Gangqiang Ding

Prof. Dr. Gangqiang Ding

National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 July 2021 in The Lancet
Verified
Journal Article
Open access
LWLimin Wang
Limin Wang
BZBin Zhou
Bin Zhou
ZZZhenping Zhao
Zhenping Zhao
LYLing Yang
Ling Yang
MZMei Zhang
Mei Zhang
XLXinhua Li
Xinhua Li
In China, mean body-mass index (BMI) and obesity in adults have increased steadily since the early 1980s. However, to our knowledge, there has been no reliable assessment of recent trends, nationally, regionally, or in certain population subgroups. To address this evidence gap, we present detailed analyses of relevant data from six consecutive nationally representative health surveys done between 2004 and 2018. We aimed to examine the long-term and recent trends in mean BMI and prevalence of obesity among Chinese adults, with specific emphasis on changes before and after 2010 (when various national non-communicable disease prevention programmes were initiated), assess how these trends might vary by sex, age, urban-rural locality, and socioeconomic status, and estimate the number of people who were obese in 2018 compared with 2004. We used data from the China Chronic Disease and Risk Factors Surveillance programme, which was established in 2004 with the aim to provide periodic nationwide data on the prevalence of major chronic diseases and the associated behavioural and metabolic risk factors in the general population. Between 2004 and 2018 six nationally representative surveys were done. 776 571 individuals were invited and 746 020 (96·1%) participated, including 33 051 in 2004, 51 050 in 2007, 98 174 in 2010, 189 115 in 2013, 189 754 in 2015, and 184 876 in 2018. After exclusions, 645 223 participants aged 18-69 years remained for the present analyses. The mean BMI and prevalence of obesity (BMI ≥30 kg/m2) were calculated and time trends compared by sex, age, urban-rural locality, geographical region, and socioeconomic status. Standardised mean BMI levels rose from 22·7 kg/m2 (95% CI 22·5-22·9) in 2004 to 24·4 kg/m2 (24·3-24·6) in 2018 and obesity prevalence from 3·1% (2·5-3·7) to 8·1% (7·6-8·7). Between 2010 and 2018, mean BMI rose by 0·09 kg/m2 annually (0·06-0·11), which was half of that reported during 2004-10 (0·17 kg/m2, 95% CI 0·12-0·22). Similarly, the annual increase in obesity prevalence was somewhat smaller after 2010 than before 2010 (6·0% annual relative increase, 95% CI 4·4-7·6 vs 8·7% annual relative increase, 4·9-12·8; p=0·13). Since 2010, the rise in mean BMI and obesity prevalence has slowed down substantially in urban men and women, and moderately in rural men, but continued steadily in rural women. By 2018, mean BMI was higher in rural than urban women (24·3 kg/m2vs 23·9 kg/m2; p=0·0045), but remained lower in rural than urban men (24·5 kg/m2vs 25·1 kg/m2; p=0·0007). Across all six surveys, mean BMI was persistently lower in women with higher levels of education compared with women with lower levels of education, but the inverse was true among men. Overall, an estimated 85 million adults (95% CI 70 million-100 million; 48 million men [95% CI 39 million-57 million] and 37 million women [31 million-43 million]) aged 18-69 years in China were obese in 2018, which was three times as many as in 2004. In China, the rise in mean BMI among the adult population appears to have slowed down over the past decade. However, we found divergent trends by sex, geographical area, and socioeconomic status, highlighting the need for a more targeted approach to prevent further increases in obesity in the Chinese general population. China National Key Research and Development Program, China National Key Project of Public Health Program, and Youth Scientific Research Foundation of the National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention.

