首页 > 最新文献

AIMS Public Health最新文献

英文 中文
Discriminating insulin resistance in middle-aged nondiabetic women using machine learning approaches. 利用机器学习方法判别中年非糖尿病妇女的胰岛素抵抗。
IF 3.1 Q2 HEALTH CARE SCIENCES & SERVICES Pub Date : 2024-05-09 eCollection Date: 2024-01-01 DOI: 10.3934/publichealth.2024034
Zailing Xing, Henian Chen, Amy C Alman

Objective: We employed machine learning algorithms to discriminate insulin resistance (IR) in middle-aged nondiabetic women.

Methods: The data was from the National Health and Nutrition Examination Survey (2007-2018). The study subjects were 2084 nondiabetic women aged 45-64. The analysis included 48 predictors. We randomly divided the data into training (n = 1667) and testing (n = 417) datasets. Four machine learning techniques were employed to discriminate IR: extreme gradient boosting (XGBoosting), random forest (RF), gradient boosting machine (GBM), and decision tree (DT). The area under the curve (AUC) of receiver operating characteristic (ROC), accuracy, sensitivity, specificity, positive predictive value, negative predictive value, and F1 score were compared as performance metrics to select the optimal technique.

Results: The XGBoosting algorithm achieved a relatively high AUC of 0.93 in the training dataset and 0.86 in the testing dataset to discriminate IR using 48 predictors and was followed by the RF, GBM, and DT models. After selecting the top five predictors to build models, the XGBoost algorithm with the AUC of 0.90 (training dataset) and 0.86 (testing dataset) remained the optimal prediction model. The SHapley Additive exPlanations (SHAP) values revealed the associations between the five predictors and IR, namely BMI (strongly positive impact on IR), fasting glucose (strongly positive), HDL-C (medium negative), triglycerides (medium positive), and glycohemoglobin (medium positive). The threshold values for identifying IR were 29 kg/m2, 100 mg/dL, 54.5 mg/dL, 89 mg/dL, and 5.6% for BMI, glucose, HDL-C, triglycerides, and glycohemoglobin, respectively.

Conclusion: The XGBoosting algorithm demonstrated superior performance metrics for discriminating IR in middle-aged nondiabetic women, with BMI, glucose, HDL-C, glycohemoglobin, and triglycerides as the top five predictors.

目的:我们采用机器学习算法来判别非糖尿病中年女性的胰岛素抵抗(IR):我们采用机器学习算法来判别中年非糖尿病女性的胰岛素抵抗(IR):数据来自美国国家健康与营养调查(2007-2018 年)。研究对象为 2084 名 45-64 岁的非糖尿病女性。分析包括 48 个预测因子。我们将数据随机分为训练数据集(n = 1667)和测试数据集(n = 417)。我们采用了四种机器学习技术来判别 IR:极端梯度提升(XGBoosting)、随机森林(RF)、梯度提升机(GBM)和决策树(DT)。比较了接收者操作特征曲线下面积(AUC)、准确率、灵敏度、特异性、阳性预测值、阴性预测值和 F1 分数等性能指标,以选择最佳技术:XGBoosting算法使用48个预测因子对IR进行判别,在训练数据集和测试数据集上的AUC分别达到了0.93和0.86,相对较高,其次是RF、GBM和DT模型。在选择前五个预测因子建立模型后,XGBoost 算法的 AUC 为 0.90(训练数据集)和 0.86(测试数据集),仍然是最佳预测模型。SHapley Additive exPlanations(SHAP)值揭示了五个预测因子与 IR 之间的关联,即体重指数(对 IR 有强烈的正向影响)、空腹血糖(强烈的正向影响)、高密度脂蛋白胆固醇(中度负向影响)、甘油三酯(中度正向影响)和糖化血红蛋白(中度正向影响)。BMI、血糖、HDL-C、甘油三酯和糖化血红蛋白识别 IR 的阈值分别为 29 kg/m2、100 mg/dL、54.5 mg/dL、89 mg/dL 和 5.6%:XGBoosting算法在判别中年非糖尿病女性的红外方面表现出卓越的性能指标,BMI、血糖、HDL-C、甘油三酯和甘油三酯是前五大预测指标。
{"title":"Discriminating insulin resistance in middle-aged nondiabetic women using machine learning approaches.","authors":"Zailing Xing, Henian Chen, Amy C Alman","doi":"10.3934/publichealth.2024034","DOIUrl":"10.3934/publichealth.2024034","url":null,"abstract":"<p><strong>Objective: </strong>We employed machine learning algorithms to discriminate insulin resistance (IR) in middle-aged nondiabetic women.</p><p><strong>Methods: </strong>The data was from the National Health and Nutrition Examination Survey (2007-2018). The study subjects were 2084 nondiabetic women aged 45-64. The analysis included 48 predictors. We randomly divided the data into training (n = 1667) and testing (n = 417) datasets. Four machine learning techniques were employed to discriminate IR: extreme gradient boosting (XGBoosting), random forest (RF), gradient boosting machine (GBM), and decision tree (DT). The area under the curve (AUC) of receiver operating characteristic (ROC), accuracy, sensitivity, specificity, positive predictive value, negative predictive value, and F1 score were compared as performance metrics to select the optimal technique.</p><p><strong>Results: </strong>The XGBoosting algorithm achieved a relatively high AUC of 0.93 in the training dataset and 0.86 in the testing dataset to discriminate IR using 48 predictors and was followed by the RF, GBM, and DT models. After selecting the top five predictors to build models, the XGBoost algorithm with the AUC of 0.90 (training dataset) and 0.86 (testing dataset) remained the optimal prediction model. The SHapley Additive exPlanations (SHAP) values revealed the associations between the five predictors and IR, namely BMI (strongly positive impact on IR), fasting glucose (strongly positive), HDL-C (medium negative), triglycerides (medium positive), and glycohemoglobin (medium positive). The threshold values for identifying IR were 29 kg/m<sup>2</sup>, 100 mg/dL, 54.5 mg/dL, 89 mg/dL, and 5.6% for BMI, glucose, HDL-C, triglycerides, and glycohemoglobin, respectively.</p><p><strong>Conclusion: </strong>The XGBoosting algorithm demonstrated superior performance metrics for discriminating IR in middle-aged nondiabetic women, with BMI, glucose, HDL-C, glycohemoglobin, and triglycerides as the top five predictors.</p>","PeriodicalId":45684,"journal":{"name":"AIMS Public Health","volume":"11 2","pages":"667-687"},"PeriodicalIF":3.1,"publicationDate":"2024-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11252584/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141724643","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A systematic review of the literature: Gender-based violence in the construction and natural resources industry. 文献系统回顾:建筑和自然资源行业中的性别暴力。
IF 3.1 Q2 HEALTH CARE SCIENCES & SERVICES Pub Date : 2024-05-08 eCollection Date: 2024-01-01 DOI: 10.3934/publichealth.2024033
Joyce Lo, Sharan Jaswal, Matthew Yeung, Vijay Kumar Chattu, Ali Bani-Fatemi, Aaron Howe, Amin Yazdani, Basem Gohar, Douglas P Gross, Behdin Nowrouzi-Kia

