Current Gerontology and Geriatrics Research最新文献

Locomotive syndrome (LS) is a concept that refers to the condition of people requiring healthcare services because of problems associated with locomotion. Depression is a major psychiatric disease among the elderly, in addition to dementia. The purpose of this study was to determine the association between LS and depression. The study participants were 224 healthy elderly volunteers living in a rural area in Japan. LS was defined as scores ≥ 16 on the 25-question Geriatric Locomotive Function Scale (GLFS-25). Depression was defined as scores ≥ 5 on the 15-item Geriatric Depression Scale (GDS-15). Height and body weight were measured. The prevalence of LS and depression was 13.9% and 24.2%, respectively. Compared with the non-LS group, the LS group was older, was shorter, had a higher BMI, and had higher GDS-15 scores. Logistic regression analysis showed that participants with GDS-15 scores ≥ 6 had higher odds for LS than those with GDS-15 scores < 6 (odds ratio [OR] = 4.22). Conversely, the depression group had higher GLFS-25 scores than the nondepression group. Participants with GLFS-25 scores ≥ 5 had higher odds for depression than those with GLFS-25 scores < 5 (OR = 4.53). These findings suggest that there is a close relationship between LS and depression.

Aim: Falls are an important contributor to loss of function, morbidity, and mortality in elders. Little is known about falls in Indian populations. The objective of this cross-sectional report was to identify the prevalence and correlates of falls in a cohort of 562 rural southern Indian men and women.

Methods: Risk factors included demographics, anthropometrics, self-reported health, medical history, physical function, vision, depression, and lifestyle. Odds ratios were calculated using logistic regression.

Results: 71 (13%) subjects reported at least 1 fall in the past year. Prevalence was higher among women (17%) than men (8%), P = 0.003. Sex and age showed significant interaction (P = 0.04) whereby falls prevalence increased with age among women but decreased among men. Correlates of falls among men included a history of osteoarthritis (OA) (odds ratio (OR): 6.91; 95% CI: 1.4-33.1), depression (OR:9.6; 3.1-30.1), and greater height (OR per 1 standard deviation increase: 2.33; 1.1-5.1). Among women, poor physical performance (OR: 3.33; 1.13-9.86) and history of cardiovascular disease (CVD) (OR: 2.42; 1.01-5.80) were independently associated with falls.

Implications: Prevalence of falls in elderly South Indians was lower than published reports from western countries and likely reflects low exposure to fall risks. Patterns with age differed in men and women and may reflect sex differences in the accuracy of age recall. Presence of comorbidities specifically OA, CVD, and depression was independent correlate of falling.

Introduction: Polypharmacy in several cases is deemed necessary and elderly patients are prone to this phenomenon. The objective of this study was to identify the prevalence and the predictors of polypharmacy among consecutively unplanned admissions of patients aged ≥65 years.

Patients and methods: In 310 patients (51% women), mean age 80.24 years (95% CI 79.35-81.10), demographic characteristics, medical history, medications, and cause of admission were recorded. Parametric tests and multiple logistic regression analysis were applied to identify the factors that have significant association with polypharmacy.

Results: 53.5% of patients belonged to polypharmacy group. In multivariate analysis the independent predictors of polypharmacy were arterial hypertension (p = 0.003, OR = 2.708, and 95% CI 1.400-5.238), coronary artery disease (p = 0.001, OR = 8.274, and 95% CI 3.161-21.656), heart failure (p = 0.030, OR = 4.042, and 95% CI 1.145-14.270), atrial fibrillation (p = 0.031, OR = 2.477, and 95% CI 1.086-5.648), diabetes mellitus (p = 0.010, OR = 2.390, and 95% CI 1.232-4.636), dementia (p = 0.001, OR = 4.637, and 95% CI 1.876-11.464), and COPD (p = 0.022, OR = 3.626, and 95% CI 1.208-10.891).

Conclusions: Polypharmacy mainly was linked to cardiovascular diseases. If deprescribing is not feasible, physicians must oversee those patients in order to recognise early, possible drug reactions.

Although self-help group for older people gains the effectiveness, the effect of a nursing intervention using a self-help group model as a guideline for self-monitoring and intervention on the health status and life satisfaction among older people still remains. To determine the effectiveness of this nursing intervention, an experimental design using multistage sampling method was used for this study. The self-help intervention included a single 50-70-minute session once a week for 12 weeks done, using the Life Satisfaction Inventory-A (LSI-A) questionnaire, and SF-36 shows a significant difference. Self-help intervention could be implemented by nurses for older people in the community to improve health and well-being.

Objectives: Ageing of societies causes serious political concerns on well-being of old citizens and care for the (frail) old. These concerns increased with the economic crisis of 2008. In European countries policy measures were taken to deal with the consequences of this crisis. This study explores the possible effects of these measures on life satisfaction of older citizens.

