Background: The study of chronicity in the course of major depression has been complicated by varying definitions of this illness feature. Because familial clustering is one component of diagnostic validity we compared family clustering of chronicity as defined in the DSM-IV to that of chronicity determined by an assessment of lifetime course of depressive illness.
Methods: In 1750 affected subjects from 652 families recruited for a genetic study of recurrent, early-onset depression, we applied several definitions of chronicity. Odds ratios were determined for the likelihood of chronicity in a proband predicting chronicity in an affected relative.
Results: There was greater family clustering of chronicity as determined by assessment of lifetime course (OR=2.54) than by DSM-IV defined chronic major depressive episode (MDE) (OR=1.93) or dysthymic disorder (OR=1.76). In families with probands who had preadolescent onset of MDD, familiality was increased by all definitions, with a much larger increase observed for chronicity by lifetime course (ORs were 6.14 for lifetime chronicity, 2.43 for chronic MDE, and 3.42 for comorbid dysthymic disorder). Agreement between these definitions of chronicity was only fair.
Limitations: The data used to determine chronicity were collected retrospectively and not blindly to relatives' status, and assessment of lifetime course was based on global clinical impressions gathered during a semi-structured diagnostic interview. Also, it can be difficult to determine whether individuals with recurrent major depressive episodes who frequently experience long periods of low grade depressive symptoms meet the strict timing requirements of DSM-IV dysthymic disorder.
Conclusions: An assessment of lifetime symptom course identifies a more familial, and thus possibly a more valid, type of chronic depression than the current DSM-IV categories which are defined in terms of particular cross-sectional features of illness.
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http://dx.doi.org/10.1016/j.jad.2006.10.011 | DOI Listing |
J Am Coll Health
January 2025
Division of Thoracic Surgery and Interventional Pulmonology, Swedish Cancer Institute, Seattle, Washington, USA.
Objective: To use egocentric network analysis (ENA) to identify how the role of social networks relates to e-cigarette use among college fraternity members.
Participants: 212 fraternity members participated in this study.
Methods: Hierarchical logistic regression analyses assessed the relationship between egocentric network variables and ever use and current use of e-cigarettes.
ACS Appl Mater Interfaces
January 2025
Département de chimie, Université de Sherbrooke, Sherbrooke, Québec J1K 2R1, Canada.
Two new nonfused ring nonfullerene electron acceptors, NFAs, (dicarbazolyl)bis(2-(3-oxo-2,3-dihydro-1-inden-1-ylidene)malononitrile) () and -(2-(5,6-fluoro-3-oxo-2,3-dihydro-1-inden-1-ylidene)malononitrile) (), thus exhibiting an A-D-A motif, were synthesized and characterized. As thin films, they exhibit the lowest energy absorption signature near 540 nm, extending down to ∼700 nm. This band is due to an intramolecular charge transfer process from the (nonfused dicarbazoyl; ) moiety to the malononitrile-based units () based on density functional theory calculations (DFT), which are also corroborated by time-dependent DFT (TDDFT) computations.
View Article and Find Full Text PDFEnviron Sci Process Impacts
January 2025
Univ. Lille, CNRS, UMR 8522, Physico-Chimie des Processus de Combustion et de l'Atmosphère - PC2A, 59000 Lille, France.
Fenpyrazamine (FPA) is a widely used fungicide in agriculture to control fungal diseases, but its environmental degradation by oxidants and the formation of potential degradation products remain unexplored. This study investigates the oxidation of FPA by hydroxyl radicals (HO˙) using density functional theory (DFT) calculations at the M06-2X/6-311++G(3df,3pd)//M06-2X/6-31+G(d,p) level of theory. Three standard oxidation mechanisms, including formal hydrogen transfer (FHT), radical adduct formation (RAF), and single electron transfer (SET), were evaluated in the aqueous phase, with reaction kinetics analyzed over a temperature range of 283-333 K.
View Article and Find Full Text PDFFront Artif Intell
December 2024
College of Economics and Management, Beijing University of Technology, Beijing, China.
There has been a rapid rise in utilization of artificial intelligence (AI) in many different sectors in the last several years. However, business-to-business (B2B) marketing is one of the more notable examples. The initial assessments emphasize the significant advantages of AI in B2B marketing, including its knack for yielding unique understandings into consumer behaviors, recognizing crucial market trends, and improving operational efficiency.
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