dat.molloy2014 | R Documentation |
Results from 16 studies on the correlation between conscientiousness and medication adherence.
dat.molloy2014
The data frame contains the following columns:
authors | character | study authors |
year | numeric | publication year |
ni | numeric | sample size of the study |
ri | numeric | observed correlation |
controls | character | number of variables controlled for |
design | character | whether a cross-sectional or prospective design was used |
a_measure | character | type of adherence measure (self-report or other) |
c_measure | character | type of conscientiousness measure (NEO or other) |
meanage | numeric | mean age of the sample |
quality | numeric | methodological quality |
Conscientiousness, one of the big-5 personality traits, can be defined as “socially prescribed impulse control that facilitates task- and goal-directed behaviour, such as thinking before acting, delaying gratification, following norms and rules and planning, organising and prioritising tasks” (John & Srivastava, 1999). Conscientiousness has been shown to be related to a number of health-related behaviors (e.g., tobacco/alcohol/drug use, diet and activity patterns, risky behaviors). A recent meta-analysis by Molloy et al. (2014) examined to what extent conscientiousness is related to medication adherence, that is, the extent to which (typically chronically ill) patients follow a prescribed medication regimen (e.g., taking a daily dose of a cholesterol lowering drug in patients with high LDL serum cholesterol levels). The results from the 16 studies included in this meta-analysis are provided in this dataset.
Variable a_measure
indicates whether adherence was measured based on self-reports or a more ‘objective’ measure (e.g., electronic monitoring of pill bottle openings, pill counts). Variable c_measure
indicates whether conscientiousness was measured with some version of the NEO personality inventory or some other scale. Methodological quality was scored by the authors on a 1 to 4 scale with higher scores indicating higher quality (see article for details on how this score was derived).
psychology, medicine, correlation coefficients
Wolfgang Viechtbauer, wvb@metafor-project.org, https://www.metafor-project.org
Molloy, G. J., O'Carroll, R. E., & Ferguson, E. (2014). Conscientiousness and medication adherence: A meta-analysis. Annals of Behavioral Medicine, 47(1), 92–101. https://doi.org/10.1007/s12160-013-9524-4
John, O. P., & Srivastava, S. (1999). The Big Five Trait taxonomy: History, measurement, and theoretical perspectives. In L. A. Pervin & O. P. John (Eds.), Handbook of personality: Theory and research (2nd ed., pp. 102-138). New York: Guilford Press.
### copy data into 'dat' and examine data dat <- dat.molloy2014 dat[-c(5:6)] ## Not run: ### load metafor package library(metafor) ### calculate r-to-z transformed correlations and corresponding sampling variances dat <- escalc(measure="ZCOR", ri=ri, ni=ni, data=dat, slab=paste(authors, year, sep=", ")) dat[-c(5:6)] ### meta-analysis of the transformed correlations using a random-effects model res <- rma(yi, vi, data=dat) res ### average correlation with 95% CI predict(res, digits=3, transf=transf.ztor) ### forest plot forest(res, addpred=TRUE, xlim=c(-1.6,1.6), atransf=transf.ztor, at=transf.rtoz(c(-.4,-.2,0,.2,.4,.6)), digits=c(2,1), cex=.8, header="Author(s), Year") ### funnel plot funnel(res) ## End(Not run)
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