Objective:To explore the association between big five personality traits, emotional coping information acquisition ability, and depressive symptoms among Chinese adults, providing theoretical support for behavioral intervention strategies targeting individuals with different personality traits and depressive symptoms.Methods:Data were obtained from the Psychology and Behavior Investigation of Chinese Residents (PBICR), a cross-sectional survey conducted from July to September 2021 across 120 cities in China, with 9 966 adults involved. The big five inventory-10 (BFI-10) and patient health questionnaire-9 (PHQ-9) were used to assess personality traits and depressive symptoms, respectively. Emotional coping information acquisition ability was evaluated using a four-point Likert scale. Multivariable binary Logistic regression analysis was performed using R 4.3.1 software to examine associations among big five personality, emotion-coping information acquisition ability, and depressive symptoms.Results:Among the 9 966 surveyed adults, 1 213 individuals(12.2%) who met the PHQ-9 criteria were assessed to have positive depressive symptoms. Difficulties in acquiring emotional coping information were reported by 1 934 individuals(19.4%). The scores of extraversion, agreeableness, neuroticism, openness and conscientiousness in big five personality traits were 6.26±1.58, 7.00±1.49, 6.26±1.49, 6.41±1.52 and 6.91±1.60, respectively. Inter-group comparisons reported statistically significant differences in the five major personality traits between the negative and positive group of depressive symptoms ( χ2=215.39, P<0.05). Logistic regression analysis showed that poor emotional coping information acquisition ability ( B=0.304, OR(95% CI)=1.36(1.15-1.59)) and dominant traits of extraversion ( B=0.597, OR(95% CI)=1.82(1.55-2.13)) or openness ( B=0.321, OR(95% CI)=1.38(1.10-1.72)) were significant risk factors for depression. Conclusions:Chinese adults with big five personality mainly presented as extroversion and openness traits, and with poor emotional coping and information acquisition abilities might be associated with depressive symptoms.

Objective:To explore the association between big five personality traits, emotional coping information acquisition ability, and depressive symptoms among Chinese adults, providing theoretical support for behavioral intervention strategies targeting individuals with different personality traits and depressive symptoms.Methods:Data were obtained from the Psychology and Behavior Investigation of Chinese Residents (PBICR), a cross-sectional survey conducted from July to September 2021 across 120 cities in China, with 9 966 adults involved. The big five inventory-10 (BFI-10) and patient health questionnaire-9 (PHQ-9) were used to assess personality traits and depressive symptoms, respectively. Emotional coping information acquisition ability was evaluated using a four-point Likert scale. Multivariable binary Logistic regression analysis was performed using R 4.3.1 software to examine associations among big five personality, emotion-coping information acquisition ability, and depressive symptoms.Results:Among the 9 966 surveyed adults, 1 213 individuals(12.2%) who met the PHQ-9 criteria were assessed to have positive depressive symptoms. Difficulties in acquiring emotional coping information were reported by 1 934 individuals(19.4%). The scores of extraversion, agreeableness, neuroticism, openness and conscientiousness in big five personality traits were 6.26±1.58, 7.00±1.49, 6.26±1.49, 6.41±1.52 and 6.91±1.60, respectively. Inter-group comparisons reported statistically significant differences in the five major personality traits between the negative and positive group of depressive symptoms ( χ2=215.39, P<0.05). Logistic regression analysis showed that poor emotional coping information acquisition ability ( B=0.304, OR(95% CI)=1.36(1.15-1.59)) and dominant traits of extraversion ( B=0.597, OR(95% CI)=1.82(1.55-2.13)) or openness ( B=0.321, OR(95% CI)=1.38(1.10-1.72)) were significant risk factors for depression. Conclusions:Chinese adults with big five personality mainly presented as extroversion and openness traits, and with poor emotional coping and information acquisition abilities might be associated with depressive symptoms.

Objective To develop and validate a prediction model to identify high-risk individuals who are at-risk to develop acute liver injury(ALI)within 180 days in new statin users,and to support early clinical intervention.Methods Data were sourced from the Yinzhou Regional Health Information Platform,covering statin initiators aged 18 years and older from January 1,2010,to October 31,2021.The dataset was divided into a derivation cohort and a temporal validation cohort based on the time of statin initiation.Predictors were selected using LASSO regression,and the model was constructed using the extreme gradient boosting(XGBoost)algorithm combined with cost-sensitive learning.Model performance was evaluated using Brier scores,Harrell's C-index,and calibration curves.Results A total of 126,440 statin initiators were included,with 90,542 in the derivation cohort and 35,898 in the validation cohort.Within 180 days of initial statin use,412(0.33％)patients developed ALI,including 305(0.34％)in the derivation cohort and 107(0.30％)in the validation cohort.The final model incorporated 16 predictors,which included demographic characteristics,lifestyle factors,family history,medical history,statin use,and concomitant medication use.The model demonstrated excellent overall performance[Brier score=0.0043,95％CI(0.0038,0.0049)],discrimination[Harrell's C-index=0.761,95％CI(0.725,0.794)],and calibration in internal validation.In temporal validation,the model also performed well[Brier score=0.0044,95％CI(0.0036,0.0052),Harrell's C-index=0.703,95％CI(0.614,0.781)].Conclusion This study develope and validate a prediction model for ALI in statin users,providing clinicians with a reliable tool for individualized risk assessment.This model can help achieve risk stratification and reduce the occurrence of ALI.

