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. 2018 Apr 11;8:5806. doi: 10.1038/s41598-018-24161-0

A retrospective study on association between obesity and cardiovascular risk diseases with aging in Chinese adults

Jie Sun 1,#, Weihong Zhou 2,#, Tianwei Gu 1,#, Dalong Zhu 1, Yan Bi 1,✉
PMCID: PMC5895579  PMID: 29643416

Abstract

This study aimed to investigate the prevalence of overweight and obesity and its relationship with cardiovascular risk diseases among different sex and age groups in an urban Chinese adult population. A retrospective analysis was performed on 384,061 Chinese adults aged 20 years and older in Nanjing. The age-standardized prevalence of overweight and obesity was 42.8% and 13.2% in men and 23.9% and 6.6% in women. A gradually increasing trend was observed in the prevalence of overweight and obesity from 2008 to 2016, especially in individuals aged 20~39 years. Overweight and obesity were significantly associated with increased risks of dyslipidemia, diabetes mellitus, hypertension, and hyperuricemia. Age weakened such relationship for both genders, which spiked in individuals aged 20~39 years. For men and women aged 20~39 years, the OR (95% CI) of obesity reached 4.23 (4.01–4.47) and 5.29 (4.63–6.04) for dyslipidemia, 3.70 (2.97–4.60) and 6.38 (3.86–10.55) for diabetes mellitus, 6.19 (5.76–6.64) and 9.36 (7.86–11.13) for hypertension, and 3.66 (3.45–3.88) and 6.65 (5.70–7.74) for hyperuricemia, respectively. The increasing trend in the epidemic of overweight and obesity is a risk factor for cardiovascular risk diseases in Chinese adults, especially in individuals aged 20~39 years.

Introduction

Obesity has become a prevalent health problem because of its association with subsequent cardiovascular disease and all-cause mortality1–3. Its increasing prevalence is affecting a large proportion of individuals of all ages and races worldwide4,5. As a large developing country in the world, China has now joined the world epidemic of obesity with its rapid economic growth over the past three decades6–8. National data showed that the combined prevalence of overweight and obesity increased from 20.0% in 1992 to 29.9% in 20029. The global data indicate a marked growth of obese population in China from 13th place for men and 10th place for women in 1975 to 1st place for both genders in 20148. Although the prevalence of obesity is increasing rapidly in both urban and rural areas, it is significantly higher in urban than in rural population10,11. Accordingly, more attention should be paid to the epidemiological features of obesity in urban areas considering its great health burden.

Overweight and obesity are known to be associated with a number of cardiovascular risk diseases, such as hypertension, dyslipidemia, diabetes mellitus, and insulin resistance12–15. Besides, obesity is reported to be linked to hyperuricemia in recent cross-sectional studies16,17. However, despite such relationship discussed in previous studies, few have focused on age- and sex-specific association between obesity and cardiovascular risk diseases in urban areas. To date the influence of age on the relationship between obesity and cardiovascular risk diseases is unclear, and literature suggested that such association might become weaker or stronger with aging18,19. Therefore, a large retrospective study was conducted to investigate the prevalence of overweight and obesity and its relationship with cardiovascular risk diseases in different sex and age groups among Chinese urban adults in Nanjing.

