Adolescents are considered one of the most vulnerable groups affected by suicide.Rapid changes in adolescents’physical and mental states,as well as in their lives,significantly and undeniably increase the risk of sui...Adolescents are considered one of the most vulnerable groups affected by suicide.Rapid changes in adolescents’physical and mental states,as well as in their lives,significantly and undeniably increase the risk of suicide.Psychological,social,family,individual,and environmental factors are important risk factors for suicidal behavior among teenagers and may contribute to suicide risk through various direct,indirect,or combined pathways.Social-emotional learning is considered a powerful intervention measure for addressing the crisis of adolescent suicide.When deliberately cultivated,fostered,and enhanced,selfawareness,self-management,social awareness,interpersonal skills,and responsible decision-making,as the five core competencies of social-emotional learning,can be used to effectively target various risk factors for adolescent suicide and provide necessary mental and interpersonal support.Among numerous suicide intervention methods,school-based interventions based on social-emotional competence have shown great potential in preventing and addressing suicide risk factors in adolescents.The characteristics of school-based interventions based on social-emotional competence,including their appropriateness,necessity,cost-effectiveness,comprehensiveness,and effectiveness,make these interventions an important means of addressing the crisis of adolescent suicide.To further determine the potential of school-based interventions based on social-emotional competence and better address the issue of adolescent suicide,additional financial support should be provided,the combination of socialemotional learning and other suicide prevention programs within schools should be fully leveraged,and cooperation between schools and families,society,and other environments should be maximized.These efforts should be considered future research directions.展开更多
BACKGROUND Delirium is a neuropsychiatric syndrome characterized by acute disturbances of consciousness with rapid onset,rapid progression,obvious fluctuations,and preventable,reversible,and other characteristics.Pati...BACKGROUND Delirium is a neuropsychiatric syndrome characterized by acute disturbances of consciousness with rapid onset,rapid progression,obvious fluctuations,and preventable,reversible,and other characteristics.Patients with delirium in the intensive care unit(ICU)are often missed or misdiagnosed and do not receive adequate attention.AIM To analyze the risk factors for delirium in ICU patients and explore the applica-tion of emotional nursing with pain nursing in the management of delirium.METHODS General data of 301 critically ill patients were retrospectively collected,including histories(cardiovascular and cerebrovascular diseases,hypertension,smoking,alcoholism,and diabetes),age,sex,diagnosis,whether surgery was performed,and patient origin(emergency/clinic).Additionally,the duration of sedation,Richmond Agitation Sedation Scale score,combined emotional and pain care,ven-tilator use duration,vasoactive drug use,drainage tube retention,ICU stay du-ration,C-reactive protein,procalcitonin,white blood cell count,body tempe-rature,Acute Physiology and Chronic Health Evaluation II(APACHE II)score,and Sequential Organ Failure Assessment score were recorded within 24 h after ICU admission.Patients were assessed for delirium according to confusion assessment method for the ICU,and univariate and multivariate logistic regre-ssion analyses were performed to identify the risk factors for delirium in the patients.RESULTS Univariate logistic regression analysis was performed on the 24 potential risk factors associated with delirium in ICU patients.The results showed that 16 risk factors were closely related to delirium,including combined emotional and pain care,history of diabetes,and patient origin.Multivariate logistic regression analysis revealed that no combined emotional and pain care,history of diabetes,emergency source,surgery,long stay in the ICU,smoking history,and high APACHE II score were independent risk factors for de-lirium in ICU patients.CONCLUSION Patients with diabetes and/or smoking history,postoperative patients,patients with a high APACHE II score,and those with emergency ICU admission need emotional and pain care,flexible visiting modes,and early intervention to reduce delirium incidence.展开更多
