Objectives:To analyze factors associated with physical fitness and health in children and adolescents from the perspective of cohort and urban-rural differences in order to provide evidence for optimizing health intervention policies.Methods:Using data from the China Family Panel Studies(CFPS)from 2012 to 2020,this study examined trends in the health of children and adolescents in terms of height and weight.A hierarchical mixed-effects model was used to examine the impact of socioeconomic factors such as household income,health insurance and regional public health expenditure on physical fitness and health.Interaction models were also used to assess heterogeneous effects across birth cohorts and urban-rural contexts.Results:The physical fitness and health of children and adolescents in China have improved significantly,but urban-rural disparities persist.Household income,parental education and health insurance have protective effects on health,but the strength of these effects varies by cohort and between urban and rural areas.Height and weight outcomes for rural children were more closely associated with economic development and health insurance coverage.Conclusions:The factors associated with physical fitness and health in children and adolescents are dynamic.It is necessary to establish a tiered and targeted health promotion system,strengthening health insurance coverage and interventions in rural areas,while prioritizing family-based healthy lifestyle counselling in urban areas.

Sleep is an instinctive behavior alternating awakening state, sleep entails many active processes occurring at the cellular, circuit and organismal levels. The function of sleep is to restore cellular energy, enhance immunity, promote growth and development, consolidate learning and memory to ensure normal life activities. However, with the increasing of social pressure involved in work and life, the incidence of sleep disorders (SD) is increasing year by year. In the short term, sleep disorders lead to impaired memory and attention; in the longer term, it produces neurological dysfunction or even death. There are many ways to directly or indirectly contribute to sleep disorder and keep the hormones, including pharmacological alternative treatments, light therapy and stimulus control therapy. Exercise is also an effective and healthy therapeutic strategy for improving sleep. The intensities, time periods, and different types of exercise have different health benefits for sleep, which can be found through indicators such as sleep quality, sleep efficiency and total sleep time. So it is more and more important to analyze the mechanism and find effective regulation targets during sleep disorder through exercise. Dopamine (DA) is an important neurotransmitter in the nervous system, which not only participates in action initiation, movement regulation and emotion regulation, but also plays a key role in the steady-state remodeling of sleep-awakening state transition. Appreciable evidence shows that sleep disorder on humans and rodents evokes anomalies in the dopaminergic signaling, which are also implicated in the development of psychiatric illnesses such as schizophrenia or substance abuse. Experiments have shown that DA in different neural pathways plays different regulatory roles in sleep behavior, we found that increasing evidence from rodent studies revealed a role for ventral tegmental area DA neurons in regulating sleep-wake patterns. DA signal transduction and neurotransmitter release patterns have complex interactions with behavioral regulation. In addition, experiments have shown that exercise causes changes in DA homeostasis in the brain, which may regulate sleep through different mechanisms, including cAMP response element binding protein signal transduction, changes in the circadian rhythm of biological clock genes, and interactions with endogenous substances such as adenosine, which affect neuronal structure and play a neuroprotective role. This review aims to introduce the regulatory effects of exercise on sleep disorder, especially the regulatory mechanism of DA in this process. The analysis of intracerebral DA signals also requires support from neurophysiological and chemical techniques. Our laboratory has established and developed an in vivo brain neurochemical analysis platform, which provides support for future research on the regulation of sleep-wake cycles by movement. We hope it can provide theoretical reference for the formulation of exercise prescription for clinical sleep disorder and give some advice to the combined intervention of drugs and exercise.

Objectives:To analyze factors associated with physical fitness and health in children and adolescents from the perspective of cohort and urban-rural differences in order to provide evidence for optimizing health intervention policies.Methods:Using data from the China Family Panel Studies(CFPS)from 2012 to 2020,this study examined trends in the health of children and adolescents in terms of height and weight.A hierarchical mixed-effects model was used to examine the impact of socioeconomic factors such as household income,health insurance and regional public health expenditure on physical fitness and health.Interaction models were also used to assess heterogeneous effects across birth cohorts and urban-rural contexts.Results:The physical fitness and health of children and adolescents in China have improved significantly,but urban-rural disparities persist.Household income,parental education and health insurance have protective effects on health,but the strength of these effects varies by cohort and between urban and rural areas.Height and weight outcomes for rural children were more closely associated with economic development and health insurance coverage.Conclusions:The factors associated with physical fitness and health in children and adolescents are dynamic.It is necessary to establish a tiered and targeted health promotion system,strengthening health insurance coverage and interventions in rural areas,while prioritizing family-based healthy lifestyle counselling in urban areas.