Results

Prevalence rates for different BMI categories by sex and age groups

The mean values of BMI were 24.3 ± 3.3 and 22.0 ± 3.1 kg/m2 for men and women, respectively. The prevalence rates for different BMI categories by sex and age groups (20~29, 30~39, 40~49, 50~59, 60~69, and 70~ years) are shown in Fig. 1 (see Supplementary Table 1 for detailed information). For all ages, the age-standardized prevalence of overweight and obesity in males was higher compared with that in females (overweight: 42.8% vs 23.9%; obesity: 13.2% vs 6.6%). For different age groups, the prevalence of overweight in males was higher compared with that in females. Moreover, the prevalence of obesity in males was higher before 60 years of age but lower after 60 years compared with that in females. For men, a gradual increase was noted in the prevalence of overweight from the youngest age group (26.8%) up to the group aged 50~59 years (51.0%), followed by a decline in the higher age groups (60~69 and 70~ years). The prevalence of obesity was as high as about 15.0% between 30 and 60 years old, while declined after 60 years. For women, a steady increase was found in both the prevalence of overweight and obesity from the age group of 20~29 years (overweight: 8.2%; obesity: 1.7%) up to 60~69 years (overweight: 39.9%; obesity: 14.1%), followed by a decline in the highest age group of 70~ years. Notably, the prevalence of underweight was as high as 18.6% among young women aged 20~29 years and gradually decreased with the increase in age.

Figure 1.

Figure 1

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Prevalence rates of BMI categories by different age groups in (a) males and (b) females. BMI was categorized as underweight (<18.5 kg/m2), normal weight (18.5–23.9 kg/m2), overweight (24.0–27.9 kg/m2), and obese (≥28.0 kg/m2).

Trends in the prevalence of overweight and obesity from 2008 to 2016

Trends in the prevalence of overweight and obesity by sex and age groups between 2008 and 2016 are demonstrated in Fig. 2. For all ages, the prevalence rate of overweight and obesity increased by 2.0% and 4.0% in males, and 4.3% and 1.5% in females from 2008 to 2016. For individuals aged 20~39 years, the prevalence of overweight and obesity increased slowly with the surveyed years. For men aged 40~59 years, a steady increase was found over time in the prevalence of obesity, while a stable level was observed in the prevalence of overweight. For women, there was no observable trend over time in the prevalence of overweight and obesity in the age group of 40~59 years. The prevalence rate peaked at 35.0% in 2016 for overweight and 9.0% in 2015 for obesity. For those aged ≥60 years, the prevalence of overweight showed a slow increasing trend from 2009 to 2015 in males, and from 2011 to 2016 in females. Nevertheless, no obvious trend over time in the prevalence of obesity was observed for both genders.

Figure 2.

Figure 2

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Prevalence rates of overweight and obesity between 2008 and 2016 in adults aged (a) 20~39 years, (b) 40~59 years, and (c) ≥60 years.

Mean levels of metabolic markers by different BMI categories

The mean levels of metabolic markers by BMI categories and sex are displayed in Table 1. For both genders, the values of TG, LDL-c, fasting blood glucose, systolic pressure, diastolic pressure, and uric acid all increased significantly across the BMI categories (Ptrend < 0.001), while the HDL-c level decreased with increasing BMI (Ptrend < 0.001). Compared with women, significantly higher levels of TG, diastolic pressure, and uric acid as well as a significantly lower level of HDL-c were observed in males in all BMI categories (P < 0.001 for differences between sexes).

Table 1.

Mean (95% CI) levels of metabolic markers for adults aged ≥20 years by different BMI categories and sex.

