1.Gallstones, cholecystectomy, and cancer risk: an observational and Mendelian randomization study.
Yuanyue ZHU ; Linhui SHEN ; Yanan HUO ; Qin WAN ; Yingfen QIN ; Ruying HU ; Lixin SHI ; Qing SU ; Xuefeng YU ; Li YAN ; Guijun QIN ; Xulei TANG ; Gang CHEN ; Yu XU ; Tiange WANG ; Zhiyun ZHAO ; Zhengnan GAO ; Guixia WANG ; Feixia SHEN ; Xuejiang GU ; Zuojie LUO ; Li CHEN ; Qiang LI ; Zhen YE ; Yinfei ZHANG ; Chao LIU ; Youmin WANG ; Shengli WU ; Tao YANG ; Huacong DENG ; Lulu CHEN ; Tianshu ZENG ; Jiajun ZHAO ; Yiming MU ; Weiqing WANG ; Guang NING ; Jieli LU ; Min XU ; Yufang BI ; Weiguo HU
Frontiers of Medicine 2025;19(1):79-89
This study aimed to comprehensively examine the association of gallstones, cholecystectomy, and cancer risk. Multivariable logistic regressions were performed to estimate the observational associations of gallstones and cholecystectomy with cancer risk, using data from a nationwide cohort involving 239 799 participants. General and gender-specific two-sample Mendelian randomization (MR) analysis was further conducted to assess the causalities of the observed associations. Observationally, a history of gallstones without cholecystectomy was associated with a high risk of stomach cancer (adjusted odds ratio (aOR)=2.54, 95% confidence interval (CI) 1.50-4.28), liver and bile duct cancer (aOR=2.46, 95% CI 1.17-5.16), kidney cancer (aOR=2.04, 95% CI 1.05-3.94), and bladder cancer (aOR=2.23, 95% CI 1.01-5.13) in the general population, as well as cervical cancer (aOR=1.69, 95% CI 1.12-2.56) in women. Moreover, cholecystectomy was associated with high odds of stomach cancer (aOR=2.41, 95% CI 1.29-4.49), colorectal cancer (aOR=1.83, 95% CI 1.18-2.85), and cancer of liver and bile duct (aOR=2.58, 95% CI 1.11-6.02). MR analysis only supported the causal effect of gallstones on stomach, liver and bile duct, kidney, and bladder cancer. This study added evidence to the causal effect of gallstones on stomach, liver and bile duct, kidney, and bladder cancer, highlighting the importance of cancer screening in individuals with gallstones.
Humans
;
Mendelian Randomization Analysis
;
Gallstones/complications*
;
Female
;
Male
;
Cholecystectomy/statistics & numerical data*
;
Middle Aged
;
Risk Factors
;
Aged
;
Adult
;
Neoplasms/etiology*
;
Stomach Neoplasms/epidemiology*
2.Application value of pediatric sepsis-induced coagulopathy score and mean platelet volume/platelet count ratio in children with sepsis.
Jie HAN ; Xifeng ZHANG ; Zhenying WANG ; Guixia XU
Chinese Critical Care Medicine 2025;37(4):361-366
OBJECTIVE:
To investigate the application value of pediatric sepsis-induced coagulation (pSIC) score and mean platelet volume/platelet count (MPV/PLT) ratio in the diagnosis of pediatric sepsis and the determination of critical pediatric sepsis.
METHODS:
A retrospective cohort study was conducted, selecting 112 children with sepsis (sepsis group) admitted to pediatric intensive care unit (PICU) of Liaocheng Second People's Hospital from January 2020 to December 2023 as the study objects, and 50 children without sepsis admitted to the pediatric surgery department of our hospital during the same period for elective surgery due to inguinal hernia as the control (control group). The children with sepsis were divided into two groups according to the pediatric critical case score (PCIS). The children with PCIS score of ≤ 80 were classified as critically ill group, and those with PCIS score of > 80 was classified as non-critically ill group. pSIC score, coagulation indicators [prothrombin time (PT), international normalized ratio (INR), activated partial thromboplastin time (APTT), and fibrinogen (FIB)], and platelet related indicators (PLT, MPV, and MPV/PLT ratio) were collected. Pearson correlation method was used to analyze the correlation between pSIC score and MPV/PLT ratio as well as their correlation with coagulation indicators. Multivariate Logistic regression analysis was used to screen the independent risk factors for pediatric sepsis and critical pediatric sepsis. Receiver operator characteristic curve (ROC curve) was drawn to evaluate the application value of the above independent risk factors on the diagnosis of pediatric sepsis and the determination of critical pediatric sepsis.
