Study Results
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Basic Information
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COMPLETED
1167 participants
OBSERVATIONAL
2003-01-31
2015-01-02
Brief Summary
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\- Older persons are often referred to physicians because of mobility difficulties that grow worse as they age. To better understand the reasons for mobility difficulties in older persons, researchers conducted a population-based study of individuals living in the Chianti geographic area of Tuscany, Italy. Researchers are now interested in conducting a follow-up study on the original participants to assess the effects of aging on their mobility.
Objectives:
\- To conduct a follow-up study on the participants in the mobility study of older persons in the Greve in Chianti and Bagno a Ripoli areas near Florence, Italy.
Eligibility:
\- Original participants in the InChianti Mobility Study.
Design:
* The InChianti Follow-up Study will repeat most elements of the baseline evaluation from the original study. Participants will be seen on the 3-year anniversary of their baseline study assessment.
* Participants will have a home interview with questions about their physical and mental health, family history, daily activities, and living conditions related to their continued mobility.
* Participants will provide blood and urine samples, and will have tests of heart and motor nerve function and imaging studies of bones and the circulatory system.
* Participants will also have a functional evaluation of their motor skills, including walking tests, range of motion tests, and grip strength.
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Detailed Description
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A great deal of information is available from the baseline evaluation in this study and the crosssectional analyses that can be done with these data will be very valuable. There are, however, limitations in what we can learn from cross-sectional data. The baseline data revealed many relationships between factors that were studied and disability, but there may be circularity in these relationships that cannot be sorted out if we only have cross-sectional data available. For example, abnormalities in certain biomarkers may be a cause of disability or may be caused by disability. Only by doing longitudinal analyses that begin with non-disabled persons can the temporal sequence be determined. Cross-sectional analyses only permit the study of factors that are currently related to disability while longitudinal analyses allow for the identification of subclinical markers of risk that predict future disability onset. There is therefore much to be gained by performing a follow-up evaluation of the cohort to obtain longitudinal data.
Conditions
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Study Design
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OTHER
Eligibility Criteria
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Inclusion Criteria
Must reside in Greve in Chianti or Bagno A Ripoli, Italy
Subjects with modertative cognitive problems will be included as long as the consent can be read and signed by by a first-degree relative of the participant or, in absence of first-degree relative, another relative living with or close to the participant
Exclusion Criteria
65 Years
ALL
No
Sponsors
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National Institute on Aging (NIA)
NIH
Responsible Party
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Principal Investigators
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Tamara B Harris, M.D.
Role: PRINCIPAL_INVESTIGATOR
National Institute on Aging (NIA)
Locations
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National Institute of Research and Care on Aging
Florence, , Italy
Countries
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References
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Pellegrino R, Paganelli R, Di Iorio A, Bandinelli S, Mussi C, Sparvieri E, Volpato S, Tanaka T, Ferrucci L. Lack of Immune Resilience Negatively Affects Physical Resilience: Results From the InCHIANTI Follow-Up Study. J Gerontol A Biol Sci Med Sci. 2024 May 1;79(5):glae076. doi: 10.1093/gerona/glae076.
Hidalgo-Liberona N, Merono T, Zamora-Ros R, Rabassa M, Semba R, Tanaka T, Bandinelli S, Ferrucci L, Andres-Lacueva C, Cherubini A. Adherence to the Mediterranean diet assessed by a novel dietary biomarker score and mortality in older adults: the InCHIANTI cohort study. BMC Med. 2021 Nov 24;19(1):280. doi: 10.1186/s12916-021-02154-7.
Cattelani L, Palumbo P, Palmerini L, Bandinelli S, Becker C, Chesani F, Chiari L. FRAT-up, a Web-based fall-risk assessment tool for elderly people living in the community. J Med Internet Res. 2015 Feb 18;17(2):e41. doi: 10.2196/jmir.4064.
Dashti HS, Follis JL, Smith CE, Tanaka T, Cade BE, Gottlieb DJ, Hruby A, Jacques PF, Lamon-Fava S, Richardson K, Saxena R, Scheer FA, Kovanen L, Bartz TM, Perala MM, Jonsson A, Frazier-Wood AC, Kalafati IP, Mikkila V, Partonen T, Lemaitre RN, Lahti J, Hernandez DG, Toft U, Johnson WC, Kanoni S, Raitakari OT, Perola M, Psaty BM, Ferrucci L, Grarup N, Highland HM, Rallidis L, Kahonen M, Havulinna AS, Siscovick DS, Raikkonen K, Jorgensen T, Rotter JI, Deloukas P, Viikari JS, Mozaffarian D, Linneberg A, Seppala I, Hansen T, Salomaa V, Gharib SA, Eriksson JG, Bandinelli S, Pedersen O, Rich SS, Dedoussis G, Lehtimaki T, Ordovas JM. Habitual sleep duration is associated with BMI and macronutrient intake and may be modified by CLOCK genetic variants. Am J Clin Nutr. 2015 Jan;101(1):135-43. doi: 10.3945/ajcn.114.095026. Epub 2014 Nov 26.
Tanaka T, Ngwa JS, van Rooij FJ, Zillikens MC, Wojczynski MK, Frazier-Wood AC, Houston DK, Kanoni S, Lemaitre RN, Luan J, Mikkila V, Renstrom F, Sonestedt E, Zhao JH, Chu AY, Qi L, Chasman DI, de Oliveira Otto MC, Dhurandhar EJ, Feitosa MF, Johansson I, Khaw KT, Lohman KK, Manichaikul A, McKeown NM, Mozaffarian D, Singleton A, Stirrups K, Viikari J, Ye Z, Bandinelli S, Barroso I, Deloukas P, Forouhi NG, Hofman A, Liu Y, Lyytikainen LP, North KE, Dimitriou M, Hallmans G, Kahonen M, Langenberg C, Ordovas JM, Uitterlinden AG, Hu FB, Kalafati IP, Raitakari O, Franco OH, Johnson A, Emilsson V, Schrack JA, Semba RD, Siscovick DS, Arnett DK, Borecki IB, Franks PW, Kritchevsky SB, Lehtimaki T, Loos RJ, Orho-Melander M, Rotter JI, Wareham NJ, Witteman JC, Ferrucci L, Dedoussis G, Cupples LA, Nettleton JA. Genome-wide meta-analysis of observational studies shows common genetic variants associated with macronutrient intake. Am J Clin Nutr. 2013 Jun;97(6):1395-402. doi: 10.3945/ajcn.112.052183. Epub 2013 May 1.
Other Identifiers
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03-AG-N320
Identifier Type: -
Identifier Source: secondary_id
999903320
Identifier Type: -
Identifier Source: org_study_id
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