Metabolic markers BMI categories P *
Underweight Normal weight Overweight Obesity
Male
  Triglyceride (mmol/L) 0.92 (0.91–0.94) 1.34 (1.33–1.34) 1.95 (1.94–1.96) 2.42 (2.39–2.44) <0.001
  High-density lipoprotein (mmol/L) 1.49 (1.47–1.51) 1.29 (1.28–1.29) 1.14 (1.13–1.14) 1.06 (1.05–1.06) <0.001
  Low-density lipoprotein (mmol/L) 2.12 (2.09–2.14) 2.44 (2.44–2.45) 2.61 (2.61–2.62) 2.66 (2.65–2.67) <0.001
  Fasting blood glucose (mmol/L) 4.95 (4.93–4.98) 5.20 (5.19–5.21) 5.48 (5.47–5.49) 5.69 (5.67–5.71) <0.001
  Systolic pressure (mmol/L) 113.01 (112.69–113.33) 118.88 (118.79–118.97) 126.07 (125.97–126.18) 131.80 (131.61–131.99) <0.001
  Diastolic pressure (mmol/L) 71.65 (71.43–71.88) 75.88 (75.81–75.94) 81.97 (81.89–82.05) 86.31 (86.16–86.45) <0.001
  Uric acid (mmol/L) 331.55 (328.95–334.15) 349.30 (348.72–349.87) 376.97 (376.38–377.56) 402.99 (401.85–404.13) <0.001
Female
  Triglyceride (mmol/L) 0.77 (0.76–0.78) 0.99 (0.98–0.99) 1.50 (1.49–1.52) 1.76 (1.73–1.79) <0.001
  High-density lipoprotein (mmol/L) 1.64 (1.63–1.66) 1.51 (1.51–1.51) 1.35 (1.35–1.36) 1.27 (1.26–1.28) <0.001
  Low-density lipoprotein (mmol/L) 2.08 (2.07–2.10) 2.35 (2.34–2.36) 2.64 (2.63–2.65) 2.74 (2.72–2.76) <0.001
  Fasting blood glucose (mmol/L) 4.83 (4.82–4.84) 5.00 (5.00–5.01) 5.37 (5.35–5.38) 5.67 (5.64–5.71) <0.001
  Systolic pressure (mmol/L) 107.38 (107.21–107.55) 112.49 (112.41–112.58) 124.80 (124.60–125.01) 133.87 (133.45–134.29) <0.001
  Diastolic pressure (mmol/L) 68.90 (68.78–69.03) 71.32 (71.26–71.37) 77.84 (77.71–77.96) 82.94 (82.68–83.20) <0.001
  Uric acid (mmol/L) 250.89 (249.77–252.00) 258.74 (258.34–259.15) 287.28 (286.45–288.11) 313.94 (312.11–315.78) <0.001
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*Multiple linear regression with adjustment for age. Abbreviations: BMI, body mass index.

Multivariable-adjusted odds ratios for cardiovascular risk diseases

Multivariate analyses of underweight, overweight, and obesity associated with cardiovascular risk diseases are shown in Fig. 3 for men and in Fig. 4 for women. Compared with people with normal weight, people with overweight and obesity had significantly increased risks of dyslipidemia, diabetes mellitus, hypertension, and hyperuricemia for both genders. For men, the OR (95% CI) of obesity reached 3.74 (3.61–3.88), 2.47 (2.29–2.66), 4.25 (4.08–4.42), and 2.95 (2.84–3.08), respectively. For women, the OR (95% CI) of obesity reached 3.07 (2.87–3.28), 2.94 (2.60–3.33), 4.19 (3.92–4.48), and 3.45 (3.19–3.72), respectively. On the contrary, people with underweight were at lower risks of cardiovascular risk diseases.

Figure 3.

Figure 3

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Relationship between different BMI categories and cardiovascular risk diseases among 215,536 males. Adjusted for age and other cardiovascular risk diseases. Squares represent the odds ratios (OR), and horizontal lines represent the corresponding 95% confidence intervals (CI).

Figure 4.

Figure 4

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Relationship between different BMI categories and cardiovascular risk diseases among 168,525 females. Adjusted for age and other cardiovascular risk diseases. Squares represent the odds ratios (OR), and horizontal lines represent the corresponding 95% confidence intervals (CI).

Age- and sex-specific associations of overweight and obesity with cardiovascular risk diseases were further analyzed and illustrated in Fig. 5 and in Fig. 6, respectively. Detailed information was shown in Supplementary Table 2 and Supplementary Table 3. For both overweight and obesity, age weakened its relationship with dyslipidemia, diabetes mellitus, hypertension, and hyperuricemia for both genders, which spiked in individuals aged 20~39 years. For men and women aged 20~39 years, the OR (95% CI) of obesity reached 4.23 (4.01–4.47) and 5.29 (4.63–6.04) for dyslipidemia, 3.70 (2.97–4.60) and 6.38 (3.86–10.55) for diabetes mellitus, 6.19 (5.76–6.64) and 9.36 (7.86–11.13) for hypertension, and 3.66 (3.45–3.88) and 6.65 (5.70–7.74) for hyperuricemia, respectively.

