scholarly journals Anthropometric indicators as a discriminator of sarcopenia in community-dwelling older adults of the Amazon region: a cross-sectional study

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Cássio Lima Esteves ◽  
Daniela Gonçalves Ohara ◽  
Areolino Pena Matos ◽  
Vânia T. K. Ferreira ◽  
Natalia C. R. Iosimuta ◽  
...  

Abstract Background Sarcopenia is a geriatric syndrome associated with negative health outcomes and the use of viable alternative screening tools may help in the diagnosis of this condition. This study aimed to analyze the association of sarcopenia with anthropometric indicators among community-dwelling older adults and to identify cut-off points for such indicators as a discriminant criterion for predicting sarcopenia. Methods This was a cross-sectional study conducted on community-dwelling older adults ≥60 years old (n = 411) of both sexes from Macapá, Amapá, Brazil. Socioeconomic, clinical and anthropometric data (arm circumference - AC, waist circumference - WC, calf circumference - CC and body mass index – BMI) were collected using a structured form. Sarcopenia was identified according to the EWGSOP 2 consensus. The association between anthropometric indicators and sarcopenia was performed using logistic regression and cut-off points established from the ROC Curve. Statistical significance was defined as p ≤ 0.05. Results Adjusted analysis indicated an independent and inverse association between sarcopenia and the anthropometric indicators: AC (odds ratio, OR: 0.63; 95% confidence interval, 95%CI: 0.53–0.76), CC (OR: 0.73; 95%CI: 0.62–0.85), WC (OR: 0.93; 95%CI: 0.90–0.97) and BMI (OR: 0.64; 95%CI: 0.53–0.76). The following cut-off points for older men and women represented the discriminant criterion for the presence of sarcopenia: WC (≤97 and ≤ 86 cm), CC (≤33 and ≤ 31 cm), AC (≤27 cm) and BMI (≤24.8 kg/m2 and ≤ 24.5 kg/m2) (area under the ROC curve superior to 0.70). BMI and AC were the indicators with the highest ability to discriminate older adults of both sexes with sarcopenia. Conclusions An increase of one unit of the indicators can reduce the probability of occurrence of sarcopenia. All indicators were considered to discriminate the occurrence of sarcopenia, with emphasis on BMI and AC, and could be used to screen for this condition among community-dwelling older adults.

Author(s):  
Takafumi Abe ◽  
Kenta Okuyama ◽  
Tsuyoshi Hamano ◽  
Miwako Takeda ◽  
Masayuki Yamasaki ◽  
...  

Although some neighborhood environmental factors have been found to affect depressive symptoms, few studies have focused on the impact of living in a hilly environment, i.e., land slope, on depressive symptoms among rural older adults. This cross-sectional study aimed to investigate whether a land slope is associated with depressive symptoms among older adults living in rural areas. Data were collected from 935 participants, aged 65 years and older, who lived in Shimane prefecture, Japan. Depressive symptoms were assessed using the Zung Self-Rating Depression Scale (SDS) and defined on the basis of an SDS score ≥ 40. Land slopes within a 400 m network buffer were assessed using geographic information systems. Odds ratios (ORs) with 95% confidence intervals (CIs) of depressive symptoms were estimated using logistic regression. A total of 215 (23.0%) participants reported depressive symptoms. The land slope was positively associated with depressive symptoms (OR = 1.04; 95% CI = 1.01–1.08) after adjusting for all confounders. In a rural setting, living in a hillier environment was associated with depressive symptoms among community-dwelling older adults in Japan.


2019 ◽  
Vol 48 (Supplement_4) ◽  
pp. iv9-iv12
Author(s):  
Resshaya Roobini Murukesu ◽  
Devinder Kaur Ajit Singh ◽  
Noor Izyani Mokhtar ◽  
Janet Bong May Ing ◽  
Ponnusamy Subramaniam ◽  
...  

Abstract Introduction The presence of either frailty or cognitive impairment have been determined as precursors of falls among older adults. However, the association between falls and cognitive frailty has yet to be established. Objective To investigate the association between falls and cognitive frailty among community dwelling older adults. Methods A total of 246 Malaysian community dwelling older adults aged 60 years and above residing in the state of Selangor participated in this cross-sectional study. Sociodemographic details and clinical characteristics including the history of falls were obtained via interview. The presence of cognitive frailty was identified using the Clinical Dementia Rating Scale and Fried Frailty Index. Data analysis was carried out via binary logistic regression. Results The prevalence of falls and cognitive frailty in this study were 21.2% and 21.9% respectively among community dwelling older adults (mean age 72.39±5.40). No significant relationship between falls and cognitive frailty [OR:1.187, 95% C.I: 0.493-2.856, p=0.702] was demonstrated. However, older women [OR:2.663, 95% C.I, 1.136-6.239, p=0.024] and the presence of multi-morbidities [OR: 1.431, 95% C.I, 1.026-1.997, p=0.035] were significantly associated with falls which corroborates with existing literature. Conclusion Cognitive frailty was not a significant risk factor of falls among community dwelling older adults in this study. Further research is required in prospective, longitudinal, population-based studies to confirm this result.


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