Dataset Information

Assessing the validity of a self-reported clinical diagnosis of schizophrenia.

ABSTRACT:

Background

Diagnoses in psychiatric research can be derived from various sources. This study assesses the validity of a self-reported clinical diagnosis of schizophrenia.

Methods

The study included 3,029 clinically ascertained participants with schizophrenia or psychotic disorders diagnosed by self-report and/or research interview and 1,453 UK Biobank participants with self-report and/or medical record diagnosis of schizophrenia or schizoaffective disorder depressed-type (SA-D). We assessed positive predictive values (PPV) of self-reported clinical diagnoses against research interview and medical record diagnoses. We compared polygenic risk scores (PRS) and phenotypes across diagnostic groups, and compared the variance explained by schizophrenia PRS to samples in the Psychiatric Genomics Consortium (PGC).

Results

In the clinically ascertained sample, the PPV of self-reported schizophrenia to a research diagnosis of schizophrenia was 0.70, which increased to 0.81 when benchmarked against schizophrenia or SA-D. In UK Biobank, the PPV of self-reported schizophrenia to a medical record diagnosis was 0.74. Compared to self-report participants, those with a research diagnosis were younger and more likely to have a high school qualification (clinically ascertained sample) and those with a medical record diagnosis were less likely to be employed or have a high school qualification (UK Biobank). Schizophrenia PRS did not differ between participants that had a diagnosis from self-report, research diagnosis or medical record diagnosis. Polygenic liability r², for all diagnosis definitions, fell within the distribution of PGC schizophrenia cohorts.

Conclusions

Self-report measures of schizophrenia are justified in research to maximise sample size and representativeness, although within sample validation of diagnoses is recommended.

SUBMITTER: Woolway GE

PROVIDER: S-EPMC10723562 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature

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Publications

Assessing the validity of a self-reported clinical diagnosis of schizophrenia.

Woolway Grace E GE Legge Sophie E SE Lynham Amy A Smart Sophie E SE Hubbard Leon L Daniel Ellie R ER Pardiñas Antonio F AF Escott-Price Valentina V O'Donovan Michael C MC Owen Michael J MJ Jones Ian R IR Walters James Tr JT

medRxiv : the preprint server for health sciences 20231208

<h4>Background</h4>Diagnoses in psychiatric research can be derived from various sources. This study assesses the validity of a self-reported clinical diagnosis of schizophrenia.<h4>Methods</h4>The study included 3,029 clinically ascertained participants with schizophrenia or psychotic disorders diagnosed by self-report and/or research interview and 1,453 UK Biobank participants with self-report and/or medical record diagnosis of schizophrenia or schizoaffective disorder depressed-type (SA-D). W ...[more]

PMID: 38106032

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Project description:The increasing availability of biobanks is changing the way individuals are identified for genomic research. This study assesses the validity of a self-reported clinical diagnosis of schizophrenia. The study included 1744 clinically-ascertained participants with schizophrenia or schizoaffective disorder depressed-type (SA-D) diagnosed by self-report and/or research interview and 1453 UK Biobank participants with self-reported and/or medical record diagnosis of schizophrenia or SA-D. Unaffected controls included a total of 501,837 participants. We assessed the positive predictive values (PPV) of self-reported clinical diagnoses against research interview and medical record diagnoses. Polygenic risk scores (PRS) and phenotypes relating to demographics, education and employment were compared across diagnostic groups. The variance explained (r2) in schizophrenia PRS for each diagnostic group was compared to samples in the Psychiatric Genomics Consortium (PGC). In the clinically-ascertained participants, the PPV of self-reported schizophrenia for a research diagnosis of schizophrenia was 0.70, which increased to 0.81 after expanding the research diagnosis to schizophrenia or SA-D. In UK Biobank, the PPV of self-reported schizophrenia for a medical record diagnosis was 0.74. Compared to participants who self-reported, participants with a clinically-ascertained research diagnosis were younger and more likely to have a high school qualification. Participants with a medical record diagnosis in UK Biobank were less likely to be employed or have a high school qualification than those who self-reported. Schizophrenia PRS did not differ between participants that had a diagnosis from self-report, research diagnosis or medical records. Polygenic liability r2, for all diagnosis definitions, fell within the distribution of PGC schizophrenia cohorts. Self-reported measures of schizophrenia are justified in genomic research to maximise sample size and reduce the burden of in-depth interviews on participants, although within sample validation of diagnoses is recommended.