Figure 5.

Figure 5

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Relationship between overweight and (a) dyslipidemia, (b) diabetes mellitus, (c) hypertension, and (d) hyperuricemia by sex and age groups. Adjusted for age and other cardiovascular risk diseases. Squares and dots represent the odds ratios (OR), and vertical lines represent the corresponding 95% confidence intervals (CI).

Figure 6.

Figure 6

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Relationship between obesity and (a) dyslipidemia, (b) diabetes mellitus, (c) hypertension, and (d) hyperuricemia by sex and age groups. Adjusted for age and other cardiovascular risk diseases. Squares and dots represent the odds ratios (OR), and vertical lines represent the corresponding 95% confidence intervals (CI).

Discussion

The present study provided the detailed epidemiological features of overweight and obesity in Chinese urban areas, which are strong predictors of cardiovascular risk diseases, especially in individuals aged 20~39 years.

Standardized by Chinese census data, 42.8% of men and 23.9% of women were overweight and a further 13.2% of men and 6.6% of women were obese in the analyzed population, which was similar to the findings of a previous large-scale survey among Chinese urban population20. Globally, the prevalence of overweight and obesity in China is lower than that in many European countries1; however, it ranks first in the number of obese individuals for both genders due to its huge population base8. Nonetheless, a gradually narrowing gap is observed in the prevalence of obesity between China and Western countries21. The present study indicated that the prevalence of overweight and obesity increased over time from 2008 to 2016, especially in individuals aged 20~39 years (Fig. 2), and this trend was consistent with those of the former studies in China22–24. With the rapid development of economy, lifestyles and nutrition, that is, improved food supplies, expansion of computerization, enhanced car ownership, rise of sedentary jobs, and so forth, have changed dramatically and contributed to the increase in the prevalence of overweight and obesity in China in recent years. Importantly, young adults are more susceptible to these unhealthy diets and sedentary lifestyles and pay less attention to their health compared with the middle-aged and elderly people, which might be a reason for the more obvious upward trend of overweight and obesity in the age group of 20~39 years. As the most populous country in the world, even 1.0% growth in the prevalence means an increase of nearly 14,000,000 obese people in China. It is a great health burden that China is suffering from. Thus, prevention and control of obesity should be the top priority in public health in China, with a focus on individuals aged 20~39 years.

Gender differences were found in this study in terms of overweight and obesity, and the prevalence was higher in males than in females before 60 years of age. It was consistent with an earlier report on Chinese population20. While women usually do more housework and are more likely to control body weight because of concern for their figures, men may consume more high-fat dishes and alcohol due to frequent social gatherings, leading to such a difference. Furthermore, this study demonstrated a higher prevalence of obesity in women than in men after 60 years of age, which might be a result of changes in the secretion of hormones in postmenopausal women25,26. Women generally tend to gain weight after menopause due to the redistribution of body fat and the loss of muscle mass and strength, accompanied by hormonal changes27. Consistent with previous studies performed in China28,29, other Asian countries30,31, and the United States32 this study revealed that the prevalence of overweight and obesity increased with age but started to decline at 70 years in women and at 60 years in men. This decline at older ages may be partly due to the onset of sarcopenia in elderly populations33, the obesity-related mortality34, and cohort effect. Therefore, policymakers and experts should not only make a general rule to prevent overweight and obesity but also develop sex- and age-specific ones.

