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DOI 10.18632/oncotarget.13484

Медицинская библиотека · Oncotarget · 2017

Mammographic density: a potential monitoring biomarker for adjuvant and preventative breast cancer endocrine therapies.

Chantanachai Thanwarat, Taylor Morag E, Lord Stephen R, Menant Jasmine, Delbaere Kim, Sachdev Perminder S, Kochan Nicole A, Brodaty Henry, Sturnieks Daina L

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Аннотация

OBJECTIVE

Mild cognitive impairment (MCI) is considered an intermediate stage between normal cognitive function and dementia. Fall risk is increased in this group, but there is limited literature exploring specific fall risk factors that may be addressed in fall prevention strategies. The aim of this study was to examine risk factors for falls in older people with MCI, focusing on cognitive, psychological and physical factors.

METHODS

Participants (n = 266, 45% women) were community-dwelling older people aged 70-90 years who met the criteria for MCI. Cognitive, psychological, sensorimotor and physical assessments, physical activity levels, medication use, general health and disability were ascertained at baseline. Falls were monitored prospectively for 12 months.

RESULTS

During follow-up, 106 (40%) participants reported one or more falls. Poorer visual contrast sensitivity, increased postural sway, lower levels of weekly walking activity, higher levels of depressive symptoms and psychotropic medication use were significantly associated with faller status (≥1 falls) in univariable analyses. Of these factors, poor visual contrast sensitivity, increased postural sway and psychotropic medication use were found to be significant independent predictors of falls in multivariable analysis while controlling for age and sex. No measures of cognitive function were associated with falls.

CONCLUSIONS

Poor visual contrast sensitivity, impaired balance and psychotropic medication use predicted falls in community-dwelling people with MCI. These risk factors may be amenable to intervention, so these factors could be carefully considered in fall prevention programs for this population.

Для цитирования: Chantanachai Thanwarat, Taylor Morag E, Lord Stephen R, Menant Jasmine, Delbaere Kim, Sachdev Perminder S, Kochan Nicole A, Brodaty Henry, Sturnieks Daina L. Mammographic density: a potential monitoring biomarker for adjuvant and preventative breast cancer endocrine therapies.. Oncotarget. 2017. DOI: 10.18632/oncotarget.13484.

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