Gender-based violence (GBV) poses a significant concern in the construction and natural resources industries, where women, due to lower social status and integration, are at heightened risk. This systematic review aimed to identify the prevalence and experience of GBV in the construction and natural resources industries. A systematic search across databases including PubMed, OVID, Scopus, Web of Science, and CINAHL was conducted. The Risk of Bias Instrument for Cross-sectional Surveys of Attitudes and Practices by McMaster University and the Critical Appraisal of Qualitative Studies by the Center for Evidence Based Medicine at the University of Oxford were used to assess the studies included in the review. Six articles were included after full-text analysis. GBV was reported in the construction, mining, urban forestry, and arboriculture sectors. Workplace GBV was measured differently across the studies, and all studies examined more than one form of GBV. The main forms of GBV discussed in these studies were discrimination, sexual harassment, and sexism. The studies provided some insight for demographic factors that may or may not be associated with GBV, such as age, region of work, and number of years working in the industry. The review also suggests that workplace GBV has a negative impact on mental health and well-being outcomes, such as higher levels of stress and lower job satisfaction. The current research has not established the effectiveness of interventions, tools, or policies in these workplaces. Thus, additional research should include intervention studies that aim to minimize or prevent GBV in male-dominated workplaces. The current study can bring awareness and acknowledgement towards GBV in the workplace and highlight the importance of addressing it as this review outlines the negative consequences of GBV on mental health and well-being in these male-dominated industries.

基于性别的暴力(GBV)是建筑和自然资源行业的一个重大问题,在这些行业中,由于妇女的社会地位和融入程度较低,她们面临的风险更大。本系统性综述旨在确定 GBV 在建筑和自然资源行业中的流行程度和经历。我们在 PubMed、OVID、Scopus、Web of Science 和 CINAHL 等数据库中进行了系统性检索。采用麦克马斯特大学(McMaster University)的 "态度与实践横断面调查偏差风险工具 "和牛津大学循证医学中心(Center for Evidence Based Medicine)的 "定性研究批判性评估 "对纳入综述的研究进行评估。经过全文分析,共纳入六篇文章。据报道,GBV 发生在建筑、采矿、城市林业和树木栽培等行业。不同研究对工作场所基于性别的暴力的衡量标准不同,所有研究都对一种以上的基于性别的暴力形式进行了研究。这些研究中讨论的基于性别的暴力的主要形式是歧视、性骚扰和性别歧视。这些研究对可能与基于性别的暴力有关或无关的人口统计因素提供了一些见解,如年龄、工作地区和在该行业工作的年数。综述还表明,工作场所性别暴力会对心理健康和幸福感产生负面影响,如更大的压力和更低的工作满意度。目前的研究尚未确定这些工作场所的干预措施、工具或政策的有效性。因此,更多的研究应包括旨在尽量减少或预防男性主导的工作场所中的性别暴力的干预研究。当前的研究可以提高人们对工作场所中性别暴力的认识和认可,并强调解决这一问题的重要性,因为本综述概述了性别暴力在这些男性主导的行业中对心理健康和幸福感造成的负面影响。
{"title":"A systematic review of the literature: Gender-based violence in the construction and natural resources industry.","authors":"Joyce Lo, Sharan Jaswal, Matthew Yeung, Vijay Kumar Chattu, Ali Bani-Fatemi, Aaron Howe, Amin Yazdani, Basem Gohar, Douglas P Gross, Behdin Nowrouzi-Kia","doi":"10.3934/publichealth.2024033","DOIUrl":"10.3934/publichealth.2024033","url":null,"abstract":"<p><p>Gender-based violence (GBV) poses a significant concern in the construction and natural resources industries, where women, due to lower social status and integration, are at heightened risk. This systematic review aimed to identify the prevalence and experience of GBV in the construction and natural resources industries. A systematic search across databases including PubMed, OVID, Scopus, Web of Science, and CINAHL was conducted. The <i>Risk of Bias Instrument for Cross-sectional Surveys of Attitudes and Practices</i> by McMaster University and the <i>Critical Appraisal of Qualitative Studies</i> by the Center for Evidence Based Medicine at the University of Oxford were used to assess the studies included in the review. Six articles were included after full-text analysis. GBV was reported in the construction, mining, urban forestry, and arboriculture sectors. Workplace GBV was measured differently across the studies, and all studies examined more than one form of GBV. The main forms of GBV discussed in these studies were discrimination, sexual harassment, and sexism. The studies provided some insight for demographic factors that may or may not be associated with GBV, such as age, region of work, and number of years working in the industry. The review also suggests that workplace GBV has a negative impact on mental health and well-being outcomes, such as higher levels of stress and lower job satisfaction. The current research has not established the effectiveness of interventions, tools, or policies in these workplaces. Thus, additional research should include intervention studies that aim to minimize or prevent GBV in male-dominated workplaces. The current study can bring awareness and acknowledgement towards GBV in the workplace and highlight the importance of addressing it as this review outlines the negative consequences of GBV on mental health and well-being in these male-dominated industries.</p>","PeriodicalId":45684,"journal":{"name":"AIMS Public Health","volume":"11 2","pages":"654-666"},"PeriodicalIF":3.1,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11252573/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141724638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
On mathematical modelling of measles disease via collocation approach. 通过搭配法建立麻疹疾病的数学模型。
IF 3.1 Q2 HEALTH CARE SCIENCES & SERVICES Pub Date : 2024-05-06 eCollection Date: 2024-01-01 DOI: 10.3934/publichealth.2024032
Shahid Ahmed, Shah Jahan, Kamal Shah, Thabet Abdeljawad

Measles, a highly contagious viral disease, spreads primarily through respiratory droplets and can result in severe complications, often proving fatal, especially in children. In this article, we propose an algorithm to solve a system of fractional nonlinear equations that model the measles disease. We employ a fractional approach by using the Caputo operator and validate the model's by applying the Schauder and Banach fixed-point theory. The fractional derivatives, which constitute an essential part of the model can be treated precisely by using the Broyden and Haar wavelet collocation methods (HWCM). Furthermore, we evaluate the system's stability by implementing the Ulam-Hyers approach. The model takes into account multiple factors that influence virus transmission, and the HWCM offers an effective and precise solution for understanding insights into transmission dynamics through the use of fractional derivatives. We present the graphical results, which offer a comprehensive and invaluable perspective on how various parameters and fractional orders influence the behaviours of these compartments within the model. The study emphasizes the importance of modern techniques in understanding measles outbreaks, suggesting the methodology's applicability to various mathematical models. Simulations conducted by using MATLAB R2022a software demonstrate practical implementation, with the potential for extension to higher degrees with minor modifications. The simulation's findings clearly show the efficiency of the proposed approach and its application to further extend the field of mathematical modelling for infectious illnesses.

