Early Intervention Model Research Articles

"What Works" to Support LGBTQ+ Young People's Mental Health: An Intersectional Youth Rights Approach.

Despite overwhelming international evidence of elevated rates of poor mental health in LGBTQ+ youth compared to their cis-heterosexual peers, we know relatively little about effective mental health services for this population group. This study aims to produce the first early intervention model of "what works" to support LGBTQ+ youth with emerging mental health problems. Utilizing a mixed method case study, we collected data across 12 UK mental health service case study sites that involved: (a) interviews with young people, parents, and mental health practitioners (n = 93); (b) documentary analysis; (c) nonparticipant observation. The data analysis strategy was theoretical using the "explanation-building" analytical technique. Our analysis suggests an intersectional youth rights approach with 13 principles that must be enacted to provide good mental health services as advocated by the United Nations Convention on the Rights of the Child and World Health Organization. This approach should address the multiple forms of marginalization and stigmatization that LGBTQ+ youth may experience, enable informed independent decision-making, and uphold the right to freedom of safe self-expression. A rights-based approach to mental health services for LGBTQ+ young people is not prominent. This needs to change if we are to tackle this mental health inequality and improve the mental well-being of LGBTQ+ youth worldwide.

Addressing the gap of early intervention for eating disorders in primary health care.

Only one in four individuals with eating disorders (EDs) seek help, with many barriers to treatment-seeking present. Placing an early intervention model in primary mental health care settings is one approach to reducing these barriers. To date, only one model (emerge-ED) has been evaluated in the literature. We aimed to replicate findings from the initial emerge-ED evaluation. We report on treatment outcomes in a new cohort and their views on barriers to treatment-seeking. We then examine how this early intervention model in primary health care has evolved to overcome the barriers to treatment delivery cited by health professionals in the initial evaluation. Eighty participants commenced treatment between July 2020 and March 2022 and completed a mean of 8.98 sessions, 70 (87.5%) completed >1 sessional measure on ED cognitions and behaviours, but only 31% (n = 24) completed lengthier assessments. Findings replicated initial emerge-ED outcomes, with small to moderate effect size decreases in the ED sessional measure at 70 days since treatment commencement for cognitions (d = .63) and ED behaviours (d = .09., .69). The most cited barrier by participants was "belief that my problem is not bad enough", reflective of denial of illness. Lastly, to overcome barriers to treatment delivery clinicians had to deviate from treatment protocols and work collaboratively with other healthcare providers. Our findings replicated the initial emerge-ED evaluation and highlight the importance of considering primary health care settings as an essential site in delivering early intervention services for EDs.

Исследование эффективности применения Денверской модели ранней помощи детям с аутизмом и с риском РАС. Систематический обзор

<p style="text-align: justify;">Autism spectrum disorders are a high-frequency group of developmental disorders with a wide variety in the manifestation of key symptoms. The results of numerous studies point to the extremely important role of early initiation of corrective and developmental measures in the further trajectory of the development of a child with autism. To date, the Denver Early Intervention Model, which has been implemented in the practice of providing help to children with ASD for about 25 years, is the most well-known in early intervention services. During this time, a large number of studies have been conducted and evidence of efficacy has been obtained, but the data of scientific studies are very contradictory. The purpose of this work was to review the available scientific literature reflecting the results of research on the application of the Denver model in working with children of early and early preschool age with ASD and the risk of ASD. The effects of the model are considered separately for different types of studies, from case studies to meta-analyses of data, due to differences in results. In general, the presented results of studies on the effectiveness of the Denver model indicate positive results in terms of reducing the severity of autism symptoms, developing social skills and intelligence. At the same time, there is a reduced effect on the generalization of data in meta-analyses, which may be due to the wide variety of diagnostic methods used, which examine one area of development, but reflect different aspects of it.</p>

Feasible Adaptation of ESDM for Statewide Implementation: A Look at Potential Effects, Implementation Conditions, and Cost

