Objective:To identify the trajectories of dietary choline intake in middle-aged and older population, and to analyze its longitudinal association with cognitive function.Methods:Subjects aged 55 to 79 years with at least two rounds of completed population economics, lifestyle, disease history, cognitive function, dietary assessments and physical measurements in 1997-2018 and those with at least three rounds of dietary measures in 1991-2015 were selected from the China Health and Nutrition Survey. Dietary survey was conducted using three consecutive 24-hour dietary recalls combined with a weighing inventory at the household level. Cognitive assessment was performed using part of the Telephone Interview for Cognitive Status Scale. Group-based univariate trajectory modeling was used to identify trajectory of choline intake, and three-level linear mixed-effects models or three-level logistic mixed-effects models was employed to analyze the relationship between trajectory groups and cognitive function. Subgroup analyses were conducted by gender and age at baseline.Results:Four trajectories of dietary choline intake were identified in the whole population, named as low-intake-stable group (61.0%), medium-intake-stable group (23.9%), medium-intake-slowly-declined group (11.2%), and high-intake-stable group (3.9%). Three trajectories were identified for each subgroup. Low-intake-stable group accounted for more than 60% in total population as well as each subgroup, especially in women and 55-59 years group. After adjusting for covariates, global cognitive scores were 0.54 (95% CI: 0.26-0.82), 0.77 (95% CI: 0.36-1.18), and 0.85 (95% CI: 0.21-1.48) points higher in medium-intake-stable, medium-intake- slowly-declined and high-intake-stable groups in the whole population, respectively, compared with the low-intake-stable group. The likelihoods of cognitive decline were 18.4% ( OR=0.816,95% CI: 0.709-0.939), 17.6% ( OR=0.824, 95% CI: 0.680-0.998), 24.4% ( OR=0.756, 95% CI: 0.589-0.970) and 22.4% ( OR=0.776,95% CI: 0.623-0.968) lower in medium-intake-stable group of dietary choline in the whole population, medium-intake-stable group in males, medium-intake-slightly-increased group in females and medium-intake-slowly-increased group in 55-59 years at baseline than in low-intake-stable group, respectively. Conclusions:Dietary choline intake is generally lower in the Chinese population aged 55-79 years. Long-term lower choline intake has a negative impact on cognitive function in middle-aged and older adults and may increase the risk of cognitive decline. The increment in the consumption of choline-enriched foods should be recommended.

China is facing the double burden of high incidence of lung cancer and tuberculosis epidemic. Lung cancer combined with tuberculosis has a high incidence and complexity in clinical practice. High-risk groups include immunocompromised people, long-term smokers and people with a history of tuberculosis. The coexistence of the two diseases not only increases the difficulty of diagnosis and treatment decision-making, but also increases the risk of treatment-related adverse reactions and drug interactions. The guideline was developed by Committee of Integrated Rehabilitation for Lung Cancer, Chinese Anti-Cancer Association; Chinese and Western Integrated Lung Cancer Committee of Chinese Anti-Cancer Association; Society of Tuberculosis, Chinese Medical Association, aiming to standardize the diagnosis and treatment of lung cancer complicated with pulmonary tuberculosis. The guideline emphasizes the core position of combined diagnosis of multimodal imaging, etiology and pathology. It is proposed that anti-tuberculosis and anti-tumor treatment should be coordinated under the framework of multidisciplinary team, and drug interactions and timing optimization should be paid attention to. For surgical treatment, minimally invasive resection combined with systematic lymph node dissection is recommended after infection control. Systemic therapy requires individualized risk stratification and dynamic monitoring of efficacy and adverse reactions. Based on evidence-based medicine and Chinese clinical practice, combined with the accessibility of drugs and technologies, this guideline proposes a whole-process management pathway covering screening, diagnosis, treatment and follow-up, in order to improve the prognosis and quality of life of patients.

