1.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.
2.Anemia and iron metabolism characteristics in pregnant women with different genotypes of thalassemia: a retrospective cohort study
Linqing GUO ; Junqing LONG ; Lin KONG ; Dongru LI ; Yanqing TANG ; Xiaofeng HUANG ; Hui CHEN ; Yuqin QIN ; Yanyan LIANG ; Hongwei WEI
Chinese Journal of Perinatal Medicine 2025;28(5):363-370
Objective:To investigate the anemia conditions and characteristics of iron metabolism during different stages of pregnancy in women with different genotypes of thalassemia.Methods:This cohort study selected 3 303 singleton pregnant women who underwent regular prenatal examinations and genetic tests of thalassemia and were delivered at Maternal & Child Health Hospital of Guangxi Zhuang Autonomous Region from January 2019 to December 2023. According to the results of thalassemia gene testing, the women were divided into groups: those without thalassemia genes served as the control group (1 539 cases), and those with thalassemia genes (1 764 cases) were further divided based on genotype into the -α/αα group (326 cases), --/αα or -α/-α group (649 cases), point mutation α-thalassemia group (201 cases), β 0-thalassemia group (368 cases), β +-thalassemia group (91 cases), and α combined with β-thalassemia group (129 cases). Hemoglobin (Hb) and serum ferritin (SF) levels were measured in the first, second, and third trimester of pregnancy. Differences in anemia and iron reserves among the groups at different pregnancy stages were compared using repeated measures analysis of variance, LSD test, Kruskal-Wallis rank-sum test, and Bonferroni correction. Results:Compared to the first trimester, Hb levels decreased in the second and third trimester across all groups (LSD test, all P<0.05), and the severity of anemia increased (Bonferroni correction, all P<0.017). The severity of anemia varied among the groups at the same pregnancy stage ( Hfirst trimester=918.20, Hsecond trimester=1 224.50, Hthird trimester=980.19; all P<0.001), and Hb levels also differed ( Ffirst trimester=282.54, Fsecond trimester=352.31, Fthird trimester=239.02; all P<0.001). The β 0-thalassemia group had higher rates of moderate anemia in the first, second, and third trimester of pregnancy [38.6% (142/368), 85.3% (314/368), and 73.6% (271/368)] compared to other groups (Bonferroni correction, all P<0.002), and lower Hb levels [(102.1±8.9), (92.0±7.3), and (94.6±7.7) g/L] than other groups (LSD test, all P<0.05). As pregnancy progresses, SF levels in each group of pregnant women gradually decreased (LSD test, all P<0.05), and the degree of iron deficiency worsened (Bonferroni correction, all P<0.05). The iron deficiency rate in thalassemia pregnant women during the third trimester ranges from 21.5% (79/368) to 46.0% (150/326). The degree of iron deficiency varies among groups within the same gestational period ( Hfirst trimester=79.13, Hsecond trimester=203.98, Hthird trimester=130.55; all P<0.001), and SF levels also differ ( Ffirst trimester=17.28, Fsecond trimester=44.60, Fthird trimester=31.87; all P<0.001). Among them, the β 0-thalassemia group had the lowest iron deficiency rates in the second, and third trimesters [9.8% (36/368), and 21.5% (79/368)] (Bonferroni correction, all P<0.002). SF levels in the β 0-thalassemia and β +-thalassemia groups were higher than those in other groups during each gestational period (LSD test, all P<0.05). Conclusions:Pregnant women with thalassemia may experience varying degrees of iron deficiency during pregnancy, with the severity of iron deficiency and anemia increasing with gestational age. The degree of iron deficiency and anemia during pregnancy varies among pregnant women with different genotypes of thalassemia. Clinically, individualized management should be provided for pregnant women with thalassemia based on their genotypes, with dynamic monitoring of anemia and iron metabolism changes.