This article describes the development and use of a first of its kind statewide implementation of an adapted Early Start Denver Model (ESDM). Supported by a collaborative partnership between stakeholders that included families, state agencies, and a state university, the intervention was implemented within the existing framework of a northeastern state’s relationship-based Individuals with Disabilities Education Act (IDEA) Part C early intervention program. Participants were 194 families. The study examined the effectiveness and implementation costs of an adaptation of the ESDM using a coaching model to inform statewide implementation to improve outcomes for young children with autism spectrum disorder (ASD) in rural and low-resource states. Results indicated 194 children who received a monthly average of 10.90 hr of adapted ESDM for an average of 12 months demonstrated an improvement in the frequency of ASD symptomology for a total cost of US$2,511/child. Intervention intensity and child factors demonstrated varying influence on outcomes. This study contributes to the literature by demonstrating the potential for positive impact of an evidence-based practice scaled to a statewide model of early intervention for young children with ASD.

Implementation of an Adapted Fidelity Scale for Pennsylvania Coordinated Specialty Care Programs for First Episode Psychosis.

Coordinated Specialty Care (CSC) is an evidence-based model for early intervention of first episode psychosis (FEP). Monitoring fidelity to CSC models is essential for proper evaluation of program outcomes and quality improvement. To address variability across CSC programs and fidelity assessment-associated burden, an adapted fidelity scale was developed and implemented statewide in Pennsylvania. This report describes the design and preliminary performance of the adapted scale. The Pennsylvania FEP Fidelity Scale (PA-FEP-FS) assesses adherence to the CSC model by focusing on essential model components of other established fidelity scales, in tandem with program evaluation data. Initial data from fourteen PA-FEP sites from 2018 to 2021 were examined as preliminary validation. Assessment-associated burdens and costs were also estimated. PA-FEP-FS captured essential components of CSC models and proved feasible for implementation across varying program structures, while minimizing burden and cost. Programs utilized annual feedback as CSC benchmarks, evidenced by increased scores over time. PA-FEP-FS provides a model for adapting CSC fidelity scales to meet state- or local-level requirements while reducing assessment burdens and costs that may be associated with existing scales.

Too late for early intervention? The Healthy Ageing Service's mental health response.

This paper describes the rationale for and development of an innovative mental health service for people aged over 65years living in Northern and Eastern Melbourne, Victoria, Australia. The Healthy Ageing Service (HAS) was established in July 2020 to provide care for people aged over 65years experiencing mild-to-moderate mental health concerns. It embraces a prevention and early intervention model of care. It provides primary consultation and brief intervention, secondary consultation, and capacity building to the primary healthcare sector. This innovative service is a Commonwealth-funded partnership between two tertiary mental health service providers that incorporates the recommendations from two major Royal Commissions. It demonstrates a service that acts as a bridge between primary and specialist mental health care, thereby extending mental health services to target the 'missing middle' and is potentially a model for mental health service provision throughout Victoria and Australia.

Advancements in Heart Failure Management: A Comprehensive Narrative Review of Emerging Therapies.

