The 5-Factor Model of Personality and Antidepressant Medication Compliance

Cohen, Nicole; Ross, E. Clarke; Bagby, R. Michael; Farvolden, Peter; Kennedy, Sidney H.

doi:10.1177/070674370404900205

Cited by 50 publications

(61 citation statements)

References 43 publications

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“…These results support the findings of Allan and Hodgson,14 who determined the best cooperators during orthodontic treatment were trustworthy. These results also coincide with the findings of Cohen et al, 9 who noted that patients high in modesty, another trait found within the agreeableness dimension of the modified BFI-10, displayed a positive correlation with patient adherence. Furthermore, they proposed that individuals scoring high in the agreeableness dimension may demonstrate more reverence to individuals of authority and be more likely to follow recommended medical instructions.…”

Section: Discussionsupporting

confidence: 91%

“…They did note that the agreeableness dimension demonstrated slightly reduced performance in the abbreviated model and recommended the addition of a third question, ''Is considerate and kind to almost everyone,'' to improve its performance, thus generating the modified BFI-10 instrument. This 11-item instrument would be a useful personality trait assessment tool for orthodontists because it (1) is succinct in nature, 4 (2) has been previously validated, 4 (3) is applicable in preadolescent populations, 7 and (4) has been used in the medical [7][8][9][10] and dental 8,11,12 literature. Few studies have investigated the relationship between a patient's personality characteristics and his potential adherence to certain treatment in orthodontics.…”

Section: Introductionmentioning

confidence: 99%

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Personality traits as a potential predictor of willingness to undergo various orthodontic treatments

Hansen

Liu

Schrader

et al. 2013

The Angle Orthodontist

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Objective: To establish an association between patient personality traits and potential willingness to undergo various orthodontic treatments. Materials and Methods: One hundred adolescent individuals aged 12-16 years completed an anonymous electronic questionnaire via Survey Monkey. The 24-item questionnaire contained three major sections: patient demographics, a modified Big Five Inventory (BFI)-10 personality index, and a willingness to undergo treatment assessment. Multiple-variable linear regression analyses were used to determine the associations among age, gender, ethnicity, and the five personality traits simultaneously with willingness to undergo treatment. Statistical significance was set at P # .05. Results: Ninety-six of the 100 individuals were included in the statistical analysis. Age, ethnicity, and gender failed to correlate with potential willingness to undergo orthodontic treatment. Several personality dimensions within the modified BFI-10 (agreeableness, conscientiousness, and neuroticism) were significantly associated with willingness to undergo various orthodontic treatments (P # .05). Agreeableness demonstrated positive correlations with five treatment modalities, while both conscientiousness and neuroticism exhibited negative associations with a single treatment modality. Openness and extraversion were the only personality dimensions that failed to associate with any of the treatment modalities. Four of the nine treatment modalities had no association with patient demographics or a patient's personality dimensions. Conclusions: Personality traits are useful in predicting a patient's potential willingness to participate in various orthodontic treatments. The agreeableness dimension provided the most utility in predicting patient willingness. Age, ethnicity, and gender were not significant in predicting patient willingness. (Angle Orthod. 2013;83:899-905.)

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Section: Discussionsupporting

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Personality traits as a potential predictor of willingness to undergo various orthodontic treatments

Hansen

Liu

Schrader

et al. 2013

The Angle Orthodontist

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Section: Per S Ona L I T Y a S Pr Edic Tor O F Mis Sing Datamentioning

confidence: 99%

“…[20][21][22][23][24] Higher levels of Conscientiousness have been consistently associated with better adherence to chronic illness therapies. [25][26][27][28][29][30][31] Similar associations might exist between Conscientiousness and incomplete trial data, but no studies have addressed this question, and associations between other FFM factors and missing data are also unexplored.We examined the relationship of FFM personality factors to missing data in a RCT of Homing in on Health (HIOH), which was developed to make the Chronic Disease Self-Management Program (CDSMP) 32,33 available to persons less able or willing to participate in group training. The goals were to determine whether in-home and telephone-delivered HIOH would enhance self-effi cacy, or confi dence for executing self-management tasks, and improve outcomes in persons with chronic conditions.…”

mentioning

confidence: 99%

Is Personality a Key Predictor of Missing Study Data? An Analysis From a Randomized Controlled Trial