Objective:To analyze factors associated with health care burden in older adults with chronic conditions based on typical multimorbidity patterns,in order to provide references for optimizing health management policies. Methods:Using data from the China Health and Retirement Longitudinal Study 2020,we counted the basic profiles of older adults aged 60 and over,identified typical multimorbidity patterns using latent category analysis,and then analyzed the factors associated with health care burden in different multimorbidity subgroups using regression models. Results:A total of 8310 participants were included,with an average of 2.81 chronic conditions and a high multimorbidity rate of 69.60％. Participants were categorized into multisystem morbidity,respiratory,cardiovascular-metabolic,gastro-arthritis and low multimorbidity groups. Compared to the low multimorbidity group,all other multimorbidity patterns were associated with medical burden. Factors such as age,gender,income,health insurance and geographical location were all associated with health care burden in older adults,but the effect varied according to multimorbidity patterns. Conclusions:Future health policies should focus more on the issue of multimorbidity and allocate resources according to some common and burdensome multimorbidity patterns among the older population.

Objective:To analyze factors associated with health care burden in older adults with chronic conditions based on typical multimorbidity patterns,in order to provide references for optimizing health management policies. Methods:Using data from the China Health and Retirement Longitudinal Study 2020,we counted the basic profiles of older adults aged 60 and over,identified typical multimorbidity patterns using latent category analysis,and then analyzed the factors associated with health care burden in different multimorbidity subgroups using regression models. Results:A total of 8310 participants were included,with an average of 2.81 chronic conditions and a high multimorbidity rate of 69.60％. Participants were categorized into multisystem morbidity,respiratory,cardiovascular-metabolic,gastro-arthritis and low multimorbidity groups. Compared to the low multimorbidity group,all other multimorbidity patterns were associated with medical burden. Factors such as age,gender,income,health insurance and geographical location were all associated with health care burden in older adults,but the effect varied according to multimorbidity patterns. Conclusions:Future health policies should focus more on the issue of multimorbidity and allocate resources according to some common and burdensome multimorbidity patterns among the older population.

Arrhythmia is an external manifestation of cardiac electrophysiological disorder. It exists in healthy people and patients with various heart diseases, which is often associated with other cardiovascular diseases. The contraction and diastole of myocardium are inseparable from the movement of ions. There are many ion channels in the membrane and organelle membrane of myocardium. The dynamic balance of myocardial ions is vital in maintaining myocardial electrical homeostasis. Potassium ion channels that have a complex variety and a wide distribution are involved in the whole process of resting potential and action potential of cardiomyocytes. Potassium ion channels play a vital role in maintaining normal electrophysiological activity of myocardium and is one of the pathogenesis of arrhythmia. Traditional Chinese medicine(TCM)has unique advantages in treating arrhythmia for its complex active components and diverse targets. A large number of TCM preparations have definite effect on treating arrhythmia-related diseases, whose antiarrhythmic mechanism may be related to the effect on potassium channel. This article mainly reviewed the relevant studies on the active components in TCM acting on different potassium channels to provide references for clinical drug use and development.
Humans ; Potassium Channels ; Medicine, Chinese Traditional ; Anti-Arrhythmia Agents/therapeutic use* ; Arrhythmias, Cardiac/drug therapy* ; Heart Diseases/drug therapy* ; Ions

In this study, CM-5 spectrophotometer and Heracles NEO ultra-fast gas-phase electronic nose were used to analyze the changes in color and odor of vinegar-processed Cyperi Rhizoma(VPCR) pieces. Various analysis methods such as DFA and partial least squares discriminant analysis(PLS-DA) were combined to identify different processing degrees and quantify the end point of processing. The results showed that with the increase in vinegar processing, the brightness parameter L~* of VPCR pieces decreased gradua-lly, while the red-green value a~* and yellow-blue value b~* initially increased and reached their maximum at 8 min of processing, followed by a gradual decrease. A discriminant model based on the color parameters L~*, a~*, and b~* was established(with a discrimination accuracy of 98.5%), which effectively differentiated different degrees of VPCR pieces. Using the electronic nose, 26 odor components were identified from VPCR samples at different degrees of vinegar processing. DFA and PLS-DA models were established for different degrees of VPCR pieces. The results showed that the 8-min processed samples were significantly distinct from other samples. Based on variable importance in projection(VIP) value greater than 1, 10 odor components, including 3-methylfuran, 2-methylbuty-raldehyde, 2-methylpropionic acid, furfural, and α-pinene, were selected as odor markers for differentiating the degrees of vinegar processing in VPCR. By combining the changes in color and the characteristic odor components, the optimal processing time for VPCR was determined to be 8 min. This study provided a scientific basis for the standardization of vinegar processing techniques for VPCR and the improvement of its quality standards and also offered new methods and ideas for the rapid identification and quality control of the end point of processing for other traditional Chinese medicine.
Acetic Acid ; Drugs, Chinese Herbal/analysis* ; Rhizome/chemistry* ; Quality Control ; Electronics