Heart failure is a substantial and escalating global health challenge, affecting millions worldwide. This complex syndrome arises from diverse etiologies, encompassing ischemic heart disease, hypertension, valvular abnormalities, and cardiomyopathies. Heart failure is characterized by the heart's inability to pump blood efficiently to meet the body's metabolic demands, leading to debilitating symptoms, frequent hospitalizations, and high mortality rates. Traditionally, the management of Heart failure has focused on alleviating symptoms, reducing fluid retention, and enhancing cardiac contractility. These goals have been achieved through a combination of pharmacological therapies such as angiotensin-converting enzyme inhibitors, beta-blockers, and diuretics, often complemented by device-based interventions like implantable cardioverter-defibrillators and cardiac resynchronization therapy. However, despite these advances, the relentless progression of heart failure remains a significant clinical challenge. Neurohormonal activation, cardiac fibrosis, and cellular remodeling are just a few of the intricate processes contributing to the disease's progression. In recent years, researchers and clinicians have embarked on a quest to identify novel therapeutic approaches that address these underlying mechanisms. One such avenue of exploration involves the revolutionary field of gene therapy, with promising gene-editing techniques, such as CRISPR-Cas9, offering potential routes for correcting genetic mutations that contribute to heart failure. Additionally, regenerative medicine approaches, including stem cell therapy and tissue engineering, hold significant promise for repairing damaged cardiac tissue and restoring function. Furthermore, precision medicine initiatives have gained traction, aiming to tailor heart failure therapies to individual patient profiles, taking into account genetics, biomarkers, and comorbidities. Integrating artificial intelligence and machine learning in heart failure management has also enabled the development of predictive models for early intervention, risk stratification, and personalized treatment recommendations. This narrative review navigates the intricate landscape of emerging therapies for heart failure, emphasizing their potential to revolutionize the field by targeting the disease's fundamental mechanisms. By exploring these innovative approaches, we aspire to provide a comprehensive perspective on the evolving paradigm of heart failuremanagement, fostering a hopeful outlook for patients and clinicians alike.

Surveying Early Intervention Providers to Identify Opportunities for Workforce Support to Strengthen Family-Centered Care.

Traditional provider-to-child models of early intervention (EI) service provision have been increasingly replaced by service guidelines that promote a broader family-centered approach to support improvement in the child's primary area of delay. These guidelines include working directly with caregivers and addressing needs of the family that might impact a caregivers' capacity to engage in developmentally supportive interactions with children (e.g., caregiver distress). Knowledge of provider skills, practices, and attitudes would inform efforts to broaden and enhance practice in line with these guidelines. Within an academic-community partnership to support EI, we surveyed 88 providers in Miami and Boston about their usual practice, perceptions of their skills, general attitudes towards evidence-based practices, and interest in specific training opportunities. Findings indicated that providers spent more time working directly with children than caregivers. Providers reported high interest in training to manage caregiver distress, support preschool readiness, and align work with family culture. Negative overall attitudes towards using evidence-based interventions and provider exhaustion were related to less interest in obtaining training in culturally-responsive practice. Exhaustion also related to less interest in training on other topics that represent a broadened scope of care, including building warm parent-child relationships. Findings are informing efforts to design EI training opportunities to improve parent-provider relations, enhance parent-child interactions, and reduce caregiver stress.

Implementing Machine Learning to predict the 10-year risk of Cardiovascular Disease

Cardiovascular disease (CVD) is the leading cause of death globally, demanding accurate risk prediction models for early intervention and prevention. This project aimed to develop a Machine Learning (ML) model for predicting the 10-year risk of CVD. A comprehensive review of existing literature was conducted, discussing the methods, algorithms, and data sources used in different studies, to evaluate the performance of various models. The review highlighted the potential of ML for improving CVD risk assessment, and the challenges and limitations of current research. The UCI Heart dataset served as the training data for various ML models, including Logistic Regression (LR), Decision Trees (DT), Random Forests (RF), Support Vector Machines (SVM), Artificial Neural Networks (ANN), and K-Nearest Neighbors (KNN). To optimize model performance, Cross Validation (CV), normalization techniques, and hyperparameter tuning were employed. We report the results, comparing them with traditional models. The implications of this research extend to improved preventive strategies and interventions, potentially alleviating the burden of CVD on individuals and healthcare systems by more targeted interventions, and the optimization of healthcare resources.