RESULTS:
112 children with sepsis and 50 children without sepsis were enrolled in the final analysis. pSIC score, PT, INR, APTT, FIB, MPV, and MPV/PLT ratio in the sepsis group were significantly higher than those in the control group [pSIC score: 0.93±0.10 vs. 0.06±0.03, PT (s): 14.76±0.38 vs. 12.23±0.15, INR: 1.26±0.03 vs. 1.06±0.01, APTT (s): 40.08±0.94 vs. 32.47±0.54, FIB (g/L): 3.51±0.11 vs. 2.31±0.06, MPV (fL): 8.86±0.14 vs. 7.62±0.11, MPV/PLT ratio: 0.037±0.003 vs. 0.022±0.001, all P < 0.01], and PLT was slightly lower than that in the control group (×109/L: 306.00±11.01 vs. 345.90±10.57, P > 0.05). Among 112 children with sepsis, 46 were critically ill and 66 were non-critically ill. pSIC score, PT, INR, APTT, MPV, and MPV/PLT ratio in the critically ill group were significantly higher than those in the non-critically ill group [pSIC score: 1.74±0.17 vs. 0.36±0.07, PT (s): 16.55±0.80 vs. 13.52±0.23, INR: 1.39±0.07 vs. 1.17±0.02, APTT (s): 43.83±1.72 vs. 37.77±0.95, MPV (fL): 9.31±0.23 vs. 8.55±0.16, MPV/PLT ratio: 0.051±0.006 vs. 0.027±0.001, all P < 0.05], PLT was significantly lower than that in the non-critically ill group (×109/L: 260.50±18.89 vs. 337.70±11.90, P < 0.01), and FIB was slightly lower than that in the non-critically ill group (g/L: 3.28±0.19 vs. 3.67±0.14, P > 0.05). Correlation analysis showed that pSIC score was significantly positively correlated with MPV/PLT ratio and coagulation indicators including PT, APTT and INR in pediatric sepsis (r value was 0.583, 0.571, 0.296 and 0.518, respectively, all P < 0.01), and MPV/PLT ratio was also significantly positively correlated with PT, APTT and INR (r value was 0.300, 0.203 and 0.307, respectively, all P < 0.05). Multivariate Logistic regression analysis showed that pSIC score and MPV/PLT ratio were independent risk factors for pediatric sepsis and critical pediatric sepsis [pediatric sepsis: odds ratio (OR) and 95% confidence interval (95%CI) for pSIC score was 14.117 (4.190-47.555), and the OR value and 95%CI for MPV/PLT ratio was 1.128 (1.059-1.202), both P < 0.01; critical pediatric sepsis: the OR value and 95%CI for pSIC score was 8.142 (3.672-18.050), and the OR value and 95%CI for MPV/PLT ratio was 1.068 (1.028-1.109), all P < 0.01]. ROC curve analysis showed that pSIC score and MPV/PLT ratio had certain application value in the diagnosis of pediatric sepsis [area under the ROC curve (AUC) and 95%CI was 0.754 (0.700-0.808) and 0.720 (0.643-0.798), respectively] and the determination of critical pediatric sepsis [AUC and 95%CI was 0.849 (0.778-0.919) and 0.731 (0.632-0.830)], and the combined AUC of the two indictors was 0.815 (95%CI was 0.751-0.879) and 0.872 (95%CI was 0.806-0.938), respectively.
CONCLUSIONS
pSIC score and MPV/PLT ratio have potential application value in the diagnosis of pediatric sepsis and the determination of critical pediatric sepsis, and the combined application of both is more valuable.
