Body mass index (BMI), body composition and mortality of nursing home elderly residents

Relationship between nutritional status and clinical outcomes among older individuals using long-term care services: A systematic review and meta-analysis

BACKGROUND & AIMS

Nutritional status is a significant issue in an aging society; however, the impact of the nutritional status of older individuals using long-term care services on the caregiving burden remains unclear. This systematic review and meta-analysis aimed to investigate the impact of nutritional issues on adverse outcomes in older individuals using long-term care services.

METHODS

We used data from the Cochrane Central Register of Controlled Trials, MEDLINE, Embase, Web of Science, CINAHL, and Ichu-shi Web databases. Original articles published in English or Japanese between January 2000 and July 2022 were included. The inclusion criteria were interventional and observational studies on individuals using long-term care services with aged ≥65 years and a focus on body weight or weight loss. Data on adverse outcomes related to caregiving burden, including the number of people requiring care, mortality, complications, activities of daily living (ADL), and quality of life, were collected.

RESULTS

The literature search yielded 7873 studies, of which 35 were ultimately included. Seven observational studies investigated mortality outcomes, and seven examined ADL outcomes. The meta-analysis revealed significantly higher mortality rates in individuals classified as underweight (BMI <18.5 kg/m2) than in those with BMI ≥18.5 kg/m2 (risk ratio [RR] 1.49; 95 % confidence interval [CI] 1.31 to 1.73, 0.22; I2 93 %). Further, on categorising the participants based on a BMI cutoff of 25 kg/m2, those with a BMI of <25 kg/m2 had a significantly increased mortality rate (RR 1.21; 95 % CI 1.04-1.40; I2 = 98 %). BMI and weight loss did not affect ADL.

CONCLUSIONS

Our findings indicate that underweight and weight loss are significantly associated with increased mortality in older individuals using long-term care services. Therefore, appropriate weight management is recommended for this population. However, further research is necessary owing to the high heterogeneity observed in this study.

Relationship between frailty, nutrition, body composition, quality of life, and gender in institutionalized older people

Our aim was to explore the relationship between frailty, nutrition, body composition, and how gender modifies this relationship among long-term care facility residents. We further investigated how body composition correlates with health-related quality of life (HRQoL) in both genders. In all, 549 residents (> 65 years of age) were recruited from 17 long-term care facilities for this cross-sectional study. Demographic information, diagnoses, use of medications, and nutritional supplements were retrieved from medical records. Participants' frailty status, cognition, nutritional status, HRQoL, and body composition were determined. Energy, protein, and fat intakes were retrieved from 1- to 2-day food diaries. The final sample consisted of 300 residents (77% women, mean age 83 years). The majority of participants, 62% of women and 63% of men, were identified as frail. Frail participants in both genders showed lower body mass index (p = 0.0013), muscle mass (MM) (p < 0.001), poorer nutritional status (p = 0.0012), cognition (p = 0.0021), and lower HRQoL (p < 0.001) than did prefrail participants. Women had higher fat mass, whereas men exhibited higher MM. The HRQoL correlated with the MM in both women, r = 0.48 [95% CI 0.38, 0.57] and men r = 0.49 [95% CI 0.38, 0.58]. Interventions aimed at strengthening and retaining MM of long-term residents may also support their HRQoL.

Effects of age and gender on body composition indices as predictors of mortality in middle-aged and old people

To determine whether body composition indices interact with age and gender as a predictor of all-cause mortality, 1200 participants at least 40 years of age were recruited in 2009 and 2010. A multi-frequency bioelectrical impedance analysis device was used to measure each participant's body composition indices, including the fat mass index (FMI), fat free mass index (FFMI), skeletal muscle mass index (SMMI), and visceral fat area index (VFAI). A baseline questionnaire was used to collect demographic information about lifestyle habits, socioeconomic status, and medical conditions. All claimed records of death from 2009 to 2018 in the National Health Insurance Research Databank were identified. The all-cause mortality rate was 8.67% after a mean follow-up period of 5.86 ± 2.39 person-years. The Cox proportional hazard model analysis showed significantly negative associations between FFMI or SMMI with all-cause mortality in the total group and those aged ≥ 65 y/o. The FFMI and SMMI were negative predictors of mortality in both genders. The FMI and VFAI were positive predictors of mortality exclusively in females. In conclusion, the SMMI is a better predictor of mortality than the BMI, FMI, and FFMI, especially in older adults. A higher fat mass or visceral fat distribution may predict higher mortality in females.

Effects of an individualized and progressive multicomponent exercise program on blood pressure, cardiorespiratory fitness, and body composition in long-term care residents: Randomized controlled trial

This study analyzed the effects of an individualized and progressive multicomponent exercise program on blood pressure, cardiorespiratory fitness, and body composition in long-term care residents. This was a single-blind, multicenter, randomized controlled trial performed in 10 long-term care settings and involved 112 participants. Participants were randomly assigned to a control group or an intervention group. The control group participated in routine activities; the intervention group participated in a six-month individualized and progressive multicomponent exercise program focused on strength, balance, and walking recommendations. The intervention group maintained peak VO₂, oxygen saturation, and resting heart rate, while the control group showed a significant decrease in peak VO₂ and oxygen saturation and an increase in resting heart rate throughout the six-month period. Individualized and progressive multicomponent exercise programs comprising strength, balance, and walking recommendations appear to be effective in preventing cardiorespiratory fitness decline in older adults living in long-term care settings.

