dat.feng2019: Studies on the Prevalence of Depression After Myocardial...

In metadat: Meta-Analysis Datasets

Studies on the Prevalence of Depression After Myocardial Infarction

Description

Results from 19 studies assessing the prevalence of depression after myocardial infarction

Usage

dat.feng2019

Format

The data frame contains the following columns:

author	character	first author
year	integer	publication year
region	character	country
design	character	study design
source	character	sample source
age	numeric	mean age
males	numeric	percentage of males
first	numeric	percentage of first-time MI
questionnaire	character	self-report questionnaire
interview	character	structured interview
timing	character	timing of depression assessment
depr	integer	subjects with depression
n	integer	sample size

Details

This data set comes from a meta-analysis with 19 studies to estimate the prevalence of depression after a myocardial infarction. The variables depr and n contain the number of depressive patients and the total number of patients.

Concepts

psychology, cardiology, prevalence

Author(s)

Guido Schwarzer, [e-mail], https://github.com/guido-s/

Source

Feng, L., Li, L., Liu, W., Yang, J., Wang, Q., Shi, L., & Luo, M. (2019). Prevalence of depression in myocardial infarction: A PRISMA-compliant meta-analysis. Medicine, 98(8), e14596. ⁠https://doi.org/10.1097/md.0000000000014596⁠

Examples

### Show results of first six studies
head(dat.feng2019)

## Not run: 
### Load meta package
suppressPackageStartupMessages(library(meta))

### Conduct random effects meta-analysis
mp1 <- metaprop(depr, n, data = dat.feng2019,
  studlab = paste(author, year),
  common = FALSE, prediction = TRUE)

### Create forest plot
forest(mp1, digits = 3, xlim = c(0, 1),
  print.pval.Q = FALSE, details = TRUE)

## End(Not run)

metadat documentation built on April 29, 2026, 5:10 p.m.