Objective:To identify the trajectories of dietary choline intake in middle-aged and older population, and to analyze its longitudinal association with cognitive function.Methods:Subjects aged 55 to 79 years with at least two rounds of completed population economics, lifestyle, disease history, cognitive function, dietary assessments and physical measurements in 1997-2018 and those with at least three rounds of dietary measures in 1991-2015 were selected from the China Health and Nutrition Survey. Dietary survey was conducted using three consecutive 24-hour dietary recalls combined with a weighing inventory at the household level. Cognitive assessment was performed using part of the Telephone Interview for Cognitive Status Scale. Group-based univariate trajectory modeling was used to identify trajectory of choline intake, and three-level linear mixed-effects models or three-level logistic mixed-effects models was employed to analyze the relationship between trajectory groups and cognitive function. Subgroup analyses were conducted by gender and age at baseline.Results:Four trajectories of dietary choline intake were identified in the whole population, named as low-intake-stable group (61.0%), medium-intake-stable group (23.9%), medium-intake-slowly-declined group (11.2%), and high-intake-stable group (3.9%). Three trajectories were identified for each subgroup. Low-intake-stable group accounted for more than 60% in total population as well as each subgroup, especially in women and 55-59 years group. After adjusting for covariates, global cognitive scores were 0.54 (95% CI: 0.26-0.82), 0.77 (95% CI: 0.36-1.18), and 0.85 (95% CI: 0.21-1.48) points higher in medium-intake-stable, medium-intake- slowly-declined and high-intake-stable groups in the whole population, respectively, compared with the low-intake-stable group. The likelihoods of cognitive decline were 18.4% ( OR=0.816,95% CI: 0.709-0.939), 17.6% ( OR=0.824, 95% CI: 0.680-0.998), 24.4% ( OR=0.756, 95% CI: 0.589-0.970) and 22.4% ( OR=0.776,95% CI: 0.623-0.968) lower in medium-intake-stable group of dietary choline in the whole population, medium-intake-stable group in males, medium-intake-slightly-increased group in females and medium-intake-slowly-increased group in 55-59 years at baseline than in low-intake-stable group, respectively. Conclusions:Dietary choline intake is generally lower in the Chinese population aged 55-79 years. Long-term lower choline intake has a negative impact on cognitive function in middle-aged and older adults and may increase the risk of cognitive decline. The increment in the consumption of choline-enriched foods should be recommended.

Background The decline of physical activity in the elderly due to aging may increase the risk of sarcopenia. Currently, there is a lack of evidence from large natural populations on the relationship between PA and sarcopenia. Objective To explore the relationship between PA and sarcopenia in the elderly aged 60 years and above in 10 provinces (autonomous regions) of China. Methods Data were retrieved from the 2022—2023 round of the China Development and Nutrition Health Impact Cohort. Personal basic information and PA data were collected by questionnaire survey. Skeletal muscle mass was measured by bio-electrical impedance analysis, muscle strength was measured using a grip dynamometer, and physical performance was reflected by 6-meter walk speed. The Asian Working Group for Sarcopenia (AWGS) 2019 criteria were used to diagnose sarcopenia. Light physical activity (LPA) duration, moderate-to-vigorous physical activity (MVPA) duration, and total physical activity volume were calculated. A total of 3326 residents aged ≥60 years with complete data were selected as the survey participants. Multiple logistic regression models and restricted cubic splines (RCS) were used to assess the association between PA duration/volume and sarcopenia. Results In 10 provinces (autonomous regions) of China, the prevalence of sarcopenia in the elderly aged 60 years and above was 5.5% (95%CI: 4.7%, 6.2%). The logistic regression analysis showed that compared with the elderly reporting 0-7.0 h·week⁻¹ in LPA duration, the risk of sarcopenia in the elderly with LPA duration of >14.0-21.0 h·week⁻¹ was reduced by 51% (OR=0.49, 95%CI: 0.26, 0.96). Compared with the elderly with total physical activity ≥15.0 metabolic equivalent of task (MET)-h·week⁻¹, those with <7.5 MET-h·week⁻¹ had a 2.24-fold increased risk of sarcopenia (OR=2.24, 95%CI: 1.17, 4.29). The RCS results found that LPA duration and total physical activity volume each showed a nonlinear dose-response relationship with the risk of sarcopenia (P_overall<0.05, P_non-linear<0.05). Compared with the elderly with an LPA duration of 0 h· week⁻¹, the risk of sarcopenia in the elderly with an LPA duration of 12.6 h· week⁻¹ was the lowest (OR=0.42, 95%CI: 0.21, 0.83). Compared with the elderly with a total physical activity volume of 15.0 MET-h· week⁻¹, the elderly with a total physical activity volume of 46.0 MET-h· week⁻¹ had the lowest risk of sarcopenia (OR=0.57, 95%CI: 0.38, 0.84). There was no statistically significant association between weekly MVPA duration and the risk of sarcopenia (P>0.05). Conclusion Increasing weekly LPA duration and total physical activity volume would help to reduce the risk of sarcopenia.