The importance of body composition assessment in the rehabilitation process

Introduction. This personal study provides several aspects of the importance of body composition assessment in rehabilitation process in order to manage fat mass (FM), fat-free mas imbalances (FFM), pre-sarcopenia status, sarcopenia and risks association and to improve global functionality. Health outcomes and risk estimations regarding fat mass and skeletal muscle mass (SMM) plays a major role and should be integrated into the rehabilitation process routine in order to avoid functional impairment and physical disability by applying specific kinetic programs. Material and method. A number of 14 subjects classified as outpatients who have received physical therapy at home- kinesiotherapy for post-fracture / dislocation status of the lower limbs in accordance with the medical recommendations and legislation in force. At the end of the rehabilitation phase, the body composition was measured using bio impedance in order to adjust the next step of the active rehabilitation. The measurements were obtained with a completely bioelectrical impedance analyzer (BIA). Single frequency BIA (SF-BIA) was used. For each subject major body compartments determined as FFM (including bone mineral tissue, total body water-TBW and visceral protein), SMM and FM were measured as a tissue-system by means of linear empirical equations stored in the system memory together with personal physical data. IBM SPSS software version 25 was used for statistical analysis. Results and discussions. Four age groups determined as follows: 21.43% for 18-39 years, 50-69 years, >70 years each and 35.71% for 40-49 years, based on the rate of muscle loss, because its integrity is essential for rehabilitation program. From the 14 subjects there are 57.14 % men and 42.86% women, from urban environment 78.57% and rural 21.43%. Mean Age is 48.79 years ± 18.792 Std. Deviation. Fat mass from BIA recorded 21.43% cases low and normal each, and high/very high 57.14% of total cases. Consequently, of BMI (body mass index) association, 57.14% are at normal weight, 35.71% overweight and with obesity and 7.14% underweight. One Sample Chi-Square test applied to BMI Type Associate with FM reveals the statistical significance, < .05(.014). Fat-free mass index (FFMI), fat mass index (FMI), skeletal mass index (SMI) were computed by adjusted with height square. FMI somatotype components results are 64.3% adipose cases, 21.4% intermediate and 14.3% lean. One Sample Chi-Square test applied to FMI Types reveals the statistical significance < .05(.046). Regression equation of standard BMI and FMI with scatter plots for 77.8% of cases was computed in the present study. FFMI somatotype components recorded 57.1% intermediate cases, 21.4% slender and solid each. Regression equation of standard BMI and FFMI with scatter plots for 57.4% of cases was computed. Three patients exceeded 15 seconds at the chair stand test so probable sarcopenia was identified. From BIA were extracted the value for the skeletal mass and SMI was calculated by height adjusted: 13 (92.86%) cases have normal values and one (7.14%) case have optimal value. Regression equation of standard BMI and SMI with scatter plots for 66.4% of cases was computed. Pearson correlation (CI =99%) denotes strong statistical relationship between BMI and FMI (r=0.882), FFMI (r=0.815), Age (r=0.659), Water (r=-0.693). FMI also correlates strongly with Age (r= 0.707), Water (r=-0.925) and Proteins values (r=-0.819). FFMI also correlates strongly with SMI (r=0.984). Water correlates with Protein (r=0.848, CI = 99%). Beta regression analysis strongly correlates SMI prediction with FFMI (ß=0.731), Water (ß=0.138) and Protein (ß=-0.370) for p<0.05. Anova significance of .000 (CI=99%) with applicability of 99.8% of the cases (R2 =0.998) proved that constant predictors: Water (%), FFMI, Proteins (%), FMI, BMI interact to influence SMM variability. 64.25% of subjects recorded an insufficient water level and 71.43% of subjects recorded an insufficient proteins level. Body composition evaluation should be integrated into routine clinical practice for the initial assessment and sequential follow-up and the strongest point of BIA is the possibility to replace invasive laboratory analysis with a quick, noninvasive test that can be carried out in a medical office. Body composition evaluation should be performed at the different stages of the disease, during the course of treatments and the rehabilitation phase. Conclusions. For each patient specific kinetic program will be developed. FMI increase (64.3% adipose cases) denotes the risk of metabolic syndrome and insulin resistance. Consequently, resistive and concentric exercises will be applied. For FFMI loss (57.1% intermediate cases, 21.4% slender) and SMI increasing (92.86% cases have normal values but not optimal ones, 21.43% pre-sarcopenia detected by positive chair test) resistance, eccentric/concentric exercises should be applied. All kinetic programs will be preceded by warm-up and followed by stretching taking into account cardiac reserve for each patient. Maximal/sub-maximal force exercises will be used age-related. Additional water (64.25% of subjects recorded an insufficient water level) and proteins levels (71.43% of subjects recorded an insufficient proteins level) must be balanced by nutritional support in accordance with rehabilitation consult and current physician approval in the interdisciplinary team. BIA may be an important supporting tool for health professionals in order to customize the rehabilitation programs for each patient. Keywords: body composition, rehabilitation, bioelectrical impedance, fat-free mass index, fat mass index, skeletal muscle index,

Body fat predicts exercise capacity in persons with Type 2 Diabetes Mellitus: A machine learning approach

Diabetes mellitus is associated with increased cardiovascular disease (CVD) related morbidity, mortality and death. Exercise capacity in persons with type 2 diabetes has been shown to be predictive of cardiovascular events. In this study, we used the data from the prospective randomized LOOK AHEAD study and used machine learning algorithms to help predict exercise capacity (measured in Mets) from the baseline data that included cardiovascular history, medications, blood pressure, demographic information, anthropometric and Dual-energy X-Ray Absorptiometry (DXA) measured body composition metrics. We excluded variables with high collinearity and included DXA obtained Subtotal (total minus head) fat percentage and Subtotal lean mass (gms). Thereafter, we used different machine learning methods to predict maximum exercise capacity. The different machine learning models showed a strong predictive performance for both females and males. Our study shows that using baseline data from a large prospective cohort, we can predict maximum exercise capacity in persons with diabetes mellitus. We show that subtotal fat percentage is the most important feature for predicting the exercise capacity for males and females after accounting for other important variables. Until now, BMI and waist circumference were commonly used surrogates for adiposity and there was a relative under-appreciation of body composition metrics for understanding the pathophysiology of CVD. The recognition of body fat percentage as an important marker in determining CVD risk has prognostic implications with respect to cardiovascular morbidity and mortality.

Bioelectrical impedance analysis and dual x-ray absorptiometry agreement for skeletal muscle mass index evaluation in sarcopenia diagnosis

BACKGROUND

All definitions for diagnosing sarcopenia include the estimation of muscle mass. This can be made using bioelectrical impedance analysis (BIA) or dual x-ray absorptiometry (DXA). BIA is a portable and inexpensive method suitable for clinical settings, while DXA is cumbersome, more expensive and less available.

OBJECTIVES

To evaluate the interchangeability of both techniques for skeletal muscle mass index (SMI) estimation, and assess whether the two methods are comparable for the diagnosis of sarcopenia.

APPROACH

Prospective, cross-sectional study.

SETTING

Faculty for Health Sciences, Universidad de Caldas, Colombia.

PARTICIPANTS

Seventy-two subjects aged 65-80 years were recruited.

MEASUREMENTS

BIA and DXA for SMI estimation and sarcopenia diagnoses using the definition of the European Working Group on Sarcopenia in Older People (EWGSOP). Of the 72 patients, 28 were diagnosed with sarcopenia by BIA and corroborated by DXA were included in the study. To establish the agreement between techniques, the intraclass correlation coefficient and the concordance correlation coefficient were calculated. A Bland-Altman plot evaluated the agreement. To evaluate agreement on the diagnosis of sarcopenia, a Cohen's kappa test was performed.

