Objective:To investigate the symptom network structure of subjective cognitive decline(SCD)and its associated factors in middle-aged and older adults.Methods:A cross-sectional study was conducted among 8,262 community residents aged 45 years and over in Shandong Province(Jining,Weifang,and Zoucheng).SCD was assessed using the 8-item Ascertain Dementia(AD8)questionnaire,while mental health status was evaluated with Patient Health Questionnaire-9 and General Anxiety Disorder-7.SPSS and R were applied to construct the SCD symptom network model and examine its association with psychological factors.Results:The prevalence of SCD was 24.53％."Difficulty using household appliances"emerged as the core symptom,with the strongest connections to"forgetting appointments"(edge=2.13)and"declining daily memory and thinking ability".Additionally,"poor self-rated mental health"was most strongly linked to"loss of interest,change in hobbies and reduced activities"(edge=0.38).Conclusion:SCD symptoms in middle-aged and older adults exhibits strong interconnections and are closely linked to the individual's mental health condition.

Objective:To investigate the comorbidity rate of chronic diseases and prevalence of depressive symptoms among the middle-aged and elderly population,and explore the association between comorbidity with-chronic disease and depressive symptoms in middle-aged and older people.Methods:A cross-sectional study was conducted in Shandong Province.A total of 9 535 middle-aged and older people aged 45 years and over were recrui-ted.General information questionnaire,the chronic disease information questionnaire and Patient Health Question-naire were used for face-to-face interview to screen symptoms and collect information.Univariate analysis and mult-ivariate logistic regression analysis were employed to explore the association between comorbidity with chronic dis-ease and depressive symptoms.Results:The prevalence of depressive symptoms among middle-aged and older peo-ple was 8.7％,while among those with comorbid chronic diseases,the prevalence of depressive symptoms was 29.6％.Respectively,demonstrating an increasing trend with the number of chronic diseases(P＜0.001).Multiva-riate analysis revealed that comorbid chronic disease(OR=1.47,95％CI:1.22-1.78)were risk factors of depres-sive symptoms.Conclusion:Middle-aged and older people with multiple chronic conditions are more likely to be di-agnosed with depressive symptoms,and the detection rate of these symptoms increases with the number of comorbid chronic conditions.Therefore,it is recommended to strengthen mental health interventions for those with multiple chronic conditions.

Objective:To investigate the impact of traumatic experiences on panic attack,depression and anxi-ety symptoms among community residents.Methods:Totally 11 280 community residents were recruited.The Com-posite International Diagnostic Interview-3.0,Patient Health Questionnaire,7-item Generalized Anxiety Disorder Scale and general information questionnaire were used for face-to-face interview to collect information.Propensity Score Matching was conducted to match 5 184 community residents for analysis.Logistic regression was employed to analyze the impact of traumatic events on panic attack,depressive symptoms,and anxiety symptoms among the study sample.Results:Traumatic events were associated with a higher likelihood of experiencing panic attack(OR=3.26,95％CI:2.26-4.70),depression symptoms(OR=1.92,95％CI:1.56-2.37)and anxiety symptoms(OR=1.57,95％CI:1.24-1.99).Conclusion:Traumatic events extensively impact the mental health of commu-nity residents.Timely psychological support and early intervention are essential to prevent mental health issues in community residents affected by trauma.