Humans
;
Sepsis/complications*
;
Platelet Count
;
Mean Platelet Volume
;
Retrospective Studies
;
Child
;
Blood Coagulation Disorders/diagnosis*
;
Intensive Care Units, Pediatric
;
Male
;
Female
;
Partial Thromboplastin Time
;
Child, Preschool
;
Blood Coagulation
;
International Normalized Ratio
;
Infant
3.Guideline for Adult Weight Management in China
Weiqing WANG ; Qin WAN ; Jianhua MA ; Guang WANG ; Yufan WANG ; Guixia WANG ; Yongquan SHI ; Tingjun YE ; Xiaoguang SHI ; Jian KUANG ; Bo FENG ; Xiuyan FENG ; Guang NING ; Yiming MU ; Hongyu KUANG ; Xiaoping XING ; Chunli PIAO ; Xingbo CHENG ; Zhifeng CHENG ; Yufang BI ; Yan BI ; Wenshan LYU ; Dalong ZHU ; Cuiyan ZHU ; Wei ZHU ; Fei HUA ; Fei XIANG ; Shuang YAN ; Zilin SUN ; Yadong SUN ; Liqin SUN ; Luying SUN ; Li YAN ; Yanbing LI ; Hong LI ; Shu LI ; Ling LI ; Yiming LI ; Chenzhong LI ; Hua YANG ; Jinkui YANG ; Ling YANG ; Ying YANG ; Tao YANG ; Xiao YANG ; Xinhua XIAO ; Dan WU ; Jinsong KUANG ; Lanjie HE ; Wei GU ; Jie SHEN ; Yongfeng SONG ; Qiao ZHANG ; Hong ZHANG ; Yuwei ZHANG ; Junqing ZHANG ; Xianfeng ZHANG ; Miao ZHANG ; Yifei ZHANG ; Yingli LU ; Hong CHEN ; Li CHEN ; Bing CHEN ; Shihong CHEN ; Guiyan CHEN ; Haibing CHEN ; Lei CHEN ; Yanyan CHEN ; Genben CHEN ; Yikun ZHOU ; Xianghai ZHOU ; Qiang ZHOU ; Jiaqiang ZHOU ; Hongting ZHENG ; Zhongyan SHAN ; Jiajun ZHAO ; Dong ZHAO ; Ji HU ; Jiang HU ; Xinguo HOU ; Bimin SHI ; Tianpei HONG ; Mingxia YUAN ; Weibo XIA ; Xuejiang GU ; Yong XU ; Shuguang PANG ; Tianshu GAO ; Zuhua GAO ; Xiaohui GUO ; Hongyi CAO ; Mingfeng CAO ; Xiaopei CAO ; Jing MA ; Bin LU ; Zhen LIANG ; Jun LIANG ; Min LONG ; Yongde PENG ; Jin LU ; Hongyun LU ; Yan LU ; Chunping ZENG ; Binhong WEN ; Xueyong LOU ; Qingbo GUAN ; Lin LIAO ; Xin LIAO ; Ping XIONG ; Yaoming XUE
Chinese Journal of Endocrinology and Metabolism 2025;41(11):891-907
Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.