A variety of population studies have clearly established that overweight and obesity are associated with cardiovascular risk diseases35–38. However, the influence of age on such relationship remains unclear. The present study disclosed that obese individuals aged 20~39 years were at highest risks of cardiovascular risk diseases (Figs 5 and 6). The behavioral characteristics of younger adults, including more fatty food intake, less physical activity, shorter sleeping hours, more daily hassles, and poorer medication adherence, all contributed to the high occurrence of cardiovascular risk diseases. Moreover, the strong relationship between overweight and obesity and cardiovascular risk diseases was further demonstrated to be attenuated with increasing age (Figs 5 and 6), in consonance with the previous literature39,40. As people grow older, their physical function gradually degenerates41, whereas the cumulative effects of various risk factors aggravate, resulting in reduced contributions of overweight and obesity to the development of dyslipidemia, diabetes, hypertension, and hyperuricemia. Another potential hypothesis could be the so-called selective survival effect42 of older but healthier individuals, which indicates a possibility that unhealthy individuals with a high BMI might have already died from the adverse effects of obesity. Older people are at an increased risk for morbidity and mortality42 that is unrelated to obesity. Considering the findings that the prevalence of overweight and obesity also increased over time in the same age group of 20~39 years (Fig. 2a), a rising trend of cardiovascular diseases could occur among working-age adults, reinforcing the urgency to prevent and control obesity especially in the youth, and consequently reducing the health burden of obesity-related cardiovascular diseases in China in the coming decades43,44.

The main strengths of this study included its markedly large sample size and age- and sex-specific analysis on the association between overweight and obesity and cardiovascular risk diseases. However, some limitations should be noted. First of all, given the inherent flaws of cross-sectional studies, the cohort effect on the prevalence of overweight and obesity could not be evaluated in the present study. Causal inferences on the relationship between overweight and obesity and cardiovascular risk diseases could not be made. Second, all participants involved were from a single examination center, and a selection bias was inevitable when extrapolating the results to the general population. The age- and sex-standardized prevalence of overweight and obesity was calculated using Chinese census data to enhance the representativeness of the present study. Third, a small percentage of latent autoimmune diabetes in adults (LADA) could not be excluded because the islet autoantibodies of patients were not measured in this study. However, according to LADA China Study45, the prevalence of LADA in Chinese adults is no more than 6.0%. Additionally, when collecting medical history of the participants, we have excluded previously diagnosed type 1 diabetes. Finally, some residual confounding might exist because information on smoking status, physical activity, and so forth, was not collected, which could act as potential mediators for the relationship between obesity and cardiovascular risk diseases.

In conclusion, the present study showed a high prevalence of overweight and obesity in Chinese adults, which increased over time, especially in individuals aged 20~39 years. Moreover, overweight and obesity are risk factors for cardiovascular risk diseases in Chinese adults, especially in those aged 20~39 years. Emphasis should be placed on the youth in relation to the prevention and control of obesity. Further longitudinal studies in diverse populations are warranted to confirm these findings and enhance their generalizability.

Methods

Study design and population

In this study, 384,061 subjects (men, 215,536; women, 168,525) aged 20 years and above who were self-referred for a routine health check-up at the medical examination center of Nanjing Drum Tower Hospital (Nanjing, China) were retrospectively reviewed from January 2008 to July 2016. Information on age, gender, and body mass index (BMI) were available for all subjects. Serum triglyceride (TG), high-density lipoprotein (HDL-c), and low-density lipoprotein (LDL-c) levels were measured in 271,354 (70.7%), 163,461 (42.6%), and 163,446 (42.6%) individuals, respectively. Blood pressure and fasting glucose levels were measured in 74.7% (n = 286,998) and 99.9% (n = 384,013) of all subjects. Serum uric acid levels were measured in a total of 253,991 (66.1%) individuals. This study was approved by the ethics review committee of Nanjing Drum Tower Hospital, and all experimental protocols were in accordance with guidelines approved by the Institutional Review Board for Human Studies of Nanjing Drum Tower Hospital. A written informed consent was obtained from each subject.

