Objectives:

  1. To measure the magnitude of the sex/gender gap in mobility and to increase understanding of sex/gender differences in life-course exposures related to mobility.
  2. To assess the mediating roles of chronic conditions and age-related stress and inflammatory responses between lifecourse exposures and mobility disability, considering sex/gender specificities.
  3. To assess the impact of potentially modifiable factors related to the social and economic environment (ie, family, neighbourhood, country) and including those with possible gender specific effects, on maintaining and restoring mobility in old age.

 

Access

Yes
No
Not Applicable
Don't Know
Possible Access to Data

Possible Access to Biosamples

Other

Marker Paper

Sousa AC, Guerra RO, Thanh Tu M, Phillips SP, Guralnik JM, Zunzunegui MV. Lifecourse adversity and physical performance across countries among men and women aged 65-74. PloS One, 2014; 9(8): e102299.

PUBMED 25101981

Supplementary Information

Other publication:

Pirkle CM, de Albuquerque Sousa AC, Alvarado B, Zunzunegui MV; IMIAS Research Group. Early maternal age at first birth is associated with chronic diseases and poor physical performance in older age: cross-sectional analysis from the International Mobility in Aging Study. BMC Public Health, 2014; 14: 293. PMID: 24684705

Study Timeline

Each colour in the timeline graph below represents a separate Study Population, while each segment in the graph represents a separate Data Collection Event. Clicking on a segment gives more detailed information on a Data Collection Event.

Population

IMIAS Population

The IMIAS cohort consists of men and women between 65 and 74 years of age residing in four countries (Albania, Brazil, Canada, Columbia).

Selection Criteria

Age Minimum age 65, Maximum age 74
Country Albania, Brazil, Canada, Colombia
Territory

St-Hyacinthe,Quebec; Kingston, Ontario; Tirana, Albania; Natal, Brazil et Manizales, Colombia

Data Collection Events

NameDescriptionStartEnd
Pilot

Pilot phase

20102010
Baseline Recruitment20112011
Follow-up20142015
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Variables classifications