BACKGROUND It is positive to integrate and evaluate the risk factors for postpartum depression in patients with pregnancy-induced hypertension syndrome and to detect highrisk patients as early as possible,which has ap...BACKGROUND It is positive to integrate and evaluate the risk factors for postpartum depression in patients with pregnancy-induced hypertension syndrome and to detect highrisk patients as early as possible,which has application value for the clinical development of personalized prevention programs and prognosis of patients.AIM To analyze factors related to postpartum depression in patients with pregnancyinduced hypertension and construct and evaluate a nomogram model.METHODS The clinical data of 276 patients with pregnancy-induced hypertension admitted to Huzhou Maternity and Child Health Care Hospital between January 2017 and April 2022 were retrospectively analyzed.We evaluated the depression incidence at 6 wk postpartum.The depression group included patients with postpartum depression,and the remainder were in the non-depression group.Multivariate logistic regression analysis and the LASSO regression model were applied to analyze the factors related to postpartum depression in patients with pregnancyinduced hypertension.After that,a risk prediction model nomogram was constructed and evaluated.RESULTS Multivariate logistic regression analysis showed that vitamin A deficiency(VAD)during pregnancy and puerperium,family history of hypertension,maternal intestinal flora imbalance,eicosapentaenoic acid(EPA),and docosahexaenoic acid(DHA)were independent risk factors for postpartum depression in patients with pregnancy-induced hypertension(P<0.05).We constructed the nomogram model based on these five risk factors.The area under the curve,specificity,and sensitivity of the model in predicting postpartum depression in patients with pregnancy-induced hypertension was 0.867(95%confidence interval:0.828–0.935),0.676,and 0.889,respectively.The average absolute error was 0.037(Hosmer-Lemeshow testχ2=10.739,P=0.217).CONCLUSION VAD during pregnancy and puerperium,family history of hypertension,maternal intestinal flora imbalance,EPA,and DHA affect postpartum depression in patients with pregnancy-induced hypertension.展开更多
The adequacy of language education largely depends on the favorable and unfavorable emotions that teachers and students experience throughout the education process.Simply said,emotional factors play a key role in impr...The adequacy of language education largely depends on the favorable and unfavorable emotions that teachers and students experience throughout the education process.Simply said,emotional factors play a key role in improving the quality of language teaching and learning.Furthermore,these emotional factors also promote the well-being of language teachers and learners and place them in a suitable mental condition.In view of the favorable impact of emotional factors on the mental health of language teachers and learners,many educational scholars around the world have studied these factors,their background,and their pedagogical consequences.Nonetheless,the majority of previous studies have employed traditional research methods in assessing these variables and their influences on language teachers’and learners’mental health.Because of the complex and dynamic quality of emotional factors,traditional research approaches often fail to evaluate these factors and their dynamic,non-linear connections with teachers’and learners’mental health and well-being.Accordingly,some novel research approaches are required to measure the dynamicity and complexity of emotional factors in language education settings.To address this call,the current state-of-the-art conceptual article seeks to provide new insights for investigating emotional factors and their potential impact on language teachers’and learners’mental states.This study also intends to offer a comprehensive list of emerging methods that take into account the complex and dynamic nature of emotional variables.Finally,the study outlines the potential implications of this review for educational researchers.展开更多
<strong>Background:</strong> Maternal emotional tie towards a foetus is a predictor of later maternal and child’s mental health. <strong>Methods:</strong> A questionnaire survey was conducted ...<strong>Background:</strong> Maternal emotional tie towards a foetus is a predictor of later maternal and child’s mental health. <strong>Methods:</strong> A questionnaire survey was conducted among 539 first trimester women. It included the Prenatal Attachment Inventory (PAI), Relationship Questionnaire (RQ), and Edinburgh Postnatal Depression Scale (EPDS). The factor structure models derived from exploratory factor analyses were compared by confirmatory factor analyses. <strong>Results:</strong> A three-factor bifactor model of the PAI was bet fit to the data. The omega coefficients and explained common variance suggested that the influences of three group factors were not negligible. The scores of the three subscales (derived from the three factors) were differently associated with age, gestation week, and adult attachment styles (derived from RQ). They were, however, not correlated with the EPDS scores. <strong>Conclusion:</strong> The PAI has a model of three groups and one general factor with an excellent fit to the data. The three subscales have construct validity too.展开更多