麻疹是一种传染性极强的病毒性疾病,主要通过呼吸道飞沫传播,可导致严重的并发症,尤其是对儿童而言,往往是致命的。在本文中,我们提出了一种解决麻疹疾病模型分式非线性方程组的算法。我们通过使用卡普托算子来采用分式方法,并应用 Schauder 和 Banach 定点理论来验证模型。分式导数是模型的重要组成部分,可通过布洛伊登和哈小波配位法(HWCM)精确处理。此外,我们还采用了 Ulam-Hyers 方法来评估系统的稳定性。该模型考虑了影响病毒传播的多种因素,HWCM 提供了一种有效而精确的解决方案,通过使用分数导数来深入了解传播动态。我们展示了图形结果,这些结果提供了一个全面而宝贵的视角,让我们了解各种参数和分数阶数如何影响模型中这些分区的行为。这项研究强调了现代技术在理解麻疹爆发方面的重要性,表明该方法适用于各种数学模型。使用 MATLAB R2022a 软件进行的模拟证明了该方法的实用性,并有可能在稍作修改后扩展到更高的程度。模拟结果清楚地表明了所提方法的效率及其在进一步扩展传染病数学建模领域的应用。
{"title":"On mathematical modelling of measles disease via collocation approach.","authors":"Shahid Ahmed, Shah Jahan, Kamal Shah, Thabet Abdeljawad","doi":"10.3934/publichealth.2024032","DOIUrl":"10.3934/publichealth.2024032","url":null,"abstract":"<p><p>Measles, a highly contagious viral disease, spreads primarily through respiratory droplets and can result in severe complications, often proving fatal, especially in children. In this article, we propose an algorithm to solve a system of fractional nonlinear equations that model the measles disease. We employ a fractional approach by using the Caputo operator and validate the model's by applying the Schauder and Banach fixed-point theory. The fractional derivatives, which constitute an essential part of the model can be treated precisely by using the Broyden and Haar wavelet collocation methods (HWCM). Furthermore, we evaluate the system's stability by implementing the Ulam-Hyers approach. The model takes into account multiple factors that influence virus transmission, and the HWCM offers an effective and precise solution for understanding insights into transmission dynamics through the use of fractional derivatives. We present the graphical results, which offer a comprehensive and invaluable perspective on how various parameters and fractional orders influence the behaviours of these compartments within the model. The study emphasizes the importance of modern techniques in understanding measles outbreaks, suggesting the methodology's applicability to various mathematical models. Simulations conducted by using MATLAB R2022a software demonstrate practical implementation, with the potential for extension to higher degrees with minor modifications. The simulation's findings clearly show the efficiency of the proposed approach and its application to further extend the field of mathematical modelling for infectious illnesses.</p>","PeriodicalId":45684,"journal":{"name":"AIMS Public Health","volume":"11 2","pages":"628-653"},"PeriodicalIF":3.1,"publicationDate":"2024-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11252575/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141724679","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Impact of workplace bullying on job burnout and turnover intention among nursing staff in Greece: Evidence after the COVID-19 pandemic. 工作场所欺凌对希腊护理人员工作倦怠和离职意向的影响:COVID-19 大流行后的证据。
IF 3.1 Q2 HEALTH CARE SCIENCES & SERVICES Pub Date : 2024-04-29 eCollection Date: 2024-01-01 DOI: 10.3934/publichealth.2024031
Petros Galanis, Ioannis Moisoglou, Aglaia Katsiroumpa, Panayota Sourtzi

Introduction: The prevalence of workplace bullying, job burnout, and turnover intention among nursing staff increased during the COVID-19 pandemic. However, to the best of our knowledge, there are no studies that have measured the relationships among variables of interest after the pandemic.

Objective: Our intention is to investigate the effect of workplace bullying on job burnout and turnover intention in nursing staff.

Methods: We conducted a cross-sectional study during January-February 2024 in Greece. We obtained a convenience sample of 450 nurses. We used the 22-item Negative Acts Questionnaire-Revised to assess workplace bullying. We measured job burnout with the single-item burnout measure. We measured nurses' turnover intention with a valid 6-point Likert scale.

Results: The study sample included 450 nurses with the mean age of 39.1 years (standard deviation [SD] = 10.2). The mean workplace bullying score was 7.7 (SD = 2.0), while the mean job burnout score was 7.7 (SD = 2.0). Among our nurses, 57.3% showed a high level of turnover intention. After eliminating confounders, we found that increased workplace bullying (adjusted beta = 0.031, 95% confidence interval [CI] = 0.023 to 0.039, p < 0.001) was associated with increased job burnout. Moreover, multivariable logistic regression analysis showed that increased turnover intention was more common among nurses who experienced higher levels of workplace bullying (adjusted odds ratio = 1.057, 95% CI = 1.043 to 1.071, p < 0.001).

Conclusion: We found a positive relationship between workplace bullying, job burnout, and turnover intention. Nurse managers, organizations, and policy-makers ought to consider such findings to intervene and decrease workplace bullying by improving working conditions.

