Lifespan Development and Mental Health - Journal

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src="/uploads/2024/10/31/1730358055gA4u.jpg" alt="Lifespan Development and Mental Health-logo"> </a> </div> </div> <div class="flex-grow-1 pl-5 pb-2"> <div class="d-flex justify-content-center"> <div class="left-title"> <h1 class="d-flex justify-content-between align-items-center"> Lifespan Development and Mental Health <a class="orange-color mb-0" href="/journals/ldmh/apc"> <img src="/style/image/open_access.png"> Open Access </a> </h1> <div class="d-flex"> <div class="flex-grow-1"> <div class="right-title d-flex align-items-center"> <p class="text-right mr-2">ISSN: 3007-0740 <span>(Online)</span></p> <p class="text-right mr-2">3007-0732 <span>(Print)</span></p> <p class="text-right mr-2"></p> </div> <div class="item-text"> <em>Lifespan Development and Mental Health</em> is an international peer-reviewed and open access journal dedicated to investigating the relationship between lifespan development process and mental health. It is published quarterly online by SCIEPublish. </div> 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border-top-0"> <h3 class="section-title"> Editor-in-Chief </h3> </div> <ul class="row mt-3"> <li class="col pb-2 mb-2"> <div class="d-flex align-items-center height100"> <div class="avatar-container"> <a class="avatar-img" href="/journals/ldmh/editors"> <img src="/uploads/2023/10/09/1696829786jpfg.jpg" class="avatar img-thumbnail"> </a> </div> <div class="flex-grow-1 ml-3"> <h5>Prof. Dr. Buxin Han</h5> <p>Department of Psychology, University of Chinese Academy of Sciences, Beijing, China;<br /> CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, China</p> </div> </div> </li> </ul> </div> </section> <section class="articles-list1 mb-3"> <div class="my-body-container padding0"> <div class="section-heading"> <h3 class="section-title"> Articles <span>(3)</span> <a class="right" href="/journals/ldmh/articles" target="_blank"> All articles <svg xmlns="http://www.w3.org/2000/svg" width="12" height="12" fill="currentColor" class="bi bi-chevron-double-right" viewBox="0 0 16 16"> <path fill-rule="evenodd" d="M3.646 1.646a.5.5 0 0 1 .708 0l6 6a.5.5 0 0 1 0 .708l-6 6a.5.5 0 0 1-.708-.708L9.293 8 3.646 2.354a.5.5 0 0 1 0-.708z"/> <path fill-rule="evenodd" d="M7.646 1.646a.5.5 0 0 1 .708 0l6 6a.5.5 0 0 1 0 .708l-6 6a.5.5 0 0 1-.708-.708L13.293 8 7.646 2.354a.5.5 0 0 1 0-.708z"/> </svg> </a> </h3> </div> <ul class="nav nav-tabs mt-2"> <li class="nav-item"><a class="nav-link active" id="all-tab" data-toggle="tab" href="#id-all">Latest published</a></li> <li class="nav-item"><a class="nav-link" id="downloaded-tab" data-toggle="tab" href="#id-downloaded">Most downloaded</a></li> <li class="nav-item"><a class="nav-link" id="popular-tab" data-toggle="tab" href="#id-popular" role="tab">Most popular</a></li> </ul> <div class="tab-content" id="myTabContent"> <div class="tab-pane fade show active" id="id-all"> <div class="d-flex article-box pt-3 pb-3"> <div class="sc-width-200 pr-3"> <h4>Article</h4> <span>27 September 2024</span> </div> <div class="sc-flex-value1 d-flex flex-wrap"> <div> <h3 class="article-title"> <a class="anchor" href="/article/pii/288">The Relationship between Negative Cognitive Processing Bias, Self-Control, and Depressive Symptoms among University Students: A Network Analysis</a> </h3> <p class="article-abseract clamp">Depression is a heterogeneous disease, with individual symptoms uniquely associated with negative cognitive processing bias and self-control. However, studies on the relationships among them from a fine-grained level are lacking. The present study employed network analysis to explore the specific connections among the three constructs based on the dual-process model. Recruiting 1168 Chinese university students, the study estimated a regularized partial correlation network. Depression, negative cognitive processing bias, and self-control were assessed with the nine-item Patient Health Questionnaire (PHQ-9), the Negative Cognitive Processing Bias Questionnaire (NCPBQ), and the Brief Self-Control Scale (BSCS), respectively. Depression nodes fatigue, sad mood, and guilt were the most central symptoms. Negative memory bias, negative attention bias, and guilt were the bridge nodes. Network revealed distinct relations between different negative cognitive processing bias dimensions and depression symptoms, self-control and depression symptoms, and direct antagonistic effects between negative cognitive processing bias and self-control. The current study showed specific pathways between the three communities, and highlighted the role of dual-process model variables in depression development. Focusing on the identified critical depression nodes and related pathways could be effective for depression prevention and intervention.