10 May 2019 in The Lancet Diabetes & Endocrinology
Verified
Journal Article
Closed access
YHYuna He
Yuna He
YLYanping Li
Yanping Li
XYXiaoguang Yang
Xiaoguang Yang
EHElena C Hemler
Elena C Hemler
YFYuehui Fang
Yuehui Fang
FHFrank B Hu
Frank B Hu

3 July 2020 in European Journal of Clinical Nutrition
Verified
Journal Article
Closed access
PDF file
LHLina Huang
Lina Huang
ZWZhihong Wang
Zhihong Wang
HWHuijun Wang
Huijun Wang
LZLiyun Zhao
Liyun Zhao
HJHongru Jiang
Hongru Jiang
GDGangqiang Ding
Gangqiang Ding

12 November 2018 in Nutrients
Verified
Journal Article
Open access
PDF file
WGWeiYan Gong
WeiYan Gong
Ailing LiuAiling Liu
Ailing Liu
YYYecheng Yao
Yecheng Yao
YMYanning Ma
Yanning Ma
CDCaiCui Ding
CaiCui Ding
GDGangqiang Ding
Gangqiang Ding
Nutrient supplements play a key role in managing malnutrition/chronic diseases and are commonly used in the world, but few studies described the prevalence of nutrient supplement use at the national level in China. To our knowledge, this study provides the first detailed investigation of nutrient supplement use in a nationally representative sample of the Chinese population. This study aimed to describe the prevalence of the nutrient supplement use among the Chinese population aged 6 years or older in 2010–2012. A stratified multistage cluster sampling method was conducted to recruit participants from 150 surveillance sites. The demographic characteristics and information about nutrient supplement use were collected through an interview-administrative questionnaire. A total of 74,501 children and adults (excluding the pregnant women) were included in the study (mean age, 35.7 years; male, 47.0%, female, 53.5%). Only 0.71% of the participants reported using nutrient supplements in the previous month. Participants aged 6–11 years and 60 years and above, female, living in large urban, with higher education level and higher family incomes were more likely to use nutrient supplements than their counterparts (p < 0.05). The prevalence of nutrient supplement use increased with age in Chinese adults. The highest usage among the nutrient supplements was multi-vitamins and minerals with 0.37%. More females used single vitamin, multi-mineral, multi-vitamins and minerals than males (p < 0.05). The nutrient supplement use proportion was highest amongst the participants with a health problem, and the participants who had no idea about their health conditions were the least likely to use the nutrient supplements (p < 0.05). The prevalence of nutrient supplement use was low among the Chinese population in 2010–2012. Further research is required to understand the social cognition, usage reasons, dosage and consumption motivation of NS, and the relationships with health effects, to ensure that the nutrient supplements can be appropriately promoted in China.

25 April 2022 in Nutrients
Verified
Journal Article
Open access
PDF file
WLWeiyi Li
Weiyi Li
YJYingying Jiao
Yingying Jiao
LWLiu sen Wang
Liu sen Wang
SWShaoshunzi Wang
Shaoshunzi Wang
LHLixin Hao
Lixin Hao
HJHongru Jiang
Hongru Jiang
Magnesium is an essential mineral for the human body and a cofactor or activator for more than 300 enzymatic reactions, including blood glucose control and insulin release. Diabetes is a well-known global burden of disease with increasing global prevalence. In China, the prevalence of diabetes in adults is higher than the global average. Evidence shows that magnesium is a predictor of insulin resistance and diabetes. However, the majority of studies focus on dietary magnesium instead of serum magnesium concentration. We study the correlation of serum magnesium levels with insulin resistance and Type 2 diabetes. In this prospective cohort study, we included 5044 participants aged 18 years and older without insulin resistance (IR) and diabetes at the baseline from China Health and Nutrition Survey (CHNS). A fasting blood sample was taken for the measurement of both types of magnesium, fasting blood glucose, hemoglobin A1c (HbA1c), and fasting insulin. The homeostatic model (HOMA-IR) was calculated. Demographic characteristics of participants, and risk factors such as intensity of physical activities, smoking status, drinking habit, and anthropometric information were recorded. IR was defined as HOMA-IR ≥ 2.5, and Type 2 diabetes mellitus was defined as fasting plasma glucose ≥ 7.0 mmol/L or HbA1c ≥ 6.5%, or a self-reported diagnosis or treatment of diabetes. A total of 1331 incident insulin resistance events and 429 incident diabetic events were recorded during an average follow-up of 5.8 years. The serum magnesium concentration was categorized into quintiles. After adjusting for relevant covariates, the third quintile of serum magnesium (0.89–0.93 mmol/L) was correlated with 29% lower risk of incident insulin resistance (hazard ratio = 0.71, 95% CI 0.58, 0.86) and with a lower risk of Type 2 diabetes. Multivariable-adjusted hazard ratios (95% confidence intervals) for insulin resistance were compared with the lowest quintile of serum magnesium (<0.85). We found similar results when evaluating serum magnesium as a continuous measure. Restricted cubic spline (RCS) curves showed a nonlinear dose–response correlation in both serum magnesium levels and insulin resistance, and in serum magnesium levels and Type 2 diabetes. Lower serum magnesium concentration was associated with a higher risk of insulin resistance and diabetes.

