Version:1.0
Release:2017-01-17
Availability:available
UniData provides two kind of data access:
- open data
(all users can use the data - an expense allowance could be required) - restricted data
(the data use is limited - see below)
Data Kind:
individual data
Time Dimensions:
longitudinal (trend repeated cross-section)
Series Name:
AVQ - Aspects of Daily Life
The survey Aspects of Daily Life, which is part of an integrated system of social surveys – Multiscopo ISTAT – reveals the basic information relating to the daily lives of individuals and families. Since 1993, the survey is conducted annually and the information gathered provides insight into the habits of citizens and the problems they face every day.
The main topics of the survey are:
- eating habits
- smoking habits (electronic cigarettes too)
- health conditions
- mass-media use
- PC and Internet use, IT skills
- cell phone use
- cultural consumption (films, concerts, performances, exhibition, reading books, etc.)
- religious, political, and social participation
- use of public services and public utility services and degree of satisfaction
- use of health services and degree of satisfaction
- environmental issues
- safety
- trust in people and institutions
- education
- daily commuting
- leisure time
- domestic accidents
- physical activity and sports
- family life and friendship
- working conditions
- use of the justice system
- characteristics of the house and the area
- possession of home appliances and means of transport
- possession of IT equipment
- access to Internet
- household economic situation
Data are available for free in CSV format (registration required). After logging in, please click on the green button 
in the box at the right.
In order to optimize the time of use of the dataset, UniData offers a service of conversion in the statistical software format (SPSS, Stata, R or SAS). For detailed information visit the Services for Istat Data page.
For members, instead, data are available in the main formats used by the software for the statistical analysis.
Keywords: transports, services, consumptions, technology, environment, family, security, health, participation, house, leisure time, media
Topic Classification:
Nations: Italy
Geographical Unit: region
Analysis Unit: individual, family
Universe: whole Italian population
Sample Procedure: 19.158 families, 45.204 individuals. Two-stage stratified random sample
Weight: Weight used. Please read the documentation for any details
Collection Mode: face to face interview, self-administered questionnaire
Collection Size: UniData supplies: 1 datasets in SPSS (members only) or CSV (other users) format; 1 questionnaire in PDF format (ita); 1 PDF file with methodological notes and 1 codebook in PDF format (ita) (4 file)
Documentation:
| Methodological Notes (pdf): |
| Codebook (pdf): |
|
| DDI Documentation: |  |
Publications:
- Decataldo, A. & Fiore, B. (2017). “School Served Meals” versus “Eating at home”: a sociological study on the psyco-physical conditions of Italian students in primary school In Marcianetti, J., Castelli, L., Crescentini, A. (Ed.). Well-Being in Education System (pp. 338-341), Firenze, Italia: Hogrefe
- Decataldo, A. & Fiore, B. (2018). Is Eating in the School Canteen Better to Fight Weight Gain? A Sociological Observational Study on Nutrition in Italian Children, Children and Youth Services Review, 94, 246-256, doi: 10.1016/j.childyouth.2018.10.002
- Facchini, C. (2015). Anziani e alimentazione: uno sguardo d’assieme. I luoghi della cura, 4, 27-31
- Facchini, C. (2016). Vivere con la malattia e la disabilità. Anziani, differenze sociali e di genere, tipologie familiari. Salute e società, 1, 70-85
- Gambaro, M. (2017). Per un’analisi economica della domanda di beni culturali, Rapporto Fedelculture – Impresa Cultura, Roma, Italia: Gangemi Editore
- Nicolussi, F. & Cazzaro, M. (2017). Study of context-specific independencies through Chain Stratified Graph Models for categorical variables, Proceedings of the 20th CLADAG international conference
- Nicolussi, F. & Cazzaro, M. (2018). Investigation on life satisfaction through (Strati ed) Chain Regression Graph Models. Proceedings of the SMTDA international conference
- Nicolussi, F. & Cazzaro, M. (2019). Context-Specific independencies embedded in Chain Graph Models of type I In Greselin, F., Deldossi, L., Bagnato, L., Vichi, M. (Ed.). Statistical learning of complex data (pp. 173-182), Cham, Switzerland: Springer Nature Switzerland AG
Data Use Restriction:
ISTAT data are released in according to Creative Commons – Attribution 3.0 Licence, available here. The redistribution to the third party, even in partial form, of data available to UniData members only is not allowed.
Source Contact: Contact Centre
Citation:
Istat. (2015) Multiscopo ISTAT – Aspects of daily life. UniData - Bicocca Data Archive, Milan. Study Number SN167. Data file version 1.0
Deposit Requirement:
The user is obliged to quote all data and documents disseminated by UniData and used in the own publications, using the information previously showed. The user is also obliged to send UniData the bibliographic citations related to the publications where the requested data and documents are used.
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