简介在 COVID-19 大流行期间,护理人员中工作场所欺凌、工作倦怠和离职意向的发生率有所上升。然而,据我们所知,目前还没有研究对大流行后相关变量之间的关系进行测量:我们的目的是调查工作场所欺凌对护理人员工作倦怠和离职意向的影响:我们于 2024 年 1 月至 2 月在希腊开展了一项横断面研究。我们获得了 450 名护士的便利样本。我们使用了由 22 个项目组成的《消极行为问卷-修订版》来评估工作场所欺凌。我们使用单项倦怠测量法测量工作倦怠。我们使用有效的 6 点李克特量表测量了护士的离职意向:研究样本包括 450 名护士,平均年龄为 39.1 岁(标准差 [SD] = 10.2)。工作场所欺凌的平均得分为 7.7(标准差 = 2.0),工作倦怠的平均得分为 7.7(标准差 = 2.0)。在我们的护士中,有 57.3% 的人表现出较高的离职意向。排除混杂因素后,我们发现工作场所欺凌的增加(调整后的贝塔值 = 0.031,95% 置信区间 [CI] = 0.023 至 0.039,p < 0.001)与工作倦怠的增加有关。此外,多变量逻辑回归分析表明,在经历过较高程度工作场所欺凌的护士中,离职意向增加的情况更为普遍(调整后的几率比 = 1.057,95% CI = 1.043 至 1.071,p < 0.001):我们发现工作场所欺凌、工作倦怠和离职意向之间存在正相关关系。护士管理者、组织和政策制定者应该考虑这些发现,通过改善工作条件来干预和减少工作场所欺凌。
{"title":"Impact of workplace bullying on job burnout and turnover intention among nursing staff in Greece: Evidence after the COVID-19 pandemic.","authors":"Petros Galanis, Ioannis Moisoglou, Aglaia Katsiroumpa, Panayota Sourtzi","doi":"10.3934/publichealth.2024031","DOIUrl":"10.3934/publichealth.2024031","url":null,"abstract":"<p><strong>Introduction: </strong>The prevalence of workplace bullying, job burnout, and turnover intention among nursing staff increased during the COVID-19 pandemic. However, to the best of our knowledge, there are no studies that have measured the relationships among variables of interest after the pandemic.</p><p><strong>Objective: </strong>Our intention is to investigate the effect of workplace bullying on job burnout and turnover intention in nursing staff.</p><p><strong>Methods: </strong>We conducted a cross-sectional study during January-February 2024 in Greece. We obtained a convenience sample of 450 nurses. We used the 22-item Negative Acts Questionnaire-Revised to assess workplace bullying. We measured job burnout with the single-item burnout measure. We measured nurses' turnover intention with a valid 6-point Likert scale.</p><p><strong>Results: </strong>The study sample included 450 nurses with the mean age of 39.1 years (standard deviation [<i>SD</i>] = 10.2). The mean workplace bullying score was 7.7 (<i>SD</i> = 2.0), while the mean job burnout score was 7.7 (<i>SD</i> = 2.0). Among our nurses, 57.3% showed a high level of turnover intention. After eliminating confounders, we found that increased workplace bullying (adjusted beta = 0.031, 95% confidence interval [<i>CI</i>] = 0.023 to 0.039, <i>p</i> < 0.001) was associated with increased job burnout. Moreover, multivariable logistic regression analysis showed that increased turnover intention was more common among nurses who experienced higher levels of workplace bullying (adjusted odds ratio = 1.057, 95% <i>CI</i> = 1.043 to 1.071, <i>p</i> < 0.001).</p><p><strong>Conclusion: </strong>We found a positive relationship between workplace bullying, job burnout, and turnover intention. Nurse managers, organizations, and policy-makers ought to consider such findings to intervene and decrease workplace bullying by improving working conditions.</p>","PeriodicalId":45684,"journal":{"name":"AIMS Public Health","volume":"11 2","pages":"614-627"},"PeriodicalIF":3.1,"publicationDate":"2024-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11252585/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141724676","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Emotional intelligence protects nurses against quiet quitting, turnover intention, and job burnout. 情商能保护护士避免默默辞职、离职意向和工作倦怠。
IF 3.1 Q2 HEALTH CARE SCIENCES & SERVICES Pub Date : 2024-04-25 eCollection Date: 2024-01-01 DOI: 10.3934/publichealth.2024030
Petros Galanis, Aglaia Katsiroumpa, Ioannis Moisoglou, Maria Kalogeropoulou, Parisis Gallos, Irene Vraka

Background: Emotional intelligence can improve nurses' interpersonal and coping skills, job performance, and resilience. However, there is a dearth in the literature on whether emotional intelligence affects levels of quiet quitting, turnover intention, and job burnout in nurses.

Objective: We examined the relationship between emotional intelligence, quiet quitting, turnover intention, and job burnout.

Methods: We conducted a cross-sectional study in Greece with a convenience sample of 992 nurses. We used the following valid tools to measure our study variables: the Trait Emotional Intelligence Questionnaire-Short Form, the Quiet Quitting Scale, and the single item burnout measure.

Results: The mean age of our nurses was 42.2 years. After controlling for gender, age, work experience, shift work, and understaffed department, the multivariable linear regression models indicated significant negative relationships between emotional intelligence and quiet quitting, turnover intention, and job burnout. Specifically, self-control reduced detachment, lack of motivation, job burnout, and turnover intention. Moreover, emotionality reduced detachment, lack of motivation, and lack of initiative. Sociability reduced lack of initiative and lack of motivation, while well-being reduced lack of motivation, job burnout, and turnover intention.

Conclusion: Emotional intelligence reduced quiet quitting, turnover intention, and job burnout in nurses. Therefore, nurse managers and policy-makers should apply interventions to optimize the emotional intelligence profiles of nurses.