MAIN RESULTS

Agreement between SMI by BIA and DXA was good according to the intraclass correlation coefficient (ICC 0.7 95% CI 0.5 to 0.8) but poor when the concordance correlation coefficient was used (CCC 0.4 was calculated 95% CI 0.3 to 0.5). The Bland-Altman analysis showed a clinically unacceptable discrepancy between the methods; the confidence intervals were too wide; the difference between methods tends to get larger as the average increases and the scatter around the bias line get larger as the average gets higher. Cohen's kappa test was 0.2 (SEE: 0.1).

SIGNIFICANCE

The agreement between BIA and DXA was weak. We concluded that, in this studied population, the methods were not interchangeable. Results may improve if a specific formula in a greater sample size is used.

‘Mind the gap’: the importance of managing malnutrition in chronic obstructive pulmonary disease

Malnutrition is linked to poor outcomes in patients with chronic obstructive pulmonary disease (COPD), and reduced fat free mass and low BMI are independent risk factors for increased mortality. However, weight loss is not inevitable and can be prevented or reversed so screening for malnutrition is essential. The latest guidelines for managing malnutrition in COPD recommend first-line nutritional support. In particular, patients with a BMI <20 kg/m2 should be prescribed oral nutritional supplements (ONS), which have been shown to significantly improve outcomes. However, this guidance is often not implemented locally, increasing the likelihood of malnutrition, hospital admission and increased healthcare costs. Ready-prepared, low-volume, high-protein, high-energy drinks can improve compliance with ONS, particularly in people who are unable to tolerate high volumes. ONS therefore play an important role in managing malnutrition in COPD, helping to reduce its physiological and economic effects.

Independent Functioning in Nonagenarians Living in a Rural Italian Community: The Mugello Study

Nonagenarians are a fast-growing population deserving specific research. We explored the prevalence and characteristics of functionally independent nonagenarians from a rural community-dwelling Italian population. Data were collected in the Mugello Study; 475 persons aged ≥90 years (median age, 92) underwent a home-based clinical and functional assessment, including psychosocial, clinical, functional, and lifestyle history and status and physical and instrumental examinations. Sixty-eight (15%) persons reported no need for help in basic and instrumental daily living activities. Among variables significantly associated with independent functionality after age- and gender-adjusted cross-sectional analysis, lower body mass index (BMI; p = .034) and depressive symptoms (p = .028), higher current physical activity (p < .001), better cognitive status (p = .033), and lower medication intake (p = .048) were associated with reporting no disability in the logistic regression analysis. Disability was mainly associated with current lifestyle-related potentially modifiable factors. Thus, lifestyle-oriented multidimensional interventions, should be developed and evaluated for their potential effects on functionality, even in the oldest old.

Skeletal Muscle Mass as a Mortality Predictor among Nonagenarians and Centenarians: A Prospective Cohort Study

This study aimed to evaluate the association between skeletal muscle mass and long-term all-cause mortality among nonagenarians and centenarians in China. We used data from the Project of Longevity and Aging in Dujiangyan (PLAD). A total of 738 community-dwelling people aged ≥ 90 years (mean age of 93.5 ± 3.2 years) were analyzed in this study. The appendicular skeletal muscle mass (ASM) was estimated using a previously validated anthropometric equation. The information on the survival status was requested from the local government registries during the 4 year follow-up period following the baseline investigation. The mean muscle mass index (SMI) was 6.11 ± 0.53 kg/m² in men and 4.00 ± 0.63 kg/m² in women, respectively. Low muscle mass was associated with a higher risk of death (hazard ratio [HR] 1.54; (95% confidence interval [CI]:1.10–2.16) in women; however, no significant association was found in men. Disability in activities of daily living (ADL) (HR = 1.73; 95% CI: 1.13–2.63) in men and women and cognitive impairment (HR = 1.49; 95% CI: 1.05–2.13) in men were also associated with increased all-cause mortality. In conclusion, low muscle mass were predictors of long-term mortality in nonagenarian and centenarian women.

The Effect of Age upon the Interrelationship of BMI and Inpatient Health Outcomes

OBJECTIVES

There is growing evidence that the relationship between body mass index (BMI - defined as weight in kilograms divided by height in metres squared) and patient outcomes is age-dependent; specifically, a raised BMI may have a protective effect in older adults. This has been demonstrated clearly in the community setting; less clear is the effect of age on this relationship in the inpatient setting.

DESIGN, SETTING, PARTICIPANTS AND MEASUREMENTS

Retrospective analysis of 22,903 electronic records for patients discharged from two large public hospitals in South Australia between January 2015 and September 2018 inclusively. Records were retained if the patient's height and weight had been recorded during the admission, BMI was between 10-99 kg/m2 and it was the patient's first admission during that time. Patients were grouped by BMI (<18.5 kg/m2 ("underweight"), 18.5-24.9 kg/m2 ("normal weight"), 25-29.9 kg/m2 ("overweight"), >30 kg/m2 ("obese")) and age (18-59 years, 60-79 years, > 80 years); for each group we measured the relative stay index (RSI) (actual length of stay divided by predicted length of stay), death in hospital and composite adverse outcome after discharge (unplanned readmission within 30 days and/or death within 30 days).

RESULTS

Underweight patients across all age groups generally experienced significantly poorer outcomes compared to those not underweight. In those aged 18-59 years there were no significant differences in outcomes between the normal weight, overweight and obese groups. In those aged 60-79 years overweight patients had a significantly reduced risk of RSI > 2 compared to those of normal weight (p=0.014), and both overweight and obese patients had a significantly reduced risk of adverse outcome after discharge when compared to those of normal weight (p=0.028 and p=0.009 respectively). In those aged 80 years or older, both overweight and obese patients had a significantly reduced risk of adverse outcome after discharge when compared to those of normal weight (p=0.028 and p=0.013 respectively), and obese patients had a significantly reduced risk of inpatient mortality and RSI >2 when compared to those of normal weight (p=0.027 and p=0.037 respectively).

CONCLUSION

A BMI > 25 kg/m2 in older patients is associated with reduced risk of prolonged admission, inpatient mortality and adverse outcomes following discharge. This adds to growing evidence that age-specific BMI guidelines are required for adults because the healthiest BMI in the older hospital patient is seemingly not in the range 18.5-24.9 kg/m2.

