scholarly journals Hip Circumference and Incident Metabolic Risk Factors in Chinese Men and Women: The People's Republic of China Study

2011 ◽  
Vol 9 (1) ◽  
pp. 55-62 ◽  
Author(s):  
Eva G. Katz ◽  
June Stevens ◽  
Kimberly P. Truesdale ◽  
Jianwen Cai ◽  
Linda S. Adair ◽  
...  
Keyword(s):  
Risk Factors ◽  
Metabolic Risk Factors ◽  
People’S Republic Of China ◽  
Metabolic Risk ◽  
People's Republic Of China ◽  
Hip Circumference ◽  
Men And Women ◽  
Chinese Men ◽  
Republic Of China ◽  
China Study

CHD and its risk factors in the People's Republic of China

Health Policy ◽  
1990 ◽  
Vol 14 (2) ◽  
pp. 159
Author(s):  
S. Tao ◽  
Z. Huang ◽  
X. Wu ◽  
B. Zhou ◽  
Z. Xiao ◽  
...  
Keyword(s):  
Risk Factors ◽  
People’S Republic Of China ◽  
People's Republic Of China ◽  
Republic Of China

scholarly journals Comparison of Metabolic Risk Factors for Liver Cancer Among Men and Women in Guatemala

2017 ◽  
Vol 3 (2_suppl) ◽  
pp. 10s-11s ◽  
Author(s):  
Alvaro Rivera-Andrade ◽  
Maria Fernanda Kroker-Lobos ◽  
Mariana Lazo ◽  
Neal Freedman ◽  
John Groopman ◽  
...  
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Liver Cancer ◽  
Fatty Liver ◽  
Rural Areas ◽  
Urban Areas ◽  
Laboratory Data ◽  
Metabolic Risk Factors ◽  
Metabolic Risk ◽  
Men And Women

Abstract 13 Background: The proportion of liver cancer (LC) that is linked to metabolic risk factors has been increasing in many countries. Guatemala has the highest reported incidence of LC in the Americas, 1 but the prevalence of metabolic risk factors is not clear. We undertook this work to examine the prevalence of metabolic risk factors for LC in Guatemala by sex and residence. Methods: We conducted a cross-sectional study of 461 adults older than 40 years who resided in rural and urban areas. Risk factors were defined by using physical exam and laboratory data, including anthropometry, blood pressure, fasting plasma glucose, serum liver enzymes, and lipids. Fatty liver disease (FLD) was defined as a fatty liver index score of > 60 and liver fibrosis (LF) as defined by a FIB-4 score of > 2.67. 2 , 3 Results: Among participants, 66% resided in rural areas and 57% were women. Mean ages of men and women were 58.0 ± 11.3 and 53.4 ± 9.8 years, respectively. Compared with men, women had higher prevalence of obesity (15% v 41%; P ≤ .001), metabolic syndrome (46% v 74%; P < .001), and FLD (67% v 52%; P < .001), but not LF (6% v 4%; P = .238). Compared with men and women from rural areas, those from urban areas had higher prevalence of diabetes (10% v 27%; P = .002; and 14% v 32%; P < .001) FLD (42% v 67%; P < .001; and 59% v 79%; P < .001), and metabolic syndrome (37% v 58%; P = .005; and 69% v 81%; P = .032), respectively. There was no difference in prevalence of LF by area among either men (6% v 6%; P = .86) or women (3% v 4%; P = .75). Conclusion: This study highlights a high prevalence of metabolic risk factors for LC in Guatemala, especially among women in urban areas. AUTHORS' DISCLOSURES OF POTENTIAL CONFLICTS OF INTEREST Alvaro Rivera-Andrade No relationship to disclose Maria Fernanda Kroker-Lobos No relationship to disclose Mariana Lazo No relationship to disclose Neal Freedman No relationship to disclose John Groopman No relationship to disclose Eliseo Guallar No relationship to disclose Carlos Mendoza-Montano No relationship to disclose Katherine McGlynn No relationship to disclose Josh Smith Research Funding: Abbott Nutrition Manuel Ramirez-Zea No relationship to disclose

Risk Factors for Work-related Low Back Pain in the People's Republic of China

2000 ◽  
Vol 6 (1) ◽  
pp. 26-33 ◽  
Author(s):  
Kezhi Jin ◽  
Gary S. Sorock ◽  
Theodore Courtney ◽  
Youxin Liang ◽  
Zhenjun Yao ◽  
...  
Keyword(s):  
Risk Factors ◽  
Low Back Pain ◽  
Back Pain ◽  
People’S Republic Of China ◽  
Low Back ◽  
People's Republic Of China ◽  
Republic Of China ◽  
Work Related

scholarly journals Spatio-Temporal Trends and Risk Factors for Shigella from 2001 to 2011 in Jiangsu Province, People's Republic of China

PLoS ONE ◽  
2014 ◽  
Vol 9 (1) ◽  
pp. e83487 ◽  
Author(s):  
Fenyang Tang ◽  
Yuejia Cheng ◽  
Changjun Bao ◽  
Jianli Hu ◽  
Wendong Liu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Temporal Trends ◽  
Jiangsu Province ◽  
People’S Republic Of China ◽  
People's Republic Of China ◽  
Republic Of China ◽  
Spatio Temporal

CHD and Its Risk Factors in the People's Republic of China

1989 ◽  
Vol 18 (3_Supplement_1) ◽  
pp. S159-S163 ◽  
Author(s):  
Shouchi Tao ◽  
Zhendong Huang ◽  
Xigui Wu ◽  
Beifan Zhou ◽  
Zhikui Xiao ◽  
...  
Keyword(s):  
Risk Factors ◽  
People’S Republic Of China ◽  
People's Republic Of China ◽  
Republic Of China

Clustering of metabolic risk factors and cancer risk: a Self-Organizing Map approach

2019 ◽  
Author(s):  
Azra Ramezankhani ◽  
Fereidoun Azizi ◽  
Farzad Hadaegh
Keyword(s):  
Risk Factors ◽  
Cancer Risk ◽  
High Body Mass Index ◽  
Cox Proportional Hazards Model ◽  
Metabolic Risk Factors ◽  
Metabolic Risk ◽  
Self Organizing Map ◽  
High Systolic Blood Pressure ◽  
Men And Women ◽  
Self Organizing

Abstract Background: We examined the synergistic effects of multiple metabolic risk factors (MRFs) and cancer risk among Iranian adults. Methods: Among 8593 (3929 men) participants aged ≥30 years, the Self-organizing map (SOM) was applied to clustering of four MRFs including high fasting plasma glucose (HFPG), high total cholesterol (HTC), high systolic blood pressure (HSBP) and high body mass index (HBMI). The Cox proportional hazards model was used to investigate the association between clusters with cancer incidence during a median of 14.0 years. Results: About 32 and 40% of men and women, respectively, had three or four MRFs. We identified seven clusters of MRFs in both men and women. In both genders, MRFs were clustered in those with older age. Further, inverse associations were found between smoking in men and education level in women and clustering of MRFs. In men, a cluster with 100% HSBP and HBMI had the highest risk for overall cancer. While, among women, a cluster with 100% HFPG and 93% HBMI yielded the highest risk for cancer. The risk was decreased when HBMI accompanied by HTC. Conclusions: Clustering patterns may reflect underlying link between MRFs and cancer and could potentially facilitate tailored health promotion interventions.

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