背景情商可以提高护士的人际交往和应对技能、工作绩效和应变能力。然而,关于情商是否会影响护士的无声辞职、离职意向和工作倦怠程度的文献却很少:我们研究了情商、无声辞职、离职意向和工作倦怠之间的关系:我们在希腊进行了一项横断面研究,方便抽样调查了 992 名护士。我们使用了以下有效工具来测量研究变量:特质情绪智力问卷-简表、安静辞职量表和单项工作倦怠测量:护士的平均年龄为 42.2 岁。在控制了性别、年龄、工作经验、轮班工作和科室人员不足等因素后,多变量线性回归模型表明,情商与安静辞职、离职意向和工作倦怠之间存在显著的负相关。具体来说,自我控制减少了疏离感、缺乏动力、工作倦怠和离职意向。此外,情绪化降低了疏离感、缺乏动力和缺乏主动性。社交性减少了缺乏主动性和缺乏积极性,而幸福感则减少了缺乏积极性、工作倦怠和离职意向:结论:情商降低了护士的静默辞职、离职意向和工作倦怠感。因此,护士管理者和政策制定者应采取干预措施,优化护士的情商状况。
{"title":"Emotional intelligence protects nurses against quiet quitting, turnover intention, and job burnout.","authors":"Petros Galanis, Aglaia Katsiroumpa, Ioannis Moisoglou, Maria Kalogeropoulou, Parisis Gallos, Irene Vraka","doi":"10.3934/publichealth.2024030","DOIUrl":"10.3934/publichealth.2024030","url":null,"abstract":"<p><strong>Background: </strong>Emotional intelligence can improve nurses' interpersonal and coping skills, job performance, and resilience. However, there is a dearth in the literature on whether emotional intelligence affects levels of quiet quitting, turnover intention, and job burnout in nurses.</p><p><strong>Objective: </strong>We examined the relationship between emotional intelligence, quiet quitting, turnover intention, and job burnout.</p><p><strong>Methods: </strong>We conducted a cross-sectional study in Greece with a convenience sample of 992 nurses. We used the following valid tools to measure our study variables: the Trait Emotional Intelligence Questionnaire-Short Form, the Quiet Quitting Scale, and the single item burnout measure.</p><p><strong>Results: </strong>The mean age of our nurses was 42.2 years. After controlling for gender, age, work experience, shift work, and understaffed department, the multivariable linear regression models indicated significant negative relationships between emotional intelligence and quiet quitting, turnover intention, and job burnout. Specifically, self-control reduced detachment, lack of motivation, job burnout, and turnover intention. Moreover, emotionality reduced detachment, lack of motivation, and lack of initiative. Sociability reduced lack of initiative and lack of motivation, while well-being reduced lack of motivation, job burnout, and turnover intention.</p><p><strong>Conclusion: </strong>Emotional intelligence reduced quiet quitting, turnover intention, and job burnout in nurses. Therefore, nurse managers and policy-makers should apply interventions to optimize the emotional intelligence profiles of nurses.</p>","PeriodicalId":45684,"journal":{"name":"AIMS Public Health","volume":"11 2","pages":"601-613"},"PeriodicalIF":3.1,"publicationDate":"2024-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11252582/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141725492","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Artificial intelligence in screening and diagnosis of surgical diseases: A narrative review. 人工智能在外科疾病筛查和诊断中的应用:叙述性综述。
IF 3.1 Q2 HEALTH CARE SCIENCES & SERVICES Pub Date : 2024-04-23 eCollection Date: 2024-01-01 DOI: 10.3934/publichealth.2024028
Giuseppe Palomba, Agostino Fernicola, Marcello Della Corte, Marianna Capuano, Giovanni Domenico De Palma, Giovanni Aprea

Artificial intelligence (AI) is playing an increasing role in several fields of medicine. It is also gaining popularity among surgeons as a valuable screening and diagnostic tool for many conditions such as benign and malignant colorectal, gastric, thyroid, parathyroid, and breast disorders. In the literature, there is no review that groups together the various application domains of AI when it comes to the screening and diagnosis of main surgical diseases. The aim of this review is to describe the use of AI in these settings. We performed a literature review by searching PubMed, Web of Science, Scopus, and Embase for all studies investigating the role of AI in the surgical setting, published between January 01, 2000, and June 30, 2023. Our focus was on randomized controlled trials (RCTs), meta-analysis, systematic reviews, and observational studies, dealing with large cohorts of patients. We then gathered further relevant studies from the reference list of the selected publications. Based on the studies reviewed, it emerges that AI could strongly enhance the screening efficiency, clinical ability, and diagnostic accuracy for several surgical conditions. Some of the future advantages of this technology include implementing, speeding up, and improving the automaticity with which AI recognizes, differentiates, and classifies the various conditions.

人工智能(AI)在多个医学领域发挥着越来越重要的作用。它作为许多疾病(如良性和恶性结直肠、胃、甲状腺、甲状旁腺和乳腺疾病)的重要筛查和诊断工具,也越来越受到外科医生的青睐。在文献中,还没有一篇综述将人工智能在主要外科疾病筛查和诊断方面的各种应用领域归纳在一起。本综述旨在介绍人工智能在这些领域的应用。我们通过搜索 PubMed、Web of Science、Scopus 和 Embase,对 2000 年 1 月 1 日至 2023 年 6 月 30 日期间发表的所有调查人工智能在外科手术中作用的研究进行了文献综述。我们将重点放在随机对照试验 (RCT)、荟萃分析、系统综述和观察性研究上,这些研究都涉及大型患者群体。然后,我们从所选出版物的参考文献列表中收集了更多相关研究。根据所审查的研究,我们发现人工智能可以大大提高筛查效率、临床能力和对几种外科疾病的诊断准确性。这项技术的一些未来优势包括实施、加速和提高人工智能识别、区分和分类各种病症的自动性。
{"title":"Artificial intelligence in screening and diagnosis of surgical diseases: A narrative review.","authors":"Giuseppe Palomba, Agostino Fernicola, Marcello Della Corte, Marianna Capuano, Giovanni Domenico De Palma, Giovanni Aprea","doi":"10.3934/publichealth.2024028","DOIUrl":"10.3934/publichealth.2024028","url":null,"abstract":"<p><p>Artificial intelligence (AI) is playing an increasing role in several fields of medicine. It is also gaining popularity among surgeons as a valuable screening and diagnostic tool for many conditions such as benign and malignant colorectal, gastric, thyroid, parathyroid, and breast disorders. In the literature, there is no review that groups together the various application domains of AI when it comes to the screening and diagnosis of main surgical diseases. The aim of this review is to describe the use of AI in these settings. We performed a literature review by searching PubMed, Web of Science, Scopus, and Embase for all studies investigating the role of AI in the surgical setting, published between January 01, 2000, and June 30, 2023. Our focus was on randomized controlled trials (RCTs), meta-analysis, systematic reviews, and observational studies, dealing with large cohorts of patients. We then gathered further relevant studies from the reference list of the selected publications. Based on the studies reviewed, it emerges that AI could strongly enhance the screening efficiency, clinical ability, and diagnostic accuracy for several surgical conditions. Some of the future advantages of this technology include implementing, speeding up, and improving the automaticity with which AI recognizes, differentiates, and classifies the various conditions.</p>","PeriodicalId":45684,"journal":{"name":"AIMS Public Health","volume":"11 2","pages":"557-576"},"PeriodicalIF":3.1,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11252578/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141724641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Effects of exercise, physical activity, and sports on physical fitness in adults with Down syndrome: A systematic review. 运动、体育活动和体育运动对唐氏综合征成人体能的影响:系统综述。
IF 3.1 Q2 HEALTH CARE SCIENCES & SERVICES Pub Date : 2024-04-23 eCollection Date: 2024-01-01 DOI: 10.3934/publichealth.2024029
Felipe Montalva-Valenzuela, Antonio Castillo-Paredes, Claudio Farias-Valenzuela, Oscar Andrades-Ramirez, Yeny Concha-Cisternas, Eduardo Guzmán-Muñoz

This systematic review aimed to analyze the effects of exercise, physical activity, and sports on physical fitness in adults with Down syndrome (DS). A literature search was conducted across four databases EBSCO, Scopus, Web of Science, and PubMed. The PRISMA guidelines were followed. The PEDro scale and the Cochrane risk of bias tool were used to assess the quality and risk of the studies, respectively. The protocol was registered in PROSPERO (code: CRD42023449627). Of the 423 records initially found, 13 were finally included in the systematic review, in which 349 adults with DS participated. 92% of the articles declared at least one significant difference post-intervention. The available evidence indicates that exercise, physical activity, and sports have a positive effect on some variables of physical fitness, especially strength, balance, body composition, cardiorespiratory fitness, flexibility, and functional capacity. Furthermore, it should be considered as an additional treatment or complementary therapy to improve the functionality and quality of life of adults with DS.