Study protocol for a multi-level cross-sectional study on the equitable reach and implementation of coordinated specialty care for early psychosis

BackgroundApproximately 115,000 young adults will experience their first episode of psychosis (FEP) each year in the USA. Coordinated specialty care (CSC) for early psychosis is an evidence-based early intervention model that has demonstrated effectiveness by improving quality of life and reducing psychiatric symptoms for many individuals. Over the last decade, there has significant increase in the implementation of CSC programs throughout the USA. However, prior research has revealed difficulties among individuals and their family members accessing CSC. Research has also shown that CSC programs often report the limited reach of their program to underserved populations and communities (e.g., ethnoracial minorities, rural and low socioeconomic neighborhoods). Dissemination and implementation research focused on the equitable reach and implementation of CSC is needed to address disparities at the individual level.MethodsThe proposed study will create a novel integrative multi-level geospatial database of CSC programs implemented throughout the USA that will include program-level data (e.g., geocoded location, capacity, setting, role availability), provider-level data (race, ethnicity, professional credentials), and neighborhood-level census data (e.g., residential segregation, ethnic density, area deprivation, rural-urban continua, public transit time). This database will be used to characterize variations in CSC programs by geographical location and examine the overall reach CSC programs to specific communities. The quantitative data will be combined with qualitative data from state administrators, providers, and service users that will inform the development of dissemination tools, such as an interactive dashboard, that can aid decision making.DiscussionFindings from this study will highlight the impact of outer contextual determinants on implementation and reach of mental health services, and will serve to inform the future implementation of CSC programs with a primary focus on equity.

The Construction of an Intrauterine Diagnosis and Treatment System and Comprehensive Lifecycle Health Service of Congenital Heart Disease: Xinhua Hospital Model

With the growing influence of slow population growth and population aging, China has established the birth policy and issued a series of documents to promote maternal and fetal health and improve the birth rate. With the increase in prevalence of birth defects, timely diagnosis and intervention in utero provide possibilities to reduce unnecessary abortions and offer better prognosis. Congenital heart disease (CHD), as one of the most common congenital birth defects, is the leading cause of mortality in patients aged <5 years, and brings a heavy burden to both the affected families and society. Fetuses with CHD are associated with an increased risk of pregnancy-related complications and premature birth, and children with CHD typically face growth and developmental problems even after the correction of malformation. Therefore, management including diagnosis, treatment, and rehabilitation throughout the fetal period into childhood and even adulthood is essential for children with CHD. Based on the rapid advances in intrauterine and perinatal medicine and an in-depth collaboration among obstetrics and pediatrics, a novel diagnosis and treatment system has been established for the management of CHD in the past 2 decades in Shanghai Xinhua Hospital. This Intrauterine Diagnosis and Treatment System and Comprehensive Lifecycle Health Service of Congenital Heart Disease model provides prenatal diagnosis, intrauterine intervention, delivery room service and neonatal therapies, and postintrauterine rehabilitation for children with CHD. We have developed a four-dimensional spatiotemporal image correlation echocardiography and a three-dimensional cardiac virtual endoscopy system for the intrauterine diagnosis of CHD, dramatically raising the diagnostic utility. Our innovative and independent newborn-intervention technique has effectively reduced the re-intervention rate in patients with pulmonary atresia with intact ventricular septum and critical pulmonary stenosis. In 2018, Xinhua Hospital independently performed the case of fetal aortic valvuloplasty in Asia through a multidepartment collaborative effort. All children treated in this system achieved biventricular circulation and a better long-term postoperative outcome. We also have conducted postoperative rehabilitation therapy to promote the development and health of children with CHD. The practice of Xinhua model has reduced unnecessary abortion of CHD fetuses, reduced the mortality rate associated with critical CHD, and improved the mid- and long-term prognosis in CHD, which is essential to promote the fertility level and children’s health. Furthermore, translational medicine platform and the birth cohort Early Life Plan was constructed to explore the origins of major developmental diseases and establish an early intervention model in CHD. This practice of assessment of the intrauterine system has been expanded to other congenital defects in Xinhua Hospital, and sequential treatment of more than 2,000 cases has been completed to date. Based on practice in intrauterine management of CHD and other diseases, the concept of Intrauterine Pediatrics was proposed as a first to emphasize early prevention and intervention of childhood diseases and promote a comprehensive lifecycle service for children. The development and evolution of this system requires further attention not only from researchers but also from the government and global medical communities.