4.Global analysis and forecast of the burden of infertility in 204 countries and territories from 1990 to 2019
Yaning SUN ; Ning XU ; Yinyin CHEN ; Yingying CHEN ; Yawen CAO ; Wenbin FANG ; Shuangshuang BAO ; Shanshan SHAO ; Fangbiao TAO ; Guixia PAN
Chinese Journal of Reproduction and Contraception 2025;45(3):277-285
Objective:To analyze the trend of infertility disease burden from 1990 to 2019 and predict the age-standardized prevalence rate (ASPR) and age-standardized disability-adjusted life-year (DALY) rate of male and female infertility for 2020—2029, providing a certain reference for the prevention and treatment of infertility diseases.Methods:Based on the Global Burden of Disease 2019, prevalence, ASPR, DALY rate, and age-standardized DALY rate were used to evaluate the global burden of infertility comprehensively. The estimated annual percentage change was used to describe trends in the disease burden of infertility in 21 regions worldwide. The Bayesian age period cohort model was used to predict the ASPR and age-standardized DALY rate for male and female infertility in 204 countries and regions from 2020 to 2029. Sensitivity analysis was performed using the autoregressive integrated moving average model.Results:The prevalence, DALY rate, ASPR and age-standardized DALY rate of global male infertility increased from 319.52 per 100 000,1.82 per 100 000, 2 856.53 per 100 000, and 16.19 per 100 000 in 1990 to 565.30 per 100 000, 3.22 per 100 000, 3 398.53 per 100 000, and 19.36 per 100 000 in 2019, respectively. The prevalence, DALY rate, ASPR, and age-standardized DALY rate of global female infertility increased from 656.67 per 100 000, 3.53 per 100 000, 6 036.36 per 100 000, and 32.27 per 100 000 in 1990 to 1 223.78 per 100 000, 6.59 per 10 000, 7 483.12 per 100 000, and 40.33 per 100 000 in 2019, respectively. The burden of infertility disease was the highest in men and women aged 30-34 years, and the ASPR and age-standardized DALY rates were 4 407.47 per 100 000, 25.08 per 100 000, 10 270.55 per 100 000 and 55.65 per 100 000, respectively. Only in 45-49 years of age, the prevalence of infertility (11.31 per 100 000) and DALY rate (0.06 per 100 000) in women were lower than those in men (15.68 per 100 000 and 0.08 per 100 000). In addition, the burden of infertility was the lowest in high socio-demographic index regions. Cameroon had the highest ASPR (7 652.40 per 100 000) and age-standardized DALY rate (43.94 per 100 000) for male infertility. Chinese women had the highest ASPR (20 402.30 per 100 000) and age-standardized DALY rate (106.16 per 100 000) of infertility. The forecast results show that the burden of male and female infertility diseases will increase in 204 countries and regions from 2020 to 2029.Conclusion:The burden of infertility diseases in men and women increased in 204 countries and regions from 1990 to 2019, and it is predicted that the global burden of infertility diseases will continue to rise in 2020—2029. Preliminary screening of infertility should be carried out as soon as possible, health education should be strengthened and effective prevention and treatment strategies should be formulated.
5.Risk factors for pediatric sepsis-induced coagulopathy and construction of nomogram model
Zhenying WANG ; Yuanyuan ZHANG ; Xifeng ZHANG ; Xiuqing ZHANG ; Guixia XU
Chinese Pediatric Emergency Medicine 2025;32(5):352-357
Objective:To investigate the risk factors of pediatric sepsis-induced coagulopathy(pSIC),and to construct a nomogram prediction model for early prediction of pSIC.Methods:Using a cross-sectional retrospective cohort design,children with sepsis who were hospitalized in PICU of the Second People's Hospital of Liaocheng Subsidiary to Shandong First Medical University from January 2017 to December 2023 were selected as the study objects,and the diagnosis of sepsis met the diagnostic criteria for childhood sepsis of the 2015 edition.According to the diagnostic criteria of pSIC,the children with sepsis were divided into common sepsis group and pSIC group.The clinical data of both groups were compared,such as general condition,inflammatory indicators,coagulation indicators,sequential organ failure assessment(pSOFA),pSIC score,PICU duration,etc.The risk factors of pSIC were initially screened by Lasso regression analysis,and the independent risk factors were screened by multivariate Logistic regression analysis.R software was used to construct the risk prediction nomogram and evaluate the model.Results:A total of 150 children with sepsis were included in the study,including 121 in the common sepsis group and 29 in the pSIC group.Lasso regression and multivariate Logistic regression analysis showed that pSOFA,prothrombin time(PT),alanine aminotransferase(ALT),blood urea nitrogen(BUN),mean platelet volume/platelet(MPV/PLT)and pediatric critical illness score(PCIS) were independent risk factors for pSIC(all P<0.05).Since the sources of the pSIC score overlaped with those of pSOFA and PT, only four indicators including ALT,BUN,MPV/PLT and PCIS were used to construct a nomogram model for predicting pSIC.The consistency index of the nomogram model was 0.98,and the area under the receiver operating characteristic curve was 0.975(95% CI 0.952-0.999).The calibration curve was shown as a straight line with slope close to 1,indicating that the nomogram model had good accuracy in predicting pSIC.The clinical decision curve indicated that the nomogram model had good clinical applicability. Conclusion:pSOFA,PT,ALT,BUN,MPV/PLT and PCIS were all independent risk factors for pSIC.The risk prediction nomogram model of pSIC based on ALT,BUN,MPV/PLT and PCIS can predict the occurrence of pSIC,and provide reference for early clinical recognition and intervention.
