Falling is not just for older women: support for pre-emptive prevention intervention before 60.
OBJECTIVE
This study aimed to report falls and identify factors that might predict a fall in women aged between 40 and 80 years and thus provide evidence of earlier falls and need for morbidity preventive intervention.


METHODS
A prospective cohort study design over 5 years. Personal demographic data of age, co-morbidities, number of prescribed medications, falls, activity level and living situation were obtained at face-to-face interview. Height, weight, body mass index and postural stability were measured in participating women living independently in the community.


RESULTS
Women were categorized into age decade cohorts, with 463 remaining at the year 5 assessment. At baseline, 8% of the women in their forties, 14% in their fifties, 25% in their sixties and 40% in their seventies had fallen in the previous 12 months. Over the 5-year study period, 21% of women in their forties and fifties, 31% of women in their sixties and 47% in their seventies had fallen. Multiple fallers mostly comprised women in their sixties and seventies. Parametric modeling and the classification tree approach revealed age and number of co-morbidities to be most predictive of a fall. Women < 60 years old had an increased risk of a fall by 8% and women > 60 years an increased risk of a fall by 35% with every additional co-morbidity. Stability and other demographics were not predictive of falling.


CONCLUSIONS
For women over 40 years old, the number of co-morbidities increased the risk of a fall. The falls risk escalated with additional co-morbidities if they were over 60 years. Preventive program participation to maintain good health beginning by the forties appears vital to prevent falls.
Nitz
J C
JC
University of Queensland, Physiotherapy, Brisbane, Australia.
Choy
N L Low
NL
D000058:Accidental Falls / Q000517:prevention & control / Q000706:statistics & numerical data*; D000203:Activities of Daily Living; D000328:Adult; D017677:Age Distribution; D000368:Aged; D000369:Aged, 80 and over; D015984:Causality; D015331:Cohort Studies; D005260:Female; D015438:Health Behavior; D007722:Health Knowledge, Attitudes, Practice; D006293:Health Promotion / Q000458:organization & administration*; D006801:Humans; D008875:Middle Aged; D011446:Prospective Studies; D011793:Queensland / Q000453:epidemiology; D012307:Risk Factors; D018709:Statistics, Nonparametric; D016387:Women's Health