Simple screening test for risk of falls in the elderly

Okochi, Jiro; Toba, Kenji; Takahashi, T; Matsubayashi, Kozo; Nishinaga, Masanori; Takahashi, Ryutaro; Ohrui, Takashi

doi:10.1111/j.1447-0594.2006.00352.x

Cited by 58 publications

(62 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A fall was defined as an unintentional change in position resulting in coming to rest on the ground or other lower positions. As previously described, these five items were selected from 22 items at the best cut-off point, and the sensitivity and specificity were 68% and 70%, respectively, in a longitudinal study with 1,378 community-dwelling Japanese aged 65 years and older [17]. Association between the risk of falls and various parameters, including fractures First, we compared various parameters between patients with and without a risk of falls (Table 2).…”

Section: Assessment Of the Risk Of Fallsmentioning

confidence: 99%

“…According to previous studies [17], the risk of falls was evaluated using a brief interview form covering physical and social aspects of functioning and environmental factors. The questionnaire included five items: 1) History of a fall within the past year (yes = 5 points), 2) Do you feel your walking speed has declined recently?…”

Section: Assessment Of the Risk Of Fallsmentioning

confidence: 99%

See 1 more Smart Citation

Association between the risk of falls and osteoporotic fractures in patients with type 2 diabetes mellitus

et al. 2017

View full text Add to dashboard Cite

FALLING is a major health concern among elderly people because it increases the incidence of fractures and causes a deterioration in mobility. It is reported that one in three people over 65 years of age fall at least once per year and that half of elderly people over 80 years of age experience at least one fall per year [1][2][3]. Moreover, the severity of fall-related complications increases with aging. Fractures are one of the most serious fall-related injuries and can lead to a loss of independence through disability and fear of falling. The reduction in mobility and independence is a serious issue in aging societies because it often results in admission to a hospital or nursing home and can potentially result in premature death. Additionally, diabetes mellitus (DM) is known to be associated with an Department of Medicine, Diabetes, Metabolism and Endocrinology, Matsuyama Red Cross Hospital, Japan Abstract. Diabetes mellitus is associated with an increased risk of falls, which increases the incidence of osteoporotic fractures and accordingly decreases quality of life. However, the association between fall risk and diabetic complications is not completely understood. Therefore, the aim of this study was to examine the association between fall risk and osteoporotic fractures in patients with type 2 diabetes mellitus (T2DM). We enrolled 194 Japanese patients with T2DM and assessed their fall risk using a brief interview form that included five items covering physical and social aspects of functioning and environmental factors. We examined the associations between fall risk and the presence of diabetic complications, such as neuropathy, retinopathy, nephropathy, cardiovascular disease, cerebrovascular disease, peripheral artery disease (PAD), and osteoporotic fractures (including any fracture and vertebral fractures only). In the multivariate logistic regression analysis, a longer history of T2DM, the presence of neuropathy and PAD, and a history of any fractures were significantly and positively associated with the risk of falls. On the other hand, a lower body mass index, the presence of neuropathy, and the risk of falls were independently and positively associated with the risk of any fracture. When fractures were limited to vertebral fractures only, the association with the risk of falls remained significant. We found that the risk of falls and osteoporotic fractures were associated in patients with T2DM and that a brief screening test of the risk of falls was useful for assessing the risk of osteoporotic fractures.Key words: Fall, Osteoporosis, Fracture, Neuropathy, Type 2 diabetes mellitus increased risk of falling [4][5][6]. Therefore, it is no less important to assess the risk of falls in diabetic patients than it is in their non-diabetic counterparts. Osteoporosis has been recognized as one of the complications of DM. Accumulating evidence shows that patients with DM have an increased risk of osteoporotic fractures independently of their bone mineral density (BMD) [7][8][9]. Several meta-analyses ha...