Jerant¹,

Chapman²,

Duberstein³

et al. 2009

The Annals of Family Medicine

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PURPOSE Little is known regarding the effects of psychological factors on data collection in research studies. We examined whether Five Factor Model (FFM) personality factors-Neuroticism, Extraversion, Openness, Agreeableness, and Conscientiousness-predicted missing data in a randomized controlled trial (RCT).METHODS Individuals (N = 415) aged 40 years and older with various chronic conditions, plus basic activity impairment, depressive symptoms, or both, were recruited from a primary care network and enrolled in a 6-week RCT of an illness self-management intervention, delivered by means of home visits or telephone calls or usual care. Random effects logistic regression modeling was used to examine whether FFM factors predicted missing illness management self-effi cacy data at any scheduled follow-up (2, 4, and 6 weeks, and 6 and 12 months), controlling for disease burden, study arm, and sociodemographic characteristics.RESULTS Across all follow-up points, the missing data rate was 4.5%. Higher levels of Openness (adjusted odds ratio [AOR] for 1-SD increase = 0.24; 95% CI, 0.12-0.46; P <.001), Agreeableness (AOR = 0.29; CI 0.14-0.60; P = .001), and Conscientiousness (AOR = 0.24; CI 0.15-0.50; P <.001) were independently associated with fewer missing data. Accuracy of the missing data prediction model increased when personality variables were added (change in area under the receiver operating characteristic curve from 0.71 to 0.77; χ 2 1 = 6.6; P = .01).CONCLUSIONS Personality was a powerful predictor of missing study data in this RCT. Assessing personality could inform efforts to enhance data completion and adjust analyses for bias caused by missing data. Ann Fam Med 2009;7:148-156. DOI: 10.1370/afm.920. INTRODUCTIOND espite advantages compared with observational studies, randomized controlled trials (RCTs) have limitations.1 One threat to their validity is bias resulting from nonrandom missing data. Commonly measured sociodemographic [2][3][4][5][6] and health status 7-9 variables have been associated with missing data caused by study attrition. Because such variables may also affect study outcomes, bias in the assessment of treatment effects may occur, though statistical adjustment can mitigate bias.Psychological factors also likely affect study participants' decisions to drop out from, keep data collection appointments for, or complete all questionnaire items in clinical research studies, yet they are rarely measured. This omission may be critical in assessing the validity and applicability of studies, since adherence to study protocols, including placebos, can have profound effects on outcomes, comparable to active treatment effects. [10][11][12] Although earlier studies have explored attrition resulting from psychological factors in patients with psychiatric disorders [13][14][15] [17][18][19] The result of more than 7 decades of research, 17 FFM factors are empirically derived, broad clusters of behavioral and dispositional tendencies (Table 1). They capture the major axes of psychological and beh...

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“…En cuanto al tratamiento del dolor, la personalidad influye en el cumplimiento de las prescripciones terapéuticas en general y farmacológicas en particular, independientemente de la intensidad de los efectos secundarios y del grado de alianza terapéutica (62). Además, también puede determinar la eficacia de una intervención terapéutica.…”

Section: Influencia De La Personalidad En El Tratamiento Del Dolorunclassified

Personalidad y fibromialgia

Torres¹

2017

Rev. Soc. Esp. Dolor.

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Este es un archivo PDF de un manuscrito inédito que ha sido aceptado para su publicación en la Revista de la Sociedad Española del Dolor. Como un servicio a nuestros clientes estamos proporcionando esta primera versión del manuscrito en estado de prepublicación. El manuscrito será sometido a la corrección de estilo final, composición y revisión de la prueba resultante antes de que se publique en su forma final. Tenga en cuenta que durante el proceso de producción se pueden dar errores lo que podría afectar el contenido final. El copyright y todos los derechos legales que se aplican al artículo pertenecen a la Revista de la Sociedad Española de Dolor.

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The 5-Factor Model of Personality and Antidepressant Medication Compliance

Cited by 50 publications

References 43 publications

Personality traits as a potential predictor of willingness to undergo various orthodontic treatments

Personality traits as a potential predictor of willingness to undergo various orthodontic treatments

Is Personality a Key Predictor of Missing Study Data? An Analysis From a Randomized Controlled Trial

Personalidad y fibromialgia

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