6.Global analysis and forecast of the burden of infertility in 204 countries and territories from 1990 to 2019
Yaning SUN ; Ning XU ; Yinyin CHEN ; Yingying CHEN ; Yawen CAO ; Wenbin FANG ; Shuangshuang BAO ; Shanshan SHAO ; Fangbiao TAO ; Guixia PAN
Chinese Journal of Reproduction and Contraception 2025;45(3):277-285
Objective:To analyze the trend of infertility disease burden from 1990 to 2019 and predict the age-standardized prevalence rate (ASPR) and age-standardized disability-adjusted life-year (DALY) rate of male and female infertility for 2020—2029, providing a certain reference for the prevention and treatment of infertility diseases.Methods:Based on the Global Burden of Disease 2019, prevalence, ASPR, DALY rate, and age-standardized DALY rate were used to evaluate the global burden of infertility comprehensively. The estimated annual percentage change was used to describe trends in the disease burden of infertility in 21 regions worldwide. The Bayesian age period cohort model was used to predict the ASPR and age-standardized DALY rate for male and female infertility in 204 countries and regions from 2020 to 2029. Sensitivity analysis was performed using the autoregressive integrated moving average model.Results:The prevalence, DALY rate, ASPR and age-standardized DALY rate of global male infertility increased from 319.52 per 100 000,1.82 per 100 000, 2 856.53 per 100 000, and 16.19 per 100 000 in 1990 to 565.30 per 100 000, 3.22 per 100 000, 3 398.53 per 100 000, and 19.36 per 100 000 in 2019, respectively. The prevalence, DALY rate, ASPR, and age-standardized DALY rate of global female infertility increased from 656.67 per 100 000, 3.53 per 100 000, 6 036.36 per 100 000, and 32.27 per 100 000 in 1990 to 1 223.78 per 100 000, 6.59 per 10 000, 7 483.12 per 100 000, and 40.33 per 100 000 in 2019, respectively. The burden of infertility disease was the highest in men and women aged 30-34 years, and the ASPR and age-standardized DALY rates were 4 407.47 per 100 000, 25.08 per 100 000, 10 270.55 per 100 000 and 55.65 per 100 000, respectively. Only in 45-49 years of age, the prevalence of infertility (11.31 per 100 000) and DALY rate (0.06 per 100 000) in women were lower than those in men (15.68 per 100 000 and 0.08 per 100 000). In addition, the burden of infertility was the lowest in high socio-demographic index regions. Cameroon had the highest ASPR (7 652.40 per 100 000) and age-standardized DALY rate (43.94 per 100 000) for male infertility. Chinese women had the highest ASPR (20 402.30 per 100 000) and age-standardized DALY rate (106.16 per 100 000) of infertility. The forecast results show that the burden of male and female infertility diseases will increase in 204 countries and regions from 2020 to 2029.Conclusion:The burden of infertility diseases in men and women increased in 204 countries and regions from 1990 to 2019, and it is predicted that the global burden of infertility diseases will continue to rise in 2020—2029. Preliminary screening of infertility should be carried out as soon as possible, health education should be strengthened and effective prevention and treatment strategies should be formulated.