本系统综述旨在分析运动、体育活动和体育运动对唐氏综合症(DS)成人体能的影响。我们在 EBSCO、Scopus、Web of Science 和 PubMed 四个数据库中进行了文献检索。研究遵循了 PRISMA 指南。PEDro 量表和 Cochrane 偏倚风险工具分别用于评估研究的质量和风险。研究方案已在 PROSPERO 注册(代码:CRD42023449627)。在最初找到的 423 条记录中,有 13 条最终被纳入了系统综述,其中有 349 名成年 DS 患者参与了综述。92%的文章宣称干预后至少存在一个显著差异。现有证据表明,运动、体育活动和体育运动对体能的某些变量有积极影响,尤其是力量、平衡、身体成分、心肺功能、柔韧性和功能能力。此外,运动应被视为一种额外的治疗或辅助疗法,以改善成年 DS 患者的功能和生活质量。
{"title":"Effects of exercise, physical activity, and sports on physical fitness in adults with Down syndrome: A systematic review.","authors":"Felipe Montalva-Valenzuela, Antonio Castillo-Paredes, Claudio Farias-Valenzuela, Oscar Andrades-Ramirez, Yeny Concha-Cisternas, Eduardo Guzmán-Muñoz","doi":"10.3934/publichealth.2024029","DOIUrl":"10.3934/publichealth.2024029","url":null,"abstract":"<p><p>This systematic review aimed to analyze the effects of exercise, physical activity, and sports on physical fitness in adults with Down syndrome (DS). A literature search was conducted across four databases EBSCO, Scopus, Web of Science, and PubMed. The PRISMA guidelines were followed. The PEDro scale and the Cochrane risk of bias tool were used to assess the quality and risk of the studies, respectively. The protocol was registered in PROSPERO (code: CRD42023449627). Of the 423 records initially found, 13 were finally included in the systematic review, in which 349 adults with DS participated. 92% of the articles declared at least one significant difference post-intervention. The available evidence indicates that exercise, physical activity, and sports have a positive effect on some variables of physical fitness, especially strength, balance, body composition, cardiorespiratory fitness, flexibility, and functional capacity. Furthermore, it should be considered as an additional treatment or complementary therapy to improve the functionality and quality of life of adults with DS.</p>","PeriodicalId":45684,"journal":{"name":"AIMS Public Health","volume":"11 2","pages":"577-600"},"PeriodicalIF":3.1,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11252580/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141724644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Evaluation of burnout levels among healthcare staff in anesthesiology departments in Greece - Is there a connection with anxiety and depression? 希腊麻醉科医护人员职业倦怠水平评估 - 是否与焦虑和抑郁有关?
IF 3.1 Q2 HEALTH CARE SCIENCES & SERVICES Pub Date : 2024-04-19 eCollection Date: 2024-01-01 DOI: 10.3934/publichealth.2024027
Aikaterini Toska, Sofia Ralli, Evangelos C Fradelos, Ioanna Dimitriadou, Anastasios Christakis, Viktor Vus, Maria Saridi

Introduction: Healthcare workers in anesthesiology departments often experience burnout syndrome, which may be combined with anxiety and depression.

Aim: The study aimed to assess the levels of burnout among nurses and physicians working in anesthesiology departments in public hospitals in Attica and to investigate a possible correlation between burnout, anxiety, and depression.

Methodology: A cross-sectional study was conducted on physicians and nurses working in anesthesiology departments in public hospitals in Attica, Greece. A questionnaire was distributed electronically using the snowball sampling method, including questions about demographic characteristics, burnout, anxiety, and depression.

Results: Physicians and nurses in anesthesiology departments were found to have moderate levels of burnout, and normal/low levels of anxiety and depression. More specifically, it was found that 2% of physicians and 14.4% of nurses had extremely elevated levels of burnout. On the other hand, 6.1% of physicians and 23.7% of nurses had high anxiety, while 6.1% of physicians and 15.5% of nurses had elevated levels of depression. Females (p = 0.008), staff aged 45-55 (p = 0.021), lower educational level (p = 0.025), nurses (p = 0.001), more than 21 years of service (p = 0.001), and having children (p = 0.008) were determinants of greater levels of personal burnout. Work-related burnout correlated with having children (p = 0.017), whereas client-related burnout was significantly higher for nurses (p = 0.002). In addition, a correlation was found between anxiety, depression, and increased levels of burnout (p = 0.000).

Conclusions: As physicians and nurses working in anesthesiology departments have stressful jobs and work long hours, it is important to further study their physical, emotional, and mental exhaustion as well as psychological resilience levels.