show abstract

Section: Assessment Of the Risk Of Fallsmentioning

confidence: 99%

Section: Assessment Of the Risk Of Fallsmentioning

confidence: 99%

Association between the risk of falls and osteoporotic fractures in patients with type 2 diabetes mellitus

et al. 2017

View full text Add to dashboard Cite

show abstract

“…To detect early risk for falls in elderly people, the Working Group for Fall Prevention in the Japanese Ministry of Health, Welfare and Labor developed a validated Fall Risk Index (FRI). The FRI consists of 21 questionnaire‐based items identified through a search of international and Japanese research articles that surveyed the history of falls within 1 year on a yes or no basis 4–6 . The 21 items included in the FRI encompassed physical, cognitive, emotional, and social aspects of functioning and environmental factors and included history of stumbling, ability to climb stairs, walking speed, ability to cross the road within green signal time interval, ability to walk 1 km without rest, ability to stand on one leg for 5 seconds, use of cane, ability to squeeze a towel, dizziness, hunched back, knee joint pain, visual disturbance, hearing disturbance, forgetfulness, fear of falling, use of five or more prescription medications, sensation of darkness inside home, presence of obstacles inside house, presence of barriers on the floor, daily stair use at home, and steep slopes around the house ().…”

mentioning

confidence: 99%

Age and Sex Significantly Influence Fall Risk in Community‐dwelling Elderly People in Japan

Ishimoto

Wada

Hirosaki

et al. 2009

J American Geriatrics Society

Self Cite

View full text Add to dashboard Cite

patients with DLB have the highest Braak and Braak stages and would be classified as LBV from a clinico-pathological point of view. Although the main limit of this study was the lack of a pathological diagnosis, it reflects the common clinical situation. These results underscore the difficulty of a DLB diagnosis in the elderly population in which the prevalence of AD lesions is high and might alter the occurrence of clinical signs of DLB, 6 as well as the pattern of episodic memory impairment. Further research with pathological diagnosis is needed in this age group.

show abstract

“…In previous studies, individual risk factors for falling were mostly examined in isolation 14,15 . In this study, we have attempted, using the SDA, to find out the combinations of plural risk factors, which lead to the occurrence of high probability falls.…”

Section: Discussionmentioning

confidence: 99%

Identifying interacting predictors of falling among hospitalized elderly in Japan: A signal detection approach

Nabeshima

Hagihara

Hayashi

et al. 2007

Geriatrics Gerontology Int

Self Cite

View full text Add to dashboard Cite

Falling is a complex phenomenon that involves interaction of multiple risk factors. The authors analyzed factors related to falls in a geriatric hospital to elucidate interaction of multiple risk factors for falls in elderly inpatients. Subjects were 364 patients (mean age, 81.7; women 76.7%) who were aged 60 years and over and had been hospitalized for more than 6 months between April 2000 and March 2001. A signal detection model was used to identify baseline variables that best divided the sample into subgroups using incidence of falling as an outcome variable. During a follow-up period, 91 patients (25%) had at least one incident of fall. Out of 14 independent variables, a higher-order interaction consisting of six significant variables was identified. Consequently, the subjects were categorized into seven subgroups whose fall rate varied 5.7-80.9%. We found that the combination of non-bedridden state, dementia, and medication of tranquilizers or sleeping drugs was the highest fall rate (80.9%). Signal detection analysis is useful to identify the combination of multiple risk factors of falling, and applicable to develop prevention programs for each subgroups.

show abstract

Simple screening test for risk of falls in the elderly

Cited by 58 publications

References 36 publications

Association between the risk of falls and osteoporotic fractures in patients with type 2 diabetes mellitus

Association between the risk of falls and osteoporotic fractures in patients with type 2 diabetes mellitus

Age and Sex Significantly Influence Fall Risk in Community‐dwelling Elderly People in Japan

Identifying interacting predictors of falling among hospitalized elderly in Japan: A signal detection approach

Contact Info

Product

Resources

About