Episodes of falling among elderly people: a systematic review and meta-analysis of social and demographic pre-disposing characteristics.
BACKGROUND
The multifactorial nature of falls among elderly people is well-known. Identifying the social-demographic characteristics of elderly people who fall would enable us to define the typical profile of the elderly who are at risk of falling.


OBJECTIVE
We aimed to isolate studies in which the social-demographic risk factors for falls among the elderly have been evaluated and to carry out a meta-analysis by combining the results of all of these selected studies.


METHODS
We did a systematic literature review using the key words "accidental fall / numerical data" and "risk factors." Inclusion criteria entailed the selection of articles with the following characteristics: population of subjects aged 60 years or over, falls that took place in everyday life, and social-demographic risk factors for falls.


RESULTS
3,747 indexed articles published between 1981 and 2007 were identified, and 177 studies with available data were included, of which 129 had data on social-demographic risk factors for falls. Difficulties in activities of daily living (ADL) or in instrumental activities of daily living (IADL) double the risk of falling: The OR and 95% Cl were 2.26 (2.09, 2.45) for disturbance ADL and 2.10 (1.68, 2.64) for IADL. The OR and 95% Cl for Caucasians were 1.68 (0.98 - 2.88) and 0.64 (0.51 - 0.80) for Hispanics. In the subgroup of patients older than eighty, being married protected people from falling with an OR and 95% Cl =0.68 (0.53 - 0.87).


CONCLUSIONS
Defining factors that create a risk of falling and protect elderly people from falls using social-demographic characteristics lets us focus on an "at risk" population for which a specific program could be developed.
Department of Gerontology, Hôpital Broca, Paris, France. frederic.bloch@brc.aphp.fr
F
F
Bloch
M
M
Thibaud
B
B
Dugué
C
C
Brèque
A S
AS
Rigaud
G
G
Kemoun
D000058:Accidental Falls / Q000706:statistics & numerical data*; D000368:Aged; D005260:Female; D006801:Humans; D008297:Male; D012307:Risk Factors; D012959:Socioeconomic Factors