Article
Clinical Neurology
Timothy Singham, Rob Saunders, Helen Brooker, Byron Creese, Dag Aarsland, Adam Hampshire, Clive Ballard, Anne Corbett, Roopal Desai, Joshua Stott
Summary: The study identified significant heterogeneity in affective symptoms, potentially explaining previous inconsistent findings regarding the association between affective symptoms and cognition. Clinicians should not focus solely on total symptom scores in a single affective domain, but instead on the presence and patterns of symptoms across different domains to support targeted prevention work.
JOURNAL OF AFFECTIVE DISORDERS
(2022)
Article
Psychiatry
Li-Qi Wang, Tian-Hong Zhang, Wei Dang, Sha Liu, Zi-Li Fan, Li-Hui Tu, Ming Zhang, Hua-Ning Wang, Nan Zhang, Qin-Ying Ma, Ying Zhang, Hui-Zi Li, Lu-Chun Wang, Yao-Nan Zheng, Huali Wang, Xin Yu
Summary: This study identified two subtypes of late-life depression: pessimistic and worried. The pessimistic subtype showed impairments in general cognitive function, executive function, information processing speed, and attention. The worried subtype had more physical comorbidities and a higher rate of past history of anxiety.
FRONTIERS IN PSYCHIATRY
(2022)
Review
Economics
Sung Hoo Kim, Patricia L. Mokhtarian
Summary: This study examines the usage landscape and insights of finite mixture modeling in transportation research. Through a comprehensive review and database search, the study identifies the importance of accounting for heterogeneity and provides directions for future research.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2023)
Article
Psychology, Clinical
Melanie Simmonds-Buckley, Ana Catarino, Jaime Delgadillo
Summary: The study identified five depression subtypes using data-driven methods, each with distinct clinical presentations and prognosis during treatment. Differential response to cognitive behavioral therapy was observed among these subtypes.
DEPRESSION AND ANXIETY
(2021)
Article
Medicine, General & Internal
Hui Zhang, Dandan Chen, Jingjie Wu, Ping Zou, Nianqi Cui, Dejie Li, Jing Shao, Leiwen Tang, Erxu Xue, Zhihong Ye, Xiyi Wang
Summary: This study aims to explore the heterogenous subtypes and associated factors of health literacy among patients with metabolic syndrome. A cross-sectional study was conducted with 337 patients recruited from Sir Run Run Shaw Hospital in Zhejiang Province from December 2021 to February 2022. The study utilized the Social Support Questionnaire, Short version of the Health Literacy Scale European Questionnaire (HLS-EU-Q16), and MacArthur Scale of Subjective Social Status for investigation. Latent class analysis (LCA) was performed to identify the subtypes of health literacy among Metabolic syndrome patients, and univariate analysis and logistic regression were used to identify predictors of the subtypes.
ANNALS OF MEDICINE
(2023)
Article
Psychiatry
Cyrille Kossigan Kokou-Kpolou, Sunyoung Park, Lonneke I. M. Lenferink, Steven Kotar Iorfa, Manuel Fernandez-Alcantara, Daniel Derivois, Jude Mary Cenat
Summary: This study used Latent Class Analysis to examine the co-occurrence of prolonged grief disorder and depression in bereaved individuals in a non-Western sample. Three latent classes were identified, with age, time elapsed since loss, continuing bond, relationship with the deceased, and spiritual beliefs being differential predictors of class membership. The study enhances our understanding of PGD symptomology outcome according to the newest DSM-5 criteria in non-Western contexts, highlighting the importance of sociocultural frameworks in grief management.
PSYCHIATRY RESEARCH
(2021)
Article
Health Care Sciences & Services
Daniel McNeish, Jeffrey R. Harring
Summary: Growth mixture models are a popular method for uncovering heterogeneity in growth trajectories, but applying them to empirical data often encounters issues such as nonconvergence. While researchers may resort to adding constraints to the random effect covariance structure for estimation, this approach can negatively impact parameter estimation and class assignment. Therefore, advocating for specifying models using a marginal approach to prevent sacrificing class-specific covariance structures is crucial in handling these challenges.