Objective This study aims to develop a guideline for assessing and maintaining intrinsic capacity in older adults,offer recommendations to professionals regarding these assessments,and encourage the implementation of evidence-based clinical practices across various settings,including communities,hospitals,nursing homes,and other geriatric care environments.Methods An evidence-based approach guided the collection of questions through a lit-erature review.Preliminary recommendations were developed through a systematic search of domestic and interna-tional guideline networks,professional association websites,and comprehensive databases.Subsequently,the recom-mendations were revised,and the consensus was achieved through a round of expert consensus meetings and 3 rounds of expert correspondence,culminating in the formation of the guidelines.Results The developed guideline encompasses 2 aspects and 5 dimensions of assessment and maintenance,comprising a total of 28 questions and 39 recommendations.Specifically,6 questions and 9 recommendations were formulated for the cognitive dimension,5 questions and 7 recommendations for the locomotion dimension,6 questions and 7 recommendations for the vitality dimension,6 questions and 9 recommendations for the psychological dimension,and 5 questions and 7 recommenda-tions for the sensory dimension.Among these,34 are classified as strong recommendations,while 5 are categorized as weak recommendations.Conclusion The guideline offers scientifically robust,acceptable,and comprehensible rec-ommendations that equip the professionals with a foundation for decision-making aiming at preserving the intrinsic capacity of older adults.

Objective This study aims to develop a guideline for assessing and maintaining intrinsic capacity in older adults,offer recommendations to professionals regarding these assessments,and encourage the implementation of evidence-based clinical practices across various settings,including communities,hospitals,nursing homes,and other geriatric care environments.Methods An evidence-based approach guided the collection of questions through a lit-erature review.Preliminary recommendations were developed through a systematic search of domestic and interna-tional guideline networks,professional association websites,and comprehensive databases.Subsequently,the recom-mendations were revised,and the consensus was achieved through a round of expert consensus meetings and 3 rounds of expert correspondence,culminating in the formation of the guidelines.Results The developed guideline encompasses 2 aspects and 5 dimensions of assessment and maintenance,comprising a total of 28 questions and 39 recommendations.Specifically,6 questions and 9 recommendations were formulated for the cognitive dimension,5 questions and 7 recommendations for the locomotion dimension,6 questions and 7 recommendations for the vitality dimension,6 questions and 9 recommendations for the psychological dimension,and 5 questions and 7 recommenda-tions for the sensory dimension.Among these,34 are classified as strong recommendations,while 5 are categorized as weak recommendations.Conclusion The guideline offers scientifically robust,acceptable,and comprehensible rec-ommendations that equip the professionals with a foundation for decision-making aiming at preserving the intrinsic capacity of older adults.

Objective To develop and validate a prediction model to identify high-risk individuals who are at-risk to develop acute liver injury(ALI)within 180 days in new statin users,and to support early clinical intervention.Methods Data were sourced from the Yinzhou Regional Health Information Platform,covering statin initiators aged 18 years and older from January 1,2010,to October 31,2021.The dataset was divided into a derivation cohort and a temporal validation cohort based on the time of statin initiation.Predictors were selected using LASSO regression,and the model was constructed using the extreme gradient boosting(XGBoost)algorithm combined with cost-sensitive learning.Model performance was evaluated using Brier scores,Harrell's C-index,and calibration curves.Results A total of 126,440 statin initiators were included,with 90,542 in the derivation cohort and 35,898 in the validation cohort.Within 180 days of initial statin use,412(0.33％)patients developed ALI,including 305(0.34％)in the derivation cohort and 107(0.30％)in the validation cohort.The final model incorporated 16 predictors,which included demographic characteristics,lifestyle factors,family history,medical history,statin use,and concomitant medication use.The model demonstrated excellent overall performance[Brier score=0.0043,95％CI(0.0038,0.0049)],discrimination[Harrell's C-index=0.761,95％CI(0.725,0.794)],and calibration in internal validation.In temporal validation,the model also performed well[Brier score=0.0044,95％CI(0.0036,0.0052),Harrell's C-index=0.703,95％CI(0.614,0.781)].Conclusion This study develope and validate a prediction model for ALI in statin users,providing clinicians with a reliable tool for individualized risk assessment.This model can help achieve risk stratification and reduce the occurrence of ALI.