Precocious glucocorticoid exposure reduces skeletal muscle satellite cells in the fetal rat

Perinatal skeletal muscle growth rates are a function of protein and myonuclear accretion. Precocious exposure of the fetus to glucocorticoids (GLC) in utero impairs muscle growth. Reduced muscle protein synthesis rates contribute to this response, but the consequences for myonuclear hyperplasia are unknown. To test the hypothesis that blunting of Pax7+ muscle progenitor cell proliferative activity by GLC in vivo also contributes to reduced fetal muscle growth, pregnant rats were administered dexamethasone (DEX: 1 mg/L drinking water) from embryonic day (ED) 13 to ED21. Their responses were compared to pair-fed (PF) and ad libitum-fed controls (CON). Bromodeoxyuridine (BrdU) was administered before delivery to measure myonuclear accretion. Fetal hind limb and diaphragm muscles were collected at term and analyzed for myofiber cross-sectional area (CSA), total and BrdU+ myonuclei, Pax7+ nuclei, MyoD and myogenin protein and mRNA abundance and myosin heavy chain (MyHC) isoform composition. Mean fiber CSA, myonuclei/myofiber and Pax7+ nuclei/myofiber ratios were reduced in DEX compared to those in CON and PF muscles; CSA/myonucleus, BrdU+/total myonuclei and BrdU+ myonuclei/Pax7+ nuclei were similar among groups. Myogenin abundance was reduced and MyHC-slow was increased in DEX fetuses. The data are consistent with GLC inhibition of muscle progenitor cell proliferation limiting satellite cell and myonuclear accretion. The response of PF-fed compared to CON muscles indicated that decreased food consumption by DEX dams contributed to the smaller myofiber CSA but did not affect Pax7+ nuclear accretion. Thus, the effect on satellite cell reserve and myonuclear number also contributes to the blunting of fetal muscle growth by GLC.

Effects of Diet Intervention on Body Composition in the Elderly with Chronic Kidney Disease

Objective: It has been uncertain that low protein diet for patients with chronic kidney disease (CKD) may predispose to malnutrition. The study aimed to investigate the effects of low protein diet on body composition of CKD patients and analyze the influence of age. Methods: Patients with glomerular filtration rate less than 45 mL/min/1.73m² including 103 elderly (70.7 ± 6.9 years old) and 56 non-elderly (49.8 ± 9.1 years old) CKD patients were enrolled. All patients were educated by dietitians to take low protein diet and were followed up regularly every three months. Their demographic data, underlying disease and body mass index (BMI) were reviewed and recorded. Results of body composition measurement and laboratory tests were collected every three months for one year. Results: At baseline, the distribution of body composition was similar in non-elderly patients between non-low and low protein groups. In the elderly, patients in low protein group had higher fat and lower muscle percentage. In one-year follow-up, non-elderly patients did not present significant changes in their BMI, serum albumin level and body compositions in both protein groups. Non-low protein group in elderly patients had significant decrease in BMI and estimated glomerular filtration rate (eGFR) after 12 months (both p< 0.05). Determination in body composition showed decrease in fat and increase in muscle component. In low protein group, their BMI was decreased and eGFR was not influenced. Fat component was decreased and muscle percentage was increased in one-year follow-up. Conclusions: In elderly CKD patients, low protein diet maintained good nutritional status and muscle mass was preserved.

Inverse relationship between body mass index and mortality in older nursing home residents: a meta-analysis of 19,538 elderly subjects

Body mass index (BMI) and mortality in old adults from the general population have been related in a U-shaped or J-shaped curve. However, limited information is available for elderly nursing home populations, particularly about specific cause of death. A systematic PubMed/EMBASE/CINAHL/SCOPUS search until 31 May 2014 without language restrictions was conducted. As no published study reported mortality in standard BMI groups (<18.5, 18.5-24.9, 25-29.9, ≥30 kg/m(2)), the most adjusted hazard ratios (HRs) according to a pre-defined list of covariates were obtained from authors and pooled by random-effect model across each BMI category. Out of 342 hits, 20 studies including 19,538 older nursing home residents with 5,223 deaths during a median of 2 years of follow-up were meta-analysed. Compared with normal weight, all-cause mortality HRs were 1.41 (95% CI = 1.26-1.58) for underweight, 0.85 (95% CI = 0.73-0.99) for overweight and 0.74 (95% CI = 0.57-0.96) for obesity. Underweight was a risk factor for higher mortality caused by infections (HR = 1.65 [95% CI = 1.13-2.40]). RR results corroborated primary HR results, with additionally lower infection-related mortality in overweight and obese than in normal-weight individuals. Like in the general population, underweight is a risk factor for mortality in old nursing home residents. However, uniquely, not only overweight but also obesity is protective, which has relevant nutritional goal implications in this population/setting.

Measurement of body composition as a surrogate evaluation of energy balance in obese patients

In clinical practice obesity is primarily diagnosed through the body mass index. In order to characterize patients affected by obesity the use of traditional anthropometric measures appears misleading. Beyond the body mass index, there are overwhelming evidences towards the relevance of a more detailed description of the individual phenotype by characterizing the main body components as free-fat mass, muscle mass, and fat mass. Among the numerous techniques actually available, bioelectrical impedance analysis seems to be the most suitable in a clinical setting because it is simple, inexpensive, noninvasive, and highly reproducible. To date, there is no consensus concerning the use of one preferred equation for the resting energy expenditure in overweight and/or obese population. Energy restriction alone is an effective strategy to achieve an early and significant weight loss, however it results in a reduction of both fat and lean mass therefore promoting or aggravating an unfavourable body composition (as sarcobesity) in terms of mortality and comorbidities. Therefore the implementation of daily levels of physical activity should be simultaneously promoted. The major role of muscle mass in the energy balance has been recently established by the rising prevalence of the combination of two condition as sarcopenia and obesity. Physical exercise stimulates energy expenditure, thereby directly improving energy balance, and also promotes adaptations such as fiber type, mitochondrial biogenesis, improvement of insulin resistance, and release of myokines, which may influence different tissues, including muscle.

Effect of weight loss on mortality in overweight and obese nursing home residents during a 5-year follow-up

BACKGROUND/OBJECTIVES

The objective of this study was to ascertain the effect of weight loss over the course of 1 year on 5-year mortality in old nursing home (NH) residents in different classes of body mass index (BMI).

SUBJECTS/METHODS

A longitudinal study was conducted on 161 NH residents aged ⩾ 70 years at the Istituto di Riposo per Anziani, Padova, Italy. Data were collected using a comprehensive geriatric assessment at baseline and at a 1-year follow-up visit. Mortality was recorded over a 5-year follow-up. We divided our sample into four groups using as cutoffs a BMI of 25 and a weight gain or loss of 5% at 1 year (BMI ⩾ 25 and weight stable/gain, BMI ⩾ 25 and weight loss, BMI<25 and weight stable/gain and BMI <25 and weight loss).

