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Invecchiare in Chianti, aging in the Chianti area (InCHIANTI)
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Sample details

InCHIANTI is a study of the factors contributing to the decline of mobility in late life. The study recruited approximately 1,450 participants, aged 20 to 102 years, from two towns in Tuscany, Italy (Greve in Chianti and Bagno a Ripol). Baseline data were collected between 1998 and 2000. Follow-up assessments were performed at 3 years (Cycle 2, 2001-2003), 6 years (Cycle 3, 2004-2006), 9 years (Cycle 4, 2007-2009), 15 years (Cycle 5, 2013-2014) and 18 years (Cycle 6, 2016-2017). Mortality data was collected from 1998 to 2018.

Study design
Cohort

Number of participants at first data collection

1,453 (participants)

Age at first data collection

20 - 102 years (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
The older population (individuals age 65 or over) of Greve and Bagno a Ripol in Italy.

Sample features

Adults
Community-based sample
Older and elderly people
Dataset details

Country

Italy

Year of first data collection

1998

Primary Institutions

Italian National Institute of Health and Science on Aging (Istituto Nazionale di Ricovero e Cura per Anziani, INRCA)

Links

nia.nih.gov/inchianti-study

doi.org/10.1111%2Fj.1532-5415.2009.02438.x

Funders

Ministry of Health (Ministero della Salute)

National Institute on Aging (NIA)

National Institutes of Health (NIH)

Ongoing?
No

Data types collected

mentalHealthData
dataLinkage
Quantitative data collection
  • Computer, paper or task testing (e.g. cognitive testing, theory of mind doll task, attention computer tasks)
  • Interview – face-to-face
  • Physical or biological assessment (e.g. blood, saliva, gait, grip strength, anthropometry)
  • Secondary data
  • Self-report questionnaire – paper or computer assisted
Qualitative data collection
  • None
Neuroimaging data collection
  • None
Linked or secondary data
  • Healthcare data
  • Mortality data
Features

Engagement

  • None
  • Keywords

    Alcohol use
    Biological samples/biospecimens
    Depression
    Disability
    Food intake
    Medical history
    Musculoskeletal health
    Neurology and neurological diseases
    Pharmacological treatment
    Physical mobility
    Respiratory health and disease
    Sleep
    Smoking
    Urology
    Walking ability
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