BACKGROUND: The mechanisms distinguishing metabolically healthy from unhealthy phenotypes within the same BMI categories remain unclear. This study aimed to investigate the associations between regional fat distribution and metabolically unhealthy phenotypes in Chinese adults across different BMI categories. METHODS: This cross-sectional study involving 11833 Chinese adults aged 20 years and older. Covariance analysis, adjusted for age, compared the percentage of regional fat (trunk, leg, or arm fat divided by whole-body fat) between metabolically healthy and unhealthy participants. Trends in regional fat percentage with the number of metabolic abnormalities were assessed by the Jonckheere-Terpstra test. Odds ratios (ORs) and their 95% confidence intervals (CIs) were estimated by logistic regression models. All analyses were performed separately by sex. RESULTS: In non-obese individuals, metabolically unhealthy participants exhibited higher percent trunk fat and lower percent leg fat compared to healthy participants. Additionally, percent trunk fat increased and percent leg fat decreased with the number of metabolic abnormalities. After adjustment for demographic and lifestyle factors, as well as BMI, higher percent trunk fat was associated with increased odds of being metabolically unhealthy [highest vs. lowest quartile: ORs (95%CI) of 1.64 (1.35, 2.00) for men and 2.00 (1.63, 2.46) for women]. Conversely, compared with the lowest quartile, the ORs (95%CI) of metabolically unhealthy phenotype in the highest quartile for percent arm and leg fat were 0.64 (0.53, 0.78) and 0.60 (0.49, 0.74) for men, and 0.72 (0.56, 0.93) and 0.46 (0.36, 0.59) for women, respectively. Significant interactions between BMI and percentage of trunk and leg fat were observed in both sexes, with stronger associations found in individuals with normal weight and overweight. CONCLUSIONS Trunk fat is associated with a higher risk of metabolically unhealthy phenotype, while leg and arm fat are protective factors. Regional fat distribution assessments are crucial for identifying metabolically unhealthy phenotypes, particularly in non-obese individuals.
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Young Adult ; Adipose Tissue ; Body Fat Distribution ; Body Mass Index ; China/epidemiology* ; Cross-Sectional Studies ; Health Surveys ; Phenotype

Anterior cruciate ligament (ACL) injury is a common disease of the knee joint, which affects the stability of the knee joint. As an emerging field, artificial intelligence (AI) has developed rapidly in the diagnosis and treatment of ACL injury in recent years, improving the accuracy and timeliness of the whole diagnosis and treatment process to improve the prognosis of ACL injury. This article reviews the research progress of AI in diagnosis of ACL injury, ACL reconstruction, prediction of postoperative outcomes, and postoperative rehabilitation. We hope this information may help surgeons to improve the success rate of AI in diagnosis and treatment of ACL injury and provide cutting-edge technical support to improve patient outcomes.

Objective To investigate whether the geometric triangular relationship between the Blumensaat line and the tibial plateau can serve as an auxiliary diagnostic index for identifying and evaluating anterior cruciate ligament(ACL)injuries,thereby enhancing diagnostic accuracy.Methods A retrospective self-controlled study was conducted involving 64 patients diagnosed with unilateral ACL injury via arthroscopy and treated with ACL reconstruction at Qingdao Municipal Hospital from January to August 2023.Ultimately,40 cases were included in the analysis.Preoperative MRI images of the affected knees and contralateral healthy knees were collected as the ACL injury group and control group,respectively.In the MRI images,point C,point D,and point E were defined as the anterior end,posterior end,and midpoint of the Blumensaat line,respectively;point A and point B were defined as the turning points of the anterior and posterior edges of the tibial plateau,respectively;and point C'was defined as the intersection of the extension line of DC and line AB.Based on these anatomical landmarks,angles ∠DAB,∠CEB,∠DC'B,and ∠CDB were established.The intra-class correlation coefficient(ICC)was calculated to assess measurement consistency and reproducibility.Differences between the aforementioned angles were compared,and the area under the receiver operating characteristic(ROC)curve was computed to evaluate diagnostic performance.Results For ∠CDB,∠DC'B,∠CEB,and ∠DAB,the intra-group and inter-group correlation coefficients all exceeded 0.80,indicating excellent consistency and reproducibility.Compared to the control group,the angles ∠CDB,∠CEB,and ∠DAB in the ACL injury group were significantly reduced(P<0.001).Among these,∠DAB appears to be the most reliable index for diagnosing and evaluating ACL injuries,with an area under the receiver operating characteristic curve(AUC)of 0.829,a cut-off value of 42.2°,a sensitivity of 82.5%,and a specificity of 80.0%.Conclusion The geometric triangular relationship between the Blumensaat line and the tibial plateau in MRI images,particularly the angle ∠DAB,can serve as an auxiliary indicator for diagnosing and evaluating ACL injuries,thereby enhancing diagnostic accuracy.

