Behavior and lifestyle interventions (BLIs) can reduce blood glucose and blood pressure, regulate blood lipids, control obesity, reduce cardiovas cular events and are a first-line treatment for chronic diseases such as diabetes mellitus. BLIs include helping patients maintain a healthy diet, adhere to physical exercise, maintain a normal weight, ensure good sleep, avoid smoking and alcohol abuse, make good psychological adjustments, establish good social support, as well as scientific self-monitoring of blood glucose and adherence to drug therapy. Except for the severe hyperglycemia and acute complications requiring medication, patients with newly diagnosed diabetes mellitus should first undergo BLIs. BLIs should follow the principles of effectiveness-centered, mutual trust establishment, problem-solving orientation, integration, and individulization. Common strategies for BLIs include applying behavior change theories, utilizing behavior change technologies, effectively emlpoying communication strategies, improving patient behavior skills, and implementing patient-centered self-management education and support (DSMES). The steps of BLIs include evaluating behavior, lifestyle and their influencing factors, setting behavioral goals, developing intervention plans, and conducting interventions and effectiveness evaluation. The evaluation measures for the effectiveness of BLIs include process indicators, clinical outcomes, socio-psychological and behavioral outcomes, patient reports, and health outcomes. Evaluation can be performed using a combination of qualitative and quantitative methods. Common evaluation tools include the SDSCA, PAM, and DMSES.

The primary healthcare system is key to achieving a health equity. In China, great obstacles are challenged by imbalanced medical resources, shortage of primary healthcare providers, and the prevention and treatment of chronic diseases. Artificial intelligence large language models have demonstrated strong advantages in the medical system. This article deeply explored the application of large language models in the primary healthcare system and the challenges. The large language models are expected to assist the diagnosis and treatment of common diseases in grassroot medical institutions, promote intelligent health education and chronic disease management, underpin primary health services in the undeveloped and remote areas, stimulate the leapfrog development of general medicine, and accelerate the industrialization of large language models in general diagnosis and treatment and primary health services, thus providing important support for the construction of healthy China.

The rapid development of new technologies such as artificial intelligence and large language models has brought new transformations to clinical medical practice. Both domestically and internationally, research and practical exploration of intelligent general practitioners have begun, but a consensus has yet to be formed. Against this backdrop, experts and scholars from Tsinghua University Vanke School of Public Health, Peking University School of Public Health, Chinese Association of General Practitioners of Chinese Medical Doctor Association and several other domestic institutions collaboratively developed a consensus. The background of these experts spans multiple disciplines, including general medicine, public health, artificial intelligence, and evidence-based medicine. Based on extensive literature review both domestically and internationally and through multiple rounds of expert discussions, the Chinese Expert Consensus on Artificial Intelligent General Practitioner (AIGP) was finally formulated. It includes 17 core consensus concerning the definition, characteristics, applications, challenges and recommendations of AIGP. This consensus aims to provide scientific references to promote the empowerment of general practitioners with intelligent technology and enhance the smart service level of primary healthcare.

Post-stroke patients are often left with different degrees of functional impairment, and in the process of returning from the medical institution to the community and home, it is necessary for medical institutions at all levels to cooperate and interact, so as to form a good full-cycle rehabilitation closed loop. At present, the application of full-cycle stroke rehabilitation is progressing, but some resistance still exists. This articel is based on the concept of full-cycle rehabilitation for stroke, combined with the current situation of the development of community-based rehabilitation, we also think about the development of the full-cycle rehabilitation and community-based rehabilitation link for stroke. The article emphasizes the importance of "community-based inflection-point rehabilitation" and the need to establish standards of community-based rehabilitation. Moreover, the article also mentions the need to emphasize the full-cycle stage of rehabilitation for stroke patients, explore the development strategy of community-based rehabilitation, and effectively improve the quality of life in community and family.

The high incidence of chronic diseases is associated with the inadequate knowledge of health and disease risks. At the national level, traditional health education remains popular in community health services. The health education conducted by primary healthcare providers are often limited, and lacks specificity in the content. Additionally, community residents generally show a low enthusiasm for participating in health education. The quality and effectiveness of health education for chronic disease patients need an improvement.