Objective:To explore relationships and differences of perceived social support and depression-anx-iety symptoms between rural-to-urban migrated residents and rural residents.Methods:A total of 5 958 rural-to-ur-ban migrated residents and 4 720 rural residents were recruited.The Patient Health Questionnaire-9,Generalized Anxiety Disorder-7,and Perceived Social Support Scale were used to assess symptoms of depression,anxiety,and social support,respectively.Network estimation,centrality and predictability measurement,accuracy and stability verification,and network comparison were conducted based on R 4.2.0 to compare the network structure differ-ences between the two groups of residents.Results:In rural-to-urban migrated residents,"lack of energy"in depres-sive symptoms and"inability to control worry"in anxiety symptoms were the nodes with the highest expected influ-ence(EI).In rural residents,"low self-evaluation"in depressive symptoms and"difficulty relaxing"in anxiety symptoms were the nodes with the highest EI.The highest node of perceived social support EI for both groups was"support from relatives/leaders."The bridge nodes were the same for rural-to-urban migrated residents and rural residents,with"be down in spirits"being the nodes with the highest bridge expected influence.The results of net-work comparison test showed that the overall network structure of rural-to-urban migrated residents and rural resi-dents was statistically different(P＜0.05).Conclusion:There are correlation and difference among depressive symptoms,anxiety symptoms,and perceived social support in rural-to-urban migrated and rural residents.

Objective:To explore the risk factors of suicidal ideation in community residents in Shandong province,China,and to establish a prediction model and a nomogram for the risk of suicidal ideation.Methods:To-tally 11 087 community residents in Jining City,Zoucheng City,and Weifang City,Shandong Province,were recrui-ted as the study subjects.The general information questionnaire,Composite International Diagnostic Interview-3.0,General Anxiety Disorder-7,were used to collect demographic information,mental health status,family information,and lifestyle using a computer-assisted interview system to conduct face-to-face interview.LASSO regression and binary logistic regression analyses were used to develop a nomogram model of the risk of suicidal ideation.Results:Young people,female,smoking,non-new town residents,no physical exercise,difficulty approaching people,anxiety symptoms and depression were effective predictors of suicidal ideation.The area under the curve(AUC)of the training set(AUC)was 0.89(95％CI:0.85-0.93)and AUC of the validation set(AUC)was 0.83(95％CI:0.75-0.92).Conclusion:The nomogram prediction model constructed in this study on suicidal ideation in com-munity residents has a high degree of differentiation and accuracy.It could be used to screen people at high risk of suicide and provide intervention to suicidal ideation in community residents.

Objective:To investigate the symptom network structure of subjective cognitive decline(SCD)and its associated factors in middle-aged and older adults.Methods:A cross-sectional study was conducted among 8,262 community residents aged 45 years and over in Shandong Province(Jining,Weifang,and Zoucheng).SCD was assessed using the 8-item Ascertain Dementia(AD8)questionnaire,while mental health status was evaluated with Patient Health Questionnaire-9 and General Anxiety Disorder-7.SPSS and R were applied to construct the SCD symptom network model and examine its association with psychological factors.Results:The prevalence of SCD was 24.53％."Difficulty using household appliances"emerged as the core symptom,with the strongest connections to"forgetting appointments"(edge=2.13)and"declining daily memory and thinking ability".Additionally,"poor self-rated mental health"was most strongly linked to"loss of interest,change in hobbies and reduced activities"(edge=0.38).Conclusion:SCD symptoms in middle-aged and older adults exhibits strong interconnections and are closely linked to the individual's mental health condition.

Objective:To investigate the comorbidity rate of chronic diseases and prevalence of depressive symptoms among the middle-aged and elderly population,and explore the association between comorbidity with-chronic disease and depressive symptoms in middle-aged and older people.Methods:A cross-sectional study was conducted in Shandong Province.A total of 9 535 middle-aged and older people aged 45 years and over were recrui-ted.General information questionnaire,the chronic disease information questionnaire and Patient Health Question-naire were used for face-to-face interview to screen symptoms and collect information.Univariate analysis and mult-ivariate logistic regression analysis were employed to explore the association between comorbidity with chronic dis-ease and depressive symptoms.Results:The prevalence of depressive symptoms among middle-aged and older peo-ple was 8.7％,while among those with comorbid chronic diseases,the prevalence of depressive symptoms was 29.6％.Respectively,demonstrating an increasing trend with the number of chronic diseases(P＜0.001).Multiva-riate analysis revealed that comorbid chronic disease(OR=1.47,95％CI:1.22-1.78)were risk factors of depres-sive symptoms.Conclusion:Middle-aged and older people with multiple chronic conditions are more likely to be di-agnosed with depressive symptoms,and the detection rate of these symptoms increases with the number of comorbid chronic conditions.Therefore,it is recommended to strengthen mental health interventions for those with multiple chronic conditions.

