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          <titl xml:lang="en">XML DDI-C 2.5 Documentation for study SN167-1.0</titl>
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        <titl xml:lang="en">Multiscopo ISTAT – Aspects of daily life (2015)</titl>
        <parTitl xml:lang="it">Multiscopo ISTAT – Aspetti della vita quotidiana (2015)</parTitl>
        <IDNo xml:lang="en" agency="UniData">SN167</IDNo>
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        <prodDate xml:lang="en">2017-01-31</prodDate>
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        <topcClas xml:lang="en" vocab="CESSDA Topic Classification">ECONOMICS - consumption/consumer behaviour</topcClas><topcClas xml:lang="en" vocab="CESSDA Topic Classification">EDUCATION - life-long/continuing education</topcClas><topcClas xml:lang="en" vocab="CESSDA Topic Classification">HEALTH - accidents and injuries</topcClas><topcClas xml:lang="en" vocab="CESSDA Topic Classification">HEALTH - general health</topcClas><topcClas xml:lang="en" vocab="CESSDA Topic Classification">HEALTH - health care and medical treatment</topcClas><topcClas xml:lang="en" vocab="CESSDA Topic Classification">HEALTH - nutrition</topcClas><topcClas xml:lang="en" vocab="CESSDA Topic Classification">HEALTH - physical fitness and exercise</topcClas><topcClas xml:lang="en" vocab="CESSDA Topic Classification">HEALTH - specific diseases and medical conditions</topcClas><topcClas xml:lang="en" vocab="CESSDA Topic Classification">HOUSING AND LAND USE PLANNING - housing</topcClas><topcClas xml:lang="en" vocab="CESSDA Topic Classification">INFORMATION AND COMMUNICATION - information society</topcClas><topcClas xml:lang="en" vocab="CESSDA Topic Classification">INFORMATION AND COMMUNICATION - mass media</topcClas><topcClas xml:lang="en" vocab="CESSDA Topic Classification">NATURAL ENVIRONMENT - environmental degradation/pollution and protection</topcClas><topcClas xml:lang="en" vocab="CESSDA Topic Classification">NATURAL ENVIRONMENT - natural resources and energy</topcClas><topcClas xml:lang="en" vocab="CESSDA Topic Classification">SCIENCE AND TECHNOLOGY - information technology</topcClas><topcClas xml:lang="en" vocab="CESSDA Topic Classification">SOCIAL STRATIFICATION AND GROUPINGS - family life and marriage</topcClas><topcClas xml:lang="en" vocab="CESSDA Topic Classification">SOCIETY AND CULTURE - cultural activities and participation</topcClas><topcClas xml:lang="en" vocab="CESSDA Topic Classification">SOCIETY AND CULTURE - leisure, tourism and sport</topcClas><topcClas xml:lang="en" vocab="CESSDA Topic Classification">SOCIETY AND CULTURE - social behaviour and attitudes</topcClas><topcClas xml:lang="en" vocab="CESSDA Topic Classification">SOCIETY AND CULTURE - time use</topcClas><topcClas xml:lang="en" vocab="CESSDA Topic Classification">TRANSPORT, TRAVEL AND MOBILITY</topcClas>
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      <abstract xml:lang="en">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</abstract>
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        <nation xml:lang="en">Italy</nation>
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        <timeMeth xml:lang="en">longitudinal (trend repeated cross-section)<concept/></timeMeth>
        <sampProc xml:lang="en">19.158 families, 45.204 individuals. Two-stage stratified random sample<concept/></sampProc>
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        <citReq xml:lang="en">Istat. (2015) Multiscopo ISTAT – Aspects of daily life.  UniData - Bicocca Data Archive, Milan. Study Number SN167. Data file version 1.0</citReq>
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            <titl xml:lang="en">Decataldo, A. &amp; 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</titl>
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            <titl xml:lang="en">Decataldo, A. &amp; 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</titl>
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            <titl xml:lang="en">Facchini, C. (2015). Anziani e alimentazione: uno sguardo d’assieme. I luoghi della cura, 4, 27-31</titl>
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            <titl xml:lang="en">Facchini, C. (2016). Vivere con la malattia e la disabilità. Anziani, differenze sociali e di genere, tipologie familiari. Salute e società, 1, 70-85</titl>
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            <titl xml:lang="en">Gambaro, M. (2017). Per un’analisi economica della domanda di beni culturali, Rapporto Fedelculture – Impresa Cultura, Roma, Italia: Gangemi Editore</titl>
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            <titl xml:lang="en">Nicolussi, F. &amp; Cazzaro, M. (2017). Study of context-specific independencies through Chain Stratified Graph Models for categorical variables, Proceedings of the 20th CLADAG international conference</titl>
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            <titl xml:lang="en">Nicolussi, F. &amp; Cazzaro, M. (2018). Investigation on life satisfaction through (Strati ed) Chain Regression Graph Models. Proceedings of the SMTDA international conference</titl>
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            <titl xml:lang="en">Nicolussi, F. &amp; 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</titl>
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