There are many factors that affect college students’English learning.In order to help college students learn English effectively,we need to analyze the corresponding factors.This paper mainly analyzes the emotional f...There are many factors that affect college students’English learning.In order to help college students learn English effectively,we need to analyze the corresponding factors.This paper mainly analyzes the emotional factors of college students’English learning from the perspective of psycholinguistics,and actively explores the corresponding solutions,so as to promote the improvement of college students’English learning ability of China.展开更多
The COVID-19 pandemic has become one of the severe diseases in recent years.As it majorly affects the common livelihood of people across the universe,it is essential for administrators and healthcare professionals to ...The COVID-19 pandemic has become one of the severe diseases in recent years.As it majorly affects the common livelihood of people across the universe,it is essential for administrators and healthcare professionals to be aware of the views of the community so as to monitor the severity of the spread of the outbreak.The public opinions are been shared enormously in microblogging med-ia like twitter and is considered as one of the popular sources to collect public opinions in any topic like politics,sports,entertainment etc.,This work presents a combination of Intensity Based Emotion Classification Convolution Neural Net-work(IBEC-CNN)model and Non-negative Matrix Factorization(NMF)for detecting and analyzing the different topics discussed in the COVID-19 tweets as well the intensity of the emotional content of those tweets.The topics were identified using NMF and the emotions are classified using pretrained IBEC-CNN,based on predefined intensity scores.The research aimed at identifying the emotions in the Indian tweets related to COVID-19 and producing a list of topics discussed by the users during the COVID-19 pandemic.Using the Twitter Application Programming Interface(Twitter API),huge numbers of COVID-19 tweets are retrieved during January and July 2020.The extracted tweets are ana-lyzed for emotions fear,joy,sadness and trust with proposed Intensity Based Emotion Classification Convolution Neural Network(IBEC-CNN)model which is pretrained.The classified tweets are given an intensity score varies from 1 to 3,with 1 being low intensity for the emotion,2 being the moderate and 3 being the high intensity.To identify the topics in the tweets and the themes of those topics,Non-negative Matrix Factorization(NMF)has been employed.Analysis of emotions of COVID-19 tweets has identified,that the count of positive tweets is more than that of count of negative tweets during the period considered and the negative tweets related to COVID-19 is less than 5%.Also,more than 75%nega-tive tweets expressed sadness,fear are of low intensity.A qualitative analysis has also been conducted and the topics detected are grouped into themes such as eco-nomic impacts,case reports,treatments,entertainment and vaccination.The results of analysis show that the issues related to the pandemic are expressed dif-ferent emotions in twitter which helps in interpreting the public insights during the pandemic and these results are beneficial for planning the dissemination of factual health statistics to build the trust of the people.The performance comparison shows that the proposed IBEC-CNN model outperforms the conventional models and achieved 83.71%accuracy.The%of COVID-19 tweets that discussed the different topics vary from 7.45%to 26.43%on topics economy,Statistics on cases,Government/Politics,Entertainment,Lockdown,Treatments and Virtual Events.The least number of tweets discussed on politics/government on the other hand the tweets discussed most about treatments.展开更多
本技术报告基于中国济南参加2023年社会与情感能力(Survey on Social and Emotional Skills,SSES)的测评数据,对第二轮测评工具在中国文化下的心理测量学特征进行分析。本报告简要介绍了学生问卷的开发和实施过程、社会与情感能力指标...本技术报告基于中国济南参加2023年社会与情感能力(Survey on Social and Emotional Skills,SSES)的测评数据,对第二轮测评工具在中国文化下的心理测量学特征进行分析。本报告简要介绍了学生问卷的开发和实施过程、社会与情感能力指标体系、问卷主要组成部分、数据集的主要内容,并对数据质量进行了分析。分析结果表明,济南参试学生参试态度认真积极,参试率和有效应答率高,但是10岁组产生了高分翘尾现象;采用ω系数和α系数来衡量分量表的信度,结果表明绝大多数分量表信度良好;运用验证性因子分析逐一检验社会与情感能力各个分量表的效度,发现拟合度较为满意;多组验证性因子分析表明,这些分量表跨性别测量等值性好于跨年龄组等值性,故在考察青少年社会与情感子能力的年龄差异时,对于等值性较差的分量表数据应慎重使用。展开更多
