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The dose-response analysis between BMI and common chronic diseases in northeast China
Jianxing Yu1, Yuchun Tao1, Jing Dou1
1Epidemiology and Biostatistics, School of Public Health, No. 1163 Xinmin Street, Jilin University, Changchun, Jilin, 130021, China.
Insights
High body mass index (BMI) significantly increases the risk of chronic diseases like hypertension and dyslipidemia, particularly in middle-aged men. This risk escalates with age and is amplified by smoking and drinking habits.
Area of Science:
- Public Health
- Epidemiology
- Chronic Disease Research
Background:
- High body mass index (BMI) is a known risk factor for chronic diseases.
- Previous studies lacked detailed dose-response analyses between BMI and chronic conditions.
Purpose of the Study:
- To investigate the dose-response relationship between BMI and chronic diseases (hypertension, dyslipidemia, metabolic syndrome) in Northeast China.
- To analyze age- and gender-specific trends in BMI and associated chronic disease risks.
Main Methods:
- Utilized data from 16,412 participants aged 18-79 in Jilin province, China (2012).
- Employed the lambda-mu-sigma (LMS) method for BMI trends and restricted cubic splines for non-linear dose-response analyses.
- Examined the influence of smoking and drinking habits on BMI-related disease risks.
Main Results:
- BMI trends varied by age and gender, with rapid increases in youth, stability in middle age, and slow decline in old age.
- Odds ratios for chronic diseases increased significantly with BMI, especially in middle-aged and older adults, particularly men.
- Smokers and drinkers exhibited higher BMI-related risks for chronic diseases.
Conclusions:
- BMI has a significant dose-response relationship with hypertension, dyslipidemia, and metabolic syndrome.
- The risk associated with high BMI escalates dramatically in middle age and old age, especially for men.
- Lifestyle factors like smoking and drinking exacerbate the risk of chronic diseases linked to high BMI.
Abstract:
High body mass index (BMI) predisposes to several chronic diseases, but a large-scale systematic and detailed study of dose-response relationship between BMI and chronic diseases has not been reported previously. In this study, we aimed to investigate the relationship between BMI and 3 chronic diseases (hypertension, dyslipidemia and MetS) in northeast China. A sample of 16412 participants aged 18~79 years old were included in Jilin province in 2012. The lambda-mu-sigma (LMS) method was applied to examine the trend of BMI by age, and the restricted cubic splines were used to investigate the non-linear associations (dose-response curve) between BMI and chronic diseases. It was pointed out that BMI increased rapidly when young, then kept steady in middle age, and finally declined slowly in old age, and accordingly age was divided into 3 segments, which were different by gender. The odds ratios (ORs) of BMI for the chronic diseases increased relatively slowly when young, then increased dramatically in middle-age and old population, especially for men. Further, the ORs of BMI among non-smokers were lower than those among smokers, and the same trend was shown to be more apparent among drinkers and non-drinkers. The risk of BMI for common chronic diseases increased dramatically in middle-aged, especially for men with drinking and smoking habits.
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