Objective: Several COVID-19 patients have overlapping comorbidities. The independent role of each component contributing to the risk of COVID-19 is unknown, and how some non-cardiometabolic comorbidities affect the risk of COVID-19 remains unclear. Methods: A retrospective follow-up design was adopted. A total of 1,160 laboratory-confirmed patients were enrolled from nine provinces in China. Data on comorbidities were obtained from the patients' medical records. Multivariable logistic regression models were used to estimate the odds ratio ( Results: Overall, 158 (13.6%) patients were diagnosed with severe illness and 32 (2.7%) had unfavorable outcomes. Hypertension (2.87, 1.30-6.32), type 2 diabetes (T2DM) (3.57, 2.32-5.49), cardiovascular disease (CVD) (3.78, 1.81-7.89), fatty liver disease (7.53, 1.96-28.96), hyperlipidemia (2.15, 1.26-3.67), other lung diseases (6.00, 3.01-11.96), and electrolyte imbalance (10.40, 3.00-26.10) were independently linked to increased odds of being severely ill. T2DM (6.07, 2.89-12.75), CVD (8.47, 6.03-11.89), and electrolyte imbalance (19.44, 11.47-32.96) were also strong predictors of unfavorable outcomes. Women with comorbidities were more likely to have severe disease on admission (5.46, 3.25-9.19), while men with comorbidities were more likely to have unfavorable treatment outcomes (6.58, 1.46-29.64) within two weeks. Conclusion Besides hypertension, diabetes, and CVD, fatty liver disease, hyperlipidemia, other lung diseases, and electrolyte imbalance were independent risk factors for COVID-19 severity and poor treatment outcome. Women with comorbidities were more likely to have severe disease, while men with comorbidities were more likely to have unfavorable treatment outcomes.
Adult ; Aged ; COVID-19/virology* ; China/epidemiology* ; Comorbidity ; Female ; Humans ; Male ; Middle Aged ; Retrospective Studies ; Severity of Illness Index ; Treatment Outcome

OBJECTIVETo assess the characteristics and daily treatment compliance of non-alcoholic fatty liver disease (NAFLD) patients in China.

METHODSNAFLD adult patients from 21 clinics of 12 cities in China were enrolled in this registry. Physical examination such as demographic characteristics (height, weight, waist circumference measurement), blood pressure and clinical laboratory and ultrasonographic examination of liver were undertaken. Daily practice including life style and medication were recorded and assessed in accordance with 2006 Chinese NAFLD treatment guidelines.

RESULTSA total of 1656 patients were enrolled (1146 male and 510 female), mean of 45.8 ± 12.6 years old, mean duration of NAFLD history was (47.2 ± 47.7) months. 44.9% of NAFLD were suffering from metabolic syndromes. Patients with central obesity have higher incidence of hypertension and lower level of high-density lipoprotein cholesterol (HDL-C) than those without central obesity, P < 0.05. Body mass index (BMI), waist circumference, triglyceride (TG) and low-density lipoprotein cholesterol (LDL-C) in ALT abnormal group were higher than those in ALT normal group (P < 0.05), HDL-C was lower in ALT abnormal group (P < 0.05). Significant differences existed between the BMI, female waist circumference, TG, fast insulin, HOMA index, ALT, AST and HDL-C among subgroups with mild, moderate and severe steatosis. Majority of the patients did not follow recommendations of NAFLD treatment guidelines. Among targeted population only 15.3% of patients used insulin sensitizers and 23.8% took lipid lowering medicine according to the guideline.

CONCLUSIONData indicated that nearly half of NAFLD patients co-morbid with metabolic disorders. Therapy compliance was unsatisfactory and the gap between current practice and Chinese NAFLD treatment guidelines was not optimal.

Adult ; Asian Continental Ancestry Group ; China ; epidemiology ; Fatty Liver ; diagnosis ; epidemiology ; therapy ; Female ; Humans ; Male ; Metabolic Syndrome ; epidemiology ; Middle Aged ; Non-alcoholic Fatty Liver Disease ; Risk Factors ; Waist Circumference