目的调查上海市社区老年人孤独感现状,并分别从社交孤独和情感孤独两个维度对影响老年人孤独感的因素进行探究。方法采用横断面研究,在2021年3—6月于上海市浦东新区、黄浦区、静安区3个区对65岁及以上的社区老年人进行问卷调查。依照...目的调查上海市社区老年人孤独感现状,并分别从社交孤独和情感孤独两个维度对影响老年人孤独感的因素进行探究。方法采用横断面研究,在2021年3—6月于上海市浦东新区、黄浦区、静安区3个区对65岁及以上的社区老年人进行问卷调查。依照上海市居民年龄、性别比例,浦东新区采用多阶段、分层随机抽样,黄浦区及静安区采用方便抽样。最终纳入研究对象635人。采用De Jong Gierveld孤独感量表测定老年人孤独感,包括社交孤独和情感孤独2个维度。使用Logistic回归模型对社交孤独和情感孤独的影响因素进行分析。结果在635位社区老年人中,仅有53位(8.4%)老年人报告不孤独。女性(OR=0.46,95%CI:0.31~0.70)、较高的自我效能得分(OR=0.97,95%CI:0.94~1.00)、较高的社会支持总分(OR=0.96,95%CI:0.93~0.99)与较低的社交孤独显著相关。较高的受教育水平(初高中或中专,OR=0.56,95%CI:0.34~0.95;大学及以上,OR=0.30,95%CI:0.11~0.83)、较高的自我效能得分(OR=0.96,95%CI:0.93~0.99)与较低的情感孤独显著相关,而较低的社会资本(OR=2.02,95%CI:1.29~3.16)及有抑郁症状(OR=3.41,95%CI:1.76~6.60)则与较高的情感孤独显著相关。结论调查样本中高达91.6%的老年人存在中度及以上的孤独感。社交孤独可能的影响因素为自我效能、性别及社会支持;情感孤独可能的影响因素为自我效能、受教育水平、抑郁和社会资本。展开更多
文摘Adolescents are considered one of the most vulnerable groups affected by suicide.Rapid changes in adolescents’physical and mental states,as well as in their lives,significantly and undeniably increase the risk of suicide.Psychological,social,family,individual,and environmental factors are important risk factors for suicidal behavior among teenagers and may contribute to suicide risk through various direct,indirect,or combined pathways.Social-emotional learning is considered a powerful intervention measure for addressing the crisis of adolescent suicide.When deliberately cultivated,fostered,and enhanced,selfawareness,self-management,social awareness,interpersonal skills,and responsible decision-making,as the five core competencies of social-emotional learning,can be used to effectively target various risk factors for adolescent suicide and provide necessary mental and interpersonal support.Among numerous suicide intervention methods,school-based interventions based on social-emotional competence have shown great potential in preventing and addressing suicide risk factors in adolescents.The characteristics of school-based interventions based on social-emotional competence,including their appropriateness,necessity,cost-effectiveness,comprehensiveness,and effectiveness,make these interventions an important means of addressing the crisis of adolescent suicide.To further determine the potential of school-based interventions based on social-emotional competence and better address the issue of adolescent suicide,additional financial support should be provided,the combination of socialemotional learning and other suicide prevention programs within schools should be fully leveraged,and cooperation between schools and families,society,and other environments should be maximized.These efforts should be considered future research directions.
文摘BACKGROUND Delirium is a neuropsychiatric syndrome characterized by acute disturbances of consciousness with rapid onset,rapid progression,obvious fluctuations,and preventable,reversible,and other characteristics.Patients with delirium in the intensive care unit(ICU)are often missed or misdiagnosed and do not receive adequate attention.AIM To analyze the risk factors for delirium in ICU patients and explore the applica-tion of emotional nursing with pain nursing in the management of delirium.METHODS General data of 301 critically ill patients were retrospectively collected,including histories(cardiovascular and cerebrovascular diseases,hypertension,smoking,alcoholism,and diabetes),age,sex,diagnosis,whether surgery was performed,and patient origin(emergency/clinic).Additionally,the duration of sedation,Richmond Agitation Sedation Scale score,combined emotional and pain care,ven-tilator use duration,vasoactive drug use,drainage tube retention,ICU stay du-ration,C-reactive protein,procalcitonin,white blood cell count,body tempe-rature,Acute Physiology and Chronic Health Evaluation II(APACHE II)score,and Sequential Organ Failure Assessment score were recorded within 24 h after ICU admission.Patients were assessed for delirium according to confusion assessment method for the ICU,and univariate and multivariate logistic regre-ssion analyses were performed to identify the risk factors for delirium in the patients.RESULTS Univariate logistic regression analysis was performed on the 24 potential risk factors associated with delirium in ICU patients.The results showed that 16 risk factors were closely related to delirium,including combined emotional and pain care,history of diabetes,and patient origin.Multivariate logistic regression analysis revealed that no combined emotional and pain care,history of diabetes,emergency source,surgery,long stay in the ICU,smoking history,and high APACHE II score were independent risk factors for de-lirium in ICU patients.CONCLUSION Patients with diabetes and/or smoking history,postoperative patients,patients with a high APACHE II score,and those with emergency ICU admission need emotional and pain care,flexible visiting modes,and early intervention to reduce delirium incidence.
基金Supported by Medical Health Science and Technology Project of Huzhou City,No.2021GY01.