引言目的:本研究旨在评估阿提卡州公立医院麻醉科护士和医生的职业倦怠程度,并调查职业倦怠、焦虑和抑郁之间可能存在的相关性:对希腊阿提卡州公立医院麻醉科的医生和护士进行了一项横断面研究。采用滚雪球式抽样方法以电子方式发放了一份调查问卷,其中包括人口统计学特征、职业倦怠、焦虑和抑郁等问题:结果发现,麻醉科医生和护士的职业倦怠程度适中,焦虑和抑郁程度正常/较低。更具体地说,有 2% 的医生和 14.4% 的护士职业倦怠程度极高。另一方面,6.1% 的医生和 23.7% 的护士焦虑程度较高,而 6.1% 的医生和 15.5% 的护士抑郁程度较高。女性(p = 0.008)、45-55 岁(p = 0.021)、学历较低(p = 0.025)、护士(p = 0.001)、工龄超过 21 年(p = 0.001)和有子女(p = 0.008)是个人职业倦怠水平较高的决定因素。与工作相关的职业倦怠与有无子女相关(p = 0.017),而与客户相关的职业倦怠在护士中明显较高(p = 0.002)。此外,焦虑、抑郁和职业倦怠程度的增加之间也存在相关性(p = 0.000):由于在麻醉科工作的医生和护士工作压力大、工作时间长,因此进一步研究他们的身体、情绪和精神疲惫程度以及心理承受力水平非常重要。
{"title":"Evaluation of burnout levels among healthcare staff in anesthesiology departments in Greece - Is there a connection with anxiety and depression?","authors":"Aikaterini Toska, Sofia Ralli, Evangelos C Fradelos, Ioanna Dimitriadou, Anastasios Christakis, Viktor Vus, Maria Saridi","doi":"10.3934/publichealth.2024027","DOIUrl":"10.3934/publichealth.2024027","url":null,"abstract":"<p><strong>Introduction: </strong>Healthcare workers in anesthesiology departments often experience burnout syndrome, which may be combined with anxiety and depression.</p><p><strong>Aim: </strong>The study aimed to assess the levels of burnout among nurses and physicians working in anesthesiology departments in public hospitals in Attica and to investigate a possible correlation between burnout, anxiety, and depression.</p><p><strong>Methodology: </strong>A cross-sectional study was conducted on physicians and nurses working in anesthesiology departments in public hospitals in Attica, Greece. A questionnaire was distributed electronically using the snowball sampling method, including questions about demographic characteristics, burnout, anxiety, and depression.</p><p><strong>Results: </strong>Physicians and nurses in anesthesiology departments were found to have moderate levels of burnout, and normal/low levels of anxiety and depression. More specifically, it was found that 2% of physicians and 14.4% of nurses had extremely elevated levels of burnout. On the other hand, 6.1% of physicians and 23.7% of nurses had high anxiety, while 6.1% of physicians and 15.5% of nurses had elevated levels of depression. Females (<i>p</i> = 0.008), staff aged 45-55 (<i>p</i> = 0.021), lower educational level (<i>p</i> = 0.025), nurses (<i>p</i> = 0.001), more than 21 years of service (<i>p</i> = 0.001), and having children (<i>p</i> = 0.008) were determinants of greater levels of personal burnout. Work-related burnout correlated with having children (<i>p</i> = 0.017), whereas client-related burnout was significantly higher for nurses (<i>p</i> = 0.002). In addition, a correlation was found between anxiety, depression, and increased levels of burnout (<i>p</i> = 0.000).</p><p><strong>Conclusions: </strong>As physicians and nurses working in anesthesiology departments have stressful jobs and work long hours, it is important to further study their physical, emotional, and mental exhaustion as well as psychological resilience levels.</p>","PeriodicalId":45684,"journal":{"name":"AIMS Public Health","volume":"11 2","pages":"543-556"},"PeriodicalIF":3.1,"publicationDate":"2024-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11252572/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141724645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Incarceration's lingering health effects on Black men: impacts persist into retirement. 监禁对黑人男性健康的持久影响:影响一直持续到退休。
IF 3.1 Q2 HEALTH CARE SCIENCES & SERVICES Pub Date : 2024-04-16 eCollection Date: 2024-01-01 DOI: 10.3934/publichealth.2024026
Shervin Assari

Background: The unique challenges Black men face within the criminal justice system underscore structural and systemic factors driving widespread inequalities. The long-term effects of these challenges on economic, health, and social outcomes as individuals transition to retirement remain poorly understood, highlighting a critical gap in our knowledge of life trajectories long after justice system involvement.

Objectives: This study investigated the enduring health impacts of incarceration on Black men, particularly focusing on the transition into retirement. It aimed to explore the influence of race and gender on experiences of incarceration before age 50, and how such experiences affected self-rated health during the retirement transition.

Methods: Utilizing data from the Health and Retirement Study, which followed individuals aged 50-59 for up to thirty years, this research examined the interplay of race, gender, incarceration history, and self-rated health during the retirement transition. Logistic regression and path modeling were employed for data analysis.

Results: Logistic regression results indicated that being Black, male, and having lower educational attainment significantly increased the likelihood of experiencing incarceration before the age of 50 (p < 0.05). This suggests that Black men with lower levels of education are at the greatest risk of incarceration. The path model revealed a correlation between incarceration experiences before age 50 and poorer self-rated health at the time of retirement.

Conclusion: The findings highlighted the disproportionately high risk of incarceration among Black men, especially those with lower educational attainment, and its persistent negative impacts on health decades later, including during the transition into retirement. Addressing structural racism and the mass incarceration of Black men is crucial for achieving racial health equity as individuals retire.

背景:黑人男性在刑事司法系统中面临的独特挑战凸显了造成普遍不平等现象的结构性和系统性因素。人们对这些挑战在个人过渡到退休后对经济、健康和社会结果的长期影响仍然知之甚少,这凸显了我们在了解司法系统介入后长期生活轨迹方面存在的重大差距:本研究调查了监禁对黑人男性健康的持久影响,尤其关注向退休的过渡。研究旨在探讨种族和性别对 50 岁前监禁经历的影响,以及这些经历如何影响退休过渡期的自我健康评价:本研究利用健康与退休研究(Health and Retirement Study)的数据(该研究对 50-59 岁的人进行了长达 30 年的跟踪调查),探讨了种族、性别、监禁史和退休过渡期自我健康评价之间的相互作用。数据分析采用了逻辑回归和路径模型:逻辑回归结果表明,黑人、男性和教育程度较低的人在 50 岁之前经历监禁的可能性明显增加(p < 0.05)。这表明,受教育程度较低的黑人男性面临的监禁风险最大。路径模型显示,50 岁前的监禁经历与退休时较低的自我健康评价之间存在相关性:研究结果凸显了黑人男性,尤其是受教育程度较低的黑人男性被监禁的风险过高,以及其对几十年后健康的持续负面影响,包括在向退休过渡期间。解决结构性种族主义和黑人男子被大规模监禁的问题,对于在个人退休后实现种族健康平等至关重要。
{"title":"Incarceration's lingering health effects on Black men: impacts persist into retirement.","authors":"Shervin Assari","doi":"10.3934/publichealth.2024026","DOIUrl":"10.3934/publichealth.2024026","url":null,"abstract":"<p><strong>Background: </strong>The unique challenges Black men face within the criminal justice system underscore structural and systemic factors driving widespread inequalities. The long-term effects of these challenges on economic, health, and social outcomes as individuals transition to retirement remain poorly understood, highlighting a critical gap in our knowledge of life trajectories long after justice system involvement.</p><p><strong>Objectives: </strong>This study investigated the enduring health impacts of incarceration on Black men, particularly focusing on the transition into retirement. It aimed to explore the influence of race and gender on experiences of incarceration before age 50, and how such experiences affected self-rated health during the retirement transition.</p><p><strong>Methods: </strong>Utilizing data from the Health and Retirement Study, which followed individuals aged 50-59 for up to thirty years, this research examined the interplay of race, gender, incarceration history, and self-rated health during the retirement transition. Logistic regression and path modeling were employed for data analysis.</p><p><strong>Results: </strong>Logistic regression results indicated that being Black, male, and having lower educational attainment significantly increased the likelihood of experiencing incarceration before the age of 50 (p < 0.05). This suggests that Black men with lower levels of education are at the greatest risk of incarceration. The path model revealed a correlation between incarceration experiences before age 50 and poorer self-rated health at the time of retirement.</p><p><strong>Conclusion: </strong>The findings highlighted the disproportionately high risk of incarceration among Black men, especially those with lower educational attainment, and its persistent negative impacts on health decades later, including during the transition into retirement. Addressing structural racism and the mass incarceration of Black men is crucial for achieving racial health equity as individuals retire.</p>","PeriodicalId":45684,"journal":{"name":"AIMS Public Health","volume":"11 2","pages":"526-542"},"PeriodicalIF":3.1,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11252577/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141724677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An evaluation of digital intervention for perinatal depression and anxiety: A systematic review. 围产期抑郁和焦虑的数字化干预评估:系统综述。
IF 3.1 Q2 HEALTH CARE SCIENCES & SERVICES Pub Date : 2024-04-15 eCollection Date: 2024-01-01 DOI: 10.3934/publichealth.2024025
Siti Roshaidai Mohd Arifin, Amalia Kamaruddin, Noor Azimah Muhammad, Mohd Said Nurumal, Hazwani Mohd Mohadis, Nik Hazlina Nik Hussain, Shanti Wardaningsih