To explore the effectiveness of individualized health education interventions generated through the application of an information-based knowledge base model on middle-aged and elderly patients with chronic diseases in the community. The findings are expected to provide insights to further enhance the management of community-based chronic diseases.

In 2021, a total of 7 390 patients at the age of 50-70 years with the chronic diseases of hypertension, diabetes, coronary heart disease, and stroke in Beijing Dongcheng District Community Health Service Center were selected as study subjects. A one-year cluster randomized controlled trial was conducted. Patients in both groups received routine follow-up management strategies for chronic diseases, with the preservation of the existing basic public health services for chronic diseases. Those in the intervention group were additionally given individualized health education programs generated through an information-based knowledge base model, including health education prescriptions and individualized health management. Follow-up visits and interventions were conducted every three months, for a total of 12 months. An end-point survey was conducted one year after recruitment. The primary outcome measures were the differences between the baseline and end-point results of the knowledge awareness of chronic diseases, self-management attitudes, self-efficacy, medication adherence, and acceptance of health information technology.

A total of 7 390 patients with the four types of chronic diseases were included in the study, involving 3 673 patients in the intervention group and 3 717 in the control group. There were no significant differences in the age distribution, gender, education level, and employment status between groups (P>0.05). However, there was a significant difference in the type of medical insurance coverage between groups (P<0.05). After the intervention, patients in the intervention group demonstrated significantly higher correct awareness rates of overall disease knowledge, basic knowledge of chronic diseases, diabetes knowledge, coronary heart disease knowledge, and stroke knowledge compared to pre-intervention levels (P<0.05), while that of hypertension knowledge was not statistically significant (P>0.05). In the control group, there were no significant changes in the correct awareness rates of overall disease knowledge, basic knowledge of chronic diseases, hypertension knowledge, diabetes knowledge, or coronary heart disease knowledge before and after the intervention (P>0.05). However, the correct awareness rate of stroke knowledge in the control group was significantly lower after the intervention compared to pre-intervention levels (P<0.05). The scores of the self-management attitude questionnaire, self-efficacy questionnaire, medication adherence questionnaire, and health information acceptance questionnaire in the intervention group were significantly higher than those of the control group after the intervention (P<0.05). Additionally, in the intervention group, the scores on the self-management attitude questionnaire, self-efficacy questionnaire, medication adherence questionnaire, and health information acceptance questionnaire after the intervention were significantly higher compared to pre-intervention levels (P<0.05). In the control group, the scores of the self-efficacy questionnaire and medication adherence questionnaire improved significantly after the intervention compared to pre-intervention levels (P<0.05), while no significant changes in the scores of the self-management attitude questionnaire and health information acceptance questionnaire were detected (P>0.05) .

Knowledge awareness of chronic diseases, self-management attitude, and health information acceptance are more significantly improved in the intervention group than the control group. Both groups showed improvements in self-efficacy and medication adherence following the intervention, especially in the intervention group. Overall, an individualized health education based on an information-based knowledge base model is beneficial for enhancing the health literacy of patients with chronic diseases.

With the aging of the population, chronic diseases have become a significant public health challenge. Enhancing health literacy among individuals with chronic diseases can foster a proactive approach to health management, leading to improved health outcomes.

This study aims to examine the current status of health literacy and its influencing factors among patients with chronic diseases in Shanghai, with the goal of providing theoretical support for future health promotion strategies and chronic disease management programs.

From February to May 2023, a multi-stage stratified random sampling method was employed. Based on the resident population size and the number of community health service centers in each administrative district of Shanghai, 1 to 4 community health service centers were randomly selected from 16 districts, totaling 28 centers. A questionnaire survey was administered to chronic disease patients visiting these centers. A general information questionnaire was used to collect demographic and clinical data, and a health literacy scale was applied to assess the health literacy levels of the respondents.