Screening for early warning of psychological crisis and intervention in children aged 8-18 years with cancer: a historical controlled trial.

Childhood cancer is becoming an emerging healthcare issue in mainland China. Extensive evidence in the literature has demonstrated that cancer and its treatment experience can cause psychological distress that can lead to developmental problems in children with cancer. This study aims to screen for early warning of psychological crisis in children aged 8-18 years with cancer, establish a model of early warning intervention for children with cancer, and explore its application effects. We recruited 345 children with cancer and aged 8-18 years as the study participants, of whom 173 children were selected as historical controls during the period between December 2019 and March 2020 and 172 children were selected as the intervention group during the period between July 2020 and October 2020. The routine nursing model was adopted for the control group, and the early warning and intervention model was applied for the intervention group. The early warning and intervention model consisted of four stages: (1) establishing a management team to assess the risk of psychological crisis, (2) developing a three-level early warning response mechanism, (3) developing specific response plans, and (4) creating an evaluation summary and optimization mode. The DASS-21 was used to evaluate the psychological status of children with cancer before and 3 months after the intervention. The average age of the control group was 11.43 ± 2.39 years, with 58.96% boys and 61.27% diagnosed with leukemia. The average age of the intervention group was 11.62 ± 2.31 years, with 58.72% boys and 61.63% diagnosed with leukemia. There was a significant reduction in depressive symptoms (4.91 ± 3.98, t = 12.144, P < 0.05), anxiety symptoms (5.79 ± 4.34, t = 8.098, P < 0.05), and stress symptoms (6.98 ± 4.67, t = 11.22, P < 0.05) in the intervention group. The incidence rates of depression, anxiety, and stress were significantly lower in the intervention group (12.79%, 29.07%, and 5.23%, respectively) than in the control group (46.82%, 49.71%, and 27.17%, respectively) (all P's < 0.05). Our study suggests that the early detection and timely management of psychological symptoms through a nursing intervention model can effectively reduce depressive, anxiety, and stress symptoms in Chinese children with cancer. Future work should include conducting qualitative interviews to understand the psychological experiences of children with cancer throughout their entire life cycle.

Through the Looking Glass: Perceptions About Virtual Visits From Deaf Mentors in the SKI-HI Network.

The SKI-HI Deaf Mentor Program is an early intervention model that supports families in creating an effective bilingual environment (American Sign Language [ASL]/English) with their deaf or hard of hearing child. The program can be adopted and implemented in any state. A Deaf Mentor is a deaf or hard of hearing adult specifically trained to engage with and teach families ASL using the Deaf Mentor Curriculum Manual. The program and materials were created for face-to-face delivery to families in home settings. When COVID-19 lockdowns and stay-at-home orders went into place in March 2020, Deaf Mentors had to think creatively to provide services to families virtually. This created a variety of challenges as well as new learning opportunities. The authors discuss both the challenges and positive experiences shared by Deaf Mentors about shifting family services to a virtual platform.

Early intervention in youth psychosis: Novel approaches to understanding change

Untreated psychosis in adolescents and young adults is associated with significant and progressive impairment. Early intervention to provide support and treatment for those at risk of psychosis is essential. Several early intervention models have been developed for those at-risk and those who are victims of a recent episode - including the Portland Identification and Early Referral model (PIER; McFarlane, 2001). This study extends previous work demonstrating a variety of positive treatment outcomes achieved by PIER in the context of a large-scale implementation across the state of Delaware. The sample included 108 youth and young adults who were either at risk for psychosis or had already experienced a first episode within the past two years. Participants received the PIER treatment model and were followed from baseline to six months after they were discharged from treatment. Researchers predicted that PIER participants would experience an increase in functioning and a decrease in positive psychosis symptoms. Change over time was examined through the lens of two analytic techniques: the Reliable Change Index (RCI) analyses and Growth Curve Modeling (GCM). Results show improvement on a number of outcomes over the course of the intervention as expected. Clinical implications, limitations, and suggestions for further research are discussed.