Digital intervention has been shown to be helpful in improving perinatal mental health. However, the design characteristics of such interventions have not been systematically reviewed. Considering that a lack of support-especially from a partner-is one of the major contributing factors to perinatal depression and anxiety, it is crucial to determine whether digital interventions have included partner participation. In this review, we systematically examined the design characteristics of digital interventions related to perinatal depression and anxiety and aimed to determine whether partner participation was incorporated as part of the interventions. Based on the PRISMA 2020 guidelines, five databases (PubMed, EBSCO, Cochrane, ProQuest, and Scopus) were searched. Narrative results of design characteristics were developed to provide a framework for the design and evaluation of the studies. A total of 12 intervention studies from China, Sweden, Australia, New Zealand, Singapore, Norway, and the United Kingdom were included. Across all studies, internet cognitive behavioral therapy and mindfulness therapy were overwhelmingly utilized as the major intervention approaches. While all studies reported reduced depressive symptoms after the intervention, only four studies reported subsequent decreased levels of both depressive and anxiety symptoms. Only one study included partner support in the intervention. Cognitive behavioral therapy and mindfulness therapy, two of the most common intervention approaches, were found to be effective in alleviating perinatal depression and anxiety. Partner participation should be prioritized in designing digital interventions to ensure comprehensive and easily accessible social support for persons in need.

数字干预已被证明有助于改善围产期心理健康。然而,此类干预措施的设计特点尚未得到系统的审查。考虑到缺乏支持--尤其是来自伴侣的支持--是导致围产期抑郁和焦虑的主要因素之一,因此确定数字化干预是否包括伴侣参与至关重要。在本综述中,我们系统地研究了与围产期抑郁和焦虑相关的数字化干预措施的设计特点,并旨在确定是否将伴侣参与作为干预措施的一部分。根据 PRISMA 2020 指南,我们检索了五个数据库(PubMed、EBSCO、Cochrane、ProQuest 和 Scopus)。设计特点的叙述性结果为研究的设计和评估提供了一个框架。共纳入了来自中国、瑞典、澳大利亚、新西兰、新加坡、挪威和英国的 12 项干预研究。在所有研究中,网络认知行为疗法和正念疗法被绝大多数研究用作主要的干预方法。虽然所有研究都报告称干预后抑郁症状有所减轻,但只有四项研究报告称抑郁症状和焦虑症状均随之减轻。只有一项研究在干预中加入了伙伴支持。研究发现,认知行为疗法和正念疗法这两种最常见的干预方法能有效缓解围产期抑郁和焦虑。在设计数字化干预措施时,应优先考虑伴侣的参与,以确保为有需要的人提供全面、便捷的社会支持。
{"title":"An evaluation of digital intervention for perinatal depression and anxiety: A systematic review.","authors":"Siti Roshaidai Mohd Arifin, Amalia Kamaruddin, Noor Azimah Muhammad, Mohd Said Nurumal, Hazwani Mohd Mohadis, Nik Hazlina Nik Hussain, Shanti Wardaningsih","doi":"10.3934/publichealth.2024025","DOIUrl":"10.3934/publichealth.2024025","url":null,"abstract":"<p><p>Digital intervention has been shown to be helpful in improving perinatal mental health. However, the design characteristics of such interventions have not been systematically reviewed. Considering that a lack of support-especially from a partner-is one of the major contributing factors to perinatal depression and anxiety, it is crucial to determine whether digital interventions have included partner participation. In this review, we systematically examined the design characteristics of digital interventions related to perinatal depression and anxiety and aimed to determine whether partner participation was incorporated as part of the interventions. Based on the PRISMA 2020 guidelines, five databases (PubMed, EBSCO, Cochrane, ProQuest, and Scopus) were searched. Narrative results of design characteristics were developed to provide a framework for the design and evaluation of the studies. A total of 12 intervention studies from China, Sweden, Australia, New Zealand, Singapore, Norway, and the United Kingdom were included. Across all studies, internet cognitive behavioral therapy and mindfulness therapy were overwhelmingly utilized as the major intervention approaches. While all studies reported reduced depressive symptoms after the intervention, only four studies reported subsequent decreased levels of both depressive and anxiety symptoms. Only one study included partner support in the intervention. Cognitive behavioral therapy and mindfulness therapy, two of the most common intervention approaches, were found to be effective in alleviating perinatal depression and anxiety. Partner participation should be prioritized in designing digital interventions to ensure comprehensive and easily accessible social support for persons in need.</p>","PeriodicalId":45684,"journal":{"name":"AIMS Public Health","volume":"11 2","pages":"499-525"},"PeriodicalIF":3.1,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11252571/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141724639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
期刊
AIMS Public Health
全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1