Project description:Collecting dietary intake data is associated with challenges due to the subjective nature of self-administered instruments. Biomarkers may objectively estimate the consumption of specific dietary items or help assess compliance in dietary intervention studies. Our aim was to use a panel of plasma and urine biomarkers to assess the validity of self-reported dietary intake using a modified Mediterranean Diet Scale (mMDS) among firefighters participating in Feeding America's Bravest (FAB), an MD cluster-randomized controlled trial. In our nested biomarker pilot study, participants were randomly selected from both the MD intervention group (n = 24) and the control group (n = 24) after 12-months of dietary intervention. At baseline data collection for the pilot study (t = 12-months of FAB), participants in the control group crossed-over to receive the MD intervention (active intervention) for 6-months. Participants in the intervention group continued in a self-sustained continuation phase (SSP) of the intervention. Food frequency questionnaires (FFQ), 13-item-mMDS questionnaires, 40 plasma fatty acids, inflammatory biomarkers and urinary hydroxytyrosol and tyrosol were analyzed at both time points. Spearman's correlation, t-tests and linear regression coefficients were calculated using SAS software. Overall, the mMDS derived from the FFQ was highly correlated with the specific 13-domain-mMDS (r = 0.74). The concordance between the two questionnaires for low and high adherence to MD was high for all the participants in the parent trial (κ = 0.76). After 6 months of intervention in the pilot study, plasma saturated fatty acid decreased in both groups (active intervention: -1.3 ± 1.7; p = 0.002; SSP: -1.12 ± 1.90; p = 0.014) and oleic acid improved in the SSP (p = 0.013). Intake of olive oil was positively associated with plasma omega-3 (p = 0.004) and negatively with TNF-α (p < 0.001) at baseline. Choosing olive oil as a type of fat was also associated with higher levels of plasma omega-3 (p = 0.019) at baseline and lower TNF-α (p = 0.023) at follow up. Intake of red and processed meats were associated with lower serum omega-3 (p = 0.04) and fish consumption was associated with lower IL-6 at baseline (p = 0.022). The overall mMDS was associated with an increase in plasma omega-3 (p = 0.021). Good correlation was found between nutrient intake from the FFQ and the corresponding plasma biomarkers (omega-3, EPA and DHA). In this MD randomized controlled trial, some key plasma biomarkers were significantly associated with key MD diet components and the overall mMDS supporting the validity of the mMDS questionnaire as well as compliance with the intervention.

Project description:PurposeThe objective of this study is to determine whether summary estimates of a self-report physical activity questionnaire that does not specifically assess frequency or duration (the Coronary Artery Risk Development in Young Adults (CARDIA) physical activity history (PAH)) differs from the summary estimates of one that does (CARDIA Supplemental Questionnaire).MethodsAfter the year 25 examination (2010-2011), 203 CARDIA black and white men and women (age 50.3 ± 3.6 yr) at the Oakland, CA, site participated in this comparison study. The between-questionnaire association and agreement were determined for continuous and categorical estimates on the basis of 1) quartiles and 2) meeting 2008 physical activity guidelines. Differences in participant characteristics by concordance/discordance status were also examined. Finally, receiver operating characteristic curves were computed to determine the accuracy of the PAH compared with the supplemental questionnaire.ResultsReported physical activity levels were high and varied significantly by race and sex (all P < 0.01). Between-questionnaire estimates were significantly correlated (rho = 0.75 to 0.90, all P < 0.001) and had high agreement (κ = 0.51 to 0.80) across all race/sex groups. A higher proportion of women than men were classified as concordant by quartile of vigorous intensity (P = 0.001), but no other participant characteristics were associated with concordant/discordant quartile ranking. Participants classified as concordant on the basis of physical activity guidelines had lower body mass index than those classified as discordant (both P < 0.05). The area under the curve was 0.95, suggesting that the PAH has high accuracy for classifying individuals as meeting physical activity guidelines.ConclusionsAlthough it is inconvenient that the PAH is not expressed in more standard units, these findings support the practice of not directly assessing frequency and duration, which are frequent sources of reporting error.

Dataset Information

Assessing the validity of a self-reported clinical diagnosis of schizophrenia.

Background

Methods

Results

Conclusions

Publications

Assessing the validity of a self-reported clinical diagnosis of schizophrenia.

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