Objective:To investigate the impact of traumatic experiences on panic attack,depression and anxi-ety symptoms among community residents.Methods:Totally 11 280 community residents were recruited.The Com-posite International Diagnostic Interview-3.0,Patient Health Questionnaire,7-item Generalized Anxiety Disorder Scale and general information questionnaire were used for face-to-face interview to collect information.Propensity Score Matching was conducted to match 5 184 community residents for analysis.Logistic regression was employed to analyze the impact of traumatic events on panic attack,depressive symptoms,and anxiety symptoms among the study sample.Results:Traumatic events were associated with a higher likelihood of experiencing panic attack(OR=3.26,95％CI:2.26-4.70),depression symptoms(OR=1.92,95％CI:1.56-2.37)and anxiety symptoms(OR=1.57,95％CI:1.24-1.99).Conclusion:Traumatic events extensively impact the mental health of commu-nity residents.Timely psychological support and early intervention are essential to prevent mental health issues in community residents affected by trauma.

Objective:To explore relationships and differences of perceived social support and depression-anx-iety symptoms between rural-to-urban migrated residents and rural residents.Methods:A total of 5 958 rural-to-ur-ban migrated residents and 4 720 rural residents were recruited.The Patient Health Questionnaire-9,Generalized Anxiety Disorder-7,and Perceived Social Support Scale were used to assess symptoms of depression,anxiety,and social support,respectively.Network estimation,centrality and predictability measurement,accuracy and stability verification,and network comparison were conducted based on R 4.2.0 to compare the network structure differ-ences between the two groups of residents.Results:In rural-to-urban migrated residents,"lack of energy"in depres-sive symptoms and"inability to control worry"in anxiety symptoms were the nodes with the highest expected influ-ence(EI).In rural residents,"low self-evaluation"in depressive symptoms and"difficulty relaxing"in anxiety symptoms were the nodes with the highest EI.The highest node of perceived social support EI for both groups was"support from relatives/leaders."The bridge nodes were the same for rural-to-urban migrated residents and rural residents,with"be down in spirits"being the nodes with the highest bridge expected influence.The results of net-work comparison test showed that the overall network structure of rural-to-urban migrated residents and rural resi-dents was statistically different(P＜0.05).Conclusion:There are correlation and difference among depressive symptoms,anxiety symptoms,and perceived social support in rural-to-urban migrated and rural residents.

Objective:To explore the risk factors of suicidal ideation in community residents in Shandong province,China,and to establish a prediction model and a nomogram for the risk of suicidal ideation.Methods:To-tally 11 087 community residents in Jining City,Zoucheng City,and Weifang City,Shandong Province,were recrui-ted as the study subjects.The general information questionnaire,Composite International Diagnostic Interview-3.0,General Anxiety Disorder-7,were used to collect demographic information,mental health status,family information,and lifestyle using a computer-assisted interview system to conduct face-to-face interview.LASSO regression and binary logistic regression analyses were used to develop a nomogram model of the risk of suicidal ideation.Results:Young people,female,smoking,non-new town residents,no physical exercise,difficulty approaching people,anxiety symptoms and depression were effective predictors of suicidal ideation.The area under the curve(AUC)of the training set(AUC)was 0.89(95％CI:0.85-0.93)and AUC of the validation set(AUC)was 0.83(95％CI:0.75-0.92).Conclusion:The nomogram prediction model constructed in this study on suicidal ideation in com-munity residents has a high degree of differentiation and accuracy.It could be used to screen people at high risk of suicide and provide intervention to suicidal ideation in community residents.