Of the 768 chronic disease patients surveyed, 13 questionnaires with incomplete data were excluded, resulting in a final sample of 755 patients, with an effective response rate of 98.3%. Among the respondents, 435 (57.62%) exhibited good health literacy. In terms of specific dimensions, 664 patients (87.95%) demonstrated the ability to obtain information, 618 (81.85%) expressed willingness to provide economic support, 559 (74.04%) showed communication and interaction skills, and 646 (85.56%) were willing to improve their health. Binary logistic regression analysis revealed that female gender (OR=1.549, 95%CI=1.148-2.091) and family doctor contracting (OR=1.634, 95%CI=1.162-2.299) were significant influencing factors for health literacy among chronic disease patients (P<0.05). Furthermore, the proportion of patients with stable disease control in the past year was significantly higher among those with adequate health literacy compared to those without (P<0.05) .

The overall health literacy of chronic disease patients in Shanghai requires improvement. Gender and contracting with a family doctor are key factors influencing health literacy levels. Targeted interventions are recommended to expand the coverage and enhance the quality of family doctor services, thereby improving health literacy. These findings provide valuable insights for promoting proactive health management in chronic disease care.

The comprehensive management of heart failure in conjunction with frailty necessitates a multidimensional approach to frailty assessment. However, the social frailty, despite being an incremental predictor of negative health outcomes in heart failure patients, has not been adequately addressed.

To understand the current status of social frailty in patients with chronic heart failure and analyze its influencing factors.

From September 2022 to July 2023, convenience sampling was used to select patients with chronic heart failure from the First Affiliated Hospital with Nanjing Medical University as the research objects, the general information questionnaire, the HALFT Scale, the Loneliness Scale, the Brief 2-Way Social Support Scale, Personal Mastery Scale, and the Patient Health Questionnaire were used to investigate. Univariate analysis and support vector machine-feature recursive elimination were used to filter the feature, SVM classification model was constructed, and SHAP value was introduced to analyze the influencing factors.

A total of 228 patients were screened in this study, of which 8 patients refused to fill in. A total of 220 questionnaires were distributed and 213 valid questionnaires were returned, with an effective recovery rate of 96.81%. The proportion of pre-social frailty and social frailty in patients with chronic heart failure was 46.0% (98/213) and 17.8% (38/213), respectively. Statistically significant differences were observed among chronic heart failure patients with different degrees of social frailty in terms of education level, place of residence, working status, economic burden of disease, personal monthly income, course of disease, exercise habits, medical satisfaction, traffic, the UCLA Loneliness Scale score, the Brief 2-Way Social Support Scale score, the PMS score, and the PHQ-9 score. When the SVM-RFE model play the best performance, the optimal feature subset was used to construct the SVM classification prediction model and perform SHAP interpretability analysis. The accuracy of the model was 0.73 in the training set and 0.63 in the test set, respectively. At this time, the ranking of feature importance from high to low was no exercise habit (+), personal mastery (-), heavy economic burden of disease (+), 2-way social support (-), depression (+), loneliness (+), unemployment (+) .

Patients with chronic heart failure experiencing severe social frailty. Healthcare providers should prioritize identifying and addressing the resource deficits of patients and the underlying factors contributing to social frailty. Targeted interventions should be implemented to mitigate social frailty in patients with heart failure by enhancing external support systems, fostering positive beliefs, addressing negative emotional experiences, developing comprehensive management plans, coordinating medical resources, and implementing strategies to delay or reverse social frailty progression. These interventions aim to enhance the prognosis and quality of life for patients with heart failure.

Hypertension is a common disease among residents, characterized by insidious onset, high incidence, high disability rate, low control rate, and low awareness rate, posing a significant threat to residents' health. In recent years, medical research has discovered a certain association between the lipid accumulation index (LAP) and hypertension. However, current cohort studies on the risk of hypertension incidence related to adult LAP are still limited. This research aims to explore the association between adult LAP and the incidence of hypertension through long-term follow-up observation, providing reliable scientific evidence for the prevention and control of hypertension in the population.

To investigate the relationship between lipid accumulation index in adults and the incidence of hypertension.

A baseline survey was conducted in 2010 among 9 280 individuals from 48 townships in 12 counties (districts) in Guizhou Province. Baseline information, physical examination results, and laboratory test results were collected from the participants. Follow-up surveys were conducted in 2016 and 2020. Multivariable Cox proportional hazards regression analysis was used to assess the correlation between LAP and the incidence of hypertension in the population. The Schoenfeld residual method was employed to test the proportional hazards assumption.