Objective To study the changes in serum autophagy markers in children with retinopathy of prematurity(ROP)and its clinical value.Methods Premature infants who were screened for ROP in our hospital from January 2020 to December 2022 were selected as the study subjects.Those screened out with ROP at 4-6 weeks of birth were assigned to the ROP group and those without ROP to the control group.The levels of serum autophagy markers LC3-Ⅱ,Beclin-1 and P62 were detected at the 3rd day,1st,2nd and 3rd weeks of birth.The two groups were compared in terms of serum autophagy markers.The diagnostic efficacy of serum autophagy markers on ROP was analyzed.Results There was no significant difference in serum LC3-Ⅱ,Beclin-1 and P62 levels between the ROP group and control group at the 3rd day of birth(P>0.05).At the first,second and third weeks of birth,how-ever,the ROP group showed significantly lower levels of serum LC3-Ⅱ and Beclin-1 but higher level of P62 com-pared to the control group(both P<0.05).The levels of serum LC3-Ⅱ,Beclin-1 and P62 at the first,second and third weeks of birth had diagnostic value for ROP.The children in the ROP group who did not receive mechanical ventilation and oxygen inhalation,and did not develop with sepsis and bronchopulmonary dysplasia showed lower serum LC3-Ⅱ and Beclin-1 levels and higher P62 levels at the first,second and third weeks of birth compared to those without the above-mentioned treatment as well as those complications(all P<0.05).In the ROP group,those with severe ROP showed lower serum LC3-Ⅱ and Beclin-1 levels and higher P62 levels at the 3rd day,and 1st,2nd and 3rd week of birth(all P<0.05).Conclusion The levels of serum autophagy markers in children with ROP show significant changes since the first week of birth,so they have diagnostic efficacy for the diseases.

Dementia is a neurodegenerative disease closely related to brain network dysfunction. In this study, we assessed the interdependence between brain regions in patients with early-stage dementia based on phase-lock values, and constructed a functional brain network, selecting network feature parameters for metrics based on complex network analysis methods. At the same time, the entropy information characterizing the EEG signals in time domain, frequency domain and time-frequency domain, as well as the nonlinear dynamics features such as Hjorth and Hurst indexes were extracted, respectively. Based on the statistical analysis, the feature parameters with significant differences between different conditions were screened to construct feature vectors, and finally multiple machine learning algorithms were used to realize the recognition of early categories of dementia patients. The results showed that the fusion of multiple features performed well in the categorization of Alzheimer's disease, frontotemporal lobe dementia and healthy controls, especially in the identification of Alzheimer's disease and healthy controls, the accuracy of β-band reached 98%, which showed its effectiveness. This study provides new ideas for the early diagnosis of dementia and computer-assisted diagnostic methods.
Humans ; Electroencephalography/methods* ; Alzheimer Disease/physiopathology* ; Dementia/physiopathology* ; Early Diagnosis ; Algorithms ; Brain/physiopathology* ; Machine Learning ; Frontotemporal Dementia/physiopathology* ; Diagnosis, Computer-Assisted

Background Changes in cognitive function exist before the onset of clinical Parkinson's disease. However, studies on association between cognitive function and prodromal Parkinson's disease (pPD) are limited. Objective To estimate probability of pPD and assess its association with global and domain cognitive function in Chinese elders. Methods Data were drawn from the Community-based Cohort Study on Nervous System Disease 2018 (baseline) and 2020 (follow-up). We selected 3911 residents aged 55 and above who participated the two waves, without Alzheimer's disease and Parkinson's disease, and with completed information on demographics, disease history, cognitive function test, and risk factors of Parkinson's disease. Cognitive function was assessed using the Chinese version of Montreal Cognitive Assessment Scale. Calculation of probability of pPD and assessment of possible (probability between 30% and <80%) or probable (probability ≥80%) pPD were performed according to the criteria published by the International Parkinson and Movement Disorder Society. Multiple linear regression model was employed to analyze the association between baseline cognitive function and follow-up probability of pPD. Results The medians of scores of baseline global cognitive function and cognitive domains in terms of memory, execution, visuospatial function, language, attention, and orientation were 23, 12, 9, 6, 5, 14, and 6, respectively. The median of follow-up probability of pPD was 0.87%, and the proportion of participants with possible or probable pPD was 0.4%. The differences in the distribution of follow-up probability of pPD were significant in groups by baseline global cognitive score quartiles (χ²=21.68, P<0.001). A higher baseline global cognitive score was considerably related to a lower follow-up probability of pPD, b(95%CI)=0.994(0.988~0.999), P=0.040. After adjusting for selected confounders, the results of multiple linear regression analyses showed that the probability of pPD in the highest quartile group was decreased by 10.7% (b=0.893, 95%CI: 0.794-0.992, P=0.034) relative to the lowest quartile group, and the trend was significant (trend P=0.031). Higher baseline index scores of execution, attention, and orientation were highly related to a lower follow-up probability of pPD (all P<0.05). Conclusion Declines in global cognitive function and cognitive domains of execution, attention, and orientation may associate with a higher probability of pPD in middle-aged and elderly population, which suggests the significance of cognitive intervention in early stage for pPD prevention.