23 September 2022 in Nutrients
Verified
Journal Article
Open access
PDF file
RZRongping Zhao
Rongping Zhao
LZLiyun Zhao
Liyun Zhao
XGXIANG GAO
XIANG GAO
FYFan Yang
Fan Yang
YYYuxiang Yang
Yuxiang Yang
GDGangqiang Ding
Gangqiang Ding
Regional dietetic cultures were indicated in China, but how dietary patterns geographically varied across China is unknown. Few studies systematically investigated the association of dietary patterns with overweight/obesity and hypertension and the potential mechanism with a national sample. This study included 34,040 adults aged 45 years and older from China Nutrition and Health Surveillance (2015–2017), who had complete outcome data, reliable intakes of calorie and cooking oils, unchanged diet habits, and without diagnosed cancer or cardiovascular disease. Outcomes were overweight/obesity and hypertension. By using the Gaussian finite mixture models, four dietary patterns were identified—common rice-based dietary pattern (CRB), prudent diversified dietary pattern (PD), northern wheat-based dietary pattern (NWB), and southern rice-based dietary pattern (SRB). Geographic variations in dietary patterns were depicted by age–sex standardized proportions of each pattern across 31 provinces in China. We assessed the association of these dietary patterns with outcomes and calculated the proportion mediated (PM) by overweight/obesity in the association of the dietary patterns with hypertension. Evident geographic disparities in dietary patterns across 31 provinces were observed. With CRB as reference group and covariates adjusted, the NWB had higher odds of being overweight/obese (odds ratio (OR) = 1.44, 95% confidence interval (CI): 1.36–1.52, p < 0.001) and hypertension (OR = 1.07, 95%CI: 1.01–1.14, p < 0.001, PM = 43.2%), while the SRB and the PD had lower odds of being overweight/obese (ORs = 0.84 and 0.92, 95%CIs: 0.79–0.89 and 0.85–0.99, p < 0.001 for both) and hypertension (ORs = 0.93 and 0.87, 95%CIs: 0.87–0.98 and 0.80–0.94, p = 0.038 for SRB and p < 0.001 for PD, PMs = 27.8% and 9.9%). The highest risk of overweight/obesity in the NWB presented in relatively higher carbohydrate intake (about 60% of energy) and relatively low fat intake (about 20% of energy). The different trends in the association of protein intake with overweight/obesity among dietary patterns were related to differences in animal food sources. In conclusion, the geographic distribution disparities of dietary patterns illustrate the existence of external environment factors and underscore the need for geographic-targeted dietary actions. Optimization of the overall dietary pattern is the key to the management of overweight/obesity and hypertension in China, with the emphasis on reducing low-quality carbohydrate intake, particularly for people with the typical northern diet, and selection of animal foods, particularly for people with the typical southern diet.