RESULTS

People with a BMI ⩾ 25 and weight loss suffered the worst decline in activities of daily living, whereas those with a BMI <25 and weight loss had the most significant decline in nutritional status, which coincided with the worst decline in the Multidimensional Prognostic Index among the groups whose weight changed. Compared with those with a BMI ⩾ 25 and weight stable/gain (reference group), those with a BMI <25 were at the highest risk of dying (in association with weight loss: hazard ratio HR=3.60, P=0.005; in association with weight stable/gain: HR=2.45, P=0.01), and the mortality risk was also increased in people with a BMI ⩾ 25 and weight loss (HR=1.74, P=0.03).

CONCLUSIONS

In conclusion, weight loss increases the mortality risk in frail, disabled NH residents, even if they are overweight or obese.

Urine creatinine-based estimates of fat-free mass in community-dwelling older persons: the Rancho Bernardo study

OBJECTIVES

To determine whether a previously developed and externally validated equation using common variables (demographics and weight) that are important determinants of muscle mass to estimate 24-hour urine creatinine excretion rate (eCER) is associated with muscle mass and whether spot urine creatinine (UCr) provides similar estimates of muscle mass.

DESIGN

Observational cross-sectional cohort study.

SETTING

The Rancho Bernardo Study, San Diego, California.

SUBJECTS

A total of 1,371 Caucasian, middle class, community-dwelling older adults.

INTERVENTION

Morning spot UCr and fat-free mass (FFM) by dual-energy x-ray absorptiometry were measured. eCER was calculated: eCER (mg/day) = 879.89 + 12.51 × weight (kilogram) - 6.19 × age + 34.51 if black - 379.42 if female. Pearson correlation coefficients and linear regression were used to determine strengths of association of eCER and spot UCr with FFM.

RESULTS

Mean age was 70 years, and 58% were women. eCER was strongly correlated with FFM (r = 0.95, P < .001), a correlation that was superior to that of spot UCr (r = 0.40, P < .001).

CONCLUSIONS

An equation incorporating age, weight, sex, and race to estimate eCER is highly correlated with FFM in community-dwelling older persons and provides a more precise estimate than spot UCr. A simple screening tool for sarcopenia in older persons may allow interventions to maintain or improve muscle mass. Future studies should evaluate whether eCER predicts sarcopenia-related frailty and mortality in older persons.

Ten-year all-cause mortality in hospitalized non-surgical patients based on nutritional status screening

OBJECTIVE

Malnutrition is common in patients admitted to hospital due to acute illness and contributes to negative patient outcomes. In Slovakia there is a lack of relevant data on malnutrition in hospitalized patients, particularly based on chronic co-morbidity and survival. The aim of the present study was to explore the prevalence of malnutrition in hospitalized chronic patients, its relationship to co-morbidity and its impact on 10-year survival.

DESIGN

Retrospective cohort study.

SETTING

Nutritional status was estimated by Subjective Global Assessment (SGA), BMI and serum albumin level. Survival was assessed from the National Insurance Registry over a 10-year period. The association between nutritional status measured by SGA and 10-year survival controlling for age, gender, BMI and serum albumin was analysed using Cox regression.

SUBJECTS

Data were taken from the medical records of 202 consecutively admitted chronic patients. Results Median age was 63·5 years; 55·4 % were males; median BMI was 25·9 kg/m2; median serum albumin level was 39·0 g/l. Based on SGA evaluation, 38·1 % did not have sufficient nutritional status (SGA classification B and C). Malnutrition was more common in patients who were older (P=0·023), with lower BMI (P<0·001), who had gastrointestinal (P=0·049) and oncologic co-morbidity (P=0·021) and lower albumin level (P=0·049). In-hospital mortality was 3 %, but during the following 10 years 52 % died. Cox regression analysis controlling for age, gender, BMI and serum albumin showed that SGA was an independent predictor of death (hazard ratio=1·55; 95 % CI 1·04, 2·32; P=0·031).

CONCLUSIONS

SGA is a simple screening tool that can be routinely used in hospitalized Slovak medical patients to predict the risk of death. Improving patient nutrition could thus reduce mortality.

Sarcopenia: burden and challenges for public health

Sarcopenia, operationally defined as the loss of muscle mass and muscle function, is a major health condition associated with ageing, and contributes to many components of public health at both the patient and the societal levels. Currently, no consensual definition of sarcopenia exists and therefore it is still a challenge to establish the actual prevalence of sarcopenia or to establish the direct and indirect impacts of sarcopenia on public health. Anyway, this geriatric syndrome represents a huge potential public health issue because of its multiple clinical and societal consequences. Moreover, all these aspects have an impact on healthcare costs both for the patient and the society. Therefore, the implementation of effective and broadly applicable preventive and therapeutic interventions has become a medical and societal challenge for the growing number of older persons affected by sarcopenia and its disabling complications.

Prevalence of sarcopenia among healthy ambulatory subjects: the sarcopenia begins from 45 years

BACKGROUND AND AIMS

Sarcopenia has been indicated as a reliable marker of frailty and poor prognosis among the oldest individuals. There are only few data on sarcopenia in healthy general population. We evaluated the prevalence of sarcopenia and its association with functional and clinical status in a population of healthy ambulatory subjects over 45 years living at home, in Paris (France).

METHODS

This study was conducted selecting all ambulatory participants (n = 1,445) aged 45 years and older from October 2008 to September 2011, consulting in the Institute of Physiology (Institut de Jaeger) from Paris (France) for a functional and muscular evaluation, and did not have limitations to moderate physical exercise. All were healthy people. All subjects performed a medical examination, associated with evaluation of muscle mass (body composition assessment using dual-energy X-ray absorptiometry) and of muscle function (by hand grip strength). Diagnosis of sarcopenia required the documentation of low muscle mass with low muscle strength according to the current international consensus definition of sarcopenia.

RESULTS

From 1,421 participants (553 males and 868 females) definitively enrolled, 221 subjects (135 females and 86 males) (15.5 %) were identified as sarcopenic. Results from multivariate logistic regression models showed that sarcopenia was inversely associated with BMI with those participants with BMI higher than 22 kg/m(2) showing a lower risk of sarcopenia relative to those with BMI less than 21 kg/m(2) (OR 0.72; 95 % CI 0.60-0.91). Similarly, probability of sarcopenia was lower among subjects involved in leisure physical activities for 3 h or more per week (OR 0.45; 95 % CI 0.24-0.93). According to the category of age [45-54; 55-64; 65-74; 75-84 and 85 years or more], the prevalence of sarcopenia in women increase from 9.1; 12.7; 14.5; 19.4; to 33.3 %, respectively. For the men, the percentage of sarcopenia increase with aging from 8.6; 15.6; 13.6; 63.8 to 45.5 %, respectively.

CONCLUSIONS

The present study suggests that among healthy ambulatory subjects over 45 years living at home, sarcopenia is frequent, even to the youngest subjects of the studied population, taking place from 9 % from 45 years, until 64.3 % for the subjects over 85 years. Our findings support the hypothesis that muscle mass and function are associated with BMI and physical activity, whatever the age of the subject.

