30,426 responses from 1,383 respondents to 11 items.
| Description | Med Diet Score food-frequency items (11 food groups, 0-5 weekly-consumption rating each), N=1383 Florentine university-affiliated adults, two waves (pre-COVID lockdown / during quarantine). |
|---|---|
| Reference | Mascherini G, Catelan D, Pellegrini-Giampietro DE, Petri C, Scaletti C, Gulisano M (2021) Changes in physical activity levels, eating habits and psychological well-being during the Italian COVID-19 pandemic lockdown: Impact of socio-demographic factors on the Florentine academic population. PLOS ONE 16(5): e0252395. |
| DOI | 10.1371/journal.pone.0252395 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.1371/journal.pone.0252395.s001 |
| Responses | 30,426 |
|---|---|
| Respondents | 1,383 |
| Items | 11 |
| Response categories | 6 |
| Responses per respondent | 22 |
| Responses per item | 2,766 |
| Density | 2 |
| Longitudinal | TRUE |
| age range | Adult (18+) |
|---|---|
| sample | Educational, Workplace |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | ita |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Med Diet Score (MedDietScore), as administered in the ABITUD-19 questionnaire |
|---|---|
| Mean words per item | 1 |
| Mean characters per item | 2 |
| Mean characters per response | 3.742 |
| Flesch-Kincaid grade level | -3.400 |
cov_agecov_educationcov_gendercov_marital_statusiditemrespwave
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("mascherini_2021_meddiet")
# Python
pip install irw
import irw
df = irw.fetch("mascherini_2021_meddiet")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_4 v7.0 |
| Redivis dataset DOI | 10.57761/cpj5-vm97 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |