Obesity is a multi-factorial disease involving genetics, individual behavior, socio-economic status, and environmental factors, and has become a global public health issue. The food environment, as an external factor amenable to direct intervention, affects the development of obesity by shaping individual food acquisition and consumption behaviors. The food environment refers to the physical and social environment where food is accessible, and can be assessed from dimensions such as availability, accessibility, and affordability through geographic information system spatial analysis, field surveys, commercial databases, and questionnaires. Studies indicate that the food environment can influence obesity through the spatial shaping effects of dietary structure and sociobehavioral pathways. A healthy food environment is negatively correlated with the risk of obesity, whereas an unhealthy food environment is positively correlated with the risk of obesity. This paper reviews studies related to the correlation between the food environment and obesity, covering the prevalence of obesity, the definition and assessment methods of the food environment, and the mechanisms by which the food environment affects obesity. It summarizes food environment intervention strategies centered on urban planning, policies and regulations, and community education to provide a reference for obesity prevention and control.

ObjectiveTo explore the mechanism by which the ethanol extract of Epimedium brevicornu （EEBM） intervenes in mesenchymal adipose-derived stem cells （ADSCs） to delay aging in castrated rats. MethodsForty-five 3-month-old SPF female SD rats were ovariectomized and randomly divided into model group， ADSCs treatment group， and ADSCs groups treated with low， medium， and high concentrations of EEBM （1， 50， 100 μg·L^-1）， referred to as the AE low， medium， and high concentration groups， with 9 rats in each group. After tail vein injection of 200 μL of the corresponding stem cell suspension， aging-related indicators including cyclin-dependent kinase inhibitor （p21）， tumor suppressor gene （p53）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， superoxide dismutase （SOD）， malondialdehyde （MDA）， B-cell lymphoma-2 （Bcl-2）， Bcl-2-associated X protein （Bax）， cysteine-aspartic acid protease-3 （Caspase-3）， and lipofuscin were measured using enzyme-linked immunosorbent assay （ELISA） and Western blot. ResultsCompared with the model group， the IL-6 content in the AE low， medium， and high concentration groups was significantly decreased （P<0.05）. Lipofuscin， MDA， and IL-8 levels in the ADSCs treatment group and AE low， medium， and high concentration groups were significantly reduced （P<0.01）， while SOD content was significantly increased （P<0.05， P<0.01）. Compared with the ADSCs treatment group， lipofuscin and IL-8 levels in the AE low， medium， and high concentration groups were significantly reduced （P<0.05， P<0.01）. The MDA content was significantly decreased in the AE medium concentration group （P<0.01）. Compared with the model group， protein levels of p21， p53， Bax， and Caspase-3 in the ADSCs treatment group and AE low， medium， and high concentration groups were significantly reduced （P<0.05， P<0.01）， while the Bcl-2 protein level was significantly increased （P<0.01）. Compared with the ADSCs treatment group， protein levels of p21， p53， Bax， and Caspase-3 in the AE low， medium， and high concentration groups were significantly reduced （P<0.05， P<0.01）， and the Bcl-2 protein level in the AE low concentration group was significantly increased （P<0.01）. ConclusionThe results of this experiment show that EEBM-treated ADSCs or ADSCs may delay aging in castrated rats by inhibiting cell apoptosis， reducing cell cycle inhibitors and pro-inflammatory factors， enhancing antioxidant capacity， and reducing oxidative reactions. Moreover， EEBM-treated ADSCs demonstrate stronger anti-aging effects than ADSCs alone. This study provides experimental evidence supporting the clinical use of EEBM to intervene in ADSCs and delay aging.