The Mugello study, a survey of nonagenarians living in Tuscany: design, methods and participants' general characteristics

BACKGROUND

Previous studies on nonagenarians have widely investigated functional and cognitive decline, falls, predictors of mortality, inflammation and aging genetics. However, some intriguing domains, such as body composition, daily energy expenditure, sleep quality and physical activity, as well as endothelial progenitor cells and "omics" fields, such as proteomics or metabolomics, have been poorly explored. In this preliminary paper we report design, methods and characteristics of participants in the Mugello Study, a survey of nonagenarians aimed at filling these gaps.

METHODS

475 non selected nonagenarians, 130 men and 345 women, mean age 92.6 years ± SD 2.6, received a visit by a trained physician at their residence. Along with the assessment of social, functional and cognitive status, reported in this paper, participants also underwent instrumental examinations, including body impedance assessment and continuous direct calorimetry, and were administered a series of validated questionnaires. Further, 385 participants accepted to undergo blood withdrawal.

RESULTS

In 52 cases the visit was conducted in nursing homes. Among the 423 home-living participants, 91 lived alone and 77 were not looked after by any caregiver. Altogether, 154 participants over 475 were free from disabilities and 266 showed Mini Mental State Examination raw scores ≥ 21. Men showed less disability and cognitive impairment (p<0.001, for both).

CONCLUSIONS

As a whole, our findings are comparable to those reported in other surveys. Future studies, by using the Mugello Study database and biologic bank, that will be available to all researchers, will shed some more light on the aging process in nonagenarians.

Anorexia of aging and gut hormones

We are expected to live longer than if we had been born 100 years ago however, the additional years are not necessarily spent in good health or free from disability. Body composition changes dramatically over the course of life. There is a gradual increase in body weight throughout adult life until the age of about 60-65 years. In contrast, body weight appears to decrease with age after the age of 65-75 years, even in those demonstrating a previous healthy body weight. This age related decrease in body weight, often called unintentional weight loss or involuntary weight loss can be a significant problem for the elderly. This has been shown to be related to decline in appetite and food intake is common amongst the elderly and is often referred to the anorexia of aging. Underlying mechanisms regulate energy homeostasis and appetite may change as people age. In this review, peripheral factors regulating appetite have been summarized in regards to their age-dependent changes and role in the etiology of anorexia of aging. Understanding the alterations in the mechanisms regulating appetite and food intake in conjunction with aging may help inform strategies that promote healthy aging and promote health and wellbeing in the elderly years, with the end goal to add life to the years and not just years to our lives.

Association between body mass index and mortality among institutionalized elderly adults in Japan

BACKGROUND

The purpose of this study is to assess the association between body mass index (BMI) and mortality among nursing home residents in Japan.

METHODS

A one-year prospective cohort study was conducted with 8,510 elderly individuals across 140 nursing homes. Baseline measurements included age, sex, height, weight, BMI, activities of daily living (ADL) (Barthel Index), and degree of dementia. Information regarding dates of discharge and mortality were also obtained to calculate person-years. Cox's proportional hazards model was used to estimate hazard ratios.

RESULTS

Mean age and BMI were 84.3 [standard deviation (SD) 8.1] years and 20.6 (SD 3.8) kg/m²), respectively. Hazard ratios of mortality adjusted for sex, age, ADL, degree of dementia, and type of home were 2.4 [95 % confidence interval (CI): 1.9-3.1] for the 1st quintile of BMI (<17.3 kg/m²), 1.7 (95 % CI: 1.3-2.3) for the 2nd quintile (17.3-19.2 kg/m²), 1.5 (95 % CI: 1.2-2.0) for the 3rd quintile (19.3-21.1 kg/m²), and 1.2 (95 % CI: 0.9-1.6) for the 4th quintile (21.2-23.5 kg/m²) (P for trend <0.001), compared with the reference 5th quintile (23.6≤ kg/m²).

CONCLUSIONS

There was a clear inverse dose-dependent relationship between BMI and mortality. Future studies should be conducted to determine the effects of nutritional intervention on mortality in institutionalized elderly adults.

Percutaneous endoscopic gastrostomy (PEG) tube feeding of nursing home residents is not associated with improved body composition parameters

OBJECTIVES

To study differences in nutritional status and body composition, by feeding modality, among disabled nursing home residents.

DESIGN

A retrospective chart-review study.

SETTING

A nursing wing of a public urban geriatric center.

PARTICIPANTS

Three groups of patients: non-dysphagic, orally-fed dysphagic and percutaneous endoscopic gastrostomy -fed dysphagic patients.

INTERVENTION

Standard nursing care.

MEASUREMENTS

Basal metabolic rate, total energy expenditure and nitrogen balance under oral or percutaneous endoscopic gastrostomy feeding. Dietary intake was assessed during a 3-days period by daily-food intake protocols and a 24-hours urinary creatinine excretion to detect nitrogen balance and calculate body composition parameters.

RESULTS

Data of 117 patients (55.5% females), mean age 84.6±7.5 (range 66-98 years) was analyzed. Dysphagic patients (60) differed from non-dysphagic patients (57) by lower body mass index (p=0.020), fat mass index (p=0.017), daily protein intake (p<0.0001), daily energy intake (p<0.001), protein related energy intake (p<0.001) and a negative nitrogen balance (p<0.001). In regression analyses, dysphagia was associated with increased risk of having a body mass index lower than 22.0kg/m2 (OR=2.60, 95% CI 1.135-5.943), a negative nitrogen balance (OR=2.33, 95% CI 1.063-4.669), a low fat mass index (OR=2.53, 95% CI 1.066-6.007), and low daily protein and energy intakes per body weight (OR=2.87, 95% CI 1.316-6.268 and OR=2.99, 95% CI 1.297-6.880). Compared with orally-fed dysphagic patients (21pts.), percutaneous endoscopic gastrostomy -fed patients (39pts.) received an additional mean energy intake of 30.5% kcal per day and mean protein intake of 26.0%. This additional intake was not associated with improved body composition parameters (such as fat free mass, skeletal mass or body mass index).

CONCLUSION

Dysphagic nursing home residents are characterized by worse nutritional, metabolic and body composition parameters, compared with non-dysphagic residents. Body composition parameters did not differ between orally-fed and percutaneous endoscopic gastrostomy-fed dysphagic patients, despite significantly better nutritional and metabolic parameters in PEG-fed patients. Other approaches (perhaps physical training, pharmacological etc.) should be sought to improve body composition of such patients.