文摘BACKGROUND It is positive to integrate and evaluate the risk factors for postpartum depression in patients with pregnancy-induced hypertension syndrome and to detect highrisk patients as early as possible,which has application value for the clinical development of personalized prevention programs and prognosis of patients.AIM To analyze factors related to postpartum depression in patients with pregnancyinduced hypertension and construct and evaluate a nomogram model.METHODS The clinical data of 276 patients with pregnancy-induced hypertension admitted to Huzhou Maternity and Child Health Care Hospital between January 2017 and April 2022 were retrospectively analyzed.We evaluated the depression incidence at 6 wk postpartum.The depression group included patients with postpartum depression,and the remainder were in the non-depression group.Multivariate logistic regression analysis and the LASSO regression model were applied to analyze the factors related to postpartum depression in patients with pregnancyinduced hypertension.After that,a risk prediction model nomogram was constructed and evaluated.RESULTS Multivariate logistic regression analysis showed that vitamin A deficiency(VAD)during pregnancy and puerperium,family history of hypertension,maternal intestinal flora imbalance,eicosapentaenoic acid(EPA),and docosahexaenoic acid(DHA)were independent risk factors for postpartum depression in patients with pregnancy-induced hypertension(P<0.05).We constructed the nomogram model based on these five risk factors.The area under the curve,specificity,and sensitivity of the model in predicting postpartum depression in patients with pregnancy-induced hypertension was 0.867(95%confidence interval:0.828–0.935),0.676,and 0.889,respectively.The average absolute error was 0.037(Hosmer-Lemeshow testχ2=10.739,P=0.217).CONCLUSION VAD during pregnancy and puerperium,family history of hypertension,maternal intestinal flora imbalance,EPA,and DHA affect postpartum depression in patients with pregnancy-induced hypertension.
基金supported by Nanjing Normal University’s New Liberal Arts Research and Reform Project in 2021.
文摘The adequacy of language education largely depends on the favorable and unfavorable emotions that teachers and students experience throughout the education process.Simply said,emotional factors play a key role in improving the quality of language teaching and learning.Furthermore,these emotional factors also promote the well-being of language teachers and learners and place them in a suitable mental condition.In view of the favorable impact of emotional factors on the mental health of language teachers and learners,many educational scholars around the world have studied these factors,their background,and their pedagogical consequences.Nonetheless,the majority of previous studies have employed traditional research methods in assessing these variables and their influences on language teachers’and learners’mental health.Because of the complex and dynamic quality of emotional factors,traditional research approaches often fail to evaluate these factors and their dynamic,non-linear connections with teachers’and learners’mental health and well-being.Accordingly,some novel research approaches are required to measure the dynamicity and complexity of emotional factors in language education settings.To address this call,the current state-of-the-art conceptual article seeks to provide new insights for investigating emotional factors and their potential impact on language teachers’and learners’mental states.This study also intends to offer a comprehensive list of emerging methods that take into account the complex and dynamic nature of emotional variables.Finally,the study outlines the potential implications of this review for educational researchers.
文摘<strong>Background:</strong> Maternal emotional tie towards a foetus is a predictor of later maternal and child’s mental health. <strong>Methods:</strong> A questionnaire survey was conducted among 539 first trimester women. It included the Prenatal Attachment Inventory (PAI), Relationship Questionnaire (RQ), and Edinburgh Postnatal Depression Scale (EPDS). The factor structure models derived from exploratory factor analyses were compared by confirmatory factor analyses. <strong>Results:</strong> A three-factor bifactor model of the PAI was bet fit to the data. The omega coefficients and explained common variance suggested that the influences of three group factors were not negligible. The scores of the three subscales (derived from the three factors) were differently associated with age, gestation week, and adult attachment styles (derived from RQ). They were, however, not correlated with the EPDS scores. <strong>Conclusion:</strong> The PAI has a model of three groups and one general factor with an excellent fit to the data. The three subscales have construct validity too.
文摘There are many factors that affect college students’English learning.In order to help college students learn English effectively,we need to analyze the corresponding factors.This paper mainly analyzes the emotional factors of college students’English learning from the perspective of psycholinguistics,and actively explores the corresponding solutions,so as to promote the improvement of college students’English learning ability of China.