Ultimately, 3 774 individuals were included in this study, with 806 new cases of hypertension (21.36%) and 2 968 individuals without hypertension (78.64%). Statistically significant differences were observed between the two groups in terms of LAP, LAP distribution, gender, age, residence, occupation type, current smoking, harmful alcohol consumption, excessive oil intake, waist circumference, and triglyceride (TG) levels (P<0.05). Participants were divided into four groups based on LAP quartiles: Q1 (198 cases), Q2 (238 cases), Q3 (297 cases), and Q4 (394 cases). Multivariable Cox proportional hazards regression analysis revealed that the risk of hypertension in the Q4 group was 1.43 times that of the Q1 group (P<0.05). A non-linear dose-response relationship was observed between LAP levels and the risk of hypertension in the overall population (P_non-linear=0.004). Subgroup analyses showed that, among males, the risk of hypertension increased in the Q3 (HR=1.67, 95%CI=1.24-2.25) and Q4 (HR=1.62, 95%CI=1.20-2.16) groups compared to the Q1 group (P<0.05). In the 18-45 and 46-60 age groups, the risk of hypertension increased in the Q4 group compared to the Q1 group (HR=1.58, 95%CI=1.20-2.09, P<0.001; HR=1.51, 95%CI=1.07-2.11, P=0.018). Among individuals primarily engaged in physical labor, the risk of hypertension increased in the Q4 group compared to the Q1 group (HR=1.28, 95%CI=1.02-1.59, P=0.030). Among individuals primarily engaged in mental labor, the risk of hypertension gradually increased with elevated LAP levels compared to the Q1 group (P<0.05) .

As a simple indicator for assessing abdominal obesity, LAP has a certain predictive effect on the risk of hypertension. Its predictive efficacy varies among different populations, with better performance in males and middle-aged and young adults. LAP can serve as a screening indicator for classifying individuals at risk of hypertension in primary healthcare or medical examination settings during health management services.

Since China officially entered into an aging society in 1999, the issue of population aging has escalated significantly, leading to institutional care becoming a popular option for older people. However, falls among residents are a recurring problem, and the current assessment tools have shown limited effectiveness.

To construct a comprehensive fall risk assessment tool for older people in elderly care institutions and verify its reliability and validity.

From March to December 2021, the initial item pool of the tool was developed through a literature review, semi-structured interviews and 2 rounds of expert consultation and pre-investigation. Older people and nursing assistants in elderly care facilities were randomly selected to make a survey. SPSS 26.0 and AMOS 26.0 software were used to analyze and evaluate the reliability and validity of the assessment tool. The correlation coefficient method, critical ration, internal consistency test and exploratory factor analysis were used for item analysis and screening. The intrinsic reliability, split-half reliability, scores reliability and inter-item consistency reliability were used to examine the reliability; face validity, content validity, criterion-related validity, contract validity and discriminant validity were used to examine the validity.

The assessment tools included three sub-instruments: (i) Fall risk assessment scale for older people; (ii) Fall record form for older people; (iii) Daily fall risk checklist for older people. The total Cronbach's alpha coefficient for sub-instrument (i) was 0.73 and the scorer reliability coefficient was 0.85; the exploratory factor analysis extracted three common factors with a cumulative variance contribution of 57.95%; the fit indices of the confirmatory factor model: Chi-square degrees of freedom ratio (χ²/df), Goodness of fit index (GFI), adjusted goodness of fit index (AGFI), standardized moderate index (NFI), comparative fit index (CFI), Tucker-Lewis coefficient (TLI), approximation error (RMSEA) were 2.43, 0.95, 0.91, 0.89, 0.93, 0.91, and 0.07, and discriminant validity is statistically significant (P<0.001). The results of the predictive ability analysis showed an area under the test work characteristic curve (AUC) of 0.87 for Morse Fall Scale (MFS) ≥55 and 0.84 for MFS≤25. Sub-instrument (ii) and (iii) were evaluated by a combination of experts and nursing assistants to form the final version.

This study has developed a comprehensive fall risk assessment tool for elderly people in elderly care institutions, which contains three sub-instruments that complement each other to improve the whole pathway from assessment to prevention, with good reliability, validity and predictive ability, and can provide a reference for fall prevention and management in the future.