7.Risk factors for pediatric sepsis-induced coagulopathy and construction of nomogram model
Zhenying WANG ; Yuanyuan ZHANG ; Xifeng ZHANG ; Xiuqing ZHANG ; Guixia XU
Chinese Pediatric Emergency Medicine 2025;32(5):352-357
Objective:To investigate the risk factors of pediatric sepsis-induced coagulopathy(pSIC),and to construct a nomogram prediction model for early prediction of pSIC.Methods:Using a cross-sectional retrospective cohort design,children with sepsis who were hospitalized in PICU of the Second People's Hospital of Liaocheng Subsidiary to Shandong First Medical University from January 2017 to December 2023 were selected as the study objects,and the diagnosis of sepsis met the diagnostic criteria for childhood sepsis of the 2015 edition.According to the diagnostic criteria of pSIC,the children with sepsis were divided into common sepsis group and pSIC group.The clinical data of both groups were compared,such as general condition,inflammatory indicators,coagulation indicators,sequential organ failure assessment(pSOFA),pSIC score,PICU duration,etc.The risk factors of pSIC were initially screened by Lasso regression analysis,and the independent risk factors were screened by multivariate Logistic regression analysis.R software was used to construct the risk prediction nomogram and evaluate the model.Results:A total of 150 children with sepsis were included in the study,including 121 in the common sepsis group and 29 in the pSIC group.Lasso regression and multivariate Logistic regression analysis showed that pSOFA,prothrombin time(PT),alanine aminotransferase(ALT),blood urea nitrogen(BUN),mean platelet volume/platelet(MPV/PLT)and pediatric critical illness score(PCIS) were independent risk factors for pSIC(all P<0.05).Since the sources of the pSIC score overlaped with those of pSOFA and PT, only four indicators including ALT,BUN,MPV/PLT and PCIS were used to construct a nomogram model for predicting pSIC.The consistency index of the nomogram model was 0.98,and the area under the receiver operating characteristic curve was 0.975(95% CI 0.952-0.999).The calibration curve was shown as a straight line with slope close to 1,indicating that the nomogram model had good accuracy in predicting pSIC.The clinical decision curve indicated that the nomogram model had good clinical applicability. Conclusion:pSOFA,PT,ALT,BUN,MPV/PLT and PCIS were all independent risk factors for pSIC.The risk prediction nomogram model of pSIC based on ALT,BUN,MPV/PLT and PCIS can predict the occurrence of pSIC,and provide reference for early clinical recognition and intervention.
8.Guideline for Adult Weight Management in China
Weiqing WANG ; Qin WAN ; Jianhua MA ; Guang WANG ; Yufan WANG ; Guixia WANG ; Yongquan SHI ; Tingjun YE ; Xiaoguang SHI ; Jian KUANG ; Bo FENG ; Xiuyan FENG ; Guang NING ; Yiming MU ; Hongyu KUANG ; Xiaoping XING ; Chunli PIAO ; Xingbo CHENG ; Zhifeng CHENG ; Yufang BI ; Yan BI ; Wenshan LYU ; Dalong ZHU ; Cuiyan ZHU ; Wei ZHU ; Fei HUA ; Fei XIANG ; Shuang YAN ; Zilin SUN ; Yadong SUN ; Liqin SUN ; Luying SUN ; Li YAN ; Yanbing LI ; Hong LI ; Shu LI ; Ling LI ; Yiming LI ; Chenzhong LI ; Hua YANG ; Jinkui YANG ; Ling YANG ; Ying YANG ; Tao YANG ; Xiao YANG ; Xinhua XIAO ; Dan WU ; Jinsong KUANG ; Lanjie HE ; Wei GU ; Jie SHEN ; Yongfeng SONG ; Qiao ZHANG ; Hong ZHANG ; Yuwei ZHANG ; Junqing ZHANG ; Xianfeng ZHANG ; Miao ZHANG ; Yifei ZHANG ; Yingli LU ; Hong CHEN ; Li CHEN ; Bing CHEN ; Shihong CHEN ; Guiyan CHEN ; Haibing CHEN ; Lei CHEN ; Yanyan CHEN ; Genben CHEN ; Yikun ZHOU ; Xianghai ZHOU ; Qiang ZHOU ; Jiaqiang ZHOU ; Hongting ZHENG ; Zhongyan SHAN ; Jiajun ZHAO ; Dong ZHAO ; Ji HU ; Jiang HU ; Xinguo HOU ; Bimin SHI ; Tianpei HONG ; Mingxia YUAN ; Weibo XIA ; Xuejiang GU ; Yong XU ; Shuguang PANG ; Tianshu GAO ; Zuhua GAO ; Xiaohui GUO ; Hongyi CAO ; Mingfeng CAO ; Xiaopei CAO ; Jing MA ; Bin LU ; Zhen LIANG ; Jun LIANG ; Min LONG ; Yongde PENG ; Jin LU ; Hongyun LU ; Yan LU ; Chunping ZENG ; Binhong WEN ; Xueyong LOU ; Qingbo GUAN ; Lin LIAO ; Xin LIAO ; Ping XIONG ; Yaoming XUE
Chinese Journal of Endocrinology and Metabolism 2025;41(11):891-907
Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.