</p> </div> <div class="authors-list align-self-end"> <i class="fal fa-user"></i> <div class="author-name"> <a href="https://scholar.google.com/scholar?q=ShuhanLiu" target="_blank"> Shuhan Liu </a> </div> <div class="author-name"> <a href="https://scholar.google.com/scholar?q=JingGuo" target="_blank"> Jing Guo </a> </div> <div class="author-name"> <a href="https://scholar.google.com/scholar?q=QiLi" target="_blank"> Qi Li* </a> </div> <div class="author-name"> <a href="https://scholar.google.com/scholar?q=GuangyuZhang" target="_blank"> Guangyu Zhang </a> </div> <div class="author-name"> <a href="https://scholar.google.com/scholar?q=JiamingCheng" target="_blank"> Jiaming Cheng </a> </div> <div class="author-name"> <a href="https://scholar.google.com/scholar?q=BibingDai" target="_blank"> Bibing Dai* </a> </div> </div> </div> <div class="article-img"> <div class="img-thumbnail"> <a href="/uploads/2024/09/27/cbda10bdd84735df837a92f8054c4666.jpg" data-lightbox="image-1" data-title=""><img src="/uploads/2024/09/27/cbda10bdd84735df837a92f8054c4666.jpg" class=""></a> </div> </div> </div> <div class="d-flex article-box pt-3 pb-3"> <div class="sc-width-200 pr-3"> <h4>Article</h4> <span>02 July 2024</span> </div> <div class="sc-flex-value1 d-flex flex-wrap"> <div> <h3 class="article-title"> <a class="anchor" href="/article/pii/225">Early Risk Indicators for DSM-IV Diagnoses in Adolescents and Young Adults with Intellectual Disabilities</a> </h3> <p class="article-abseract clamp">Objective: To identify risk indicators at ages 6<b>–</b>18 years that are associated with DSM-IV diagnoses in adolescents and young adults with intellectual disabilities five years later. To assess the potential health gain and efficiency of preventive interventions targeting these risk indicators. Method: Parents reported on potential child, parental, and environmental risk indicators. Five years later, parents were interviewed using a standardised psychiatric interview schedule (DISC-IV) to assess DSM-IV diagnoses in children with ID (N = 614) at the age of 11 to 24 years. Logistic regression and linear probability models were used to test the contribution of risk indicators to the prediction of DSM-IV diagnoses. Results: Deviant levels of internalising and externalising problems, inadequate adaptive behaviour, and parental psychopathology predicted psychiatric disorder. Children/adolescents exposed to multiple risk indicators were at greater risk of developing DSM-IV disorders. Conclusions: Strategies aiming for the risk reduction of psychiatric disorders in children/adolescents with ID should focus on intervening at an early age, improving psychopathology and adaptive behaviour skills of the children/adolescents, and supporting their parents.</p> </div> <div class="authors-list align-self-end"> <i class="fal fa-user"></i> <div class="author-name"> <a href="https://scholar.google.com/scholar?q=HansM.Koot" target="_blank"> Hans M. Koot* </a> </div> <div class="author-name"> <a href="https://scholar.google.com/scholar?q=KarenP.de Ruiter" target="_blank"> Karen P. de Ruiter </a> </div> <div class="author-name"> <a href="https://scholar.google.com/scholar?q=JolandaC.H.Douma" target="_blank"> Jolanda C.H. Douma </a> </div> <div class="author-name"> <a href="https://scholar.google.com/scholar?q=MarielleC.Dekker" target="_blank"> Marielle C. Dekker </a> </div> </div> </div> </div> <div class="d-flex article-box pt-3 pb-3"> <div class="sc-width-200 pr-3"> <h4>Editorial</h4> <span>01 April 2024</span> </div> <div class="sc-flex-value1 d-flex flex-wrap"> <div> <h3 class="article-title"> <a class="anchor" href="/article/pii/160"><em>Lifespan Development and Mental Health</em>: Inaugural Introduction</a> </h3> </div> <div class="authors-list align-self-end"> <i class="fal fa-user"></i> <div class="author-name"> <a href="https://scholar.google.com/scholar?q=BuxinHan" target="_blank"> Buxin Han* </a> </div> </div> </div> </div> </div> <div class="tab-pane fade" id="id-downloaded"> <div class="d-flex article-box pt-3 pb-3"> <div class="sc-width-200 pr-3"> <h4>Editorial</h4> <span>01 April 2024</span> </div> <div class="sc-flex-value1 d-flex flex-wrap"> <div> <h3 class="article-title"> <a class="anchor" href="/article/pii/160"><em>Lifespan Development and Mental Health</em>: Inaugural Introduction</a> </h3> </div> <div class="authors-list align-self-end"> <i class="fal fa-user"></i> <div class="author-name"> BuxinHan </div> </div> </div> </div> <div class="d-flex article-box pt-3 pb-3"> <div class="sc-width-200 pr-3"> <h4>Article</h4> <span>02 July 2024</span> </div> <div class="sc-flex-value1 d-flex flex-wrap"> <div> <h3 class="article-title"> <a