The aging of our population is a growing problem, and depression is one of the more common psychiatric disorders in the elderly population, leading to a significantly increased risk of disability and death. The studies found a significant association between depression and cognitive disorders, and that this association may be influenced by sex. Sex differences in the associations between depression with cognitive functions and different cognitive domains are not clear in the elderly population.

Population ageing has become a common global phenomenon, and psychiatric problems associated with ageing are of great concern. This study investigated the status of depression and cognitive function in the urban elderly and examined the associations and sex differences between depression and cognitive function.

From September to October 2022, a stratified sampling method was used to select elderly residents aged 65 years and above in a community within the city of Hefei, Anhui province as the participants. General information was collected and depression and cognitive function status were assessed using the Geriatric Depression Scale (GDS) and the Brief Screening Scale for Dementia (BSSD), respectively. We explored the factors associated with depression in the elderly and analyzed the effects of depression, sex factors and their interactions on cognitive functioning.

A total of 328 older adults were included and the overall detection rate for depression was 14.9 %. Regression analyses showed that drinking (OR=0.362, 95%CI=0.155-0.847), and living with children (OR=2.445, 95%CI=1.021-5.853) were independently associated with depression (P<0.05). Factorial design analysis of variance showed that the total score of BSSD and scores of language (command) comprehension, attention and computation, orientation in place, orientation in time, and immediate memory factors were lower in the depressed group of the elderly than in the non-depressed group. Females had a lower total score of BSSD, lower scores of general knowledge and picture and orientation in place, and a higher score of language (command) comprehension than males (P<0.05). Depression and sex had significant interactions in general knowledge and picture, language (command) comprehension, and orientation in place (P<0.05) .

The urban elderly are at a higher risk of depression, and those with comorbid depression may have a certain degree of cognitive decline, with sex differences. Increased attention should be paid to psychiatric problems such as depression and dementia among the elderly, especially for the female geriatric population. It is necessary to develop individualised and comprehensive interventions to improve the mental health and quality of life of the elderly.

Upper limb motor dysfunction is a common functional disorder after stroke. Attention may have an impact on the recovery of upper limb motor function, but there is little evidence of correlation between upper limb motor function and attention.

To explore the correlation between upper limb motor function and attention after stroke, and to provide a new perspective for clinical rehabilitation of upper limb function.

A total of 480 stroke patients who were hospitalized in the Department of Rehabilitation Medicine of 26 units in China from March to October 2023 were selected as the study subjects. The Fugl-Meyer Assessment Upper Limb (FMA-UL) and Montreal Cognitive Assessment (MoCA) were used to evaluate the upper limb motor function and attention of the patients, respectively. Pearson correlation analysis was used to explore the correlation between the total score of FMA-UL and the scores of attention assessment items in MoCA.

Among the 480 patients, 105 patients did not finish the complete evaluation, so finally, 375 patients with stroke were included. The average FMA-UL score was (31.26±22.49) points. The average MoCA-Attention score was (4.74±1.60) points. The average Attention-Forward Digit Span and Backward Digit Span task score was (1.62±0.63) points; the average Attention-Vigilance task score was (0.74±0.45) points; the average Attention-Serial 7s task score was (2.39±0.95) points. The total FMA-UL score of male patients was higher than that of female patients (P<0.05). The total score of FMA-UL in all patients was positively correlated with the total score of MoCA-Attention, the score of Forward Digit Span and Backward Digit Span task, the score of Vigilance task, and the score of Serial 7s task (r=0.226, 0.146, 0.195, 0.182, P<0.05). The total score of FMA-UL in male patients was positively correlated with the total score of MoCA-Attention, the score of Forward Digit Span and Backward Digit Span task, the score of Vigilance task, and the score of Serial 7s task (r=0.236, 0.128, 0.213, 0.197, P<0.05) .

There is a significant and positive correlation between upper limb motor function and attention after stroke. The correlation between sustained attention and upper limb motor function is higher, and the correlation between attention span and upper limb motor function is lower. After grouping according to gender, the correlation between upper limb motor function and attention in male patients is the same as the above, while the correlation between upper limb motor function and attention in female patients is not significant, and gender may have an impact on the correlation between upper limb motor function and attention.