9.The Association between Educational Attainment and the Risk of Nonalcoholic Fatty Liver Disease among Chinese Adults: Findings from the REACTION Study
Yuanyue ZHU ; Long WANG ; Lin LIN ; Yanan HUO ; Qin WAN ; Yingfen QIN ; Ruying HU ; Lixin SHI ; Qing SU ; Xuefeng YU ; Li YAN ; Guijun QIN ; Xulei TANG ; Gang CHEN ; Shuangyuan WANG ; Hong LIN ; Xueyan WU ; Chunyan HU ; Mian LI ; Min XU ; Yu XU ; Tiange WANG ; Zhiyun ZHAO ; Zhengnan GAO ; Guixia WANG ; Feixia SHEN ; Xuejiang GU ; Zuojie LUO ; Li CHEN ; Qiang LI ; Zhen YE ; Yinfei ZHANG ; Chao LIU ; Youmin WANG ; Shengli WU ; Tao YANG ; Huacong DENG ; Lulu CHEN ; Tianshu ZENG ; Jiajun ZHAO ; Yiming MU ; Weiqing WANG ; Guang NING ; Yufang BI ; Yuhong CHEN ; Jieli LU
Gut and Liver 2024;18(4):719-728
Background/Aims:
Low educational attainment is a well-established risk factor for nonalcoholic fatty liver disease (NAFLD) in developed areas. However, the association between educational attainment and the risk of NAFLD is less clear in China.
Methods:
A cross-sectional study including over 200,000 Chinese adults across mainland China was conducted. Information on education level and lifestyle factors were obtained through standard questionnaires, while NAFLD and advanced fibrosis were diagnosed using validated formulas. Outcomes included the risk of NAFLD in the general population and high probability of fibrosis among patients with NAFLD. Logistic regression analysis was employed to estimate the risk of NAFLD and fibrosis across education levels. A causal mediation model was used to explore the potential mediators.
Results:
Comparing with those receiving primary school education, the multi-adjusted odds ratios (95% confidence intervals) for NAFLD were 1.28 (1.16 to 1.41) for men and 0.94 (0.89 to 0.99) for women with college education after accounting for body mass index. When considering waist circumference, the odds ratios (95% CIs) were 0.94 (0.86 to 1.04) for men and 0.88 (0.80 to 0.97) for women, respectively. The proportions mediated by general and central obesity were 51.00% and 68.04% for men, while for women the proportions were 48.58% and 32.58%, respectively. Furthermore, NAFLD patients with lower educational attainment showed an incremental increased risk of advanced fibrosis in both genders.
Conclusions
In China, a low education level was associated with a higher risk of prevalent NAFLD in women, as well as high probability of fibrosis in both genders.
10.Corrigendum to: The Association between Educational Attainment and the Risk of Nonalcoholic Fatty Liver Disease among Chinese Adults: Findings from the REACTION Study
Yuanyue ZHU ; Long WANG ; Lin LIN ; Yanan HUO ; Qin WAN ; Yingfen QIN ; Ruying HU ; Lixin SHI ; Qing SU ; Xuefeng YU ; Li YAN ; Guijun QIN ; Xulei TANG ; Gang CHEN ; Shuangyuan WANG ; Hong LIN ; Xueyan WU ; Chunyan HU ; Mian LI ; Min XU ; Yu XU ; Tiange WANG ; Zhiyun ZHAO ; Zhengnan GAO ; Guixia WANG ; Feixia SHEN ; Xuejiang GU ; Zuojie LUO ; Li CHEN ; Qiang LI ; Zhen YE ; Yinfei ZHANG ; Chao LIU ; Youmin WANG ; Shengli WU ; Tao YANG ; Huacong DENG ; Lulu CHEN ; Tianshu ZENG ; Jiajun ZHAO ; Yiming MU ; Weiqing WANG ; Guang NING ; Yufang BI ; Yuhong CHEN ; Jieli LU
Gut and Liver 2024;18(5):926-927

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