Feeling Well: Using the Augmented Touch of E-Textiles to Embody Emotion and Environment as a “Self-Health” Intervention for Female Student Wellbeing

COVID-19 led to unprecedented levels of isolation for students, and the withdrawal of social support mechanisms left them detached from their networks. This significantly affected their mental health, with more female than male students reporting increased anxiety. Unparalleled restrictions in accessing outdoor environments led to a sense of nature-deficit which further compounded their stress. As learning off-campus becomes the new social norm, students are seeking alternative ways to self-support their emotional wellbeing. This paper explores how students can take a “self-health” approach by drawing upon the restorative powers of nature as a coping mechanism. It considers individuals’ relationships between their personal environments and somatosensory experiences through the medium of e-textiles. The research is underpinned by Attention Restoration Theory and Stress Reduction Theory. Utilising a bricolage methodology it extends the author’s previous research in this field and explores these theories through textile-led, practice-based research. It describes the design of 3 crafted e-textile concepts to explore alternative approaches to self-managing student mental wellbeing. The concepts investigated ways that students could connect virtually with nature through e-textiles using affective touch and haptic-mnemonics to embody natural environments. The textiles sensed physiological biomarkers related to un-noticed stress and created augmented cues which triggered felt experiences and tactile memories. These moderated the biomarkers and educed a sense of calm. The concepts demonstrated the potential to integrate with everyday clothing and create opportunities for students to enhance awareness and management of their mental wellbeing. The mixed-methods research was evaluated through a focus group. The results affirmed that the concepts had technology and social value and were effective in moderating stress by creating place-attachment. The paper concludes that commingling opportunities for visual, virtual and embodied feedback through augmented and affective touch creates a “somato-haptic nexus” which offers a complementary model of early intervention for self-supported student wellbeing.

10 Year Longitudinal Evaluation of the Spilstead Model of Milieu Intervention.

Although international research has defined best-practice intervention for children from vulnerable families as integrated and comprehensive, limited implementation and longitudinal evaluation of this approach has been conducted. The Spilstead Model (SM) of early years milieu intervention provides a uniquely integrated one stop shop model of care incorporating a comprehensive range of best-practice programs within a trauma-informed approach. Results from an initial evaluation involving 23 families (mean child age 3.7 years) indicated large effect size improvements 12 months post entry in family functioning as well as child development and emotional wellbeing (ES 0.8 -1.46, p < 0.001). This study aimed to evaluate the sustainability of these outcomes for both children and families via follow-up of the initial study co-hort 10 years post the initial evaluation. The study targeted families who participated in the original evaluation. Clinician and parent-rated adolescent measures paralleled the original assessments of parent, child and family functioning. Qualitative evaluation was also conducted via a semi-structured interview with parents.83% of the original sample participated. Mean youth age was 13.2 years. Results indicated sustained improvements in parent-child relationship, child-wellbeing and reduction of parent stress with large effect size (1.14 - 1.92 p < 0.001). On average 73% of the adolescents scored within the normal range on each measure of functioning. Few had repeated school grades or been suspended. None had been arrested. Emerging themes from the qualitative evaluation confirmed the value of the integrated model. The results further support the value of the one stop shop Spilstead Model and have the potential to inform international policy and practice.

