RT Journal Article
T1 The network structure of paranoia dimensions and its mental health correlates in the general population: The core role of loneliness
A1 Contreras, Alba
A1 Valiente Ots, M. Carmen
A1 Vázquez Valverde, Carmelo
A1 Trucharte Martínez, Almudena
A1 Peinado Tena, Vanesa
A1 Varese, Filippo
A1 Bentall, Richard P.
AB Paranoid ideas are the most common abnormal beliefs in the schizophrenia spectrum, are also prevalent in nonclinical populations, and are highly correlated with other mental health problems such as anxiety, depression and low levels of well-being. Two previous studies with the same British population sample used confirmatory factor analysis and network analysis to show that the spectrum of paranoid beliefs is made up of four factors or dimensions (i.e., interpersonal sensitivity, mistrust, ideas of reference and ideas of persecution). The aims of this study are: 1) to explore the distribution and the structure of paranoid beliefs in a Spanish general population by applying the network approach and 2) to use network analysis to explore for the first time whether specific domains of paranoid ideation (i.e., dimensions) are specifically associated with mental health correlates such as depression, anxiety, loneliness, and well-being. We found a continuous distribution of paranoid beliefs among the 1328 individuals constituting the sample (e.g., 29,2 % did not endorse any items, 4.6 % endorsed half of the items, while 0.8 % endorsed all paranoid items). Paranoid ideas form three dimensions; interpersonal sensitivity, mistrust, and ideas of persecution (ideas of reference did not form a separate factor). The network model showed that loneliness has a pivotal role in connecting paranoid ideation with general psychopathology measures (i.e., depression, anxiety, loneliness and well-being). Research and clinical implications derived from our findings arealso discussed.
PB Elsevier
SN 1573-2509
YR 2022
FD 2022-06-16
LK https://hdl.handle.net/20.500.14352/71665
UL https://hdl.handle.net/20.500.14352/71665
LA eng
NO CRUE-CSIC (Acuerdos Transformativos 2022)
NO Instituto de Salud Carlos III (ISCIII)
NO Universidad Complutense de Madrid
NO Ministerio de Economía y Competitividad (MINECO)
NO .
DS Docta Complutense
RD 6 abr 2025