Objective To investigate whether the geometric triangular relationship between the Blumensaat line and the tibial plateau can serve as an auxiliary diagnostic index for identifying and evaluating anterior cruciate ligament(ACL)injuries,thereby enhancing diagnostic accuracy.Methods A retrospective self-controlled study was conducted involving 64 patients diagnosed with unilateral ACL injury via arthroscopy and treated with ACL reconstruction at Qingdao Municipal Hospital from January to August 2023.Ultimately,40 cases were included in the analysis.Preoperative MRI images of the affected knees and contralateral healthy knees were collected as the ACL injury group and control group,respectively.In the MRI images,point C,point D,and point E were defined as the anterior end,posterior end,and midpoint of the Blumensaat line,respectively;point A and point B were defined as the turning points of the anterior and posterior edges of the tibial plateau,respectively;and point C'was defined as the intersection of the extension line of DC and line AB.Based on these anatomical landmarks,angles ∠DAB,∠CEB,∠DC'B,and ∠CDB were established.The intra-class correlation coefficient(ICC)was calculated to assess measurement consistency and reproducibility.Differences between the aforementioned angles were compared,and the area under the receiver operating characteristic(ROC)curve was computed to evaluate diagnostic performance.Results For ∠CDB,∠DC'B,∠CEB,and ∠DAB,the intra-group and inter-group correlation coefficients all exceeded 0.80,indicating excellent consistency and reproducibility.Compared to the control group,the angles ∠CDB,∠CEB,and ∠DAB in the ACL injury group were significantly reduced(P<0.001).Among these,∠DAB appears to be the most reliable index for diagnosing and evaluating ACL injuries,with an area under the receiver operating characteristic curve(AUC)of 0.829,a cut-off value of 42.2°,a sensitivity of 82.5%,and a specificity of 80.0%.Conclusion The geometric triangular relationship between the Blumensaat line and the tibial plateau in MRI images,particularly the angle ∠DAB,can serve as an auxiliary indicator for diagnosing and evaluating ACL injuries,thereby enhancing diagnostic accuracy.

Anterior cruciate ligament (ACL) injury is a common disease of the knee joint, which affects the stability of the knee joint. As an emerging field, artificial intelligence (AI) has developed rapidly in the diagnosis and treatment of ACL injury in recent years, improving the accuracy and timeliness of the whole diagnosis and treatment process to improve the prognosis of ACL injury. This article reviews the research progress of AI in diagnosis of ACL injury, ACL reconstruction, prediction of postoperative outcomes, and postoperative rehabilitation. We hope this information may help surgeons to improve the success rate of AI in diagnosis and treatment of ACL injury and provide cutting-edge technical support to improve patient outcomes.

Motion sickness refers to a multi-system physiological syndrome caused by abnormal acceleration and motion vision scene immersion.It occurs commonly in transportation,military operations,space exploration and other fields.This article reviews recent advances in mechanism,prediction and assessment as well as control measures for motion sickness,and discusses possible research direction of motion sickness in the future.The biological basis for motion sickness sensory conflict theory has been expanded;genomic sequencing and artificial intelligence techniques have been used as novel tools for motion sickness prediction and evaluation.Acclimatization training,anti-motion sickness medication and non-drug symptom control measures used in combination is the key for motion sickness prevention and treatment.

Objective To explore the improving effects of motion sickness acclimatization training methods,namely sinusoidal vertical oscillation stimulation and sinusoidal vertical oscillation stimulation combined with visual virtual reality(VR)swell stimulation,on cognitive performance of individuals with extremely severe motion sickness.Methods A total of 90 individuals with extremely severe motion sickness screened by the Graybiel score during 6 h navigation were randomly divided into vertical group,vertical+VR group,and control group(n=30).The abilities of vigilance,memory,rapid calculation,information processing and visual manipulation were evaluated before and after the acclimatization training using a self-developed cognitive performance evaluation software.Results On the 1st day of training,the numbers of missed targets of the vertical group and vertical+VR group were increased in the vigilance test;the reaction time was prolonged in the short-term memory,rapid calculation,information processing and visual manipulation tasks;and the efficiency of rapid calculation was reduced.After acclimatization training,the numbers of missed targets were reduced to the baseline level in the vertical and vertical+VR groups,and the reaction time in the short-term memory,rapid calculation,information processing and visual manipulation tasks and the efficiency of rapid calculation were improved.Conclusion Motion sickness caused by vertical oscillation stimulation or vertical oscillation combined with visual VR swell stimulation can decrease vigilance,short-term memory,rapid calculation,information processing and visual manipulation abilities.Motion sickness acclimatization training can significantly improve the above cognitive abilities.

