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The prevalence of multiple non-communicable diseases among middle-aged and elderly people: the Shanghai Changfeng Study

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Abstract

Objective

We set out to study the prevalence and combination of multiple non-communicable diseases among middle-aged and elderly people in the Shanghai Changfeng community, China.

Methods

A cross-sectional survey through questionnaire, physical, and laboratory examinations, color ultrasound and DXA was performed on a typical sample of 6038 residents (ages greater than 45-years-old) from the Shanghai Changfeng community between June 2009 and December 2012.

Results

The prevalence of chronic diseases (rating from high to low) was as follows: hypertension (55.3%), dyslipidemia (33.5%), diabetes (21.9%), obesity (12.4%), and osteoporosis (9.3%). There were sex-specific and age-specific differences in these diseases. Just less than half (40.5%) the study population suffered from two or more chronic diseases. Hypertension patients were more likely to suffer from obesity, diabetes, dyslipidemia, and risk factors for cardiovascular diseases, but not osteoporosis. The most common combination of multiple diseases was hypertension with dyslipidemia (9.95%) or diabetes (6.61%).

Conclusion

In the Chinese middle-aged and elderly population, the most common multiple non-communicable diseases, including hypertension, dyslipidemia, diabetes, and obesity should be controlled to prevent cardiovascular disease.

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Abbreviations

NCD:

Non-communicable diseases

WC:

Waist circumference

HC:

Hip circumference

BMI:

Body mass index

WHR:

Waist to hip ratio

BP:

Blood pressure

FBG:

Fasting blood glucose

TC:

Total cholesterol

TG:

Triglycerides

HDL-C:

High-density lipoprotein-cholesterol

LDL-C:

Low-density lipoprotein-cholesterol

2hBG:

2-hour blood glucose

OGTT:

Oral glucose tolerance test

NGSP:

National Glycated Haemoglobin Standardization Program

BMD:

Bone mineral density

OP:

Osteoporosis

DXA:

Dual-energy x-ray absorptiometry

SBP:

Systolic blood pressure

DBP:

Diastolic blood pressure

CVD:

Cardiovascular disease

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Acknowledgements

This work was sponsored by the National Key Basic Research Program of China (Grant No. 2012CB524906 to X. Gao), the Shanghai Municipal Health Project Grant (Grant No. 2013ZYJB0802 to X. Gao), the Shanghai Health and Family Planning Commission Foundation (Grant Nos. 12GWZX0103 and 2013SY005 to X. Gao), and the Shanghai Hospital Development Center Foundation (SHDC12012201 to X. Gao).

Authors’ contribution

Study conception and design: XG, AH and JJ. Site inspection and data collection: HL, QL, YH, CZ and HM. Sample examination: JW and BP. Data management: HL, JG, HS, WJ and YY. Data analysis: HL, JG, NZ and XG. Manuscript preparation: HL and QL. Manuscript revision: XG and AH.

Author information

Authors and Affiliations

  1. Department of Endocrinology and Metabolism, Shanghai Zhongshan Hospital, Fudan University, Shanghai, 200032, China

    Huandong Lin, Qian Li & Xin Gao

  2. Fudan Institute for Metabolic Diseases, Shanghai, 200032, China

    Huandong Lin, Qian Li & Xin Gao

  3. Department of Geriatrics, Clinical Epidemiology Center, Shanghai Zhongshan Hospital, Fudan University, Shanghai, 200032, China

    Yu Hu & Hui Ma

  4. Department of Foreign Affairs, Fudan University, Shanghai, China

    Chouwen Zhu

  5. Department of Clinical Nutrition, Shanghai Zhongshan Hospital, Fudan University, Shanghai, 200032, China

    Jian Gao

  6. Department of Laboratory Medicine, Zhongshan Hospital, Fudan University, Shanghai, 200032, China

    Jiong Wu & Baishen Pan

  7. Network Information Center, Shanghai Zhongshan Hospital, Fudan University, Shanghai, 200032, China

    Hong Shen, Wenhai Jiang & Yiqing Yin

  8. Department of Biostatistics, School of Public Health, Fudan University, Shanghai, 200032, China

    Naiqing Zhao

  9. Department of Neuroscience, Erasmus Medical Center, Rotterdam, The Netherlands

    Johannes Jeekel

  10. Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands

    Albert Hofman

Authors
  1. Huandong Lin
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  2. Qian Li
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  3. Yu Hu
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  4. Chouwen Zhu
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  5. Hui Ma
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  6. Jian Gao
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  7. Jiong Wu
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  8. Hong Shen
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  9. Wenhai Jiang
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  10. Naiqing Zhao
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  11. Yiqing Yin
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  12. Baishen Pan
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  13. Johannes Jeekel
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  14. Albert Hofman
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  15. Xin Gao
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Corresponding author

Correspondence to Xin Gao.

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All authors have declared that they have no conflicts of interest.

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Cite this article

Lin, H., Li, Q., Hu, Y. et al. The prevalence of multiple non-communicable diseases among middle-aged and elderly people: the Shanghai Changfeng Study. Eur J Epidemiol 32, 159–163 (2017). https://doi.org/10.1007/s10654-016-0219-6

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  • DOI: https://doi.org/10.1007/s10654-016-0219-6

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