STATISTICAL METHODS IN MEDICAL RESEARCH
(2021)
Article
Multidisciplinary Sciences
Kangfen Li, Jie Lu, Yan Pang, Xinlie Zheng, Ran Liu, Min Ren, Suhua Tu
Summary: This cross-sectional survey aimed to explore the categories and characteristics of maternal postpartum depression literacy. The study found three categories of maternal postpartum depression literacy: low literacy, moderate literacy, and high literacy. Factors such as work status, education level, pregnancy planning, participation in mental health-related courses, and family functioning status were found to influence the category of maternal postpartum depression literacy. It is important for medical staff to implement targeted interventions based on the category characteristics and influencing factors to improve postpartum depression literacy.
Article
Clinical Neurology
Jingqun Wang, Mengdi Xu, Xiaotong Li, Yutong Ni
Summary: This study examined the heterogeneity of hopelessness among Chinese college students during COVID-19, and found three distinct sub-groups based on emotion, motivation, and cognition. The severity of depression varied among these sub-groups, with traumatic experiences being a risk factor for higher levels of hopelessness. These findings have important implications for targeted interventions and mental health support in college students.
JOURNAL OF AFFECTIVE DISORDERS
(2023)
Article
Clinical Neurology
Jinyoung Jang, Hyun-Sung Jung, Kyunghee Chae, Kyoung-Uk Lee
Summary: This study identified differences between individuals with and without depression regarding demographic and socioeconomic variables, health behavior, health status, health care utilization, and self-rated health (SRH) to identify the depressed group's SRH trajectories. The depressed group had a lower mean SRH than the non-depressed group among most variables.
JOURNAL OF AFFECTIVE DISORDERS
(2023)
Article
Clinical Neurology
Sandra J. Weiss, Heather Flynn, Lisa Christian, Liisa Hantsoo, Teresa Lanza di Scalea, Sara L. Kornfield, Maria Muzik, Diana Simeonova, Bruce A. Cooper, Anna Strahm, Kristina M. Deligiannidis
Summary: The study identified three distinct profiles of depressive symptoms among high-risk women, including generally asymptomatic, elevated symptoms of comorbid anxiety and depression, and somatic symptoms. Financial security and greater social support were protective factors, while menstrual irregularity and stronger expression of neurovegetative symptoms characterized the different classes.
JOURNAL OF AFFECTIVE DISORDERS
(2021)
Article
Psychology, Multidisciplinary
Jie Li, Yihua Sun, Fiona Maccallum, Amy Y. M. Chow
Summary: The study explored the co-occurrence of depression, anxiety, and post-traumatic growth among bereaved Chinese adults and identified differential predictors of class membership. The findings highlight the important role of stressor characteristics and support in influencing impairment and positive outcomes in bereavement.
FRONTIERS IN PSYCHOLOGY
(2021)
Article
Statistics & Probability
Caleb Kwon, Eric Mbakop
Summary: In this study, a novel estimator for the number of mixture components in a nonparametric finite mixture model is proposed. The estimator is based on the rank of an integral operator identified from the data and the stability of singular values under perturbations. It is shown to be consistent and has finite sample performance guarantees. Monte Carlo simulations demonstrate good performance for moderate sample sizes.
ANNALS OF STATISTICS
(2021)
Review
Public, Environmental & Occupational Health
Sung Hoo Kim
Summary: This study examines how heterogeneity is considered in transportation safety analyses, focusing on the use of latent class modeling. The study identifies relevant papers in the field and analyzes the key elements of the latent class model. Various class-specific outcome models have been used in the literature, depending on the type of outcome variable and the analysis context. The number of classes selected in empirical applications is often based on the analyst's judgement rather than quantitative measures.
ANALYTIC METHODS IN ACCIDENT RESEARCH
(2023)
Article
Psychology, Multidisciplinary
Christian Kissler, Christin Schwenk, Joerg-Tobias Kuhn
Summary: The study identified two subtypes in individuals with dyscalculia, with differences mainly in mathematical abilities and possibly in attention. Intelligence differences were not significant between subtypes, while working memory and reading fluency were found to have negligible differences. The results appeared to be robust regardless of the diagnostic test used.