3.Comparison of Two Methods of LPS-Induced Two-Hit Acute Lung Injury Models and Analysis of Clinical Syndrome Characteristics in Chinese and Western Medicine
Guofeng CHEN ; Junqing LIANG ; Xu HE ; Xiaojia HUANG ; Ye LIN ; Jing SUN ; Yan LI
World Science and Technology-Modernization of Traditional Chinese Medicine 2025;27(8):2340-2350
Objective To explore the efficacy of two lipopolysaccharide(LPS)two-hit methods in establishing an acute lung injury(ALI)mouse model and analyze the characteristics of this model within the context of both Western and traditional Chinese medicine(TCM).Methods Healthy male C57BL/6 mice were randomly divided into six groups:PBS instillation control group,PBS nebulization control group,instillation two-hit group,nebulization two-hit group I,nebulization two-hit group Ⅱ,and nebulization two-hit group Ⅲ.Using LPS as a stimulant,a"two-hit"approach was employed to establish an ALI mouse model.Body temperature,weight,pulse oximetric oxygen saturation(SpO2),lung tissue wet-to-dry weight ratio(W/D),levels of tumor necrosis factor(TNF-α),interleukin-1β(IL-1β),and myeloperoxidase(MPO)activity in lung tissue,as well as total protein concentration and white blood cell count in bronchoalveolar lavage fluid were measured.Through evaluating the consistency between TCM and Western medical syndromes,the classification,characteristics,modeling methods,advantages,and disadvantages of the two-hit ALI animal model were summarized and analyzed based on the clinical diagnostic criteria and syndrome characteristics of ALI in both TCM and Western medicine.Results Compared with the control group,the body temperature,weight,and SpO2 of model group decreased,W/D increased,levels of TNF-α,IL-1β,and MPO activity in lung tissue increased.The alveolar walls thickened with a large exudate of red blood cells.The total protein concentration and white blood cell count in bronchoalveolar lavage fluid significantly increased.The existing two-hit ALI animal model showed a high degree of consistency with Western medical diagnostic main symptoms.Conclusion Both methods of two-hit can prepare mouse ALI models,among which the nebulization two-hit Group Ⅲ showed more pronounced effects in simulating the pathological changes and clinical symptoms of ALI.
4.Anemia and iron metabolism characteristics in pregnant women with different genotypes of thalassemia: a retrospective cohort study
Linqing GUO ; Junqing LONG ; Lin KONG ; Dongru LI ; Yanqing TANG ; Xiaofeng HUANG ; Hui CHEN ; Yuqin QIN ; Yanyan LIANG ; Hongwei WEI
Chinese Journal of Perinatal Medicine 2025;28(5):363-370
Objective:To investigate the anemia conditions and characteristics of iron metabolism during different stages of pregnancy in women with different genotypes of thalassemia.Methods:This cohort study selected 3 303 singleton pregnant women who underwent regular prenatal examinations and genetic tests of thalassemia and were delivered at Maternal & Child Health Hospital of Guangxi Zhuang Autonomous Region from January 2019 to December 2023. According to the results of thalassemia gene testing, the women were divided into groups: those without thalassemia genes served as the control group (1 539 cases), and those with thalassemia genes (1 764 cases) were further divided based on genotype into the -α/αα group (326 cases), --/αα or -α/-α group (649 cases), point mutation α-thalassemia group (201 cases), β 0-thalassemia group (368 cases), β +-thalassemia group (91 cases), and α combined with β-thalassemia group (129 cases). Hemoglobin (Hb) and serum ferritin (SF) levels were measured in the first, second, and third trimester of pregnancy. Differences in anemia and iron reserves among the groups at different pregnancy stages were compared using repeated measures analysis of variance, LSD test, Kruskal-Wallis rank-sum test, and Bonferroni correction. Results:Compared to the first trimester, Hb levels decreased in the second and third trimester across all groups (LSD test, all P<0.05), and the severity of anemia increased (Bonferroni correction, all P<0.017). The severity of anemia varied among the groups at the same pregnancy stage ( Hfirst trimester=918.20, Hsecond trimester=1 224.50, Hthird trimester=980.19; all P<0.001), and Hb levels also differed ( Ffirst trimester=282.54, Fsecond trimester=352.31, Fthird trimester=239.02; all P<0.001). The β 0-thalassemia group had higher rates of moderate anemia in the first, second, and third trimester of pregnancy [38.6% (142/368), 85.3% (314/368), and 73.6% (271/368)] compared to other groups (Bonferroni correction, all P<0.002), and lower Hb levels [(102.1±8.9), (92.0±7.3), and (94.6±7.7) g/L] than other groups (LSD test, all P<0.05). As pregnancy progresses, SF levels in each group of pregnant women gradually decreased (LSD test, all P<0.05), and the degree of iron deficiency worsened (Bonferroni correction, all P<0.05). The iron deficiency rate in thalassemia pregnant women during the third trimester ranges from 21.5% (79/368) to 46.0% (150/326). The degree of iron deficiency varies among groups within the same gestational period ( Hfirst trimester=79.13, Hsecond trimester=203.98, Hthird trimester=130.55; all P<0.001), and SF levels also differ ( Ffirst trimester=17.28, Fsecond trimester=44.60, Fthird trimester=31.87; all P<0.001). Among them, the β 0-thalassemia group had the lowest iron deficiency rates in the second, and third trimesters [9.8% (36/368), and 21.5% (79/368)] (Bonferroni correction, all P<0.002). SF levels in the β 0-thalassemia and β +-thalassemia groups were higher than those in other groups during each gestational period (LSD test, all P<0.05). Conclusions:Pregnant women with thalassemia may experience varying degrees of iron deficiency during pregnancy, with the severity of iron deficiency and anemia increasing with gestational age. The degree of iron deficiency and anemia during pregnancy varies among pregnant women with different genotypes of thalassemia. Clinically, individualized management should be provided for pregnant women with thalassemia based on their genotypes, with dynamic monitoring of anemia and iron metabolism changes.