文摘The COVID-19 pandemic has become one of the severe diseases in recent years.As it majorly affects the common livelihood of people across the universe,it is essential for administrators and healthcare professionals to be aware of the views of the community so as to monitor the severity of the spread of the outbreak.The public opinions are been shared enormously in microblogging med-ia like twitter and is considered as one of the popular sources to collect public opinions in any topic like politics,sports,entertainment etc.,This work presents a combination of Intensity Based Emotion Classification Convolution Neural Net-work(IBEC-CNN)model and Non-negative Matrix Factorization(NMF)for detecting and analyzing the different topics discussed in the COVID-19 tweets as well the intensity of the emotional content of those tweets.The topics were identified using NMF and the emotions are classified using pretrained IBEC-CNN,based on predefined intensity scores.The research aimed at identifying the emotions in the Indian tweets related to COVID-19 and producing a list of topics discussed by the users during the COVID-19 pandemic.Using the Twitter Application Programming Interface(Twitter API),huge numbers of COVID-19 tweets are retrieved during January and July 2020.The extracted tweets are ana-lyzed for emotions fear,joy,sadness and trust with proposed Intensity Based Emotion Classification Convolution Neural Network(IBEC-CNN)model which is pretrained.The classified tweets are given an intensity score varies from 1 to 3,with 1 being low intensity for the emotion,2 being the moderate and 3 being the high intensity.To identify the topics in the tweets and the themes of those topics,Non-negative Matrix Factorization(NMF)has been employed.Analysis of emotions of COVID-19 tweets has identified,that the count of positive tweets is more than that of count of negative tweets during the period considered and the negative tweets related to COVID-19 is less than 5%.Also,more than 75%nega-tive tweets expressed sadness,fear are of low intensity.A qualitative analysis has also been conducted and the topics detected are grouped into themes such as eco-nomic impacts,case reports,treatments,entertainment and vaccination.The results of analysis show that the issues related to the pandemic are expressed dif-ferent emotions in twitter which helps in interpreting the public insights during the pandemic and these results are beneficial for planning the dissemination of factual health statistics to build the trust of the people.The performance comparison shows that the proposed IBEC-CNN model outperforms the conventional models and achieved 83.71%accuracy.The%of COVID-19 tweets that discussed the different topics vary from 7.45%to 26.43%on topics economy,Statistics on cases,Government/Politics,Entertainment,Lockdown,Treatments and Virtual Events.The least number of tweets discussed on politics/government on the other hand the tweets discussed most about treatments.
文摘本技术报告基于中国济南参加2023年社会与情感能力(Survey on Social and Emotional Skills,SSES)的测评数据,对第二轮测评工具在中国文化下的心理测量学特征进行分析。本报告简要介绍了学生问卷的开发和实施过程、社会与情感能力指标体系、问卷主要组成部分、数据集的主要内容,并对数据质量进行了分析。分析结果表明,济南参试学生参试态度认真积极,参试率和有效应答率高,但是10岁组产生了高分翘尾现象;采用ω系数和α系数来衡量分量表的信度,结果表明绝大多数分量表信度良好;运用验证性因子分析逐一检验社会与情感能力各个分量表的效度,发现拟合度较为满意;多组验证性因子分析表明,这些分量表跨性别测量等值性好于跨年龄组等值性,故在考察青少年社会与情感子能力的年龄差异时,对于等值性较差的分量表数据应慎重使用。
文摘目的调查上海市社区老年人孤独感现状,并分别从社交孤独和情感孤独两个维度对影响老年人孤独感的因素进行探究。方法采用横断面研究,在2021年3—6月于上海市浦东新区、黄浦区、静安区3个区对65岁及以上的社区老年人进行问卷调查。依照上海市居民年龄、性别比例,浦东新区采用多阶段、分层随机抽样,黄浦区及静安区采用方便抽样。最终纳入研究对象635人。采用De Jong Gierveld孤独感量表测定老年人孤独感,包括社交孤独和情感孤独2个维度。使用Logistic回归模型对社交孤独和情感孤独的影响因素进行分析。结果在635位社区老年人中,仅有53位(8.4%)老年人报告不孤独。女性(OR=0.46,95%CI:0.31~0.70)、较高的自我效能得分(OR=0.97,95%CI:0.94~1.00)、较高的社会支持总分(OR=0.96,95%CI:0.93~0.99)与较低的社交孤独显著相关。较高的受教育水平(初高中或中专,OR=0.56,95%CI:0.34~0.95;大学及以上,OR=0.30,95%CI:0.11~0.83)、较高的自我效能得分(OR=0.96,95%CI:0.93~0.99)与较低的情感孤独显著相关,而较低的社会资本(OR=2.02,95%CI:1.29~3.16)及有抑郁症状(OR=3.41,95%CI:1.76~6.60)则与较高的情感孤独显著相关。结论调查样本中高达91.6%的老年人存在中度及以上的孤独感。社交孤独可能的影响因素为自我效能、性别及社会支持;情感孤独可能的影响因素为自我效能、受教育水平、抑郁和社会资本。