Methods: Life satisfaction was assessed through international surveys in 2007 and 2013 and changes in societal conditions, using eight indicators on demography, welfare, and health, are assessed in 31 European countries in 2006 and in 2014. Data are standardised and based on official, national surveys and statistics.

Results: The former found that U-shape relationship between age and life satisfaction disappeared after the crisis. Negative changes in social protection and care arrangements, taken after the economic crisis, are related to low life satisfaction in old citizens.

Conclusions: Various societal conditions deteriorated in 2014 as compared to 2006. Policy measures, taken due to the 2008 economic crisis, have changed societal conditions and affected life satisfaction of older citizens negatively. In countries with a rudimentary structure of health and welfare provisions old citizens could not cope with the imposed policy measures.

Objectives. To estimate the prevalence of anemia and its determinants among older adults in Ecuador. Methods. The present study was based on data from the National Survey of Health, Wellbeing, and Aging. Hemoglobin concentrations were adjusted by participants' smoking status and altitude of residence, and anemia was defined according to the World Health Organization criteria (<12 g/dL in women and <13 g/dL in men). Gender-specific logistic regression models were used to examine the association between demographic and health characteristics and anemia. Results. A total of 2,372 subjects with a mean age of 71.8 (SD 8.2) years had their hemoglobin measured, representing an estimated 1.1 million older adults. The crude prevalence of anemia was 20.0% in women and 25.2% in men. However, higher anemia prevalence rates were seen with advancing age among black women and subjects residing in the urban coast. Likewise, certain health conditions such as hypoalbuminemia, cancer in men, chronic kidney disease, iron deficiency, and low grade inflammation were associated with increased odds of having anemia. Conclusions. Anemia is a prevalent condition among older adults in Ecuador. Moreover, further research is needed to examine the association between anemia and adverse health-related outcomes among older Ecuadorians.

Purpose: Anthropometry is a useful tool for assessing some risk factors for frailty. Thus, the aim of this study was to verify the discriminatory performance of anthropometric measures in identifying frailty in the elderly and to create an easy-to-use tool.

Methods: Cross-sectional study: a subset from the Multidimensional Study of the Elderly in the Family Health Strategy (EMI-SUS) evaluating 538 older adults. Individuals were classified using the Fried Phenotype criteria, and 26 anthropometric measures were obtained. The predictive ability of anthropometric measures in identifying frailty was identified through logistic regression and an artificial neural network. The accuracy of the final models was assessed with an ROC curve.

Results: The final model comprised the following predictors: weight, waist circumference, bicipital skinfold, sagittal abdominal diameter, and age. The final neural network models presented a higher ROC curve of 0.78 (CI 95% 0.74-0.82) (P < 0.001) than the logistic regression model, with an ROC curve of 0.71 (CI 95% 0.66-0.77) (P < 0.001).

Conclusion: The neural network model provides a reliable tool for identifying prefrailty/frailty in the elderly, with the advantage of being easy to apply in the primary health care. It may help to provide timely interventions to ameliorate the risk of adverse events.

Pet ownership has been shown to improve quality of life for older adults. The objective of this cross-sectional study was to compare older pet owners and older non-pet owners and assess differences between groups. This study was conducted on adults over 50 years of age, who owned either one cat or one dog versus nonowners based on age, race, gender, and education. Matched older pet owners (OPO) versus non-pet owners (NPO) pairs (n = 84), older cat owners (OCO) versus non-cat owners (NCO) (n = 29), and older dog owners (ODO) versus non-dog owners (NDO) pairs (n = 55) were analyzed. No differences were found between OPO and NPO for dietary, activity, or lifestyle, except OPO had fewer health conditions [p < 0.03]. Total OCO had greater body mass indices [BMI] (μ = 29.6 ± 8.2) than ODO (μ = 23.2 ± 5.2) [p < 0.02], less activity [p < 0.02], and shorter duration of activity [p < 0.05] and took fewer supplements [p < 0.003]. OCO and NCO differed on health conditions (μ = 0.8 ± 0.9 versus μ = 1.9 ± 1.3, [p < 0.008]) and ODO versus NDO differed on BMI (μ = 25 ± 4 versus μ = 27 ± 6, [p < 0.04]). Although there are limitations to this study, data may be useful for targeting marketing and health messages to older persons.

Mortality in chronic kidney disease remains high, particularly among the elderly, who represent the most rapidly growing segment of the end-stage renal disease population in wealthier countries. The management of older adults with chronic kidney disease has become a clinical challenge, and care for those patients expected to progress to end-stage renal disease should focus on evaluating the overall benefit of offering renal replacement therapy to them. Predictive mortality models may help to inform shared decision-making in the trajectory of the elderly with chronic kidney disease. This review discusses current literature on the available predictive models for predicting survival in elderly chronic kidney disease patients and reflects the author's own interpretation and experience.