5.Exploration of a Whole-Process Management Information System for Early Diagnosis and Treatment of Cancer Enabled by Digital Intelligence Technology
Min HUANG ; Lei YANG ; Bo CHEN ; Liyang MO ; Mingchen DING ; Junqing LIANG ; Xiaotian ZHANG
China Cancer 2025;34(3):220-226
The traditional web version of cancer screening information management platform can not fully meet the complex requirements of current early cancer diagnosis and treatment pro-grams,due to its functional limitation,low efficiency of data processing and difficulties in up-grading screening acceptability and effectiveness.This paper analyzes the informational require-ment for cancer early diagnosis and early treatment programs;introduces the design and construc-tion of an intellectualized management information platform;elaborates the roles of digital intelli-gence technology in the whole-process management,including intelligent health management;emphasizes the importance of improving the supervision and evaluation system for its high-quality development.The paper also discusses economic barriers and other issues related to the applica-tion of digital intelligence technology.
6.Comparison of Two Methods of LPS-Induced Two-Hit Acute Lung Injury Models and Analysis of Clinical Syndrome Characteristics in Chinese and Western Medicine
Guofeng CHEN ; Junqing LIANG ; Xu HE ; Xiaojia HUANG ; Ye LIN ; Jing SUN ; Yan LI
World Science and Technology-Modernization of Traditional Chinese Medicine 2025;27(8):2340-2350
Objective To explore the efficacy of two lipopolysaccharide(LPS)two-hit methods in establishing an acute lung injury(ALI)mouse model and analyze the characteristics of this model within the context of both Western and traditional Chinese medicine(TCM).Methods Healthy male C57BL/6 mice were randomly divided into six groups:PBS instillation control group,PBS nebulization control group,instillation two-hit group,nebulization two-hit group I,nebulization two-hit group Ⅱ,and nebulization two-hit group Ⅲ.Using LPS as a stimulant,a"two-hit"approach was employed to establish an ALI mouse model.Body temperature,weight,pulse oximetric oxygen saturation(SpO2),lung tissue wet-to-dry weight ratio(W/D),levels of tumor necrosis factor(TNF-α),interleukin-1β(IL-1β),and myeloperoxidase(MPO)activity in lung tissue,as well as total protein concentration and white blood cell count in bronchoalveolar lavage fluid were measured.Through evaluating the consistency between TCM and Western medical syndromes,the classification,characteristics,modeling methods,advantages,and disadvantages of the two-hit ALI animal model were summarized and analyzed based on the clinical diagnostic criteria and syndrome characteristics of ALI in both TCM and Western medicine.Results Compared with the control group,the body temperature,weight,and SpO2 of model group decreased,W/D increased,levels of TNF-α,IL-1β,and MPO activity in lung tissue increased.The alveolar walls thickened with a large exudate of red blood cells.The total protein concentration and white blood cell count in bronchoalveolar lavage fluid significantly increased.The existing two-hit ALI animal model showed a high degree of consistency with Western medical diagnostic main symptoms.Conclusion Both methods of two-hit can prepare mouse ALI models,among which the nebulization two-hit Group Ⅲ showed more pronounced effects in simulating the pathological changes and clinical symptoms of ALI.