Measurement and definition of the variables

Weight, height, and blood pressure were measured using standard instruments and protocols by medical staff. Biochemical markers were measured using the blood samples of overnight fasted subjects in the central laboratory of Nanjing Drum Tower Hospital, which was authorized to perform laboratory tests according to the international quality standard ISO15189. BMI was calculated as weight in kilograms divided by the height in meters squared. According to the Chinese criteria of the Working Group on Obesity in China46, BMI was categorized as underweight (<18.5 kg/m2), normal weight (18.5–23.9 kg/m2), overweight (24.0–27.9 kg/m2), and obese (≥28.0 kg/m2). Prevalent hypertension was defined as a physician diagnosis of hypertension, measured systolic blood pressure ≥140 mm Hg or diastolic blood pressure ≥90 mm Hg, or use of antihypertensive medications. Definite causes of secondary hypertension were excluded, including pituitary diseases, thyroid disease, adrenal diseases, and kidney disease. Prevalent diabetes was defined as a physician diagnosis of type 2 diabetes, measured fasting blood glucose ≥7.0 mmol/L, or use of blood glucose regulator medications. Patients diagnosed with type 1 diabetes were excluded. Dyslipidemia was defined as a physician diagnosis of dyslipidemia, measured TG ≥ 2.26 mmol/L, LDL-c ≥ 4.14 mmol/L, or HDL-c < 1.04 mmol/L, or use of dyslipidemia medications. Hyperuricemia was defined as a physician diagnosis of hyperuricemia, measured uric acid >420 µmol/L in men and >360 µmol/L in women, or use of uric acid regulator medications.

Statistical analysis

For people with multiple visits to the examination center, only the records of their first visits were kept for current analysis. Prevalence estimates for different BMI categories were calculated for subgroups according to age group and sex. Age- and sex-standardized prevalence rates were calculated by the direct method using Chinese census data in 2010. Mean values and 95% confidence intervals for metabolic markers were determined according to sex and BMI categories. Tests for linear trend across BMI categories were performed using the multiple linear regression method with adjustment for age. Multivariate logistic regression analyses were used to assess the associations of underweight, overweight, and obesity with prevalent cardiovascular risk diseases. The odds ratios and 95% confidence intervals were given. Data analyses were carried out using the R software (version 3.0.2, 2013-09-25; R Foundation for Statistical Computing, http://www.cran.r-project.org/). The significance level was set at P < 0.05, and the P values were given for two-sided tests.

Data Availability Statement

The datasets generated during the current study are available from the corresponding author on reasonable request.

Electronic supplementary material

Supplementary Table 1, 2, and 3 (77KB, doc)

Acknowledgements

This work was supported by the National Natural Science Foundation of China Grant Awards (81570737, 81370947, 81570736, 81770819, 81500612, 81400832, 81600637, 81600632, and 81703294), the National Key Research and Development Program of China (2016YFC1304804 and 2017YFC1309605), the Jiangsu Provincial Key Medical Discipline (ZDXKB2016012), the Key Project of Nanjing Clinical Medical Science, the Key Research and Development Program of Jiangsu Province of China (BE2015604 and BE2016606), and the Jiangsu Provincial Medical Talent (ZDRCA2016062).

Author Contributions

D.Z. and Y.B. were responsible for study design. J.S. and T.G. performed statistical analyses. J.S. and W.Z. drafted the initial manuscript and drew the figures. Y.B. and T.G. helped to revise the manuscript. All authors critically reviewed the manuscript and gave final approval for its publication.

Competing Interests

The authors declare no competing interests.

Footnotes

Jie Sun, Weihong Zhou and Tianwei Gu contributed equally to this work.

Electronic supplementary material

Supplementary information accompanies this paper at 10.1038/s41598-018-24161-0.

Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary Table 1, 2, and 3 (77KB, doc)

Data Availability Statement

The datasets generated during the current study are available from the corresponding author on reasonable request.

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