ObjectiveTo explore the potential mechanism of Erchen Decoction （二陈汤， ECD） in improving metabolic syndrome （MS） with phlegm syndrome. MethodsForty mice were randomly divided into a blank group of 10 mice and a modeling group of 30 mice. The MS model with phlegm syndrome was induced in the modeling group by high-fat diet. Thirty successfully modeled mice were randomly divided into a model group， a ECD group， and a metformin group， with 10 mice in each group. The ECD group was given 0.4 g/（kg·d） of ECD， while the metformin group was intervened with 11.1 g/（kg·d） of metformin solution， and the blank group and the model group were given 0.02 ml/（g·d） of sterilized drinking water， all by gavage， once daily for 4 weeks. Body weight， abdominal circumfe-rence， body length， Lee's index and food intake were recorded. Blood glucose and blood lipid levels including fasting blood glucose， triglycerides （TG）， total cholesterol （TC）， high-density lipoprotein cholesterol （HDL-C）， and low-density lipoprotein cholesterol （LDL-C） were measured. ELISA was used to detect serum leptin levels， while HE staining was used to observe liver pathological changes. Western Blot and q-PCR were used to detect protein and mRNA expression of hypothalamic leptin receptor （LepR）， pro melanocortin （POMC）， and neuropeptide Y （NPY） in the hypothalamus. Immunofluorescence was used to detect fluorescence expression of POMC and NPY in the hypothalamic arcuate nucleus region. ResultsPathological results showed that the mice in the model group had numerous fat vacuoles in hepatocytes and significant liver fat deposition， while the ECD and metformin groups showed reduced fat vacuoles and less liver fat deposition. Compared to those in the blank group， the mice in the model group mice showed liver fat deposition， increased body weight， abdominal circumference， Lee's index and food intake； fasting blood glucose， TG， TC， LDL-C， and serum leptin levels were elevated， while HDL-C was decreased； the expression of LepR， POMC protein levels and their mRNA expression decreased， while the protein level and mRNA expression of NPY increased； the fluorescence expression of POMC in the arcuate nucleus was reduced， while NPY fluorescence expression increased （P＜0.05 or P＜0.01）. Compared to the model group， the ECD group and metformin group showed significant improvements in the above indicators （P＜0.05 or P＜0.01）. Compared to the ECD group， the metformin group showed a reduction in body weight and NPY fluorescence expression， and an increase in HDL-C levels （P＜0.05 or P＜0.01）. ConclusionECD can downregulate serum leptin levels and improve glucose and lipid metabolism in the MS of phlegm syndrome. Its mechanism of action may be to reduce liver fat deposition and thereafter affect the expression of neuropeptides related to feeding activity in the hypothalamus.

Objective:To explore the impact of adolescent mental health status on smartphone addiction, and construct a predictive model for smartphone addiction based on the eXtreme Gradient Boosting(XGBoost) algorithm and multivariate Logistic regression.Methods:In April 2023, a cross-sectional survey was conducted among 14 666 adolescents.All participants were systematically evaluated using a self-developed general information questionnaire, the middle school student mental health scale(MSSMHS), the adolescents self-harm scale(ASHS), the interaction anxiousness scale(IAS), the mobile phone addiction index(MPAI), the middle school students shame scale(MSSS), the UCLA loneliness scale(UCLA-LS), the multidimensional peer victimization scale(MPVS), and the basic psychological needs scale(BPNS).R software version 4.3.2 was used for data analysis. Participants were randomly divided into training set and validation set at the ratio of 7∶3.The XGBoost model and multivariate logistic regression model were constructed to predict the risk of smartphone addiction, and a nomogram was plotted.Model performance was evaluated using the Hosmer-Lemeshow test, area under the curve(AUC), and accuracy(ACC).Results:(1) A total of 14 036 high school students were included in the study, with 5 069(36.1%) exhibited smartphone addiction.The training set comprised 9 826 students, with 3 549(36.1%) being smartphone addicts.The validation set included 4 210 students, with 1 520(36.1%) being smartphone addicts.(2) The XGBoost model identified shame-proneness and social anxiety as the two main predictors of smartphone addiction.(3) Multivariate Logistic regression analysis revealed that anxiety( B=0.328, OR(95% CI)=1.39(1.07-1.81), P=0.015), interpersonal sensitivity( B=0.311, OR(95% CI)=1.36(1.05-1.77), P=0.018), learning pressure( B=0.606, OR(95% CI)=1.83(1.46-2.31), P<0.001), mood swings( B=0.775, OR(95% CI)=2.17(1.70-2.78), P<0.001), social anxiety( B=0.024, OR(95% CI)=1.02(1.01-1.04), P<0.001), shame-proneness( B=0.049, OR(95% CI)=1.05(1.04-1.06), P<0.001), and peer victimization( B=0.037, OR(95% CI)=1.04(1.02-1.06), P<0.001) were significant predictors of smartphone addiction.(4) The ACC and AUC values of the XGBoost model were 0.890 and 0.929 in the training set, and 0.865 and 0.864 in the validation set, respectively.The multivariate Logistic regression model achieved ACC and AUC values of 0.870 and 0.854 in the training set, and 0.867 and 0.859 in the validation set, respectively. Conclusion:Anxiety, interpersonal sensitivity, learning pressure, mood swings, social anxiety, shame-proneness, and peer victimization are identified risk predictors of smartphone addiction in high school adolescents.