Low fat-free mass as a marker of mortality in community-dwelling healthy elderly subjects

BACKGROUND

low fat-free mass has been related to high mortality in patients. This study evaluated the relationship between body composition of healthy elderly subjects and mortality.

METHODS

in 1999, 203 older subjects underwent measurements of body composition by bioelectrical impedance analysis, Charlson co-morbidity index and estimation of energy expenditure through physical activity by a validated questionnaire. These measurements were repeated in 2002, 2005 and 2008 in all consenting subjects. Mortality data between 1999 and 2010 were retrieved from the local death registers. The relationship between mortality and the last indexes of fat and fat-free masses was analysed by multiple Cox regression models.

RESULTS

women's and men's data at last follow-up were: age 81.1 ± 5.9 and 80.9 ± 5.8 years, body mass index 25.3 ± 4.6 and 26.1 ± 3.4 kg/m(2), fat-free mass index 16.4 ± 1.8 and 19.3 ± 1.9 kg/m(2) and fat mass index 9.0 ± 3.2 and 6.8 ± 2.0 kg/m(2). Fifty-eight subjects died between 1999 and 2010. The fat-free mass index (hazard ratio 0.77; 95% confidence interval 0.63-0.95) but not the fat mass index, predicted mortality in addition to sex and Charlson index. The multiple Cox regression model explained 31% of the variance of mortality.

CONCLUSION

a low fat-free mass index is an independent risk factor of mortality in elderly subjects, healthy at the time of body composition measurement.

Skeletal muscle mass abnormalities are associated with survival rates of institutionalized elderly nursing home residents

BACKGROUND

Knowledge about the changes in skeletal muscle mass in nursing home residents is very limited. We hypothesized that such patients have different types of skeletal muscle mass abnormalities that may affect mortality rates. Therefore, the objective of this study was to evaluate the prevalence and extent of skeletal muscle mass decline, its different clinical phenotypes (sarcopenia, wasting/atrophy and cachexia) and the mortality rates associated with these abnormalities.

METHODS

A retrospective chart-review study comprising 109 institutionalized nursing home residents. Body mass index, body fat mass, fat free mass, skeletal muscle mass and survival rates were assessed.

RESULTS

Skeletal muscle mass abnormalities were found among 73 out of 109 (67.0%) patients and were more prevalent in males compared with females (97.8% and 43.8%, respectively, p<0.001). Most of these patients had muscle wasting/atrophy (51.4%) or sarcopenia (40.3%), and 9.7% suffered from cachexia. One third of the patients with abnorrmal skeletal muscle mass showed a moderate decline of skeletal muscle mass (34.7%) while the remainder (65.3%) had very low levels of skeletal muscle mass. Each group was characterized by typical medical conditions associated with skeletal muscle mass abnormality. A Kaplan-Meier survival plot of mortality showed only lower one-year survival rates in the group with sarcopenia (60%) and muscle atrophy or cachexia (53%), compared with elderly participants with a normal skeletal muscle mass (73%), (p<0.0001). There were no significant differences in 1-year mortality rates between patients with abnormal skeletal muscle mass (whether sarcopenia, cachexia or wasting).

CONCLUSION

About two thirds of nursing home patients show skeletal muscle mass abnormalities, most within the range of very low skeletal muscle mass rather than moderately low skeletal muscle mass, that are associated with shorter survival rates, compared with normal skeletal muscle mass patients.

In utero glucocorticoid exposure reduces fetal skeletal muscle mass in rats independent of effects on maternal nutrition

Maternal stress and undernutrition can occur together and expose the fetus to high glucocorticoid (GLC) levels during this vulnerable period. To determine the consequences of GLC exposure on fetal skeletal muscle independently of maternal food intake, groups of timed-pregnant Sprague-Dawley rats (n = 7/group) were studied: ad libitum food intake (control, CON); ad libitum food intake with 1 mg dexamethasone/l drinking water from embryonic day (ED)13 to ED21 (DEX); pair-fed (PF) to DEX from ED13 to ED21. On ED22, dams were injected with [(3)H]phenylalanine for measurements of fetal leg muscle and diaphragm fractional protein synthesis rates (FSR). Fetal muscles were analyzed for protein and RNA contents, [(3)H]phenylalanine incorporation, and MuRF1 and atrogin-1 (MAFbx) mRNA expression. Fetal liver tyrosine aminotransferase (TAT) expression was quantified to assess fetal exposure to GLCs. DEX treatment reduced maternal food intake by 13% (P < 0.001) and significantly reduced placental mass relative to CON and PF dams. Liver TAT expression was elevated only in DEX fetuses (P < 0.01). DEX muscle protein masses were 56% and 70% than those of CON (P < 0.01) and PF (P < 0.05) fetuses, respectively; PF muscles were 80% of CON (P < 0.01). Muscle FSR decreased by 35% in DEX fetuses (P < 0.001) but were not different between PF and CON. Only atrogin-1 expression was increased in DEX fetus muscles. We conclude that high maternal GLC levels and inadequate maternal food intake impair fetal skeletal muscle growth, most likely through different mechanisms. When combined, the effects of decreased maternal intake and maternal GLC intake on fetal muscle growth are additive.

Body composition: why, when and for who?

Body composition reflects nutritional intakes, losses and needs over time. Undernutrition, i.e. fat-free mass (FFM) loss, is associated with decreased survival, worse clinical outcome and quality of life, as well as increased therapy toxicity in cancer patients. In numerous clinical situations, such as sarcopenic obesity and chronic diseases, the measurement of body composition with available methods, such as dual-X ray absorptiometry, computerized tomography and bioelectrical impedance analysis, quantifies the loss of FFM, whereas body weight loss and body mass index only inconstantly reflect FFM loss. The measurement of body composition allows documenting the efficiency of nutrition support, tailoring the choice of disease-specific and nutritional therapies and evaluating their efficacy and putative toxicity. Easy-to-use body composition methods integrated to the routine of care allow sequential measurements for an initial nutritional assessment and objective patients follow-up. By allowing an earlier and objective management of undernutrition, body composition assessment could contribute to reduce undernutrition-induced morbidity, worsening of quality of life, and global health care costs by a timely nutrition intervention.

