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Metabolic profile at first-time schizophrenia diagnosis: a population-based cross-sectional study

Overview of attention for article published in Neuropsychiatric Disease and Treatment, February 2017
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Title
Metabolic profile at first-time schizophrenia diagnosis: a population-based cross-sectional study
Published in
Neuropsychiatric Disease and Treatment, February 2017
DOI 10.2147/ndt.s119632
Pubmed ID
Authors

Henriette Thisted Horsdal, Michael Eriksen Benros, Ole Köhler-Forsberg, Jesper Krogh, Christiane Gasse

Abstract

Schizophrenia and/or antipsychotic drug use are associated with metabolic abnormalities; however, knowledge regarding metabolic status and physician's monitoring of metabolic status at first schizophrenia diagnosis is sparse. We assessed the prevalence of monitoring for metabolic blood abnormalities and characterized the metabolic profiles in people with a first-time schizophrenia diagnosis. This is a population-based cross-sectional study including all adults born in Denmark after January 1, 1955, with their first schizophrenia diagnosis between 2000 and 2012 in the Central Denmark Region. Information on metabolic parameters was obtained from a clinical laboratory information system. Associations were calculated using Wilcoxon rank-sum tests, chi-square tests, logistic regression, and Spearman's correlation coefficients. A total of 2,452 people with a first-time schizophrenia diagnosis were identified, of whom 1,040 (42.4%) were monitored for metabolic abnormalities. Among those monitored, 58.4% had an abnormal lipid profile and 13.8% had an abnormal glucose profile. People who had previously filled prescription(s) for antipsychotic drugs were more likely to present an abnormal lipid measure (65.7% vs 46.8%, P<0.001) and abnormal glucose profile (16.4% vs 10.1%, P=0.01). Metabolic abnormalities are common at first schizophrenia diagnosis, particularly among those with previous antipsychotic prescription(s). Increased metabolic abnormalities already present in the early phase of schizophrenia emphasize the need for increased monitoring and management.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 19%
Researcher 5 16%
Student > Master 4 13%
Student > Doctoral Student 2 6%
Student > Bachelor 1 3%
Other 2 6%
Unknown 12 38%
Readers by discipline Count As %
Medicine and Dentistry 8 25%
Psychology 3 9%
Social Sciences 2 6%
Arts and Humanities 1 3%
Nursing and Health Professions 1 3%
Other 1 3%
Unknown 16 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 March 2017.
All research outputs
#20,110,957
of 25,584,565 outputs
Outputs from Neuropsychiatric Disease and Treatment
#2,171
of 3,120 outputs
Outputs of similar age
#308,269
of 426,137 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#56
of 74 outputs
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