Dataset Information

Unraveling the relationship between trait negative affectivity and habitual symptom reporting.

ABSTRACT:

Objective

In two studies, we aimed at further elucidating the relationship between trait negative affectivity (NA) and habitual symptom reporting (HSR) by relating these variables to measures of executive function, trait questionnaires, and effects of emotion induction.

Methods

Healthy female participants (N = 75) were selected on their scores for trait NA and for the Checklist for Symptoms in Daily Life. Three groups were compared: (1) low NA-low HSR; (2) high NA-low HSR; and (3) high NA-high HSR (low NA-high HSR did not occur). In study 1, participants underwent a Parametric Go/No-go Task and a Stroop Color-Word test, and trait questionnaires measured alexithymia and absorption. Forty-five participants (N = 15 in each group) were further engaged in study 2 to induce state NA using an affective picture paradigm.

Results

Impaired inhibition on the Stroop and Go/No go Task characterized high trait NA, but not high HSR, whereas alexithymia and absorption were elevated in HSR, regardless of trait NA. Negative picture viewing induced elevated state NA in all groups, but only high HSR also reported more bodily symptoms. This effect was moderated, but not mediated by state NA.

Conclusion

High trait NA is a vulnerability factor but not a sufficient condition to develop HSR. Deficient inhibition is related to the broad trait of NA, whereas the moderating effect of state NA on symptom reporting is specific for high HSR. Understanding processes related to alexithymia and absorption may specifically help to explain elevated HSR.

SUBMITTER: Bogaerts K

PROVIDER: S-EPMC4300148 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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Publications

Unraveling the relationship between trait negative affectivity and habitual symptom reporting.

Bogaerts Katleen K Rayen Liselotte L Lavrysen Ann A Van Diest Ilse I Janssens Thomas T Schruers Koen K Van den Bergh Omer O

PloS one 20150120 1

<h4>Objective</h4>In two studies, we aimed at further elucidating the relationship between trait negative affectivity (NA) and habitual symptom reporting (HSR) by relating these variables to measures of executive function, trait questionnaires, and effects of emotion induction.<h4>Methods</h4>Healthy female participants (N = 75) were selected on their scores for trait NA and for the Checklist for Symptoms in Daily Life. Three groups were compared: (1) low NA-low HSR; (2) high NA-low HSR; and (3) ...[more]

PMID: 25603317

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Project description:ImportanceAccurate documentation of patient symptoms in the electronic medical record (EMR) is important for high-quality patient care.ObjectiveTo explore inconsistencies between patient self-report on an Eye Symptom Questionnaire (ESQ) and documentation in the EMR.Design, setting, and participantsThis investigation was an observational study in comprehensive ophthalmology and cornea clinics at an academic institution among a convenience sample of 192 consecutive eligible patients, of whom 30 declined participation. Patients were recruited at the Kellogg Eye Center from October 1, 2015, to January 31, 2016. Patients were eligible to be included in the study if they were 18 years or older.Main outcomes and measuresConcordance of symptoms reported on an ESQ with data recorded in the EMR. Agreement of symptom report was analyzed using κ statistics and McNemar tests. Disagreement was defined as a negative symptom report or no mention of a symptom in the EMR for patients who reported moderate to severe symptoms on the ESQ. Logistic regression was used to investigate if patient factors, physician characteristics, or diagnoses were associated with the probability of disagreement for symptoms of blurry vision, pain or discomfort, and redness.ResultsA total of 162 patients (324 eyes) were included. The mean (SD) age of participants was 56.6 (19.4) years, 62.3% (101 of 162) were female, and 84.9% (135 of 159) were white. At the participant level, 33.8% (54 of 160) had discordant reporting of blurry vision between the ESQ and EMR. Likewise, documentation was discordant for reporting glare (48.1% [78 of 162]), pain or discomfort (26.5% [43 of 162]), and redness (24.7% [40 of 162]), with poor to fair agreement (κ range, -0.02 to 0.42). Discordance of symptom reporting was more frequently characterized by positive reporting on the ESQ and lack of documentation in the EMR (Holm-adjusted McNemar P < .03 for 7 of 8 symptoms except for blurry vision [P = .59]). Return visits at which the patient reported blurry vision on the ESQ had increased odds of not reporting the symptom in the EMR compared with new visits (odds ratio, 5.25; 95% CI, 1.69-16.30; Holm-adjusted P = .045).Conclusions and relevanceSymptom reporting was inconsistent between patient self-report on an ESQ and documentation in the EMR, with symptoms more frequently recorded on a questionnaire. These results suggest that documentation of symptoms based on EMR data may not provide a comprehensive resource for clinical practice or "big data" research.

Dataset Information

Unraveling the relationship between trait negative affectivity and habitual symptom reporting.

Objective

Methods

Results

Conclusion

Publications

Unraveling the relationship between trait negative affectivity and habitual symptom reporting.

Similar Datasets

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