Dizziness and falls in obese inpatients undergoing metabolic rehabilitation
Author
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Corna, Stefano
Author
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Aspesi, Valentina
Author
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Cau, Nicola
Author
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Scarpina, Federica
Author
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Gattini Valdés, Natalia
Author
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Brugliera, Luigia
Author
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Cimolin, Verónica
Author
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Capodaglio, Paolo
Admission date
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2019-05-31T19:44:03Z
Available date
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2019-05-31T19:44:03Z
Publication date
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2017
Cita de ítem
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PLoS ONE 12(1): e0169322
es_ES
Identifier
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1932-6203
Identifier
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10.1371/journal.pone.0169322
Identifier
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https://repositorio.uchile.cl/handle/2250/169749
Abstract
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Aim
The relationship between dizziness and falls in the obese population is a relatively unexplored issue. The aims of the present study were to define the 1-year prevalence of dizziness in an obese inpatient population undergoing metabolic rehabilitation and to investigate possible correlations with fall events.
Materials and Methods
We recruited 329 obese subjects: 203 female (BMI 43,74 kg/m(2) +/- 0.5 SE; age 17-83 years, 58.33 +/- 0.9 SE) and 126 male (BMI 44,27kg/m2 +/- 0.7 DE age 27-79 years, 58.84 +/- 1 SE). To assess dizziness we used the validated Italian version (38) of the Dizziness Handicap Inventory (DHI).
Results
Out of the experimental sample, 100 subjects did not complain of dizziness and felt confident about their balance control, while 69.6% reported some degree of dizziness. Their mean DHI score was 22.3, which corresponds to mild dizziness. Twenty-one percent reported more severe dizziness (DHI score > 40). The majority of our sample reported minor dizziness and its perception appears to be independent from BMI: DHI scores were consistent across classes of obesity.
Discussion
The rate of dizziness and falls (30.1%) in an this obese population was higher than that previously reported in a general matched population. However, obese subjects, in our sample, seem to underestimate their risk of fall and DHI score does not appear a reliable predictor of falls. Since complications associated with falls in obese persons generally require longer treatments than in lean individuals, our findings should be taken into account in order to identify other predictors, including cognitive and perceptual, of risk of fall and to implement fall prevention programs.