FRONTIERS IN PSYCHOLOGY
(2021)
Article
Health Care Sciences & Services
Shao-Hsien Liu, Stavroula A. Chrysanthopoulou, Qiuzhi Chang, Jacob N. Hunnicutt, Kate L. Lapane
Article
Cardiac & Cardiovascular Systems
Rajesh Vedanthan, Jemima H. Kamano, Allison K. DeLong, Violet Naanyu, Cynthia A. Binanay, Gerald S. Bloomfield, Stavroula A. Chrysanthopoulou, Eric A. Finkelstein, Joseph W. Hogan, Carol R. Horowitz, Thomas S. Inui, Diana Menya, Vitalis Orango, Eric J. Velazquez, Martin C. Were, Sylvester Kimaiyo, Valentin Fuster
JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
(2019)
Article
Medicine, General & Internal
Benjamin P. Linas, Alexandra Savinkina, R. W. M. A. Madushani, Jianing Wang, Golnaz Eftekhari Yazdi, Avik Chatterjee, Alexander Y. Walley, Jake R. Morgan, Rachel L. Epstein, Sabrina A. Assoumou, Sean M. Murphy, Bruce R. Schackman, Stavroula A. Chrysanthopoulou, Laura F. White, Joshua A. Barocas
Summary: The study identified three interventions (initiating more people to MOUD, increasing retention with MOUD, and increasing naloxone distribution) associated with a 40% reduction in opioid overdose mortality. The results showed that only communities with increased capacity for MOUD treatment and retention experienced the desired decrease in overdose mortality. These findings could help guide the development of community-level interventions to combat opioid overdose deaths.
Article
Cardiac & Cardiovascular Systems
Rajesh Vedanthan, Jemima H. Kamano, Stavroula A. Chrysanthopoulou, Richard Mugo, Benjamin Andama, Gerald S. Bloomfield, Cleophas W. Chesoli, Allison K. DeLong, David Edelman, Eric A. Finkelstein, Carol R. Horowitz, Simon Manyara, Diana Menya, Violet Naanyu, Vitalis Orango, Sonak D. Pastakia, Thomas W. Valente, Joseph W. Hogan, Valentin Fuster
Summary: Incorporating group medical visits and microfinance into care delivery for chronic diseases can lead to blood pressure reduction. Combining group medical visits and microfinance strategies for individuals with diabetes or hypertension in Kenya resulted in clinically meaningful systolic blood pressure reductions.
JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
(2021)
Article
Health Care Sciences & Services
Stavroula A. Chrysanthopoulou, Carolyn M. Rutter, Constantine A. Gatsonis
Summary: Calibration of microsimulation models is crucial but challenging. This study compared a Bayesian and an empirical approach for calibration, with the Bayesian method providing more accurate predictions for rare events. Combining both methods could be an alternative worth considering for calibrating complex predictive models.
MEDICAL DECISION MAKING
(2021)
Article
Public, Environmental & Occupational Health
Felicita Omari, Stavroula A. Chrysanthopoulou, Lonnie E. Embleton, Lukoye Atwoli, David O. Ayuku, Edwin Sang, Paula Braitstein
Summary: The study found that OSCA living in CCIs in western Kenya were significantly less likely to be diagnosed with PTSD, depression, anxiety, and suicidality compared to those in FBC, while SCY were significantly more likely to be diagnosed with these mental health issues compared to those in FBC.
Review
Geriatrics & Gerontology
Jennie B. Davidow, Benjamin S. Zide, Leonard L. Levin, Kelsey D. Biddle, Juan Carlos Urizar, Nancy J. Donovan
Summary: The loss of a spouse is a common life event for older adults, with nearly one in four bereaved experiencing prolonged grief, impaired function, or chronic depression. The mechanisms behind these long-term health risks are not well understood. A scoping literature review was conducted to examine interventions and outcomes for late-life spousal bereavement. 22 studies were identified, mostly focusing on grief processes in the first year. Emotional and psychological symptoms were evaluated in most studies, while a smaller number looked at adaptive functioning. Findings were diverse, highlighting the need for further exploration of biological, social, cognitive, and behavioral factors to improve short and long-term health outcomes.