Objective:To explore the impact of adolescent mental health status on smartphone addiction, and construct a predictive model for smartphone addiction based on the eXtreme Gradient Boosting(XGBoost) algorithm and multivariate Logistic regression.Methods:In April 2023, a cross-sectional survey was conducted among 14 666 adolescents.All participants were systematically evaluated using a self-developed general information questionnaire, the middle school student mental health scale(MSSMHS), the adolescents self-harm scale(ASHS), the interaction anxiousness scale(IAS), the mobile phone addiction index(MPAI), the middle school students shame scale(MSSS), the UCLA loneliness scale(UCLA-LS), the multidimensional peer victimization scale(MPVS), and the basic psychological needs scale(BPNS).R software version 4.3.2 was used for data analysis. Participants were randomly divided into training set and validation set at the ratio of 7∶3.The XGBoost model and multivariate logistic regression model were constructed to predict the risk of smartphone addiction, and a nomogram was plotted.Model performance was evaluated using the Hosmer-Lemeshow test, area under the curve(AUC), and accuracy(ACC).Results:(1) A total of 14 036 high school students were included in the study, with 5 069(36.1%) exhibited smartphone addiction.The training set comprised 9 826 students, with 3 549(36.1%) being smartphone addicts.The validation set included 4 210 students, with 1 520(36.1%) being smartphone addicts.(2) The XGBoost model identified shame-proneness and social anxiety as the two main predictors of smartphone addiction.(3) Multivariate Logistic regression analysis revealed that anxiety( B=0.328, OR(95% CI)=1.39(1.07-1.81), P=0.015), interpersonal sensitivity( B=0.311, OR(95% CI)=1.36(1.05-1.77), P=0.018), learning pressure( B=0.606, OR(95% CI)=1.83(1.46-2.31), P<0.001), mood swings( B=0.775, OR(95% CI)=2.17(1.70-2.78), P<0.001), social anxiety( B=0.024, OR(95% CI)=1.02(1.01-1.04), P<0.001), shame-proneness( B=0.049, OR(95% CI)=1.05(1.04-1.06), P<0.001), and peer victimization( B=0.037, OR(95% CI)=1.04(1.02-1.06), P<0.001) were significant predictors of smartphone addiction.(4) The ACC and AUC values of the XGBoost model were 0.890 and 0.929 in the training set, and 0.865 and 0.864 in the validation set, respectively.The multivariate Logistic regression model achieved ACC and AUC values of 0.870 and 0.854 in the training set, and 0.867 and 0.859 in the validation set, respectively. Conclusion:Anxiety, interpersonal sensitivity, learning pressure, mood swings, social anxiety, shame-proneness, and peer victimization are identified risk predictors of smartphone addiction in high school adolescents.

Objective:To evaluate the validity and reliability of the Simplified Chinese version of the Beck Cognitive Insight Scale(SC-BCIS).Methods:Totally 188 patients with schizophrenia meeting the Diagnostic and Statistical Manual of Mental Disorders,Fifth Edition(DSM-5)diagnostic criteria were selected for SC-BCIS and the Insight and Treatment Attitudes Questionnaire(ITAQ)assessment.Thirty-eight patients were selected for retest-ing within 4 weeks.The item analysis was conducted using the Spearman correlation method,and the reliability of the scale was tested with Cronbach's α coefficient and ICC coefficient.The structural validity of the scale was ex-amined through principal component analysis and exploratory factor analysis.Results:The correlation coefficients between the 15 item scores and the total score of the SC-BCIS all met the screening criteria.The Cronbach's α coef-ficient of the scale was 0.69,the test-retest ICC value was 0.82,the ICC coefficient between the SC-BCIS and ITAQ scales was 0.83,and the scale had a two-factor structure,with a cumulative contribution rate of 42.4％for the two factors.Conclusion:The Simplified Chinese version of the Beck Cognitive Insight Scale(SC-BCIS)has good validity and reliability in measuring cognitive insight in patients with schizophrenia.

Objective:To construct a updating decision model of medical equipment based on multi-criteria,so as to provide scientific guidance for decision of management departments for medical equipment.Methods:To establish an evaluation index system for updating medical equipment,and evaluate the importance of expert,and transform weight language of expert index into intuitionistic fuzzy numbers,and use the Intuitionistic Fuzzy Weighted Average(IFWA)operator to aggregate qualitative indicators,and construct an initial decision matrix by integrating quantitative data,and apply the Tomadade Decis?o Iterativa Multicritério(TODIM)method to conduct prioritization for medical equipment that was waiting update.Four B-ultrasound equipment that were waiting for update in Peking University First Hospital from January 2023 to December 2023 were selected,and they were labeled respectively as A1,A2,A3 and A4 for priority ranking to conduct update.Results:The obtained comprehensive scores of A1,A2,A3 and A4 were respectively 0.617,0,0.714 and 1.000 through intuitionistic fuzzy theory and TODIM calculations.The priority ranking for updated equipment was ε(a4)＞ε(a3)＞ε(a1)＞ε(a2),indicating that medical equipment A4 was the highest-priority equipment for update.The result was consistent with actual operation that A4 equipment had been scrapped for disposal as scheme in April,2024.Conclusion:The model of updating decision for medical equipment on the basis of the intuitionistic fuzzy TODIM,can effectively avoid the subjectivity of medical institutes in updating equipment and solve the problem of multi-criteria decision-making in updating medical equipment.