Objective: To analyze physical fitness of students aged 6-22 years old from seven ethnic groups in Yunnan Province, and to provide reference for physical fitness intervention measures. Methods: The nationality, gender, grade, body shape, vital capacity, exercise quality of students were derived from the 2019 Yunnan Student Physical Health Survey Database. Comprehensive physical fitness score was calculated according to the National Student Physical Fitness Standards(revised in 2014). t test, ANOVA, and χ 2 test were used to analyze physical fitness score and level among students with different ethnic groups, gender, and school stages. Results: The average comprehensive score of physical fitness among students from 7 ethnic groups in Yunnan Province was (70.02±9.69）, with the pass rate being 88.91%. The proportion of excellent was 0.93%, good was 17.90%, pass 70.09 %, and failed was 11.09%. Physical fitness score was highest in BMI (94.99 points), followed by 50 meter running (74.13 points), sitting forward bend (72.63 points), endurance running (70.43 points), standing long jump (67.77 points), sit ups ( 65.71 points) , 1 minute skipping rope (65.25 points), vital capacity (62.97 points), pull up (29.04 points). Physical fitness score and pass rate and evaluation level varied significantly by ethnicity and school stage( F =293.53，452.85， χ 2/ χ 2 trend =466.65， 412.57 ； 1 553.22 ，1 045.36， P <0.01). Conclusion The excellent rate of physical fitness among students in Yunnan Province is relatively low. Physical fitness promotion requires specific guidance and training based on ethnicity and school stage.

The causes of mental disorders are complex, and early recognition and early intervention are recognized as effective way to avoid irreversible brain damage over time. The existing computer-aided recognition methods mostly focus on multimodal data fusion, ignoring the asynchronous acquisition problem of multimodal data. For this reason, this paper proposes a framework of mental disorder recognition based on visibility graph (VG) to solve the problem of asynchronous data acquisition. First, time series electroencephalograms (EEG) data are mapped to spatial visibility graph. Then, an improved auto regressive model is used to accurately calculate the temporal EEG data features, and reasonably select the spatial metric features by analyzing the spatiotemporal mapping relationship. Finally, on the basis of spatiotemporal information complementarity, different contribution coefficients are assigned to each spatiotemporal feature and to explore the maximum potential of feature so as to make decisions. The results of controlled experiments show that the method in this paper can effectively improve the recognition accuracy of mental disorders. Taking Alzheimer's disease and depression as examples, the highest recognition rates are 93.73% and 90.35%, respectively. In summary, the results of this paper provide an effective computer-aided tool for rapid clinical diagnosis of mental disorders.
Humans ; Mental Disorders/diagnosis* ; Alzheimer Disease/diagnosis* ; Brain Injuries ; Electroencephalography ; Recognition, Psychology

Major natural disasters seriously threaten human life and health. After earthquakes and other catastrophes, survivors are often trapped in the confined spaces caused by the collapse of ground and buildings, with relative separation from the outside world, restricted access, complex environment, and oncoming or ongoing unsafety, leading to the rescue extremely difficult. In order to save lives and improve the outcome more efficiently in the confined spaces after natural disasters, it is very important to standardize and reasonably apply the trauma assessment and first aid workflow. This study focuses on trauma assessment and first aid. From the aspects of trauma assessment, vital signs stabilization, hemostasis and bandaging, post-trauma anti-infection, and the transportation of patients, a trauma first aid work process suitable for a small space of a major natural disaster is formed, It is helpful to realize the immediate and efficient treatment of trauma in the confined spaces after natural catastrophes, to reduce the rate of death and disability and improve the outcome of patients.
Humans ; Disasters ; First Aid ; Confined Spaces ; Earthquakes