Objective To study the acclimatization time and effects for preventing motion sickness under sinusoidal vertical oscillation stimulation,visual virtual reality(VR)swell stimulation,and their combined stimulation.Methods Totally 120 individuals with extremely severe motion sickness during 6 h navigation were randomly divided into 4 groups(n=30):vertical group,VR group,vertical+VR group,and control group.The severity of symptoms during the training period was assessed daily by Graybiel scale,and the number of drops from flexible treadmill in the VR group was recorded.The Graybiel score of 0 for 3 d and/or the number of drops for 0 were considered as complete acclimatization.The training effect was validated by navigation under more severe sea conditions.Results The Graybiel scores of the vertical group and vertical+VR group,as well as the number of drops of the VR group were decreased with the increase of training days,and reached the acclimatization level on the 3rd,5th,and 2nd training day,respectively.The longest acclimatization time in the vertical,vertical+VR,and VR groups was 8,8,and 5 d,with an average acclimatization time of 3.6,3.9,and 2.7 d,respectively;the acclimatization rates within 5 d were 93.33％(28/30),76.67％(23/30),and 100.00％(30/30),respectively;the proportions of individuals with effective acclimatization training in the verification voyage were 86.67％(26/30),96.67％(29/30),and 66.67％(20/30),respectively;and the training efficiency was 85.19％,96.30％,and 62.97％,respectively.Conclusion Three training methods all have effects on motion sickness acclimatization,and the acclimatization period is 5-8 d.The acclimatization effects of the vertical oscillation and vertical oscillation+VR training are better than the VR training.

Objective To observe the effect of the supine-posture ripple wood training in preventing motion sickness caused by linear acceleration.Methods Totally 61 motion sickness sensitive males were screened by a vertical oscillation simulator and divided into mildly sensitive group(Graybiel score 1-15,n=28)and severely sensitive group(Graybiel score 16,n=33).The participants in the 2 groups received 5-d ripple wood training,30 min/d.The movement frequency of the ripper wood was maintained at 0.25-0.35 Hz,with an acceleration of 0.15-0.25 g.Graybiel score during the training period was recorded.The static balance function test was conducted before and after training on the 1st and 5th day.Results During the training period,the Graybiel scores and motion sickness incidence in the severely sensitive group were decreased with the increase of training days,and all participants achieved complete acclimatization on the 4th day.The Graybiel scores of the mildly sensitive group were low during the whole period,and the complete acclimatization period was 2 d.There was no significant difference in the sway area of the severely sensitive group in static balance function test before and after training(P＞0.05).The mean velocity of the severely sensitive group in static balance function test was significantly increased after training versus before training on the 1st day(P＜0.01),and there was no significant difference before and after training on the 5th day(P＞0.05).There were no significant differences in the sway area or mean velocity of the mildly sensitive group during the whole training period(all P＞0.05).The validation experiment showed that the motion sickness incidence and the symptom severity were significantly decreased in both groups;the motion sickness incidence of the mildly sensitive group decreased from 100.00％(28/28)to 35.71％(10/28);the incidence of severe symptoms in the severely sensitive group decreased from 100.00％(33/33)to 6.06％(2/33)and the vomiting incidence decreased from 96.97％(32/33)to 6.06％(2/33).Conclusion The supine-posture ripple wood training has great effect in preventing motion sickness,with widespread use and simple operation.

In the context of the digital economy， the operational relationship between traditional Chinese medicine （TCM） and Internet healthcare organizations as well as related governance institutions has attracted much attention. As the market scale of the Internet healthcare has continued to grow in recent years， the quality of Internet TCM healthcare has also been improved. By analyzing the development status of Internet TCM healthcare， it is proposed that Internet TCM health service should seize the opportunities and challenges in future， promote the growth of market scale from varied aspects， enhance patient-centered care awareness， and strengthen the promotion and popularization of digital services， thereby promoting the high-quality development of Internet TCM health service in the context of the digital economy.