Mental state is an important part of the normal life activities of the human body, and it is also the most external expression and the most easily obtained information of the physical condition. The normal activities of the mind depend on the normal operation of the viscera, qi, and blood, and are a unified whole that prospers together and suffers together. The theory of the five-spirit-viscera in the Yellow Emperor’s Inner Classic revealed that the normal mental activities of the human body were dominated by the five internal organs, that is, the five internal organs were the body and the five spirits were the function. And it highlighted the viewpoint that the five internal organs store the spirits and are actually one. The heart governs the spirit and belongs to the four internal organs. On this basis, Synopsis of Golden Chamber used the internal organs to diagnose and treat mental diseases, integrating the theory of the five spirits into it, forming a unique method of diagnosis and treatment with the heart as the leading factor and regulating the qi and blood of the four internal organs. It identified the pathogenesis of diseases such as pathogenic crying, lily disease, and hysteria from five levels: heart deficiency and weak qi, heart-lung disharmony, heart-liver disharmony, the heart of the loss of the spleen nourishment, and disharmony between heart and kidney. The treatment was mainly to replenish the deficiency of the viscera and eliminate the pathogens, reflecting the characteristics of regulating the mind and calming the four internal organs. This unique view on diagnosis and treatment has profoundly influenced the diagnosis and treatment theories of mental illnesses by later doctors, and is of great significance to the current clinical treatment of such illnesses.

OBJECTIVE: To observe the clinical efficacy of stuck acupuncture combined with facial acupuncture for facial cosmetology. METHODS: A total of 22 female patients with symptoms of facial aging were treated with stuck acupuncture combined with facial acupuncture. Stuck acupuncture was applied at bilateral Taiyang (EX-HN5) through Xiaguan (ST7), Jiache (ST6) through Daying (ST5) and Yingxiang (LI20)，once a week. Facial acupuncture was applied at Yintang (GV24⁺), ashi points (nasolabial fold) and bilateral Yangbai (GB14), Quanliao (SI18), Sibai (ST2), Xiaguan (ST7), Dicang (ST4), Jiache (ST6), Daying (ST5), Renying (ST9), twice a week. Four weeks were required. The global aesthetic improvement scale (GAIS) score after treatment, wrinkle severity rating scale (WSRS) score before and after treatment were observed. The quantitative analysis of skin characteristics was performed before and after treatment. RESULTS: After treatment, of the 22 patients, 3 cases had complete improvement, 15 cases had obvious improvement, 4 cases had partial improvement, 0 case had no improvement. The WSRS score and scores of wrinkles, textures and pores were decreased compared with those before treatment (P<0.01). CONCLUSION Stuck acupuncture combined with facial acupuncture could effectively improve the symptoms of facial aging.
Humans ; Female ; Acupuncture Therapy ; Middle Aged ; Adult ; Face ; Acupuncture Points ; Skin Aging ; Treatment Outcome ; Aged

Based on the theory of the five-body constituents from Huangdi Neijing (Yellow Emperor's Internal Classic), the approach and methods of acupuncture for facial aging are explored. Acupuncture for facial aging can be guided by the concept of the five-body constituents, targeting the facial "skin, flesh, vessels, tendons, and bones", and utilizing five different types of needles-facial needles, needle knives, filiform needles, retaining needles, and elongated needles and filiform needles-to maximize their respective advantages in treating facial aging. Facial needles are applied to the "skin" by selecting facial acupoints or local ashi points (at wrinkle or pigmentation sites). Needle knives are used for the "flesh" to perform longitudinal dredging and transverse dissection of the facial muscle layers. Filiform needles target the "vessels" with needling at Renying (ST9) to improve facial complexion. Retaining needles act on the "tendons" with needling from Taiyang (EX-HN5) to Xiaguan (ST7), and Jiache (ST6) to Daying (ST5), using clockwise twisting to generate a retaining needle sensation and lifting to achieve an overall facial lifting effect.
Humans ; Acupuncture Therapy/methods* ; Face ; Skin Aging ; Acupuncture Points ; Aging