class="anchor" href="/article/pii/225">Early Risk Indicators for DSM-IV Diagnoses in Adolescents and Young Adults with Intellectual Disabilities</a> </h3> <p class="article-abseract clamp">Objective: To identify risk indicators at ages 6<b>–</b>18 years that are associated with DSM-IV diagnoses in adolescents and young adults with intellectual disabilities five years later. To assess the potential health gain and efficiency of preventive interventions targeting these risk indicators. Method: Parents reported on potential child, parental, and environmental risk indicators. Five years later, parents were interviewed using a standardised psychiatric interview schedule (DISC-IV) to assess DSM-IV diagnoses in children with ID (N = 614) at the age of 11 to 24 years. Logistic regression and linear probability models were used to test the contribution of risk indicators to the prediction of DSM-IV diagnoses. Results: Deviant levels of internalising and externalising problems, inadequate adaptive behaviour, and parental psychopathology predicted psychiatric disorder. Children/adolescents exposed to multiple risk indicators were at greater risk of developing DSM-IV disorders. Conclusions: Strategies aiming for the risk reduction of psychiatric disorders in children/adolescents with ID should focus on intervening at an early age, improving psychopathology and adaptive behaviour skills of the children/adolescents, and supporting their parents.</p> </div> <div class="authors-list align-self-end"> <i class="fal fa-user"></i> <div class="author-name"> HansM. Koot </div> <div class="author-name"> KarenP.de Ruiter </div> <div class="author-name"> JolandaC.H.Douma </div> <div class="author-name"> MarielleC.Dekker </div> </div> </div> </div> <div class="d-flex article-box pt-3 pb-3"> <div class="sc-width-200 pr-3"> <h4>Article</h4> <span>27 September 2024</span> </div> <div class="sc-flex-value1 d-flex flex-wrap"> <div> <h3 class="article-title"> <a class="anchor" href="/article/pii/288">The Relationship between Negative Cognitive Processing Bias, Self-Control, and Depressive Symptoms among University Students: A Network Analysis</a> </h3> <p class="article-abseract clamp">Depression is a heterogeneous disease, with individual symptoms uniquely associated with negative cognitive processing bias and self-control. However, studies on the relationships among them from a fine-grained level are lacking. The present study employed network analysis to explore the specific connections among the three constructs based on the dual-process model. Recruiting 1168 Chinese university students, the study estimated a regularized partial correlation network. Depression, negative cognitive processing bias, and self-control were assessed with the nine-item Patient Health Questionnaire (PHQ-9), the Negative Cognitive Processing Bias Questionnaire (NCPBQ), and the Brief Self-Control Scale (BSCS), respectively. Depression nodes fatigue, sad mood, and guilt were the most central symptoms. Negative memory bias, negative attention bias, and guilt were the bridge nodes. Network revealed distinct relations between different negative cognitive processing bias dimensions and depression symptoms, self-control and depression symptoms, and direct antagonistic effects between negative cognitive processing bias and self-control. The current study showed specific pathways between the three communities, and highlighted the role of dual-process model variables in depression development. Focusing on the identified critical depression nodes and related pathways could be effective for depression prevention and intervention.</p> </div> <div class="authors-list align-self-end"> <i class="fal fa-user"></i> <div class="author-name"> ShuhanLiu </div> <div class="author-name"> JingGuo </div> <div class="author-name"> QiLi </div> <div class="author-name"> GuangyuZhang </div> <div class="author-name"> JiamingCheng </div> <div class="author-name"> BibingDai </div> </div> </div> <div class="article-img"> <div class="img-thumbnail"> <a href="/uploads/2024/09/27/cbda10bdd84735df837a92f8054c4666.jpg" data-lightbox="image-3" data-title=""><img src="/uploads/2024/09/27/cbda10bdd84735df837a92f8054c4666.jpg" class=""></a> </div> </div> </div> </div> <div class="tab-pane fade" id="id-popular"> <div class="d-flex article-box pt-3 pb-3"> <div class="sc-width-200 pr-3"> <h4>Editorial</h4> <span>01 April 2024</span> </div> <div class="sc-flex-value1 d-flex flex-wrap"> <div> <h3 class="article-title"> <a class="anchor" href="/article/pii/160"><em>Lifespan Development and Mental Health</em>: Inaugural Introduction</a> </h3> </div> <div class="authors-list align-self-end"> <i class="fal fa-user"></i> <div class="author-name"> BuxinHan </div> </div> </div> </div> <div class="d-flex article-box pt-3 pb-3"> <div class="sc-width-200 pr-3"> <h4>Article</h4> <span>02 July 2024</span> </div> <div class="sc-flex-value1 d-flex flex-wrap"> <div> <h3 class="article-title"> <a class="anchor" href="/article/pii/225">Early Risk Indicators for DSM-IV Diagnoses in Adolescents and Young Adults with Intellectual Disabilities</a> </h3> <p class="article-abseract clamp"> Objective: To identify risk indicators at ages 6<b>–</b>18 years that are associated with DSM-IV diagnoses in adolescents and young adults with intellectual disabilities five years later. To assess the potential health gain and efficiency of preventive interventions targeting these risk indicators. Method: Parents reported on potential child, parental, and environmental risk indicators. Five years later, parents were interviewed using a standardised psychiatric interview schedule (DISC-IV) to assess DSM-IV diagnoses in children with ID (N = 614) at the age of 11 to 24 years. Logistic regression and linear probability models were used to test the contribution of risk indicators to the prediction of DSM-IV diagnoses. Results: Deviant levels of internalising and externalising problems, inadequate adaptive behaviour, and parental psychopathology predicted psychiatric disorder. Children/adolescents exposed to multiple risk indicators were at greater risk of developing DSM-IV disorders. Conclusions: Strategies aiming for the risk reduction of psychiatric disorders in children/adolescents with ID should focus on intervening at an early age, improving psychopathology and adaptive behaviour skills of the children/adolescents, and supporting their parents.utf-8</p> </div> <div class="authors-list align-self-end"> <i class="fal fa-user"></i> <div class="author-name"> HansM. Koot </div> <div class="author-name"> KarenP.de Ruiter </div> <div class="author-name"> JolandaC.H.Douma </div> <div class="author-name"> MarielleC.Dekker </div> </div> </div> </div> <div class="d-flex article-box pt-3 pb-3"> <div class="sc-width-200 pr-3"> <h4>Article</h4> <span>27 September 2024</span> </div> <div class="sc-flex-value1 d-flex flex-wrap"> <div> <h3 class="article-title"> <a class="anchor" href="/article/pii/288">The Relationship between Negative Cognitive Processing Bias, Self-Control, and Depressive Symptoms among University Students: A Network Analysis</a> </h3> <p class="article-abseract clamp"> Depression is a heterogeneous disease, with individual symptoms uniquely associated with negative cognitive processing bias and self-control. However, studies on the relationships among them from a fine-grained level are lacking. The present study employed network analysis to explore the specific connections among the three constructs based on the dual-process model. Recruiting 1168 Chinese university students, the study estimated a regularized partial correlation network. Depression, negative cognitive processing bias, and self-control were assessed with the nine-item Patient Health Questionnaire (PHQ-9), the Negative Cognitive Processing Bias Questionnaire (NCPBQ), and the Brief Self-Control Scale (BSCS), respectively. Depression nodes fatigue, sad mood, and guilt were the most central symptoms. Negative memory bias, negative attention bias, and guilt were the bridge nodes. Network revealed distinct relations between different negative cognitive processing bias dimensions and depression symptoms, self-control and depression symptoms, and direct antagonistic effects between negative cognitive processing bias and self-control. The current study showed specific pathways between the three communities, and highlighted the role of dual-process model variables in depression development. Focusing on the identified critical depression nodes and related pathways could be effective for depression prevention and intervention.utf-8</p> </div> <div class="authors-list align-self-end"> <i class="fal fa-user"></i> <div class="author-name"> ShuhanLiu </div> <div class="author-name"> JingGuo </div> <div class="author-name"> QiLi </div> <div class="author-name"> GuangyuZhang </div> <div class="author-name"> JiamingCheng </div> <div class="author-name"> BibingDai </div> </div> </div> <div class="article-img"> <div class="img-thumbnail"> <a href="/uploads/2024/09/27/cbda10bdd84735df837a92f8054c4666.jpg" data-lightbox="image-3" data-title=""><img src="/uploads/2024/09/27/cbda10bdd84735df837a92f8054c4666.jpg" class=""></a> </div> </div> </div> </div> </div> </div> </section> <section id="recent-posts-4" class="widget widget_recent_entries news-card mb-2"> <div class="my-body-container padding0"> <div class="section-heading"> <h3 class="section-title"> News </h3> </div> <ul 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