The evaluation of body composition: a useful tool for clinical practice

Undernutrition is insufficiently detected in in- and outpatients, and this is likely to worsen during the next decades. The increased prevalence of obesity together with chronic illnesses associated with fat-free mass (FFM) loss will result in an increased prevalence of sarcopenic obesity. In patients with sarcopenic obesity, weight loss and the body mass index lack accuracy to detect FFM loss. FFM loss is related to increasing mortality, worse clinical outcomes, and impaired quality of life. In sarcopenic obesity and chronic diseases, body composition measurement with dual-energy X-ray absorptiometry, bioelectrical impedance analysis, or computerized tomography quantifies the loss of FFM. It allows tailored nutritional support and disease-specific therapy and reduces the risk of drug toxicity. Body composition evaluation should be integrated into routine clinical practice for the initial assessment and sequential follow-up of nutritional status. It could allow objective, systematic, and early screening of undernutrition and promote the rational and early initiation of optimal nutritional support, thereby contributing to reducing malnutrition-induced morbidity, mortality, worsening of the quality of life, and global health care costs.

Predicting the outcome of long-term care by clinical and functional indices: the role of nutritional status

In elderly subjects, past researches have already underlined the role of nutritional status as a basic factor able to influence the prognosis either in acute wards or in rehabilitation and long-term care settings. Aim of the study is that of retrospectively verify, through a multivariate analysis, the factors able to condition mortality in long-term care, paying particular attention to the nutritional status.

METHODS

The survey included 513 patients aged more than 65 years admitted to a long-term care unit during a three years period. Exitus within the first three months of hospitalization was considered the outcome variable, while baseline functional, cognitive, clinical and nutritional status were considered the independent variables eventually related to mortality.

RESULTS

The univariate analysis found that some variables were significantly correlated with the outcome: comorbidity, ADL, cognitive status, pressure sores, albumin, transferrin, CRP, mucoprotein, cholesterol, cholinesterase, MAMC and MNA. The predictive value of the block model of the logistic regression analysis was 77.9% (specificity = 85.3%, sensitivity = 63.9%). With the forward stepwise analysis only MNA, cholinesterase, CRP and mucoprotein were considered in the final model. In this case the predictive value of the model was 79.3% (specificity = 84.6%, sensitivity = 69.46%).

Clinical trials on sarcopenia: methodological issues regarding phase 3 trials

Phase 3 trials estimate the effectiveness of an intervention to prevent, delay the onset of, or treat sarcopenia. Participants should have sarcopenia or present a sarcopenia risk profile. Control group should be characterized by the best standard of clinical care. This article further develops issues on sarcopenia definition, target population, primary and secondary end points, duration of the trials, muscle mass assessment, strength and physical performance assessment, and control of possible confounders. The challenges to conduct phase 3 trials in the elderly should not offset the opportunities for the development of new strategies to counteract sarcopenia and prevent late-life disability.

Quantification of lean tissue losses during cancer and HIV infection/AIDS

PURPOSE OF REVIEW

Cancer and HIV infection/AIDS are associated with an increased risk of undernutrition and cachexia. During the past decade, patients became older, frequently overweight or obese and sedentary, conditions which are likely to result in fat-free mass (FFM) loss. This review sustains the hypothesis that FFM measurement should be implemented in routine clinical practice, to optimize the management of cancer and AIDS, as well as disease-related undernutrition.

RECENT FINDINGS

Undernutrition and FFM loss are associated with worse clinical outcome and increased therapy toxicity in cancer and AIDS patients. The emergence of the concept of sarcopenic obesity in cancer patients, a condition associated with decreased survival, demonstrates the necessity to assess their body composition with easily available methods, such as dual energy X-ray absorptiometry, computerized tomography and bioelectrical impedance analysis. FFM measurement could be helpful for guiding the choice of both disease-specific and nutritional therapies and for evaluating their efficacy and putative toxicity.

SUMMARY

FFM measurement at different steps of disease course could allow improving the guidance and efficacy of both cancer and HIV/AIDS-specific and nutritional therapies. The repeated measurement of FFM could allow reducing undernutrition-related morbidity, mortality and global healthcare costs, and could improve response and tolerance towards therapy, and quality of life.

Larger body mass index and waist circumference are associated with lower mortality in Chinese long-term care facility residents

OBJECTIVES

To investigate the association between body mass index (BMI) and waist circumference (WC) and all-cause mortality of Chinese residents in long-term care facilities in Taiwan.

DESIGN

Prospective cohort study.

SETTING

Eight long-term care facilities in Taiwan.

PARTICIPANTS

Three hundred fifty-four residents aged 60 and older (median 78.4, range 60-101; 156 men, 198 women) were recruited during the study period.

MEASUREMENTS

Anthropometrics and metabolic parameters were measured at baseline. Mean BMI was 21.7 ± 4.2 kg/m(2) (range 11.6-35.3 kg/m(2) , and mean WC was 82.4 ± 10.9 cm (range 55.0-124.0 cm). Mortality data were from the Department of Health in Taiwan.

RESULTS

There were 219 deaths during the 5 years of follow-up. After adjusting for age, sex, albumin, Karnofsky performance status scale, hypertension, and diabetes mellitus, subjects in the highest quartile of BMI (27.3 ± 2.8 kg/m(2) ) and WC (96.7 ± 7.4 cm) had a significantly lower mortality rate than did subjects in the lowest quartile (BMI, 16.7 ± 1.7 kg/m(2) ; WC, 69.6 ± 4.2 cm). After further stratification according to central obesity status, the subjects in the two highest BMI quartiles had a lower mortality rate than those in the lowest BMI quartile but only in the central obesity group (≥ 90 cm in men or ≥ 80 cm in women). The adjusted relative risk for all-cause mortality in the highest versus lowest BMI quartile was 0.17 (95% confidence interval = 0.05-0.57).

CONCLUSION

BMI and WC were negative predictors for all-cause mortality in older Chinese adults living in long-term care facilities. Participants with higher WC and BMI had lower all-cause mortality.

Functional consequences of sarcopenia and dynapenia in the elderly

PURPOSE OF REVIEW

The economic burden due to the sequela of sarcopenia (muscle wasting in the elderly) are staggering and rank similarly to the costs associated with osteoporotic fractures. In this article, we discuss the societal burden and determinants of the loss of physical function with advancing age, the physiologic mechanisms underlying dynapenia (muscle weakness in the elderly), and provide perspectives on related critical issues to be addressed.

RECENT FINDINGS

Recent epidemiological findings from longitudinal aging studies suggest that dynapenia is highly associated with both mortality and physical disability even when adjusting for sarcopenia indicating that sarcopenia may be secondary to the effects of dynapenia. These findings are consistent with the physiologic underpinnings of muscle strength, as recent evidence demonstrates that alterations in muscle quantity, contractile quality and neural activation all collectively contribute to dynapenia.

SUMMARY

Although muscle mass is essential for regulation of whole body metabolic balance, overall neuromuscular function seems to be a critical factor for maintaining muscle strength and physical independence in the elderly. The relative contribution of physiologic factors contributing to muscle weakness are not fully understood and further research is needed to better elucidate these mechanisms between muscle groups and across populations.