7.Exploration of a Whole-Process Management Information System for Early Diagnosis and Treatment of Cancer Enabled by Digital Intelligence Technology
Min HUANG ; Lei YANG ; Bo CHEN ; Liyang MO ; Mingchen DING ; Junqing LIANG ; Xiaotian ZHANG
China Cancer 2025;34(3):220-226
The traditional web version of cancer screening information management platform can not fully meet the complex requirements of current early cancer diagnosis and treatment pro-grams,due to its functional limitation,low efficiency of data processing and difficulties in up-grading screening acceptability and effectiveness.This paper analyzes the informational require-ment for cancer early diagnosis and early treatment programs;introduces the design and construc-tion of an intellectualized management information platform;elaborates the roles of digital intelli-gence technology in the whole-process management,including intelligent health management;emphasizes the importance of improving the supervision and evaluation system for its high-quality development.The paper also discusses economic barriers and other issues related to the applica-tion of digital intelligence technology.
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.Research on the prediction of internet outpatient visits in public hospitals based on ARIMA and GM(1,1)model
Yanjie XU ; Liang XIN ; Junqing LIU ; Yan LI ; Shiyun LI ; Ruozhen WANG ; Honglei DONG
Modern Hospital 2024;24(1):14-19
Objective To understand the changing trend of Internet outpatient visits in public hospitals,and provide support for the development planning of Internet hospitals.Methods Using the data of Internet outpatient visits in a public hos-pital from January 2021 to June 2023,the ARIMA model and GM(1,1)model were constructed respectively.The mean absolute error(MAE)and root mean square error(RMSE)were used to evaluate the fitting effect,and the Internet outpatient visits from July to December 2023 were predicted based on the dominance model.Results ARIMA(1,2,1)model and GM(1,1)model were used to predict the number of return visits of Internet outpatient service.The average absolute errors were 369.86 and 978.84,and the root-mean-square errors were 479.49 and 1444.83,respectively.The ARIMA(0,1,0)model and GM(1,1)model were used to predict the number of Internet outpatient consultations.The average absolute errors were 297.23 and 369.62,and the root-mean-square errors were 413.61 and 496.30,respectively,indicating that the ARIMA model has a good prediction effect.The forecast results show that the predicted value of Internet outpatient visits in December 2023 is 14,831 cases,and the predicted value of consultation visits is 7461 cases.Conclusion The number of Internet outpatient visits in a public hospital will continue to rise from 2021 to 2023.Therefore,hospitals should fully realize the importance of Internet medical services,take ac-tive measures to continuously optimize the medical service model,and provide patients with high-quality,efficient and convenient Internet medical services.
10.Predictive analysis of internet-based oncology outpatient visits trend based on ARIMA and GM(1,1)models
Yanjie XU ; Liang XIN ; Junqing LIU ; Yan LI ; Shiyun LI ; Ruozhen WANG ; Henglei DONG
Modern Hospital 2024;24(2):275-279
Objective To investigate the changing trend of the current situation of Internet-based oncology outpatient treatment and provide support for the development and management of Internet hospitals.Methods The ARIMA and GM(1,1)models were constructed based on the Internet-based outpatient data of a cancer hospital from January 2021 to June 2023,and the fitting effect was evaluated by mean absolute error(MAE)and root mean square error(RMSE).Based on the model,the pro-portion of Internet-based outpatient visits and the offline outpatient visits were predicted from July to December 2023.Results ARIMA(1,1,2)and GM(1,1)models were used to predict the proportion of Internet-based outpatient visits.The average abso-lute errors were 2.06%and 2.41%,and the root-mean-square errors were 3.01%and 3.17%,respectively.The ARIMA(0,1,1)and GM(1,1)models were used to predict the proportion of Internet-based outpatient visits to the offline outpatient visits,with the rate of the average absolute errors of 0.58%and 1.08%,respectively,and the rate of the root mean square errors 0.75%and 1.31%,respectively.The figures indicated that the ARIMA model had a better prediction effect.The forecast results showed that the predicted value of Internet outpatient service in December 2023 was 90.35%,and the predicted value of Internet-based outpatient service accounted for 16.46%of the offline outpatient service.Conclusion In 2021-2023,the proportion of Inter-net-based outpatient visits in the cancer hospital showed a steady trend,and the proportion of Internet outpatient visits in the off-line outpatient visits showed a rising trend.Therefore,hospitals need to establish a continuous monitoring mechanism,constantly adjust management strategies and measures to meet the needs of patients and continue to promote the high-quality development of Internet-based medical services.

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