Diabetes mellitus(DM)is a major metabolic disease endangering global health,with diabetic ne-phropathy(DN)as a primary complication lacking curative therapy.Sporoderm-broken spores of Ganoderma lucidum(GLP),an herbal medicine,has been used for the treatment of metabolic disorders.In this study,DN was induced in Sprague-Dawley rats using streptozotocin(STZ)and a high-fat diet(HFD),and the protective mechanisms of GLP were investigated through transcriptomic,metabolomic,and network pharmacology(NP)analyses.0ur results demonstrated that GLP intervention ameliorated renal damage and inflammation levels in DN rats.Integrative metabolomic and transcriptomic analysis revealed that GLP treatment modulated glucose and cellular energy metabolisms by regulating relevant genes.GLP significantly suppressed the inflammations by impacting glucose and energy metabolism-related gene expression(Igfbp1 and Angptl4)and enhanced metabolic biomarkers of 4-Aminocatechol.In addition,NP analysis further indicated that GLP may efficiently alleviate DN via immune-related pathways.In conclusion,this study provides supportive evidence of the anti-inflammatory effects of GLP supplements,highlighting their potential for promising clinical applications in treating DN.

BACKGROUND:Previous studies have reported inconsistent results with positive,negative,and J-shaped associations between alcohol consumption and the hazard of aortic aneurysm and dissection(AAD).This study aimed to examine the connections between weekly alcohol consumption and the subsequent risk of AAD. METHODS:The UK Biobank study is a population-based cohort study.Weekly alcohol consumption was assessed using self-reported questionnaires and the congenital risk of alcohol consumption was also evaluated using genetic risk score(GRS).Cox proportional hazards models were used to estimate hazard ratios(HRs)with 95%confidence intervals(CIs)for the associations between alcohol consumption and AAD.Several sensitivity analyses were performed to assess the robustness of the results. RESULTS:Among the 388,955 participants(mean age:57.1 years,47.4%male),2,895 incident AAD cases were documented during a median follow-up of 12.5 years.Compared with never-drinkers,moderate drinkers(adjusted HR:0.797,95%CI:0.646-0.984,P<0.05)and moderate-heavy drinkers(adjusted HR:0.794,95%CI:0.635-0.992,P<0.05)were significantly associated with a decreased risk of incident AAD.Interaction-based subgroup analysis revealed that the protective effect of moderate drinking was reflected mainly in participants younger than 65 years and women. CONCLUSION:Our findings support a protective effect of moderate alcohol consumption on AAD,but are limited to participants younger than 65 years and women.

BACKGROUND:Previous studies have reported inconsistent results with positive,negative,and J-shaped associations between alcohol consumption and the hazard of aortic aneurysm and dissection(AAD).This study aimed to examine the connections between weekly alcohol consumption and the subsequent risk of AAD. METHODS:The UK Biobank study is a population-based cohort study.Weekly alcohol consumption was assessed using self-reported questionnaires and the congenital risk of alcohol consumption was also evaluated using genetic risk score(GRS).Cox proportional hazards models were used to estimate hazard ratios(HRs)with 95%confidence intervals(CIs)for the associations between alcohol consumption and AAD.Several sensitivity analyses were performed to assess the robustness of the results. RESULTS:Among the 388,955 participants(mean age:57.1 years,47.4%male),2,895 incident AAD cases were documented during a median follow-up of 12.5 years.Compared with never-drinkers,moderate drinkers(adjusted HR:0.797,95%CI:0.646-0.984,P<0.05)and moderate-heavy drinkers(adjusted HR:0.794,95%CI:0.635-0.992,P<0.05)were significantly associated with a decreased risk of incident AAD.Interaction-based subgroup analysis revealed that the protective effect of moderate drinking was reflected mainly in participants younger than 65 years and women. CONCLUSION:Our findings support a protective effect of moderate alcohol consumption on AAD,but are limited to participants younger than 65 years and women.

BACKGROUND:Previous studies have reported inconsistent results with positive,negative,and J-shaped associations between alcohol consumption and the hazard of aortic aneurysm and dissection(AAD).This study aimed to examine the connections between weekly alcohol consumption and the subsequent risk of AAD. METHODS:The UK Biobank study is a population-based cohort study.Weekly alcohol consumption was assessed using self-reported questionnaires and the congenital risk of alcohol consumption was also evaluated using genetic risk score(GRS).Cox proportional hazards models were used to estimate hazard ratios(HRs)with 95%confidence intervals(CIs)for the associations between alcohol consumption and AAD.Several sensitivity analyses were performed to assess the robustness of the results. RESULTS:Among the 388,955 participants(mean age:57.1 years,47.4%male),2,895 incident AAD cases were documented during a median follow-up of 12.5 years.Compared with never-drinkers,moderate drinkers(adjusted HR:0.797,95%CI:0.646-0.984,P<0.05)and moderate-heavy drinkers(adjusted HR:0.794,95%CI:0.635-0.992,P<0.05)were significantly associated with a decreased risk of incident AAD.Interaction-based subgroup analysis revealed that the protective effect of moderate drinking was reflected mainly in participants younger than 65 years and women. CONCLUSION:Our findings support a protective effect of moderate alcohol consumption on AAD,but are limited to participants younger than 65 years and women.