Predicting the onset of anxiety syndromes at 12 months in primary care attendees. The PredictA-Spain study

Background: There are no risk algorithms for the onset of anxiety syndromes at 12 months in primary care. We aimed to develop and validate internally a risk algorithm to predict the onset of anxiety syndromes at 12 months. Methods: A prospective cohort study with evaluations at baseline, 6 and 12 months. We measured 39 known risk factors and used multilevel logistic regression and inverse probability weighting to build the risk algorithm. Our main outcome was generalized anxiety, panic and other non-specific anxiety syndromes as measured by the Primary Care Evaluation of Mental Disorders, Patient Health Questionnaire (PRIME-MD-PHQ). We recruited 3,564 adult primary care attendees without anxiety syndromes from 174 family physicians and 32 health centers in 6 Spanish provinces. Results: The cumulative 12-month incidence of anxiety syndromes was 12.2%. The predictA-Spain risk algorithm included the following predictors of anxiety syndromes: province; sex (female); younger age; taking medicines for anxiety, depression or stress; worse physical and mental quality of life (SF-12); dissatisfaction with paid and unpaid work; perception of financial strain; and the interactions sex*age, sex*perception of financial strain, and age*dissatisfaction with paid work. The C-index was 0.80 (95% confidence interval = 0.78–0.83) and the Hedges' g = 1.17 (95% confidence interval = 1.04–1.29). The Copas shrinkage factor was 0.98 and calibration plots showed an accurate goodness of fit. Conclusions: The predictA-Spain risk algorithm is valid to predict anxiety syndromes at 12 months. Although external validation is required, the predictA-Spain is available for use as a predictive tool in the prevention of anxiety syndromes in primary care.This study was supported by the Spanish Ministry of Health (grant FIS references: PI041980, PI041771, PI042450 and PI06/1442) and the Andalusian Council of Health (grant references: 05/403 and 06/278); as well as the Spanish Network of Primary Care Research ‘redIAPP’ (RD06/0018), the ‘Aragón group’ (RD06/0018/0020), the ‘Baleares group’ (RD07/0018/0033), and the ‘SAMSERAP group’ (RD06/0018/0039)

A multilocus phylogeny for worldwide Cantharellus (Cantharellales, Agaricomycetidae)

International audienceAfter a short historical overview of past systematic studies on Cantharellus, discussing delimitation and species diversity of the genus as well as previous, morphology-based, infrageneric classifications, this paper presents the first molecularly-based infrageneric classification of this genus using a multigene phylogenetic approach (nucLSU, mitSSU, RPB2 and tef-1) on a dataset that covers approximately halve of the described chanterelles worldwide, including many type specimens. Six subgenera are recognized and the recognition of subgenus Afrocantharellus as a separate genus is not accepted. The taxonomic value of individual morphological features is discussed as challenged by this new multigene phylogeny which comprises five new sections, one new subgenus and many emendations for previously recognized infrageneric groups. The paper discusses the observed discrepancy in biodiversity of Cantharellus when comparing between studies that focus either on below- or above-ground presence. A preliminary biogeographic hypothesis suggests an ‘out of Africa’ Gondwanan origin as a result of vicariance and subsequent migrations

TRY plant trait database - enhanced coverage and open access

10.1111/gcb.14904GLOBAL CHANGE BIOLOGY261119-18