AMERICAN JOURNAL OF GERIATRIC PSYCHIATRY
(2022)
Review
Clinical Neurology
Jia-In Lee, Jessica N. Busler, Caitlin E. Millett, Jessica L. Principe, Leonard L. Levin, Alexandra Corrigan, Katherine E. Burdick
Summary: There is increasing evidence supporting a bidirectional relationship between major depressive disorder (MDD) and obesity, especially in vulnerable groups such as individuals who are overweight/obese, postmenopausal women, and individuals with comorbid medical or psychiatric illness. Additionally, sex differences and aging play a role in the relationship between visceral adipose tissue (VAT) and MDD, with certain factors affecting the strength of the association between VAT and depression.
Review
Acoustics
Mindy Lipsitz, Leonard Levin, Vinay Sharma, Jeffrey Herrala, Asmaa Rimawi, Denie Bernier, Heidi Kimberly, Andrew Thomson, Zach Soucy, Patricia Henwood
Summary: Bedside ultrasound has been shown to impact patient management in emergent settings, with increased demand and diagnostic potential for point-of-care ultrasound (POCUS). The COVID-19 pandemic has further necessitated POCUS innovation, leading to the rise of teleultrasound education, especially in resource-limited settings. This scoping review explores the current state of teleultrasound for educational purposes.
JOURNAL OF ULTRASOUND IN MEDICINE
(2022)
Article
Health Care Sciences & Services
Peter Shewmaker, Stavroula A. Chrysanthopoulou, Rowan Iskandar, Derek Lake, Eric Jutkowitz
Summary: Mathematical health policy models, including microsimulation models, are commonly used to simulate complex processes and predict outcomes. Bayesian calibration methods, such as approximate Bayesian computation, are popular for parameter estimation and uncertainty evaluation. However, there is limited practical guidance on implementing ABC to calibrate MSMs in medical decision-making literature.
MEDICAL DECISION MAKING
(2022)
Article
Health Policy & Services
Su Aung, Nicole Hardy, Stavroula Chrysanthopoulou, Nyan Htun, Aung Kyaw, Min San Tun, Khaymar Win Aung, Rami Kantor, Aadia Rana
Summary: A study in Myanmar compared people living with HIV who received peer counseling versus standard counseling, showing that peer counseling led to less stigma, better adherence to antiretroviral therapy, and more appreciation for knowledge from the counselor.
AIDS CARE-PSYCHOLOGICAL AND SOCIO-MEDICAL ASPECTS OF AIDS/HIV
(2022)
Article
Health Policy & Services
Marta Wilson-Barthes, Stavroula A. Chrysanthopoulou, Lukoye Atwoli, David Ayuku, Paula Braitstein, Omar Galarraga
Summary: This study evaluated the cost-effectiveness of Charitable Children's Institutions compared to family-based settings for improving mental health outcomes among orphaned and separated children and adolescents. The results showed that Charitable Children's Institutions may be more cost-effective in improving the mental health of OSCA compared to family-based care.
JOURNAL OF MENTAL HEALTH POLICY AND ECONOMICS
(2021)
Meeting Abstract
Health Care Sciences & Services
Stavroula Chrysanthopoulou, Jianing Wang, Shayla Nolen, Benjamin P. Linas, Laura F. White
MEDICAL DECISION MAKING
(2021)
Meeting Abstract
Cardiac & Cardiovascular Systems
Rajesh Vedanthan, Jemima Kamano, Stavroula Chrysanthopoulou, Richard Mugo, Benjamin Andama, Gerald S. Bloomfield, Cleophas Chesoli, Allison DeLong, David Edelman, Eric Finkelstein, Carol R. Horowitz, Simon Manyara, Diana Menya, Violet Naanyu, Vitalis Orango, Sonak Pastakia, Thomas Valente, Joseph Hogan, Valentin Fuster
Article
Demography
Maria Carolina Velasco, Stavroula Chrysanthopoulou, Omar Galarraga
STUDIES IN FAMILY PLANNING
(2020)