to normal weight category in the pooled sample. The likelihood of multimorbidity among obese were almost ten times higher in Russia (OR:9.90;95%CI:3.90-25.17;p=<0.0001), seven times higher in China (OR:7.06;95%CI:2.47-20.21;p=0.003), six times higher in Ghana (OR:5.61;95%CI:1.21-26.02;p= 0.007) and five times higher in South Africa (OR:4.66;95%CI:2.16-10.08;p=0.005). Non-significant but positive association were also observed in case of India and Mexico. The likelihood of multimorbidity was more than two times higher among overweight population in India (OR:2.33;95%CI:1.35-4.02;p=0.003) and pooled countries (OR:1.47;95%CI:1.05-2.07;p=0.004) while non-significant but positive association were also observed in case of China, Russia, and Ghana.

CONCLUSIONS

The prevalence of non communicable disease multimorbidity in the LMICs is high, one and half times higher in obese than in normal weight individual. Obesity was independently associated with the occurrence of multimorbidity in the six LMICs. These findings may be vital for public health surveillance, prevention and management strategies for non communicable disease multimorbidity in the LMICs.

摘要

背景

在低收入和中等收入国家(LMICs),慢性病在发病率和死亡率方面日益成为一种健康负担。在全球三分之二肥胖个体居住的低收入和中等收入国家,体重指数(BMI)尤其是超重和肥胖在多重疾病(即两种或更多慢性疾病)患病率中的作用尚未得到充分研究。我们估计了六个低收入和中等收入国家中BMI与慢性非传染性疾病多重发病率之间的关联。

方法

分析了来自中国(n = 13,970)、印度(10,915)、墨西哥(2,426)、俄罗斯(3,892)、南非(4,000)和加纳(4,971),年龄在18岁及以上,纳入世界卫生组织2007 - 2010年全球老龄化与成人健康研究(SAGE)的40,166名参与者的横断面数据。多重疾病被定义为同时存在包括心绞痛、关节炎、哮喘、慢性肺病、糖尿病、高血压、中风、抑郁症和视力障碍在内的九种慢性疾病中的两种或更多种。在调整年龄、性别、城乡居住情况、教育程度、婚姻状况、职业、家庭财富、吸烟、饮酒、水果和蔬菜摄入量以及健康保险状况后,采用多变量逻辑回归模型来检验超重/肥胖与非传染性多重疾病患病率之间的关联。数据按国家分别进行分析,并汇总以得出低收入和中等收入国家的总体估计值。

结果

汇总国家的平均BMI为24.4[±7.3标准差],在印度低至20.8[±8.0标准差],在加纳为23.4[±6.3标准差],在中国为23.9[±4.9标准差],在墨西哥为28.4[±5.4标准差],在俄罗斯为28.6[±6.3标准差],在南非高达30.5[±12.0标准差]。汇总样本中超重患病率为13%,肥胖患病率为24%。六个国家的汇总样本中,非传染性疾病多重发病率为23%,其中最高的是俄罗斯(50%),其次是墨西哥(27%)、印度(24%)、加纳(23%)、南非(32%)和中国(22%)。汇总样本中,肥胖人群的多重发病率为37%,超重人群为27%,其中患病率最高的是俄罗斯(肥胖人群中为59%;超重人群中为45%),最低的是加纳(肥胖人群中为28%;超重人群中为23%)。与正常体重类别相比,肥胖(比值比:5.78;95%置信区间:3.55 - 9.40;p < 0.0001)在汇总样本中与患多重疾病的可能性显著更高相关。在俄罗斯,肥胖人群患多重疾病的可能性几乎高出十倍(比值比:9.90;95%置信区间:3.90 - 25.17;p = < 0.0001),在中国高出七倍(比值比:7.06;95%置信区间:2.47 - 20.21;p = 0.003),在加纳高出六倍(比值比:5.61;95%置信区间:1.21 - 26.02;p = 0.007),在南非高出五倍(比值比:4.66;95%置信区间:2.16 - 10.08;p = 0.005)。在印度和墨西哥也观察到了虽不显著但呈正向的关联。在印度,超重人群患多重疾病的可能性高出两倍多(比值比:2.33;95%置信区间:1.35 - 4.02;p = 0.003),在汇总国家中也是如此(比值比:1.47;95%置信区间:1.05 - 2.07;p = 0.004),而在中国、俄罗斯和加纳也观察到了虽不显著但呈正向的关联。

结论

低收入和中等收入国家中非传染性疾病多重发病率很高,肥胖人群的发病率比正常体重个体高出1.5倍。在六个低收入和中等收入国家中,肥胖与多重疾病的发生独立相关。这些发现对于低收入和中等收入国家非传染性疾病多重发病率的公共卫生监测、预防和管理策略可能至关重要。

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