Latin American Mothers’ First-Hand Accounts of a Statewide Early Intervention Model: A Funds of Knowledge Approach

Latin American families’ history and life experiences impact the priorities and values the families have for their children with disabilities. It may be beneficial for early intervention (EI) providers to explore and integrate Latin American families’ backgrounds to improve EI services. We completed a qualitative interview study using a collective case study analysis to (a) learn about Latin American families’ parenting values and (b) explore families’ experiences with a statewide early intervention model. Three mothers with young children who had received EI services completed two interviews. We found that each family had unique histories, compositions, support networks, and priorities that impacted their experiences with a statewide coaching model. Families revealed how their funds of knowledge were, at times, integrated into the EI they received. Our study describes a valuable method of learning about Latin American families’ cultural backgrounds so that EI providers may sustain families’ cultures within the services they provide.

Deep learning for the screening of primary ciliary dyskinesia based on cranial computed tomography.

Objective: To analyze the cranial computed tomography (CT) imaging features of patients with primary ciliary dyskinesia (PCD) who have exudative otitis media (OME) and sinusitis using a deep learning model for early intervention in PCD. Methods: Thirty-two children with PCD diagnosed at the Children's Hospital of Fudan University, Shanghai, China, between January 2010 and January 2021 who had undergone cranial CT were retrospectively analyzed. Thirty-two children with OME and sinusitis diagnosed using cranial CT formed the control group. Multiple deep learning neural network training models based on PyTorch were built, and the optimal model was trained and selected to observe the differences between the cranial CT images of patients with PCD and those of general patients and to screen patients with PCD. Results: The Swin-Transformer, ConvNeXt, and GoogLeNet training models had optimal results, with an accuracy of approximately 0.94; VGG11, VGG16, VGG19, ResNet 34, and ResNet 50, which are neural network models with fewer layers, achieved relatively strong results; and Transformer and other neural networks with more layers or neural network models with larger receptive fields exhibited a relatively weak performance. A heat map revealed the differences in the sinus, middle ear mastoid, and fourth ventricle between the patients with PCD and the control group. Transfer learning can improve the modeling effect of neural networks. Conclusion: Deep learning-based CT imaging models can accurately screen for PCD and identify differences between the cranial CT images.

Embedding guidelines into clinical practice

Abstract Type 2 diabetes is a complex, chronic illness requiring continuous medical care with multifactorial risk‐reduction strategies beyond glycaemic control. Cardiovascular and metabolic derangements individually and interdependently lead to a substantial increase in cardiovascular disease morbidity and mortality. Chronic kidney disease is also associated with increased risks of cardiovascular morbidity, premature mortality and decreased quality of life. Established and evolving treatment strategies including moderate physical activity, weight reduction, rigorous blood pressure control, correction of dyslipidaemia, and glycaemic control have proven beneficial in reversing these abnormal responses and decreasing the cardiovascular risk. Most patients with type 2 diabetes are treated by their primary health care team who need guidance in choosing the best treatment regimens for their patients since the number of glucose‐lowering agents is rapidly increasing, as is the amount of clinical data regarding these drugs. Early intervention models of care improve glycaemic, cardiovascular and patient outcomes. Copyright © 2023 John Wiley &amp; Sons.

Psycho-Emotional Factors Associated with Depressive Symptoms during Lockdown Due to the COVID-19 Pandemic in the Mexican Population

The COVID-19 pandemic has had a significant impact on mental health, leading to the increase of depressive symptoms. Identifying these symptoms and the factors associated with them in women and men will allow us to understand possible mechanisms of action and develop more specific interventions. An online survey was conducted from 1 May to 30 June 2020 using snowball sampling; the final sample comprised 4122 adult inhabitants of Mexico; 35% of the total sample displayed moderate-to-severe depressive symptoms, with a greater proportion of depression being among female respondents. A logistic regression analysis revealed that individuals under 30 years of age, those with high levels of stress due to social distancing, those with negative emotions, and those who reported a significant impact of the pandemic on their lives have a higher risk of depression. Women with a history of mental health treatment and men with a history of chronic disease were also more likely to experience depressive symptoms. Social environment and sex are factors that intervene in the development of depressive symptoms, meaning that appropriate early identification and intervention models should be designed for the care of men and women in highly disruptive situations such as the recent pandemic.