To investigate the effects of joint function screening and correction on intervention efficacy of prevention and assessment score of training injuries in new recruits.

A randomized controlled study was conducted on 265 new recruits subjected from two organizational units of an army unit with cluster sampling. Based on entire organizational unit, the participants were randomly divided into a control group (n=132) and an experimental group (n=133). The experimental group received joint function screening and corrective movement training, which was subsequently applied in the new recruit training, while the control group underwent training according to conventional methods. Joint function were collected before and after training. The demographic data, assessment score of training, and incidence of training injuries were collected through the participant’s own organizational unit. Receiver operating characteristic (ROC) curve was plotted to evaluate the efficacy of joint function screening in predicting training injuries, and binary logistic regression and general linear regression analyses were applied to verify the correlation of joint function screening score with training injuries and assessment score of training.

After new training, the score of joint function screening was significantly higher in the experimental group than the control group (16.62±1.87 vs 14.92±2.58, P<0.001). And the score was obviously increased in the experimental group (16.62±1.87 vs 12.82±1.98, P<0.001) and the control group (14.92±2.58 vs 12.95±1.81, P<0.001) when compared with the corresponding score before training. The area under the ROC curve (AUC) of joint function screening in predicting training injuries was 0.762 (95%CI: 0.694~0.830), indicating good predictive efficacy. During the new training process, the incidence of training injuries in the experimental group (13.53%) was significantly lower than that in the control group (24.24%, Chi-square =4.963, P=0.026). Binary logistic regression analysis showed that the pre-training assessment score of joint function screening was an important influencing factor for training injuries in new recruits (OR=0.552, 95%CI: 0.413~0.660, P<0.001). The experimental group obtained notably higher mean assessment score than the control group [733.00 (716.00, 752.75) vs 728.79 (710.46, 744.28), P=0.027]. Linear regression analysis revealed a correlation between post-training score of joint function screening and the assessment score of newly trained personnel (P<0.001).

Joint function screening and correction for newly trained personnel can effectively prevent training-related injuries during the new training period, and correcting joint function through training can effectively improve the assessment score of newly trained personnel.

As a critical support component of the operational system, military logistics and equipment support personnel play a pivotal role in the generation and maintenance of combat force, with their health literacy levels directly influencing these outcomes. However, research focusing on the health literacy of this specific population remains lacking. This study aimed to investigate the current status of health literacy and its influencing factors among logistics and equipment support personnel, thereby providing empirical evidence for constructing a health management system.

A cross-sectional study design was adopted. From April 15 to 30, 2025, 722 logistics and equipment support personnel stationed in a city in western China were selected by cluster sampling. Military Personnel Health Literacy Questionnaire was employed for on-site assessments, encompassing 4 dimensions (basic health concepts, basic health knowledge, basic health skills, and basic health behaviors) and 6 specific categories (military personnel health concepts, prevention of military training injuries, military personnel mental health, combat self-aid and buddy-aid, prevention and control of common diseases in military units, and health management). The questionnaire consists of 40 items with a total score of 50 points. Health literacy was defined as achieving≥80% of the total score (score≥40 points). The health literacy rate was calculated using the formula: Health literacy rate= (Number of individuals with adequate health literacy/Total number of valid respondents) × 100%. Spearman analysis was used to examine health literacy-related factors, and multivariable logistic regression was applied to analyze influencing factors for health literacy.

The overall rate of adequate health literacy among the surveyed military logistics and equipment support personnel was 38. 14%. Among the 4 dimensions of health literacy, the rate of basic health concept literacy demonstrated the highest level (57. 57%), while the rate of basic health knowledge literacy showed the lowest level (22. 57%). Among the 6 specific categories of health literacy, the rate of military health concept literacy was as high as 99. 57%, whereas the rate of literacy in the prevention and control of common diseases in military units was only 16. 00%. The overall correct response rate for health literacy was 77. 99%, with 7 items having a correct response rate of less than 60%;among these, the correct response rate for limb fracture fixation techniques was the lowest (31. 86%). Multivariate logistic regression analysis revealed that identity category (officer, conscript, etc.) and smoking status were independent influencing factors for health literacy. Compared with conscripts, officers had a significantly higher likelihood of having adequate health literacy (OR=4. 960, 95%CI:1. 785 to 13. 783). In addition, smokers had a lower level of health literacy than non-smokers (OR=0. 662, 95%CI:0. 471 to 0. 930).

Health literacy among logistics and equipment support personnel is characterized by strong health concepts, weak combat casualty care skills, and poor competence in the prevention and control of common diseases. It is recommended that future health intervention measures focus on smokers and conscripts, with routine training programs focusing on the prevention and control of military common diseases, military personnel mental health, and combat self-aid and buddy-aid skills.

To investigate the current status of health literacy, self-efficacy, social support and quality of life in patients with lung cancer, and to explore the relationship among the 4 factors.

A total of 376 lung cancer patients were collected with convenience sampling and surveyed with questionnaires for general information, health literacy, social support, self-efficacy and quality of life. Amos was used to establish a structural equation model to analyze the relationship in the factors.

The total score of health literacy, social support and self-efficacy of these lung cancer patients was 96.34±19.57, 41.06±9.28 and 85.55±19.36, respectively. The score of general function, general health status and general symptoms in quality of life was 77.08±18.27, 46.13±18.17 and 24.02±17.75, respectively. Except social support and general health status, health literacy, social support and self-efficacy were correlated with all dimensions of quality of life（P<0.01）. The structural equation model showed that self-efficacy had only a direct effect on quality of life（an effect value of 0.382, P<0.01）. Health literacy directly affected quality of life or indirectly did through social support and self-efficacy（an effect value of 0.347, an indirect effect of 0.135, P<0.01）, with the largest effect. The model had a good fitting effect（GFI=0.940, AGFI=0.908, NFI=0.959, RFI=0.45, CFI=0.974, IFI=0.974, RMSEA=0.067）.

Health literacy and self-efficacy exert direct effects on the quality of life of lung cancer patients, and health literacy also indirectly affects the quality of life through social support and self-efficacy.