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Table_1_The relations between socio-demographic information and negative symptoms, mental health, and quality of life: a latent profile analysis with psychotic patients in Kosovo.DOCX

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NIAID Data Ecosystem2026-05-01 收录
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https://figshare.com/articles/dataset/Table_1_The_relations_between_socio-demographic_information_and_negative_symptoms_mental_health_and_quality_of_life_a_latent_profile_analysis_with_psychotic_patients_in_Kosovo_DOCX/23752437
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The current study aims to identify meaningful psychotic patients’ profiles by examining certain combinations of patient’s demographic and socio-economic variables (sex, age, marital status, number of children, cohabitant and level of education). Moreover, we aim to assess whether there is any significant effect of class membership (profile) on negative symptoms, health state, and quality of life among psychotic patients. A convenience sample of 103 patients (age: M = 22, SD = 1.75), was drawn from the clinical populations of Kosovo. Demographic and socio-economic data was obtained through individual interviews, meanwhile a battery of questionnaires was used to assess negative symptoms, mental health, and quality of life of patients. The 4-class solution was selected as the best fitting model and used in subsequent analyses. Results indicated a significant effect of class membership on health state, quality of life and negative symptoms. Practical implications are discussed.
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2023-07-26
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